sparse.read: SVMLight file reader

In Laurae2/LauraeDS: Laurae's Data Science Package

Description

Reads SVMLight sparse matrix file format. Requires Matrix and sparsio packages.

Usage

sparse.read(file, type = "CsparseMatrix", zero_based = TRUE, ncol = NULL)

Arguments

file	Type: character. Path to your SVMLight file.
type	Type: character. The matrix output type, which can be CsparseMatrix, RsparseMatrix, TsparseMatrix. Defaults to CsparseMatrix.
zero_based	Type: logical. Whether columns are starting from 0 (TRUE), or from 1 (FALSE). Defaults to TRUE.
ncol	Type: integer. The number of columns in the sparse matrix, useful in the case your data is very sparse and you already know the number of columns.

Value

The data from the SVMLight file.

Examples

library(Matrix)
sparse_matrix <- sparseMatrix(i = 1:100, j = 1:100, x = 1:100)
temp_file <- tempfile(fileext = ".svm")
sparsio::write_svmlight(x = sparse_matrix, y = rep(1, ncol(sparse_matrix)), file = temp_file)
sparse_matrix_read <- sparse.read(temp_file)
identical(sparse_matrix, sparse_matrix_read$x)

Laurae2/LauraeDS documentation built on May 29, 2019, 2:25 p.m.