I can make kurtosis but now skewness curve. How can I do that? I have used the following code.
x<-(1:601-301)/50 x dt3<-dt(x,3) pt3<-pt(x,3) # t distribution has mean 0; variance f/(f-2); skewness 0; excess kurtosis 6/(f-4) dn01<-dnorm(x,0,1) pn01<-pnorm(x,0,1) dlogis<-dlogis(x,0,1) plogis<-plogis(x,0,1) # Logistic distribution is a long-tailed distribution with # mean m and variance (pi^2 /3) s^2; skewness 0 and excess kurtosis 5/6. . s<-sqrt(3)/pi # To get mean 0 and variance 1 dlogis<-dlogis(x,0,s) plogis<-plogis(x,0,s) plot(x,dlogis,col="red",type="l") lines(x,dt3,col="blue") lines(x,dn01) plot(x,pn01,type="l") lines(x,pt3) plot(x,qnorm(pn01,0,1),type="l") lines(x,qnorm(pt3,0,1),col="blue") lines(x,qnorm(plogis,0,1),col="red") -- View this message in context: http://r.789695.n4.nabble.com/how-to-create-skewness-curve-tp4634601.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
