similar to: nearZeroVar in caret fails

Hello, We have a system which creates thousands of regression/classification models and in cases where we have only one input variable NaiveBayes throws an error. Maybe I am mistaken and I shouldn't expect to have a model with only one input variable. We use R version 2.6.0 (2007-10-03). We use caret (v4.1.19), but have tested similar code with klaR (v.0.5.8), because caret relies on

Version 4.39 of the caret package was sent to CRAN. caret can be used to tune the parameters of predictive models using resampling, estimate variable importance and visualize the results. There are also various modeling and "helper" functions that can be useful for training models. caret has wrappers to over 75 different models for classification and regression. See the package

Version 4.39 of the caret package was sent to CRAN. caret can be used to tune the parameters of predictive models using resampling, estimate variable importance and visualize the results. There are also various modeling and "helper" functions that can be useful for training models. caret has wrappers to over 75 different models for classification and regression. See the package

The documentation for caret::train shows a list of parameters that one can tune for each method classification/regression method. For example, for the method randomForest one can tune mtry in the call to train. But the function call to train random forests in the original package has many other parameters, e.g. sampsize, maxnodes, etc. Is there **any** way to access these parameters using train

Folks: I keep getting the following error message (I'm on Windows 7, R-2.15.2, and tried a reboot...). Thx! John > install.packages("caret")Installing package(s) into ‘C:/Program Files/R/R-2.15.2/library’ (as ‘lib’ is unspecified)trying URL 'http://streaming.stat.iastate.edu/CRAN/bin/windows/contrib/2.15/caret_5.15-045.zip'Content type 'application/zip' length

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

Hi all, I've been using a custom summary function to optimise regression model methods using the caret package. This has worked smoothly. I've been using the default bootstrapping resampling method. For bagging models (specifically randomForest in this case) caret can, in theory, uses the out-of-bag (oob) error estimate from the model instead of resampling, which (in theory) is largely

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

Hi, I'm using package "caret" to rank predictors using random forest model and draw predictors importance plot. I used below commands: rf.fit<-randomForest(x,y,ntree=500,importance=TRUE) ## "x" is matrix whose columns are predictors, "y" is a binary resonse vector ## Then I got the ranked predictors by ranking

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:

Hi I've recently started using Emacs as my text editor for writing R script. I am looking for a feature which I have seen on the standard R text editor for Mac OS. In the Mac OS editor when you start typing a function, the possible arguments for that function appear at the bottom of the window. E.g. if you type "table( " before you finish typing you can see at the bottom of the

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.

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

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

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

Usually when using raw glmnet I let the implementation choose the lambdas. However when training via caret::train the lambda values are predetermined. Is there any way to have caret defer the lambda choices to caret::train and thus choose the optimal lambda dynamically? -- Yang Zhang http://yz.mit.edu/

I want to use caret to build a model with an algorithm that actually has no parameters to find. How do I stop it from repeatedly building the same model 25 times? library(caret) data(mdrr) LOGISTIC_model <- train(mdrrDescr,mdrrClass ,method='glm' ,family=binomial(link="logit") ) LOGISTIC_model 528

Hello, I have some time series applications, where i have a large set of X variables (hundreds) and thousands of time data points (sampling every minute). I like to use the caret package to support the analysis, variable selection and model selection. However, reading the documentation, it looks like caret uses resampling methods. Not sure if these methods work with time series, as you

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 >

Dear community, I've check it while working, but just to reassure myself. Let's say we have 2 models: model1 <- lm(vdep ~ log(v1) + v2 + v3 + I(v4^2) , data = mydata) model2 <- lm(vdep ~ log(v1) + v2 + v3 + v4^2, data = mydata) So in model1 you really square v4; and in model2, v4*^2 *doesn't do anything, does it? Model2 could be rewritten: model2b <- lm(vdep ~