A round of edits for length (#1278)

* Move workflow section into Quarto chapter

* Delete removed chapter

* - Hide figures in exercises
- Change eval: false to fig-show: hide

* Remove

* Fix color scale, closes #1243

* Fix plot size

* Reduce image size + formatted excel discussion

* Shorten URLs where possible

* Fix text running off the page on PDF

* Address figure sizing issue

* Re-org removes the need for this reference

* Remove one plot to reduce redundancy

* Read thru

* Minor edits

* Add ggthemes
This commit is contained in:
Mine Cetinkaya-Rundel
2023-02-13 02:22:17 -05:00
committed by GitHub
parent be10801648
commit 18419626ed
12 changed files with 151 additions and 265 deletions

View File

@@ -49,10 +49,11 @@ library(tidyverse)
You only need to install a package once, but you need to load it every time you start a new session.
In addition to tidyverse, we will also use the **palmerpenguins** package, which includes the `penguins` dataset containing body measurements for penguins on three islands in the Palmer Archipelago.
In addition to tidyverse, we will also use the **palmerpenguins** package, which includes the `penguins` dataset containing body measurements for penguins on three islands in the Palmer Archipelago, and the ggthemes package, which offers a colorblind safe color palette.
```{r}
library(palmerpenguins)
library(ggthemes)
```
## First steps
@@ -128,7 +129,8 @@ ggplot(penguins, aes(x = flipper_length_mm, y = body_mass_g)) +
y = "Body mass (g)",
color = "Species",
shape = "Species"
)
) +
scale_color_colorblind()
```
### Creating a ggplot
@@ -323,6 +325,7 @@ Note that the legend is automatically updated to reflect the different shapes of
And finally, we can improve the labels of our plot using the `labs()` function in a new layer.
Some of the arguments to `labs()` might be self explanatory: `title` adds a title and `subtitle` adds a subtitle to the plot.
Other arguments match the aesthetic mappings, `x` is the x-axis label, `y` is the y-axis label, and `color` and `shape` define the label for the legend.
In addition, we can improve the color palette to be colorblind safe with the `scale_color_colorblind()` function from the ggthemes package.
```{r}
#| warning: false
@@ -345,11 +348,10 @@ ggplot(
labs(
title = "Body mass and flipper length",
subtitle = "Dimensions for Adelie, Chinstrap, and Gentoo Penguins",
x = "Flipper length (mm)",
y = "Body mass (g)",
color = "Species",
shape = "Species"
)
x = "Flipper length (mm)", y = "Body mass (g)",
color = "Species", shape = "Species"
) +
scale_color_colorblind()
```
We finally have a plot that perfectly matches our "ultimate goal"!