similar to: importing S-Plus data files

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.

> 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 not insulting to me, personally, but quite possibly to the author of that

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

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'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

See if the following helps: > m <- outer(letters[1:5], 1:4, paste, sep="") > m [,1] [,2] [,3] [,4] [1,] "a1" "a2" "a3" "a4" [2,] "b1" "b2" "b3" "b4" [3,] "c1" "c2" "c3" "c4" [4,] "d1" "d2" "d3" "d4" [5,]

> -----Original Message----- > From: r-help-bounces at stat.math.ethz.ch > [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Michael > Sent: Thursday, April 20, 2006 3:50 AM > To: R-help at stat.math.ethz.ch > Subject: [R] Bootstrap error message: Error in > statistic(data, original, ...) : unused argument(s) ( ...) [Broadcast] > > > Dear colleagues, >

Hi All, While attempting to build R-patched using the Portland Group compiler suite on our dual Opteron 250 box running Scyld 29cz5 (based on RH, kernel 2.4.29), I get: make[5]: Leaving directory `/home/andy/Rbuild/R221-pgi/src/library/tools/src' make[5]: Entering directory `/home/andy/Rbuild/R221-pgi/src/library/tools/src' pgcc -I../../../../include -I/include -I/include/CC -fpic

Dear r-help, Having used S-Plus for many years, it has been suggested to me that I could benefit from learning R. A question to this end, though. Would all of my existing S-Plus arrays, functions, and so on have to be re-created from scratch in R, or is there a way to copy them into the .Rdata directory? The answer to this question has major implications for the extent to which R is

Hi all, I am trying to play around with the randomForest function for classification. I know its performance is great. I am currently using the default options. It has many options. How do I further tweak the options so that I can make its performance even better? What are the options that are mostly used? Thanks a lot! M [[alternative HTML version deleted]]

Hello All: Has anyone configured a meetme conference to use video? I have successfully used video phones to talk through *, but I cannot seem to get video when those phones dial into a meetme conference. Is there something else that I need to be doing other than set the "v" flag on my extension for the meetme app? Thanks, Tim

Maybe a useful addition to the predict functions would be to return the values of the predictor variables. It just (unless there are problems) requires an extra line. I have inserted an example below. "predict.glm" <- function (object, newdata = NULL, type = c("link", "response", "terms"), se.fit = FALSE,

Dear R-users, I don't know if there is a problem in wtd.quantile (from library "Hmisc"): -------------------------------- x <- c(1,2,3,4,5) w <- c(0.5,0.4,0.3,0.2,0.1) wtd.quantile(x,weights=w) ------------------------------- The output is: 0% 25% 50% 75% 100% 3.00 3.25 3.50 3.75 4.00 The version of R I am using is: 2.1.0 Best,Jing

Hello I would like to see the algorithm that R uses to generate density functions for several distributions (i.e. Normal,Weibull, etc). I tried: >dnorm function (x, mean = 0, sd = 1, log = FALSE) .Internal(dnorm(x, mean, sd, log)) <environment: namespace:stats> How can I see the code used for densities? Thanks!

I try to use ?randomForest to find variables that are the most important to divide my dataset (continuous, categorical variables) in two given groups. But when I plot the outliers: plot(outlier(FemMalSex_NAavoid88.rf33, cls=FemMalSex_NAavoid88$Sex), type="h",col=c("red","green")[as.numeric(FemMalSex_NAavoid88$Sex)]) it seems to me that all my values appear as

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 ?

Is this an interface bug? Using RGUI for windows I run into a "Not Responding" process (I "smartly" coded an infinite loop, yaiks!), I hit esc and the interpreter was stopped and I recovered the console functionality but the caption on the R icon in my windows taskbar (the individual icon shown for every software currently running in the session) was not updated so the

Hi, I am trying to run randomForests on a datasets of size 500000X650 and R pops up memory allocation error. Are there any better ways to deal with large datasets in R, for example, Splus had something like bigData library. Thank you, Nagu

Hi all, I am using the "svm" command in the e1071 package. Does it have an automatic way of setting the "cost" parameter? I changed a few values for the "cost" parameter but I hope there is a systematic way of obtaining the best "cost" value. I noticed that there is a "cross" (Cross validation) parameter in the "svm" function. But I

Basically, the `Detail' section of ?tune says it all: Details: As performance measure, the classification error is used for classification, and the mean squared error for regression. ... Andy > From: Tae-Hoon Chung > > Hi, all; > > Basically, the subject contains the all information I need to know. > In e1071 library, there are functions to tune parameters.