similar to: Time-machine typo

I was about to show the Rcpp build check results to a user when I noticed that the relevant URL http://cran.r-project.org/web/checks/check_results_Rcpp.html currently yields a 404 error. Spot checking for other package yields the same. Looking at http://cran.r-project.org/web/ shows that no checks/ diretory can be found. Did an NFS mount go down? Cheers, Dirk -- Gauss once played

Dear list, [cross-posting from Stack Overflow where this question has remained unanswered for two weeks] I'd like to perform a numerical integration in one dimension, I = int_a^b f(x) dx where the integrand f: x in IR -> f(x) in IR^p is vector-valued. integrate() only allows scalar integrands, thus I would need to call it many (p=200 typically) times, which sounds suboptimal. The

Dear R-users I would like to integrate something like \int_k^\infty (1 - F(x)) dx, where F(.) is a cumulative distribution function. As mentioned in the "integrate" help-page: integrate(dnorm,0,20000) ## fails on many systems. This does not happen for an adaptive Simpson or Lobatto quadrature (cf. Matlab). Even though I am hardly familiar with numerical integration the implementation

Hello, This simple SVD calculation (commands are copied immediately below) crashes on my Ubuntu machine (R 2.13.0). However it worked fine with R.12 and Ubuntu 10.04, and it also works fine on my Windows 7 machine with R 2.13, so I suspect there's a problem with (my?) Ubuntu and / or R. I'm using the R distribution that is accessible with Ubuntu's repositories manager, I am not

Hi, I have run into a strange issue with Rscript and plyr. When running the following Rscript: #!/usr/bin/Rscript library(plyr) d = ddply(data.frame(a=1:101,b=1:101), .(a,b), nrow) head(d) the script does not terminate. It prints out the results from head(d), but does not return to the shell. By changing the a and b to 1:100, the script returns. The same code running within the R shell works

Hello, For one reason or another, I cannot install Rcmdr on my R 2.12.2 ubuntu 11.4 system. I run R as root When I try to install Rcmdr, then whatever mirror I select, I get the message: install.packages('Rcmdr',dependencies=TRUE) Installing package(s) into ‘/usr/local/lib/R/site-library’ (as ‘lib’ is unspecified) --- Please select a CRAN mirror for use in this session --- Loading Tcl/Tk

Hello folks, Here's is info on what system I'm working on. > sessionInfo() R version 2.13.0 (2011-04-13) Platform: i686-pc-linux-gnu (32-bit) I'm trying to install the XML package. However, I end up with the following error message. > install.packages("XML") .... checking for xml2-config... no Cannot find xml2-config ERROR: configuration failed for package ‘XML’ *

Dear R, I'm doing some simulation work and it takes me a lot of time to do it in R. So I try to implement it in C code, but I want to use some R functions directly for my lazy and the robustness of code. For example, I will use lm and nlm in my program. How could I use R's lm and nlm function directly? I thinks these functions are not included in the R's include directory. Do I need

I am using both nlminb and optim to get MLEs from a likelihood function I have developed. AFAIK, the model I has not been previously used in this way and so I am struggling a bit to unit test my code since I don't have another data set to compare this kind of estimation to. The likelihood I have is (in tex below) \begin{equation} \label{eqn:marginal} L(\beta) = \prod_{s=1}^N \int

I believe this may be more related to analysis than it is to R, per se. Suppose I have the following function that I wish to integrate: ff <- function(x) pnorm((x - m)/sigma) * dnorm(x, observed, sigma) Then, given the parameters: mu <- 300 sigma <- 50 m <- 250 target <- 200 sigma_i <- 50 I can use the function integrate as: > integrate(ff, lower= -Inf, upper=target)

It appears that the revoluton-mkl package, available via the multiverse Ubuntu repository with the purpose of adding multi-threaded numeric libraries to R, is not function correctly with R 2.13 (at least the version found on CRAN). Testing with "R-benchmark-25.R" (found at http://r.research.att.com/benchmarks/), I get the following error, after installing the revolution-mkl package

Hi, I would like to solve a double integral of the form \int_0^1 \int_0^1 x*y dx dy using Gauss Quadrature. I know that I can use R's integrate function to calculate it: integrate(function(y) { sapply(y, function(y) { integrate(function(x) x*y, 0, 1)$value }) }, 0, 1) but I would like to use Gauss Quadrature to do it. I have written the following code (using R's statmod package)

Dear All, I am a long time S user and now a convert to R. As part of my general work in time series I occasionally assist groups of econometricians and others in the finance fraternity. In particular, that community has invested a large amount of time and effort in writing specialised code in Gauss. I am unfamiliar with Gauss (although I have used Matlab which is, I understand, a comparable

Hi all. I thying settings the option "hide unreadable" but not work. I tested in global section and share section, follow my settings now. after various tests. # Global parameters [global] workgroup = BATLAB realm = BATLAB.CORP netbios name = GAUSS server role = active directory domain controller server services = s3fs, rpc, nbt, wrepl,

Greetings fellow R entusiasts! We have some problems converting a computer routine written initially for Gauss to estimate a Markov Regime Switching analysis with Time Varying Transition Probability. The source code in Gauss is here: http://www.econ.washington.edu/user/cnelson/markov/programs/hmt_tvp.opt We have converted the code to R, and it's running without errors, but we have some

hello R users strange behavior of the integrate function! i assume this occurs because of the way in which the quadriture is set up! (any comments.) f=function(x){exp(-exp(-x)-5*x)/gamma(5)} xx=seq(from=-20, to=20, length.out=1000) plot(xx,f(xx),type="l") integrate(f, lower=-Inf, upper= 1) integrate(f, lower=-Inf, upper= 10) integrate(f, lower=-10, upper= 11) integrate(f,

Hi there, i´m have vector of kernels. just like: kernels = c('gauss','epan','rectangular') i know there are density.default$kernels, but thats not my question here. my own kernel functions are running and working. my problem is the following is not working: dev.off() par(mfrow=c(3,3)) for(i in 1:length(bw)) { for(j in 1:length(kernels)) {

For someone who is transitioning away from Windows to Ubuntu for the sake of R, can anyone point me to fail-safe, step-by-step instructions on how to install/upgrade R? I've followed the instructions from other threads here but still get 2.12.1 when I launch R. [[alternative HTML version deleted]]

Hi, I get an error using RcppGSL: fatal error: gsl/gsl_vector.h:No such file or directory. What is the best way to install these files as they seem to be missing? Thanks, Oyvind -- View this message in context: http://r.789695.n4.nabble.com/Error-using-RcppGSL-tp3613535p3613535.html Sent from the R devel mailing list archive at Nabble.com.

Greetings R users, I am an R graphics newbie trying to produce a custom trellis plot using pairs() with R 2.7.2. I have spatial data on which I run a geographically weighted regression (gwr, using the -spgwr- package). I want to check the gwr coefficients for multicollinearity and spatial association, following Wheeler and Tiefelsdorf (2005), and I would like to summarize the results of this