similar to: 3-axis Barplots (plus qplot like staked histogram capability)

My question is based on an example provided in the following: Referencing: Statistics with R Vincent Zoonekynd <zoonek at math.jussieu.fr> 6th January 2007 URL: http://zoonek2.free.fr/UNIX/48_R/all.html data(HairEyeColor) a <- as.table( apply(HairEyeColor, c(1,2), sum) ) # Provided Example barplot(a, beside = TRUE, legend.text = attr(a, "dimnames")$Hair) # I

Do you know what steps I need to take to add a scale to a plot? I'm pulling my example out of "An Introduction to R: Software for StatisticalModelling & Computing" (see the R code around Figure 76). I would like to add a scale to the image produced by the following code.? I would like to the scale to list the distance?and units:? data(volcano) x <- 10*(1:nrow(volcano)) y

Hola Ayuda por favor. ¿Cómo roto u oriento las etiquetas de los ejes de una grafica hecha con ggplot2 y qplot? Con plot() lo hacía con "las" pero ahora no se si deba ser así y en su caso no sé dónde ponerlo. Gracias! Alfredo. [[alternative HTML version deleted]]

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'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 =

Stock returns and other financial data have often found to be heavy-tailed. Even Cauchy distributions (without even a first absolute moment) have been entertained as models. Your qq function subtracts numbers on the scale of a normal (0,1) distribution from the input data. When the input data are scaled so that they are insignificant compared to 1, say, then you get essentially the

That is qplot, is it possible to switch the location of axis_h and strip_h?   I produced a plot where I would like to have the strip_h on the bottom and the axis_h on the top of the facet plot.   Is that possible?       P.S. I figured out how to not show the x-axis ticks, while still showing the x-lablel. There is probably a better way, but here is what I found that seems to work:

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Hi, I've been looking for Image Processing packages. Thresholding, Edge Filters, Dct, Segmentation, Restoration. I'm aware, that Octave, Matlab etc. would be a good address but then I'm missing the "statistical power" of R. Does anybody know of packages, projects etc. Comments on wether the use of R for such matters is useful are welcome. Greetings Thomas Kaliwe

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 =

In conducting studies of animal orientation and displacement, I need to produce circular histograms of angles (bearings in radians 0-2pi) where the centre of the circle indicates very few observations for a given bin of angles and outwardly concentric circles indicate greater frequencies of observations for a given bin of angles. I'd like not to have to write the function myself but I

I intend to draw a plot of y against x. In the background of this graph I wish to creat a histogram of the horizontal variable x. Does any expert know how to produce such a plot? [[alternative HTML version deleted]]

I've seen this asked, but never fully answered.  Is it possible to plot stacked histograms in R? I have four data sets that I would like to show combined vertically in histogram format.  Is this possible?  Thank you for any feedback you can provide. P.S. I know I can show the four sets side by side, but I want to combine them, but still uniquely identify each.   Thanks again.

Hi all, Please consider the following code: require(plotrix) l <- list(rnorm(50),rnorm(50,sd=2),rnorm(50,mean=3)) multhist(l) I have two things I need help with: (1) In the output, there are empty spaces on the x-axis. How would I eliminate these spaces? I want a nice, smooth, empty-spaceless x-axis. (2) How could I add tracing lines to each histogram? I am undoubtedly using the wrong

hello, does anyone know how to add histograms or distributions on regression like just like quantiles regression in RGraphGallery below, a very delicate codes. Thanks alot. http://addictedtor.free.fr/graphiques/RGraphGallery.php?graph=109

Hi all, I am trying to use GAM to work on some data... Are there any resources providing hands-on tutorial/guide on how to do GAM on data in R? Specifically, I am not sure about which model to choose, and smooth models with which effective degree-of-freedom shall I use... I knew there is a book titled: GAM: an introduction using R. Unfornately our local library does not have it... so that's

I get the following error when I run qplot() qplot(grade, read,data = hhm.long.m, geom = c("point", "smooth")) Error in smooth.construct.cr.smooth.spec(object, data, knots) : x has insufficient unique values to support 10 knots: reduce k. I am not sure how to tackle this problem. When I take a subsample (< 1000) than I am able to run that function but with my sample

Hi Jason, > Well, one last questions about stack plot (please forgive the lame example > below). I thought the below allow me to resize the the "title" of the > stacked histogram, but no luck. Any suggestions as to the modificaiton > necessary to get it to work? Right now the title is obscured by the plot > and my boss will be none too happy. Thanks again. Yes,

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

Hi all, whenever I try to plot a histogram using qplot() function of "ggplot2" library, I get error like this : > qplot(rnorm(1000), geom="histogram", binwidth=0.2, main = "", xlab="", > ylab="") Error in scale[[1]] : subscript out of bounds However if I remove ylab="" argument, then it is working fine. Am I missing something?