runPCA: Dimension reduction using PCA
In sqjin/scAI: integrative analysis of single-cell transcriptomic and epigenomic profiles
Description
Dimension reduction using PCA
Usage
1
2
runPCA(data.use, do.fast = T, dimPC = 50, seed.use = 42,
weight.by.var = T)
Arguments
data.use
input data
do.fast
whether do fast PCA
dimPC
the number of components to keep
seed.use
set a seed
weight.by.var
whether use weighted pc.scores
sqjin/scAI documentation built on Nov. 19, 2020, 4:04 p.m.
R Package Documentation
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Description
Dimension reduction using PCA
Usage
1 2 | runPCA(data.use, do.fast = T, dimPC = 50, seed.use = 42,
weight.by.var = T)
|
Arguments
data.use |
input data |
do.fast |
whether do fast PCA |
dimPC |
the number of components to keep |
seed.use |
set a seed |
weight.by.var |
whether use weighted pc.scores |
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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