Create Table of Data Quality Flags in Flagging Columns within individual data columns

get_dc_flags (dc=data columns) returns a data frame that, for each data file in a data package lists the name of each data flagging column and the number of each flag type within that column (A, AE, R, P) as well as the total number of data points in the data flagging columns for each .csv, excluding NAs. Unweighted Relative Response (RRU) is calculated as the total number of accepted data points (A, AE, and data that are not flagged).

get_dc_flags(directory = here::here())

Arguments

directory

is the path to the data package .csv files (defaults to the current working directory).

Value

a dataframe named dc_flag that contains a row for each .csv file in the directory with the file name, the count of each flag and total number of data points in each .csv (including data flagging columns).

Details

The function can be run from within the working directory where the data package is, or the directory can be specified. The function only supports .csv files and assumes that all data flagging columns have column names ending in "_flag". It counts cells within those columns that start with one of the flagging characters (A, AE, R, P) and ignores trailing characters and whitespaces.

Examples

if (FALSE) { # \dontrun{
get_df_flags("~/my_data_package_directory")
get_df_flags() # if your current working directory IS the data package
directory.
# ->
get_custom_flags(output="columns")
} # }