similar to: predict.*bSpline() bugs extrapolating for deriv >= 1 (PR#1473)

I'm sure I'm doing something completely boneheaded here, but I've used this idiom (constructing an interpolation spline and using prediction from a backSpline to find an approximation profile confidence interval) many times before and haven't hit this particular problem: r2 <- c(1.04409027570601, 1.09953936543359, 1.15498845516117, 1.21043754488875,

I get the following error: Error in backSpline.npolySpline(sp) : spline must be monotone Has anyone had this error before? any ideas on a workaround? > > vols=read.csv(file="C:/Documents and Settings/Hugh/My > Documents/PhD/Swaption vols.csv" + , header=TRUE, sep=",") > X<-ts(vols[,2]) > #X > > > dcOU<-function(x,t,x0,theta,log=FALSE){ +

Full_Name: David D Degras Version: 2.8.0 OS: Mac OS X Submission from: (NULL) (128.135.239.11) I have recently installed the version 2.8.0 of R along with package fda (v 2.0.2) and its dependencies (including package splines v. 2.8.0). Here are my problems: 1) The package splines should feature functions such a predict.bs, predict.bSpline and such and it does not! I can make calls to bs, ns,

Thanks for the info, Dirk. The tarball builds don't run make check (because of a policy decision that it is better to have the sources available on all platforms for testing than to have none if it breaks on a single platform). However the build as of tonight has no problem with make check on the build machine. Did you by any chance forget that Matrix is a recommended package and expected to

I generally run 'make; make check' (with more settings) when building the Debian package. Running 3.2.4 rc from last night, I see a lot of package loading issues during 'make check'. Here is splines as one examples: checking package 'splines' * using log directory '/build/r-base-3.2.3.20160303/tests/splines.Rcheck' * using R version 3.2.4 RC (2016-03-02 r70270) *

On 4 March 2016 at 09:11, peter dalgaard wrote: | Thanks for the info, Dirk. | | The tarball builds don't run make check (because of a policy decision that it is better to have the sources available on all platforms for testing than to have none if it breaks on a single platform). However the build as of tonight has no problem with make check on the build machine. Did you by any chance forget

Hi Philip, > Aside: From the documentation, it's actually unclear how strong a barrier > ISB actually is. The "fetched after the ISB" gives a lot of room for > interpretation. (i.e. is it legal for a cpu to fetch every instruction in a > function, queue them for execution under wait conditions, *then* fetch the > ISB? This would be a *really* weird implementation,

Dear R-helpers, can I use a POSIXct date as the x variable in interpSpline? The help page says x and y need to be numeric... is there a workaround? example: library(splines) testdfr <- data.frame(Date=seq(as.POSIXct("2008-08-01"),as.POSIXct("2008-09-01"), length=10)) testdfr$yvar <- rnorm(10) sp <- interpSpline(yvar ~ Date, testdfr) preddfr <-

--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

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 >

--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

Hello people. My name is Rub?n. Firts, excuse me for my bad english. I run Debian 6.0.6, kernel 2.6.32-5-amd64 in my machine. I bought a ISB Sola basic UPS, model Micro SR inet, with usb conection. I Configure the nut.conf file in standalone mode and I install de isbmex driver. The ups.conf: [ISB_sola-basic] driver = isbmex port = auto With de command upsdrvctl start the

We currently setup page table walks etc as outer-shareable. Given we don''t really make the distinction between inner- and outer-shareable yet err on theside of safety. Signed-off-by: Ian Campbell <ian.campbell@citrix.com> Cc: Stefano Stabellini <Stefano.Stabellini@eu.citrix.com> Cc: Tim Deegan <tim@xen.org> --- xen/include/asm-arm/flushtlb.h | 4 ++-- 1 files

Here is the example: ID ADDR FLG NRUN BSPL PRI RNRN KRNRN SWITCH THREAD PROC 0 fffffffffbc259b0 1b 1 0 -1 no no t-0 ffffff0003e05c80 (idle) | | RUNNING <--+ +--> PRI THREAD PROC READY EXISTS ENABLE I was told that SWITCH stood for

On 24 June 2014 01:55, Philip Reames <listmail at philipreames.com> wrote: > > On 06/19/2014 09:35 AM, Yi Kong wrote: >> >> Hi all, >> >> I'm currently working on implementing ACLE extensions for ARM. There >> are some memory barrier intrinsics, i.e.__dsb and __isb that require >> the compiler not to reorder instructions around their

Hi Johannes, I came up with the following (assuming that if step[i] is independent of step[i-1] then it is also independent of -step[i-1]): Cheers Joe > # your (unbounded) random walk > k <- cumsum(c(0,sample(c(-1,1), 1000, rep = T))) > > #shift it to positive, to allow following calculations k <- k - min(k) > # set your bound (remember min(k) is now zero) wid <- 10

Dear R-Users, I am using 'contour' to plot a graph using values x,y and a matrix z. I would like to obtain 'smooth lines' instead of no-smooth contour lines. I tried with filled.contour too. In a Post I found yy <-predict(interpSpline(x, y)) I could use that method for each range that I want to plot but I hope to find a easier method. Thank you Tommaso Letterio DIAF - UniFi

Hi, We have an experiment where individuals responses were measured over 5 days. Some responses were not obtained because we only allowed individuals to respond within a limited time-frame. These individuals are given the maximum response time as they did not respond, yet we feel they may have done if given time (and by looking at the rest of their responses over time, the non-response days stand

Hi everyone, I would like to identify the case by groups that is just bigger that avg plus sd. For example, using species as group and petal.wid as my variable in the iris data. What's the better way to doit? creating a function? So,the question is to identify the single element of each species that is just larger than a cut-off point (i.e. larger than mean + sd) I made this, but I can not

Dear all I generated predicted risk of death for each subject in the study by means of Cox proportional hazards model at 8 year of follow-up, a time point at which follow-up was more than 90% complete. It is possible to extrapolate to 10-year the predicted risk of each subjet by assuming an exponential distribution? Any help would be greatly appreciated. Thanks for your consideration.