similar to: Problem with dyn.load in R1.6.1

I am trying to get a dll compiled for use with dyn.load. I use R.1.7.1 under Windows. I have tried the following trivial example based on the "Writing R extensions" manual. rtest.h -------- class X { public: X (); ~X (); void Give7(double*); }; class Y { public: Y (); ~Y (); }; rtest.cpp --------- #include <iostream.h> #include "rtest.h" static Y y;

I'm trying to fit a mixed-effects model of the form Y = a + bX + cZ + e where X are fixed effects and Z are random. i.e., c is a vector of random coefficients with mean 0. There is no "grouping" variable such as would be used with longitudinal data. Can the nlme package handle this sort of thing? Although it is a simpler model than would be used with grouped data, I can't seem

Has anyone got a function for smooth monotonic interpolation of a univariate function? I'm after something like the NAG function PCHIM which does monotonic Hermite interpolation. Alternatively, montononic cubic spline interpolation. Please reply directly. Rob Hyndman ___________________________________________________ Rob J Hyndman Associate Professor & Director of Consulting

I'm not sure who is responsible for quantile(), but I assume they read this list. Ivan Frohne and I have produced a revision of the quantile.default() function which enables the computation of alternative sample quantile definitions. The code and .Rd file are attached. This enables the user to produce quantiles that are equivalent to those in various statistics package. There is a type

Hello. For building REmbeddedPostgres in Omegat project(http://www.omegahat.org/RSPostgres/) requiring PostgresSQL's libs, I've tried to build R1.6.1 on Cygwin following the instruction of http://www.stats.ox.ac.uk/pub/Rtools/ since full-spec PostgresSQL running on Windows can run only on Cygwin environment, However I've got following error messages. make -C front-ends Rpwd

Using forecast package. http://www-personal.buseco.monash.edu.au/~hyndman/Rlibrary/forecast/ Best Regards. Message: 50 Date: Thu, 18 May 2006 18:50:15 -0400 From: "Wensui Liu" <liuwensui en gmail.com> Subject: To: Michael <comtech.usa en gmail.com> Cc: R-help en stat.math.ethz.ch Message-ID: <1115a2b00605181550i1e718124p3ec01f4f70ed9f02 en mail.gmail.com>

>>>>> Martin Maechler <maechler at stat.math.ethz.ch> >>>>> on Mon, 27 Feb 2017 10:42:19 +0100 writes: >>>>> Rob J Hyndman <Rob.Hyndman at monash.edu> >>>>> on Wed, 15 Feb 2017 21:48:56 +1100 writes: >> The generic stats::median method is defined as median <- >> function (x, na.rm = FALSE)

Hello R help I have been trying to use Rob Hyndman's monotonically increasing spline function. But like another user or two seem have a problem with a missing DLL (namely "spline_coef"). None of the previous help postings seemed to have any solutions to this problem. As per a Ripley suggestion I have deleted all previous versions of R and reinstalled R 2.7.0 and the problem

The generic stats::median method is defined as median <- function (x, na.rm = FALSE) {UseMethod("median")} I suggest that this should become median <- function (x, na.rm = FALSE, ...) {UseMethod("median")} This would allow additional S3 methods to be developed with additional arguments. Currently I have to over-ride this generic definition in the demography

Can we please have a ... argument in median() to make it possible to pass arguments to specific methods. _____________________________ Rob J Hyndman Professor of Statistics, Monash University Editor-in-Chief, International Journal of Forecasting http://www.robhyndman.info/ [[alternative HTML version deleted]]

For some reason, the help file on quantile() says "Missing values are ignored" in the description of the x argument. Yet this is only true if na.rm=TRUE. I suggest the help file is amended to remove the words "Missing values are ignored". Rob _____________________________ Rob J Hyndman Professor of Statistics, Monash University Editor-in-Chief, International Journal of

Dear R-Users, How can I compute simple moving averages from a time series in R? Note that I do not want to estimate a MA model, just compute the MA's given a lenght (as excel does). Thanks ________________________________________ Ricardo Gonçalves Silva, M. Sc. Apoio aos Processos de Modelagem Matemática Econometria & Inadimplência Serasa S.A. (11) - 6847-8889 ricardosilva@serasa.com.br

Hi, can you advise me is there any ROC(Receiver Operating Characteristic)analysis program in R? Thanks, Dechao ===== Dechao Wang Tel: (44) 01223 719718 Mob: (44) 07729 411134 __________________________________________________ Everything you'll ever need on one web page from News and Sport to Email and Music Charts

>>>>> Rob J Hyndman <Rob.Hyndman at monash.edu> >>>>> on Wed, 15 Feb 2017 21:48:56 +1100 writes: > The generic stats::median method is defined as median <- > function (x, na.rm = FALSE) {UseMethod("median")} > I suggest that this should become median <- function (x, > na.rm = FALSE, ...)

Dear all, I'm looking for how can I estimate a linear model with ar(ma) errors : y(t)=a*X(t)+e(t) with P(B)e(t)=Q(B)u(t) where u is a white noise and P, Q are some polynomes. Could you help me ? Gr?gory Benmenzer

Hello. I have an R program that calls gawk (GNU Awk 3.06 for Windows) from within pipe() to preprocess a large file before it is read into a data frame with read.table(). I've recently upgraded from Win98SE to WinXP, and have also upgraded from R1.5.0 to R1.6.1 over the past month or so. This program worked before the upgrade(s), but now fails. I observe the following sort of behavior with

Dear R Users, I am working for the United Nations to construct a complete life table from an abridged table. I want to use the code of Hydman Filter by Rob J Hydman but an error sentence always appears and it simply doesn't run-- source("C:/R/Jamie/HymanFilter.R") Error in .C("spline_coef", method = as.integer(method), n = nx, x = x, : C symbol

Hello, I have a several time series, which I would like to check for their best fitted Arima model (I am checking for the lowest aic value). Which lets me raise two questions: 1) is there are more efficient way, than using 6 for-loops? 2) sometimes the system cannot calculate with given parameters - is there a more efficient solution than I found? I hope, you can help me to make this

Hi, there might be a bug in read.delim (also read.table) in R.1.6.2. I included the correct input done in R1.6.1 first, then the wrong input in R1.6.2. The discrepancies are highlighted in red. Michael Man ####### correct input in R1.6.1 ########################## > version _ platform i386-pc-mingw32 arch i386 os mingw32 system i386,

The decompose() function truncates the seasonal component unnecessarily. I've modified the function to fix this problem, and also added the original data to the object returned (to enable better plotting). I've also modified the plot.decomposed.ts() function so that it plots the original data in the top panel rather than the reconstructed data. The difference between the two is that the