similar to: R en Jupyter Lab, error al cargar dplyr: "namespace 'rlang' 0.3.4 is being loaded, but >= 0.4.0 is required"

In a newly downloaded version (today) of R-2-4-0alpha, with all packages from CRAN also installed today, I get: > library(Matrix) Erro en loadNamespace(package, c(which.lib.loc, lib.loc), keep.source = keep.source) : in 'Matrix' methods specified for export, but none defined: BIC, anova, coef, confint, deviance, fitted, fixef, formula, head, lmer, logLik, mcmcsamp, plot,

I am trying to compile R under a new setup, and frankly, I have had a lot of problems, but I think the stuff below points to a possible bug in R's (custom) configure checks for C++11/14/17, but not for C++98. This is a report about R from the R-3-6 branch, with a svn checkout from today, revision r77135. In my case the compiler name is x86_64-conda_cos6-linux-gnu-g++, not g++. I denote this

Javier Muchas gracias por su respuesta Aunque no está funcionando, pues si ejecuto: EncDTE1<- t.EncDTE1[ !is.na(t.EncDTE1$Var1),] obtengo Var1, Var2, Var3,...Varn con datos "texto", NA, NA....NA Pero al ejecutar EncDTE1<- t.EncDTE1[ !is.na(t.EncDTE1$Var2),] obtengo Var1, Var2, Var3,...Varn con datos NA,"texto", NA....NA Estoy tratando de dar la vuelta con el loop

Dear R Developers, I am having an issue with the renv package and R 4.0.1, which I suspect is related to base R and not the renv package itself, as with R 3.6.3 such an "error" does not appear. The error is raised by a file.exists() path, and path "C:\Users\J-tel\Documents", which in R 3.6.3 is read correctly, but in R 4.0.1 fails (Probably because of the "-"

Hello R Community, 'JuniperKernel' is a new package that provides a 'Jupyter' kernel implementation. This package is the first C++ 'Jupyter' kernel to exist in CRAN. Its architecture differs from incumbent R kernels in novel ways that allow for streaming I/O and full support of 'Jupyter' extensions. I would be grateful for any feedback! Happy Holidays, Spencer

Hello R Community, 'JuniperKernel' is a new package that provides a 'Jupyter' kernel implementation. This package is the first C++ 'Jupyter' kernel to exist in CRAN. Its architecture differs from incumbent R kernels in novel ways that allow for streaming I/O and full support of 'Jupyter' extensions. I would be grateful for any feedback! Happy Holidays, Spencer

Jorge Gracias por el consejo. Aparentemente no lo estoy aplicando bien, pues el objeto que obtengo no contiene lo que quiero. Me explico, al ejecutar txt <- vector('list', length = length(names)) #names el el vector donde ya tenía almacenada la lista de txt's for(i in seq_along(txt)){ txt[[i]] <- Corpus(VectorSource(names[i])) } obtengo el objeto txt: > class(txt) [1]

Hola Consulto por un problema que no consigo resolver. Tengo un dataframe con muchas columnas todas de texto. Cada columna tiene solamente un valor válido y el resto son NAs. También cada fila tiene un único valor válido. Quiero colapsar ese data frame en uno que tenga solamente una fila y todas las columnas. Intenté con loops, while, apply y otros parecidos pero no lo logro El ejemplo del

Jorge, estimados colaboradores de R-help Estuve tratando de utilizar un script para uno de los pasos en mi análisis, que es transformar cada uno de los corpus en mi espacio de trabajo en un objeto TermDocumentMatrix Tengo un vector llamado bNames que lista todos los corpus que quiero pasar a TDM, y construí los siguientes comandos: tdm.n1 <- vector('list', length = length(bNames))

Hola, Quizás no es el ámbito más apropiado, pero vale la pena intentar. ¿Existe alguna implementación en R del modelo de reglas de asociación que pueda realizar el cálculo en paralelo sobre un cluster Hadoop? He visto los paquetes que 'paralelizan' R, pero no mencionan nada acerca de modelos de reglas de asociación. Saludos -- Oscar Benitez [[alternative HTML version deleted]]

Hi Tomas, I received a report about R 4.0.0 in the knitr package (https://github.com/yihui/knitr/issues/1840), and I think it is related to the issue here. I created a minimal reproducible example below: owd = setwd(tempdir()) z = 'K\u00e4sch.txt' file.create(z) list.files() file.exists(list.files()) setwd(owd) Output: > owd = setwd(tempdir()) > z = 'K\u00e4sch.txt' >

Hola a todos! Estoy en un proyecto de text mining y por razones de los recursos con que cuento tuve que separar los archivos de texto de input del proyecto en muchos archivos pequeños. Luego de transformar cada uno de estos archivos en un corpus separado, puedo aplicar limpieza sobre cada corpus, buscar n-gramas, construir cada termDocumentMatrix y finalmente reunir todo en una sola TDM. Pero

Anyone familiar with this? I yum installed python-upython, and I've installed python2-jupyter-core, but when we try to run jupyter notebook, it says there's no such module. So I try to pip install notebook, I get Collecting ipython>=4.0.0 (from ipykernel->notebook) Downloading

Motivation === Over the last decade we have developed an interactive, interpretative C++ (aka REPL) as part of the high-energy physics (HEP) data analysis project -- ROOT [1-2]. We invested a significant  effort to replace the CINT C++ interpreter with a newly implemented REPL based on llvm -- cling [3]. The cling infrastructure is a core component of the data analysis framework of ROOT and

I like cling, and having it integrated with the rest of the project would be neat. I agree with Hal’s suggestion to explain the design of what remains. It sounds like a pretty small amount of code. > On Jul 9, 2020, at 7:25 PM, Hal Finkel via cfe-dev <cfe-dev at lists.llvm.org> wrote: > > I think that it would be great to have infrastructure for incremental C++ compilation,

On 7/10/20 1:57 PM, Vassil Vassilev wrote: > On 7/10/20 6:43 AM, JF Bastien wrote: >> I like cling, and having it integrated with the rest of the project >> would be neat. I agree with Hal’s suggestion to explain the design of >> what remains. It sounds like a pretty small amount of code. > > >   JF, Hal, did you mean you want a design document of how cling in >

Stephen John Smoogen wrote: > On Wed, 5 Sep 2018 at 16:13, mark <m.roth at 5-cent.us> wrote: > >> Anyone familiar with this? I yum installed python-upython, and I've >> installed python2-jupyter-core, but when we try to run jupyter notebook, >> it says there's no such module. So I try to pip install notebook, I >> get Collecting ipython>=4.0.0 (from

Dear R Community Members, I would like to add to one article I have written the best Graphical User Interfaces the R programming language has. For the moment I know: A) Rstudio. B) R Tools for Visual Studio. C) Open Analytics Architect. Are there others worth to mention? Thank you. Kind regards, Juan Telleria [[alternative HTML version deleted]]

On Dec 13, 2017 6:05 AM, "Juan Telleria" <jtelleriar at gmail.com> wrote: Dear R Community Members, I would like to add to one article I have written the best Graphical User Interfaces the R programming language has. For the moment I know: A) Rstudio. B) R Tools for Visual Studio. C) Open Analytics Architect. Many editors have plugins for working with R, including D) ESS for

Hi Richard, On 7/10/20 11:10 PM, Richard Smith wrote: > Hi Vassil, > > This is a very exciting proposal that I can imagine bringing important > benefits to the existing cling users and also to the clang user and > developer community. Thank you for all the work you and your team have > done on cling so far and for offering to bring that work under the > LLVM umbrella!