In most trialmaster exports, many datasets share a certain amount of columns containing meta-data that are often irrelevant to the point. This function identifies the columns that are present in at least 95% of datasets (by default)
Usage
get_meta_cols(min_pct = getOption("edc_meta_cols_pct", 0.95))Arguments
- min_pct
Default=
0.95. The minimal proportion of datasets a column has to reach. Subject ID is always excluded.
Examples
tm = edc_example_mixed()
#> Warning: Option "edc_lookup" has been overwritten.
load_list(tm)
meta_cols = get_meta_cols()
long_mixed %>% dplyr::select(-dplyr::any_of(meta_cols))
#> # A tibble: 200 × 4
#> SUBJID val1b val2b val3b
#> <int> <dbl> <dbl> <chr>
#> 1 1 0.689 12.3 B
#> 2 1 0.725 10.5 B
#> 3 2 0.217 11.0 C
#> 4 2 -0.202 10.4 C
#> 5 3 -1.37 9.00 D
#> 6 3 -0.309 9.40 D
#> 7 4 -0.453 10.2 E
#> 8 4 0.663 7.07 E
#> 9 5 1.31 9.15 F
#> 10 5 0.501 10.8 F
#> # ℹ 190 more rows