drop_cuts {TreeMineR}

Remove cuts from your tree. This is, e.g., useful if you would like to remove certain chapters from the ICD-10 tree used for the analysis as some chapters might be a prior deemed irrelevant for the exposure of interest, e.g., chapter 20 (external causes of death) might not be of interest when comparing two drug exposures.

Description

Remove cuts from your tree. This is, e.g., useful if you would like to remove certain chapters from the ICD-10 tree used for the analysis as some chapters might be a prior deemed irrelevant for the exposure of interest, e.g., chapter 20 (external causes of death) might not be of interest when comparing two drug exposures.

Usage

drop_cuts(tree, cuts, delimiter = "/", return_removed = FALSE)

Arguments

tree

A dataset with one variable pathString defining the tree structure that you would like to use. This dataset can, e.g., be created using create_tree.

cuts

A character vector of cuts to remove. Please make sure that your string uniquely identifies the cut that should be removed. Each string is passed to base::gsub() to identify the cuts that should be removed. Hence, strings can include regular expressions for identifying cuts. If you would like to remove a cut on the top level of the hierarchy, it might be helpful to use the regular expression operator ^.

Regular expression are composed as follows: paste0(cuts, delimiter, "?(.*)")

delimiter

A character defining the delimiter of different tree levels within your pathString. The default is /.

return_removed

A logical value for indicating whether you would like to get a list of removed cuts returned by the function.

Value

If return_removed = FALSE a data.frame with a single variable named pathString is returned, which includes the updated tree. If return_removed = TRUE a list with two elements is return:

tree

The updated tree file

removed

A list of character vectors including the paths that have been removed from the supplied tree. The list is named using the cuts supplied to cut.

Examples

drop_cuts(icd_10_se, c("B35-B49", "F41"))