R markdown proof editing
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@ -2,7 +2,7 @@
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# Introduction {#communicate-intro}
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So far, you've learned the tools to get your data into R, tidy it into a form convenient for analysis, and then understand you data through transformation, visualisation and modelling. However, it doesn't matter how great your analysis is unless you can explain it to others: you need to __communicate__ your results.
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So far, you've learned the tools to get your data into R, tidy it into a form convenient for analysis, and then understand you data through transformation, visualisation and modelling. Next you'll learn how to __communicate__ your results because it doesn't matter how great your analysis is unless you can explain it to someone else.
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```{r echo = FALSE, out.width = "75%"}
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knitr::include_graphics("diagrams/data-science-communicate.png")
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@ -25,7 +25,8 @@ Communication is the theme of the following four chapters:
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of outputs you can produce using R Markdown, including dashboards, websites,
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and books.
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* We'll finish up with [R Markdown workflow], where you'll learn a fourth
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workflow in which R Markdown takes center stage.
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* We'll finish up with [R Markdown workflow], where you'll learn about the
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"analysis notebook" and how to systematically record your successes and
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failures so that you can learn from them.
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Unfortunately these chapters focus mostly on the technical mechanics of communication, not the really hard problems of communicating your thoughts to other humans. However, there are lot of other great books about communication, which we'll point you to at the end of each chapter.
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@ -1,25 +0,0 @@
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---
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title: "Viridis Demo"
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output: html_document
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---
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```{r setup, include = FALSE}
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library(viridis)
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```
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The code below demonstrates two color palettes in the
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[viridis](https://github.com/sjmgarnier/viridis) package.
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Each plot displays a contour map of the Maunga Whau volcano
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in Auckland, New Zealand.
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## Viridis colors
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```{r}
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image(volcano, col = viridis(200))
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```
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## Magma colors
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```{r}
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image(volcano, col = viridis(200, option = "A"))
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```
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@ -1,22 +0,0 @@
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---
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title: "Viridis Demo"
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output: html_document
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---
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```{r include = FALSE}
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library(viridis)
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```
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The code below demonstrates two color palettes in the [viridis](https://github.com/sjmgarnier/viridis) package. Each plot displays a contour map of the Maunga Whau volcano in Auckland, New Zealand.
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## Viridis colors
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```{r}
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image(volcano, col = viridis(200))
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```
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## Magma colors
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```{r}
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image(volcano, col = viridis(200, option = "A"))
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```
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@ -1,17 +0,0 @@
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---
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title: "More colors"
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output: html_document
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---
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```{r include = FALSE}
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colorFunc <- "terrain.colors"
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```
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Base R comes with many functions for generating colors. The code
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below demonstrates the `r colorFunc` function.
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## `r colorFunc`
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```{r fig.cap = "The Maunga Whau volcano.", echo = FALSE}
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image(volcano, col = get(colorFunc)(200))
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```
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Before Width: | Height: | Size: 36 KiB |
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@ -1,587 +0,0 @@
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/*!
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* Bootstrap v3.3.5 (http://getbootstrap.com)
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* Copyright 2011-2015 Twitter, Inc.
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* Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
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*/
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.btn-default,
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.btn-primary,
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.btn-success,
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.btn-info,
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.btn-warning,
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.btn-danger {
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text-shadow: 0 -1px 0 rgba(0, 0, 0, .2);
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-webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, .15), 0 1px 1px rgba(0, 0, 0, .075);
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box-shadow: inset 0 1px 0 rgba(255, 255, 255, .15), 0 1px 1px rgba(0, 0, 0, .075);
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}
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.btn-default:active,
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.btn-primary:active,
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.btn-success:active,
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.btn-info:active,
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.btn-warning:active,
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.btn-danger:active,
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.btn-default.active,
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.btn-primary.active,
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.btn-success.active,
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.btn-info.active,
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.btn-warning.active,
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.btn-danger.active {
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-webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, .125);
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box-shadow: inset 0 3px 5px rgba(0, 0, 0, .125);
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}
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.btn-default.disabled,
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.btn-primary.disabled,
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.btn-success.disabled,
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.btn-info.disabled,
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.btn-warning.disabled,
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.btn-danger.disabled,
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.btn-default[disabled],
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.btn-primary[disabled],
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.btn-success[disabled],
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.btn-info[disabled],
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.btn-warning[disabled],
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.btn-danger[disabled],
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fieldset[disabled] .btn-default,
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fieldset[disabled] .btn-primary,
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fieldset[disabled] .btn-success,
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fieldset[disabled] .btn-info,
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fieldset[disabled] .btn-warning,
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fieldset[disabled] .btn-danger {
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-webkit-box-shadow: none;
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box-shadow: none;
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}
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.btn-default .badge,
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.btn-primary .badge,
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.btn-success .badge,
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.btn-info .badge,
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.btn-warning .badge,
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.btn-danger .badge {
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text-shadow: none;
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}
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.btn:active,
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.btn.active {
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background-image: none;
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}
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.btn-default {
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text-shadow: 0 1px 0 #fff;
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background-image: -webkit-linear-gradient(top, #fff 0%, #e0e0e0 100%);
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background-image: -o-linear-gradient(top, #fff 0%, #e0e0e0 100%);
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background-image: -webkit-gradient(linear, left top, left bottom, from(#fff), to(#e0e0e0));
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background-image: linear-gradient(to bottom, #fff 0%, #e0e0e0 100%);
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filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#ffe0e0e0', GradientType=0);
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filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
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background-repeat: repeat-x;
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border-color: #dbdbdb;
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border-color: #ccc;
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}
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.btn-default:hover,
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.btn-default:focus {
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background-color: #e0e0e0;
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background-position: 0 -15px;
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}
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.btn-default:active,
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.btn-default.active {
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background-color: #e0e0e0;
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border-color: #dbdbdb;
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}
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.btn-default.disabled,
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.btn-default[disabled],
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fieldset[disabled] .btn-default,
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.btn-default.disabled:hover,
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.btn-default[disabled]:hover,
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fieldset[disabled] .btn-default:hover,
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.btn-default.disabled:focus,
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.btn-default[disabled]:focus,
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fieldset[disabled] .btn-default:focus,
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.btn-default.disabled.focus,
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.btn-default[disabled].focus,
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fieldset[disabled] .btn-default.focus,
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.btn-default.disabled:active,
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.btn-default[disabled]:active,
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fieldset[disabled] .btn-default:active,
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.btn-default.disabled.active,
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.btn-default[disabled].active,
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fieldset[disabled] .btn-default.active {
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background-color: #e0e0e0;
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background-image: none;
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}
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.btn-primary {
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background-image: -webkit-linear-gradient(top, #337ab7 0%, #265a88 100%);
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background-image: -o-linear-gradient(top, #337ab7 0%, #265a88 100%);
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background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#265a88));
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background-image: linear-gradient(to bottom, #337ab7 0%, #265a88 100%);
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filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff265a88', GradientType=0);
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filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
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background-repeat: repeat-x;
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border-color: #245580;
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}
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.btn-primary:hover,
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.btn-primary:focus {
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background-color: #265a88;
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background-position: 0 -15px;
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}
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.btn-primary:active,
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.btn-primary.active {
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background-color: #265a88;
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border-color: #245580;
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}
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.btn-primary.disabled,
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.btn-primary[disabled],
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fieldset[disabled] .btn-primary,
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.btn-primary.disabled:hover,
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.btn-primary[disabled]:hover,
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fieldset[disabled] .btn-primary:hover,
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.btn-primary.disabled:focus,
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.btn-primary[disabled]:focus,
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fieldset[disabled] .btn-primary:focus,
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.btn-primary.disabled.focus,
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.btn-primary[disabled].focus,
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fieldset[disabled] .btn-primary.focus,
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.btn-primary.disabled:active,
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.btn-primary[disabled]:active,
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fieldset[disabled] .btn-primary:active,
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.btn-primary.disabled.active,
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.btn-primary[disabled].active,
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fieldset[disabled] .btn-primary.active {
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background-color: #265a88;
