com_qualified_segment_missingness: Compute Indicators for Qualified Segment Missingness

In dataquieR: Data Quality in Epidemiological Research

Compute Indicators for Qualified Segment Missingness

Description

Compute Indicators for Qualified Segment Missingness

Usage

com_qualified_segment_missingness(
  study_data,
  meta_data,
  label_col = NULL,
  meta_data_segment,
  expected_observations = c("HIERARCHY", "ALL", "SEGMENT")
)

Arguments

study_data	data.frame the data frame that contains the measurements
meta_data	data.frame the data frame that contains metadata attributes of study data
label_col	variable attribute the name of the column in the metadata with labels of variables
meta_data_segment	data.frame Segment level metadata
expected_observations	enum HIERARCHY | ALL | SEGMENT. Report the number of observations expected using the old PART_VAR concept. See com_item_missingness for an explanation.

Value

list list with entries:

dataquieR documentation built on July 26, 2023, 6:10 p.m.