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 to`analyze_vars_in_cols`

, this function combines`analyze_colvars`

and`summarize_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 on`analyze_colvars`

. It needs`summarize_patients_exposure_in_cols()`

to leverage nesting of label rows analysis with`rtables::summarize_row_groups()`

.`summarize_coxreg()`

: generally based on`rtables::summarize_row_groups()`

, it behaves similarly to`tabulate_*`

functions described above as it is designed to provide specific standard tables that may contain nested structure with a combination of`summarize_row_groups()`

and`rtables::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()`

.