prep_check_meta_data_dataframe: Verify and normalize metadata on data frame level

In dataquieR: Data Quality in Epidemiological Research

Verify and normalize metadata on data frame level

Description

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

Usage

prep_check_meta_data_dataframe(meta_data_dataframe = "dataframe_level")

Arguments

meta_data_dataframe

data.frame data frame or path/url of a metadata sheet for the data frame level

Details

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

Value

standardized metadata sheet as data frame

Examples

## Not run: 
mds <- prep_check_meta_data_dataframe("ship_meta_dataframe|dataframe_level") # also converts
print(mds)
prep_check_meta_data_dataframe(mds)
mds1 <- mds
mds1$DF_RECORD_COUNT <- NULL
print(prep_check_meta_data_dataframe(mds1)) # fixes the missing column by NAs
mds1 <- mds
mds1$DF_UNIQUE_ROWS[[2]] <- "xxx" # not convertible
# print(prep_check_meta_data_dataframe(mds1)) # fail
mds1 <- mds
mds1$DF_UNIQUE_ID[[2]] <- 12 # not yet supported
# print(prep_check_meta_data_dataframe(mds1)) # fail

## End(Not run)

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