similar to: GGPLOT/QPLOT Boxplot with summary

I have the following Data structure $ step45 : Factor w/ 2 levels $ obserror : num 6.2 6.2 5.6 6.6 6.6 ... $ Mon : num 2.2 2.0 1.0 3.2 2.0 ... $ inc.comp : num 4 5 2 5 5 5 5 5 4 4 ... all I wanted to do is plotting Mon against obserror, the colors should be by step45 and the size of the symbol should be according to inc.comp so I did this:

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

Hi dear all, In my laptop(ubuntu 11.10 64bit), I maintained a released R (2.14) and a developmental R, I can specify qplot(..., alpha = ) in R 2.14 , but when I try to use transparency in developmental R, I got a warning message and the plot is clearly not I want. minimal example: > qplot(data = mtcars, x = mpg, y = cyl, alpha = cyl) Warning message: In grid.Call.graphics(L_points, x$x, x$y,

Hi dear all, In my laptop(ubuntu 11.10 64bit), I maintained a released R (2.14) and a developmental R, I can specify qplot(..., alpha = ) in R 2.14 , but when I try to use transparency in developmental R, I got a warning message and the plot is clearly not I want. minimal example: > qplot(data = mtcars, x = mpg, y = cyl, alpha = cyl) Warning message: In grid.Call.graphics(L_points, x$x, x$y,

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, 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 <-

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

Dataframe closed contains balances of closed accounts: each row has month of closure (Date-type column month) and latest balance. I would like to plot by-month distributions of balances. A qplot call below produces several warnings and no output. Can anyone help? Thank you. PS. A really basic task, very similar to the examples on p. 71 of the ggplot2 book, apart from a Date grouping column; I

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",

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, ggplot/qplot is great - it has really helped me do some nice things. However, simple boxplot of different columns/variables is a bit tricky, because of (i think) qplot's generic Y conditional on X input form. Se below. # Some data: a <- rnorm(100) b <- rnorm(100,1,2) c <- rnorm(100,2,0.5) # normal boxplot of a,b,c boxplot(a,b,c) # Looks good library(ggplot2) # loads qqplot2 #

Hii, I created some boxplots with this commands: x <-read.table(file="test.txt") x$group <- rep(1:8, each=5) boxplot(V3~gruppe, data=x) Now, I will connect the boxplots to each other to the min, max and median values. Can anybody help me how to do it ? greetings, J -- View this message in context: http://www.nabble.com/connecting-boxplots-tp21405459p21405459.html Sent from

I am interested in creating a boxplot using ggplot or qplot where I can specify the order of the categories being plotted on the x-axis. For example, the following command plots the categories (diamond color) in alphabetic order (D, E, ..., J): qplot(color, price/carat, data=diamonds, geom="boxplot") I want to know how I can modify this command so that the categories are plotted in a

In ggplot2, I would like to make a boxplot that has the following properties: (1) Contrary to default, the meaningful axis should be the horizontal axis. Lattice does this, for instance, by library(lattice);bwplot(~mtcars$mpg) (2) It is *univariate*, i.e., of a single vector, say mtcars$mpg. I do not wish to make separate plots for the different values of mtcars$cyl. (3) Nothing on the

People, It appears that there is no way of getting Boxplots to plot using Mean, SD, Max & Min - is there something else that would do what I want? I couldn't find it . . Thanks, Phil. -- Philip Rhoades GPO Box 3411 Sydney NSW 2001 Australia E-mail: phil at pricom.com.au

Hello, I generate box plots from my data like this: qplot(x=xxx,y=column,data=data,geom="boxplot") + xlab("xxx") + ylab(ylabel) + theme_bw() + scale_y_log10() + geom_jitter(alpha=I(1/10)) The problem is that I see lot of points above the maximum at the same level as some outliers. It looks very weird as I expected the outliers to be "few" and specially not see any

Hi, I wanted to change the default colors appearing in boxplot. For example, the following code (from the package/documentation): =========== library(ggplot2) p <- ggplot(mtcars, aes(factor(cyl), mpg)) p + geom_boxplot(aes(fill = factor(am))) =========== Gives the default colors. What do I need to do to modify this so that: 1. Change the colors from green and red to blue and black 2. Only

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)) {

Has anyone had success with producing legends to a qplot graph such that the legend is placed on the bottom, under the abcissa rather than to the right hand side ? The following doesn't move the legend: library(ggplot2) qplot(mpg, wt, data=mtcars, colour=cyl, gpar(legend.position="bottom") ) I am using ggplot2_0.8.2. Thanks in advance, Avram

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")