select: Select columns of a data frame

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Select columns of a data frame

Description

Select columns of a data frame by name, and rename or rearrange if needed.

Details

First argument: a data frame.

Next argument: name the variables you want to keep in the order you want them to be in. Alternatively, use - to name the variables you want to drop.

data %>% select(...)

select(data, ...)

See Also

Other dplyr verbs: filter(), group_by(), summarize(), mutate(), arrange()

Examples

# Select and rearrange 2 variables:

tibble(
  x = c(1, 2, 3),
  y = c(4, 5, 6),
  z = c(7, 8, 9)
) %>%
  select(z, x)

#> # A tibble: 3 x 2
#>       z     x
     <dbl> <dbl>
#>       7     1
#>       8     2
#>       9     3

-----------------------------------

# Drop a variable using '-':

tibble(
  x = c(1, 2, 3),
  y = c(4, 5, 6),
  z = c(7, 8, 9)
) %>%
  select(-z)

#> # A tibble: 3 x 2
#>     x     y
   <dbl> <dbl>
#>     1     4
#>     2     5
#>     3     6

-----------------------------------

# Rename a variable:

tibble(
  x = c(1, 2, 3),
  y = c(4, 5, 6),
  z = c(7, 8, 9)
) %>%
  select(low_numbers = x, y)

#> # A tibble: 3 x 2
#> low_numbers     y
         <dbl> <dbl>
#>           1     4
#>           2     5
#>           3     6

-----------------------------------

library(gapminder)

gapminder %>%
  select(country, year, gdpPercap)

#> # A tibble: 1,704 x 3
#>    country      year gdpPercap
      <fct>       <int>     <dbl>
#>  1 Afghanistan  1952      779.
#>  2 Afghanistan  1957      821.
#>  3 Afghanistan  1962      853.

cobriant/qelp documentation built on July 1, 2022, 7:24 a.m.