Re: [R] BIZARRE results from wilcox.test()

Dear Mr or Ms genecleaner, I think you will find that Daniel's suggested explanation, the use of a normal approximation, fits well with your observation regarding the exact option. So I cannot see why you feel bullied, I found the replies that you received from the list topical and helpful.

Re: [R] combine the data frames into comma separated list.

Hi, try ?merge Best, David. On 13 June 2011 23:48, Mary Kindall mary.kind...@gmail.com wrote: Hi R users, I am new to R and am trying to merge data frames in the following way. Suppose I have n data frames each with two fields. Field 1 is common among data frames but may have different

Re: [R] combine the data frames into comma separated list.

  tt    NA    NA 7    6  uu    NA    NA 8    2    NA aaa    9    4    NA    NA    10   4    NA    NA    11   4    NA    NA    Thanks -- M On Mon, Jun 13, 2011 at 6:35 PM, Dr. D. P. Kreil (Boku) david.kr...@boku.ac.at wrote: Hi, try ?merge Best, David

Re: [R] combine the data frames into comma separated list.

(dataframe3, merge(dataframe1,dataframe2, by = 'Src', all=TRUE, incomparables=''), by = 'Src', all=TRUE, incomparables='') ddply(test, ~ Src , colwise(paste, .(Target1)), collapse =, ); Thanks On Mon, Jun 13, 2011 at 7:14 PM, Dr. D. P. Kreil (Boku) david.kr...@boku.ac.at wrote: ?write.csv

Re: [R] combine the data frames into comma separated list.

now that's beautiful! :-) Many thanks, David. Try this where DF1, DF2 and DF3 are the data frames: L - list(DF1, DF2, DF3) merge.all - function(...) merge(..., all = TRUE) Reduce(merge.all, lapply(L, function(x) aggregate(x[2], x[1], toString))) The last line gives this:  Src      

[R] Is there an implementation loess with more than 4 parametric predictors or a trick to similar effect?

I have revised my earlier question to and would be grateful for any comments! -- Subject: Is there an implementation of loess with more than 3 parametric predictors or a trick to a similar effect? Dear R experts, I have a problem that is a related to the question raised in this earlier

[R] Is there an implementation of loess with more than 3 parametric predictors or a trick to a similar effect? [re-posting as plain text to pass char-set filter]

Dear R experts, I have a problem that is a related to the question raised in this earlier post     https://stat.ethz.ch/pipermail/r-help/2007-January/124064.html My situation is different in that I have only 2 predictors (coordinates x,y) for local regression but a number of global (parametric)

[R] Is there an implementation loess with more than 4 parametric predictors or a trick to similar effect?

Dear R experts, I have a problem that is a related to the question raised in this earlier post https://stat.ethz.ch/pipermail/r-help/2007-January/124064.html My situation is different in that I have only 2 predictors (coordinates x,y) for local regression but a number of global (parametric)