qqunif {gap} | R Documentation |
This function produces Q-Q plot for a random variable following uniform distribution with or without using log-scale.
qqunif(u,logscale=TRUE,base=10,col=palette()[4],lcol=palette()[2],...)
u |
a vector of uniformly distributed random variables |
logscale |
to use logscale |
base |
the base of the log function |
col |
color for points |
lcol |
color for the diagonal line |
... |
other options as appropriae for the qqplot function |
The returned value is a list with components of a qqplot:
x |
-log(expected value for uniform order statistics) |
y |
-log(observed value) |
Davison AC. Statistical Models. Cambridge University Press 2003.
Jing Hua Zhao
## Not run: # Q-Q Plot for 1000 U(0,1) r.v., marking those <= 1e-5 u_obs <- runif(1000) r <- qqunif(u_obs,pch=21,bg="blue",bty="n") u_exp <- r$y hits <- u_exp >= 2.30103 points(r$x[hits],u_exp[hits],pch=21,bg="green") ## End(Not run)