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Hello, I'm currently using a simple plot to visualize some mean values. I'm having ~200 datapoints on the x-axis, each has 10 records. I'm currently plotting only the mean value of each of the datapoints. What I need is a way to visualize the quartiles/error/whatever of these points. I thought about boxplots, but I have to many points on the xaxis - it would be impossible to see

Hello, I'm having a problem renaming and sorting the underlying factor of a ggplot2 based plot. Here's my code: ---8<---------- > delta <- ggplot(subset(data, Model==c("dyn", "dl4", "dl3")), aes(x=Problemsize, y=Fitness)) + geom_smooth(size=1, color="black", fill=alpha("blue", 0.2))+ geom_point(size=0.5,

Hello, is there a way to specify special characters as a axis label? I need to have a tick marking the "infinity" in my plot... Is there a way? Or possibly a way to include latex-style formulas? Thanks in advance, Arne

Hello, I'm currently using a boxplot to visualize data for three different models. As I have three models, I'm plotting three parallel boxplots for each factor. This works fine - what I need now is a line connecting the medians of each boxplot of each model. I want to do this in order to visualize the trend that one of the models exhibit. Basically, I want to plot a curve for each model

Hi all! I would like to import a matlab or gauss code to R. Could you help me? Bye, Sebasti?n. 2007/6/23, r-help-request en stat.math.ethz.ch <r-help-request en stat.math.ethz.ch>: > Send R-help mailing list submissions to > r-help en stat.math.ethz.ch > > To subscribe or unsubscribe via the World Wide Web, visit >

Hello, I think I found a bug when creating graphics on a PDF device using transparency. I'm using ggplots2 like this: comp <- ggplot(data, aes(x=Problemsize, y=Fitness)) + geom_smooth(fill=alpha("blue", 0.2), aes(colour=factor(Clustersize)), size=2) Which gives me a curve for each "Clustersize" with a transparent blue "cloud" around it, indication