mcar {missr} | R Documentation |
Little's missing completely at random (MCAR) test
Description
mcar()
performs Little's MCAR test to test for MCAR.
The null hypothesis is that the data is MCAR.
Usage
mcar(data, debug = FALSE)
Arguments
data |
A data frame. |
debug |
A logical value used only for unit testing. |
Details
This function reproduces the d^2 statistic in equation (5) from [1].
This statistic is used to test for MCAR. Comments reference variables
from vignette("background")
(in brackets) to improve readability and
traceability.
Value
statistic |
The d^2 statistic |
degrees_freedom |
Degrees of freedom of chi-squared distribution |
p_val |
P-value of the test |
missing_patterns |
Number of missing patterns |
Note
Code is adapted from mcar_test()
from the naniar package
using base R instead of the tidyverse.
References
[1] Little RJA. A Test of Missing Completely at Random for Multivariate Data with Missing Values. Journal of the American Statistical Association. 1988;83(404):1198-202.
Examples
mcar(pollutionlevels)