similar to: R CMD install runs out of memory

Hi all, Am I using the correct syntax to set a custom R_LIBS when running R CMD INSTALL from the command line? I get: R_LIBS=/Users/hadley/R-dev R CMD INSTALL aL3xa-rapport-08e68ca/ # Desktop : R_LIBS=/Users/hadley/R-dev R CMD INSTALL aL3xa-rapport-08e68ca/ # * installing to library ?/Users/hadley/R? # ERROR: dependency ?ascii? is not available for package ?rapport? But: ls

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

Hello, I am a beginner with ggplot and after doing simple graphs (histogram, segments etc.) some questions came up: 1) I tried to do a histogram, but nothing is displayed although it works with another vector. I think it is because of the very small values (n=1000, min=1.222e-24 max, 1.890e-20). I used qplot(variable,geom="histogram")... If do it with the standard plot function it

Hi Ian, Per your suggestion, I reinstalled R 2.9.0, then I reinstalled ggplot2 on top. The problem persists. Here's the what happens after the installation: > qplot (carat, price, data = diamonds, alpha = I(1/10)) Warning message: In grid.Call.graphics("L_points", x$x, x$y, x$pch, x$size) : semi-transparency is not supported on this device: reported only once per

Hi Hadley: I'm practicing writing a document using MikTex but can't make qplot to execute. It works when using 'plot' though. Is this a normal behaviour? \documentclass[9pt]{article} \title{ggplot2 example} \begin{document} \maketitle \section*{Examples of using ggplot2} The goal is to be able to import ggplot2 graphics into the annual report. Hadley Wickham has done a great

Am I missing something obvious on how to draw multi-line plots in base graphics? In ggplot2, I can do: data(Oxboys, package = "nlme") library(ggplot2) qplot(age, height, data = Oxboys, geom = "line", group = Subject) But in base graphics, the best I can come up with is this: with(Oxboys, plot(age, height, type = "n")) lapply(split(Oxboys[c("age",

Hi all, I frequently find that I've failed to export something in my NAMESPACE and hence my package doesn't work when it's imported into another package. Does anyone have suggestion for debugging this type of problem? R CMD check passes without any ns related errors on both the importee and the importer. I've attached a reproducible example - if you install the development

Hi: I am practicing with the attached shapefile and was wondering if I can get some help. Haven't used 'rgdal' and 'maptools' much but it appears to be a great way bring map data into R. Please take a look at the comments and let me know if I need to explain better what I am trying to accomplish. library(rgdal) library(maptools) library(ggplot2) dsn="C:/Documents and

> replicate(1000, {dev.new(); dev.off()}) R(83204,0xacdc1a28) malloc: *** mmap(size=16777216) failed (error code=12) *** error: can't allocate region *** set a breakpoint in malloc_error_break to debug R(83204,0xacdc1a28) malloc: *** mmap(size=16777216) failed (error code=12) *** error: can't allocate region *** set a breakpoint in malloc_error_break to debug ... *** caught bus error

Hi all, The profr package provides a method for displaying its output with ggplot: ggplot.print. You don't need this ggplot2 to use profr, so ggplot2 is listed under enhances in the DESCRIPTION file. If I have just S3method(ggplot, profr) in my NAMESPACE, then I get: ** testing if installed package can be loaded Error : object 'ggplot' not found whilst loading namespace

You will need to coerce your data into a "spatial" kind, as implemented in `sp` or as of late, `sf` packages. You might want to give the vignettes a whirl before you proceed. Roughly, you will have to coerce the data to Spatial* (you could go for a point, raster or grid type, I think) and also specify the projection. Once you have that, plotting should be handled by packages. Here are a

Hi, I am making myself familiar with ggplot2 (I really like the examples at <http://had.co.nz/ggplot2/>). One thing that really annoys me is the default use of white grid lines and a gray background [1, 2]. I simply would like to have black grid lines and a white background. No problem, I thought, "This is R. There is no if. Only how." (fortune("Simon Blomberg")).

I am thinking about adding several geom and stat extensions to ggplot2 in the Hmisc package. To do this requires using non-exported ggplot2 functions as discussed in http://stackoverflow.com/questions/18108406/creating-a-custom-stat-object-in-ggplot2 If I use the needed ggplot2::: notation the package will no longer pass CRAN checks. Does anyone know of a solution? I'm assuming that

Dear R-list I'm working with with geom_errorbar; specifically I'm trying to reproduce the example Hadley Wickham have on http://had.co.nz/ggplot2/geom_errorbar.html (all in the button of the page) where he makes an nice plot with errorbars and then draw lines between the points. What confuses me is the 'limits' he defines for the errorbars from the se variable. First he creates

Hi all, I'm smoothly transferring my lattice graphs to ggplot2 graphs, but I'm stuck on representing a curve from a formula. I'm looking for the equivalent of curve() in ggplot2, Hadley Wickham mentions geom_curve, but as far as I've seen in the help it doesn't exist. My need is to plot a regular scatter plot of experimental data (easy to do actually) and then add the

Like this? # example using qplot library(ggplot2) meanprice <- tapply(diamonds$price, diamonds$cut, mean);meanprice cut <- factor(levels(diamonds$cut), levels = levels(diamonds$cut)) qplot(cut, meanprice, geom="bar", stat="identity", fill = I("grey50")) dev.new() # create a new graph to compare with qplot # Example using ggplot ggdata <-

On Wed, Apr 29, 2015 at 1:45 PM, Gabriel Becker <gmbecker at ucdavis.edu> wrote: > Gabor, > > To play devil's advocate a bit, why not just have the package formally > import the functions it wants to use (or the whole package if that is > easier)? > This is exactly my goal. And to facilitate this, R CMD check could remind you if you forgot to do the formal import.

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

Hi all, Very surprising (to me!) and mystifying result from predict.glm(): the predictions vary depending on whether or not I use ns() or splines::ns(). Reprex follows: library(splines) set.seed(12345) dat <- data.frame(claim = rbinom(1000, 1, 0.5)) mns <- c(3.4, 3.6) sds <- c(0.24, 0.35) dat$wind <- exp(rnorm(nrow(dat), mean = mns[dat$claim + 1], sd = sds[dat$claim + 1])) dat <-

Does anyone (Hadley??) know if there's a straightforward way in ggplot2 to get data divided by a single factor to plot as a rectangular grid of subplots? So far I've only been able to get such data plotted as a single row or single column of skinny subplots. The code below gives an example implemented with lattice, and my best attempt in ggplot2 cheers Ben Bolker ------------ g=