sparse_Means

RowMens and colMeans for a sparse matrix

It offers functions for splitting, parsing, tokenizing and creating a vocabulary for big text data files. Moreover, it includes functions for building a document-term matrix and extracting information from those (term-associations, most frequent terms). It also embodies functions for calculating token statistics (collocations, look-up tables, string dissimilarities) and functions to work with sparse matrices. Lastly, it includes functions for Word Vector Representations (i.e. 'GloVe', 'fasttext') and incorporates functions for the calculation of (pairwise) text document dissimilarities. The source code is based on 'C++11' and exported in R through the 'Rcpp', 'RcppArmadillo' and 'BH' packages.

Lampros Mouselimis

textTinyR

Text Processing for Small or Big Data Files

sparse_Means function

<dl><dt>sparse_matrix</dt>
<dd>a sparse matrix</dd>
<dt>rowMeans</dt>
<dd>either TRUE or FALSE. If TRUE then the row-means will be calculated, otherwise the column-means</dd></dl>

Arguments

RowMens and colMeans for a sparse matrix — sparse_Means

<dl>

<dt>sparse_matrix</dt>
<dd>a sparse matrix</dd>


<dt>rowMeans</dt>
<dd>either TRUE or FALSE. If TRUE then the row-means will be calculated, otherwise the column-means</dd>

</dl>

sparse_Means: RowMens and colMeans for a sparse matrix

Description

Usage

Value

Arguments

Examples