These functions allow you to select variables based on their names.
starts_with()
: starts with a prefix
ends_with()
: ends with a prefix
contains()
: contains a literal string
matches()
: matches a regular expression
num_range()
: a numerical range like x01, x02, x03.
one_of()
: variables in character vector.
everything()
: all variables.
current_vars() starts_with(match, ignore.case = TRUE, vars = current_vars()) ends_with(match, ignore.case = TRUE, vars = current_vars()) contains(match, ignore.case = TRUE, vars = current_vars()) matches(match, ignore.case = TRUE, vars = current_vars()) num_range(prefix, range, width = NULL, vars = current_vars()) one_of(..., vars = current_vars()) everything(vars = current_vars())
match | A string. |
---|---|
ignore.case | If |
vars | A character vector of variable names. When called from inside
|
prefix | A prefix that starts the numeric range. |
range | A sequence of integers, like |
width | Optionally, the "width" of the numeric range. For example, a range of 2 gives "01", a range of three "001", etc. |
... | One or more character vectors. |
An integer vector giving the position of the matched variables.
#> # A tibble: 150 x 2 #> Petal.Length Petal.Width #> <dbl> <dbl> #> 1 1.4 0.2 #> 2 1.4 0.2 #> 3 1.3 0.2 #> 4 1.5 0.2 #> 5 1.4 0.2 #> 6 1.7 0.4 #> 7 1.4 0.3 #> 8 1.5 0.2 #> 9 1.4 0.2 #> 10 1.5 0.1 #> # ... with 140 more rows#> # A tibble: 150 x 2 #> Sepal.Width Petal.Width #> <dbl> <dbl> #> 1 3.5 0.2 #> 2 3.0 0.2 #> 3 3.2 0.2 #> 4 3.1 0.2 #> 5 3.6 0.2 #> 6 3.9 0.4 #> 7 3.4 0.3 #> 8 3.4 0.2 #> 9 2.9 0.2 #> 10 3.1 0.1 #> # ... with 140 more rows#> # A tibble: 150 x 2 #> Petal.Length Petal.Width #> <dbl> <dbl> #> 1 1.4 0.2 #> 2 1.4 0.2 #> 3 1.3 0.2 #> 4 1.5 0.2 #> 5 1.4 0.2 #> 6 1.7 0.4 #> 7 1.4 0.3 #> 8 1.5 0.2 #> 9 1.4 0.2 #> 10 1.5 0.1 #> # ... with 140 more rows#> # 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 3.0 1.4 0.2 #> 3 4.7 3.2 1.3 0.2 #> 4 4.6 3.1 1.5 0.2 #> 5 5.0 3.6 1.4 0.2 #> 6 5.4 3.9 1.7 0.4 #> 7 4.6 3.4 1.4 0.3 #> 8 5.0 3.4 1.5 0.2 #> 9 4.4 2.9 1.4 0.2 #> 10 4.9 3.1 1.5 0.1 #> # ... with 140 more rows#> # A tibble: 150 x 2 #> Petal.Length Petal.Width #> <dbl> <dbl> #> 1 1.4 0.2 #> 2 1.4 0.2 #> 3 1.3 0.2 #> 4 1.5 0.2 #> 5 1.4 0.2 #> 6 1.7 0.4 #> 7 1.4 0.3 #> 8 1.5 0.2 #> 9 1.4 0.2 #> 10 1.5 0.1 #> # ... with 140 more rows#> # A tibble: 150 x 5 #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> <dbl> <dbl> <dbl> <dbl> <fctr> #> 1 5.1 3.5 1.4 0.2 setosa #> 2 4.9 3.0 1.4 0.2 setosa #> 3 4.7 3.2 1.3 0.2 setosa #> 4 4.6 3.1 1.5 0.2 setosa #> 5 5.0 3.6 1.4 0.2 setosa #> 6 5.4 3.9 1.7 0.4 setosa #> 7 4.6 3.4 1.4 0.3 setosa #> 8 5.0 3.4 1.5 0.2 setosa #> 9 4.4 2.9 1.4 0.2 setosa #> 10 4.9 3.1 1.5 0.1 setosa #> # ... with 140 more rows#> # A tibble: 150 x 2 #> Petal.Length Petal.Width #> <dbl> <dbl> #> 1 1.4 0.2 #> 2 1.4 0.2 #> 3 1.3 0.2 #> 4 1.5 0.2 #> 5 1.4 0.2 #> 6 1.7 0.4 #> 7 1.4 0.3 #> 8 1.5 0.2 #> 9 1.4 0.2 #> 10 1.5 0.1 #> # ... with 140 more rows