MissMech (version 1.0.4)

OrderMissing: Order Missing Data Pattern

Description

This function rearranges the data based on their missing data patterns. Morever, missing data patterns consisting of fewer than the user specified number in del.lesscases is deleted from the dataset.

Usage

OrderMissing(data, del.lesscases = 0)

Value

An object of class orderpattern - a list including elements:

data

A matrix containing the rearranged data set

caseorder

A mapping of case number indices from output (ordered) data to input data. More specifically, the j-th row of the output (ordered) data is the caseorder[j]-th (the j-th element of caseorder) row of the input data.

patused

A matrix indicating the missing data patterns in the data set, using 1's' (for observed) and NA's (for missing)

patcnt

A vector consisting the number of cases corresponding to each pattern in patused

spatcnt

Cumulative sum of elements of patcnt

g

Number of missing data patterns

removedcases

The index of cases that were removed from the original data set

Arguments

data

A matrix or data frame consisting of at least two columns. Values must be numerical with missing data indicated by NA.

del.lesscases

Missing data patterns consisting of del.lesscases number of cases or less will be removed from the data set.

Author

Mortaza Jamshidian, Siavash Jalal, and Camden Jansen

Examples

set.seed <- 50
n <- 200
p <- 4
pctmiss <- 0.2
y <- matrix(rnorm(n * p),nrow = n)
missing <- matrix(runif(n * p), nrow = n) < pctmiss
y[missing] <- NA
out <- OrderMissing(y, del.lesscases = 0)
a <- out$caseorder
z = out$data
y[a,] # Reverting the original data to the new output order
z[order(a),] # Reverting the ordered datat to the original order