similar to: adapt package missing because of licensing issue: fix?

Dear all mailing listers, I failed in install source packages in Windows system. I have installed Rtools in order to install the source package based on the discussion available on the following link: http://r.789695.n4.nabble.com/Installing-a-Package-tar-gz-in-windows-td3411393.html. By the way, only installing the Rtools is ok, isn't it? Do I need to run the Rtools? >

Announcement: mvtnorm Multivariate Normal and T Distribution mvtnorm implements two R functions for the computation of the multivariate t and normal distribution: pmvt: Computes the the distribution function of the multivariate t distribution for arbitary limits, degrees of freedom and correlation matrices based on algorithms by Genz and Bretz. pmvnorm: Computes the distribution

Announcement: mvtnorm Multivariate Normal and T Distribution mvtnorm implements two R functions for the computation of the multivariate t and normal distribution: pmvt: Computes the the distribution function of the multivariate t distribution for arbitary limits, degrees of freedom and correlation matrices based on algorithms by Genz and Bretz. pmvnorm: Computes the distribution

Hi All, I'd like to ask for a few clarifications. I am doing some calculations over some biggish datasets. One has ~ 23000 rows, and 6 columns, the other has ~620000 rows and 6 columns. I am using these datasets to perform a simulation of of haplotype coalescence over a pedigree (the datestes themselves are pedigree information). I created a new dataset (same number of rows as the pedigree

Hi, I try to compute critical value for multivariate normal distribution, and I find the crit(fit, const = c(0, 1), d = 1, cov = 0.95, rdf = 0) which seems to compute critical value. However, I can't compute right critical value for multivariate normal distribution which I want. I don't know how to solve my question. I send my question in the file. Would you help me to solve it, please?

Suppose I have the following function myFun <- function(formula, data){ f <- formula(formula) dat <- model.frame(f, data) dat } Applying it with this sample data yields a new dataframe: qqq <- data.frame(grade = c(3, NA, 3,4,5,5,4,3), score = rnorm(8), idVar = c(1:8)) dat <- myFun(score ~ grade, qqq) However, what I would like is for the resulting dataframe (dat) to include

Dear R-help list members, I have created a package 'mnormt' with facilities for the multivariate normal and t distributions. The core part is simply an interface to Fortran routines by Alan Genz for computing the integral of two densities over rectangular regions, using an adaptive integration method. Other R functions compute densities and generate random numbers. The starting

Dear Zongshan Li, I'm forwarding this back to r-help ... it's generally best to keep the conversation going in public, so that (a) other people can chime in with ideas and suggestions, (b) your question doesn't get lost if the original respondent doesn't have time to deal with it, (c) the answers are archived for future reference. Your example (I've attached it, hope it

Does anyone have an address for a maintainer, or know what's going on? cheers Ben Bolker ben at bolker-lap2:~$ ping wiki.r-project.org PING econum.umh.ac.be (193.190.194.5) 56(84) bytes of data. ^C --- econum.umh.ac.be ping statistics --- 8 packets transmitted, 0 received, 100% packet loss, time 6999ms ben at bolker-lap2:~$ traceroute wiki.r-project.org traceroute to

[cc'ing to R-devel] It's moderately obscure to me too, but ... There are two sets of bessel code in the package, one in C++ from Chris Bond and the other in FORTRAN from Netlib (I think). The FORTRAN code is the one that's giving trouble, you might try just removing the FORTRAN code from the src directory and trying again.

Just want to let whoever may be interested to know that the adapt function (package adapt) for multivariate integration may "cheat". A student here made a function f(x,y)=g(x)g(y) on the unit square and sent it to adapt, and adapt happily returned a value between 2 and 3 with an error estimate of the order E-11. He then used a 128-point Legendre quadrature produced by the gaussq.f

Sweave does something clever with warnings, which I have so far been unable to figure out. There are a couple of threads on the list about this, but the best in here is a hack to redirect all the output and stick it back in. http://www.nabble.com/-R--Sweave-and-warning-messages-td7759353.html#a7759353

I am currently attempting to hack the recently featured profileModels package so that it can handle models generated by the lme4 (mixed models) package. I'm getting really confused by different behavior of summary() before and after loading the lme4 package, and inside and outside the profileMethod() function. The basic behavior is that with lme4 loaded, and "obj" a fitted object

The CRAN host in Tampa, FL (cran.hostingzero.net) isn't responding, and hasn't responded in quite a while -- at least problems were reported more than a year ago (Oct 2007) http://finzi.psych.upenn.edu/R/Rhelp02a/archive/116706.html although someone apparently succeeded in July 2008 http://finzi.psych.upenn.edu/R/Rhelp02a/archive/137451.html Perhaps it's just flaky, and not

In the wake of discussions about documentation of R's random number generation (and whether there should be links to .Random.seed in other places), here is a proposed patch to Uniform.Rd from 2.8.1. (Watch out for line breaks.) [R-core may choose not to accept this, but at least it's easy if they want it.] cheers Ben Bolker *** Uniform.Rd.orig 2009-01-04 14:10:47.000000000 -0500

Another dumb ggplot2 question: a facet plot with free x scale, lots of different ranges, want to specify that the x axis ticks be sparse -- only 2 or 3. I was about to say that I could figure out how to manually set the ticks for each facet if necessary, but now that I've looked around some more (at scale_continuous, facet_grid, facet_wrap, the Book ...) I think I can't even do that.

I appreciate Brian and Martin's answers -- and I certainly don't spend as much time & energy maintaining and answering questions about R as they do -- *but* it does seem to me that it would make a number of new (switching) user's lives easier if there were a succinct list of these differences, with a disclaimer ... I would be willing to maintain such a list, but since I

Dear Daniel (and Duncan): back in January you reported that you were having trouble saving an rgl movie on Vista. I don't know if you ever got that resolved, but a student of mine is now having a similar problem, not specific to dynamic graphics (which would have to be a problem outside of rgl anyway). He may report more on the symptoms, but essentially rgl.snapshot produces black or funky

I'm very excited by the new mle package now incorporated in stats4. If possible, I'd like to help develop it. In the past I wrote a similar package (mleprof, available from http://www.zoo.ufl.edu/bolker/R/src), and would like to see if there's anything that my package does that I could contribute (in particular, I'd like to make sure that the code is as robust as possible in

Executive summary: getRemotePkgDepends seems to use the wrong default string to (try to) download the CRAN package information. ======================== Someone asked me about the behavior of tools::pkgDepends() , and in investigating I discovered the following: ## tools:::getRemotePkgDepends ## undebug(tools:::getRemotePkgDepends) tools::pkgDepends("GDD") ## Error in