Hi fellow users I have a new R problem i am hoping to get some pointers on. I have a dataset that is approximately normally distributed but with a fat left tail. I am interested in a good measurement on how much fatter the left tail is than can be expected from a normal distribution. One thing I'll tried was fitting a two component mixture model with the Rmix package but i am also interested in other ideas. Now to my question.
I would like to calculate how many observations are "outside" the normal distribution on the left side. I want to do this by fitting a normal distributions and then use the proportion of observations not inside the bell curve on the left side as a statistic. Since I am relatively new to R I dont have very much success so far and would love any pointers or code examples. Bonus points are given for ideas on how to estimate standard errors. Happy for any help. ______________________________________________ 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.
