mysort: Sort a multivariate data matrix according to patterns of...

In mvnmle: ML Estimation for Multivariate Normal Data with Missing Values

Sort a multivariate data matrix according to patterns of missingness.

Description

mysort sorts a multivariate data matrix so that records with identical patterns of missingness are adjacent to one another. mysort is a private function used inside of mlest.

Usage

mysort(x)

Arguments

x	A multivariate data matrix. Rows correspond to individual records and columns correspond to components of the multivariate vector.

Value

sorted.data	A matrix of the same size as x but with the rows re-arranged so that records with identical patterns of missingness are adjacent to one another.
freq	An integer vector giving the number of records in each block of rows with a unique pattern of missingness. The first element in freq counts the number of rows in the top block of sorted.data, and so on.

See Also

mlest

mvnmle documentation built on March 7, 2023, 7:38 p.m.