compute_colSds: computes column standard deviations for any type of matrix...
In kkdey/fineboostR:
View source: R/set_X_attributes.R
compute_colSds R Documentation
computes column standard deviations for any type of matrix
replace matrixStats::colSds since this function only takes a dense matrix
Description
computes column standard deviations for any type of matrix
replace matrixStats::colSds since this function only takes a dense matrix
Usage
compute_colSds(X)
Arguments
X
an n by p matrix of any type, e.g. sparse, dense
Value
a p vector of column standard deviations
kkdey/fineboostR documentation built on Jan. 1, 2023, 4:48 p.m.
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View source: R/set_X_attributes.R
| compute_colSds | R Documentation |
computes column standard deviations for any type of matrix replace matrixStats::colSds since this function only takes a dense matrix
Description
computes column standard deviations for any type of matrix replace matrixStats::colSds since this function only takes a dense matrix
Usage
compute_colSds(X)
Arguments
X |
an n by p matrix of any type, e.g. sparse, dense |
Value
a p vector of column standard deviations
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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