similar to: cross validation

>From Internet I downloaded the file Hmisc.zip and used it for R package updation. and R gave the message 'Hmisc' successfull unpacked. But when I use the functions like aregImpute the package is displaying coundn't find the function Where as in help.search it is giving that use of the function >

  I have timeseries data for some factors, and some missing values are there in those factors, I want impute those missing values without disturbing the distribution of that factor, and maintaining the correlation with other factors. Pl. suggest me some imputation methods. I tried some functions in R like aregImpute, transcan. After the imputation I am unable to retrive the data with imputed

Greetings, I am having trouble calculating artificial neural network misclassification errors using errorest() from the ipred package. I have had no problems estimating the values with randomForest() or svm(), but can't seem to get it to work with nnet(). I believe this is due to the output of the predict.nnet() function within cv.factor(). Below is a quick example of the problem I'm

Can we do Cholesky Decompositon in R for any matrix --------------------------------- [[alternative HTML version deleted]]

Sir,   I am unable to get the source code for Durbin-Watson test, as I want to calculate the p-value for Durbin Watson statistic using interpolation method. I sent this mail to r-help, but it was rejected, please suggest me some way. I will be highly greatful to you. Thanks in advance Ramesh [[alternative HTML version deleted]]

Dear all, Does anybody can explain this: different results got when all the same parameters are used in the errorest() in library ipred, as the following? errorest(Species ~ ., data=iris, model=randomForest, estimator = "cv", est.para=control.errorest(k=3), mtry=2)$err [1] 0.03333333 > errorest(Species ~ ., data=iris, model=randomForest, estimator = "cv",

Dear List, I have a question regarding "ipred" package. Under 10-fold cv, for different knn ( = 1,3,...25), I am getting same misclassification errors: ############################################# library(ipred) data(iris) cv.k = 10 ## 10-fold cross-validation bwpredict.knn <- function(object, newdata) predict.ipredknn(object, newdata, type="class") for (i in

Dear all, can anybody help me with the program below? The function predict.lda seems to be defined but cannot be used by errortest. The R version is 1.7.1 Thanks in advance, Stefan ---------------- library("MASS"); library("ipred"); data(iris3); tr <- sample(1:50, 25); train <- rbind(iris3[tr,,1], iris3[tr,,2], iris3[tr,,3]); test <- rbind(iris3[-tr,,1],

Hi, I am using errorest function from ipred package. I am hoping to perform "bootstrap 0.632+" and "bootstrap leave one out". According to the manual page for errorest, i use the following command: ce632[i]<-errorest(ytrain ~., data=mydata, model=lda, estimator=c("boot","632plus"), predict=mypredict.lda)$error It didn't work. I then tried the

Test for stationarity (pp-test). In R source code all other command executions I understood, but how I am getting the ssqrtl value ssqrtl <- .C ("R_pp_sum", as.vector(u,mode="double"), as.integer(n), as.integer(l), trm=as.double(ssqru), PACKAGE="ts") please explain the above command. Thanks in advance Ramesh [[alternative HTML version

Hi, there: I made a function to do k-fold cross-validation as below. Basically whenever I call cv(test) for example, an error message like: 20Fold 1 Error in model.frame(formula, rownames, variables, varnames, extras, extranames, : variable lengths differ please help. My test dataset has 142 variables, the last one is a categorical response variable. also, i am not sure how to save

Sorry for the repeat. The PRESS statistic is defined as sum(y-yhat(i))^2, where yhat(i) denotes the ith predicted value using all the data except the ith case (as used typically in linear models). Thanks again Jacob Jacob L van Wyk Department of Mathematics and Statistics Rand Afrikaans University P O Box 524 Auckland Park 2006 South Africa Tel: +27-11-489-3080 Fax: +27-11-489-2832

Dear all, Can I get the leave-one-out cross validation error of randomForest in R? I only found tune(), which got the 10-fold cross validation error. Thanks for any information. Xin LIU This e-mail is from ArraDx Ltd The e-mail and any files transmitted with it are confidentia...{{dropped}}

Dear, I wanna make cross-validation for the species data of species distribution models. Please kindly suggest any package containing cross validation suiting the purpose. Thank you. Elaine [[alternative HTML version deleted]]

Hi Everyone, I am new in using R and I was wondering if anybody knows how to do a leave-one-out cross-validation in R. Thanks Charles Découvrez les photos les plus intéressantes du jour. [[alternative HTML version deleted]]

Hello, How can I do a cross validation in R? Thank You!

Hi all. So I have a data frame with multiple columns/variables. The first variable is a major sample name for which there are some sub-samples. Currently I have used the following command to remove the duplicates: Samps_working<-Samps[-c(which(duplicated(Samps$ESR_Ref_edit))),] This removes all of the duplicated sample rows. However, I just realised that, of course, this removes the first

Can someone help me with performing leave-out-one cross validation using R (model built is a Cox model)? Thanks. --------------------------------------------- David Verbel, MPH Senior Biostatistician Aureon Biosciences 28 Wells Avenue Yonkers, NY 10701 Phone: (914) 377-4021 Fax: (914) 377-4001 --------------------------------------------- [[alternative HTML version deleted]]

Hello, I am using EC2 to launch several instances. On each instance, I perform the following commands yum -y install R (installs R-2.6) R CMD javareconf sleep 10 wget rpackage.tgz R CMD INSTALL rpackage.tgz Now, rpackage.tgz needs to be built with jni libraries. When the instance is fully up, i log in and check if rpackage was successfully installed and find out it wasn't. Running R CMD

A gentle reminder on this issue Please can any one help on this problem? ________________________________ From: Manyam, Ramesh Sent: Wednesday, November 19, 2008 7:46 PM To: xen-devel@lists.xensource.com Subject: megaraid sas driver failing in Xen-3.4 unstable version On Xen-3.4 (unstable version), I have created CentOS HVM guest & WS2K8 HVM guest and dedicated MegaRAID SAS controller but