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Descriptive statistics for a continuous variable

Source: R/stats.R
stat_desc.Rd

Returns n, Mean (SD), Median (Q1, Q3) and Min, Max per group. Quartiles use stats::quantile(type = 2), which is the analogue of the SAS default percentile definition (PCTLDEF=5).

Usage

stat_desc(
  df,
  var,
  trt_var,
  label = var,
  digits = 1L,
  total = TRUE,
  total_label = "Total"
)

Arguments

df

Data frame.

var

Analysis column.

trt_var

Treatment/grouping column.

label

Row label for the block.

digits

Decimals for the mean, SD, median and quartiles.

total

Add a total column?

total_label

Name of the total column.

Value

Data frame with columns param, label, stat and one column per group.

Examples

stat_desc(ex_adsl, "AGE", "TRT01A", label = "Age (years)")
#>         param       label            stat        Drug 10 mg        Drug 20 mg
#> 1 Age (years) Age (years)               n                20                20
#> 2 Age (years) Age (years)       Mean (SD)        58.2 (8.4)        59.6 (9.5)
#> 3 Age (years) Age (years) Median (Q1, Q3) 58.0 (53.0, 64.5) 57.0 (54.0, 64.0)
#> 4 Age (years) Age (years)        Min, Max        41.0, 72.0        48.0, 88.0
#>             Placebo             Total
#> 1                20                60
#> 2       54.4 (10.8)        57.4 (9.7)
#> 3 54.0 (46.0, 59.5) 56.5 (51.5, 63.5)
#> 4        31.0, 77.0        31.0, 88.0