Skip to contents

Check binary variables

Source: R/check_dm.R
check_dm.Rd

[Stable] Quick check that your data management steps through add_adr or add_drug found cases.

Usage

check_dm(.data, cols)

Arguments

.data

A data.frame to be checked

cols

A character vector, name of columns to look at (usually will be d_names, a_names)

Value

A transposed data.frame, with row.names equal to cols, and first column is the number of lines in .data where each col is equal to 1.

Details

It is a simple wrapper around dplyr::summarise(). Be careful not to supply factors with > 2 levels or continuous outcome (the function does NOT have a checker for this, so that it is faster). Also, the function WONT work with NAs. Use desc_facvar(). if you need more detailed description of your dataset.

See also

desc_facvar(), add_adr(), add_drug()

Examples

# first create some new variables

demo <- demo_

demo <-
  demo |>
    add_adr(
      a_code = ex_$a_llt,
      adr_data = adr_
    )
#> ℹ `.data` detected as `demo` table.

 # then check the number of reports with each feature

demo |>
  check_dm(names(ex_$a_llt))
#>               [,1]
#> a_embolism       9
#> a_colitis      104
#> a_pneumonitis  103