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background-image: none;
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}
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.btn-success {
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background-image: -webkit-linear-gradient(top, #5cb85c 0%, #419641 100%);
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background-image: -o-linear-gradient(top, #5cb85c 0%, #419641 100%);
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background-image: -webkit-gradient(linear, left top, left bottom, from(#5cb85c), to(#419641));
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background-image: linear-gradient(to bottom, #5cb85c 0%, #419641 100%);
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filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5cb85c', endColorstr='#ff419641', GradientType=0);
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filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
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background-repeat: repeat-x;
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border-color: #3e8f3e;
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}
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.btn-success:hover,
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.btn-success:focus {
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background-color: #419641;
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background-position: 0 -15px;
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}
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.btn-success:active,
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.btn-success.active {
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background-color: #419641;
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border-color: #3e8f3e;
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}
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||||
.btn-success.disabled,
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.btn-success[disabled],
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fieldset[disabled] .btn-success,
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.btn-success.disabled:hover,
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.btn-success[disabled]:hover,
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fieldset[disabled] .btn-success:hover,
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.btn-success.disabled:focus,
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.btn-success[disabled]:focus,
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||||
fieldset[disabled] .btn-success:focus,
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.btn-success.disabled.focus,
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.btn-success[disabled].focus,
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||||
fieldset[disabled] .btn-success.focus,
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.btn-success.disabled:active,
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.btn-success[disabled]:active,
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fieldset[disabled] .btn-success:active,
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||||
.btn-success.disabled.active,
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.btn-success[disabled].active,
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||||
fieldset[disabled] .btn-success.active {
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||||
background-color: #419641;
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background-image: none;
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||||
}
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.btn-info {
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background-image: -webkit-linear-gradient(top, #5bc0de 0%, #2aabd2 100%);
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background-image: -o-linear-gradient(top, #5bc0de 0%, #2aabd2 100%);
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||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#5bc0de), to(#2aabd2));
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||||
background-image: linear-gradient(to bottom, #5bc0de 0%, #2aabd2 100%);
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||||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff2aabd2', GradientType=0);
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filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
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||||
background-repeat: repeat-x;
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border-color: #28a4c9;
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}
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.btn-info:hover,
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.btn-info:focus {
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background-color: #2aabd2;
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background-position: 0 -15px;
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}
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.btn-info:active,
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.btn-info.active {
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background-color: #2aabd2;
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border-color: #28a4c9;
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}
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.btn-info.disabled,
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.btn-info[disabled],
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fieldset[disabled] .btn-info,
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.btn-info.disabled:hover,
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.btn-info[disabled]:hover,
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fieldset[disabled] .btn-info:hover,
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.btn-info.disabled:focus,
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.btn-info[disabled]:focus,
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fieldset[disabled] .btn-info:focus,
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.btn-info.disabled.focus,
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.btn-info[disabled].focus,
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fieldset[disabled] .btn-info.focus,
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.btn-info.disabled:active,
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.btn-info[disabled]:active,
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fieldset[disabled] .btn-info:active,
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.btn-info.disabled.active,
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.btn-info[disabled].active,
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fieldset[disabled] .btn-info.active {
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background-color: #2aabd2;
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background-image: none;
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||||
}
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||||
.btn-warning {
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background-image: -webkit-linear-gradient(top, #f0ad4e 0%, #eb9316 100%);
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background-image: -o-linear-gradient(top, #f0ad4e 0%, #eb9316 100%);
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||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#f0ad4e), to(#eb9316));
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||||
background-image: linear-gradient(to bottom, #f0ad4e 0%, #eb9316 100%);
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filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff0ad4e', endColorstr='#ffeb9316', GradientType=0);
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filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
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||||
background-repeat: repeat-x;
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border-color: #e38d13;
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}
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.btn-warning:hover,
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.btn-warning:focus {
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background-color: #eb9316;
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background-position: 0 -15px;
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}
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.btn-warning:active,
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.btn-warning.active {
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background-color: #eb9316;
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border-color: #e38d13;
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}
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.btn-warning.disabled,
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.btn-warning[disabled],
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fieldset[disabled] .btn-warning,
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.btn-warning.disabled:hover,
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.btn-warning[disabled]:hover,
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||||
fieldset[disabled] .btn-warning:hover,
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||||
.btn-warning.disabled:focus,
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||||
.btn-warning[disabled]:focus,
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||||
fieldset[disabled] .btn-warning:focus,
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||||
.btn-warning.disabled.focus,
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.btn-warning[disabled].focus,
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||||
fieldset[disabled] .btn-warning.focus,
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||||
.btn-warning.disabled:active,
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.btn-warning[disabled]:active,
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fieldset[disabled] .btn-warning:active,
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||||
.btn-warning.disabled.active,
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||||
.btn-warning[disabled].active,
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||||
fieldset[disabled] .btn-warning.active {
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||||
background-color: #eb9316;
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||||
background-image: none;
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||||
}
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||||
.btn-danger {
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||||
background-image: -webkit-linear-gradient(top, #d9534f 0%, #c12e2a 100%);
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background-image: -o-linear-gradient(top, #d9534f 0%, #c12e2a 100%);
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||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#d9534f), to(#c12e2a));
|
||||
background-image: linear-gradient(to bottom, #d9534f 0%, #c12e2a 100%);
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||||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9534f', endColorstr='#ffc12e2a', GradientType=0);
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||||
filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
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||||
background-repeat: repeat-x;
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||||
border-color: #b92c28;
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||||
}
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||||
.btn-danger:hover,
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||||
.btn-danger:focus {
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||||
background-color: #c12e2a;
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||||
background-position: 0 -15px;
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||||
}
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||||
.btn-danger:active,
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.btn-danger.active {
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||||
background-color: #c12e2a;
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||||
border-color: #b92c28;
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||||
}
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||||
.btn-danger.disabled,
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||||
.btn-danger[disabled],
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||||
fieldset[disabled] .btn-danger,
|
||||
.btn-danger.disabled:hover,
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||||
.btn-danger[disabled]:hover,
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||||
fieldset[disabled] .btn-danger:hover,
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||||
.btn-danger.disabled:focus,
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||||
.btn-danger[disabled]:focus,
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||||
fieldset[disabled] .btn-danger:focus,
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||||
.btn-danger.disabled.focus,
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.btn-danger[disabled].focus,
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||||
fieldset[disabled] .btn-danger.focus,
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||||
.btn-danger.disabled:active,
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||||
.btn-danger[disabled]:active,
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||||
fieldset[disabled] .btn-danger:active,
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||||
.btn-danger.disabled.active,
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||||
.btn-danger[disabled].active,
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fieldset[disabled] .btn-danger.active {
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||||
background-color: #c12e2a;
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||||
background-image: none;
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||||
}
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||||
.thumbnail,
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||||
.img-thumbnail {
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||||
-webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, .075);
|
||||
box-shadow: 0 1px 2px rgba(0, 0, 0, .075);
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||||
}
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||||
.dropdown-menu > li > a:hover,
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||||
.dropdown-menu > li > a:focus {
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||||
background-color: #e8e8e8;
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||||
background-image: -webkit-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);
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||||
background-image: -o-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);
|
||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#f5f5f5), to(#e8e8e8));
|
||||
background-image: linear-gradient(to bottom, #f5f5f5 0%, #e8e8e8 100%);
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||||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff5f5f5', endColorstr='#ffe8e8e8', GradientType=0);
|
||||
background-repeat: repeat-x;
|
||||
}
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||||
.dropdown-menu > .active > a,
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||||
.dropdown-menu > .active > a:hover,
|
||||
.dropdown-menu > .active > a:focus {
|
||||
background-color: #2e6da4;
|
||||
background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%);
|
||||
background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%);
|
||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#2e6da4));
|
||||
background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%);
|
||||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0);
|
||||
background-repeat: repeat-x;
|
||||
}
|
||||
.navbar-default {
|
||||
background-image: -webkit-linear-gradient(top, #fff 0%, #f8f8f8 100%);
|
||||
background-image: -o-linear-gradient(top, #fff 0%, #f8f8f8 100%);
|
||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#fff), to(#f8f8f8));
|
||||
background-image: linear-gradient(to bottom, #fff 0%, #f8f8f8 100%);
|
||||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#fff8f8f8', GradientType=0);
|
||||
filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
|
||||
background-repeat: repeat-x;
|
||||
border-radius: 4px;
|
||||
-webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, .15), 0 1px 5px rgba(0, 0, 0, .075);
|
||||
box-shadow: inset 0 1px 0 rgba(255, 255, 255, .15), 0 1px 5px rgba(0, 0, 0, .075);
|
||||
}
|
||||
.navbar-default .navbar-nav > .open > a,
|
||||
.navbar-default .navbar-nav > .active > a {
|
||||
background-image: -webkit-linear-gradient(top, #dbdbdb 0%, #e2e2e2 100%);
|
||||
background-image: -o-linear-gradient(top, #dbdbdb 0%, #e2e2e2 100%);
|
||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#dbdbdb), to(#e2e2e2));
|
||||
background-image: linear-gradient(to bottom, #dbdbdb 0%, #e2e2e2 100%);
|
||||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdbdbdb', endColorstr='#ffe2e2e2', GradientType=0);
|
||||
background-repeat: repeat-x;
|
||||
-webkit-box-shadow: inset 0 3px 9px rgba(0, 0, 0, .075);
|
||||
box-shadow: inset 0 3px 9px rgba(0, 0, 0, .075);
|
||||
}
|
||||
.navbar-brand,
|
||||
.navbar-nav > li > a {
|
||||
text-shadow: 0 1px 0 rgba(255, 255, 255, .25);
|
||||
}
|
||||
.navbar-inverse {
|
||||
background-image: -webkit-linear-gradient(top, #3c3c3c 0%, #222 100%);
|
||||
background-image: -o-linear-gradient(top, #3c3c3c 0%, #222 100%);
|
||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#3c3c3c), to(#222));
|
||||
background-image: linear-gradient(to bottom, #3c3c3c 0%, #222 100%);
|
||||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff3c3c3c', endColorstr='#ff222222', GradientType=0);
|
||||
filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
