[R] For MacBook, best way to do R?
I'm getting a MacBook and I'd like to stick with OS X rather than convert it to Linux just yet. However, my main concern is having decent performance. What's my best option: *use the existing binary for R? *compile R fresh under OS X? * install Linux and run R under that? Does anyone have any recent experience they can share? Thanks! -- I can answer any question. I don't know is an answer. I don't know yet is a better answer. __ 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] Making a case for using R in Academia
Check http://cran.r-project.org/doc/FAQ/R-FAQ.html#R-and-S and following links. R has a 95% overlap with S and S+, and those two are popular enough that statistics books target them (e.g., Venables and Ripley). I am teaching applied statistics at a small liberal arts college with limited resources, and we are currently using SPSS for our courses. Mainly the reason for this, as I understand it, is that this is what is used out in the real world, or at least this is our perception of it. I have only used R for my own stuff for about six months, and my training is not in statistics, so I am not very aware of what it can do in other disciplines, especially Sociology and Psychology. I would like to make a case to the other departments here for using R instead, so I was hoping that there might be some resources out there that talk about the extend in which R is being used outside of academia, or in general any other resources that talk about R as a practical alternative to the other non-free statistical packages. Perhaps some statistics, or particular examples of use? Any links would be greatly appreciated. -- I can answer any question. I don't know is an answer. I don't know yet is a better answer. __ 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] Statitics Textbook - any recommendation?
Venables and Ripley's Modern Applied Statistics with S was recommended on the CRAN site, and I like it myself. On 9/20/06, Iuri Gavronski [EMAIL PROTECTED] wrote: I would like to buy a basic statistics book (experimental design, sampling, ANOVA, regression, etc.) with examples in R. Or download it in PDF or html format. I went to the CRAN contributed documentation, but there were only R textbooks, that is, textbooks where R is the focus, not the statistics. And I would like to find the opposite. Other text I am trying to find is multivariate data analysis (EFA, cluster, mult regression, MANOVA, etc.) with examples with R. Any recommendation? Thank you in advance, Iuri. __ 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. -- I can answer any question. I don't know is an answer. I don't know yet is a better answer. __ 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] Any other R users in Philadelphia?
I'm still new to R and wouldn't mind meeting other R users, at any level of experience. Regards, Mitch Maltenfort Thomas Jefferson University -- I can answer any question. I don't know is an answer. I don't know yet is a better answer. __ 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] Intro to Programming R Book
I recently invested in two books: Venables and Ripley Modern Applied Statistics in S, and Everitt and Rabe Heskith's Analyzing Medical Data in S-Plus I think either one is a good self-teaching tool. On 8/24/06, Raphael Fraser [EMAIL PROTECTED] wrote: I am new to R and am looking for a book that can help in learning to program in R. I have looked at the R website suggested books but I am still not sure which book best suite my needs. I am interesting in programming, data manipulation not statistics. Any suggestions? Raphael __ 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. -- I can answer any question. I don't know is an answer. I don't know yet is a better answer. __ 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] How would you run repeated-measures multifactorial MANCOVA?
OK, now that I've worked through Venebales and Ripley and a few other sources, I can see more than one way of attacking a problem I expect to be facing soon: a repeated-measures MANCOVA with more than one X-factor. But that got me wondering how the people who've been playing with R longer than I have would be doing it...and thinking it might be an interesting topic for discussion on the list. How would you prefer to do a repeated-measures multifactor MANCOVA in R? Is there a way that's particularly good --- or particularly bad? __ 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] Ambitious newbie with some ongoing Q's
I'm new to the list and I've been playing about with R for some months now, mostly using the power analysis routines including the pwr package. I'm currently looking at a project which will require a repeated-measures MANCOVA. I've been reviewing the files available at CRAN, including http://cran.r-project.org/doc/contrib/Lemon-kickstart/kr_repms.html and http://tolstoy.newcastle.edu.au/R/help/03b/7663.html which describe repeated-measures ANOVA Is making this a repeated-measures MANCOVA as simple as adding a covariate to the fixed model and then making the Y and covariate variables matrices? If not, how do I do it? Can I do it? And if I can do it, can I also do a power analysis? (OK, I'm a greedy little newbie...) Thanks in advance. -- I can answer any question. I don't know is an answer. I don't know yet is a better answer. __ 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.
