prep.ccm: Prepare for comparison of conditional means
In bojinov/diagMAAR: Diagnostic tests for missing always at random

Description Usage Arguments Details Value See Also Examples

prep.ccm takes a data frame, or matrix and prepares it to be analyzed by diagMAAR.ccm.

1	prep.ccm(dt)

`dt`	A numeric matrix, data frame or data table.

prep.ccm is part of the data preparation functions used to pre-process data sets so that diagnostic tests for the MAAR assumption can be ran.

prep A prep S3 object that contains the original data, the desired diagnostic test to use, the sample size, the number of missing variables, the location of the missing variables, the number of variables and a data set that has the missingness indicators appended.

Other prep: prep.cop, prep.dtmm, prep

# Generate 100 iid samples from a MVN with correlation equal to 0.3
samples.mvn <- sample_mvn(5, 0.3, 100)
# Take the Gaussian data and and delete some values from the fourth row.
obs.nvmn <- MAAR_mechanism(samples = samples.mvn, miss.coef = 0.2, 
                           miss.nvar = 1, miss.var = 4, 
                           prob.coef = matrix(c(-1, 0.5, 0.7, - 0.2), 1, 4))
dt.prep <- prep.ccm(obs.mvn)
print(dt.prep)