PlotPCA2DScore: Create 2D PCA score plot

In xia-lab/MetaboAnalystR: An R Package for Comprehensive Analysis of Metabolomics Data

Create 2D PCA score plot

Description

Rotate PCA analysis

Usage

PlotPCA2DScore(mSetObj=NA, imgName, format="png", 
dpi=72, width=NA, pcx, pcy, reg = 0.95, show=1, grey.scale = 0)

Arguments

mSetObj	Input name of the created mSet Object
imgName	Input a name for the plot
format	Select the image format, "png", or "pdf".
dpi	Input the dpi. If the image format is "pdf", users need not define the dpi. For "png" images, the default dpi is 72. It is suggested that for high-resolution images, select a dpi of 300.
width	Input the width, there are 2 default widths, the first, width = NULL, is 10.5. The second default is width = 0, where the width is 7.2. Otherwise users can input their own width.
pcx	Specify the principal component on the x-axis
pcy	Specify the principal component on the y-axis
reg	Numeric, input a number between 0 and 1, 0.95 will display the 95 percent confidence regions, and 0 will not.
show	Display sample names, 1 = show names, 0 = do not show names.
grey.scale	Use grey-scale colors, 1 = grey-scale, 0 = not grey-scale.

Author(s)

Jeff [e-mail] McGill University, Canada License: GNU GPL (>= 2)

xia-lab/MetaboAnalystR documentation built on April 15, 2024, 12:16 p.m.