On Mon, 19 Nov 2007, Thomas Fr??jd wrote:
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.
Look at the qvalue package.
More generally, methods for estimating false discovery rates usually rely
on an estimate of the fraction you describe (but typically consider
both tails). I would guess that there are several packages on CRAN or in
the Bioconductor suite that address this.
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.
If these are independent observations, try the boot package.
HTH,
Chuck
Happy for any help.
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Charles C. Berry (858) 534-2098
Dept of Family/Preventive Medicine
E mailto:[EMAIL PROTECTED] UC San Diego
http://famprevmed.ucsd.edu/faculty/cberry/ La Jolla, San Diego 92093-0901
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