findMissing: Function for finding indices of missing data in a matrix

In kpodclustr: Method for Clustering Partially Observed Data

Description

findMissing Function for finding indices of missing data in a matrix

Usage

findMissing(X)

Arguments

X	Data matrix containing missing entries whose rows are observations and columns are features

Value

A numeric vector containing indices of the missing entries in X

Author(s)

Jocelyn T. Chi

Examples

p <- 2
n <- 100
k <- 3
sigma <- 0.25
missing <- 0.05
Data <- makeData(p,n,k,sigma,missing)
X <- Data$Missing
missing <- findMissing(X)

kpodclustr documentation built on July 8, 2020, 5:43 p.m.