protein_pca: Principle component analysis
In hirscheylab/proteins: Proteins Data Sets and Utility Functions
Description
Usage
Arguments
Value
Author(s)
Description
: Returns an exploratory PCA analysis, along with a score plot and a scree plot
Usage
1
protein_pca(tidyData, components = 4, center = FALSE, scale = FALSE)
Arguments
tidyData
Normalized data to perform the PCA analysis on
components
The number of components
center
Whether the data is centered or not
scale
Whether the data is scaled or not
Value
A list containing the principal components and the ggplots of the score plot and the scree plot
Author(s)
Matthew Huang
hirscheylab/proteins documentation built on Nov. 15, 2020, 5:15 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 Value Author(s)
Description
: Returns an exploratory PCA analysis, along with a score plot and a scree plot
Usage
1 | protein_pca(tidyData, components = 4, center = FALSE, scale = FALSE)
|
Arguments
tidyData |
Normalized data to perform the PCA analysis on |
components |
The number of components |
center |
Whether the data is centered or not |
scale |
Whether the data is scaled or not |
Value
A list containing the principal components and the ggplots of the score plot and the scree plot
Author(s)
Matthew Huang
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.