similar to: Documenting related data sets

[Environment: WinXp, R 2.9.2, all packages up to date; building under (StatET 0.8, eclipse 3.5.1) or from a batch file] I'm in the process of creating a package, HistData, on R-forge, containing interesting data sets from the history of statistics and data visualization. It contains several examples that use ggplot2, which I've declared as a Suggests: in the DESCRIPTION file. The

In a recent talk ('Visions of the Past, Present & Future of Statistical Graphics'), I talked about, among other things, the lessons Minard's March on Moscow graphic had for modern statistical graphics, and illustrated aspects of power and simplicity in several programming languages where this graphic had been recreated. I referred to 'elegance factors' of various

Greg, I'm going to join issue with your here! Not that I'll go near advocating "Excel-style" graphics (abominable, and the Patrick Burns URL which you cite is remarkable in its restraint). Also, I'm aware that this is potential flame-war territory -- again, I want to avoid that too. However, this is the second time you have intervened on this theme (previously Mon 6

I have two series of events over time and I want to construct a graph of the relative frequency/density of these events that allows their distributions to be sensibly compared. The events are the milestones items in my project on milestones in the history of data visualization [1], and I want to compare trends in Europe vs. North America. I decided to use a graph of two overlaid density

I'm working with an historical image that may be (one of?) the first uses of gray-scale shading to show the pattern of values in a matrix/table, later used by Bertin in his 'reorderable matrix' and sometimes called a scalogram. The image is at http://euclid.psych.yorku.ca/SCS/Gallery/images/Private/scalogram.jpg The rows refer to the arrondisements of Paris, the cols to various

The question is how to use a URL in place of a file= argument for read.*.functions that do not support this internally. e.g., utils::read.table() and her family all support a file= argument that can take a URL equally well as a local file. So, if I have a file on the web, I can equally well do > langren <- read.csv("langrens.csv", header=TRUE) > langren <-

Since 2008, Microsoft (formerly Revolution Analytics) staff and guests have written about R every weekday at the Revolutions blog (http://blog.revolutionanalytics.com) and every month I post a summary of articles from the previous month of particular interest to readers of r-help. In case you missed them, here are some articles related to R from the month of August: Using the featurizeText

I'm happy to announce the candisc package, v 0.5-9, now on CRAN. Generalized Canonical Discriminant Analysis Description This package includes functions for computing and visualizing generalized canonical discriminant analyses for a multivariate linear model. They are designed to provide low-rank visualizations of terms in a mlm via the plot method and the heplots package. The methods

I'm happy to announce the candisc package, v 0.5-9, now on CRAN. Generalized Canonical Discriminant Analysis Description This package includes functions for computing and visualizing generalized canonical discriminant analyses for a multivariate linear model. They are designed to provide low-rank visualizations of terms in a mlm via the plot method and the heplots package. The methods

System: [Windows XP Pro, R 2.8.0 and R 2.81.] When I do R graphics on Windows and want .eps output for LaTeX, with *tight bounding boxes* I usually do as follows from Rgui: - Save as Postscript ... myfig.ps - Open myfig.ps in Gsview, select PS to EPS, Save as ... myfig.eps This always worked before, and gave me .eps files that did not include much more white space than I like, didn't

How can I read a space-delimited file, where the data values for each case are folded before column 80, and so appear on two lines for each case? The first few cases look like this loc type bio H2S sal Eh7 pH buf P K Ca Mg Na Mn Zn Cu NH4 OI DVEG 676 -610 33 -290 5.00 2.34 20.238 1441.67 2150.00 5169.05 35184.5 14.2857 16.4524 5.02381 59.524 OI DVEG 516 -570 35 -268 4.75 2.66 15.591 1299.19

For an historical paper I'm working on, I have some Spanish plaintext, presently in the form of a Word .doc file, http://euclid.psych.yorku.ca/SCS/Gallery/images/Private/Langren/Verdadera-spanish-stripped.doc and also some ciphered text from the same original source. The ultimate goal is to use some frequency analysis of letters and word lengths in the plaintext to help decode the

I'd like to do some plots of historical event data on a reverse log scale, started, say at the year 2000 and going backwards in time, with tick marks spaced according to log(2000-year). For example, see: http://euclid.psych.yorku.ca/SCS/Gallery/images/log-timeline.gif As an example, I'd like to create a density plot of such data with the horizontal axis reverse-logged, a

The Institute for Social Research (ISR) and its Statistical Consulting Service (SCS) at York University are pleased to announce our Summer Program In Data Analysis (SPIDA) for 2012. The Program runs from May 24th to June 1st, 2012.This year?s Program focuses on the theory and practice of linear models and mixed [or multilevel] models, as they are applied to hierarchical and longitudinal data.

I'm trying to make a set of contour plots of bivariate kernel density estimates, showing three such plots overlaid, similar to this plot http://euclid.psych.yorku.ca/SCS/Private/Test/ridge-boot2.pdf except that I would like to have the contours *filled* (using transparent colors). To make this reproducible, I've saved the results of KernSmooth::bkde2D() in the following file:

I'm trying to test an extension of mosaic() from the vcd package that requires a change to the basic strucplot() function from that package. I want to test my change by sourcing the replacement function into my R session. But when I do that, source("c:/R/mosaics/strucplot-MF.R") and run my extension, it is apparent that it is vcd:::strucplot that is eventually called, not my

I'm trying to do a sunflowerplot of Galton's data, with both regression lines and data ellipses, and I must be doing something wrong, because the lines do not intersect at \bar{x}, \bar{y}. The problem is likely in the line for x.y, but I don't know how to specify that correctly. The data is read in grouped form( galton), and then ungrouped (galton2): galton <-

How can I get the result of, e.g., poly(1:3. degree=2) to give me the unnormalized integer coefficients usually used to explain orthogonal polynomial contrasts, e.g, -1 1 0 -2 1 1 As I understand things, the columns of x^{1:degree} are first centered and then are normalized by 1/sqrt(col sum of squares), but I can't see how to relate this to what is returned by poly(). >

[Env: WinXp, R 2.9.2] In my .Rprofile, I define a number of utility functions I'd like to have available in my R session, but don't want them to be *normally* listed by ls(), or more importantly, saved if I save my session variables/functions. How can I do this? -- Michael Friendly Email: friendly AT yorku DOT ca Professor, Psychology Dept. York University Voice: 416

I recently was forced to do a dist-upgrade and rebuild my kernel, so a lot has changed on my system, and I don't know if that is related to the errors & warnings I get from apt-get update. Any ideas? thanks -Michael euclid:~# apt-get update Get: 1 http://debian.yorku.ca stable Release.gpg [378B] Get: 2 http://debian.yorku.ca stable/updates Release.gpg [189B] Get: 3