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 byrtables
.- 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.
Value
a split function for use with rtables::split_rows_by when creating proportion-based tables with compliance columns.
See also
rtables::make_split_fun()
describing the requirements for this kind of
post-processing function.