Some fixes for chapters regexps & factors (#1636)
* regexps.qmd: fix name of 'too_few' arg * regexps.qmd: fix typo * factors.qmd: update argument names to .f, .x, .y * factors.qmd: fix language
This commit is contained in:
		
				
					committed by
					
						 GitHub
						GitHub
					
				
			
			
				
	
			
			
			
						parent
						
							33e701227a
						
					
				
				
					commit
					f55997b961
				
			
							
								
								
									
										12
									
								
								factors.qmd
									
									
									
									
									
								
							
							
						
						
									
										12
									
								
								factors.qmd
									
									
									
									
									
								
							| @@ -177,9 +177,9 @@ It is hard to read this plot because there's no overall pattern. | |||||||
| We can improve it by reordering the levels of `relig` using `fct_reorder()`. | We can improve it by reordering the levels of `relig` using `fct_reorder()`. | ||||||
| `fct_reorder()` takes three arguments: | `fct_reorder()` takes three arguments: | ||||||
|  |  | ||||||
| -   `f`, the factor whose levels you want to modify. | -   `.f`, the factor whose levels you want to modify. | ||||||
| -   `x`, a numeric vector that you want to use to reorder the levels. | -   `.x`, a numeric vector that you want to use to reorder the levels. | ||||||
| -   Optionally, `fun`, a function that's used if there are multiple values of `x` for each value of `f`. The default value is `median`. | -   Optionally, `.fun`, a function that's used if there are multiple values of `.x` for each value of `.f`. The default value is `median`. | ||||||
|  |  | ||||||
| ```{r} | ```{r} | ||||||
| #| fig-alt: | | #| fig-alt: | | ||||||
| @@ -231,7 +231,7 @@ Reserve `fct_reorder()` for factors whose levels are arbitrarily ordered. | |||||||
|  |  | ||||||
| However, it does make sense to pull "Not applicable" to the front with the other special levels. | However, it does make sense to pull "Not applicable" to the front with the other special levels. | ||||||
| You can use `fct_relevel()`. | You can use `fct_relevel()`. | ||||||
| It takes a factor, `f`, and then any number of levels that you want to move to the front of the line. | It takes a factor, `.f`, and then any number of levels that you want to move to the front of the line. | ||||||
|  |  | ||||||
| ```{r} | ```{r} | ||||||
| #| fig-alt: | | #| fig-alt: | | ||||||
| @@ -247,7 +247,7 @@ ggplot(rincome_summary, aes(x = age, y = fct_relevel(rincome, "Not applicable")) | |||||||
| Why do you think the average age for "Not applicable" is so high? | Why do you think the average age for "Not applicable" is so high? | ||||||
|  |  | ||||||
| Another type of reordering is useful when you are coloring the lines on a plot. | Another type of reordering is useful when you are coloring the lines on a plot. | ||||||
| `fct_reorder2(f, x, y)` reorders the factor `f` by the `y` values associated with the largest `x` values. | `fct_reorder2(.f, .x, .y)` reorders the factor `.f` by the `.y` values associated with the largest `.x` values. | ||||||
| This makes the plot easier to read because the colors of the line at the far right of the plot will line up with the legend. | This makes the plot easier to read because the colors of the line at the far right of the plot will line up with the legend. | ||||||
|  |  | ||||||
| ```{r} | ```{r} | ||||||
| @@ -287,7 +287,7 @@ Combine it with `fct_rev()` if you want them in increasing frequency so that in | |||||||
|  |  | ||||||
| ```{r} | ```{r} | ||||||
| #| fig-alt: | | #| fig-alt: | | ||||||
| #|   A bar char of marital status ordered in from least to most common: | #|   A bar char of marital status ordered from least to most common: | ||||||
| #|   no answer (~0), separated (~1,000), widowed (~2,000), divorced  | #|   no answer (~0), separated (~1,000), widowed (~2,000), divorced  | ||||||
| #|   (~3,000), never married (~5,000), married (~10,000). | #|   (~3,000), never married (~5,000), married (~10,000). | ||||||
| gss_cat |> | gss_cat |> | ||||||
|   | |||||||
| @@ -265,7 +265,7 @@ df |> | |||||||
|   ) |   ) | ||||||
| ``` | ``` | ||||||
|  |  | ||||||
| If the match fails, you can use `too_short = "debug"` to figure out what went wrong, just like `separate_wider_delim()` and `separate_wider_position()`. | If the match fails, you can use `too_few = "debug"` to figure out what went wrong, just like `separate_wider_delim()` and `separate_wider_position()`. | ||||||
|  |  | ||||||
| ### Exercises | ### Exercises | ||||||
|  |  | ||||||
| @@ -336,7 +336,7 @@ That lets you avoid one layer of escaping: | |||||||
| str_view(x, r"{\\}") | str_view(x, r"{\\}") | ||||||
| ``` | ``` | ||||||
|  |  | ||||||
| If you're trying to match a literal `.`, `$`, `|`, `*`, `+`, `?`, `{`, `}`, `(`, `)`, there's an alternative to using a backslash escape: you can use a character class: `[.]`, `[$]`, `[|]`, \... | If you're trying to match a literal `.`, `$`, `|`, `*`, `+`, `?`, `{`, `}`, `(`, `)`, there's an alternative to using a backslash escape: you can use a character class: `[.]`, `[$]`, `[|]`, ... | ||||||
| all match the literal values. | all match the literal values. | ||||||
|  |  | ||||||
| ```{r} | ```{r} | ||||||
|   | |||||||
		Reference in New Issue
	
	Block a user