Re: [R] Multiple histograms in one plot
I suspect that mar doesn't work with split.screen. You could try using mfrow instead: par(mar=c(1,1,1,1),mfrow=c(5,4)) for (i in 1:20) hist(rnorm(100),main=,cex.axis=.8) With margins this small, though, you won't be able to see the axis annotation for the left axes of the left column or the bottom axis of the bottom row. On 18/10/06, Johann Hibschman [EMAIL PROTECTED] wrote: Hi all, I'm trying to plot multiple histograms in one plot (cross-validation values of model parameters), but I cannot seem to reduce the margins enough to fit as many of them in as I would like. I'm using split.screen to divide the window into a 5x4 grid, then plotting with hist. I've tried explicitly reducing the margins with par(mar=c(1,1,1,1)), but it doesn't seem to have any effect. Visually, there is a lot of whitespace and very little histogram in my results. Can anyone suggest either a better method to visualize these results, a better way to plot histograms, or a way to actually reduce the margins used? The intent is to give a sense of how well-constrained the various model parameters are. Thanks, Johann __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. -- = David Barron Said Business School University of Oxford Park End Street Oxford OX1 1HP __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Multiple histograms in one plot
Have a look at the lattice package. It is the best choice for such a task imho. Johann Hibschman schrieb: Hi all, I'm trying to plot multiple histograms in one plot (cross-validation values of model parameters), but I cannot seem to reduce the margins enough to fit as many of them in as I would like. I'm using split.screen to divide the window into a 5x4 grid, then plotting with hist. I've tried explicitly reducing the margins with par(mar=c(1,1,1,1)), but it doesn't seem to have any effect. Visually, there is a lot of whitespace and very little histogram in my results. Can anyone suggest either a better method to visualize these results, a better way to plot histograms, or a way to actually reduce the margins used? The intent is to give a sense of how well-constrained the various model parameters are. Thanks, Johann __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Multiple histograms in one plot
Thanks, that works well. Using layout also works. I suppose I should have experimented with those earlier, but I somehow got it into my head that split.screen was the modern and correct way to handle this. The lattice package is nice, but it isn't useful to me, since each histogram has a very different mean and standard deviation, so the uniform treatment that is the lattice default does not work well. (Presumably, there is a way around this. Since layout/mfrow works for me, I am not motivated to seek it.) Cheers, Johann On 10/18/06, David Barron [EMAIL PROTECTED] wrote: I suspect that mar doesn't work with split.screen. You could try using mfrow instead: par(mar=c(1,1,1,1),mfrow=c(5,4)) for (i in 1:20) hist(rnorm(100),main=,cex.axis=.8) With margins this small, though, you won't be able to see the axis annotation for the left axes of the left column or the bottom axis of the bottom row. On 18/10/06, Johann Hibschman [EMAIL PROTECTED] wrote: Hi all, I'm trying to plot multiple histograms in one plot (cross-validation values of model parameters), but I cannot seem to reduce the margins enough to fit as many of them in as I would like. I'm using split.screen to divide the window into a 5x4 grid, then plotting with hist. I've tried explicitly reducing the margins with par(mar=c(1,1,1,1)), but it doesn't seem to have any effect. Visually, there is a lot of whitespace and very little histogram in my results. Can anyone suggest either a better method to visualize these results, a better way to plot histograms, or a way to actually reduce the margins used? The intent is to give a sense of how well-constrained the various model parameters are. Thanks, Johann __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. -- = David Barron Said Business School University of Oxford Park End Street Oxford OX1 1HP __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Multiple histograms in one plot
Hi all, I'm trying to plot multiple histograms in one plot (cross-validation values of model parameters), but I cannot seem to reduce the margins enough to fit as many of them in as I would like. I'm using split.screen to divide the window into a 5x4 grid, then plotting with hist. I've tried explicitly reducing the margins with par(mar=c(1,1,1,1)), but it doesn't seem to have any effect. Visually, there is a lot of whitespace and very little histogram in my results. Can anyone suggest either a better method to visualize these results, a better way to plot histograms, or a way to actually reduce the margins used? The intent is to give a sense of how well-constrained the various model parameters are. Thanks, Johann __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
