similar to: Xenial rpart package on CRAN built with wrong R version?

I?m not using the PPA, but the CRAN mirror from https://cran.r-project.org/bin/linux/ubuntu/#installation: deb https://cloud.r-project.org/bin/linux/ubuntu xenial-cran35/ On 14 Aug 2018, at 12:25, George N. White III <gnwiii at gmail.com<mailto:gnwiii at gmail.com>> wrote: qOn Tue, 14 Aug 2018 at 05:04, Ulrich KELLER <ulrich.keller at uni.lu<mailto:ulrich.keller at

I manually downloaded the rpart package and installed it using dpkg, without removing the old rpart package first, and now everything works. During the installation, dpkg said: Unpacking r-cran-rpart (4.1-13-1cran1xenial0) over (4.1-13-1cran1xenial0) So again, it seemed that the new version had been installed, but it really wasn?t. I had no idea that something like this could happen. Huh.

Starting 4/27/2020 I started having issues installing r-base/dev packages on unbuntu 16.04. Here are the commands I used based on https://cran.r-project.org/bin/linux/ubuntu/README.html echo "deb https://cloud.r-project.org/bin/linux/ubuntu xenial-cran35/" | sudo tee -a /etc/apt/sources.list gpg --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys

The old (3.4) repo has the same version or rpart (with the same package filename), which I assume was the version installed on my machine prior to my upgrade to 3.5. I guess apt didn?t upgrade because there was no version change. Maybe the debian_revision part of the version could be bumped to make sure the rebuilt packages are upgraded for people upgrading from the 3.4 repo? > On 16 Aug 2018,

On 08/14/2018 06:42 AM, Ulrich KELLER wrote: > I?m not using the PPA, but the CRAN mirror from https://cran.r-project.org/bin/linux/ubuntu/#installation: > > deb https://cloud.r-project.org/bin/linux/ubuntu xenial-cran35/ > > On 14 Aug 2018, at 12:25, George N. White III <gnwiii at gmail.com<mailto:gnwiii at gmail.com>> wrote: > > qOn Tue, 14 Aug 2018 at 05:04,

On Thu, 16 Aug 2018 at 03:15, Ulrich KELLER <ulrich.keller at uni.lu> wrote: > The old (3.4) repo has the same version or rpart (with the same package > filename), which I assume was the version installed on my machine prior to > my upgrade to 3.5. I guess apt didn?t upgrade because there was no version > change. Maybe the debian_revision part of the version could be bumped to

Hello All, When I try to install r-base-dev on my Ubuntu 16.04 it gives me the following error r-base-dev : Depends: dh-r but it is not installable E: Unable to correct problems, you have held broken packages. I added the following two repos deb https://mirrors.ebi.ac.uk/CRAN/bin/linux/ubuntu xenial-cran35 deb http://uk-mirrors.evowise.com/ubuntu/ bionic-backports main restricted universe but

Good morning! I'm trying to install R on my PC (16.04; LTS), but the following error ocours: E: Falhou obter http://ppa.launchpad.net/skunk/pepper-flash/ubuntu/dists/xenial/main/source/Sources 404 Not Found I ran the following commands on the terminal: * printf '\n#CRAN mirror\ndeb https://cloud.r-project.org/bin/linux/ubuntu xenial-cran35/\n' | sudo tee -a

Michael, ESS broke again on my laptop after I upgraded to Ubuntu 18.10. The elpa-ess package seems to be provided multiple times, sadly the one with xenial (16.04) in its name wins ... and breaks the setup. I one for cosmic, I had one from bionic (18.04), but because the names 'wrapped' the 'x' wins over 'b' and 'c'. We had talked about that in the past, it

Dear Debian persons I would like enquire about whether the repository deb https://cloud.r-project.org/bin/linux/ubuntu bionic-cran35/ I tried to follow the instructions and I cannot get R3.5.1 - I get R3.4.4??? I have been able to install R3.5.1 on Ubuntu 16.02 using the xenial-cran35/ repository & so not sure if the bionic link is up to date? thanks in advance Regards Alison

Hello there. I have fitted a rpart model. > rpartModel <- rpart(y~., data=data.frame(y=y,x=x),method="class", ....) and can use rpart$where to find out the terminal nodes that each observations belongs. Now, I have a set of new data and used predict.rpart which seems to give only the predicted value with no information similar to rpart$where. May I know how

Dear R users, I'm working with the rpart package and want to evaluate the performance of user defined split functions. I have some problems in understanding the meaning of the xval argument in the two functions rpart.control and xpred.rpart. In the former it is defined as the number of cross-validations while in the latter it is defined as the number of cross-validation groups. If I am

Dear list For my work, it would be helpful if rpart worked seamlessly with an empty model: library(rpart); rpart(formula=y~0, data=data.frame(y=factor(1:10))) Currently, an unrelated error (originating from na.rpart) is thrown. At some point in the near future, I'd like to release a package to CRAN which uses rpart and relies on that functionality. I have prepared a patch (minor

I just updated rpart to the latest version (3.1.0). There are a number of changes between this and previous versions, and some of the code I've been using with earlier versions (e.g. 3.0.2) no longer work. Here is a simple illustration of a problem I'm having with xpred.rpart. iris.test.rpart<-rpart(iris$Species~., data=iris[,1:4], parms=list(prior=c(0.5,0.25, 0.25))) + ) >

I've written a small adaptation of the text.rpart function of the rpart package to better suite my tree presentation needs (I basically left the code untouched, only changing some numbers relating to label positioning). When I changed to version 1.7.0 this function stopped working printing the error : couldn't find function "rpartco" As far as I understand this has to do

Hello useR, Could you please tell me how to draw the decision boundaries in a scatterplot of the original data for a LDA or Rpart object. For example: > library(rpart) >fit.rpart <- rpart(as.factor(group.id)~., data=data.frame(Data) ) How can I draw the cutting lines on the orignial Data? Or is there any built in functions that can read the rpart object 'fit.rpart' to do

I tried using rpart, as below, and got this error message "rpart Error in yval[, 1] : incorrect number of dimensions". Thinking it might somehow be related to the large number of missing values, I tried using complete data, but with the same result. Does anyone know what may be going on, and how to fix it? I have traced two similar error messages in the Archive, but following the

Dear all, I am having some trouble with getting the rpart function to work as expected. I am trying to use rpart to combine levels of a factor to reduce the number of levels of that factor. In exploring the code I have noticed that it is possible for chisq.test to return a statistically significant result whilst the rpart method returns only the root node (i.e. no split is made). The following

Hi, I am using rpart decision trees to analyze customer churn. I am finding that the decision trees created are not effective because they are not able to recognize factors that influence churn. I have created an example situation below. What do I need to do to for rpart to build a tree with the variable experience? My guess is that this would happen if rpart used the loss matrix while creating

Hi R-helpers, I am using rpart package for decision tree using R.We are invoking R environment through JRI from our java application.Hence, the result of R command is returned in REXP and we use geterrMessage() to retrieve the error. When we execute the following command, cnr_model<-rpart(as.factor(Species)~Sepal Length+Sepal Width+Petal Length, method="class",