detect_missing: Detect missing values

In rubenarslan/codebook: Automatic Codebooks from Metadata Encoded in Dataset Attributes

Detect missing values

Description

SPSS users frequently label their missing values, but don't set them as missing. This function will rectify that for negative values and for the values 99 and 999 (only if they're 5*MAD away from the median). Using different settings, you can also easily tag other missing values.

SPSS users frequently label their missing values, but don't set them as missing. This function will rectify that for negative values and for the values 99 and 999 (only if they're 5*MAD away from the median). Using different settings, you can also easily tag other missing values.

Usage

detect_missing(
  data,
  only_labelled = TRUE,
  negative_values_are_missing = TRUE,
  ninety_nine_problems = TRUE,
  learn_from_labels = TRUE,
  missing = c(),
  non_missing = c(),
  vars = names(data),
  use_labelled_spss = FALSE,
  coerce_integer_to_double = FALSE,
  verbose = FALSE
)

detect_missings(data, only_labelled_missings = TRUE, ...)

detect_missing(
  data,
  only_labelled = TRUE,
  negative_values_are_missing = TRUE,
  ninety_nine_problems = TRUE,
  learn_from_labels = TRUE,
  missing = c(),
  non_missing = c(),
  vars = names(data),
  use_labelled_spss = FALSE,
  coerce_integer_to_double = FALSE,
  verbose = FALSE
)

Arguments

data	the data frame with labelled missing values
only_labelled	don't set values to missing if there's no label for them
negative_values_are_missing	by default we label negative values as missing
ninety_nine_problems	SPSS users often store values as 99/999, should we do this for values with 5*MAD of the median
learn_from_labels	if there are labels for missing values of the form [-1] no answer, set -1 in the data to the corresponding tagged missing
missing	also set these values to missing (or enforce for 99/999 within 5*MAD)
non_missing	don't set these values to missing
vars	only edit these variables
use_labelled_spss	the labelled_spss class has a few drawbacks. Since R can't store missing values like -1 and 99, we're replacing them with letters unless this option is enabled. If you prefer to keep your -1 etc, turn this on.
coerce_integer_to_double	By default, missing values in the columns of integers are not labelled, because it's not technically possible. Let this parameter be TRUE if you want to automatically coerce integer columns into double to be able to label the missing values.
verbose	defaults to FALSE, if set to true, the function lets you know where and how it found potential missing values
only_labelled_missings	passed to detect_missing()
...	passed to detect_missing()

Functions

• detect_missings: Deprecated version

rubenarslan/codebook documentation built on Nov. 13, 2022, 12:40 p.m.