The goal of regexcite is to provide convenience functions to make some common tasks with string manipulation and regular expressions a bit easier. Imports: stringr
You can install the development version of regexcite from GitHub with:
# install.packages("devtools")
devtools::install_github("jpmckeown/regexcite")
This is a basic example which shows you how to solve a common problem:
## basic example code
(x <- "alfa,bravo,charlie,delta")
#> [1] "alfa,bravo,charlie,delta"
strsplit(x, split = ",")
#> [[1]]
#> [1] "alfa" "bravo" "charlie" "delta"
stringr::str_split(x, pattern = ",")
#> [[1]]
#> [1] "alfa" "bravo" "charlie" "delta"
Notice how the return value is a list of length one, where the first element holds the character vector of parts. Often the shape of this output is inconvenient, i.e. we want the un-listed version.
That’s exactly what regexcite::str_split_one()
does.
library(regexcite)
str_split_1(x, pattern = ",")
#> [1] "alfa" "bravo" "charlie" "delta"
Use str_split_one()
when the input is known to be a single string. For
safety, it will error if its input has length greater than one.
str_split_one()
is built on stringr::str_split()
, so you can use its
n
argument and stringr’s general interface for describing the
pattern
to be matched.
You’ll still need to render README.Rmd
regularly, to keep README.md
up-to-date. devtools::build_readme()
is handy for this. You could also
use GitHub Actions to re-render README.Rmd
every time you push. An
example workflow can be found here:
https://github.com/r-lib/actions/tree/v1/examples.
You can also embed plots, for example:
#> [1] "alfa" "bravo,charlie,delta"
#> [1] "192" "168" "0" "1"
In that case, don’t forget to commit and push the resulting figure files, so they display on GitHub and CRAN.
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