similar to: R on Linux - a primer

Hello, this might be little off-topic, but still... I have not found any official web forum for R users. Did I look good? If not, I'm sorry and shame on me! :-) Such forums are very probably the most common way to share information about all sorts of problems, to ask and get answer. See http://forums.opensuse.org/ as an example. Admins, developers, users, do You think to have such forum

Dear R-users, I've recently switched to Ubuntu and I've decided to use Kate to edit my R code. I really like how Kate allows one to simply pipe their code to the terminal. However, I would find it even better if I could actually get the Kate console to display error messages (or any console outputs in fact) in red and my input in a different color. The instance of xterm that Ubuntu

Dear R users, I know this issue came up in the list several times. I’m currently running R on 32-bit on Windows and due to memory limitation problems would like to move to a 64-bit environment. I’m exploring my options and would appreciate your expertise: 1) Windows 64-bit: Prof. Brian Ripley recently posted the experimental built of R for win 64-bit. I’ll appreciate any feedback on

I am really new with R Graphical user interfacefunctions. I am developing a software package to calculate pKa (biochemistry) but I want to make it look aesthetically pleasing and make it user friendly. I have heard that R has some GUI (Graphical user interface) and you can do some really cool stuff out there. What are the limitations and what are some resources for help. I have found a couple of

*Hi, I want to know how can I configure R in a Ubuntu to be a server. I am planning to use R in a Windows machine with Tinn-R, but I want R running at an Ubuntu Lucid machine. How can i do this? *Atenciosamente, Leandro Marino http://est.leandromarino.com.br/Blog (Estatístico) Cel.: + 55 21 9845-7707 Cel.: + 55 21 8777-7907 [[alternative HTML version deleted]]

I am creating a Slovak translation of an interactive website ( http://mazamascience.com/OilExport/index_sk.html ) and am running into problems with R's lack of support for the caron found in the following letters: Č/č, Š/š and Ž/ž. I am using R 2.6.1 running on a recent version of CentOS. Any information about whether these characters are supported or any possible workarounds would be

Hi, I am using R in Linux environment. How can i make plot in Linux just like in windows? thanks

Unbuntu 10.04 R 2.10 I am trying to install Rcmdr and receive the following messages: The downloaded packages are in ?/tmp/RtmpzhjDZG/downloaded_packages? Warning messages: 1: In install.packages("Rcmdr", dependencies = TRUE) : installation of package 'Rmpi' had non-zero exit status 2: In install.packages("Rcmdr", dependencies = TRUE) : installation of package

Hi, I?m trying to move to ubuntu at all, but I don?t like R in Ubuntu because it runs in the terminal, so i can?t access directly to some options R gots in Windows. Is there any R can i install in ubuntu which runs in hos own prompt or terminal?? Thanks ----- Mario Garrido Escudero PhD student Dpto. de Biolog?a Animal, Ecolog?a, Parasitolog?a, Edafolog?a y Qca. Agr?cola Universidad de Salamanca

Hi All, I'm planning to submit my first package to R, and although I read all the documentation, I'm not very clear on the following 2 items, from which I'd appreciate your guidance: 1)I understand it is suggested to use the R dev version to build the package. Which one specifically should I use to build a package on a Mac OS? How about package dependencies, which version should I

Hi All, I didn't have much success through my Google search in finding any active R-related projects to create a wrapper around TensorFlow in R. Anyone know if this is on the go? Thanks, Axel. [[alternative HTML version deleted]]

Hi All, I didn't have much success through my Google search in finding any active R-related projects to create a wrapper around TensorFlow in R. Anyone know if this is on the go? Thanks, Axel. [[alternative HTML version deleted]]

Dear List, The gbm package on Win 7 produces different results for the relative importance of input variables in R 32-bit relative to R 64-bit. Any idea why? Any idea which one is correct? Based on this example, it looks like the relative importance of 2 perfectly correlated predictors is "diluted" by half in 32-bit, whereas in 64-bit, one of these predictors gets all the importance

Dear List, I'm trying to solve this simple optimization problem in R. The parameters are the exponents to the matrix mm. The constraints specify that each row of the parameter matrix should sum to 1 and their product to 0. I don't understand why the constraints are not satisfied at the solution. I must be misinterpreting how to specify the constrains somehow. library(alabama) ff <-

Hello all, There is currently a (very !) lively discussions happening around the web, surrounding the following topics: 1) Is R efficient? (scripting wise, and performance wise) 2) Should R be written from scratch? 3) What should be the license of R (if it was made a new)? Very serious people have taken part in the debates so far. I hope to let you know of the places I came by, so you might be

Dear List, I'm trying to add a function that calls a Shiny App in my R package. The issue is that within my function, I'm creating objects that I'd like to pass to the app. For instance, from the example below, I'm getting "Error: object 'xs' not found". How can I pass "xs" explicitly to shinyApp()? *Under R directory:* myApp <- function(x, ...) {

Dear Axel, I've used environment for such problems. assign("xs", xs, envir = my.env) in the myApp function get("xs", envir = my.env) in the server function Best regards, ir. Thierry Onkelinx Statisticus/ Statiscian Vlaamse Overheid / Government of Flanders INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND FOREST Team Biometrie &

Dear list, For a reason it would take me long to explain, I need to do something along the lines of what's shown below -- i.e., create an object from dplyr::summarise, and then evaluate it on a data frame. I know I could directly do: df %>% dplyr::summarise(x1_mean = mean(x1)) but this is not what I'm looking for. library(dplyr) df <- data.frame(x1 = rnorm(100), x2 =

Dear List, This is an embarrassing question, but I can seem to make this work…How do I change the font size on the xlab and on the numbers shown in the x-axis on the time series plot below. The arguments cex.lab and cex.axis do not seem to be 'passing' to the plot function. plot(ts(rnorm(100), start=2004, freq=12), ylab="RQI", xlab="My X lab",

Dear List, I have a wrapper function that creates a Shiny App, as illustrated below. I'd like to include the function myApp() inside a package. I'd appreciate your guidance here, as I could not find good instructions on this online. myApp <- function(x) { require(shiny) shinyApp( ui = fluidPage( sidebarLayout( sidebarPanel(sliderInput("n",