similar to: Problems with checking documentation vs data, and a proposal

This is rw2010 from CRAN. When running Rcmd check on a package I get: Warning in utils::data(list = al, envir = data_env) : data set 'vowel.test' not found Warning in utils::data(list = al, envir = data_env) : data set 'vowel.train' not found Warning in utils::data(list = al, envir = data_env) : data set 'waveform.test' not found Warning in utils::data(list

This is rw2010 from CRAN. When running Rcmd check on a package I get: Warning in utils::data(list = al, envir = data_env) : data set 'vowel.test' not found Warning in utils::data(list = al, envir = data_env) : data set 'vowel.train' not found Warning in utils::data(list = al, envir = data_env) : data set 'waveform.test' not found Warning in utils::data(list

I can't tell from the docs ("Writing R Extensions" 1.9.1) exactly what environment the tests, examples, and vignettes that R CMD check tries to run are in. In particular: 1) how do I get the package loaded? 2) how do I access data in the data/ directory? 3) where is the material in the other directories? (e.g., has inst/ material been installed? where?) Apparently (section 1.3)

Hi, this relates to the question "How to set a former environment?" asked yesterday. What is the best way to to return a function with a minimal environment from a function? Here is a dummy example: foo <- function(huge) { scale <- mean(huge) function(x) { scale * x } } fcn <- foo(1:10e5) The problem with this approach is that the environment of 'fcn' does not

Hello. What happens in the following is that I create two simple functions, f and g, on the workspace. Then I replace g. When I then call f, it uses the old version of g. Now clearly, the circumstances for this to happen must be quite special and rare. But I'd say they're not pathological. It seems to require two things: 1) masked versions of f and g on a search position lower down the

Hi developers, After some investigation I have found there can be large discrepancies in the same object being saved as an external "xx.RData" file. The immediate repercussion of this is the possible increased size of your .RData workspace for no apparent reason. The function and its three scenarios below highlight these discrepancies. Note that the object being returned is exactly

Hi [R-2.10.0; suse linux] I am having difficulty creating S4 objects in the data directory of a package. I want to create a bunch of simple S4 objects for use in the examples section of the Rd files. It says in R-exts that: " R code should be ?self-sufficient? and not make use of extra functionality provided by the package, so that the data file can also be used without having to load

Full_Name: Alberto Gaidys Version: 2.9.0 OS: Mac OS X 10.5.7 Submission from: (NULL) (201.81.185.155) When calling LM or GLM from within a function, R gives a message error that it can't find the specified weights object "Erro em eval(expr, envir, enclos) : objeto 'W' n?o encontrado" (Error in eval(expr, envir, enclos) : object 'W' not found). The call from within

Sorry for the cross-post. Not sure where the problem is... A while back I posted an R function to R-help: cd <- function (dir = tclvalue(tkchooseDirectory()), saveOld = FALSE, loadNew = TRUE) { stopifnot(require(tcltk)) if (saveOld) save.image(compress = TRUE) setwd(dir) rm(list = ls(all = TRUE, envir = .GlobalEnv), envir = .GlobalEnv) if (loadNew &&

hello all, when I start up the R and I execute o follow code: > ls() character(0) > x=123 > assign("test_x", x, envir = .GlobalEnv ) > ls() [1] "test_x" "x" > setwd('C:\\R\\etc') > save.image('TEST.RData') > q('no') I have two different behaviours: (a) - when I start up R again by "double click" in

Dear list, I've had difficulty saving my workspace to an .RData file. This causes considerable frustration as it means that I have to regenerate my analysis every time I want to update it. For microarray data in particular, this can be quite time consuming. I'm saving my data to a network folder on my system in Windows XP, something like an "H:\" drive or a "P:\"

Summary: patch to add environment parameter to load() to allow -------- specification of destination environment. --> Patch against R 0.63.2 appended at end of this message. <-- Story: ------ I've been running some rather long MCMC chains, which occasionally crash, either due to an "Invalid tag in name extraction" error, or due to the machine going down. (I'm playing

This happened to me with R-1.7.0, Linux RH9: ------------------------------------------------------------------ > q() Save workspace image? [y/n/c]: y Warning messages: 1: namespaces may not be available when loading 2: names in persistent strings are currently ignored gb at lasker:~/R/test$ R R : Copyright 2003, The R Development Core Team Version 1.7.0 (2003-04-16) R is free software

Help! I am a new R user. It has been slow getting up to speed, but definitely rewarding. I have come up against a problem I can't handle. I would very much appreciate any help. I am writing a vector auto regression (VAR) function that utilizes existing R statistical functions. I would like to use the step function to do step-wise elimination on each univariate time series model. No

I hope others may find this useful. I use R in many different directories. By adding the following line to the .Rprofile file: utils:::setWindowTitle(paste("-",getwd())) the titlebar of each R instance shows the directory from which it was started. I have tested this with rterm.exe and rgui.exe under Windows and with RECENT versions of R only. ----- For changing directories

Hi, I ran a program that was exhausting the (unix) server's available memory. I got a bus error and then chose to save and quit workspace (option 4). That may not have been a smart idea - when I try to use R now, I get the error message: Error in load(name, envir = .GlobalEnv) : ReadItem: unknown type 0, perhaps written by later version of R Fatal error: unable to restore saved data in

Hello, I am using R-2.4.1 with Rattle() i load Rdata (ttData) which has 2columns and 66 rows When i execute Explore under GGobi for visualization i am facing the problem, ---- libggobi-0.dll not found ---libggobi-0.dll was not found.... reinstalling the application may fix the problem i try install.packages("rggobi") its been installed from CRAN however when i use it from rattle()

Wolski wrote: #>>>Has anyone a tool which is able to generate from #>>>#appropriately commented R-code files (e.g. <<example>>= #>>>#-example section) Rd files: Mark Bravington mentioned something similar in the 'mvbutils' package: Wolski wrote: # # #Hi! # #Is it working with S4? Mark's reply: Don't know whether it works with S4

During R CMD check I get this: ** building package indices ... Error in eval(expr, envir, enclos) : could not find function "readingError" Execution halted ERROR: installing package indices failed The check aborts there. readingError is a function I just added; for reference setClass("readingError", contains="matrix") readingError <- function(...)

I'm working on a problem where I'm introducing random error and have been using the built in function runif to provide that random error. However, I realized that I seem to be getting some unexpected behavior out of the function and was hoping someone could share some insight. I don't know the runif algorithm at all, but from the behavior I'm seeing, it seems that whenever I open