similar to: problem plotting with ggplot2

Hi, i get no success change the title of the "fill" (colour) legend and the defintion of "levels". Have anybody a hint how i can do this. df <- data.frame(variable=sample(c("A","B","C"),1000,replace=T,prob=c(0.22,0.28,0.5)),group=gl(2,500)) p <- ggplot(df, aes(x = variable)) p + geom_histogram(aes(y= ..count.. /

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=

Hello all-- I'm attempting to produce overlaid histograms with partially transparent columns. Whether this display will end up being useful, I can't say. But I do want to get it right. I've already got one solution (shown below), but I tried some other versions and had questions about my results. (Note: I'm using a quartz device, so transparency shows up correctly. You might

I'm trying to overlay two histograms using transparency to enable viewing of multiple distributions on a single scale. So far ggplot2 seems to do what I want. However I'm having a problem generating the legend coloring appropriate to each distribution in the plot. Here is a test case to show my best (failed) effort so far: library(ggplot2) x <- data.frame(X=rnorm(1000, mean=0)) y

Dear ggplot2 users, is there an easy/elegant way to suppress zero count bars in histograms with logarithmic y axis ? One (made up) example would be qplot(exp(rnorm(1000))) + geom_histogram(colour = "cornsilk", fill = "darkblue") + scale_x_sqrt() + scale_y_log10() Thanks! Markus [[alternative HTML version deleted]]

It appears I broke ggplot in my script, but that maybe it is because the caffeine has worn off or maybe it is late in the day.   I thought I was beginning to understand ggplot, but I have encountered a silly little issue.   For some reason the following does not produce a histogram with fill due to the Person's characteristics: (Note that VADeaths_flat_df$Data works fine...)    

I'm learning ggplot and am a little confused. Sometimes discrete scales work like I'd expect, and sometimes they don't. For example... This works exactly like one would expect: df<-data.frame(names=c("Bob","Mary","Joe","Bob","Bob")) ggplot(df,aes(names))+geom_histogram() But this yields an error:

Hello all, I have a peculiar and particular bug that I stumbled across with ggplot2. I cannot seem to replicate it with anything other than my specific data set. Here is the problem: - when I try to plot a histogram, allowing for ggplot2 to decide the binwidths itself, I get the following error: - stat_bin: binwidth defaulted to range/30. Use 'binwidth = x' to

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

Hola. Tengo 4 gráficos: a <- qqnorm(total$ImpTotal) #con lattice y b, c y d son variaciones de este tipo?, creados con ggplot2: ?b <- g <- ggplot(data = total, aes(x=ImpTotal, fill=Convenio)) g + geom_histogram(binwidth = 90) ? Los quiero representar de la forma: par(mfrow=c(2,2)) a b c d Pero los que crea con ggplot2 aparecen en par(mfrow=c(1,1)), es decir: ignora la instrucción.

I am learning ggplot2 commands and I have figured out how to create histograms and density curves but I am not sure how to add a density curve on top of a histogram. Here are the two graphs that I created. ## Histogram t<-rnorm(500) w<-qplot(t, main="Normal Random Sample", fill=I("blue"), colour=I("black"), geom="histogram") w ##Density Curve

Hi all, How can I overlay these two histograms? ggplot(gg, aes(gg$Alz, fill = gg$veg)) + geom_histogram(alpha = 0.2) ggplot(tt, aes(tt$Cont, fill = tt$veg)) + geom_histogram(alpha = 0.2) thanks for any help! Elahe

Hallo I am not familiar with any of packages you use (except of MASS and ggplot2) and the code is too complicated without any hint where the error could come from and what is the message you get. I wonder if anybody would like to go through your whole code. 1. data seems to be read correctly ICUData <- read.csv(file = "ICUData.csv", stringsAsFactors = TRUE) ICUData.neuro <-

Hi, I have a histogram.But I need seperate colours for fixed range of values.for eg. between 2-3 on the x axis a colour.3-4 another colour etc. and the legend has to say what each colour is.How can this be done in geom_histogram? -- Rajesh.J [[alternative HTML version deleted]]

Dear List, today I turn to you with a next problem. I'm trying to compare species richness between various datasets (locations) using species accumulation curves (Chapter 4, page 54 in Tree diversity analysis<http://www.worldagroforestry.org/treesandmarkets/tree_diversity_analysis.asp>by Kindt & Coe). To accomplish this I'm using package BiodiversityR. My data is comprised of

Hi With ggplot2 I can very easily create beautiful histograms but I would like to put two histograms on the same plot. The histograms may be over-lapping. When they are overlapping the bars are shown on top of each other (so that the overall height is the sum of the two). Is there any way to get them to display overlapping (with smaller value in front, larger value behind) so that the overall

Currently, I am doing it this way. x <- mtcars$mpg h<-hist(x, breaks=10, col="red", xlab="Miles Per Gallon", main="Histogram with Normal Curve") xfit<-seq(min(x),max(x),length=40) yfit<-dnorm(xfit,mean=mean(x),sd=sd(x)) yfit <- yfit*diff(h$mids[1:2])*length(x) lines(xfit, yfit, col="blue", lwd=2) But since, ggplot2 has more appealing

I am getting following strange error : library(sn) library(ggplot2) dat1 <- as.matrix(rsn(1000, 0, 1, 0))[,1] ggplot() + geom_histogram(aes(x = dat1, y = ..density.., fill = ..count..)) + xlab("Distribution") + scale_y_continuous("") Error: No data for layer Can anyone please tell me why it is coming? -- View this message in context:

I'm not sure if this is well known, but it helped me so I thought I'd share it with you. When committing to gitmonorepo, (with git llvm push) you need to have committed to your local repo first and so you need to have crafted your commit message from your the Phabricator revision. (e.g. D12345) Phabricator has the ability to give you this commit message it would have used, even if you do

ggplot2 ------------------------------------------------------------ ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce