[R] modifications to text.tree function

, but could not - the original function uses some undocumented treeco function, which I can not find. Any ideas ? Thanks. -- Alexander Sirotkin __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read

[R] question about plot.acf

Hi. I'm looking for a way to plot autocorrelation, but in a little bit different way than plot.acf does. Instead of plotting NxN graphs (assuming N is ht enumber of variables) like plot.acf does, I'd like to have one graph of sum of all autocorrelations vs. lag. Is there any function that

RE: [R] statistical significance test for cluster agreement

with clustering? Just my $0.02... Andy From: Alexander Sirotkin [at Yahoo] I was wondering, whether there is a way to have statistical significance test for cluster agreement. I know that I can use classAgreement() function to get Rand index, which will give me some indication whether

RE: [R] statistical significance test for cluster agreement

Christian, I think I understand your point, but I do not completely agree with you. I also did not describe my problem clear enough. If you see two clusterings on the same data, they are identical, if they are 100% identical, and if not, then not. What you are actually saying is that all

[R] statistical significance test for cluster agreement

I was wondering, whether there is a way to have statistical significance test for cluster agreement. I know that I can use classAgreement() function to get Rand index, which will give me some indication whether the clusters agree or not, but it would be interesting to have a formal test. Thanks.

RE: [R] importing S-Plus data files

S-Plus version is 6.1 (on both Linux and Windows), R is 1.8.1. It's Win2K, although I don't think it matters. Thanks. --- Liaw, Andy [EMAIL PROTECTED] wrote: You can help yourself to help us by at least telling us what versions of S-PLUS on Linux the data were created from, the version of

[R] problem with bagging

I'm having the most weird problem with bagging function. For some unknown reason it does not improve the classification (compared to rpart), but instead gives much worse results ! Running rpart on my data gives error rate of about 0.3 and bagging, instead of improving this results, gives error

Re: [R] Difference between summary.lm() and summary.aov()

models, correct me if I'm wrong. It is unclear to me, however, how it manages to do this F-test for interactions ? Thanks a lot. --- Peter Dalgaard [EMAIL PROTECTED] wrote: Alexander Sirotkin [at Yahoo] [EMAIL PROTECTED] writes: John, What you are saying is that any conclusion I can make

Re: [R] Difference between summary.lm() and summary.aov()

here.) Regards, John At 09:17 AM 12/6/2003 -0800, Spencer Graves wrote: The square of a Student's t with df degrees of freedom is an F distribution with 1 and df degrees of freedom. hope this helps. spencer graves Alexander Sirotkin [at Yahoo] wrote: I have

[R] Difference between summary.lm() and summary.aov()

I have a simple linear model (fitted with lm()) with 2 independant variables : one categorical and one integer. When I run summary.lm() on this model, I get a standard linear regression summary (in which one categorical variable has to be converted into many indicator variables) which looks like

Re: [R] R memory and CPU requirements

lot of sense. I hope that this helps, John At 05:03 PM 10/16/2003 -0700, Alexander Sirotkin \[at Yahoo\] wrote: --- Deepayan Sarkar [EMAIL PROTECTED] wrote: On Thursday 16 October 2003 17:59, Alexander Sirotkin \[at Yahoo\] wrote: Thanks for all the help on my previous

Re: [R] R memory and CPU requirements

--- Deepayan Sarkar [EMAIL PROTECTED] wrote: On Thursday 16 October 2003 19:03, Alexander Sirotkin \[at Yahoo\] wrote: 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

Re: [R] R memory and CPU requirements

Alexander, At 01:29 AM 10/17/2003 -0700, Alexander Sirotkin \[at Yahoo\] wrote: I agree completely. In fact, I have about 5000 observations, which should be enough. I was using 200 samples because of RAM limitations and I'm afraid to think about what amount of RAM I'll need to fit

Re: [R] R memory and CPU requirements

--- Deepayan Sarkar [EMAIL PROTECTED] wrote: On Thursday 16 October 2003 17:59, Alexander Sirotkin \[at Yahoo\] wrote: 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

[R] aov and non-categorical variables

It is unclear to me how aov() handles non-categorical variables. I mean it works and produces results that I would expect, but I was under impression that ANOVA is only defined for categorical variables. In addition, help(aov) says that it call to 'lm' for each stratum, which I presume means

Re: [R] aov and non-categorical variables

() I tried to find some explaination about it in R manuals, and did not find any. Do you know where the meaning of Error() in aov() is documented ? Thanks. --- [EMAIL PROTECTED] wrote: On 15 Oct 2003 at 9:32, Alexander Sirotkin [at Yahoo] wrote: It is unclear to me how aov() handles non