LAPP.plot.PCA.con: Plot PCA contributions
In ash129/LAPP: Ligand Analysis with Physicochemical Properties
Description
LAPP.plot.PCA.con() takes in a modified PCA object returned by LAPP.PCA() and plots the
variable contributions of two principal components.
Uses ggplot2 and ggrepel.
Usage
1
LAPP.plot.PCA.con(pca, dim1 = 1, dim2 = 2, top.n = 10)
Arguments
pca
Modified PCA object returned by LAPP.PCA().
dim1
Index of PC to plot along the x-axis. Defaults to 1
dim2
Index of PC to plot along the y-axis. Defaults to 2
top.n
Number of top contributions to highlight on the plot. Defaults to 10.
ash129/LAPP documentation built on May 10, 2019, 1:52 p.m.
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Description
LAPP.plot.PCA.con() takes in a modified PCA object returned by LAPP.PCA() and plots the
variable contributions of two principal components.
Uses ggplot2 and ggrepel.
Usage
1 | LAPP.plot.PCA.con(pca, dim1 = 1, dim2 = 2, top.n = 10)
|
Arguments
pca |
Modified PCA object returned by LAPP.PCA(). |
dim1 |
Index of PC to plot along the x-axis. Defaults to 1 |
dim2 |
Index of PC to plot along the y-axis. Defaults to 2 |
top.n |
Number of top contributions to highlight on the plot. Defaults to 10. |
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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