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Here we just split into 3 columns for expected, received and missing visits.

Usage

cmp_post_fun(ret, spl, fulldf, .spl_context)

cmp_split_fun(df, spl, vals = NULL, labels = NULL, trim = FALSE, .spl_context)

Arguments

ret

(`list`)
result from previous split function steps.

spl

(`split`)
split object.

fulldf

(`data.frame`)
full data frame.

.spl_context

(`data.frame`)
gives information about ancestor split states that is passed by `rtables`.

df

(`data.frame`)
data set containing all analysis variables.

vals

(`character`)
values to use for the split.

labels

(named `character`)
labels for the statistics (without indent).

trim

(`logical`)
whether to trim the values.

Note

This split function is used in the proportion table TEFSCNCMP01 and similar ones.

See also

[rtables::make_split_fun()] describing the requirements for this kind of post-processing function.