|
||||
background-repeat: repeat-x;
|
||||
border-radius: 4px;
|
||||
}
|
||||
.navbar-inverse .navbar-nav > .open > a,
|
||||
.navbar-inverse .navbar-nav > .active > a {
|
||||
background-image: -webkit-linear-gradient(top, #080808 0%, #0f0f0f 100%);
|
||||
background-image: -o-linear-gradient(top, #080808 0%, #0f0f0f 100%);
|
||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#080808), to(#0f0f0f));
|
||||
background-image: linear-gradient(to bottom, #080808 0%, #0f0f0f 100%);
|
||||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff080808', endColorstr='#ff0f0f0f', GradientType=0);
|
||||
background-repeat: repeat-x;
|
||||
-webkit-box-shadow: inset 0 3px 9px rgba(0, 0, 0, .25);
|
||||
box-shadow: inset 0 3px 9px rgba(0, 0, 0, .25);
|
||||
}
|
||||
.navbar-inverse .navbar-brand,
|
||||
.navbar-inverse .navbar-nav > li > a {
|
||||
text-shadow: 0 -1px 0 rgba(0, 0, 0, .25);
|
||||
}
|
||||
.navbar-static-top,
|
||||
.navbar-fixed-top,
|
||||
.navbar-fixed-bottom {
|
||||
border-radius: 0;
|
||||
}
|
||||
@media (max-width: 767px) {
|
||||
.navbar .navbar-nav .open .dropdown-menu > .active > a,
|
||||
.navbar .navbar-nav .open .dropdown-menu > .active > a:hover,
|
||||
.navbar .navbar-nav .open .dropdown-menu > .active > a:focus {
|
||||
color: #fff;
|
||||
background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%);
|
||||
background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%);
|
||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#2e6da4));
|
||||
background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%);
|
||||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0);
|
||||
background-repeat: repeat-x;
|
||||
}
|
||||
}
|
||||
.alert {
|
||||
text-shadow: 0 1px 0 rgba(255, 255, 255, .2);
|
||||
-webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, .25), 0 1px 2px rgba(0, 0, 0, .05);
|
||||
box-shadow: inset 0 1px 0 rgba(255, 255, 255, .25), 0 1px 2px rgba(0, 0, 0, .05);
|
||||
}
|
||||
.alert-success {
|
||||
background-image: -webkit-linear-gradient(top, #dff0d8 0%, #c8e5bc 100%);
|
||||
background-image: -o-linear-gradient(top, #dff0d8 0%, #c8e5bc 100%);
|
||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#dff0d8), to(#c8e5bc));
|
||||
background-image: linear-gradient(to bottom, #dff0d8 0%, #c8e5bc 100%);
|
||||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdff0d8', endColorstr='#ffc8e5bc', GradientType=0);
|
||||
background-repeat: repeat-x;
|
||||
border-color: #b2dba1;
|
||||
}
|
||||
.alert-info {
|
||||
background-image: -webkit-linear-gradient(top, #d9edf7 0%, #b9def0 100%);
|
||||
background-image: -o-linear-gradient(top, #d9edf7 0%, #b9def0 100%);
|
||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#d9edf7), to(#b9def0));
|
||||
background-image: linear-gradient(to bottom, #d9edf7 0%, #b9def0 100%);
|
||||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9edf7', endColorstr='#ffb9def0', GradientType=0);
|
||||
background-repeat: repeat-x;
|
||||
border-color: #9acfea;
|
||||
}
|
||||
.alert-warning {
|
||||
background-image: -webkit-linear-gradient(top, #fcf8e3 0%, #f8efc0 100%);
|
||||
background-image: -o-linear-gradient(top, #fcf8e3 0%, #f8efc0 100%);
|
||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#fcf8e3), to(#f8efc0));
|
||||
background-image: linear-gradient(to bottom, #fcf8e3 0%, #f8efc0 100%);
|
||||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffcf8e3', endColorstr='#fff8efc0', GradientType=0);
|
||||
background-repeat: repeat-x;
|
||||
border-color: #f5e79e;
|
||||
}
|
||||
.alert-danger {
|
||||
background-image: -webkit-linear-gradient(top, #f2dede 0%, #e7c3c3 100%);
|
||||
background-image: -o-linear-gradient(top, #f2dede 0%, #e7c3c3 100%);
|
||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#f2dede), to(#e7c3c3));
|
||||
background-image: linear-gradient(to bottom, #f2dede 0%, #e7c3c3 100%);
|
||||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff2dede', endColorstr='#ffe7c3c3', GradientType=0);
|
||||
background-repeat: repeat-x;
|
||||
border-color: #dca7a7;
|
||||
}
|
||||
.progress {
|
||||
background-image: -webkit-linear-gradient(top, #ebebeb 0%, #f5f5f5 100%);
|
||||
background-image: -o-linear-gradient(top, #ebebeb 0%, #f5f5f5 100%);
|
||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#ebebeb), to(#f5f5f5));
|
||||
background-image: linear-gradient(to bottom, #ebebeb 0%, #f5f5f5 100%);
|
||||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffebebeb', endColorstr='#fff5f5f5', GradientType=0);
|
||||
background-repeat: repeat-x;
|
||||
}
|
||||
.progress-bar {
|
||||
background-image: -webkit-linear-gradient(top, #337ab7 0%, #286090 100%);
|
||||
background-image: -o-linear-gradient(top, #337ab7 0%, #286090 100%);
|
||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#286090));
|
||||
background-image: linear-gradient(to bottom, #337ab7 0%, #286090 100%);
|
||||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff286090', GradientType=0);
|
||||
background-repeat: repeat-x;
|
||||
}
|
||||
.progress-bar-success {
|
||||
background-image: -webkit-linear-gradient(top, #5cb85c 0%, #449d44 100%);
|
||||
background-image: -o-linear-gradient(top, #5cb85c 0%, #449d44 100%);
|
||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#5cb85c), to(#449d44));
|
||||
background-image: linear-gradient(to bottom, #5cb85c 0%, #449d44 100%);
|
||||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5cb85c', endColorstr='#ff449d44', GradientType=0);
|
||||
background-repeat: repeat-x;
|
||||
}
|
||||
.progress-bar-info {
|
||||
background-image: -webkit-linear-gradient(top, #5bc0de 0%, #31b0d5 100%);
|
||||
background-image: -o-linear-gradient(top, #5bc0de 0%, #31b0d5 100%);
|
||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#5bc0de), to(#31b0d5));
|
||||
background-image: linear-gradient(to bottom, #5bc0de 0%, #31b0d5 100%);
|
||||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff31b0d5', GradientType=0);
|
||||
background-repeat: repeat-x;
|
||||
}
|
||||
.progress-bar-warning {
|
||||
background-image: -webkit-linear-gradient(top, #f0ad4e 0%, #ec971f 100%);
|
||||
background-image: -o-linear-gradient(top, #f0ad4e 0%, #ec971f 100%);
|
||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#f0ad4e), to(#ec971f));
|
||||
background-image: linear-gradient(to bottom, #f0ad4e 0%, #ec971f 100%);
|
||||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff0ad4e', endColorstr='#ffec971f', GradientType=0);
|
||||
background-repeat: repeat-x;
|
||||
}
|
||||
.progress-bar-danger {
|
||||
background-image: -webkit-linear-gradient(top, #d9534f 0%, #c9302c 100%);
|
||||
background-image: -o-linear-gradient(top, #d9534f 0%, #c9302c 100%);
|
||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#d9534f), to(#c9302c));
|
||||
background-image: linear-gradient(to bottom, #d9534f 0%, #c9302c 100%);
|
||||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9534f', endColorstr='#ffc9302c', GradientType=0);
|
||||
background-repeat: repeat-x;
|
||||
}
|
||||
.progress-bar-striped {
|
||||
background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, .15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, .15) 50%, rgba(255, 255, 255, .15) 75%, transparent 75%, transparent);
|
||||
background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, .15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, .15) 50%, rgba(255, 255, 255, .15) 75%, transparent 75%, transparent);
|
||||
background-image: linear-gradient(45deg, rgba(255, 255, 255, .15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, .15) 50%, rgba(255, 255, 255, .15) 75%, transparent 75%, transparent);
|
||||
}
|
||||
.list-group {
|
||||
border-radius: 4px;
|
||||
-webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, .075);
|
||||
box-shadow: 0 1px 2px rgba(0, 0, 0, .075);
|
||||
}
|
||||
.list-group-item.active,
|
||||
.list-group-item.active:hover,
|
||||
.list-group-item.active:focus {
|
||||
text-shadow: 0 -1px 0 #286090;
|
||||
background-image: -webkit-linear-gradient(top, #337ab7 0%, #2b669a 100%);
|
||||
background-image: -o-linear-gradient(top, #337ab7 0%, #2b669a 100%);
|
||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#2b669a));
|
||||
background-image: linear-gradient(to bottom, #337ab7 0%, #2b669a 100%);
|
||||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2b669a', GradientType=0);
|
||||
background-repeat: repeat-x;
|
||||
border-color: #2b669a;
|
||||
}
|
||||
.list-group-item.active .badge,
|
||||
.list-group-item.active:hover .badge,
|
||||
.list-group-item.active:focus .badge {
|
||||
text-shadow: none;
|
||||
}
|
||||
.panel {
|
||||
-webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, .05);
|
||||
box-shadow: 0 1px 2px rgba(0, 0, 0, .05);
|
||||
}
|
||||
.panel-default > .panel-heading {
|
||||
background-image: -webkit-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);
|
||||
background-image: -o-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);
|
||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#f5f5f5), to(#e8e8e8));
|
||||
background-image: linear-gradient(to bottom, #f5f5f5 0%, #e8e8e8 100%);
|
||||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff5f5f5', endColorstr='#ffe8e8e8', GradientType=0);
|
||||
background-repeat: repeat-x;
|
||||
}
|
||||
.panel-primary > .panel-heading {
|
||||
background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%);
|
||||
background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%);
|
||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#2e6da4));
|
||||
background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%);
|
||||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0);
|
||||
background-repeat: repeat-x;
|
||||
}
|
||||
.panel-success > .panel-heading {
|
||||
background-image: -webkit-linear-gradient(top, #dff0d8 0%, #d0e9c6 100%);
|
||||
background-image: -o-linear-gradient(top, #dff0d8 0%, #d0e9c6 100%);
|
||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#dff0d8), to(#d0e9c6));
|
||||
background-image: linear-gradient(to bottom, #dff0d8 0%, #d0e9c6 100%);
|
||||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdff0d8', endColorstr='#ffd0e9c6', GradientType=0);
|
||||
background-repeat: repeat-x;
|
||||
}
|
||||
.panel-info > .panel-heading {
|
||||
background-image: -webkit-linear-gradient(top, #d9edf7 0%, #c4e3f3 100%);
|
||||
background-image: -o-linear-gradient(top, #d9edf7 0%, #c4e3f3 100%);
|
||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#d9edf7), to(#c4e3f3));
|
||||
background-image: linear-gradient(to bottom, #d9edf7 0%, #c4e3f3 100%);
|
||||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9edf7', endColorstr='#ffc4e3f3', GradientType=0);
|
||||
background-repeat: repeat-x;
|
||||
}
|
||||
.panel-warning > .panel-heading {
|
||||
background-image: -webkit-linear-gradient(top, #fcf8e3 0%, #faf2cc 100%);
|
||||
background-image: -o-linear-gradient(top, #fcf8e3 0%, #faf2cc 100%);
|
||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#fcf8e3), to(#faf2cc));
|
||||
background-image: linear-gradient(to bottom, #fcf8e3 0%, #faf2cc 100%);
|
||||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffcf8e3', endColorstr='#fffaf2cc', GradientType=0);
|
||||
background-repeat: repeat-x;
|
||||
}
|
||||
.panel-danger > .panel-heading {
|
||||
background-image: -webkit-linear-gradient(top, #f2dede 0%, #ebcccc 100%);
|
||||
background-image: -o-linear-gradient(top, #f2dede 0%, #ebcccc 100%);
|
||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#f2dede), to(#ebcccc));
|
||||
background-image: linear-gradient(to bottom, #f2dede 0%, #ebcccc 100%);
|
||||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff2dede', endColorstr='#ffebcccc', GradientType=0);
|
||||
background-repeat: repeat-x;
|
||||
}
|
||||
.well {
|
||||
background-image: -webkit-linear-gradient(top, #e8e8e8 0%, #f5f5f5 100%);
|
||||
background-image: -o-linear-gradient(top, #e8e8e8 0%, #f5f5f5 100%);
|
||||
background-image: -webkit-gradient(linear, left top, left bottom, from(#e8e8e8), to(#f5f5f5));
|
||||
background-image: linear-gradient(to bottom, #e8e8e8 0%, #f5f5f5 100%);
|
||||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffe8e8e8', endColorstr='#fff5f5f5', GradientType=0);
|
||||
background-repeat: repeat-x;
|
||||
border-color: #dcdcdc;
|
||||
-webkit-box-shadow: inset 0 1px 3px rgba(0, 0, 0, .05), 0 1px 0 rgba(255, 255, 255, .1);
|
||||
box-shadow: inset 0 1px 3px rgba(0, 0, 0, .05), 0 1px 0 rgba(255, 255, 255, .1);
|
||||
}
|
||||
/*# sourceMappingURL=bootstrap-theme.css.map */
|
||||
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|
|
@ -1,288 +0,0 @@
|
|||
<?xml version="1.0" standalone="no"?>
|
||||
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd" >
|
||||
<svg xmlns="http://www.w3.org/2000/svg">
|
||||
<metadata></metadata>
|
||||
<defs>
|
||||
<font id="glyphicons_halflingsregular" horiz-adv-x="1200" >
|
||||
<font-face units-per-em="1200" ascent="960" descent="-240" />
|
||||
<missing-glyph horiz-adv-x="500" />
|
||||
<glyph horiz-adv-x="0" />
|
||||
<glyph horiz-adv-x="400" />
|
||||
<glyph unicode=" " />
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||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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||||
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|||
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|
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|
||||
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||||
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|
||||
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/*! Respond.js v1.4.2: min/max-width media query polyfill * Copyright 2013 Scott Jehl
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||||
* Licensed under https://github.com/scottjehl/Respond/blob/master/LICENSE-MIT
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||||
* */
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||||
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||||
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};
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||||
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||||
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font-weight: bold
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||||
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||||
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|
@ -1,60 +0,0 @@
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||||
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||||
$(this).collapse('show');
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||||
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||||
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||||
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|
||||
|
||||
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|
||||
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||||
|
||||
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|
||||
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||||
if (show)
|
||||
div.addClass('in');
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||||
var id = 'rcode-643E0F36' + currentIndex++;
|
||||
div.attr('id', id);
|
||||
$(this).before(div);
|
||||
$(this).detach().appendTo(div);
|
||||
|
||||
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|
||||
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|
||||
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showCodeButton
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
buttonRow.append(buttonCol);
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||||
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||||
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||||
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||||
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||||
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||||
showCodeText.text('Code');
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||||
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||||
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||||
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||||
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|
||||
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||||
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|
||||
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|
@ -1,9 +0,0 @@
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
|
||||
// build and append the tab list item
|
||||
var a = $('<a role="tab" data-toggle="tab">' + headingText + '</a>');
|
||||
a.attr('href', '#' + id);
|
||||
a.attr('aria-controls', id);
|
||||
var li = $('<li role="presentation"></li>');
|
||||
li.append(a);
|
||||
if (i === 0)
|
||||
li.attr('class', 'active');
|
||||
tabList.append(li);
|
||||
|
||||
// set it's attributes
|
||||
tab.attr('role', 'tabpanel');
|
||||
tab.addClass('tab-pane');
|
||||
tab.addClass('tabbed-pane');
|
||||
if (fade)
|
||||
tab.addClass('fade');
|
||||
if (i === 0) {
|
||||
tab.addClass('active');
|
||||
if (fade)
|
||||
tab.addClass('in');
|
||||
}
|
||||
|
||||
// move it into the tab content div
|
||||
tab.detach().appendTo(tabContent);
|
||||
});
|
||||
}
|
||||
|
||||
// convert section divs with the .tabset class to tabsets
|
||||
var tabsets = $("div.section.tabset");
|
||||
tabsets.each(function(i) {
|
||||
buildTabset($(tabsets[i]));
|
||||
});
|
||||
};
|
||||
|
||||
Binary file not shown.
|
Before Width: | Height: | Size: 36 KiB |
|
|
@ -1,33 +0,0 @@
|
|||
---
|
||||
title: "About R Markdown"
|
||||
output: html_document
|
||||
---
|
||||
|
||||
<style type="text/css">
|
||||
.title {
|
||||
display: none;
|
||||
}
|
||||
|
||||
#getting-started img {
|
||||
margin-right: 10px;
|
||||
}
|
||||
|
||||
</style>
|
||||
|
||||
<div class="row" style="padding-top: 30px;">
|
||||
<div class="col-sm-6">
|
||||
|
||||
# **R Markdown**
|
||||
|
||||
### *Dynamic Documents for R* {style="padding-top: 0px;"}
|
||||
|
||||
R Markdown is an authoring format that enables easy creation of dynamic documents, presentations, and reports from R. It combines the core syntax of [markdown](https://daringfireball.net/projects/markdown/) (an easy to write plain text format) with embedded R code chunks that are run so their output can be included in the final document.
