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. Sin

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

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

7;','','','',''))); > dataframe3 = data.frame(cbind(Src = c(1,3,5,6,6), Target3 = > c('xx','yy','zz','tt','uu'))); > test = merge(dataframe3, merge(dataframe1,da

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

ll=TRUE), by > = 'Src', all=TRUE) >    Src Target3 Target1 Target2 > 1    1  xx aaa    > 2    1  xx bbb    > 3    1  xx ccc    > 4    3  yy     ddd    > 5    5  zz        > 6    6  tt        > 7    6  uu        > 8

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

Hi, try ?merge Best, David. On 13 June 2011 23:48, Mary Kindall 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 entries. Field 2 is di

[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?

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 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")