pEvecCatCov: PCA illustration for categories given a covariate
In gc5k/ProQC: Quality control for proteomics
Description
Usage
Arguments
Author(s)
Examples
Description
PCA illustration for categories given a covariate
Usage
1
Arguments
pEvec
Eigenvector matrix.
cat
Array for different samples. length(cat) = nrow(pEvec).
cov
Array for the covariate. length(cat) = nrow(pEvec).
m
Number of proteins.
PC
Index for eigenvectors for illustration. length(PC) = 2.
Author(s)
Guo-Bo Chen
Examples
1
gc5k/ProQC documentation built on March 8, 2020, 8:25 a.m.
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Description Usage Arguments Author(s) Examples
Description
PCA illustration for categories given a covariate
Usage
1 |
Arguments
pEvec |
Eigenvector matrix. |
cat |
Array for different samples. length(cat) = nrow(pEvec). |
cov |
Array for the covariate. length(cat) = nrow(pEvec). |
m |
Number of proteins. |
PC |
Index for eigenvectors for illustration. length(PC) = 2. |
Author(s)
Guo-Bo Chen
Examples
1 |
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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