From 3530ce04d49b4e42c9e797d4a2f0dbab5f1e4763 Mon Sep 17 00:00:00 2001 From: Hadley Wickham Date: Wed, 8 Mar 2023 21:02:03 -0600 Subject: [PATCH] Reduce size (#1349) * Various fixes & changes to reduce size * Fix arrow issue * Hopefully eliminate 3 paragraphs from regexps * Make single diagram for new projects --- arrow.qmd | 3 +- base-R.qmd | 2 +- communicate.qmd | 2 -- diagrams/new-project.graffle | Bin 0 -> 522306 bytes diagrams/new-project.png | Bin 0 -> 697943 bytes factors.qmd | 7 ++-- intro.qmd | 3 +- regexps.qmd | 57 +++++++++++------------------- screenshots/rstudio-project-1.png | Bin 138519 -> 0 bytes screenshots/rstudio-project-2.png | Bin 84965 -> 0 bytes screenshots/rstudio-project-3.png | Bin 163413 -> 0 bytes whole-game.qmd | 4 +-- workflow-scripts.qmd | 13 +++---- 13 files changed, 33 insertions(+), 58 deletions(-) create mode 100644 diagrams/new-project.graffle create mode 100644 diagrams/new-project.png delete mode 100644 screenshots/rstudio-project-1.png delete mode 100644 screenshots/rstudio-project-2.png delete mode 100644 screenshots/rstudio-project-3.png diff --git a/arrow.qmd b/arrow.qmd index 3c02a03..0226ca9 100644 --- a/arrow.qmd +++ b/arrow.qmd @@ -107,7 +107,8 @@ For example, this code tells us the total number of checkouts per year: ```{r} #| cache: true seattle_csv |> - count(CheckoutYear, wt = Checkouts) |> + group_by(CheckoutYear) |> + summarise(Checkouts = sum(Checkouts)) |> arrange(CheckoutYear) |> collect() ``` diff --git a/base-R.qmd b/base-R.qmd index 029c353..cd625a6 100644 --- a/base-R.qmd +++ b/base-R.qmd @@ -518,9 +518,9 @@ Here's a quick example from the diamonds dataset: ```{r} #| dev: png +#| layout-ncol: 2 hist(diamonds$carat) - plot(diamonds$carat, diamonds$price) ``` diff --git a/communicate.qmd b/communicate.qmd index 9cbb780..59d6a24 100644 --- a/communicate.qmd +++ b/communicate.qmd @@ -32,7 +32,5 @@ Communication is the theme of the following three chapters: - In @sec-quarto-formats, you'll learn a little about the many other varieties of outputs you can produce using Quarto, including dashboards, websites, and books. -- We'll finish up with @sec-quarto-workflow, where you'll learn about the "analysis notebook" and how to systematically record your successes and failures so that you can learn from them. - These chapters focus mostly on the technical mechanics of communication, not the really hard problems of communicating your thoughts to other humans. 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Wm>m;oTyp{Vk$b5uRr12*{r>`##{vBS diff --git a/whole-game.qmd b/whole-game.qmd index 3115a2b..48257ee 100644 --- a/whole-game.qmd +++ b/whole-game.qmd @@ -40,6 +40,6 @@ Five chapters focus on the tools of data science: In @sec-data-import you'll learn the basics of getting `.csv` files into R. Nestled among these chapters are five other chapters that focus on your R workflow. -In @sec-workflow-basics, @sec-workflow-pipes, @sec-workflow-style, and @sec-workflow-scripts-projects you'll learn good workflow practices for writing and organizing your R code. +In @sec-workflow-basics, @sec-workflow-style, and @sec-workflow-scripts-projects you'll learn good workflow practices for writing and organizing your R code. These will set you up for success in the long run, as they'll give you the tools to stay organized when you tackle real projects. -Finally, @sec-workflow-getting-help will teach you how to get help to keep learning. +Finally, @sec-workflow-getting-help will teach you how to get help and keep learning. diff --git a/workflow-scripts.qmd b/workflow-scripts.qmd index 87758a9..0742524 100644 --- a/workflow-scripts.qmd +++ b/workflow-scripts.qmd @@ -264,12 +264,9 @@ Click File \> New Project, then follow the steps shown in @fig-new-project. #| label: fig-new-project #| echo: false #| fig-cap: > -#| Create a new project by following these three steps. -#| fig-subcap: -#| - First click New Directory. -#| - Then click New Project. -#| - Finally, fill in the directory (project) name, choose a good -#| subdirectory for its home and click Create Project. +#| To create new project: (top) first click New Directory, then (middle) +#| click New Project, then (bottom) fill in the directory (project) name, +#| choose a good subdirectory for its home and click Create Project. #| fig-alt: > #| Three screenshots of the New Project menu. In the first screenshot, #| the Create Project window is shown and New Directory is selected. @@ -279,9 +276,7 @@ Click File \> New Project, then follow the steps shown in @fig-new-project. #| the project is being created as subdirectory of the Desktop. #| out-width: ~ -knitr::include_graphics("screenshots/rstudio-project-1.png") -knitr::include_graphics("screenshots/rstudio-project-2.png") -knitr::include_graphics("screenshots/rstudio-project-3.png") +knitr::include_graphics("diagrams/new-project.png") ``` Call your project `r4ds` and think carefully about which subdirectory you put the project in.

