colSdColMeans: colSdColMeans
In eisascience/scCustFx: single-cell custom fxs Package
View source: R/Normalizations.R
colSdColMeans R Documentation
colSdColMeans
Description
a sparse implementation of dropsim::normaliseDGE()
Calculate Column Standard Deviations
Computes the standard deviation of each column in a matrix, optionally removing NA values.
This function is optimized for matrices, including sparse matrices from the Matrix package,
ensuring efficient computation without densifying the sparse matrix. The standard deviation
is computed in a way that is mindful of potential NA values, based on the user's choice.
Usage
colSdColMeans(x, na.rm = TRUE)
Arguments
dge
A matrix rows of genes and cols of cells
Value
A quantile-based normalized matrix
eisascience/scCustFx documentation built on June 2, 2025, 3:59 a.m.
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View source: R/Normalizations.R
| colSdColMeans | R Documentation |
colSdColMeans
Description
a sparse implementation of dropsim::normaliseDGE() Calculate Column Standard Deviations Computes the standard deviation of each column in a matrix, optionally removing NA values. This function is optimized for matrices, including sparse matrices from the Matrix package, ensuring efficient computation without densifying the sparse matrix. The standard deviation is computed in a way that is mindful of potential NA values, based on the user's choice.
Usage
colSdColMeans(x, na.rm = TRUE)
Arguments
dge |
A matrix rows of genes and cols of cells |
Value
A quantile-based normalized matrix
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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