Additional parameters within analysis and content functions (afun/cfun)

Details

We list and describe all the parameters that can be added to a custom analysis function below:

.N_col

Column-wise N (column count) for the full column being tabulated within.

.N_total

Overall N (all observation count, defined as sum of column counts) for the tabulation.

.N_row

Row-wise N (row group count) for the group of observations being analyzed (i.e. with no column-based subsetting).

.df_row

data.frame for observations in the row group being analyzed (i.e. with no column-based subsetting).

.var

Variable being analyzed.

.ref_group

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.

.ref_full

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.

.in_ref_col

Boolean indicating if calculation is done for cells within the reference column.

.spl_context

data.frame where each row gives information about a previous 'ancestor' split state. See spl_context.

.alt_df_row

data.frame, i.e. the alt_count_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.

.alt_df

data.frame, .alt_df_row but filtered by columns expression. This data present the same faceting of main data df. This also filters NAs out if related parameters are set to do so (e.g. inclNAs in analyze()). Similarly to .alt_df_row, it can be an empty table if all the entries are filtered out.

.all_col_exprs

List of expressions. Each of them represents a different column splitting.

.all_col_counts

Vector of integers. Each of them represents the global count for each column. It differs if alt_counts_df is used (see build_table()).

Note

If any of these formals is specified incorrectly or not present in the tabulation machinery, it will be treated as if missing. For example, .ref_group will be missing if no baseline is previously defined during data splitting (via ref_group parameters in, e.g., split_rows_by()). Similarly, if no alt_counts_df is provided to build_table(), .alt_df_row and .alt_df will not be present.