similar to: R on Linux, and R on Windows , any difference in maturity+stability?

R has a very wide audience, clinical research, astronomy, psychology, and so on and so on. I would consider data analysis work to be three stages: data preparation, statistical analysis, and producing the report. This regards the process of getting the data ready for analysis and reporting, sometimes called "data cleaning" or "data munging" or "data wrangling". So as

Hi again, Typo in the last email. Should read "about 40 standard deviations". Jim On Thu, Nov 30, 2017 at 10:54 AM, Jim Lemon <drjimlemon at gmail.com> wrote: > Hi Robert, > People want different levels of automation in the software they use. > What concerns many of us is the desire for the function >

How difficult is it to get a good feel for the internals of R, if you want to learn the general code base, but also the CPU intensive stuff ( much of it in C or Fortran?) and the ways in which the general code and the CPU intensive stuff is connected together? R has a very large audience, but my understanding is that only a small group have a good understanding of the internals (and some of those

Hi Robert, People want different levels of automation in the software they use. What concerns many of us is the desire for the function "figure-out-what-this-data-is-import-it-and-get-rid-of-bad-values". Such users typically want something that justifies its use by being written by someone who seems to know what they're doing and lots of other people use it. One advantage of many R

I don't think my view is of interest to many, so offlist. I reject this: " I would consider data analysis work to be three stages: data preparation, statistical analysis, and producing the report." For example, there is no such thing as "outliers" -- data to be removed as part of cleaning/preparation -- without a statistical model to be an "outlier" **from**,

Hello everyone, As some may know, today Google unveiled its 2001 search index [1]. I was curious to see how was R like at that time, and was not disappointed. Compared to today's main page [2], seven years ago the page looked [3] a bit rudimentary, especially the graphic. (It is wort noting that structurally the pages are very similar.) What definitely changed is the `Contributed

1) What is easy for one person may be very hard for another, so your question is really unanswerable. You do need to know C and Fortran to get through the source code. Get started soon reading the R Internals document if it sounds interesting to you... you are bound to learn something even if you don't stick with it. If you have questions about the internals though, you should read the Posting

what does R have to compare with , say , proc surveymeans, estimate survey means/proportions with standard errors, using Taylor methods? [[alternative HTML version deleted]]

Does anyone know any more than is in the following press release about REvolution Computing and their commercialization of R? http://www.intel.com/capital/news/releases/080122.htm "Intel Capital, the global investment arm of Intel Corporation, today announced that it has invested in the Series A financing of REvolution Computing, creator of parallel computing software for computational

Dear all, I've tried a multiple regression, and now I want to try a cross-validation. I obtain this error (it must be sth related to df) that I don't understand, any help would be appreciated. cv.lm(df= dat, lm2.52f, m=3) Error en `[.data.frame`(df, , ynam) : undefined columns selected lm2.52f is my lm object, dat is a dataframe where the variables involved in .lm are I tried CVlm

Can anyone suggest an equivalent, for lattice graphs, of the base graphics argument bty="l"? NB that I am leaving off the box around the strip, with a strip function: stripfun <- function(which.given,which.panel, factor.levels=as.expression(levlist), ...){ panel.text(x=0, y=0.5, lab = as.expression(levlist[which.panel[which.given]]),

Is there any reason that rstandard.glm doesn't have a "pearson" option? And if not, can it be added? Background: I'm currently teaching an undergrad/grad-service course from Agresti's "Introduction to Categorical Data Analysis (2nd edn)" and deviance residuals are not used in the text. For now I'll just provide the students with a simple function to use, but I

help(letters, htmlhelp=TRUE) fails. Under the Mac OSX gui, the message is 'Help for the topic "a" was not found.' Under the version documented below, and under Windows, the message is "No documentation for 'a' in specified packages and libraries:" repeated for all the elements of letters, then followed by "you could try

Is anyone in the leadership of the R-project going to contact the New York Times and clarify that the article gave remarkably short shrift to the people who designed the user interface for R, to a large extent AT&T researchers from an earlier generation? It would be the appropriate thing to do. The R team did not develop the user interface for R, the designers of the S programming language

I am looking for information on experimentation with the use of R in the teaching of statistics and science in schools. Any leads would be very welcome. I am certain that there is such experimentation. I've made this inquiry on r-sig-teaching, with no response. John. John Maindonald email: john.maindonald at anu.edu.au phone : +61 2 (6125)3473 fax : +61 2(6125)5549 Centre

I propose the following enhancements and changes to plot.lm(), the most important of which is the addition of a Residuals vs Leverage plot. (1) A residual versus leverage plot has been added, available by specifying which = 5, and not included as one of the default plots. Contours of Cook's distance are included, by default at values of 0.5 and 1.0. The labeled points, if any, are those

Consider the following analysis of a class experiment done as a Latin Square: > spinner <- gl(4,4,16,label=c("Murray","Angela","Shasha","Stephen")) > order <- gl(4,1,16) > treat <- scan() 1: 1 2 4 3 5: 4 3 1 2 9: 3 4 2 1 13: 2 1 3 4 17: Read 16 items > coin <-

In Section 1.4.2 of "Writing R Extensions" %\VignetteEngine{knitr::knitr} should be %\VignetteEngine{knitr::knit} > sessionInfo() R version 3.0.2 (2013-09-25) Platform: x86_64-apple-darwin10.8.0 (64-bit) Is this sort of thing best reported here, or is a huge report in order? John Maindonald email: john.maindonald at anu.edu.au phone : +61 2 (6125)3473 fax

<<< Thus factor analysis is in essence a model for the correlation matrix of x, ? = ?'? + ? >>> This should surely be ? = ??' + ? Also line 3 under ?Details? says <<< for a p?element row-vector x, ? >>> x is here surely a column vector, albeit the transpose of a row vector from the data matrix. cf page 322 of ?Modern Applied Statistics with S?, 4th

Dear R community, I am trying to resolve a discrepancy between the way SPSS and R handle 2-way, repeated measures ANOVA. An experiment was performed in which samples were drawn before and after treatment of four groups of subjects (control and disease states 1, 2 and 3). Each group contained five subjects. An experimental measurement was performed on each sample to yield a