similar to: qplot of ggplot package how to plot different size according to the values and not to the weights?

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

I'd like to generate a boxplot that has BOTH the overall distribution of a continuous variable (say age), and then a boxplot for each level of a stratifying variable (e.g. site). Does anyone have prototype code for this? Thanks, -- View this message in context: http://www.nabble.com/GGPLOT-QPLOT-Boxplot-with-summary-tp20095591p20095591.html Sent from the R help mailing list archive at

Hi, I have a 5-paneled figure that i made using the facet function in qplot (ggplot). I've managed to arrange the panels into two rows/ three columns, but for the sake of easy visual comparisons between panels in my particular dataset, I want to have the two plots on the bottom align on the right hand side of the figure instead of the left. Here's an example: m <-

Dear List, yes, me again trying to work with qplot ;-) I would like to make several single plots within a loop, like this (simplified and so on...): trials <- c("A","B","C") mycolours <- ("wheat","darkolivegreen","lightgreen",

Hi, I have a qplot like the one in the minimal example below, except I also have faceting like this: qplot(jitter(Goodall),jitter(Better.adapt),colour=Second.adapt,facets=~Pol,data=d1) and with the real data I get quite a lot of overplotting, so I would like to add an alpha channel. In addition, I would like to be able to control which colors are used for each value of Second.adapt (which

I'm having problems with this example, it is posted with reproduceable code below, both with the normal 0-6 scale and the desired 3-6 scale (with bars removed). How can I get the graph to have the desired 3-6 scale without removing the bars. Thanks! #Data

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 =

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?

Is there a way to use a continuous variable to pch in qplot? I believe this worked in previous version. I need to specify certain values of a shape for particular points so that multiple graphs all show the same shapes for the same streams. I have gone to the original data and added a pch column that I would like to use to specify the shapes to pch in qplot. Any help would be greatly

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 =

Dear friends, I'm on windows, R 2.15.1 - library(ggplot2) #compiled under 2.15.2 qplot(mpg, wt, data=mtcars, colour=cyl) # directly from the qplot help Error in rename(x, .base_to_ggplot, warn_missing = FALSE) : could not find function "revalue" Is that due to a .1 lack in R All the best Troels Ring

Hello all, I'm stuck with a strange issue with writing jpegs of plots to a folder in a loop. This works: for (step in 1:length(steps)) { jpeg(filename=paste("frame_",sprintf("%05d",step),".jpg",sep="")) plot(steps[[step]]) dev.off() } But if I use qplot to generate the plot (which is my aim): for (step in 1:length(steps)) {

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")

Playing with ggplot, something I'd promised myself I'd get around to. I've the following scenario: library(lattice) library(ggplot2) myData <- data.frame( x = rnorm(100), y = rnorm(100), group = 1:4 ) xyplot(y ~ x | factor(group), data = myData, layout = c(2, 2)) qplot(x, y, facets = ~ group, data = myData) In this code the lattice example gives me a 2x2 layout, whereas

Hi, I've used the following command in qplot qplot(a$V1,geom="histogram",binwidth=0.15,fill = factor(a$V2),ylab="Frequency",xlab="Rate"); but the title in the legend shows up as factor(a$V2)...how can i change this? -- Rajesh.J [[alternative HTML version deleted]]

Hello I simply want to plot two variables against one 'year' variable in qplot. Is any way of doing this without reshaping data in long format and using facet function afterwards? Thank you Denis

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 would like to be able to reverse the xlim on qplot this is the code that I am using qplot(a[,"River.Mile"], a[,26] ,ylab=colnames(a)[26], xlab="RiverMile", xlim=rev(c(60, 216)))+geom_smooth()+scale_x_continuous(breaks=c(215,202,198,190,185,179,148,119,61),

Hi, how can i plot two different x axis in a ggplot2 qplot? I want to plot Farenheit and Celsius in one diagram. x1:Farenheit x2:Celsius kind regards, -- Jonas Stein <news at jonasstein.de>