SXTpcaplot-package: SXTpcaplot is used to draw PCA plot
In jaspershen/SXTpcaplot: PCA analysis plot

Description Usage Arguments Details Author(s) References See Also

SXTpcaplot is used to draw PCA plot

SXTpcaplot<-function(sample=NULL,qc=NULL,info=NULL,tags=NULL,
                     #used data
                     width=7,height=7,QC=FALSE,text=FALSE,ellipse=FALSE,
                     color=c("green","red","blue","yellow","black","cyan","gray48",
                             "chocolate4","darkmagenta","indianred1"),
                     shape=c(17,19,15,18,2,8,11,13,12,14),
                     cexlab=1.3,cexaxis=1.3,cexa=1.3,cextext=1
                     #parameter setting)

sample:	a matrix whose column reorents peak and row represents sample
qc:	a matrix whose column reorents peak and row represents qc
info:	a matrix whose colum represent the classes of samples
tags:	a matrix represent the information of peaks
width&heigh:	the width and heigh of plot, default are 7
QC:	the qc samples are drawn in the plot or not, default is FALSE
text:	the samples' names are writen in the plot or not, default is FALSE
ellipse:	the ellipse is drawn in the plot or not, default is FALSE
color:	the colors for the different classes of samples,
	default are c("green","red","blue","yellow","black","cyan","gray48")
shape:	the shapes for the different classes of samples, default are c(17,19,15,18,2,8,11)
scalemethod:	which scale method you want to use? auto, pareto and center

Package:	SXTpcaplot
Type:	Package
Version:	2.2
Date:	2016-08-03
License:	What license is it under?
pcaplot 2d t1 vs t2:	the PCA plot respect to PC1 and PC2
pcaplot 2d t1 vs t3:	the PCA plot respect to PC1 and PC3
pcaplot 2d t2 vs t3:	the PCA plot respect to PC2 and PC3
pcaplot 3d:	the PCA plot respect to PC1, PC2 and PC3
sample.pca:	the pca model of sample
version2.2:	the name who is not in the sample is discarded from info