Function to quick encode vector or columns to a specific format.
as_numeric()
: Encode columns to numeric using
as.numeric()
.
as_integer()
: Encode columns to integer using
as.integer()
.
as_logical()
: Encode columns to logical using
as.logical()
.
as_character()
: Encode columns to character using
as.character()
.
as_factor()
: Encode columns to factor using
as.factor()
.
as_numeric(.data, ..., .keep = "all", .pull = FALSE) as_integer(.data, ..., .keep = "all", .pull = FALSE) as_logical(.data, ..., .keep = "all", .pull = FALSE) as_character(.data, ..., .keep = "all", .pull = FALSE) as_factor(.data, ..., .keep = "all", .pull = FALSE)
.data | A data frame or a vector. |
---|---|
... | < |
.keep | Allows you to control which columns from
|
.pull | Allows you to pull out the last column of the output. It is
useful in combination with |
An object of the same class of .data
with the variables in
...
encoded to the specified format.
Tiago Olivoto tiagoolivoto@gmail.com
#> Warning: package 'tibble' was built under R version 4.0.4#> #>#>#> #>df <- tibble(y = rnorm(5), x1 = c(1:5), x2 = c(TRUE, TRUE, FALSE, FALSE, FALSE), x3 = letters[1:5], x4 = as.factor(x3)) df#> # A tibble: 5 x 5 #> y x1 x2 x3 x4 #> <dbl> <int> <lgl> <chr> <fct> #> 1 1.25 1 TRUE a a #> 2 0.433 2 TRUE b b #> 3 -0.0765 3 FALSE c c #> 4 -0.139 4 FALSE d d #> 5 -0.241 5 FALSE e e# Convert y to integer as_integer(df, y)#> # A tibble: 5 x 5 #> y x1 x2 x3 x4 #> <int> <int> <lgl> <chr> <fct> #> 1 1 1 TRUE a a #> 2 0 2 TRUE b b #> 3 0 3 FALSE c c #> 4 0 4 FALSE d d #> 5 0 5 FALSE e eas_integer(df$y)#> [1] 1 0 0 0 0# convert x3 to factor as_factor(df, x3)#> # A tibble: 5 x 5 #> y x1 x2 x3 x4 #> <dbl> <int> <lgl> <fct> <fct> #> 1 1.25 1 TRUE a a #> 2 0.433 2 TRUE b b #> 3 -0.0765 3 FALSE c c #> 4 -0.139 4 FALSE d d #> 5 -0.241 5 FALSE e e#> # A tibble: 5 x 5 #> y x1 x2 x3 x4 #> <chr> <chr> <chr> <chr> <chr> #> 1 1.24779392896803 1 TRUE a a #> 2 0.432763432791496 2 TRUE b b #> 3 -0.0764867483287394 3 FALSE c c #> 4 -0.139495740422391 4 FALSE d d #> 5 -0.241223117185153 5 FALSE e e# Convert x2 to numeric and coerce to a vector as_numeric(df, x2, .keep = "used", .pull = TRUE)#> [1] 1 1 0 0 0# }