sparse_Means: RowMens and colMeans for a sparse matrix
In textTinyR: Text Processing for Small or Big Data Files
Description
Usage
Arguments
Value
Examples
Description
RowMens and colMeans for a sparse matrix
Usage
1
sparse_Means(sparse_matrix, rowMeans = FALSE)
Arguments
sparse_matrix
a sparse matrix
rowMeans
either TRUE or FALSE. If TRUE then the row-means will be calculated, otherwise the column-means
Value
a vector with either the row- or the column-sums of the matrix
Examples
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library(textTinyR)
tmp = matrix(sample(0:1, 100, replace = TRUE), 10, 10)
sp_mat = dense_2sparse(tmp)
spsm = sparse_Means(sp_mat, rowMeans = FALSE)
textTinyR documentation built on Oct. 26, 2021, 9:06 a.m.
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Description Usage Arguments Value Examples
Description
RowMens and colMeans for a sparse matrix
Usage
1 | sparse_Means(sparse_matrix, rowMeans = FALSE)
|
Arguments
sparse_matrix |
a sparse matrix |
rowMeans |
either TRUE or FALSE. If TRUE then the row-means will be calculated, otherwise the column-means |
Value
a vector with either the row- or the column-sums of the matrix
Examples
1 2 3 4 5 6 7 | library(textTinyR)
tmp = matrix(sample(0:1, 100, replace = TRUE), 10, 10)
sp_mat = dense_2sparse(tmp)
spsm = sparse_Means(sp_mat, rowMeans = FALSE)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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