com_qualified_segment_missingness {dataquieR} | R Documentation |
Compute Indicators for Qualified Segment Missingness
Description
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 |
meta_data |
data.frame old name for |
meta_data_v2 |
character path to workbook like metadata file, see
|
meta_data_segment |
data.frame Segment level metadata |
segment_level |
data.frame alias for |
Value
A list with:
-
SegmentTable
: data.frame containing data quality checks for "Non-response rate" (PCT_com_qum_nonresp
) and "Refusal rate" (PCT_com_qum_refusal
) for each segment. -
SegmentData
: a data.frame containing data quality checks for "Unexpected location" and "Unexpected proportion" per segment for a report