similar to: Rbuildignore question

I was trying, on a Linux system, to get a .Rbuildignore file to work. After far too long, I found the problem was the <CR><NL> line endings in the .Rbuildignore file -- I had originally created it on a Windows system, and emacs in Ubuntu was politely hiding that fact from me. The patterns didn't work to exclude files because it was trying to match filenames to patterns like

I have some questions about building packages in Windows when using .Rbuildignore . The part of the process that is of interest here is the part that creates the source tree from the tree that contains the .Rbuildignore file. That is, the part of the process that does a build of the original tree creating a .tar.gz and then extracts this file into a source directory that can be used by check,

On Thu, 18 Nov 2004 00:38:47 +0000 (UTC), Gabor Grothendieck <ggrothendieck@myway.com> wrote : >DIFFERENCE BETWEEN USING .RBUILDIGNORE AND NOT > >The reason that the processing is different according to whether one >uses .Rbuildignore or not is that > R CMD build >takes the .Rbuildignore file into account but > R CMD install > R CMD check > R CMD build

Full_Name: David O. Nelson Version: 1.4.1 OS: solaris 2.7 Submission from: (NULL) (128.115.150.74) Putting patterns in .Rbuildignore has no effect when the tar being used is gnu tar (1.13) on solaris 2.7, whilst /usr/sbin/tar works perfectly. TO REPRODUCE: The current directory contains a source package directory ./mypkg... bimini.jgi-psf.org% echo >mypkg/foo bimini.jgi-psf.org% echo

I've changed to Mercurial for my working copies of survival for a number or resons not relevant to this post. When I do R CMD check, I get some warnings about certain files in the .hg directory with odd names. I've added the following 2 lines to my .Rbuildignore file without effect ^\.hg$ ^\.hg.* I'm not a Perl user so perhaps I'm reading the help page wrong. Any pointers? This

The contents of .Rbuildignore seems to affect R CMD build but not R CMD check. I'm using R 2.4.0 on Debian. Is my understanding correct? And is there anything I can do about it? In my case, some of the excluded files contain references to other libraries, so linking fails under R CMD check. I realize I could add the library to the build (with Makevars, I guess), but I do not want to

When a package is built it is first moved to a temporary directory (lines 962-980 in build.R). However, this moves *all* files to the temporary directory, even those in Rbuildignore; only later (lines 997-1024) are Rbuildignore files excluded. The problem with this approach is that some files in the package directory may not be movable. On Windows at least, the full path name to a file must not

I've made a package for which R CMD build isn't producing very satisfactory results. I'll get to the details in a moment. I wonder if it would make sense to have my own makefiles (which already exist and are doing quite a lot) produce the .tar.gz file ordinarily produced by R CMD build. As far as I can tell, R CMD build basically tars up of the project directory after running some

My docs say files ending in ~ are excluded by default from R CMD build. Doesn't look that way to me. I got them with 1.6.2 and 1.7.0. My documenation is 1.6.0 (that is, the one saying *~ is excluded). I have no .Rbuildignore of my own.

Writing R Extensions mentions that a package developer can provide a Makefile, but gives very little information about what should be in it. It says there must be a clean target, and later on there's mention of $(SHLIB): $(OBJECTS) $(SHLIB_LINK) -o $@ $(OBJECTS) $(ALL_LIBS) (in the F95 discussion). What should a Makefile provide, and what can it assume? In other words,

Hi, I would like to step-through a non-visible function. but apparently I don't know enough about namespaces to get that to work: > methods(predict) ... deleted lines ... [27] predict.rpart* predict.smooth.spline* [31] predict.survreg.penal* Non-visible functions are asterisked > debug(predict.rpart) Error: Object "predict.rpart" not found >

Noted Duncan and TRUE... I cannot do more immediately unfortunately, that is always the issue of asking a last minute panic attack question before teaching a course involving the package... I do have /doc in my .Rbuildignore for reasons I can no longer remember... I will dig and create a MRE/reprex. The students will download heavy packages, but they probably won't notice. *Apologies* In the

Hello, I just upgraded my Ubuntu Xenial system to R 3.5.1 (from 3.4.?) by changing the sources.list entry and doing an "apt-get dist-upgrade". Everything works except loading the rpart package in R: > library(rpart) Error: package or namespace load failed for ?rpart?: package ?rpart? was installed by an R version with different internals; it needs to be reinstalled for use with

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

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))) + ) >

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

? data=read.table("http://statcourse.com/research/boston.csv", , sep=",", header = TRUE) ? library(rpart) ? fit=rpart (MV~ CRIM+ZN+INDUS+CHAS+NOX+RM+AGE+DIS+RAD+TAX+ PT+B+LSTAT) predict(fit,data[4,]) plot only reveals part of the tree in contrast to the results on obtains with CART or C5 -------- Original Message -------- Subject: Re: [R] help with rpart From: Sarah

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'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

Dear all For my research, I am learning classification now. I was trying some example about classification tree pakages, such as tree and rpart, for instance, in Pima.te dataset have 8 variables (include class=type): library(rpart) library(datasets) pima.rpart <- rpart(type ~ npreg+glu+bp+skin+bmi+ped+age,data=Pima.te, method='class') plot(pima.rpart, uniform=TRUE) text(pima.rpart)