Set descriptive statistics as columns

In many cases, treatment groups are represented as columns within a table. But some tables call for a transposed presentation, where the treatment groups displayed by row, and the descriptive statistics are represented as columns. set_stats_as_columns() allows Tplyr to output a built table using this transposed format and deviate away from the standard representation of treatment groups as columns.

Usage

set_stats_as_columns(e, stats_as_columns = TRUE)

Arguments

e

desc_layer on descriptive statistics summaries should be represented as columns

stats_as_columns

Boolean to set stats as columns

Value

The input tplyr_layer

Details

This function leaves all specified by variables intact. The only switch that happens during the build process is that the provided descriptive statistics are transposed as columns and the treatment variable is left as rows. Column variables will remain represented as columns, and multiple target variables will also be respected properly.

Examples

dat <- tplyr_table(mtcars, gear) %>%
  add_layer(
    group_desc(wt, by = vs) %>%
      set_format_strings(
        "n"        = f_str("xx", n),
        "sd"       = f_str("xx.x", sd, empty = c(.overall = "BLAH")),
        "Median"   = f_str("xx.x", median),
        "Q1, Q3"   = f_str("xx, xx", q1, q3),
        "Min, Max" = f_str("xx, xx", min, max),
        "Missing"  = f_str("xx", missing)
      ) %>%
      set_stats_as_columns()
  ) %>%
  build()