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.
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
)
the data frame with labelled missing values
don't set values to missing if there's no label for them
by default we label negative values as missing
SPSS users often store values as 99/999, should we do this for values with 5*MAD of the median
if there are labels for missing values of the form [-1] no answer, set -1 in the data to the corresponding tagged missing
also set these values to missing (or enforce for 99/999 within 5*MAD)
don't set these values to missing
only edit these variables
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.
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.
defaults to FALSE, if set to true, the function lets you know where and how it found potential missing values
passed to detect_missing()
passed to detect_missing()
detect_missings(): Deprecated version