We’ll start by loading dplyr:
library(tabulate)
#>
#> Attaching package: 'tabulate'
#> The following object is masked from 'package:base':
#>
#> tabulatetabulate()
The most important function of this package is tabulate(): it takes a dataframe and calculates the frequencies or mean of columns. The results can be grouped by any other column and also calculated with another subsample.
tabulate(data = iris,cols = Species)
#> # A tibble: 3 × 6
#> weight variable value n base pct
#> <chr> <chr> <chr> <dbl> <dbl> <dbl>
#> 1 unweighted Species setosa 50 150 0.333
#> 2 unweighted Species versicolor 50 150 0.333
#> 3 unweighted Species virginica 50 150 0.333
tabulate(data = iris,cols = Sepal.Length, return_mean = TRUE)
#> # A tibble: 1 × 7
#> weight variable value n base mean stdev
#> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 unweighted Sepal.Length numeric 150 150 5.84 0.828