similar to: Functional Data Analysis, fda_1.2.4

Hello, I am using library fda and I can not run a lot of functions because I receive the error: Error in bsplineS(evalarg, breaks, norder, nderiv) : couldn't find function "spline.des" do you know how I can fix that? Thnaks. Liliana

I've just encountered a segfault when using DierckxSpline::percur function. Below is the minimal example which triggers the error: --- library(DierckxSpline) x <- 1:10 y <- rep(0, 10) pspline <- percur(x, y) --- *** caught segfault *** address (nil), cause 'memory not mapped' Traceback: 1: .Fortran("percur", iopt = as.integer(iopt), m = as.integer(m), x =

Dear all, I'm trying to use the Pspline add-on package to fit a quintic spline (norder =3), but I keep running into a Singularity error. > traj.spl <- smooth.Pspline(time, x, norder=3 ) Error in smooth.Pspline(time, x, norder = 3) : Singularity error in solving equations > Playing around with the other parameters produces an "unused arguments" error: > traj.spl

Hey all, I seem to be having trouble fitting a spline to a large set of data using PSpline. It seems to work fine for a data set of size n=4476, but not for anything larger (say, n=4477). For example: THIS WORKS: ----------------------------- random = array(0,c(4476,2)) random[,1] = runif(4476,0,1) random[,2] = runif(4476,0,1) random = random[order(random[,1]),] plot(random[,1],random[,2])

To whom it may concern, I don't know whether this is really a bug with the Pspline package or only a problem with my installation. Things work fine in Linux but not in Mac OS X (Darwin). Both system run the latest public versions of R and Pspline. predict.smooth.Pspline produces only NaN instead of predicted values when norder>2: > library (Pspline) > tt <- seq

Hi All, I want to fit a piecewise spline of degree 1, i.e. a spline consisting of a straight line over each piece. I downloaded the R package pspline, then I have following questions: 1. in the program, the degree of the spline is specified by 2*norder-1. Why do they adopt such scheme that we can only fit a spline with odd degree? 2. norder cannot be set to 1. Is there any specific reason

Hello I am looking for a function to create an Integrated (I) spline basis, somehting similar to the likes of 'bs' and 'ns'. I have come across the funcitons, fda::eval.monfd Values of a Monotone Functional Data Object fda::/.fd FDA internal functions fda::monfn Evaluates a monotone function fda::smooth.monotone Monotone

Hello, I am using R and the smooth.Pspline function in the pspline package to smooth some data by using natural cubic splines. After fitting a sufficiently smooth spline using the following call: (ps=smooth.Pspline(x,y,norder=2,spar=0.8,method=1) [the values of x are age in years from 1 to 100] I tried to check that R in fact had fitted a natural cubic spline by checking that the resulting

It happens in the fda package because some of the headers are longer than typical (e.g., "Repository/R-Forge/DateTimeStamp") and formatDL dies if the indent argument is too large compared to the width argument. It might be nice to change formatDL so it never gave such an error, but did something reasonable when the 'indent' argument was too big. Changing if (indent >

Hello: I tried "debug(help)" with the problem mentioned below. It stopped with a call to "library", from which I generate the following simple replication of this error: > library(help = 'fda', character.only = TRUE) Error in formatDL(nm, txt, indent = max(nchar(nm, "w")) + 3) : incorrect values of 'indent' and 'width'

Hello, to plot the result of a singular non linear regression (using nls) I usually use the function plotfit, for example: r.PTG.V<-nls(PTG.P~ fz1(Portata, a,b), data=dati, start=list(a=10, b=10), nls.control(maxiter=200), algorithm='port', trace=TRUE, na.action=na.omit, lower=list(a=0, b=10), upper=list(a=100, b=100)) plotfit(r.PTG.V) I tried to use the function plotfit on the

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,

This error can arise when getOption("width") is too small. 80 seems to be the limit for me with R-3.3.2 on Windows. Bill Dunlap TIBCO Software wdunlap tibco.com On Wed, Mar 8, 2017 at 10:28 PM, Spencer Graves <spencer.graves at prodsyse.com> wrote: > Hello: > > > I tried "debug(help)" with the problem mentioned below. It stopped > with a call to

Here are the functions documented in the Blue Book that I found missing in R (ignoring the ones which are obviously outdated). aggregate allocated amatch axes chull clorder cutree cycle date debugger dget discr faces interp l1fit labclust lag loglin monthplot mstree mulbar napsack odometer persp plclust plotfit rep.int restore rreg sabl sablplot set.seed smooth sort.list Stable stars

Hi, All: What might cause "R CMD check" to report, "could not find function" for a function that has long been in the 'fda' package? Both Jim Ramsay in Ottawa, Canada, and I in San Jose, CA, get this same error. I replicated it with a fresh, anonymous checkout from R-Forge (svn checkout svn://svn.r-forge.r-project.org/svnroot/fda). With this, I did

fda 1.2.3 ======================== Version 1.2.3 of the fda package has just been released. This version adds to previous versions a script to create most of the figures of chapter 6 of "Applied Functional Data Analysis" by Ramsay and Silverman. Other changes offer simpler calls to time warping / registration and functional principal component functions. The fda package supports the

The fda package supports "Functional Data Analysis" and "Applied Functional Data Analysis" by Bernard Silverman and James Ramsay. Functional data analysis, which lots of us like to call "FDA", is about the analysis of information on curves or functions. FDA is a collection statistical techniques for answering questions like, "What are the main ways in which the

The fda package supports "Functional Data Analysis" and "Applied Functional Data Analysis" by Bernard Silverman and James Ramsay. Functional data analysis, which lots of us like to call "FDA", is about the analysis of information on curves or functions. FDA is a collection statistical techniques for answering questions like, "What are the main ways in which the

>>>>> Spencer Graves >>>>> on Mon, 27 Jan 2020 23:02:28 -0600 writes: > ????? Thanks for the reply. > On 2020-01-27 19:56, Abby Spurdle wrote: >> Maybe I'm missing something really obvious here, but I was unable to >> create a matrix out of POSIXct object(s). >> Perhaps that deserves a separate discussion...? yes,

Dear friends - I am trying to understand fda and working with the 2009 book from Springer. I run the scripts directly from a new installed fda library and include sessionInfo() below. This is from the script fdarm-ch09.R - I seem to have got not fda_2.2.8 but 2.2.7 - is that the problem? Where do I get .8 as I just reinstalled? Best wishes Troels Ring, Nephrology Aalborg, Denmark >