plot_PCA: A function to plot the first two principal components of...
In CB2: CRISPR Pooled Screen Analysis using Beta-Binomial Test
Description
Usage
Arguments
Value
Description
This function will perform a principal component analysis, and it returns a ggplot object of the PCA plot.
Usage
1
plot_PCA(sgcount, df_design)
Arguments
sgcount
The input matrix contains read counts of sgRNAs for each sample.
df_design
The table contains a study design.
Value
A ggplot2 object contains a PCA plot for the input.
library(CB2)
data(Evers_CRISPRn_RT112)
plot_PCA(Evers_CRISPRn_RT112$count, Evers_CRISPRn_RT112$design)
CB2 documentation built on July 24, 2020, 5:08 p.m.
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Description Usage Arguments Value
Description
This function will perform a principal component analysis, and it returns a ggplot object of the PCA plot.
Usage
1 | plot_PCA(sgcount, df_design)
|
Arguments
sgcount |
The input matrix contains read counts of sgRNAs for each sample. |
df_design |
The table contains a study design. |
Value
A ggplot2 object contains a PCA plot for the input.
library(CB2) data(Evers_CRISPRn_RT112) plot_PCA(Evers_CRISPRn_RT112$count, Evers_CRISPRn_RT112$design)
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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