analyze_colvars_functions | R Documentation |
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()
.
summarize_functions for functions which are wrappers for rtables::summarize_row_groups()
.
analyze_functions for functions which are wrappers for rtables::analyze()
.
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