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fct_recode(partyid, @@ -358,8 +359,7 @@ gss_cat |> "Other" = "Don't know", "Other" = "Other party" ) - ) |> - count(partyid) + ) ``` Use this technique with care: if you group together categories that are truly different you will end up with misleading results. @@ -396,8 +396,7 @@ Instead, we can use the `fct_lump_n()` to specify that we want exactly 10 groups ```{r} gss_cat |> mutate(relig = fct_lump_n(relig, n = 10)) |> - count(relig, sort = TRUE) |> - print(n = Inf) + count(relig, sort = TRUE) ``` Read the documentation to learn about `fct_lump_min()` and `fct_lump_prop()` which are useful in other cases. diff --git a/intro.qmd b/intro.qmd index a0c19f7..922a59d 100644 --- a/intro.qmd +++ b/intro.qmd @@ -329,9 +329,8 @@ It will continue to evolve in between reprints of the physical book. The source of the book is available at . The book is powered by [Quarto](https://quarto.org), which makes it easy to write books that combine text and executable code. -This book was built with: - ```{r} +#| eval: false #| echo: false #| results: asis diff --git a/regexps.qmd b/regexps.qmd index 9dc4cf6..12aa35b 100644 --- a/regexps.qmd +++ b/regexps.qmd @@ -51,7 +51,7 @@ str_view(fruit, "berry") ``` Letters and numbers match exactly and are called **literal characters**. -Most punctuation characters, like `.`, `+`, `*`, `[`, `],` and `?,` have special meanings[^regexps-2] and are called **meta-characters**. For example, `.` +Most punctuation characters, like `.`, `+`, `*`, `[`, `],` and `?`, have special meanings[^regexps-2] and are called **meta-characters**. For example, `.` will match any character[^regexps-3], so `"a."` will match any string that contains an "a" followed by another character : @@ -152,23 +152,20 @@ babynames |> geom_line() ``` -There are two functions that are closely related to `str_detect()`, namely `str_subset()` which returns just the strings that contain a match and `str_which()` which returns the indexes of strings that have a match: - -```{r} -str_subset(c("a", "b", "c"), "[aeiou]") -str_which(c("a", "b", "c"), "[aeiou]") -``` +There are two functions that are closely related to `str_detect()`: `str_subset()` and `str_which()`. +`str_subset()` returns a character vector containing only the strings that match. +`str_which()` returns an integer vector giving the positions of the strings that match. ### Count matches -The next step up in complexity from `str_detect()` is `str_count()`: rather than a simple true or false, it tells you how many matches there are in each string. +The next step up in complexity from `str_detect()` is `str_count()`: rather than a true or false, it tells you how many matches there are in each string. ```{r} x <- c("apple", "banana", "pear") str_count(x, "p") ``` -Note that each match starts at the end of the previous match; i.e. regex matches never overlap. +Note that each match starts at the end of the previous match, i.e. regex matches never overlap. For example, in `"abababa"`, how many times will the pattern `"aba"` match? Regular expressions say two, not three: @@ -222,7 +219,7 @@ x <- c("apple", "pear", "banana") str_replace_all(x, "[aeiou]", "-") ``` -`str_remove()` and `str_remove_all()` are handy shortcuts for `str_replace(x, pattern, "")`. +`str_remove()` and `str_remove_all()` are handy shortcuts for `str_replace(x, pattern, "")`: ```{r} x <- c("apple", "pear", "banana") @@ -303,13 +300,14 @@ They're not always the most evocative of their purpose, but it's very helpful to ### Escaping {#sec-regexp-escaping} -In order to match a literal `.`, you need an **escape** which tells the regular expression to match metacharacters literally. +In order to match a literal `.`, you need an **escape** which tells the regular expression to match metacharacters[^regexps-6] literally. Like strings, regexps use the backslash for escaping. -So, to match a `.`, you need the regexp `\.`. -Unfortunately this creates a problem. +So, to match a `.`, you need the regexp `\.`. Unfortunately this creates a problem. We use strings to represent regular expressions, and `\` is also used as an escape symbol in strings. So to create the regular expression `\.` we need the string `"\\."`, as the following example shows. +[^regexps-6]: The complete set of metacharacters is `.^$\|*+?{}[]()` + ```{r} # To create the regular expression \., we need to use \\. dot <- "\\." @@ -350,20 +348,17 @@ str_view(c("abc", "a.c", "a*c", "a c"), "a[.]c") str_view(c("abc", "a.c", "a*c", "a c"), ".[*]c") ``` -The full set of metacharacters is `.^$\|*+?