Quick check of data columns vs metadata rows

There are 5 mandatory observational unit columns in every data file, so there should always be at least 5 more columns in the data file than there are rows in the metadata file.

Usage

precheck_col_to_rows(data, meta, verbose = FALSE, stop_on_error = FALSE)

Arguments

data

A data frame of the data file

meta

A data frame of the metadata file

verbose

logical, if TRUE prints feedback messages to console for every test, if FALSE run silently

stop_on_error

logical, if TRUE will stop with an error if the result is "FAIL", and will throw genuine warning if result is "WARNING"

Value

a single row data frame

See also

Other precheck_col: precheck_col_invalid_meta(), precheck_col_req_data(), precheck_col_req_meta()

Examples

precheck_col_to_rows(example_data, example_meta)
#>         check result
#> 1 col_to_rows   PASS
#>                                                                                                      message
#> 1 There are an equal number of rows in the metadata file (3) and non-mandatory columns in the data file (3).
#>   guidance_url
#> 1           NA
precheck_col_to_rows(example_data, example_meta, verbose = TRUE)
#> ✔ There are an equal number of rows in the metadata file (3) and non-mandatory columns in the data file (3).
#>         check result
#> 1 col_to_rows   PASS
#>                                                                                                      message
#> 1 There are an equal number of rows in the metadata file (3) and non-mandatory columns in the data file (3).
#>   guidance_url
#> 1           NA