similar to: checking whether the name space can be loaded with stated dependencies

Hi all, When installing ggplot2 on with install.packages("ggplot2", dep = T), the colorspace dependency doesn't get installed (see below for transcript from R session). The relevant lines from my description file are: Depends: R (>= 2.4), grid, reshape (>= 0.8.0), proto, splines, MASS, RColorBrewer, colorspace Suggests: quantreg, Hmisc, mapproj, maps Have I done something

I've just updated to the latest R (2.14.2) on my Ubuntu Lucid box, and now the ggplot2 installed as a .deb package fails to work. $ R -e 'library(ggplot2)' Error in library(pkg, character.only = TRUE, logical.return = TRUE, lib.loc = lib.loc) : package ?proto? does not have a NAMESPACE and should be re-installed Calls: library -> .getRequiredPackages2 -> library Execution

A simple way to alias a function is to do : g <- function(a = 1, b = 2, c = 3) a + b * c f <- function(...) g(...) but formals (etc) is no longer very helpful. Is there an easy way to programmatically create: f <- function(a=1, b=2, c=3) g(a=a, b=b, c=c) This comes up in ggplot2 where I alias many functions to hide the fact that I'm using proto in the background, and I'd like

Dear all, In mucking around with ggplot2, I've hit the following snag, library(ggplot2) # this returns a grob, OK GeomAbline$icon() # lines[GRID.lines.9] # this returns the function icon, OK GeomAbline$icon # proto method (instantiated with ): function (.) # linesGrob(c(0, 1), c(0.2, 0.8)) # <environment: 0x13e6800> Now I want to wrap this in a function, getIcon <-

Using R 2.13.1, I am now getting the following NOTE when I run R CMD check on my HistData package * checking for unstated dependencies in examples ... NOTE 'library' or 'require' calls not declared from: gplots sp Under R 2.12.x, I didn't get these notes. I have ~ 25 .Rd files in this package, and AFAICS, every example uses library or require for the functions used;

Dear all, ggplot currently requires 13 packages (grid, reshape, RColorBrewer, proto, splines, MASS, Hmisc, boot, butler, hexbin, mapproj, quantreg, sm). Some of these are absolutely necessary (eg. proto), but most are used for one or two specific tasks (eg. boot is only used to get plogis, used for logit scales). Do you think I should make them all "depends" packages, or

I have a script running in the StatET Eclipse environment that executes the ggplot2 command qplot in a function: # Creates the plot createPlot <- function(){ print("Lets plot!") qplot(1:10, letters[1:10]) } When executing the qplot line directly, it works. When executing the script it does not open a window and it it does not plot. Is there something important I have forgotten? I

Hi. I would like to know how to start an embedded R session, and avoid datasets and the standard library packages to be loaded on startup. I've been looking at littler's code (so this is partly a question to Dirk Eddelbuettel...): > /* We don't require() default packages upon startup; rather, we > * set up delayedAssign's instead. see autoloads(). >

Hi All Please see the Rprofile file which i have modified as follows and after that when I start R then I see that R says to me "TRUE" for all the packages implying that all loaded at once. But when i try to use commands as simple as help("lm"), it doesnt work nor any of the menu "Packages" is not working. Although the regression using lm ( Y ~ X ) is working

I have just upgraded to R 2.13 and have library(ggplot2) in my .Rprofile (among other things). when i start R I get an error message. Has something in the start up scripts changed? Is there a better way to specify the library calls in .Rprofile? Thanks for all of the help in advance. Error: Loading required package: grid Loading required package: proto Error in rename(x, .base_to_ggplot) :

Hi, I am interested in customizing the installation of R. I have gone through the ?R Installation and Administration? manual. But some of the stuff is not clear to me and I would like to get clarifications on the following points (for a Windows installation with R_HOME=C:\\R\\R-2.9.1 ) : 1. I understand that I need to create a file, .Renviron with the following path : R_HOME\\etc\\.Renviron where

Thank you Dan but it isn't my tests that are failing (all of them pass without problem) but one of the examples from the inst/examples directory. I did try, however, to start R with the environmental variables as you suggest but it had no effect on my tests. Charles On Wed, May 13, 2015 at 1:51 PM, Dan Tenenbaum <dtenenba at fredhutch.org> wrote: > > > ----- Original Message

Greetings, I am collaborating with developing the bigmemory package and have run in to a strange problem when we run R CMD CHECK. For some reason that isn't clear to us one of the examples crashes stating: Error: memory could not be allocated for instance of type big.matrix You can see the output on the Travis CI page at https://travis-ci.org/kaneplusplus/bigmemory where the error starts

I understand why the following happens ($.proto delegates to get, which ascends the parent hierarchy up to globalenv()), but I still find it anti-intuitive: > z <- 1 > y <- proto(a=2) > y$z [1] 1 Although this is well-documented behavior; wouldn't it uphold the principle of least surprise to inherit instead from baseenv() or emptyenv()? (See attached patch.) Spurious

Dear all, I have been using the proto package to create objects with mutable state for my ggplot package. This has been very successful so far, but I have run into a problem when building/installing the package, because the source files need to be loaded in a specific order so that dependencies are initialised correctly. I have named the files so that dependencies are loaded before they are

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 The lmer() function in the lme4 package has some code of the form mc <- match.call() mc[[1]] <- as.name("lFormula") lmod <- eval(mc, parent.frame(1L)) this is a fairly common idiom in R, found e.g. in lm(), used when one wants to pass all of the arguments of a function to a different function (in the case of lm() it's

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Encountered an error in scripting, which can be reproduced using Rscript as follows: $ Rscript -e "library(httr); handle('http://cran.r-project.org')" Error in getCurlHandle(cookiefile = cookie_path, .defaults = list()) : could not find function "getClass" Calls: handle -> getCurlHandle or by starting R without the methods package attached: $

On Wed, Apr 29, 2015 at 12:53 PM, Winston Chang <winstonchang1 at gmail.com> wrote: > On Tue, Apr 28, 2015 at 3:04 PM, G?bor Cs?rdi <csardi.gabor at gmail.com> > wrote: > > > > > > E.g. if package 'ggplot2' uses 'stats::density()', and package 'igraph' > > also defines 'density()', and 'igraph' is on the search

For example, prepare like this > df.0 <- data.frame(x = 0, y = 0, note = "1") > df.1 <- subset(df.0, note == "1") > df.2 <- subset(df.0, note == "2") Then a call to > ggplot() + aes(x = x, y = y) + > geom_point(data = df.1) + geom_point(data = df.2) produces the error > Error in eval(expr, envir, enclos) : object 'x' not found