stringr 1.1.0
I’m pleased to announce version 1.1.0 of stringr. stringr makes string manipulation easier by using consistent function and argument names, and eliminating options that you don’t need 95% of the time. To get started with stringr, check out the strings chapter in R for data science. Install it with:
install.packages("stringr")
This release is mostly bug fixes, but there are a couple of new features you might care out.
- There are three new datasets,
fruit,wordsandsentences, to help you practice your regular expression skills:
str_subset(fruit, "(..)\\1")
#> [1] "banana" "coconut" "cucumber" "jujube" "papaya"
#> [6] "salal berry"
head(words)
#> [1] "a" "able" "about" "absolute" "accept" "account"
sentences[1]
#> [1] "The birch canoe slid on the smooth planks."
- More functions work with
boundary():str_detect()andstr_subset()can detect boundaries, andstr_extract()andstr_extract_all()pull out the components between boundaries. This is particularly useful if you want to extract logical constructs like words or sentences.
x <- "This is harder than you might expect, e.g. punctuation!"
x %>% str_extract_all(boundary("word")) %>% .[[1]]
#> [1] "This" "is" "harder" "than" "you"
#> [6] "might" "expect" "e.g" "punctuation"
x %>% str_extract(boundary("sentence"))
#> [1] "This is harder than you might expect, e.g. punctuation!"
str_view()andstr_view_all()create HTML widgets that display regular expression matches. This is particularly useful for teaching.
For a complete list of changes, please see the release notes.