|
||||
|
||||
R Markdown documents are fully reproducible (they can be automatically regenerated whenever underlying R code or data changes).
|
||||
|
||||
R Markdown has many available output formats including [HTML](http://rmarkdown.rstudio.com/html_document_format.html), [PDF](http://rmarkdown.rstudio.com/pdf_document_format.html), [MS Word](http://rmarkdown.rstudio.com/word_document_format.html), [Beamer](http://rmarkdown.rstudio.com/beamer_presentation_format.html), [HTML5 slides](http://rmarkdown.rstudio.com/ioslides_presentation_format.html), [Tufte handouts](http://rmarkdown.rstudio.com/tufte_handout_format.html), [books](https://bookdown.org), [dashboards](http://rmarkdown.rstudio.com/flexdashboard/), and [websites](http://rmarkdown.rstudio.com/rmarkdown_websites.html).
|
||||
|
||||
</div>
|
||||
<div class="col-sm-6">
|
||||
|
||||
|
||||
|
|
@ -1,15 +0,0 @@
|
|||
Version: 1.0
|
||||
|
||||
RestoreWorkspace: Default
|
||||
SaveWorkspace: Default
|
||||
AlwaysSaveHistory: Default
|
||||
|
||||
EnableCodeIndexing: Yes
|
||||
UseSpacesForTab: Yes
|
||||
NumSpacesForTab: 2
|
||||
Encoding: UTF-8
|
||||
|
||||
RnwWeave: knitr
|
||||
LaTeX: pdfLaTeX
|
||||
|
||||
BuildType: Website
|
||||
|
|
@ -1,19 +0,0 @@
|
|||
---
|
||||
title: "Interactive Map"
|
||||
output: html_document
|
||||
---
|
||||
|
||||
```{r include = FALSE}
|
||||
library(leaflet)
|
||||
library(dplyr)
|
||||
```
|
||||
|
||||
Use the leaflet map below to explore the actual Maunga Whau volcano in Auckland, NZ.
|
||||
|
||||
```{r}
|
||||
leaflet() %>%
|
||||
setView(lng=174.764, lat=-36.877, zoom = 16) %>%
|
||||
addTiles() %>%
|
||||
addMarkers(lng=174.764, lat=-36.877, popup="Maunga Whau")
|
||||
```
|
||||
|
||||
|
|
@ -1,38 +0,0 @@
|
|||
---
|
||||
title: "Shiny Web App"
|
||||
output: html_document
|
||||
runtime: shiny
|
||||
---
|
||||
|
||||
```{r include = FALSE}
|
||||
library(shiny)
|
||||
library(viridis)
|
||||
```
|
||||
|
||||
You've seen the Maunga Whau volcano displayed in a variety of colors. Now pick your favorite.
|
||||
|
||||
```{r echo = FALSE}
|
||||
selectInput("colors", "Choose a color palette",
|
||||
choices = c("viridis", "magma", "inferno", "plasma", "heat",
|
||||
"terrain", "topographic", "cyan/magenta", "rainbow"))
|
||||
|
||||
colorPalette <- reactive({
|
||||
switch(input$colors,
|
||||
"viridis" = viridis(200),
|
||||
"magma" = viridis(200, option = "A"),
|
||||
"inferno" = viridis(200, option = "B"),
|
||||
"plasma" = viridis(200, option = "C"),
|
||||
"heat" = heat.colors(200),
|
||||
"terrain" = terrain.colors(200),
|
||||
"topographic" = topo.colors(200),
|
||||
"cyan/magenta" = cm.colors(200),
|
||||
"rainbow" = rainbow(200))
|
||||
})
|
||||
|
||||
renderPlot({
|
||||
image(volcano, col = colorPalette())
|
||||
})
|
||||
```
|
||||
|
||||
|
||||
|
||||
|
|
@ -1,21 +0,0 @@
|
|||
---
|
||||
title: "More colors"
|
||||
output: html_document
|
||||
---
|
||||
|
||||
```{r include = FALSE}
|
||||
|
||||
# colorFunc <- "heat.colors"
|
||||
colorFunc <- "terrain.colors"
|
||||
# colorFunc <- "topo.colors"
|
||||
# colorFunc <- "cm.colors"
|
||||
# colorFunc <- "rainbow"
|
||||
```
|
||||
|
||||
Base R comes with many functions for generating colors. The code below demonstrates the `r colorFunc` function.
|
||||
|
||||
## `r colorFunc`
|
||||
|
||||
```{r fig.cap = "The Maunga Whau volcano.", echo = FALSE}
|
||||
image(volcano, col = get(colorFunc)(200))
|
||||
```
|
||||
|
|
@ -1,20 +0,0 @@
|
|||
---
|
||||
title: "Visualizing the ocean floor"
|
||||
output: html_document
|
||||
params:
|
||||
data: "hawaii"
|
||||
---
|
||||
|
||||
```{r include = FALSE}
|
||||
library(marmap)
|
||||
library(ggplot2)
|
||||
```
|
||||
|
||||
The [marmap](https://cran.r-project.org/web/packages/marmap/index.html)
|
||||
package provides tools and data for visualizing the ocean floor. Here
|
||||
is an example contour plot of marmap's ``r params$data`` dataset.
|
||||
|
||||
```{r echo = FALSE}
|
||||
autoplot(get(params$data))
|
||||
```
|
||||
|
||||
|
|
@ -1,12 +0,0 @@
|
|||
By default, R Markdown displays data frame and matrix output as it would appear at the command line:
|
||||
|
||||
```{r echo = FALSE}
|
||||
mtcars[1:5, ]
|
||||
```
|
||||
|
||||
Format the output as a table with knitr's `kable` function:
|
||||
|
||||
```{r echo = FALSE}
|
||||
library(knitr)
|
||||
kable(mtcars[1:5, ], caption = "A knitr kable.")
|
||||
```
|
||||
|
|
@ -2,9 +2,7 @@
|
|||
|
||||
## Introduction
|
||||
|
||||
So far you've seen R Markdown used to produce long-format HTML documents. But there are many other types of output that you can make. This chapter gives a brief overview of some of the most important alternate formats. Even more are available in add-on packages, some of which are listed at <http://rmarkdown.rstudio.com/formats.html> (or will be by the time the book is published).
|
||||
|
||||
There are two ways to set the output of a document:
|
||||
So far you've seen R Markdown used it to produce HTML documents. This chapter gives a brief overview of some of the many other types of output you can produce with R Markdown. There are two ways to set the output of a document:
|
||||
|
||||
1. Permanently, by modifying the the YAML header:
|
||||
|
||||
|
|
@ -16,7 +14,7 @@ There are two ways to set the output of a document:
|
|||
1. Transiently, by calling `rmarkdown::render()` by hand:
|
||||
|
||||
```{r eval = FALSE}
|
||||
rmarkdown::render("1-example.Rmd", output_format = "word_document")
|
||||
rmarkdown::render("diamond-sizes.Rmd", output_format = "word_document")
|
||||
```
|
||||
|
||||
This is useful if you want to programmatically produce multiple types of
|
||||
|
|
@ -24,29 +22,15 @@ There are two ways to set the output of a document:
|
|||
|
||||
RStudio's knit button renders a file to the first format listed in its `output` field. You can render to additional formats by clicking the dropdown menu beside the knit button.
|
||||
|
||||
```{r, echo = FALSE, out.width = "70%"}
|
||||
knitr::include_graphics("images/outputs-2-pdf.png")
|
||||
```{r, echo = FALSE, out.width = NULL}
|
||||
knitr::include_graphics("screenshots/rmarkdown-knit.png")
|
||||
```
|
||||
|
||||
This chapter will give you a broad overview of some of the output options,
|
||||
|
||||
### Prerequisites
|
||||
|
||||
Again, the only package you need for this chapter is rmarkdown, which RStudio will install and load for you as needed.
|
||||
|
||||
## Output options
|
||||
|
||||
Each output format is an R function. If you don't specify a package, the default is assumed to be `rmarkdown`. That means you can get help about the parameters to the format with, e.g., `?rmarkdown:html_document()`
|
||||
|
||||
You can customize a format, pass arguments to the output function as sub-values of the `output` field. For example, we can change [1-example.Rmd](http://github.com/hadley/r4ds/tree/master/rmarkdown-demos/1-example.Rmd) to render with a floating table of contents,
|
||||
Each output format is an R function. You can either write `foo` or `pkg::foo`. If you omit, `pkg` the default is assumed to be rmarkdown. It's important to know the name of the function that makes the output because that's where you get help. For example, to figure out what parameters you can set with `html_document`, look at `?rmarkdown:html_document()`
|
||||
|
||||
Change the default output from:
|
||||
|
||||
```yaml
|
||||
output: html_document
|
||||
```
|
||||
|
||||
To:
|
||||
To override the default parameter values, you need to use an expanded `output` field. For example, if you wanted to render an `html_document` with a floating table of contents, you'd use:
|
||||
|
||||
```yaml
|
||||
output:
|
||||
|
|
@ -55,7 +39,7 @@ output:
|
|||
toc_float: true
|
||||
```
|
||||
|
||||
You can even render to multiple outputs at one time:
|
||||
You can even render to multiple outputs by supplying a list of formats:
|
||||
|
||||
```yaml
|
||||
output:
|
||||
|
|
@ -71,9 +55,9 @@ Note the special syntax if you don't want to override any of the default options
|
|||
|
||||
The previous chapter focussed on the default `html_document` output. There are number of basic variations on that theme, generating different types of documents:
|
||||
|
||||
* `pdf_document` makes a PDF. That happens via LaTeX (another open
|
||||
source document layout system), which you'll need to install. RStudio will
|
||||
prompt you if you don't already have it.
|
||||
* `pdf_document` makes a PDF with LaTeX (an open source document layout
|
||||
system), which you'll need to install. RStudio will prompt you if you
|
||||
don't already have it.
|
||||
|
||||
* `word_document` for Microsoft Word documents (`.docx`).
|
||||
|
||||
|
|
@ -81,20 +65,20 @@ The previous chapter focussed on the default `html_document` output. There are n
|
|||
|
||||
* `rtf_document` for Rich Text Format (`.rtf`) documents.
|
||||
|
||||
* `md_document` for a Markdown document. This isn't typically useful by itself,
|
||||
but you can (for example), commit it to git and share on github.
|
||||
* `md_document` for a Markdown document. This isn't typically useful by
|
||||
itself, but you might use it if, for example, your corporate CMS or
|
||||
lab wiki uses markdown.
|
||||
|
||||
* `github_document`: this is a tailored version of `md_document`
|
||||
designed specifically for GitHub. It's useful if you want to check in
|
||||
a simple output document that
|
||||
designed for sharing on GitHub.
