Your vector: x=c(5,9,6,1,5,9,7,4,5,6,3,2,4,8,9,6,1,8,4,8)
Check descriptives: mean(x) sd(x) get quantiles for a normal with mean and standard deviation of x: qnorm(c(0.25,0.5,0.75),mean=mean(x),sd=sd(x)) Output: [1] 3.76997 5.50000 7.23003 to get the quantile plot install library "car" and load library by typing in the R prompt: library(car) qq.plot(x) But you can easily look at the histogram of your vector - hist(x) - to see that this does not look very normal Daniel -----Ursprüngliche Nachricht----- Von: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] Im Auftrag von alfieim29 Gesendet: Friday, November 30, 2007 6:26 PM An: [email protected] Betreff: [R] Quantiles and QQ plots I have 20 variables: 5,9,6,1,5,9,7,4,5,6,3,2,4,8,9,6,1,8,4,8 How do I calculate the corresponding quantiles from a normal distribution with the same mean and variance as the sample? Also, how do I draw a QQ plot of the data? Thanks for any help! -- View this message in context: http://www.nabble.com/Quantiles-and-QQ-plots-tf4925742.html#a14097909 Sent from the R help mailing list archive at Nabble.com. ______________________________________________ [email protected] 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. ______________________________________________ [email protected] 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.
