calcPCA {phantasus} | R Documentation

## Principal Component Analysis.

### Description

`calcPCA` calculates PCA-matrix for the given ExpressionSet and returns this matrix encoded to JSON.

### Usage

    calcPCA(es, columns = c(), rows = c(), replacena = "mean")

### Arguments

`es` | an ExpressionSet object, should be normalized
`columns` | list of specified columns' indices (optional)
`rows` | list of specified rows' indices (optional)
`replacena` | method for replacing NA values (mean by default)

### Value

json with full description of the plot for plotly.js

### Examples

    ## Not run:
    data(es)
    calcPCA(es)

    ## End(Not run)

[Package phantasus version 1.0.2 Index]