similar to: installation on Mac OS X

I hope this is the right place for my question, my apologise if it is not. I am a long time Mac/UNIX user and my local machine is a Mac. At present I run an orphan version of R which a worried out of (*****). On reflection I guess I'd better not say, but it changed my life. It is howerver a little out of date ( say 0.6ish) So the obvious question, do I move to MacLinux or is there likely

Greetings, I am trying to install R (0.63.2) on a Digital Unix 4.0b Alpha Server 2100A using gcc 2.8.1 and f77 v 0.5.2.3. It seems to compile OK. However, when I try to run R I get the following message: R : Copyright 1999, The R Development Core Team Version 0.63.2 (January 12, 1999) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under

Hello out there, in their "R Complements" to Modern Applied Statistics W. Venables and B. Ripley say that there is a lack of time series related functions in R compared to S plus. Looking at CRAN I didn't find much, too. As I have to learn something about +-basic ts analysis, e.g. spectral analysis, I would like to know whether somebody has developed a "unpublished" time

Dear List, After my laptop was stolen I (eventually) replaced it with a G4 laptop running Mac OS 9.1 . This also meant I updated to the current Mac binary 1.3.1. This is pretty wonderful except for one problem. I normally save R figs as eps files using the Mac OS and then read them into Latex documents. This no longer works as the legends overwrite the diagrams. Saving as ps from R also does

R ran find on our Sun until it was stolen. I have now set up R on one of our Dec Alphas OSF1 V4.0 386. R-0.49 configures builds and runs fine except that the glm command crashes R. R-0.60.1 configures builds and runs until a cis entered. I think the problem is the floating point conventions but before I get in over my head a question Has anyone used glm successfully on Alphas OSF1 V4.0 386?

I am running some simulations which involve fitting a glm with Binomial error ( in fact Bernoulli) and logistic link. Running R 0.63 I have no problems. However I need more speed so migrated to our UNIX boxes which run Version 0.90.1 (December 15, 1999) Here I get an error Error in (if (is.empty.model(mt)) glm.fit.null else glm.fit)(x = X, y = Y, : y must be univariate unless binomial

The file ftp://gifi.stat.ucla.edu/pub/R-1.5.1.dmg has grown to 60 MB. It consists of a meta-package and its packages and it will allow you to install binaries for R-1.5.1 and about 300 packages, just by clicking the R-1.5.1.mpkg file. It also install quite a few dylibs in /sw, but not the ones for X11R6 and gnome yet. You can choose which of the packages to install, of course. The same

The file ftp://gifi.stat.ucla.edu/pub/R-1.5.1.dmg has grown to 60 MB. It consists of a meta-package and its packages and it will allow you to install binaries for R-1.5.1 and about 300 packages, just by clicking the R-1.5.1.mpkg file. It also install quite a few dylibs in /sw, but not the ones for X11R6 and gnome yet. You can choose which of the packages to install, of course. The same

Read R-helpers, I'm relatively new to R and trying to jump in feet first. I've been able to learn a lot from on-line and printed documentation, but here's one question to which I can't find an answer. Well, it's a question with a couple parts. Thanks in advance for any direction (partial or complete) that anyone can provide. I have a data frame with three columns:

It seems that using a join model that joins with two has_many''s will fail to generate proper SQL class StudentSemesterRecord < ActiveRecord::Base belongs_to :semester has_many :discipline_records, :through => :semester end class Semester < ActiveRecord::Base has_many :student_semester_records has_many :discipline_records end class DisciplineRecord <

I am new to R so may well have missed the point somewhere. I would like to use an exponential error in my generalized linear model. It seems natural to restrict the Gamma family to do this ( and as one might in GLIM) by specifying the scale. This does not seem possible in R . Have I missed something? Sorry to raise such a trivial point but I am keen to specify the scale G.Janacek

I have an app with the following models: course belongs_to :semester semester has_many: courses belongs_to :education education has_many :semesters In my old app (rails 1.2.6) I was able to access variables via controller @courses = Course.find(:all) view file: <% for course in @courses %> <%= course.name %> <- this line works <%= course.semester.name %> <- this is now

hello I read "Practical Time Series" (Gareth Janacek; 2001) and they presented e.g the smoothing functions msmooth(x,k) or the bivariate function crosscorr(x,y,k), but both didn't work on my machine. I only load the ts library, is another library necessary or did this function change since 2001? Is there a more recent and detailed manual for ts? thanks, cheers Martin -- Martin

Dear R People: Are your undergraduate students receptive to learning R, as a rule? Most of the time, mine really like it. But this semester, they act as though they are being eaten by rats when learning R. They are not trying at all. Any similar experiences? If anyone has any good ideas, I would be THRILLED to hear them, as I am using R in Summer School. Thanks, Sincerely, Erin Hodgess

Dear R-helpers, New to R, I'm in the middle of a project that I'm using to force me learn R. I'm running into some behavior that I don't understand, and I need some advice. In the last week I've gotten some great advice from the list on visualizing my data, and I was hoping people could help me get over another barrier I've encountered to my progress. Before I

Hi R People! I'm going to be putting together a completely online undergrad business stats course (a second semester course) and was going to use R and Rcmdr. My question: has anyone else used R for an online course, please? If so, did it go well, please? Thanks in advance, Sincerely, Erin -- Erin Hodgess Associate Professor Department of Computer and Mathematical Sciences University

I have a data frame that has columns Semester, Student ID (SID), Subject, Grade, Devel (Tor F). Students can have multiple records within a semester. Right now, the columns are not considered factors. I want to do an analysis that would show the number of students who received particular combinations of grades. I also need to distinguish between the two Development levels (they modify classes,

Dear colleagues, particularly academic ones, So I'm creating a Microsoft Word template for myself so that every time I teach a new course, I don't have to enter in the dates manually for each class session. I'd like to use an R script that can generate an irregular series of dates starting from one date (semester begin) to another (semester end) using an irregular interval in

On Fri, Apr 08, 2016 at 09:57:16AM -0400, Richhiey Thomas wrote: > Sorry to take so much time on this. Was down with coursework because the > semester end is nearing. Not a problem -- that sort of thing is affecting a lot of people at the moment! > I used the latest development version which is 1.3.5 for this patch. > I have implemented the $match function and it works fine when I

On Mar 29, 2016 4:49 PM, "Olly Betts" <olly at survex.com> wrote: > > On Tue, Mar 29, 2016 at 11:41:02AM +0100, James Aylett wrote: > > It's probably helpful to create a ticket and claim it (and update the > > project ideas list to link to it), so other people don't try to work > > on it as well. (I have a feeling that it might have been among the