similar to: Error in coding for splinefun(method = "monoH.FC") (PR#14215)

Hi, In my version of R, the stats package splinefun code for fitting a Fritsch and Carlson monotonic spline does not appear to guarantee a monotonic result. If two adjoining sections both have over/undershoot the way the resulting adjustment of alpha and beta is performed can give modified values which still do not satisfy the required constraints. I do not think this is due to finite precision

--MP_/Rxf/JAvsQx5JLkhZFc9Jmn4 Content-Type: text/plain; charset=US-ASCII Content-Transfer-Encoding: 7bit Content-Disposition: inline G'day Greg, On Mon, 6 Oct 2008 19:50:13 +0200 (CEST) Greg.Snow at imail.org wrote: > This is a low priority bug that has been around for a while, but I > came across it again while alpha testing 2.8. Indeed, that bug must have been around since

--MP_/kvy20nVajVG/n.8m=_ZjLAX Content-Type: text/plain; charset=US-ASCII Content-Transfer-Encoding: 7bit Content-Disposition: inline On Tue, 7 Oct 2008 19:31:03 +0800 Berwin A Turlach <berwin at maths.uwa.edu.au> wrote: > The attached patch (against the current SVN version of R) implements > the latter strategy. With this patch applied, "make check > FORCE=FORCE" passes

I am working with the function: splinefun() ... When plugging in the variables, I get the function program as if though having only entered '"splinefun". only way to get the values is by spline(xxx,yyy, n=length(xxx)/10, ties = mean)$x and spline(xxx,yyy, n=length(xxx)/10, ties = mean)$y. I'm just wondering if there is something wrong with the package or if I'm doing

hello, is it possible to do something like splinefun(x,y), but with a 3rd dim? for example, if i have a 2-dim system like: x<-1:100 y<-rexp(100,1) func<-splinefun(x,sort(y)) func(n) # returns interpolated value of y (after sorting) given x=n # i can check this by: plot(x,sort(y)) lines(spline(x,sort(y))) Can i do the same thing with an x,y, and z? i have found the akima

Hello, Is the an analogous function to splinefun or approxfun for multivariate data sets? For example, if I have a data set w/ x's and corresponding y's, I can use either splinefun or approx fun to find values of y for interpolated values of x. Now, what if I want to do the same thing except with a 3 dim. system? If I have a data set with x's, y's, and corresponding

Is there a way of calculating the derivative of a function returned by splinefun()? Such a function is a cubic spline, whence it has a calculable derivative, but is there a (simple) way of getting at it? One workaround that I have thought of is to take a fine grid of points, evaluate the function returned by splinefun() at these points, put an interpolating spline through these points using

This is a low priority bug that has been around for a while, but I came acr= oss it again while alpha testing 2.8. The resulting function for splinefun gives incorrect deriv values when x is= less than the smallest x-value used to create the function (at least in on= e circumstance), but does the correct thing for x greater than the largest = x-value. Here is an example: > x <- 1:10 >

At present R has separate functions "spline" and "splinefun". The first of these carries out spline interpolation of a data set and returns the interpolated values; the second returns the interpolating function itself (approx and approxfun are similar). I would like to combine these into a single function "spline" with an (optional) argument which determines which

I've rolled up R-2.11.1.tar.gz a short while ago. This is an update release, which fixes a number of mostly minor issues. The most annoying one was probably the problem with format.POSIXlt causing C stack overflow on long date vectors. See the full list of changes below. You can get it from http://cran.r-project.org/src/base/R-2/R-2.11.1.tar.gz or wait for it to be mirrored at a CRAN site

I've rolled up R-2.11.1.tar.gz a short while ago. This is an update release, which fixes a number of mostly minor issues. The most annoying one was probably the problem with format.POSIXlt causing C stack overflow on long date vectors. See the full list of changes below. You can get it from http://cran.r-project.org/src/base/R-2/R-2.11.1.tar.gz or wait for it to be mirrored at a CRAN site

I have design with two repeated-measures factor, and no grouping factor. I can analyze the dataset successfully in other software, including my legacy DOS version BMDP, and R's 'aov' function. I would like to use 'Anova' in 'car' in order to obtain the sphericity tests and the H-F corrected p-values. I do not believe the data are truly deficient in rank. I

Hello, I am struggling to overcome following problem: I have matrix Vf and matrix V, which both have 3 columns and I want to create a spline function basing on coordinates from this matrices (more precisely coordinates of function nr 1: x are taken from Vf[,1] and y are taken from V[,1] respectively), because function apply() base on 1 argument I made it in this way:

To whom it may concern I made some analysis with R using the command Anova. However, I found some problmes with the output obtained by selecting type II o type III sum of squares. Briefly, I have to do a 2x3 mixed model anova, wherein the first factor is a between factor and the second factor is a within factor. I use the command Anova in the list below, because I want to obtain also the sum

Can you provide a complete reproducible example? Sent from my iPhone > On May 1, 2016, at 6:51 AM, Peter Ruckdeschel <peter.ruckdeschel at web.de> wrote: > > Hi r-devels, > > we are seeing a new problem with our packages RobAStRDA (just new on CRAN, thanks > to Uwe and Kurt!) and RobExtremes (to be submitted). > > It must be something recent with the way you

Hi r-devels, we are seeing a new problem with our packages RobAStRDA (just new on CRAN, thanks to Uwe and Kurt!) and RobExtremes (to be submitted). It must be something recent with the way you internally treat/store byte-code compiled functions, as we have no problems with R-3.1.3, but do see an "Error in fct(x) : byte code version mismatch" with R-devel SVNrev r70532. Background:

Dear All, Folks at the West Bengal University of Technology has set up a mirror to distribute R and associated packages. Here is the URL: http://mirror.wbut.ac.in/CRAN This will be helpful for R users in South Asia and the adjoining countries. I have yet to see the site featured in the CRAN list of mirrors. What needs to be done? For those of you who are impatient and would like to give it a

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

I can't reproduce the more complex version. But the package on CRAN fails in the same way on 3.2.3 and 3.3.0. The problem is that your sysdata.rda includes a function that is generating this error. If you do f <- getFromNamespace(".RMXE", ns ="RobAStRDA")[["GEVFamily"]][["fun.N"]][[1]] g <- get("fct", environment(f)) and look at the

--AZaLVt6Pw+ Content-Type: text/plain; charset=us-ascii Content-Description: message body text Content-Transfer-Encoding: 7bit Dear all, I was looking at "splinefun" and the underlying C code and believe that there is a memory access error in the C routine "spline_eval". Specifically, on line 368 and following the following code appears: if(ul < x[i] || x[i+1] < ul)