|
||||
|
||||
Remember, when generating a document to share with decision makes, you can turn off the default display of code by setting global options in the setup chunk:
|
||||
Remember, when generating a document to share with decision makers, you can turn off the default display of code by setting global options in the setup chunk:
|
||||
|
||||
```{r, eval = FALSE}
|
||||
knitr::opts_chunk$set(echo = FALSE)
|
||||
```
|
||||
|
||||
For `html_document` another option is to make the code chunks hidden by default, but visible with a click:
|
||||
For `html_document`s another option is to make the code chunks hidden by default, but visible with a click:
|
||||
|
||||
```yaml
|
||||
output:
|
||||
|
|
@ -104,18 +88,18 @@ output:
|
|||
|
||||
## Notebooks
|
||||
|
||||
Notebooks are a variation on documents. The rendered output of the HTML notebook, `html_notebook`, is very similar to the rendered output of the HTML document, `html_document`. The difference is in the purpose: a document is focussed on communicating with decisions makers, while a notebook is focussed on collaborating with other data scientists. The difference in goals leads to storing different things in the HTML output. Both HTML outputs will contain the fully rendered output, but the notebook also contains the full source code. That means you can use the `.nb.html` generated by the notebook in two ways:
|
||||
A notebooks, `html_notebook`, is a variation on a `html_document`. The rendered outputs are very similar, but the purpose is different. A document is focussed on communicating with decisions makers, while a notebook is focussed on collaborating with other data scientists. These different purposes lead to using the HTML output in different ways. Both HTML outputs will contain the fully rendered output, but the notebook also contains the full source code. That means you can use the `.nb.html` generated by the notebook in two ways:
|
||||
|
||||
1. You can view it in a web browser, and view the rendered output. Unlike
|
||||
the `html_document` this rendering always includes an embedded copy of
|
||||
1. You can view it in a web browser, and see the rendered output. Unlike
|
||||
`html_document`, this rendering always includes an embedded copy of
|
||||
the source code that generated it.
|
||||
|
||||
1. You can edit it in RStudio. When you open an `.nb.html` file, RStudio will
|
||||
automatically recreate `.Rmd` file that generated it. In the future, you
|
||||
will also be able contain supporting files (e.g. `.csv` data files), that
|
||||
will also be able include supporting files (e.g. `.csv` data files), that
|
||||
will be automatically extracted when needed.
|
||||
|
||||
Emailing `.nb.html` files is a simple way to share analyses with your colleagues. The main problem will then be integrating their changes with yours. If this starts to happen a lot, you will soon want to learn Git and Github because it makes collaboration much easier. As mentioned early, Git & GitHub is outside the scope of the book, but there's one tip that's useful if you're already using them: use both `html_notebook` and `github_document` outputs.
|
||||
Emailing `.nb.html` files is a simple way to share analyses with your colleagues. But things will get painful as soon as they want to make changes. If this starts to happen, it's a good time to learn Git and Github. Learning Git and GitHub is definitely painful at first, but the collaboration payoff is huge. As mentioned earlier, Git and GitHub are outside the scope of the book, but there's one tip that's useful if you're already using them: use both `html_notebook` and `github_document` outputs:
|
||||
|
||||
```yaml
|
||||
output:
|
||||
|
|
@ -123,7 +107,7 @@ output:
|
|||
github_document: default
|
||||
```
|
||||
|
||||
`html_notebook` gives you a local preview, and a file that you can share via email. `github_document` creates a minimal md file that is easily diffed, and that GitHub will render for you. Checking in the rendered results of a data analysis is good practice because it makes it very easy to see what has changed between runs of an analysis.
|
||||
`html_notebook` gives you a local preview, and a file that you can share via email. `github_document` creates a minimal md file that you can check into git. You can easily see how the results of your analysis (not just the code) change over time, and GitHub will render it for you nicely online.
|
||||
|
||||
## Presentations
|
||||
|
||||
|
|
@ -146,12 +130,6 @@ Two other popular formats are provided by packages:
|
|||
wrapper around the __shower__, <https://github.com/shower/shower>,
|
||||
presentation engine
|
||||
|
||||
Here is a version of 1-example.Rmd displayed as a reveal.js slide presentation.
|
||||
|
||||
```{r, echo = FALSE, out.width = "100%"}
|
||||
knitr::include_graphics("images/slides-1-viridis.png")
|
||||
```
|
||||
|
||||
## Dashboards
|
||||
|
||||
Dashboards are a useful way to communicate large amounts of information visually and quickly. Flexdashboard makes it particularly easy to create dashboards using R Markdown and a convention for how the headers affect the layout:
|
||||
|
|
@ -162,21 +140,21 @@ Dashboards are a useful way to communicate large amounts of information visually
|
|||
|
||||
For example, you can produce this dashboard:
|
||||
|
||||
```{r, echo = FALSE, out.width = NULL}
|
||||
```{r, echo = FALSE, out.width = "75%"}
|
||||
knitr::include_graphics("screenshots/rmarkdown-flexdashboard.png")
|
||||
```
|
||||
|
||||
Using this code:
|
||||
|
||||
```{r comment = "", echo = FALSE, out.width = "70%"}
|
||||
cat(readr::read_file("rmarkdown-demos/11-dashboard.Rmd"))
|
||||
```{r comment = "", echo = FALSE}
|
||||
cat(readr::read_file("rmarkdown/dashboard.Rmd"))
|
||||
```
|
||||
|
||||
Flexdashboard also provides simple tools for creating sidebars, tabsets, value boxes, and gauges. To learn more about flexdashboard visit <http://rmarkdown.rstudio.com/flexdashboard/>.
|
||||
|
||||
## Interactivity
|
||||
|
||||
Any HTML format (document, notebook, dashboard, or presentation), can contain interactive components.
|
||||
Any HTML format (document, notebook, presentation, or dashboard) can contain interactive components.
|
||||
|
||||
### htmlwidgets
|
||||
|
||||
|
|
@ -220,32 +198,35 @@ runtime: shiny
|
|||
|
||||
Then you can use the "input" functions to add interactive components to the document:
|
||||
|
||||
```{r, message = FALSE, collapse = FALSE}
|
||||
```{r, eval = FALSE}
|
||||
library(shiny)
|
||||
|
||||
textInput("name", "What is your name?")
|
||||
numericInput("age", "How old are you?", NA, min = 0, max = 150)
|
||||
```
|
||||
|
||||
You can then refer to them in your document as `input$name` and `input$age`, and the code that uses will be automatically re-run. This is a bit of simplification, but in essence, the job of shiny is to figure out the minimal amount of code that needs to be rerun when the inputs change.
|
||||
```{r, echo = FALSE, out.width = NULL}
|
||||
knitr::include_graphics("screenshots/rmarkdown-shiny.png")
|
||||
```
|
||||
You can then refer to the values with `input$name` and `input$age`, and the code that uses them will be automatically re-run whenever they change.
|
||||
|
||||
I can't show you a live shiny app here because shiny interations occur on the __server-side__. This means you can write interactive apps without knowing javascript, but it means that you need a server to run it on. This introduces a logistical issue: Shiny apps need a Shiny server to be run online. When you run shiny apps on your own computer, shiny automatically sets up a shiny server for you, but you need a public facing shiny server if you want to publish this sort of interactivity online. That's the fundamental trade-off of shiny: you can do anything in a shiny document that you can do in R, but it that requires someone to be running R.
|
||||
|
||||
Learn more about Shiny <http://shiny.rstudio.com/>.
|
||||
Learn more about Shiny at <http://shiny.rstudio.com/>.
|
||||
|
||||
## Websites
|
||||
|
||||
With a little additional infrastructure you can use R Markdown to generate a complete website. Once you have multiple document in a single directory, you can `rmarkdown::render_site()` to render them all simultaneously. A few other files provide additional control:
|
||||
With a little additional infrastructure you can use R Markdown to generate a complete website:
|
||||
|
||||
* a YAML file named `_site.yml` provides the navigation for the site, e.g.
|
||||
* Put your `.Rmd` files in a single directory. `index.Rmd` will become
|
||||
the home page.
|
||||
|
||||
* Add a YAML file named `_site.yml` provides the navigation for the site.
|
||||
For example:
|
||||
|
||||
```{r echo = FALSE, comment = ""}
|
||||
cat(readr::read_file("rmarkdown-demos/12-website/_site.yml"))
|
||||
cat(readr::read_file("rmarkdown/example-site.yml"))
|
||||
```
|
||||
|
||||
* a .Rmd file named `index.Rmd` provides the content for the home page of
|
||||
your website
|
||||
|
||||
Execute `rmarkdown::render_site()` to build `_site`, a directory of files ready to deploy as a standalone static website, or if you use an RStudio Project for your website directory. RStudio will add a Build tab to the IDE that you can use to build and preview your site.
|
||||
|
||||
Read more at <http://rmarkdown.rstudio.com/rmarkdown_websites.html>.
|
||||
|
|
@ -255,11 +236,11 @@ Read more at <http://rmarkdown.rstudio.com/rmarkdown_websites.html>.
|
|||
Other packages provide even more output formats:
|
||||
|
||||
* The __bookdown__ package, <https://github.com/rstudio/bookdown>,
|
||||
makes it easy to write books, like this one! To learn more, read
|
||||
makes it easy to write books, like this one. To learn more, read
|
||||
[_Authoring Books with R Markdown_](https://bookdown.org/yihui/bookdown/),
|
||||
by Yihui Xie, which is, of course, written in bookdown. Visit
|
||||
by Yihui Xie, which is, of course, written in bookdown, Visit
|
||||
<http://www.bookdown.org> to see other bookdown books written by the
|
||||
community.
|
||||
wider R community.
|
||||
|
||||
* The __prettydoc__ package, <https://github.com/yixuan/prettydoc/>,
|
||||
provides lightweight document formats with a range of attractive
|
||||
|
|
@ -272,7 +253,7 @@ See <http://rmarkdown.rstudio.com/formats.html> for a list of even more formats.
|
|||
|
||||
## Learning more
|
||||
|
||||
To learn more about communcating in these different formats I recommend:
|
||||
To learn more about effective communcation in these different formats I recommend the following resources:
|
||||
|
||||
* To improve your presentation skills, I recommend
|
||||
[_Presentation Patterns_](https://amzn.com/0321820800), by Neal Ford,
|
||||
|
|
@ -287,7 +268,12 @@ To learn more about communcating in these different formats I recommend:
|
|||
McGarrity's online course on public speaking:
|
||||
<https://www.coursera.org/learn/public-speaking>.
|
||||
|
||||
* Finally, effectively communicating your ideas often benefits from some
|
||||
* If you are creating a lot of dashboards, make sure to read Stephen Few's
|
||||
[Information Dashboard Design: The Effective Visual Communication
|
||||
of Data](https://amzn.com/0596100167). It will help you create dashboards
|
||||
that are truly useful, not just pretty to look at.
|
||||
|
||||
* Effectively communicating your ideas often benefits from some
|
||||
knowledge of graphic design. [_The Non-Designer's Design
|
||||
Book_](http://amzn.com/0133966151) is a great place to start.
|
||||
|
||||
|
|
|
|||
253
rmarkdown.Rmd
253
rmarkdown.Rmd
|
|
@ -1,8 +1,42 @@
|
|||
```{r include=FALSE, cache=FALSE}
|
||||
set.seed(1014)
|
||||
options(digits = 3)
|
||||
|
||||
knitr::opts_chunk$set(
|
||||
comment = "#>",
|
||||
collapse = TRUE,
|
||||
cache = TRUE,
|
||||
out.width = "70%",
|
||||
fig.align = 'center',
|
||||
fig.width = 6,
|
||||
fig.asp = 0.618, # 1 / phi
|
||||
fig.show = "hold"
|
||||
)
|
||||
|
||||
options(dplyr.print_min = 6, dplyr.print_max = 6)
|
||||
```
|
||||
```{r include=FALSE, cache=FALSE}
|
||||
set.seed(1014)
|
||||
options(digits = 3)
|
||||
|
||||
knitr::opts_chunk$set(
|
||||
comment = "#>",
|
||||
collapse = TRUE,
|
||||
cache = TRUE,
|
||||
out.width = "70%",
|
||||
fig.align = 'center',
|
||||
fig.width = 6,
|
||||
fig.asp = 0.618, # 1 / phi
|
||||
fig.show = "hold"
|
||||
)
|
||||
|
||||
options(dplyr.print_min = 6, dplyr.print_max = 6)
|
||||
```
|
||||
# R Markdown
|
||||
|
||||
## Introduction
|
||||
|
||||
R Markdown provides an unified authoring framework for data science, combining your code, its results, and your commentary in prose. R Markdown documents are fully reproducible and support dozens of output formats, like PDFs, Word files, slideshows, and more.
