plot_PCA: Plot the result of a PCA
In courtiol/matingRhinos: Analysis of the Mating, Reproductive Success and Their Correlates in White Rhinos
Description
Usage
Arguments
Value
See Also
Examples
Description
This function creates a plot of the outcome of a Principal Component Analysis
(PCA) using the package ggplot2.
Usage
1
plot_PCA(x)
Arguments
x
The object returned by the function compute_PCA.
Value
A ggplot object.
See Also
Examples
1
2
3
4
PCA_C1_males <- compute_PCA(males[males$Cohort == 'C1', ])
PCA_C2_males <- compute_PCA(males[males$Cohort == 'C2', ])
plot_PCA(PCA_C1_males)
plot_PCA(PCA_C2_males)
courtiol/matingRhinos documentation built on Nov. 22, 2019, 11:10 p.m.
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Description Usage Arguments Value See Also Examples
Description
This function creates a plot of the outcome of a Principal Component Analysis (PCA) using the package ggplot2.
Usage
1 | plot_PCA(x)
|
Arguments
x |
The object returned by the function |
Value
A ggplot object.
See Also
Examples
1 2 3 4 | PCA_C1_males <- compute_PCA(males[males$Cohort == 'C1', ])
PCA_C2_males <- compute_PCA(males[males$Cohort == 'C2', ])
plot_PCA(PCA_C1_males)
plot_PCA(PCA_C2_males)
|
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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