search for: dierckxspline

...h. This was on a package that I built successfully in January under R 2.6.2. Now with R 2.7.0, I can't get it to work. Thanks for your help. Spencer Graves ###################### Contents of "00install.out": installing R.css in D:/spencerg/statmtds/splines/DierckxSpline/DierckxSpline.Rcheck ---------- Making package DierckxSpline ------------ adding build stamp to DESCRIPTION installing NAMESPACE file and metadata making DLL ... gfortran -O3 -c bispev.f -o bispev.o make[3]: gfortran: Command not found make[3]: *** [bispev.o] Error 127 make[2]: *** [srcDy...

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.int...

Dear "R" users, I have a question about the Package DierckxSpline. I have tried to find the answer by myself but it didn't worked out. I wondered if Dierckxspline can use different sets of y values in one time to fit a line with knot. I have different sets of Y values representing the same thing for different voxels (in an fmri image). I have already fitted...

...fails because: f951.exe: sorry, unimplemented: 64-bit mode not compiled in make: *** [bispev.o] Error 1 gfortran -m64 -O2 -mtune=core2 -c bispev.f -o bispev.o f951.exe: sorry, unimplemented: 64-bit mode not compiled in make: *** [bispev.o] Error 1 ERROR: compilation failed for package 'DierckxSpline' A similar problem was reported for package "glmnet" (http://stackoverflow.com/questions/10291189/compiling-glmnet-failed-in-windows) plus one with R 2.14.2 (http://r.789695.n4.nabble.com/Problems-when-building-a-package-for-Windows-64-td4464488.html). However, I get thi...

Suppose I have two variables, x and y. For a fixed number of knots, I want to create a spline transformation of x such that a loss function is minimized. Presumably, this loss function would be least squares, i.e. sum (f(x)-y)^2. The spline transformations would be linear, quadratic or cubic. I know I can solve this problem using some optimization function in R, but I was wondering if anyone

I like what smooth.spline does but I am unclear on the output. I can see from the documentation that there are fit.coef but I am unclear what those coeficients are applied to.With spline I understand the "noraml" coefficients applied to a cubic polynomial. But these coefficients I am not sure how to interpret. If I had a description of the algorithm maybe I could figure it out but as it

I would like to get some idea of which R-packages are popular, and what R is used for in general. Are there any statistics available on which R packages are downloaded often, or is there something like a package-survey? Something similar to http://popcon.debian.org/ maybe? Any tips are welcome! ----- Jeroen Ooms * Dept. of Methodology and Statistics * Utrecht University Visit