LAPP.plot.PCA.var: Plot variances for LAPP PCA
In ash129/LAPP: Ligand Analysis with Physicochemical Properties
Description
LAPP.plot.PCA.var() takes in a modified PCA object returned by LAPP.PCA() and plots the
percentage of variance explained by each principal component.
Uses ggplot2.
Usage
1
LAPP.plot.PCA.var(pca, top.per = 100, n = NA)
Arguments
pca
modified PCA object returned by LAPP.PCA().
n
number of eigenvalues to use. (optional)
top.perc
top percentage of variance explained to display on graph. Default is 90%.
ash129/LAPP documentation built on May 10, 2019, 1:52 p.m.
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Description
LAPP.plot.PCA.var() takes in a modified PCA object returned by LAPP.PCA() and plots the
percentage of variance explained by each principal component.
Uses ggplot2.
Usage
1 | LAPP.plot.PCA.var(pca, top.per = 100, n = NA)
|
Arguments
pca |
modified PCA object returned by LAPP.PCA(). |
n |
number of eigenvalues to use. (optional) |
top.perc |
top percentage of variance explained to display on graph. Default is 90%. |
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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