similar to: DierckxSpline fitting with different sets of y-values in one time

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 =

Hi, All: How do I get information about the "R CMD check / build / install" process, especially regarding what software to install and how to configure it under Windows XP? I ask, because "R CMD check" complained, "gfortran: Command not found". I found 'gfortran-sjlj.exe' in 'C:\Program Files\R\Rtools\MinGW\bin', which is in the

After many months, I am now banging my head against the wall because I can't find a solution to this seemingly trivial problem.&nbsp; Any help would be appreciated: I am trying to apply a nonlinear fitting routine to a 3D MR image on a voxel-by-voxel basis.&nbsp; I've tested the routine using simulated data and things went well.&nbsp; As for the real data, the fitting routine

Hello: Under my Windows 7 system, "R CMD check DiercxkSpline_1.1-5.tar.gz" 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

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

Based on the examples I've seen in using statistical analysis packages such as lmer, it seems that people usually tabulate all the input data into one file with the first line indicating the variable names (or labels), and then read the file inside R. However, in my case I can't do that because of the huge amount of imaging data. Suppose I have a one-way within-subject ANCOVA with

Dear colleagues, I have an image which I can display in the greyscale using image. On this image, for some pixels, which I know, I want to display their activity based on a third measure. One way to do that would be to color these differently, and use an opacity measure to display the third measure. An example of what I am trying to do is at:

Hi everyone, I'm not exactly sure how to ask this question most clearly, but I hope that giving the context in which it occurs for me will help: I'm trying to compare the brain images of two patient populations; each image is composed of voxels (the 3D analogue of pixels), and I have two images per patient, one reflecting grey matter concentration at each voxel, and the other reflecting

Hello! I have a problem which I have tried to solve for several days now.. I have plottet a lineplot.CI in the library "sciplot", and I am trying to plot it with a logaritmic y-axis (with exponential base). The problem is that; when I type "log "y"", the axis transforms into the logaritmic of base 10. I wonder if someeone could tell me how to specify that I would

Hello! Thank you for answering! What I am trying to do is to plot my raw values (biomass of different species) on a logaritmic y-axis with the base of e. When I type "log="y"", the axis transforms into a logaritmic axis with the base of 10. Best regards, Elisabeth > Dear Elisabeth, > > I'm not sure if I have understood your question -- are you trying > to

Hi, Can someone help me with the following? I currently have the following plot: plot(c(0,14,0,14),c(0,5,0,5),ann = FALSE, xaxs="i", yaxs="i",bty="L" ) polygon(c(0,18,18), c(0,6,0), col='light grey', border = NA) polygon(c(0,18,18), c(0,2,0), col='grey', border = NA) However, I would like to make such a plot, but where there is a continuous shading

Hello Ted! Thank you a lot for your reply!!! I will try to explain again; what I want is a logarithmic scaled y-axis with the base of e (not 10). And the values I would like to use in the plot are the raw values (not transformed in any way). Do you still think that the base of log does not matter in this case (wheather it is e or 10 as a base)? Elisabeth > On 09-May-10 18:10:27, Elisabeth

I have probably trivial problem in OpenSSH installation, but do not see it - could you help, please ? The libcrypto has been installed. caroubier% ls -l /usr/local/ssl/lib/libcrypto.a -rw-r--r-- 1 root other 2778744 Nov 19 17:53 /usr/local/ssl/lib/libcrypto.a But the openssh stops with Can't find recent OpenSSL libcrypto. Thank you very much in advance, Elisabeth Porteneuve --

I've written a series of functions that evaluates an integral from -inf to a or b to +inf using equally spaced quadrature points along a normal distribution from -10 to +10 moving in increments of .01. These functions are working and give very good approximations, but I think they are computationally wasteful as I am evaluating the function at *many* points. Instead, I would prefer to use

Hello, after I fixed one problem, the next one raised up. I am trying to create a guest domain. I specified the configurations in /etc/xen-tools/xen-tools.conf and I ran $sudo xen-create-image --hostname=virtualrouter1 --role=udev the output is: sudo: xen-create-image: command not found I searched all directories for a file with this name but couldn''t find any. Is this possible? I am

Hi, I am new to R, and am trying to solve the following optimization problem: This is a nonlinear least squares problem. I have a set of 3D voxels. All I need is to find a least squares fit to this data. The data model actually represent a cube-like structure, consisting of seven straight lines. The lines have some intersections (and at this intersection both of the participating lines end).

Hi, I am looking for an R package that would calculate multivarite (mostly 2d and 3d, tensor) cubic interpolating splines, so that I could evaluate these splines (and their derivatives) at many points (unkown at the time of calculating the spline polynomials) repeatedly. To make things concrete, I have an array V with dim(V) = k and gridpoint vectors grid=list(...), length(grid[[i]])==k[i],

I'm using samba 2.2.3a as fileserver and domaincontroller for 12 NT4-clients (sp6a) and occassionally - when a user tries to logon - there comes the following messages on the nt-client: - No Windows NT Domain Controller is available for domain XXXX. There are currently no logonservers available to service the logonrequest. - and - server-side profile not available. The OS tries to log you on

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

CRAN (and crantastic) updates this week New packages ------------ * bdoc (1.0) Michael Anderson http://crantastic.org/packages/bdoc This package contains a function that will classify DNA barcodes as well as a few test and reference data sets. * bdsmatrix (1.0) Terry Therneau http://crantastic.org/packages/bdsmatrix This is a special case of sparse matrices, used by coxme and