|
||||
R Markdown provides an unified authoring framework for data science, combining your code, its results, and your prose commentary. R Markdown documents are fully reproducible and support dozens of output formats, like PDFs, Word files, slideshows, and more.
|
||||
|
||||
R Markdown files are designed to be used in three ways:
|
||||
|
||||
|
|
@ -17,15 +51,13 @@ R Markdown files are designed to be used in three ways:
|
|||
notebook where you can capture not only what you did, but also what you
|
||||
were thinking.
|
||||
|
||||
Thanks to the design of R Markdown, you can use one file to achieve all of these goals simultaneously.
|
||||
|
||||
R Markdown integrates a number of R packages and external tools. This means that helps is, by-and-large, not available through `?`. Instead, as you work through chapter, and use R Markdown in the future, keep these resouces close to hand:
|
||||
|
||||
* R Markdown Cheat Sheet: *File > Help > Cheatsheets > R Markdown Cheat Sheet*,
|
||||
* R Markdown Reference Guide: *File > Help > Cheatsheets > R Markdown Reference Guide*.
|
||||
* Markdown Quick Reference: *File > Help > Markdown Quick Reference*.
|
||||
* R Markdown Cheat Sheet: _Help > Cheatsheets > R Markdown Cheat Sheet_,
|
||||
or from <http://rstudio.com/cheatsheets>.
|
||||
|
||||
You can also download these from <http://rstudio.com/cheatsheets>.
|
||||
* R Markdown Reference Guide: _Help > Cheatsheets > R Markdown Reference
|
||||
Guide_.
|
||||
|
||||
### Prerequisites
|
||||
|
||||
|
|
@ -41,7 +73,7 @@ inline <- function(x = "") paste0("`` `r ", x, "` ``")
|
|||
This is an R Markdown file, a plain text file that has the extension `.Rmd`:
|
||||
|
||||
```{r echo = FALSE, comment = ""}
|
||||
cat(htmltools::includeText("rmarkdown-demos/1-example.Rmd"))
|
||||
cat(htmltools::includeText("rmarkdown/diamond-sizes.Rmd"))
|
||||
```
|
||||
|
||||
It contains three important types of content:
|
||||
|
|
@ -50,21 +82,21 @@ It contains three important types of content:
|
|||
1. __Chunks__ of R code surrounded by ```` ``` ````.
|
||||
1. Text mixed with simple text formatting like `##` and .
|
||||
|
||||
When you open an `.Rmd` you get a notebook interface for R. You can run each code chunk by clicking the Run icon (it looks like a play button at the top of the chunk), or by pressing Cmd/Ctrl + Shift + Enter. RStudio executes the code and displays the results inline with your file.
|
||||
When you open an `.Rmd` you get a notebook interface where code and output are interleaved. You can run each code chunk by clicking the Run icon (it looks like a play button at the top of the chunk), or by pressing Cmd/Ctrl + Shift + Enter. RStudio executes the code and displays the results inline with the code:
|
||||
|
||||
```{r, echo = FALSE, out.width = "100%"}
|
||||
knitr::include_graphics("screenshots/rmarkdown-notebook.png")
|
||||
```{r, echo = FALSE, out.width = "75%"}
|
||||
knitr::include_graphics("rmarkdown/diamond-sizes-notebook.png")
|
||||
```
|
||||
|
||||
To produce a complete report containing all text, code, and results click "Knit" or press Cmd/Ctrl + Shift + K. You can also do programmatically with `rmarkdown::render("1-example.Rmd")`. For the `.Rmd` above, this creates:
|
||||
To produce a complete report containing all text, code, and results click "Knit" or press Cmd/Ctrl + Shift + K. You can also do programmatically with `rmarkdown::render("1-example.Rmd")`. This will display the report in the viewer pane, and create a self-contained HTML file that you can share with others.
|
||||
|
||||
```{r, echo = FALSE, out.width = "100%"}
|
||||
knitr::include_graphics("screenshots/rmarkdown-report.png")
|
||||
```{r, echo = FALSE, out.width = "75%"}
|
||||
knitr::include_graphics("rmarkdown/diamond-sizes-report.png")
|
||||
```
|
||||
|
||||
When you __knit__ the document R Markdown sends the .Rmd file to [knitr](http://yihui.name/knitr/), which executes all of the code chunks and creates a new markdown (.md) document which includes the code and its output. The markdown file generated by knitr is then processed by [pandoc](http://pandoc.org/) which is responsible for creating the finished format. The big advantage of this two step workflow is that you can create a very wide range of output formats, as you'll learn about in [R markdown formats]. Knitting is performed in a fresh instance of R which ensures that your reports are completely reproducible.
|
||||
When you __knit__ the document R Markdown sends the .Rmd file to __knitr__, http://yihui.name/knitr/, which executes all of the code chunks and creates a new markdown (.md) document which includes the code and its output. The markdown file generated by knitr is then processed by __pandoc__, <http://pandoc.org/>, which is responsible for creating the finished file. The advantage of this two step workflow is that you can create a very wide range of output formats, as you'll learn about in [R markdown formats].
|
||||
|
||||
```{r, echo = FALSE, out.width = "100%"}
|
||||
```{r, echo = FALSE, out.width = "75%"}
|
||||
knitr::include_graphics("images/RMarkdownFlow.png")
|
||||
```
|
||||
|
||||
|
|
@ -74,11 +106,11 @@ The following sections dives into the three components of an R Markdown document
|
|||
|
||||
### Exercises
|
||||
|
||||
1. Create a new notebook using File | New File | R Notebook. Read the
|
||||
1. Create a new notebook using _File > New File > R Notebook_. Read the
|
||||
instructions. Practice running the chunks. Verify that you can modify
|
||||
the code, re-run it, and see modified output.
|
||||
|
||||
1. Create a new R Markdown document with File | New File | R Markdown...
|
||||
1. Create a new R Markdown document with _File > New File > R Markdown..._
|
||||
Knit it by clicking the appropriate button. Knit it by using the
|
||||
appropriate keyboard short cut. Verify that you can modify the
|
||||
input and see the output update.
|
||||
|
|
@ -86,24 +118,23 @@ The following sections dives into the three components of an R Markdown document
|
|||
1. Compare and contrast the R notebook and R markdown files you created
|
||||
above. How are the outputs similar? How are they different? How are
|
||||
the inputs similar? How are they different? What happens if you
|
||||
copy the YAML heading from one to the other?
|
||||
copy the YAML header from one to the other?
|
||||
|
||||
1. Create one new R Markdown document for each of the three build in
|
||||
1. Create one new R Markdown document for each of the three built-in
|
||||
formats: HTML, PDF and word. Knit each of the three documents.
|
||||
How does the output differ? How does the input differ? (You may need
|
||||
to install MikTex in order to build the PDF output.)
|
||||
to install LaTeX in order to build the PDF output --- RStudio will
|
||||
prompt you if this is necessary.)
|
||||
|
||||
## Text formatting
|
||||
## Text formatting with Markdown
|
||||
|
||||
Prose in `.Rmd` files is written in Markdown, a light weight set of conventions for formatting plan text files. Markdown is designed to be easy to read and easy to write. It is also very easy to learn. The guide below shows how to use Pandoc's Markdown, a slightly extended version of Markdown that R Markdown understands.
|
||||
|
||||
The following code shows you the most important R Markdown commands:
|
||||
|
||||
```{r, echo = FALSE, comment = ""}
|
||||
cat(readr::read_file("rmarkdown-demos/markdown.Rmd"))
|
||||
cat(readr::read_file("rmarkdown/markdown.Rmd"))
|
||||
```
|
||||
|
||||
The best way to learn these is simply to try them out. It will take a few days, but soon they will become second nature, and you won't need to think about them.
|
||||
The best way to learn these is simply to try them out. It will take a few days, but soon they will become second nature, and you won't need to think about them. If you forget, you can get to a handy reference sheet with *Help > Markdown Quick Reference*.
|
||||
|
||||
### Exercises
|
||||
|
||||
|
|
@ -112,11 +143,16 @@ The best way to learn these is simply to try them out. It will take a few days,
|
|||
employment. Each of the sections should include a bulleted list of
|
||||
jobs/degrees. Highlight the year in bold.
|
||||
|
||||
1. Using the R Markdown cheatsheet, figure out how to:
|
||||
1. Using the R Markdown quick reference, figure out how to:
|
||||
|
||||
1. Add a footnote.
|
||||
1. Add a horizontal rule.
|
||||
1. Add a block quote.
|
||||
|
||||
1. Download `diamond-sizes.Rmd` from
|
||||
<https://github.com/hadley/r4ds/tree/master/rmarkdown>. Check that you
|
||||
can run it, then add text after the frequncy polygon that describes its
|
||||
most striking features.
|
||||
|
||||
## Code chunks
|
||||
|
||||
|
|
@ -130,9 +166,9 @@ To run code inside an R Markdown document, you need to insert a chunk. There are
|
|||
|
||||
Obviously, I'd recommend you learn the keyboard shortcut. It will save you a lot of time in the long run!
|
||||
|
||||
You can continue to run code using the keyboard shortcut that by now (I hope!) you know and love: Cmd/Ctrl + Enter. However, chunks get a new keyboard shortcut: Cmd/Ctrl + Shift + Enter. That's often more convenient because it runs the complete chunk, in even fewer keypresses than before.
|
||||
You can continue to run code using the keyboard shortcut that by now (I hope!) you know and love: Cmd/Ctrl + Enter. However, chunks get a new keyboard shortcut: Cmd/Ctrl + Shift + Enter, which runs all the code in the chunk. Think of a chunk like a function. A chunk should be relatively self-contained, and focussed around a single task.
|
||||
|
||||
Think of a chunk like a function. A chunk should be relatively self-contained, and focussed around a single task. You can iterate quickly in the script editor, and then run the whole thing with a single keyboard shortcut.
|
||||
The following sections describe the chunk header which consists of ```` ```{r ````, followed by an optional chunk name, followed by comma separated options, followed by ```` ``` ````.
|
||||
|
||||
### Chunk name
|
||||
|
||||
|
|
@ -148,41 +184,41 @@ Chunks can be given an optional name: ```` ```{r by-name} ````. This has three a
|
|||
1. Graphics produced by the chunks will have useful names that make
|
||||
them easier to use elsewhere. More on that in [other important options].
|
||||
|
||||
1. You can setup chains of cached chunks to avoid re-performing expensive
|
||||
1. You can set up networks of cached chunks to avoid re-performing expensive
|
||||
computations on every run. More on that below.
|
||||
|
||||
There is one chunk name that imbues special behaviour: `setup`. When you're in a notebook mode, the chunk named setup will be run automatically once before you run any other code.
|
||||
There is one chunk name that imbues special behaviour: `setup`. When you're in a notebook mode, the chunk named setup will be run automatically once, before anthoer other code is run.
|
||||
|
||||
### Chunk options
|
||||
|
||||
Chunk output can be customized with __options__, arguments supplied to chunk header. Knitr provides almost 60 options that you can use to customize your code chunks. Here we'll cover some of the most important chunk options that you're likely to need frequently. You can see the full list at <http://yihui.name/knitr/options/>.
|
||||
Chunk output can be customized with __options__, arguments supplied to chunk header. Knitr provides almost 60 options that you can use to customize your code chunks. Here we'll cover the most important chunk options that you'll use frequently. You can see the full list at <http://yihui.name/knitr/options/>.
|
||||
|
||||
The most important set of options controls if your code block is executed and what results are inserted in the finished report:
|
||||
|
||||
* `eval = FALSE` prevents code from being evaluated. (And obviously if the
|
||||
code is not run, no results will be generated). Useful for displaying
|
||||
example code, or for disabling a large block of code without commenting
|
||||
each line.
