Deprecated mutate helpers

These helpers have been deprecated. Please use mutate_across.()

mutate_if.(.df, .predicate, .funs, ..., .by = NULL)

mutate_at.(.df, .vars, .funs, ..., .by = NULL)

mutate_all.(.df, .funs, ..., .by = NULL)

Arguments

.df	A data.frame or data.table
.predicate	predicate for mutate_if.() to use
.funs	Functions to pass. Can pass a list of functions.
...	Other arguments for the passed function
.by	Columns to group by
.vars	vector c() of bare column names for mutate_at.() to use

Examples

test_df <- data.table(
  x = c(1,1,1),
  y = c(2,2,2),
  z = c("a", "a", "b"))

test_df %>%
  mutate_across.(where(is.numeric), as.character)
#> # tidytable [3 × 3]
#>   x     y     z    
#>   <chr> <chr> <chr>
#> 1 1     2     a    
#> 2 1     2     a    
#> 3 1     2     b    

test_df %>%
  mutate_across.(c(x, y), ~ .x * 2)
#> # tidytable [3 × 3]
#>       x     y z    
#>   <dbl> <dbl> <chr>
#> 1     2     4 a    
#> 2     2     4 a    
#> 3     2     4 b    

test_df %>%
  mutate_across.(everything(), as.character)
#> # tidytable [3 × 3]
#>   x     y     z    
#>   <chr> <chr> <chr>
#> 1 1     2     a    
#> 2 1     2     a    
#> 3 1     2     b    

test_df %>%
  mutate_across.(c(x, y), list(new = ~ .x * 2,
                               another = ~ .x + 7))
#> # tidytable [3 × 7]
#>       x     y z     x_new y_new x_another y_another
#>   <dbl> <dbl> <chr> <dbl> <dbl>     <dbl>     <dbl>
#> 1     1     2 a         2     4         8         9
#> 2     1     2 a         2     4         8         9
#> 3     1     2 b         2     4         8         9