scPCA: Single-cell Principal Coordinates Analysis

In VCCRI/CIDR: Clustering through Imputation and Dimensionality Reduction

Description

performs principal coordinates analysis on the CIDR dissimilarity matrix.

Usage

## S4 method for signature 'scData'
scPCA(object, plotPC = TRUE)

Arguments

object	an scData class object.
plotPC	Boolean; if TRUE, a plot of PC variance explained is produced.

Value

an updated scData class object with the following attributes updated

eigenvalues	all eigenvalues (positive and negative) output by the principal coordinates analysis.
PC	principal coordinates.
variation	proportion of variation explained by each of the principal coordinates.

Examples

example(cidr)

VCCRI/CIDR documentation built on May 9, 2019, 9:41 p.m.