similar to: Different axis limits for each facet in ggplot2

A seemingly simple problem has me stumped. Is it possible to choose the number of colour breaks for a gradient scale in the current version of ggplot2? Here is a simple example: --------------------------------------------- x=-10:10 y=-10:10 dat=expand.grid(x=x,y=y) dat$z=dat$x^2+dat$y^2-100 ggplot(dat, mapping=aes(x=x, y=y, fill=z)) + geom_tile() + scale_fill_gradient2()

Hi, new to R and ggplot2. I've been trying to get a facet plot in which the order of the facets is as I require, rather than ordered numerically, alphabetically, by Roman numerals, mean (answers to these were posted here after much searching). Here's some test code to demonstrate what I get. series = c('C2','C4','C8','C10','C15','C20') ids =

I'm using the 'cloud' function in the 'lattice' package to produce multi-panel 3D scatter plots. The range of the values used vary much between each panel (especially on the z axis), so I wish the axis limits to be calculated based on the (conditional) data. Here's a minimal example: library(lattice) z=1:200 x=runif(200) y=runif(200) s=factor(rep(c(1,2),each=100))

just a quick question (to which I suspect the answer is "no"): does anyone know if, in the ggplot2 package, there's a way to override the default names of the facets in facet_wrap (which correspond to the levels of the factor used to facet)? I know that I go back and change the levels of the factor, but it would be convenient to be able to supply a vector of level names at the time

I believe I have found a bug (or at least a misfeature) in plot.POSIXct. See the following example code. set.seed(1) x=seq(1,1e8,length=100)+round(runif(100)*1e8) y=as.POSIXct(x,origin="2001-01-01") plot(y) This plots some random (date)times against their indices. The y axis correctly shows appropriate values (years), but the x axis contains the single number '59:58' in the

I'm running into some problems with the spacing of some faceted ggplot plots. I have a number of time series faceted to be one above another, but the scale labels of the y axes all clobber each other at the bottom/top of each. for example, try: qplot(x, y, data = data.frame(x = 1:10, y = 1:10, size = 1:10), facets = size ~ ., size = size) + scale_x_continuous(breaks = 1:10) +

Dear list members, I can't figure out how get 'xyplot' or 'dotplot' in the 'lattice' package to respect the 'lwd' value for specifying the border with for *symbols* (for lines it works fine). Example: ----- # Base graphics works fine (gives a 'fat? circle) plot(5, cex=10, pch=21, lwd=10) # But 'xyplot' or 'dotplot' doesn't

Hello, I am plotting many histograms together using facet_grid in ggplot2. However, I want to then add a vertical line to each histogram, or facet, each of which vertical lines are at different x-values. The following example adds all vertical lines to each facet: ggplot(data,aes(values)) + geom_histogram() + facet_grid(.~variable) + geom_vline(xintercept=c(5,10,15)) How can I add a vertical

Hello, I'd like to produce a ggplot where the order of factors within facets is based on the average of another variable. Here's a reproducible example. My problem is that the factors are ordered similarly in both facets. I would like to have, within each facet of `f1', boxplots for 'x' within each factor `f2', where the boxplots are ordered based on the average of x

R version 2.7.0 RC (2008-04-20 r45403) When using semi-transparent filled plotting symbols, the border of the symbol has a different (darker) colour than the interior: plot(0, 0, pch=19, col="#FF000022") (Saving this as a PDF and looking at it magnified may make it easier to see.) This is pretty annoying, since when plotting partially overlapping points, the border colour dominates,

Dear list members, I recall seeing a convenience function for applying multiple functions to one object (i.e., almost the opposite of 'mapply?) somewhere. Example: If the function was named ?fun? the output of fun(3.14, mode, typeof, class) would be identical to the output of c(mode(3.14), typeof(3.14), class(3.14)) Is my memory failing me, or does such a function already exists in a

I'm having a problem where I have to apply a function to a subset of a variable, where the subset is defined by the n nearest neighbours of a second variable. Here's an example applied to the 'iris' dataset: $ head(iris) Sepal.Length Sepal.Width Petal.Length Petal.Width Species 1 5.1 3.5 1.4 0.2 setosa 2 4.9 3.0 1.4

Dear list members I'm using CairoPDF to generate PDF (because of its font embedding and support for transparent colours). However, at least on my (Windows) system, the text it outputs seems to have completely wrong kerning. Here's an example: CairoPDF("test.pdf") plot(rnorm(100),xlab="Ovreset") dev.off() The v is (slightly) too far away from the O, it's much

Faceting in ggplot2 seems to permit different scales for different facets, but I fail to see how one could control ylim and xlim ranges for each facet separately. For instance, I would like to set the ylim = c(0,10) for facet "A" and ylim = c(42,102) for facet "B". Since the data is out of these ranges, setting facet_grid(factor ~ ., scales = "free_y") does not

When discussing statistics in e-mail based discussion groups, or in newsgroups, it is sometimes useful to include simple, text-based statistical graphics. Here is an example, a histogram (only useful with a fixed-width font, obviously). :..... ..:::::::::. .:::::::::::::::

Hi R-helpers! Here is my problem: I have a graph with 3 different facets where there are 3 different regression line. My goal is to mention separately in each facet each equation that describes my lines. So far, I managed to add a line and the same equation to all my facets but that's not unfortunately what I want. Is there a way to do that? Any suggestion would be gladly welcome! Thanks

Dear list members I have a rather large vector (part of a data frame) giving the time (date + time, POSIXct) of observations. The times are irregular (with both small and large jumps) but increasing, and there are several millions of them. I now wish to reduce my data set, so that I only have observations which are at least (for example) 60 seconds apart. Basically, I need (all) the indices

Does anybody know of a function that implements the derivative (gradient) of the multivariate normal density with respect to the *parameters*? It?s easy enough to implement myself, but I?d like to avoid reinventing the wheel (with some bugs) if possible. Here?s a simple example of the result I?d like, using numerical differentiation: library(mvtnorm) library(numDeriv) f=function(pars, xx, yy)

Hi, I've run into a difficulty with qplot function (in the ggplot2 package). I can facet histograms even when the faceting variable contains missing values, but only so long as the faceting variable is not a factor. Example: y1 <- rnorm(10) x1 <- c(rep(1,5), rep(2,4), NA) x2 <- factor(c(rep(1,5), rep(2,4), NA)) library(ggplot2) qplot(y1, geom = "histogram", facets =

Anybody know of a tool for cutting/trimming Ogg Vorbis files? I'm thinking of a tool similar to (the excellent) mp3DirectCut "http://www.rz.uni-frankfurt.de/~pesch/#mp3dc" tool, only for Vorbis. I've tried musiCutter, but it's to difficult/time-consuming to use. BTW, the mp3DirectCut author says this in his FAQ: Can you add Ogg Vorbis support? I would,