mutate: Mutate a data frame by adding variables

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Mutate a data frame by adding variables

Description

Adds new variables that may be combinations or transformations of existing variables.

Details

First argument: a data frame.

Next arguments: the new variables you'd like to add.

mutate(data, ...)

data %>% mutate(...)

See Also

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

Examples

# Define a new variable that's a
# combination of other variables:

tibble(x = c(1, 1, 2),
       y = c(1, 3, 0)) %>%
  mutate(z = 2*x + y)

#> # A tibble: 4 x 3
#>    x     y     z
  <dbl> <dbl> <dbl>
#>    1     1     3
#>    1     3     5
#>    2     0     4

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

library(gapminder)

gapminder %>%
  mutate(gdp_total = gdpPercap*pop)

#> # A tibble: 1,704 x 5
#>   country      year      pop gdpPercap    gdp_total
     <fct>       <int>    <int>     <dbl>        <dbl>
#> 1 Afghanistan  1952  8425333      779.  6567086330.
#> 2 Afghanistan  1957  9240934      821.  7585448670.
#> 3 Afghanistan  1962 10267083      853.  8758855797.

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