similar to: Data Partition Package

Hi   I want to do leave-one-out cross-validation for multinomial logistic regression in R. I did multinomial logistic reg. by package nnet in R. How I do validation? by which function? response variable has 7 levels   please help me   Thanks alot Azam [[alternative HTML version deleted]]

Hi , I have built decision tree using rpart . I want to do k Fold validation on the decision tree . Could you help how can i do that .. please tell the package which required for K fold validation. Regards, Santosh -- View this message in context: http://r.789695.n4.nabble.com/Need-Help-in-K-fold-validation-in-Decision-tree-tp4630730.html Sent from the R help mailing list archive at

Dear R user, I am looking for a code on double cross validation in LASSO , one for optimizing the parameter and other one is for MSEP. If any one have it, please foroward to me. I am using different package like LARS, chemometric etc. Thanks in advance Alex [[alternative HTML version deleted]]

Hello, I've been very impressed by the reshape package and how easy it makes reorganizing statistical data structures. This makes me wonder if there's another package out there that addresses another set of tasks that one often does when preparing data for analysis. For any particular set of analyses, one typically recodes variables and deletes cases and variables. It would be really

Dear R expert I have come across the GBM package for R and it seemed appropriate for my research. I am trying to predict the number of FPGA resources required by a Software Function if it were mapped onto hardware. As input I use software metrics (a lot of them). I already use several regression techniques, and the graphs I produce with GBM look promising. Now my question... I see that the

This is the error then: error in prettyseq(1:ncol(out)) : could not find function "prettyseq" Eric Berger <ericjberger at gmail.com> schrieb am Fr., 14. Apr. 2023, 09:06: > What happens if you do the following? > > library(caret) > > ?caret::createDataPartition > > i.e. to confirm that caret is loaded, seek help on this function > > > On Fri, Apr

Many thanks Bert, now is ok, i did not know that "Namensraum" should mean a package Am So., 16. Apr. 2023 um 23:44 Uhr schrieb Bert Gunter < bgunter.4567 at gmail.com>: > So update the vctrs package to the latest version first before loading > R-tools (or the caret package, specifically)? > > -- Bert > > On Sun, Apr 16, 2023 at 1:57?PM G?bor Malomsoki >

What happens if you do the following? > library(caret) > ?caret::createDataPartition i.e. to confirm that caret is loaded, seek help on this function On Fri, Apr 14, 2023 at 9:56?AM G?bor Malomsoki <gmalomsoki1980 at gmail.com> wrote: > Eric, > > Yes, i know, i am calling the package, but this is not working. > I saw a similar question in Stackoverflow, advising install

You should post the result of running sessionInfo(), and tell us how you installed R. Your installation seems very broken. Duncan Murdoch On 14/04/2023 3:45 a.m., G?bor Malomsoki wrote: > This is the error then: > error in prettyseq(1:ncol(out)) : could not find function "prettyseq" > > > > > Eric Berger <ericjberger at gmail.com> schrieb am Fr., 14.

Eric, Yes, i know, i am calling the package, but this is not working. I saw a similar question in Stackoverflow, advising install package Rcpp, but this one i am unable to install. Eric Berger <ericjberger at gmail.com> schrieb am Fr., 14. Apr. 2023, 08:47: > You first have to load the package using the library command. > > library(caret) > > Then you can call

I have newly installed R, R-tools, RStudio, but still not working: library(caret)Lade n?tiges Paket: latticeError: Laden von Paket oder Namensraum f?r ?caret? in loadNamespace(i, c(lib.loc, .libPaths()), versionCheck = vI[[i]]): fehlgeschlagen Namensraum ?vctrs? 0.5.2 ist bereits geladen, aber >= 0.6.0 wird gefordert Error in createDataPartition(hypotezis_df$X, p = 0.75, list = FALSE, times

Or is there any similar function to split the dataframe to trainDF and testDF? G?bor Malomsoki <gmalomsoki1980 at gmail.com> schrieb am Fr., 14. Apr. 2023, 09:45: > > This is the error then: > error in prettyseq(1:ncol(out)) : could not find function "prettyseq" > > > > > Eric Berger <ericjberger at gmail.com> schrieb am Fr., 14. Apr. 2023, 09:06:

Dear list members. I have problems with the usage of cv.glm from the boot package. Here are some parts of the script I wanted to use: data <- read.table("selected_2D.csv", header=TRUE, sep=",") ? glm.fitted <- glm("ydata$ y ~ 1 + density + vsurf_ID6 + vsurf_S ", data=data) error <- cv.glm(data=data, glm.fitted, K=6) ydata$y is a separate data set, where

So update the vctrs package to the latest version first before loading R-tools (or the caret package, specifically)? -- Bert On Sun, Apr 16, 2023 at 1:57?PM G?bor Malomsoki <gmalomsoki1980 at gmail.com> wrote: > > I have newly installed R, R-tools, RStudio, but still not working: > > library(caret)Lade n?tiges Paket: latticeError: Laden von Paket oder > Namensraum f?r

You first have to load the package using the library command. > library(caret) Then you can call createDataPartition. e.g. > data(oil) > createDataPartition(oilType,2) HTH, Eric On Fri, Apr 14, 2023 at 7:52?AM G?bor Malomsoki <gmalomsoki1980 at gmail.com> wrote: > Dear all, > When i try to use createDataPartition after calling package 'caret', i get > the

Dear all, When i try to use createDataPartition after calling package 'caret', i get the message: "could not find function createDataPartition" I use: R-4.2.3 for Windows RStudio-2023.03.0-386 Do you have any experience with this failure? Thank you! Best regards Gabor [[alternative HTML version deleted]]

Dear community I have a dataframe and want to split it into a learn and a test partition. However the learnset should be balanced, i.e. each class should have the same number of cases. I tried and searched a lot, without success so far. Maybe you can help? Some example code *# generate example data df <- data.frame(class = as.factor(sample(1:3, 20, replace = T)), var1 = rnorm(20,3), var2 =

Hello, I'm trying to separate my dataset into 4 parts with the 4th one as the test dataset, and the other three to fit a model. I've been searching for the difference between these 2 functions in Caret package, but the most I can get is this-- A series of test/training partitions are created using createDataPartition while createResample creates one or more bootstrap samples.

Greetings, I have been exploring the use of the caret package to conduct some plsda modeling. Previously, I have come across methods that result in a R2 and Q2 for the model. Using the 'iris' data set, I wanted to see if I could accomplish this with the caret package. I use the following code: library(caret) data(iris) #needed to convert to numeric in order to do regression #I

I want to split my whole dateset to training set and test set, building model in training set, and validate model using test set. Now, How can I split my dataset to them reasonally. Please give me a hand, It is better to give me some R code. and I see some ways like using SOM to project whole independents to 2-dimensions and find some to be training set and others are test set. like below. I