prep_check_meta_data_segment: Verify and normalize metadata on segment level

In dataquieR: Data Quality in Epidemiological Research

Verify and normalize metadata on segment level

Description

if possible, mismatching data types are converted ("true" becomes TRUE)

Usage

prep_check_meta_data_segment(
  meta_data_segment = "segment_level",
  meta_data_v2,
  segment_level
)

Arguments

meta_data_segment	data.frame data frame or path/url of a metadata sheet for the segment 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.
segment_level	data.frame alias for meta_data_segment

Details

missing columns are added, filled with NA, if this is valid, i.e., n.a. for STUDY_SEGMENT as the key column

Value

standardized metadata sheet as data frame

Examples

## Not run: 
mds <- prep_check_meta_data_segment("ship_meta_v2|segment_level") # also converts
print(mds)
prep_check_meta_data_segment(mds)
mds1 <- mds
mds1$SEGMENT_RECORD_COUNT <- NULL
print(prep_check_meta_data_segment(mds1)) # fixes the missing column by NAs
mds1 <- mds
mds1$SEGMENT_UNIQUE_ROWS[[2]] <- "xxx" # not convertible
# print(prep_check_meta_data_segment(mds1)) # fail

## End(Not run)

dataquieR documentation built on Jan. 8, 2026, 5:08 p.m.