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Hi, Is there a function in R that I can use to fit the data with skew t distribution? Speaking in detail, I first used the kernel density estimation to fit my data, then I drew the skew t using my specified location, scale, shape, and df to make it close to the kernel density. Now I want to get the parameter estimations of the skew t which give me the closet density to the kernel density.

hi, i''m trying ferret and acts_as_ferret, it''s good, but i''ve a little problem. i''ve a model book which has a title and a quantity, how can i search using act_as_ferret all books which quantity is > 0 ? and howand with a search like "book", how can i found also title like "books" ? and the last, if i search "bok", is it possible

May I ask to add receiving smtp server mail queue id to sieve 'sent vacation response' log line? Now: 2014-05-09T15:04:32+02:00 name/ip dovecot: lmtp(8164, user1 at domain): YvJFLVbSbFPkHwAASpgOhg: sieve: msgid=<000301cf6b87$36be4570$a43ad050$@us.edu.pl> size=46850: sent vacation response to <user2 at domain> Asked for something like this: 2014-05-09T15:04:32+02:00 name/ip

Thanks for all the help on my previous questions. One more (hopefully last one) : I've been very surprised when I tried to fit a model (using aov()) for a sample of size 200 and 10 variables and their interactions. It turns out that even 2GB of RAM is not anough for aov() with this sample size, which does not seem so big for me. Am I doing something wrong or this is considered a normal