|
||||
code is not run, no results will be generated). This is useful for
|
||||
displaying example code, or for disabling a large block of code without
|
||||
commenting each line.
|
||||
|
||||
* `include = FALSE` runs the code, but doesn't show the code or results
|
||||
in the final document. Use this for setup code that you don't want
|
||||
cluttering your report.
|
||||
|
||||
* `echo = FALSE` prevents code, but not the results from appearing in the
|
||||
finished file. Use this to create reports which don't show the R
|
||||
code that generates them.
|
||||
finished file. Use this when writing reports aimed at people who don't
|
||||
want to see the underlying R code.
|
||||
|
||||
* `message = FALSE` and `warning = FALSE` prevents messages and warnings
|
||||
generated by code from appearing in the finished file.
|
||||
* `message = FALSE` or `warning = FALSE` prevents messages or warnings
|
||||
from appearing in the finished file.
|
||||
|
||||
* `results = 'hide'` hides printed output; `fig.show = 'hide'` hides
|
||||
plots.
|
||||
|
||||
* `error = TRUE` causes the render to continue even if code returns an error.
|
||||
This is rarely useful for data analysis reports, but it's useful for
|
||||
teaching so that you can illustrate important errors. The default,
|
||||
`error = FALSE` causes knitting to failure if there is a single error
|
||||
in the document.
|
||||
|
||||
* `results = 'hide'` hides printed output; `fig.show = 'hide'` hides
|
||||
plots.
|
||||
|
||||
The following table summarises the options:
|
||||
|
||||
|
|
@ -198,24 +234,22 @@ Option | Run code | Show code | Output | Plots | Messages | Warnings
|
|||
|
||||
### Table
|
||||
|
||||
By default, R Markdown displays data frames and matrixes as they would be in the R terminal (in a monospaced font):
|
||||
By default, R Markdown prints data frames and matrixes as you'd see them in the console:
|
||||
|
||||
```{r}
|
||||
mtcars[1:5, ]
|
||||
```
|
||||
|
||||
If you prefer that data be displayed with additional formatting you can use the `knitr::kable` function:
|
||||
If you prefer that data be displayed with additional formatting you can use the `knitr::kable` function. The code below generates Table \@ref(kable).
|
||||
|
||||
```{r}
|
||||
```{r kable}
|
||||
knitr::kable(
|
||||
mtcars[1:5, ],
|
||||
caption = "A knitr kable."
|
||||
)
|
||||
```
|
||||
|
||||
Read the documentation at `?knitr::kable` to see the other ways that you can customise the table.
|
||||
|
||||
If you'd like to customize your tables at a deeper level, consider the __xtable__, __stargazer__, __pander__, __tables__, and __ascii__ packages. Each provides a set of tools for returning formatted tables from R code.
|
||||
Read the documentation for `?knitr::kable` to see the other ways in which you can customise the table. For even deeper customisation, consider the __xtable__, __stargazer__, __pander__, __tables__, and __ascii__ packages. Each provides a set of tools for returning formatted tables from R code.
|
||||
|
||||
There are also a rich set of options for controlling how figures embedded. You'll learn about those in [saving your plots].
|
||||
|
||||
|
|
@ -223,14 +257,12 @@ There are also a rich set of options for controlling how figures embedded. You'l
|
|||
|
||||
Normally, each knit of a document starts from a completely clean slate. This is great for reproducibility, because it ensures that you've captured every important computation in code. However, it can be painful if you have some computations that take a long time. The solution is `cache = TRUE`. When set, this will save the output of the chunk to a speically named file on disk. On subsequent runs, knitr will check the to see if the code has changed, and if it hasn't, it will re-use the cached results.
|
||||
|
||||
The caching system must be used with care, because it is based on only the code itself, not its dependencies. For example, here the `processed_data` chunk depends on the `raw_data` chunk:
|
||||
The caching system must be used with care, because by default it is based on the code only, not its dependencies. For example, here the `processed_data` chunk depends on the `raw_data` chunk:
|
||||
|
||||
# chunk 1
|
||||
`r chunk`{r raw_data}
|
||||
rawdata <- readr::read_csv("a_very_large_file.csv")
|
||||
`r chunk`
|
||||
|
||||
# chunk 2
|
||||
`r chunk`{r processed_data, cached = TRUE}
|
||||
processed_data <- rawdata %>%
|
||||
filter(!is.na(import_var)) %>%
|
||||
|
|
@ -239,7 +271,6 @@ The caching system must be used with care, because it is based on only the code
|
|||
|
||||
Caching the `processed_data` chunk means that it will get re-run if the dplyr pipeline is changed, but it won't get rerun if the `read_csv()` call changes. You can avoid that problem with the `dependson` chunk option:
|
||||
|
||||
# chunk 2
|
||||
`r chunk`{r processed_data, cached = TRUE, dependson = "raw_data"}
|
||||
processed_data <- rawdata %>%
|
||||
filter(!is.na(import_var)) %>%
|
||||
|
|
@ -250,18 +281,17 @@ Caching the `processed_data` chunk means that it will get re-run if the dplyr pi
|
|||
|
||||
Note that the chunks won't update if `a_very_large_file.csv` changes, because knitr caching only tracks changes within the `.Rmd` file. If you want to also track changes to that file you can use the `cache.extra` option. This is an arbitrary R expression that will invalidate the cache whenever it changes. A good function to use is `file.info()`: it returns a bunch of information about the file including when it was last modified. Then you can write:
|
||||
|
||||
# chunk 1
|
||||
`r chunk`{r raw_data, cache.extra = file.info("a_very_large_file.csv")}
|
||||
rawdata <- readr::read_csv("a_very_large_file.csv")
|
||||
`r chunk`
|
||||
|
||||
As your caching strategies get progressively more complicated, it's good idea to regularly clear out all your caches with `knitr::clean_cache()`.
|
||||
|
||||
Note that I've used the advice of [David Robinson](https://twitter.com/drob/status/738786604731490304) for naming these chunks. It's a good idea to name chunks that create objects after the primary object that they create because that makes it easier to understand the `dependson` specification.
|
||||
I've used the advice of [David Robinson](https://twitter.com/drob/status/738786604731490304) to name these chunks: each chunked is named after the priamry object that it creates. This makes it easier to understand the `dependson` specification.
|
||||
|
||||
### Global options
|
||||
|
||||
As you work more with knitr, you will discover that some of the default chunk options don't fit with your workflow and you want to change them. You can do by calling `knitr::opts_chunk$set()` in a code chunk. For example, when writing books and tutorial I set:
|
||||
As you work more with knitr, you will discover that some of the default chunk options don't fit your needs and you want to change them. You can do by calling `knitr::opts_chunk$set()` in a code chunk. For example, when writing books and tutorials I set:
|
||||
|
||||
```{r, eval = FALSE}
|
||||
knitr::opts_chunk$set(
|
||||
|
|
@ -270,9 +300,7 @@ knitr::opts_chunk$set(
|
|||
)
|
||||
```
|
||||
|
||||
This uses my preferred comment formatting, and ensures that the code and output are kept closely entwined.
|
||||
|
||||
If you were preparing a report, you might set:
|
||||
This uses my preferred comment formatting, and ensures that the code and output are kept closely entwined. On the other hand, if you were preparing a report, you might set:
|
||||
|
||||
```{r eval = FALSE}
|
||||
knitr::opts_chunk$set(
|
||||
|
|
@ -280,18 +308,47 @@ knitr::opts_chunk$set(
|
|||
)
|
||||
```
|
||||
|
||||
That will hide the code by default, so only showing the chunks you deliberately choose to show (with `echo = TRUE`). You could consider setting `message = FALSE`, `warning = FALSE`, and `results = "hide"` too, but that would make it harder to debug problems because you wouldn't see any messages in the final document.
|
||||
That will hide the code by default, so only showing the chunks you deliberately choose to show (with `echo = TRUE`). You might consider setting `message = FALSE` and `warning = FALSE`, but that would make it harder to debug problems because you wouldn't see any messages in the final document.
|
||||
|
||||
### Inline code
|
||||
|
||||
There is one other way to embed R code into an R Markdown document: directly into the text, with: `r inline()`. This can be very useful if you want to reduce duplication in the text. For example, the following `.Rmd` uses `r inline("colorFunc")` in the text, making it easier to update if you switch to another colour palette:
|
||||
There is one other way to embed R code into an R Markdown document: directly into the text, with: `r inline()`. This can be very useful if you mention properties of your data in the text. For example, in the example document I used at the start of the chapter I had:
|
||||
|
||||
```{r echo = FALSE, comment = "", out.width = "100%"}
|
||||
cat(htmltools::includeText("rmarkdown-demos/1-example.Rmd"))
|
||||
knitr::include_graphics("images/inline-1-heat.png")
|
||||
> We have data about `r inline('nrow(diamonds)')` diamonds.
|
||||
> Only `r inline('nrow(diamonds) - nrow(smaller)')` are larger
|
||||
> than 2.5 carats. The distribution of the reminder is shown below:
|
||||
|
||||
When the report is knit, the results of those computations are inserted into the text:
|
||||
|
||||
> We have data about 53940 diamonds. Only 126 are larger than
|
||||
> 2.5 carats. The distribution of the reminder is shown below:
|
||||
|
||||
When inserting numbers into text, `format()` is your friend. It allows you to set the number of `digits` so you don't print to ridiculous degree of accuracy, and a `big.mark` to make numbers easier to read. I'll often combine these into a helper function:
|
||||
|
||||
```{r}
|
||||
comma <- function(x) format(x, digits = 2, big.mark = ",")
|
||||
comma(3452345)
|
||||
comma(.12358124331)
|
||||
```
|
||||
### Exercises
|
||||
|
||||
Inline expressions do not take knitr options. When processing inline code, R Markdown will always display the results of inline code, so that inline output is indistinguishable from the surrounding text.
|
||||
1. Add a section that explores how diamond sizes vary by cut, colour,
|
||||
and clarity. Assume you're writing a report for someone who doesn't know
|
||||
R, and instead of setting `echo = FALSE` on each chunk, set a global
|
||||
option.
|
||||
|
||||
1. Download `diamond-sizes.Rmd` from
|
||||
<https://github.com/hadley/r4ds/tree/master/rmarkdown>. Add a section
|
||||
that describes the largest 20 diamonds, including a table that displays
|
||||
their most important attributes.
|
||||
|
||||
1. Modify `diamonds-sizes.Rmd` to use `comma()` to produce nicely
|
||||
formatted output. Also include the percentage of diamonds that are
|
||||
larger than 2.5 carats.
|
||||
|
||||
1. Set up a network of chunks where `d` depends on `c` and `b`, and
|
||||
both `b` and `c` depend on `a`. Have each chunk print `lubridate::now()`,
|
||||
set `cache = TRUE`, then verify your understanding of caching.
|
||||
|
||||
## YAML header
|
||||
|
||||
|
|
@ -299,22 +356,17 @@ You can control many other "whole document" settings by tweaking the parameters
|
|||
|
||||
### Parameters
|
||||
|
||||
R Markdown documents can include one or more parameters whose values can be set when you render the report. Parameters are useful when you want to re-render the same report with distinct values for various key inputs, for example, to run:
|
||||
R Markdown documents can include one or more parameters whose values can be set when you render the report. Parameters are useful when you want to re-render the same report with distinct values for various key inputs. For example, you might be producing sales reports per branch, exam results by student, or demographic summaries by country. To declare one or more parameters, use the `params` field.
|
||||
|
||||
* A report specific to a department or geographic region.
|
||||
* A report that covers a specific period in time.
|
||||
* Multiple versions of a report for distinct sets of core assumptions.
