qqPlot(y,x="norm", ...,
xlab=if(is.numeric(x)) deparse(substitute(x)) else x,
ylab=deparse(substitute(y)),main="Q-Q Plot",
type="p",col=1,lty=2,lwd=1,pch=1,cex=0.7,plot.it=TRUE,
confidence=.95,qqline=c("observed","expected","none"))x (if non-numerical).FALSE for no band.xyconfidence is specifiedx is numeric, a two-sample test of the null hypothesis that x and y were drawn from the same continuous distribution is performed. Alternatively, x can be a character string naming a continuous distribution function. In such a case, a one-sample test is carried out of the null that y was draw from distribution x with parameters specified by "...".ks.test.par(mfrow=c(1,2))
x<- rnorm(200, mean=0.7,sd=2); y<- rnorm(200, sd=2)
qqPlot(y,x,qqline="exp")
qqPlot(y=y,x="norm",sd=2)
ks.test(x,y)Run the code above in your browser using DataLab