Dear R users, I'd like to announce a new package on CRAN called ``denstrip''. It implements ``density strips'' and other graphical methods for illustrating and comparing distributions in a compact fashion.
Posterior distributions of parameters are often summarised using point and line drawings of means and credible intervals. This is common, for example, in multiple regression or meta-analysis. Density strips generalise these to illustrate whole distributions. Instead of a point and line, a shaded strip indicates the density as proportional to the darkness of the shading. They taper to white at the end of the strip, instead of terminating at a clear limit - this may discourage casually categorising effects as ``significant'' if the line excludes the null. The shading idea generalises to ``density regions'' to show uncertainty about continuously-varying quantities, such as predictions from time series. The package includes other functions for illustrating distributions in ``one dimension'', such as varying-width strips (similar to violin plots) and sectioned density plots. If you're interested in reading more about these methods, I discuss them in a forthcoming article in The American Statistician, ``Displaying uncertainty with shading'', also available from http://www.mrc-bsu.cam.ac.uk/personal/chris/papers/denstrip.pdf Comments and suggestions for improvement of the package are welcome. -- Christopher Jackson <[EMAIL PROTECTED]> Research Statistician, MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge, UK, CB2 0SR. +44 (1223) 330381 _______________________________________________ R-packages mailing list [EMAIL PROTECTED] https://stat.ethz.ch/mailman/listinfo/r-packages ______________________________________________ R-help@r-project.org 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.
