Frequency table for a categorical variable

Returns n (%) per category and group. The denominator is the number of distinct subjects in each group. A zero count prints as "0".

Usage

stat_freq(
  df,
  var,
  trt_var,
  label = var,
  id_var = "USUBJID",
  digits = 1L,
  total = TRUE,
  total_label = "Total",
  levels_order = NULL
)

Arguments

df

Data frame.

var

Analysis column.

trt_var

Treatment/grouping column.

label

Row label for the block.

id_var

Subject identifier column.

digits

Decimals for the mean, SD, median and quartiles.

total

Add a total column?

total_label

Name of the total column.

levels_order

Optional category order. The default is sorted categories.

Value

Data frame with columns param, label, stat (the category) and one column per group.

Examples

stat_freq(ex_adsl, "SEX", "TRT01A", label = "Sex")
#>   param label stat Drug 10 mg Drug 20 mg    Placebo      Total
#> 1   Sex   Sex    F 12 (60.0%) 13 (65.0%) 13 (65.0%) 38 (63.3%)
#> 2   Sex   Sex    M  8 (40.0%)  7 (35.0%)  7 (35.0%) 22 (36.7%)