pca.plot: Principal Component Analysis Plotting function
In jmcole003/pcanalysis: Principal Components Analysis Package
Description
Usage
Arguments
Examples
Description
This function outputs biplots for principal components 1 vs. 2 and 1 vs. 3, and plots the percentage of variance explained by each component.
Usage
1
pca.plot(pca)
Arguments
pca
principal component object returned from the run.pca() function
Examples
1
pca.plot(data.pca)
jmcole003/pcanalysis documentation built on Dec. 21, 2021, 1:12 a.m.
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Description Usage Arguments Examples
Description
This function outputs biplots for principal components 1 vs. 2 and 1 vs. 3, and plots the percentage of variance explained by each component.
Usage
1 | pca.plot(pca)
|
Arguments
pca |
principal component object returned from the run.pca() function |
Examples
1 | pca.plot(data.pca)
|
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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