similar to: R for Computational Neuroscience?

Hello- I am using R to build my initial models, but need to use AMOS to compare the models of two groups (adults vs. kids). The problem is I am getting different results with R and AMOS for the initial models of the separate groups (and the R results make more sense). The parameter estimates (path coefficients and variances) from both programs are nearly identical, but the model chi-squares

Dear Colleagues, I've recently upgraded to SUSE-LINUX 9.0 and R 1.8.1 (using the RPM-'s from CRAN). I've checked that all required LINUX-Packages as listet in the README.html in /bin/linux/SUSE are installed. I've then tried to INSTALL and check a package. Installation with R CMD INSTALL -l Rcontrib aws * Installing *source* package 'aws' ... ** libs make:

Full_Name: Karsten Tabelow Version: R-2.3.1 OS: AIX5.3 Submission from: (NULL) (62.141.176.2) Specification in config.site: CC=xlc_r CFLAGS='-O -qstrict' F77=xlf_r FFLAGS='-O -qstrict' SHLIB_LDFLAGS='-G' DYLIB_LDFLAGS='-G' LDFLAGS='-brtl' CXX=xlc++_r CXXFLAGS='-O -qstrict' Complilation error in src/main/printutils.c: "printutils.c",

Full_Name: Jörg Polzehl Version: 1.8.0 OS: Windows XP Submission from: (NULL) (62.141.176.1) I encountered a problem when playing with the mle library and specifying negative starting values for the parameters. The reason seems to be an incorrect behaviour of function formals: glike<-function(a=1,b=1,c=1) a > formals(glike) $a [1] 1 $b [1] 1 $c [1] 1 > unlist(formals(glike)) a b c

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 fmri is a contributed package for R, that implements functions for analyzing single-subject fmri data with structural adaptive smoothing methods. New in version 1.2-6 - -------------------- ~ - new function cutroi() ~ - plot.fmridata() is now able to produce anatomical overlay for pvalue ~ data for AFNI, and NIFTI data ~ - read.AFNI() should

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 fmri is a contributed package for R, that implements functions for analyzing single-subject fmri data with structural adaptive smoothing methods. New in version 1.2-6 - -------------------- ~ - new function cutroi() ~ - plot.fmridata() is now able to produce anatomical overlay for pvalue ~ data for AFNI, and NIFTI data ~ - read.AFNI() should

Full_Name: Joerg Polzehl Version: 2.3.1 OS: x86_64, linux-gnu Submission from: (NULL) (62.141.176.22) I observed an incorrect behavior of function deriv when evaluating arguments of dnorm deriv(~dnorm(z,0,s),"z") expression({ .value <- dnorm(z, 0, s) .grad <- array(0, c(length(.value), 1), list(NULL, c("z"))) .grad[, "z"] <- -(z * dnorm(z))

Full_Name: Jörg Polzehl Version: 1.5.1 OS: Windows 2000 Submission from: (NULL) (193.175.148.198) When calculating MLE's in a variance component model using constrained optimization, i.e. optim(...,method="L-BFGS-B",...) I observed an inproper behaviour in cases where the likelihood function was evalueted at the constraint. Parameters and value of the function at the constraint

Hi all, I have data from an experiment with 3 independent variables, 2 are within and 1 is between. In addition to the dependent variable, I have a covariate that is a single measure per subject. Below I provide an example generated data set and my approach to implementing the ANCOVA. However the output confuses me; why does the covariate only appear in the first strata? Presumably it should

Full_Name: Joerg Polzehl Version: 0.90.1 OS: Digital UNIX V4.0F Submission from: (NULL) (192.124.249.126) The dimension attribute in function density is not handled correctly (or at least differently from S) : z_rnorm(1000) dim(z)_c(10,10,10) plot(density(z),type="l") # no problem plot(density(z[1,,]),type="l") # Error in if (!(lo <- min(hi, IQR(x)/1.34))) (lo <-

Dear R users I have a two-dimensional array, whose values I want to plot, using the pixmapGrey class. Plotting works fine, and now I would like to be able to identify some of the points in the plot using identify(). But I get the following message while pressing the left mouse button: > plot(pixmapGrey(fmri.vtc[,,slice,volume])) > identify(fmri.vtc[,,slice,volume]) warning: no point with

I think I have the same problems as: http://gluster.org/pipermail/gluster-users/2011-June/007980.html and http://gluster.org/pipermail/gluster-users/2011-May/007697.html Recently I installed Glusterfs 3.2.0 on four workstations which share a total of 28TB of disk-space between them for batch processing of FMRI and DTI data. Had the same setup between three workstations and 9TB with Glusterfs

Hi sorry if this is the wrong place to post but I'm not sure where to go to and I'm a bit desperate. We just brought our Sunfire 6800 server and Storedge 9960 RAID array Solaris 8 back up after some maintenance and everything came back up 'clean' but I cannot get our SAMBA software to recognise any users or directories when logging in remotely from an apple or windows box.

Hi all, Where f(x) is a logistic function, I have data that follow: g(x) = f(x)*.5 + .5 How would you suggest I modify the standard glm(..., family='binomial') function to fit this? Here's an example of a clearly ill-advised attempt to simply use the standard glm(..., family='binomial') approach: ######## # First generate some data ######## #define the scale and location of

CRAN (and crantastic) updates this week New packages ------------ * bisectr (0.0.2) Maintainer: Winston Chang Author(s): Winston Chang <winston at stdout.org> License: GPL-2 http://crantastic.org/packages/bisectr Tools to find bad commits with git bisect * CUMP (1.0) Maintainer: Xuan Liu Author(s): Xuan Liu <liuxuan at bu.edu> and Qiong Yang <qyang at bu.edu>

Hi guRus, I'm looking for advice on a good way to approach analysis of some multi-level data I've obtained. I had humans classify words and measured response time. Words were 10 positive words ("happy", "joy", etc) and 10 negative words ("sad","grumpy", etc). Words were also presented in either white, red or green color. All variables were

All, Thanks for all of your help & advice! I created a plot starting with qqnorm, if I remember right, but I had to add a LOT of extras. I was surprised that it doesn't include the probability (e.g. 50% at mean) and instead provides the standard deviations (e.g., 0 at mean) on the axis. Plus, there is no line through Q1 & Q3 to help give a sense of the normality of the graph.

Hi, Can you please help me? Whenever I try to run f.ica.fmri.gui(), R crashes. In the GUI, I selected an *.img file and I checked the 'Create mask' box and I typed a name for the object and then I press 'Start' button. Then in the R Console window it said 'Reading...Whitening', but after the Whitening message an error window popped up and then R crashed. Did I do something

--=====================_24736660==_ Content-Type: text/plain; charset="iso-8859-1"; format=flowed Content-Transfer-Encoding: quoted-printable SVD-Error on R 1.1.0 Windows 98 I get the following error applying svd on a positive definite matrix : > sk2 [,1] [,2] [,3] [,4] [,5] [1,] 1.0460139783 0.084356992 -2.810553e-04

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