get_desc_df.estimated_partition: Get descriptive data.frame

In microsoft/CausalGrid: Analysis of Subgroups

Get descriptive data.frame

Description

Get information for each cell

Usage

## S3 method for class 'estimated_partition'
get_desc_df(
  obj,
  cont_bounds_inf = TRUE,
  do_str = TRUE,
  drop_unsplit = TRUE,
  digits = NULL,
  unsplit_cat_star = TRUE,
  import_order = FALSE,
  ...
)

Arguments

obj	partition object
cont_bounds_inf	Should "Inf" be used for continuous bounds (otherwise the bounds from X_range)
do_str	If True, use a string like "(a, b]", otherwise have two separate columns with a and b
drop_unsplit	If True, drop columns for variables overwhich the partition did not split
digits	digits Option (default is NULL)
unsplit_cat_star	Should unsplit categorical variables be listed as "*", otherwise all factor labels will be used.
import_order	Whether should use importance ordering (most important on the left) or input ordering (default) for features. Rows will be ordered so that the right-most will change most frequently.
...	Additional arguments.

Value

data.frame with columns: partitioning columns, N_est, param_ests, pval per estimate

microsoft/CausalGrid documentation built on Aug. 25, 2022, 9:30 a.m.