Summarise a categorial variable

Summarises frequencies and percentages for a categorical variable.

The function accepts an input from a dplyr pipe "%>%" and outputs the results as a tibble. eg. example_data %>% tab1(variable)

Usage

tab1(data, variable, dp = 1)

Arguments

data

The data frame or tibble

variable

The categorical variable you would like to summarise

dp

The number of decimal places for percentages (default=2)

Value

A tibble with frequencies and percentages

Examples

example_data <- dplyr::tibble(id = 1:100, group = sample(c("a", "b", "c", "d"),
                                                  size = 100, replace = TRUE))
example_data$group[sample(1:100, size = 10)] <- NA  # Replace 10 with missing
tab1(example_data, group)

#> # A tibble: 6 × 3
#>   Category Frequency Percent
#>   <chr>        <int> <chr>  
#> 1 a               26 26.0   
#> 2 c               26 26.0   
#> 3 b               20 20.0   
#> 4 d               18 18.0   
#> 5 NA              10 10.0   
#> 6 Total          100 100.0  
summary <- tab1(example_data, group) # Save summary statistics as a tibble.

#> # A tibble: 6 × 3
#>   Category Frequency Percent
#>   <chr>        <int> <chr>  
#> 1 a               26 26.0   
#> 2 c               26 26.0   
#> 3 b               20 20.0   
#> 4 d               18 18.0   
#> 5 NA              10 10.0   
#> 6 Total          100 100.0