|
||||
|
||||
To declare one or more parameters for your file, use the `params` field in the header. This example use a `data` parameter to determines which data set to plot:
|
||||
This example use a `my_class` parameter to determines which class of cars to display:
|
||||
|
||||
```{r, echo = FALSE, out.width = "100%", comment = ""}
|
||||
cat(readr::read_file("rmarkdown-demos/5-parameters.Rmd"))
|
||||
knitr::include_graphics("images/params-1-hawaii.png")
|
||||
cat(readr::read_file("rmarkdown/fuel-economy.Rmd"))
|
||||
```
|
||||
|
||||
Parameters are available within the knit environment as a read-only list named `params`. To access a parameter in code, call `params$<parameter name>`.
|
||||
As you can see, parameters are available within the code chunks as a read-only list named `params`.
|
||||
|
||||
You can write the atomic vectors directly into the YAML header. You can also run an arbitrary R expression by prefacing the parameter value with `!R`. This is a good way to use date and time data.
|
||||
You can write atomic vectors directly into the YAML header. You can also run arbitrary R expressions by prefacing the parameter value with `!R`. This is a good way to specify date/time parameters.
|
||||
|
||||
```yaml
|
||||
params:
|
||||
|
|
@ -322,18 +374,26 @@ params:
|
|||
snapshot: !r lubridate::ymd_hms("2015-01-01 12:30:00")
|
||||
```
|
||||
|
||||
In RStudio, you can click the "Knit with Parameters" option in the Knit dropdown menu to set parameters, render, and preview the report in a single user friendly step:
|
||||
|
||||
```{r, echo = FALSE, out.width = "100%"}
|
||||
knitr::include_graphics("images/params-3-florida.png")
|
||||
```
|
||||
|
||||
You can provide even more options in the header if you want to control exactly how that dialog appears. See <http://rmarkdown.rstudio.com/developer_parameterized_reports.html#parameter_user_interfaces> for more details.
|
||||
In RStudio, you can click the "Knit with Parameters" option in the Knit dropdown menu to set parameters, render, and preview the report in a single user friendly step. You can customise the dialog by setting other options in the header. See <http://rmarkdown.rstudio.com/developer_parameterized_reports.html#parameter_user_interfaces> for more details.
|
||||
|
||||
Alternatively, if you need to produce many such paramterised reports, you can call `rmarkdown::render()` with a list of `params`:
|
||||
|
||||
```{r eval = FALSE}
|
||||
rmarkdown::render("5-parameters.Rmd", params = list(data = "aleutians"))
|
||||
rmarkdown::render("fuel-economy.Rmd", params = list(my_class = "suv"))
|
||||
```
|
||||
|
||||
This is particularly powerful in conjunction with `purrr:pwalk()`. The following example creates a report for each value of `class` found in `mpg`.
|
||||
|
||||
```{r, eval = FALSE}
|
||||
reports <- tibble::tibble(
|
||||
class = unique(mpg$class),
|
||||
filename = stringr::str_c("fuel-economy-", class, ".html"),
|
||||
params = purrr::map(class, ~ list(my_class = .))
|
||||
)
|
||||
|
||||
reports %>%
|
||||
select(output_file = filename, params) %>%
|
||||
purrr::pwalk(rmarkdown::render, input = "fuel-economy.Rmd")
|
||||
```
|
||||
|
||||
### Bibliographies and Citations
|
||||
|
|
@ -344,30 +404,23 @@ Pandoc can automatically generate citations and a bibliography in a number of st
|
|||
bibliography: rmarkdown.bib
|
||||
```
|
||||
|
||||
You can many common bibliography foramts including BibLaTeX, BibTeX, endnote, medline.
|
||||
You can use many common bibliography foramts including BibLaTeX, BibTeX, endnote, medline.
|
||||
|
||||
To create a citation within your .Rmd file, use a key composed of ‘@’ + the citation identifier from the bibliography file. Then place the citation in square brackets. Here are some example citations from <rmarkdown.rstudio.com>:
|
||||
To create a citation within your .Rmd file, use a key composed of ‘@’ + the citation identifier from the bibliography file. Then place the citation in square brackets. Here are some example :
|
||||
|
||||
```markdown
|
||||
Separate multiple citations with a `;`: Blah blah [@smith04; @doe99].
|
||||
|
||||
You can add arbitrary comments inside the square brackets:
|
||||
Blah blah [see @doe99, pp. 33-35; also @smith04, ch. 1].
|
||||
|
||||
Blah blah [@doe99, pp. 33-35, 38-39 and *passim*].
|
||||
|
||||
Blah blah [@smith04; @doe99].
|
||||
|
||||
@smith04 says blah.
|
||||
|
||||
@smith04 [p. 33] says blah.
|
||||
Remove the square brackets to create an in-text citation: @smith04
|
||||
says blah, or @smith04 [p. 33] says blah.
|
||||
|
||||
Add a `-` before the citation to supress the author's name:
|
||||
Smith says blah [-@smith04].
|
||||
```
|
||||
|
||||
Notice that you can:
|
||||
|
||||
* Separate multiple citations with a `;`.
|
||||
* Remove the square brackets to create an in-text citation.
|
||||
* Add a `-` before the citation to supress the author's name.
|
||||
|
||||
When R Markdown renders your file, it will build and append a bibliography to the end of your document. The bibliography will contain each of the cited references from your bibiliography file, but it will not contain a section heading. As a result it is common practice to end your file with a section header for the bibliography, such as `# References` or `# Bibliography`.
|
||||
|
||||
You can change the style of your citations and bibliography by reference a CSL (citation style language) file to the `csl` field:
|
||||
|
|
@ -377,13 +430,13 @@ bibliography: rmarkdown.bib
|
|||
csl: apa.csl
|
||||
```
|
||||
|
||||
As with the bibliography field, your csl file should contain a path to the file. Here I assume that the csl file is in the same directory as the .Rmd file. <http://github.com/citation-style-language/styles> contains many useful CSL style files.
|
||||
As with the bibliography field, your csl file should contain a path to the file. Here I assume that the csl file is in the same directory as the .Rmd file. A good place to find CSL style files for common bibliography styles is <http://github.com/citation-style-language/styles>.
|
||||
|
||||
## Learning more
|
||||
|
||||
R Markdown is still relatively young, and is still growing rapidly. The best place to stay on top of innovations is the official R Markdown website: <http://rmarkdown.rstudio.com>.
|
||||
|
||||
There are two important topics that we haven't covered here: collaboration, and the details of accurately communicating your ideas to other humans. Collaboration is a vital part of modern data science, and you can make your life much easier by using version control tools, such as Git and Github. We recommend two free resources that will teach you about Git:
|
||||
There are two important topics that we haven't covered here: collaboration, and the details of accurately communicating your ideas to other humans. Collaboration is a vital part of modern data science, and you can make your life much easier by using version control tools, like Git and Github. We recommend two free resources that will teach you about Git:
|
||||
|
||||
1. "Happy Git with R": a user friendly introduction to Git and GitHub from
|
||||
R users, by Jenny Bryan. The book is freely available online:
|
||||
|
|
@ -392,5 +445,5 @@ There are two important topics that we haven't covered here: collaboration, and
|
|||
1. The "Git and GitHub" chapter of _R Packages_, by Hadley. You can also
|
||||
read it for free online: <http://r-pkgs.had.co.nz/git.html>.
|
||||
|
||||
I have also not touched about what you should actually write in the prose in order to clearly communicate the results of your analysis. To improve your writing, I highly recommend reading either [_Style: Lessons in Clarity and Grace_](https://amzn.com/0134080416), or [_The Sense of Structure: Writing from the Reader's Perspective_](https://amzn.com/0205296327) by George Gopen. Both books will help you understand the structure of sentences and paragraphs, and give you the tools to make your writing more clear. (These books are rather expensive if purchased new, but they're used by many English classes so there are plenty of cheap second-hand copies.) George Gopen also has a number of short articles on writing at <http://georgegopen.com/articles/litigation/>. They are aimed at lawyers, but almost everything applies to data scientists too.
|
||||
I have also not touched about what you should actually write in order to clearly communicate the results of your analysis. To improve your writing, I highly recommend reading either [_Style: Lessons in Clarity and Grace_](https://amzn.com/0134080416) by Joseph M. Williams & Joseph Bizup, or [_The Sense of Structure: Writing from the Reader's Perspective_](https://amzn.com/0205296327) by George Gopen. Both books will help you understand the structure of sentences and paragraphs, and give you the tools to make your writing more clear. (These books are rather expensive if purchased new, but they're used by many English classes so there are plenty of cheap second-hand copies.) George Gopen also has a number of short articles on writing at <http://georgegopen.com/articles/litigation/>. They are aimed at lawyers, but almost everything applies to data scientists too.
|
||||
|
||||
|
|
|
|||
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|
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|
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|
|
@ -0,0 +1,24 @@
|
|||
---
|
||||
title: "Diamond sizes"
|
||||
date: 2016-08-25
|
||||
output: html_document
|
||||
---
|
||||
|
||||
```{r setup, include = FALSE}
|
||||
library(ggplot2)
|
||||
library(dplyr)
|
||||
|
||||
smaller <- diamonds %>%
|
||||
filter(carat <= 2.5)
|
||||
```
|
||||
|
||||
We have data about `r nrow(diamonds)` diamonds. Only
|
||||
`r nrow(diamonds) - nrow(smaller)` are larger than
|
||||
2.5 carats. The distribution of the reminder is shown
|
||||
below:
|
||||
|
||||
```{r, echo = FALSE}
|
||||
smaller %>%
|
||||
ggplot(aes(carat)) +
|
||||
geom_freqpoly(binwidth = 0.01)
|
||||
```
|
||||
|
|
@ -0,0 +1,21 @@
|
|||
---
|
||||
output: html_document
|
||||
params:
|
||||
my_class: "suv"
|
||||
---
|
||||
|
||||
```{r setup, include = FALSE}
|
||||
library(ggplot2)
|
||||
library(dplyr)
|
||||
|
||||
class <- mpg %>% filter(class == params$my_class)
|
||||
```
|
||||
|
||||
# Fuel economy for `r params$my_class`s
|
||||
|
||||
```{r, message = FALSE}
|
||||
ggplot(class, aes(displ, hwy)) +
|
||||
geom_point() +
|
||||
geom_smooth(se = FALSE)
|
||||
```
|
||||
|
||||
|
|
@ -1,15 +1,10 @@
|
|||
Text formatting
|
||||
------------------------------------------------------------
|
||||
|
||||
*italic* _italic_
|
||||
|
||||
*italic* or _italic_
|
||||
**bold** __bold__
|
||||
|
||||
`code`
|
||||
|
||||
superscript^2^
|
||||
|
||||
subscript~2~
|
||||
superscript^2^ and subscript~2~
|
||||
|
||||
Headings
|
||||
------------------------------------------------------------
|
||||
|
|
@ -35,28 +30,14 @@ Lists
|
|||
|
||||
1. Item 2. The numbers are incremented automatically in the output.
|
||||
|
||||
1. Item 3
|
||||
|
||||
1. Item 3a
|
||||
|
||||
1. Item 3b
|
||||
|
||||
Links
|
||||
Links and images
|
||||
------------------------------------------------------------
|
||||
|
||||
<http://example.com>
|
||||
|
||||
[linked phrase](http://example.com)
|
||||
|
||||
Images
|
||||
------------------------------------------------------------
|
||||
|
||||
|
||||
```markdown
|
||||
|
||||
|
||||
|
||||
```
|
||||
|
||||
Tables
|
||||
------------------------------------------------------------
|
||||
|
|
@ -65,4 +46,3 @@ First Header | Second Header
|
|||
------------- | -------------
|
||||
Content Cell | Content Cell
|
||||
Content Cell | Content Cell
|
||||
Reference Style Links and Images
|
||||
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|
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|
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Loading…
Reference in New Issue