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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/helpers-pattern.R
\name{starts_with}
\alias{starts_with}
\alias{ends_with}
\alias{contains}
\alias{matches}
\alias{num_range}
\title{Select variables that match a pattern}
\usage{
starts_with(match, ignore.case = TRUE, vars = NULL)
ends_with(match, ignore.case = TRUE, vars = NULL)
contains(match, ignore.case = TRUE, vars = NULL)
matches(match, ignore.case = TRUE, perl = FALSE, vars = NULL)
num_range(prefix, range, suffix = "", width = NULL, vars = NULL)
}
\arguments{
\item{match}{A character vector. If length > 1, the union of the
matches is taken.
For \code{starts_with()}, \code{ends_with()}, and \code{contains()} this is an exact
match. For \code{matches()} this is a regular expression, and can be a
stringr pattern.}
\item{ignore.case}{If \code{TRUE}, the default, ignores case when matching
names.}
\item{vars}{A character vector of variable names. If not supplied,
the variables are taken from the current selection context (as
established by functions like \code{select()} or \code{pivot_longer()}).}
\item{perl}{Should Perl-compatible regexps be used?}
\item{prefix, suffix}{A prefix/suffix added before/after the numeric range.}
\item{range}{A sequence of integers, like \code{1:5}.}
\item{width}{Optionally, the "width" of the numeric range. For example,
a range of 2 gives "01", a range of three "001", etc.}
}
\description{
These \link[=language]{selection helpers} match variables according
to a given pattern.
\itemize{
\item \code{\link[=starts_with]{starts_with()}}: Starts with an exact prefix.
\item \code{\link[=ends_with]{ends_with()}}: Ends with an exact suffix.
\item \code{\link[=contains]{contains()}}: Contains a literal string.
\item \code{\link[=matches]{matches()}}: Matches a regular expression.
\item \code{\link[=num_range]{num_range()}}: Matches a numerical range like x01, x02, x03.
}
}
\section{Examples}{
Selection helpers can be used in functions like \code{dplyr::select()}
or \code{tidyr::pivot_longer()}. Let's first attach the tidyverse:
\if{html}{\out{<div class="sourceCode r">}}\preformatted{library(tidyverse)
# For better printing
iris <- as_tibble(iris)
}\if{html}{\out{</div>}}
\code{starts_with()} selects all variables matching a prefix and
\code{ends_with()} matches a suffix:
\if{html}{\out{<div class="sourceCode r">}}\preformatted{iris \%>\% select(starts_with("Sepal"))
#> # A tibble: 150 x 2
#> Sepal.Length Sepal.Width
#> <dbl> <dbl>
#> 1 5.1 3.5
#> 2 4.9 3
#> 3 4.7 3.2
#> 4 4.6 3.1
#> # ... with 146 more rows
iris \%>\% select(ends_with("Width"))
#> # A tibble: 150 x 2
#> Sepal.Width Petal.Width
#> <dbl> <dbl>
#> 1 3.5 0.2
#> 2 3 0.2
#> 3 3.2 0.2
#> 4 3.1 0.2
#> # ... with 146 more rows
}\if{html}{\out{</div>}}
You can supply multiple prefixes or suffixes. Note how the order of
variables depends on the order of the suffixes and prefixes:
\if{html}{\out{<div class="sourceCode r">}}\preformatted{iris \%>\% select(starts_with(c("Petal", "Sepal")))
#> # A tibble: 150 x 4
#> Petal.Length Petal.Width Sepal.Length Sepal.Width
#> <dbl> <dbl> <dbl> <dbl>
#> 1 1.4 0.2 5.1 3.5
#> 2 1.4 0.2 4.9 3
#> 3 1.3 0.2 4.7 3.2
#> 4 1.5 0.2 4.6 3.1
#> # ... with 146 more rows
iris \%>\% select(ends_with(c("Width", "Length")))
#> # A tibble: 150 x 4
#> Sepal.Width Petal.Width Sepal.Length Petal.Length
#> <dbl> <dbl> <dbl> <dbl>
#> 1 3.5 0.2 5.1 1.4
#> 2 3 0.2 4.9 1.4
#> 3 3.2 0.2 4.7 1.3
#> 4 3.1 0.2 4.6 1.5
#> # ... with 146 more rows
}\if{html}{\out{</div>}}
\code{contains()} selects columns whose names contain a word:
\if{html}{\out{<div class="sourceCode r">}}\preformatted{iris \%>\% select(contains("al"))
#> # A tibble: 150 x 4
#> Sepal.Length Sepal.Width Petal.Length Petal.Width
#> <dbl> <dbl> <dbl> <dbl>
#> 1 5.1 3.5 1.4 0.2
#> 2 4.9 3 1.4 0.2
#> 3 4.7 3.2 1.3 0.2
#> 4 4.6 3.1 1.5 0.2
#> # ... with 146 more rows
}\if{html}{\out{</div>}}
\code{starts_with()}, \code{ends_with()}, and \code{contains()} do not use regular expressions. To select with a
regexp use \code{matches()}:
\if{html}{\out{<div class="sourceCode r">}}\preformatted{# [pt] is matched literally:
iris \%>\% select(contains("[pt]al"))
#> # A tibble: 150 x 0
# [pt] is interpreted as a regular expression
iris \%>\% select(matches("[pt]al"))
#> # A tibble: 150 x 4
#> Sepal.Length Sepal.Width Petal.Length Petal.Width
#> <dbl> <dbl> <dbl> <dbl>
#> 1 5.1 3.5 1.4 0.2
#> 2 4.9 3 1.4 0.2
#> 3 4.7 3.2 1.3 0.2
#> 4 4.6 3.1 1.5 0.2
#> # ... with 146 more rows
}\if{html}{\out{</div>}}
\code{starts_with()} selects all variables starting with a prefix. To
select a range, use \code{num_range()}. Compare:
\if{html}{\out{<div class="sourceCode r">}}\preformatted{billboard \%>\% select(starts_with("wk"))
#> # A tibble: 317 x 76
#> wk1 wk2 wk3 wk4 wk5 wk6 wk7 wk8 wk9 wk10 wk11 wk12 wk13
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 87 82 72 77 87 94 99 NA NA NA NA NA NA
#> 2 91 87 92 NA NA NA NA NA NA NA NA NA NA
#> 3 81 70 68 67 66 57 54 53 51 51 51 51 47
#> 4 76 76 72 69 67 65 55 59 62 61 61 59 61
#> # ... with 313 more rows, and 63 more variables: wk14 <dbl>, wk15 <dbl>,
#> # wk16 <dbl>, wk17 <dbl>, wk18 <dbl>, wk19 <dbl>, wk20 <dbl>, wk21 <dbl>, ...
billboard \%>\% select(num_range("wk", 10:15))
#> # A tibble: 317 x 6
#> wk10 wk11 wk12 wk13 wk14 wk15
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 NA NA NA NA NA NA
#> 2 NA NA NA NA NA NA
#> 3 51 51 51 47 44 38
#> 4 61 61 59 61 66 72
#> # ... with 313 more rows
}\if{html}{\out{</div>}}
}
\seealso{
The \link[=language]{selection language} page, which includes links to other selection helpers.
}
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