afun
/cfun
)It is possible to add specific parameters to afun
and cfun
, in analyze()
and summarize_row_groups()
,
respectively. These parameters grant access to relevant information like the row split structure (see
spl_context) and the predefined baseline (.ref_group
).
We list and describe all the parameters that can be added to a custom analysis function below:
Column-wise N (column count) for the full column being tabulated within.
Overall N (all observation count, defined as sum of column counts) for the tabulation.
Row-wise N (row group count) for the group of observations being analyzed (i.e. with no column-based subsetting).
data.frame
for observations in the row group being analyzed (i.e. with no column-based
subsetting).
Variable being analyzed.
data.frame
or vector of subset corresponding to the ref_group
column including subsetting
defined by row-splitting. Only required/meaningful if a ref_group
column has been defined.
data.frame
or vector of subset corresponding to the ref_group
column without subsetting
defined by row-splitting. Only required/meaningful if a ref_group
column has been defined.
Boolean indicating if calculation is done for cells within the reference column.
data.frame
where each row gives information about a previous 'ancestor' split state.
See spl_context.
data.frame
, i.e. the alt_counts_df
after row splitting. It can be used with
.all_col_exprs
and .spl_context
information to retrieve current faceting, but for alt_count_df
.
It can be an empty table if all the entries are filtered out.
data.frame
, .alt_df_row
but filtered by columns expression. This data present the same
faceting of main data df
. This also filters NA
s out if related parameters are set to do so (e.g. inclNAs
in analyze()
). Similarly to .alt_df_row
, it can be an empty data.frame if all the entries are filtered out.
data.frame
, the full alt_counts_df
as passed into build_table
.
Unlike .alt_df
and .alt_df_row
, this parameter can be used in cases
where the variables required for row splitting are not present in alt_counts_df
.
List of expressions. Each of them represents a different column splitting.
Vector of integers. Each of them represents the global count for each column. It differs
if alt_counts_df
is used (see build_table()
).