sparseNAMatrix: Sparse Matrix Representation With NAs Not Explicitly Stored

In audachang/recommenderlab.test: Lab for Developing and Testing Recommender Algorithms

Description

Coerce from and to a sparse matrix representation where NAs are not explicitly stored.

Usage

dropNA(x)
dropNA2matrix(x)

Arguments

x	a matrix (for dropNA()). A sparse matrix (for dropNA2matrix())

Details

The representation is based on the sparse dgCMatrix in Matrix but instead of zeros, NAs are dropped.

Note: Be careful when working with matrix operations (multiplication, addition, etc.) since these will use the dgCMatrix superclass which assumes that all dropped values are zero and not NA! This means that the operations might remove zeros or add to NAs incorrectly.

Value

Returns a dgCMatrix or a matrix, respectively.

See Also

dgCMatrix in Matrix.

Examples

m <- matrix(sample(c(NA,0:5),50, replace=TRUE, prob=c(.5,rep(.5/6,6))),
    nrow=5, ncol=10, dimnames = list(users=paste('u', 1:5, sep=''),
    items=paste('i', 1:10, sep='')))
m

## drop all NAs in the representation
sparse <- dropNA(m)
sparse

## convert back to matrix
dropNA2matrix(sparse)

audachang/recommenderlab.test documentation built on May 20, 2019, 1:27 p.m.