Apply basic split (for use in custom split functions)

This function is intended for use inside custom split functions. It applies the current split as if it had no custom splitting function so that those default splits can be further manipulated.

Usage

do_base_split(spl, df, vals = NULL, labels = NULL, trim = FALSE)

Arguments

spl: (Split)
a Split object defining a partitioning or analysis/tabulation of the data.
df: (data.frame or tibble)
dataset.
vals: (ANY)
already calculated/known values of the split. Generally should be left as NULL.
labels: (character)
labels associated with vals. Should be NULL whenever vals is, which should almost always be the case.
trim: (flag)
whether groups corresponding to empty data subsets should be removed. Defaults to FALSE.

Value

The result of the split being applied as if it had no custom split function. See custom_split_funs.

Examples

uneven_splfun <- function(df, spl, vals = NULL, labels = NULL, trim = FALSE) {
  ret <- do_base_split(spl, df, vals, labels, trim)
  if (NROW(df) == 0) {
    ret <- lapply(ret, function(x) x[1])
  }
  ret
}

lyt <- basic_table() %>%
  split_cols_by("ARM") %>%
  split_cols_by_multivar(c("USUBJID", "AESEQ", "BMRKR1"),
    varlabels = c("N", "E", "BMR1"),
    split_fun = uneven_splfun
  ) %>%
  analyze_colvars(list(
    USUBJID = function(x, ...) length(unique(x)),
    AESEQ = max,
    BMRKR1 = mean
  ))

tbl <- build_table(lyt, subset(ex_adae, as.numeric(ARM) <= 2))
tbl
#>             A: Drug X                    B: Placebo            C: Combination
#>     N    E          BMR1          N    E          BMR1               N       
#> —————————————————————————————————————————————————————————————————————————————
#>    122   10   6.09356345928374   123   10   5.86496605625578         0