{}[]()`. -In general, look at punctuation characters with suspicion; if your regular expression isn't matching what you think it should, check if you've used any of these characters. - ### Anchors By default, regular expressions will match any part of a string. -If you want to match at the start of end you need to **anchor** the regular expression using `^` to match the start of the string or `$` to match the end of the string: +If you want to match at the start of end you need to **anchor** the regular expression using `^` to match the start or `$` to match the end: ```{r} str_view(fruit, "^a") str_view(fruit, "a$") ``` -It's tempting to think that `$` should match the start of a string, because that's how we write dollar amounts, but it's not what regular expressions want. +It's tempting to think that `$` should match the start of a string, because that's how we write dollar amounts, but that's not what regular expressions want. To force a regular expression to match only the full string, anchor it with both `^` and `$`: @@ -398,7 +393,7 @@ str_replace_all("abc", c("$", "^", "\\b"), "--") A **character class**, or character **set**, allows you to match any character in a set. As we discussed above, you can construct your own sets with `[]`, where `[abc]` matches "a", "b", or "c" and `[^abc]` matches any character except "a", "b", or "c". -Apart from `^` there are two ther characters that have special meaning inside of `[]:` +Apart from `^` there are two other characters that have special meaning inside of `[]:` - `-` defines a range, e.g. `[a-z]` matches any lower case letter and `[0-9]` matches any number. - `\` escapes special characters, so `[\^\-\]]` matches `^`, `-`, or `]`. @@ -419,9 +414,9 @@ str_view("a-b-c", "[a\\-c]") Some character classes are used so commonly that they get their own shortcut. You've already seen `.`, which matches any character apart from a newline. -There are three other particularly useful pairs[^regexps-6]: +There are three other particularly useful pairs[^regexps-7]: -[^regexps-6]: Remember, to create a regular expression containing `\d` or `\s`, you'll need to escape the `\` for the string, so you'll type `"\\d"` or `"\\s"`. +[^regexps-7]: Remember, to create a regular expression containing `\d` or `\s`, you'll need to escape the `\` for the string, so you'll type `"\\d"` or `"\\s"`. - `\d` matches any digit;\ `\D` matches anything that isn't a digit. @@ -453,18 +448,6 @@ You can also specify the number of matches precisely with `{}`: - `{n,}` matches at least n times. - `{n,m}` matches between n and m times. -The following code shows how this works for a few simple examples: - -```{r} -x <- "-- -x- -xx- -xxx- -xxxx- -xxxxx-" -str_view(x, "-x?-") # [0, 1] -str_view(x, "-x+-") # [1, Inf) -str_view(x, "-x*-") # [0, Inf) -str_view(x, "-x{2}-") # [2. 2] -str_view(x, "-x{2,}-") # [2, Inf) -str_view(x, "-x{2,3}-") # [2, 3] -``` - ### Operator precedence and parentheses What does `ab+` match? @@ -506,9 +489,9 @@ sentences |> ``` If you want extract the matches for each group you can use `str_match()`. -But `str_match()` returns a matrix, so it's not particularly easy to work with[^regexps-7]: +But `str_match()` returns a matrix, so it's not particularly easy to work with[^regexps-8]: -[^regexps-7]: Mostly because we never discuss matrices in this book! +[^regexps-8]: Mostly because we never discuss matrices in this book! ```{r} sentences |> @@ -610,9 +593,9 @@ If you're doing a lot of work with multiline strings (i.e. strings that contain Finally, if you're writing a complicated regular expression and you're worried you might not understand it in the future, you might try `comments = TRUE`. It tweaks the pattern language to ignore spaces and new lines, as well as everything after `#`. -This allows you to use comments and whitespace to make complex regular expressions more understandable[^regexps-8], as in the following example: +This allows you to use comments and whitespace to make complex regular expressions more understandable[^regexps-9], as in the following example: -[^regexps-8]: `comments = TRUE` is particularly effective in combination with a raw string, as we use here. +[^regexps-9]: `comments = TRUE` is particularly effective in combination with a raw string, as we use here. ```{r} phone <- regex( diff --git a/screenshots/rstudio-project-1.png b/screenshots/rstudio-project-1.png deleted file mode 100644 index 2f4350aa7c6428bbe04beafaf90c7362e8db21b1..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 138519 zcmeEug_R7y%=laS@iy$N7BSJwzA&ZH=k%NMQ1wlbQdJO*MEz1a1tL=QSlS@OBRy&gsuHn*k5A!$e8XddYaztrWMO&AgjeAn 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