search for: sirotkin

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

...ase and overlap). I tried to make s simple modification to the text.tree function so that it will limit the number of significant digits in tree labels, but could not - the original function uses some undocumented "treeco" function, which I can not find. Any ideas ? Thanks. -- Alexander Sirotkin

...rop the packet as soon as possible, i.e. on receive, if possible - by the driver itself. It may not be feasible in general case, but I can think of a couple of scenarios when it does make sense. Any ideas ? Maybe there is some similar QoS mechanism that I''m not aware of ? -- Alexander Sirotkin SW Engineer Texas Instruments Broadband Communications Israel (BCIL) Tel: +972-9-9706587 ________________________________________________________________________ "Those who do not understand Unix are condemned to reinvent it, poorly." -- Henry Spencer

Help! I tried nearly everything I could and still was not able to get IE working with wine 0.9.19. Manual install using App DB, winetools, ies4linux, etc... everything fails, with different problems and error messages of course. It's really frustrating. Is there a way to install IE that actually works ?

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.

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 that it calls to lm() for every group of the categorical variable, however I

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 : Estimate Std. Error t value Pr(>|t|) (Intercept) -3595.3 2767.1 -1.299

> From: Sirotkin, Alexander [mailto:demiurg at ti.com] > > P.S. Anybody who finds my postings insulting, please write a > mail filter > for my address. Although I can not understand why it may insult > anybody. > > P.P.S. Must be related to cultural differences, I guess... It's...

I''m trying to configure 4 queues with strict priorities based on DSCP. I tried to following commands, but it seems that the filters I defined have no effect tc qdisc add dev eth0 root handle 1: prio bands 4 tc qdisc add dev eth0 parent 1:0 handle 10: pfifo limit 100 tc qdisc add dev eth0 parent 1:1 handle 20: pfifo limit 100 tc qdisc add dev eth0 parent 1:2 handle 30: pfifo limit 100 tc

Hi. I was trying to import a very large data table to R using RODBC. By large meaning a table of 600 real numbers and 10000 rows. It failed saying that it reached a memory limit. This is extremely weird because S-Plus can import the same table, and it does this quite fast. Are there any limitations on objects size in current implementation of R ?

I'm going to implement AdaBoost algorithm in R. Just wanted to ensure that there is no implementation of any boosting algorithm in R... don't want to reinvent the wheel... -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

...tured and removed before the peak analysis. Can anyone point me to either some FAQs, or "R" code to do this? I have not yet installed "R", and this is the only current use I would have for it and I want to know if it makes sense to bother before going to the effort. TIA Karl Sirotkin -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat....

I have some data in the Linux version of S-Plus, which I can not use anymore. The program is just broken and won't run. I'm trying to find a way to import that data to either Windows version of S-Plus (which I have running on my other machine) or R (Linux or Windows, it doesn't matter). Unfortunately, nothing seems to work. Windows S-Plus seem to ignore files from Linux .Data

Well, it finally occured to me - predict.nnet() can't handle missing values. In that case it's not really clear what's the point of adding na.action to nnet() if I'm going to run into problems with missing values later anyway... P.S. Anybody who finds my postings insulting, please write a mail filter for my address. Although I can not understand why it may insult anybody.

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 rate of 0.9 !!! I'm running both rpart and bagging with exactly the same parameters, I even

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 already does this or should a try to write it myslef ? Thanks a lot.