data= read.csv(file.choose())
library(corrplot)
library(RColorBrewer)
library(psych)
data<-cbind(X,Y)
corMat = cor(data, method="spearman")
cor.plot(corMat,numbers=TRUE,colors=TRUE,tl.col="black", tl.srt=45,
n=51,main=NULL,labels=NULL,
cex =1.1,
cex.lab = 0.8,
cex.axis =0.8, #right side level
cex.main = 0.8,
cex.sub = 0.8)
###
corMat = cor(data, method="spearman")
col <- colorRampPalette(c("#BB4444", "#EE9988", "#FFFFFF", "#77AADD", "#4477AA"))
corrplot(corMat, method="color", col=col(200),
type="upper", order="hclust",
addCoef.col = "black", # Add coefficient of correlation
tl.col="black", tl.srt=65, #Text label color and rotation
# hide correlation coefficient on the principal diagonal
diag=FALSE
)