These functions are wrappers of rtables::analyze_colvars()
which apply corresponding tern
statistics functions to add an analysis to a given table layout. In particular, these functions
where designed to have the analysis methods split into different columns.
analyze_vars_in_cols()
: fundamental tabulation of analysis methods onto columns. In other words, the analysis methods are defined in the column space, i.e. they become column labels. By changing the variable vector, the list of functions can be applied on different variables, with the caveat of having the same number of statistical functions.tabulate_rsp_subgroups()
: similarly toanalyze_vars_in_cols
, this function combinesanalyze_colvars
andsummarize_row_groups
in a compact way to produce standard tables that show analysis methods as columns.tabulate_survival_subgroups()
: this function is very similar to the above, but it is used for other tables.analyze_patients_exposure_in_cols()
: based only onanalyze_colvars
. It needssummarize_patients_exposure_in_cols()
to leverage nesting of label rows analysis withrtables::summarize_row_groups()
.summarize_coxreg()
: generally based onrtables::summarize_row_groups()
, it behaves similarly totabulate_*
functions described above as it is designed to provide specific standard tables that may contain nested structure with a combination ofsummarize_row_groups()
andrtables::analyze_colvars()
.
See also
summarize_functions for functions which are wrappers for
rtables::summarize_row_groups()
.analyze_functions for functions which are wrappers for
rtables::analyze()
.