similar to: sample equal number of cases per class

Hello, I fear its a stupid question,..but here it is: If I do this simple calculation with the R console, I surprisingly do not get a zero. Why? -1.1-0.1+1.2 [1] -2.220446e-16 greetings, Ole -- View this message in context: http://r.789695.n4.nabble.com/1-1-0-1-1-2-is-NOT-null-Why-tp4636053.html Sent from the R help mailing list archive at Nabble.com. [[alternative HTML version

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 >

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

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

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:

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]]

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.

Dear all, does anyone know how to define the structure of the required samples using function createDataPartition, meaning proportions of different types of variable in the partition? Smth like this for iris data: createDataPartition(y = c(setosa = .5, virginica = .3, versicolor = .2), times = 10, p = .7, list = FALSE) Thanks a lot for your help. Regards, Trafim [[alternative HTML version

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

Hi Sacha, On second thought, perhaps this is more the direction that you want ... X2 = cbind(X_train,y_train) colnames(X2)[3] = "y" regr2<-randomForest(y~x1+x2, data=X2,maxnodes=10, ntree=10) regr regr2 #Make prediction predictions= predict(regr, X_test) predictions2= predict(regr2, X_test) HTH, Eric On Tue, May 9, 2023 at 6:40?AM Eric Berger <ericjberger at gmail.com>

I have a data.table with dimensions 100 by 10^7. When I do trainIndex <- caret::createDataPartition( df$status, p = .9, list = FALSE, times = 1 ) outerTrain <- df[trainIndex] outerTest <- df[-trainIndex] Subsetting the rows of df takes over 20 minutes. What is the best way to efficiently subset this? Thanks! [[alternative

Hi, Users, I am a new user. I am trying to partition data into training and test. Is there any R package or function that can partition dataset? Also, is there any package do crossvalidation? Any help will be appreciated. Best, Pat [[alternative HTML version deleted]]

Forgive the newbie question, I want to select random rows from my data.frame to create a test set (which I can do) but then I want to create a training set using whats left over. Example code: acc <- read.table("accOUT.txt", header=T, sep = ",", row.names=1) #select 400 random rows in data training <- acc[sample(1:nrow(acc), 400, replace=TRUE),] #try to get whats left

Hi everyone I am trying to do cross validation (10 fold CV) by using e1071:svm method. I know that there is an option (?cross?) for cross validation but still I wanted to make a function to Generate cross-validation indices using pls: cvsegments method. ##################################################################### Code (at the end) Is working fine but sometime caret:confusionMatrix