Lots of work on 3 general strategies

strings.Rmd

@@ -620,30 +620,4 @@ The are a bunch of other places you can use regular expressions outside of strin
     head(dir(pattern = "\\.Rmd$"))
     ```
 
-    (If you're more comfortable with "globs" like `*.Rmd`, you can convert them to regular expressions with `glob2rx()`):
-
-## Strategies
-
-Don't forget that you're in a programming language and you have other tools at your disposal.
-Instead of creating one complex regular expression, it's often easier to write a series of simpler regexps.
-If you get stuck trying to create a single regexp that solves your problem, take a step back and think if you could break the problem down into smaller pieces, solving each challenge before moving onto the next one.
-
-A regular expression is a program that must be written in a single string, and has no debugger, no built-in documentation.
-
-### Using multiple regular expressions
-
-When you have complex logical conditions (e.g. match `a` or `b` but not `c` unless `d`) it's often easier to combine multiple `str_detect()` calls with logical operators instead of trying to create a single regular expression.
-For example, here are two ways to find all words that don't contain any vowels:
-
-```{r}
-# Find all words containing at least one vowel, and negate
-no_vowels_1 <- !str_detect(words, "[aeiou]")
-# Find all words consisting only of consonants (non-vowels)
-no_vowels_2 <- str_detect(words, "^[^aeiou]+$")
-identical(no_vowels_1, no_vowels_2)
-```
-
-The results are identical, but I think the first approach is significantly easier to understand.
-If your regular expression gets overly complicated, try breaking it up into smaller pieces, giving each piece a name, and then combining the pieces with logical operations.
-
-### Repeated `str_replace()`
+    (If you're more comfortable with "globs" like `*.Rmd`, you can convert them to regular expressions with `glob2rx()`).