remove.low.cv: Remove features with low variation
In abodein/timeOmics_BioC: Time-Course Multi-Omics data integration
View source: R/remove.low.cv.R
remove.low.cv R Documentation
Remove features with low variation
Description
remove.low.cv that removes variables with low variation.
From a matrix/data.frame (samples in rows, features in columns), it computes the coefficient of variation for every features (columns)
and return a filtered data.frame with features for which the coefficient of variation is above a given threshold.
Usage
remove.low.cv(X, cutoff = 0.5)
Arguments
X
a matrix/data.frame
cutoff
a numeric value
Value
a data.frame/matrix
Examples
mat <- matrix(sample(1:3, size = 200, replace = TRUE), ncol=20)
remove.low.cv(mat, 0.4)
abodein/timeOmics_BioC documentation built on April 10, 2024, 10:01 a.m.
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View source: R/remove.low.cv.R
| remove.low.cv | R Documentation |
Remove features with low variation
Description
remove.low.cv that removes variables with low variation.
From a matrix/data.frame (samples in rows, features in columns), it computes the coefficient of variation for every features (columns)
and return a filtered data.frame with features for which the coefficient of variation is above a given threshold.
Usage
remove.low.cv(X, cutoff = 0.5)
Arguments
X |
a matrix/data.frame |
cutoff |
a numeric value |
Value
a data.frame/matrix
Examples
mat <- matrix(sample(1:3, size = 200, replace = TRUE), ncol=20)
remove.low.cv(mat, 0.4)
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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