plot.pca.loadings: PCA Loadings plot This function plots the relation between...
In pjpalla/RFmarkerDetector: Multivariate Analysis of Metabolomics Data using Random Forests
Description
Usage
Arguments
Author(s)
Examples
Description
PCA Loadings plot
This function plots the relation between the original variables and the subspace dimensions.
It is useful for interpreting relationships among variables.
Usage
1
2
## S3 method for class 'pca.loadings'
plot(pca_obj, nvar)
Arguments
pca_obj
an object of class pca
nvar
the number of variables to plot
...
optional graphical parameters
Author(s)
Piergiorgio Palla
Examples
1
2
3
## data(cachexiaData)
## pca_obj <- pca(cachexiaData, autoscale = TRUE, exclude = TRUE)
## plot.pca.loadings(pca_obj, nvar = 20)
pjpalla/RFmarkerDetector documentation built on May 25, 2019, 8:19 a.m.
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.
Description Usage Arguments Author(s) Examples
Description
PCA Loadings plot
This function plots the relation between the original variables and the subspace dimensions. It is useful for interpreting relationships among variables.
Usage
1 2 | ## S3 method for class 'pca.loadings'
plot(pca_obj, nvar)
|
Arguments
pca_obj |
an object of class pca |
nvar |
the number of variables to plot |
... |
optional graphical parameters |
Author(s)
Piergiorgio Palla
Examples
1 2 3 | ## data(cachexiaData)
## pca_obj <- pca(cachexiaData, autoscale = TRUE, exclude = TRUE)
## plot.pca.loadings(pca_obj, nvar = 20)
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.