com_qualified_segment_missingness {dataquieR}R Documentation

Compute Indicators for Qualified Segment Missingness

Description

Indicator

Usage

com_qualified_segment_missingness(
  label_col = NULL,
  study_data,
  item_level = "item_level",
  expected_observations = c("HIERARCHY", "ALL", "SEGMENT"),
  meta_data = item_level,
  meta_data_v2,
  meta_data_segment,
  segment_level
)

Arguments

label_col

variable attribute the name of the column in the metadata with labels of variables

study_data

data.frame the data frame that contains the measurements

item_level

data.frame the data frame that contains metadata attributes of study data

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.

meta_data

data.frame old name for item_level

meta_data_v2

character path to workbook like metadata file, see prep_load_workbook_like_file for details. ALL LOADED DATAFRAMES WILL BE PURGED, using prep_purge_data_frame_cache, if you specify meta_data_v2.

meta_data_segment

data.frame Segment level metadata

segment_level

data.frame alias for meta_data_segment

Value

A list with:


[Package dataquieR version 2.5.1 Index]