similar to: R Stacked Histogram

Hi, Here are three plots: library(ggplot2) data(diamonds) randind <- sample(nrow(diamonds),1000,replace=FALSE) dsmall <- diamonds[randind,] qplot(carat, data=dsmall, geom="histogram",binwidth=1) qplot(carat, data=dsmall, geom="histogram",binwidth=.1) qplot(carat, data=dsmall, geom="histogram",binwidth=.01) What are ways to put these three plots on a single

Hello I'd like to plot a histogram of some data composed of real numbers. The bin width I'm using is ~ 0.01, which results in high values in the y axis, so that the area under each bar corresponds to the probability of the data in that range. Is is possible to plot points whose y coordinate correspond to that probability, instead of plotting the histogram bars? In other words, instead of

R-users it appears I am leaning on your knowledge once again.  Is there any way to add a vertical line to a histogram and qplot "stacked" plot?  Here is my current attempt:   "qplot" approach attempt: qplot(Run, data = data_dataframe, breaks = breaks, fill = Temperature, main = short_title) + scale_x_continuous("Data") + scale_y_continuous("Freq")

I'm looking at ggplot-static\position_dodge.html   For ggplot(diamonds, aes(x=price, fill=cut)) + geom_bar(position="dodge") , is it possible to specify the spacing between the dodge'd bin groupings?    That is, I would like for there to be a small separation (horizontal space) between the "Ideal" and the "Fair" bars on the plot.  That way the reader can get

Hi, I wish to plot multiple histograms(representing different data so different range along xaxis but y axis is the same) horizontally in ggplot2. I'd like it to look like facets. Is this possible? -- Rajesh.J [[alternative HTML version deleted]]

Hi, Does anyone know how to do a coord_trans() in which the y-axis is tranformed into (for example) -1000/y? Thanks, _____________________________ Professor Michael Kubovy University of Virginia Department of Psychology USPS: P.O.Box 400400 Charlottesville, VA 22904-4400 Parcels: Room 102 Gilmer Hall McCormick Road Charlottesville, VA 22903 Office: B011

Hi, I'm trying to create a stacked bar plot using ggplot2. Rather than plotting the count of each of the 13 "Bar" factors on the Y axis, I would like to represent the sum of the Values associated with each of the 13 "Bar" factors. Is there a way to do that? Given the following data, that would obviously mean that there would be some negative sums represented. Here's

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

Hello, this following code give a nice png: /library(ggplot2) i <- 1 png(file=paste('test ',i,'.png',sep='')) qplot(carat, data=diamonds, fill=color,geom='histogram')+scale_y_continuous(i) dev.off() / I would like to get more files, but the following code doesn't make any file: /library(ggplot2) for (i in 1:2) { png(file=paste('test

I can plot to png's fine when i run this directly from the top-level script/console: png('diamonds.png');qplot(carat,price,data=diamonds);dev.off() But for some reason it's not working when that's in a function: (function(){png('diamonds.png');qplot(carat,price,data=diamonds);dev.off()})() I suspect this is because the qplot's return value must be

Hi all, Is there any way for me to to string in the argument of qplot or ggplot? for example qplot(x='carat',y='price',data=diamonds,geom=c('point','smooth')) instead of qplot(x=carat,y=price,data=diamonds,geom=c('point','smooth')) Thanks!! Regards, TszKin Julian [[alternative HTML version deleted]]

  Thanks again for the hints about adding the vertical line to the hist plot and in ggplot.  That worked great.    Based on that advice I've been flipping through the ggplot2 doc and ggplot-static\index.html webpage more looking for the answer to the next question.    Unfortunately, I haven't stumbled on a description of how to move around the location of the legend.    Here is what I

Is there a place that shows how to create two plots that are stacked on top of each other where they share a common x-axis scale, but have differnt y-axis scale? Say have the following data: airquality Stack plot(airquality$Day, airquality$Wind) on top of plot(airquality$Day, airquality$Temp). I am interested in stacking the two on top of each other with no seam, or plotting the two lines with

Searched my R reference docs*, and the Rseek, but evidently I've overlooked this capabilty.    Is it possible to produce a 3d Barplot using R?   For example would like to have a three axis bar plot - \ x-axis = location(discrete), y-axis = data value, z-axis = frequency of value occurance (of location and value)   Would also if could also do something like what "qplot" allows,

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...)    

Suppose that I'm working on Hadley's diamond dataset and I want to review the relationship between price, colour and carat. I might run the following: library(ggplot2) #plot scatter and add some hex binning q<-qplot(carat,price,data=diamonds, geom=c("hex"), main="Variability of Diamond Prices by Carat and Colour") #facet to get one scatter for

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

I've been using qplot pretty successfully to generate stacked histograms.  However, it appears that I need to tweak the colors a little.    I've got three temperature variables (characters not numeric) and I need to change from the default qplot colors to the following: Low = Blue Middle = black High = Red   Here is pseudo code of what I have currently:qplot(Run, data = TestData, breaks =

My question is related to plot( ) in the mgcv package. Before modelling the data, a few predictors were transformed to normalize them. Therefore, the x-axes in the plots show transformed predictor values. How do I back-transform the predictors so that the plots are easier to interpret? Thanks in advance, Suzan -- Suzan Pool Oregon State University Cooperative Institute for Marine

Hi, I'm using the gridExtra package to combine some graphs like in the arrangeGrob example. Each of the graphs has a title but they appear much larger than the overall combined plot title and left axis label. Does anyone know how I can control the style / size of the gridExtra labels? library(gridExtra) library(ggplot2) dsamp <- diamonds[sample(nrow(diamonds), 1000), ] p1 <-