Hello! I am running a very simple mini Monte-Carlo below using the function tstatistic (right below this sentence):
tstatistic = function(x,y){ m=length(x) n=length(y) sp=sqrt( ((m-1)*sd(x)^2 + (n-1)*sd(y)^2)/(m+n-2) ) t=(mean(x)-mean(y))/(sp*sqrt(1/m+1/n)) return(t) } alpha=.1; m=10; n=10 # sets alpha, m, n - for run 1 N=10000 # sets the number of simulations n.reject=0 # counter of num. of rejections tstat<-vector() for (i in 1:N){ x = rnorm(m,mean=10,sd=2) # simulates xs from population 1 y=rexp(n,rate=1/10) t = tstatistic(x,y) # computes the t statistic tstat = c(tstat,t) if (abs(t)>qt(1-alpha/2,n+m-2)) n.reject=n.reject+1 # reject if |t| exceeds critical pt } true.sig.level=n.reject/N # est. is proportion of rejections true.sig.level And then I would like to plot the observed t values (in the vector "tstat") against the values of the t density with df=18. Somehow, my t denstity (code line 2 below) does not show up: plot(density(tstat),xlim=c(-5,8),ylim=c(0,.4),lwd=3) lines(x,dt(x,df=18)) legend(4,.3,c("exact","t(18)"),lwd=c(3,1)) Thanks a lot! D. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.