get_pca {MicrobiotaProcess} | R Documentation

## Performs a principal components analysis

### Description

Performs a principal components analysis

### Usage

    get_pca(obj, ...)

    ## S3 method for class 'data.frame'
    get_pca(obj, sampleda = NULL, method = "hellinger", ...)

    ## S3 method for class 'phyloseq'
    get_pca(obj, method = "hellinger", ...)

### Arguments

`obj` | phyloseq, phyloseq class or data.frame shape of data.frame is nrow sample * ncol feature.
`...` | additional parameters, see`prcomp`.
`sampleda` | data.frame, nrow sample * ncol factors.
`method` | character, the standardization methods for community ecologists. see `decostand`.

### Value

pcasample class, contained prcomp class and sample information.

### Examples

    ## Not run:
    library(phyloseq)
    data(GlobalPatterns)
    subGlobal <- subset_samples(GlobalPatterns,
             SampleType %in% c("Feces", "Mock", "Ocean", "Skin"))
    pcares <- get_pca(subGlobal, method="hellinger")
    pcaplot <- ggordpoint(pcares, biplot=TRUE,
                          speciesannot=TRUE,
                          factorNames=c("SampleType"), ellipse=TRUE)

    ## End(Not run)

[Package MicrobiotaProcess version 1.4.4 Index]