similar to: Need Help in a Combinatorial Optimzation Problem

Hello- I have a script which steps through a series of subjects, and for the subjects I remove outlying values. After removing these outliers, I specify a cutoff, keeping only values over a certain value (e.g., 1.96). I want to populate a matrix with a statistic of the values that make the cutoff (for example, the mean). However, in some subjects, after outliers and the cutoff are specified,

Hi, I'm currently working on porting some SAS scripts to R, and hence need to do the same calculation (and get the same results) as SAS in order to make the transition easier for users of the script. In the script, I'm dealing with a two-factorial repeated-measures anova. I'll try to give you a short overview of the setup: - two between-cell factors: facBetweenROI (numbering

Hallo! I have run a EEG experiment and got the following data group: 1 2 1 2 1 2 1 2 ... as factor, 2 levels between subjects fixed effect (patient vs control) subj: 1 2 ... 14 1 2 ... 14 as factor 7 patients 7 control random effect condition: 1 1 ... 2 2 ... 1 1 ... 2 2 as factor, 2 levels within subjects, ie every subject worked on every cond fixed effect roi: 1 ... 2 ... 3 ... 4 ... as factor,

How do we specify a contrast interaction matrix for an ANOVA model? We have a two-factor, repeated measures design, with Cue Direction (2) x Brain Hemisphere(2) Each of these has 2 levels, 'left' and 'right', so it's a simple 2x2 design matrix. We have 8 subjects in each cell (a balanced design) and we want to specify the interaction contrast so that: CueLeft>CueRght

Hi, I'm still trying to figure out that GLM procedure in SAS. Let's start with the simple example: PROC GLM; MODEL col1 col3 col5 col7 col9 col11 col13 col15 col17 col19 col21 col23 =/nouni; repeated roi 6, ord 2/nom mean; TITLE 'ABDERUS lat ACC 300-500'; That's the same setup that I had in my last email. I have three factors: facSubj,facCond and facRoi. I had this pretty

Hi list! I have a data frame called fix and a list of index vectors called rois: > head(rois, 3) [[1]] [1] 2 1 [[2]] [1] 3 [[3]] [1] 6 7 28 26 27 24 25 The part that's causing the issue is the following line: lapply(rois, function(roi) fix$x[roi] <- 100) So for every index vector I'd like to set the respective entries in the data frame (fix) to 100. I

Hi, I have a data frame and want to merge adjacent rows if some condition is met. There's an obvious solution using a loop but it is prohibitively slow because my data frame is large. Is there an efficient canonical solution for that? > head(d) rt dur tid mood roi x 55 5523 200 4 subj 9 5 56 5523 52 4 subj 7 31 57 5523 209 4 subj 4 9 58 5523 188 4 subj 4 7

I'v set the default_mail_env to maildir:/var/maildir/%d/%u where /var/maildir/ is the root dorectory for my maildir tree and I'm getting the folowing error in the maillog : Jan 3 15:16:58 websrv pop3(roi): unlink(/var/maildir//roi/cur/new:2,T) failed: Is a directory Notice that the %d is missing. If I change to 'default_mail_env = maildir:/var/maildir/example.tld/%u' then

Dear All, I am doing experiments in live plant tissue using a laser confocal microscope. The method is called "fluorescence recovery after photo-bleaching" (FRAP) and here follows a short summary: 1. Record/ measure fluorescence intensity in a defined, round region of interest (ROI, in this case a small spot) to determine the initial intensity value before the bleaching. This

I'd like do a simple xyplot with customized order of panels and try to understand how to use index.cond for that. Several attempts didn't deliver the correct results. Now, I noticed the following: > p <- xyplot(dur~roi|trial, data) > p$index.cond [[1]] [1] 1 2 3 4 5 6 7 8 9 10 These numbers are "valid indexing vector for the integer vector

So I have setup my samba box as a PDC and everything is working fine. There is one thing that keeps bugging me: When I run locallly: smbclient -L localhost -U% I get the following: ----------------------------- Domain=[MYDOMAIN] OS=[Unix] Server=[Samba 3.0.14a-2] Sharename Type Comment --------- ---- ------- IPC$ IPC IPC Service

Hi, Recently this commit was pushed to git, changing the default binding for scale to alt + shift + up: http://gitweb.freedesktop.org/?p=xorg/app/compiz.git;a=commit;h=77def1253419e1e0d3335f4c4790471b5130f087 I think this new binding is quite bad for many users who have multiple layouts in their keyboard (like non-latin languages), as alt + shift is commonly used for changing keyboard layouts.

It would help if you post the -O0 and -O1bitcode files. Does it reproduce with opt -O1? If so, use -debug-pass= to figure out when things started going wrong. Does it make sense to compare the bitcode against code generated for x86 target? Evan On Aug 16, 2009, at 11:46 AM, Jim Grosbach wrote: > All, > > The following relatively simple function is behaving oddly under SJLJ >

Folks, I want to build a custom IVR for my setup. I've got it working (well, the bells and whistles are not there yet, but the basic stuff works) using AGI, but I'm worried about how well this will scale. I've seen references to FastAGI, and presumably this will be more efficient. Question, though: how well do either of these (AGI or FastAGI) scale if my system is handling a large

All, The following relatively simple function is behaving oddly under SJLJ exception handling. Specifically, it's being diagnosed by the optimizer as being a nounwind function, which is obviously incorrect. From what I can tell so far, something is going wrong analyzing the call to __cxa_end_catch() invoke arm_apcscc void @__cxa_end_catch() to label %Unwind unwind label

Hi, I'm still not quite there with my H-F (G-G) correction code. I have it working for the main effects, but I just can't figure out how to do it for the effect interactions. The thing I really don't know (and can't find anything about) is how to calculate the covariance matrix for the interaction between the two (or even n) main factors. I've looked through some books

Hi, I'm still not quite there with my H-F (G-G) correction code. I have it working for the main effects, but I just can't figure out how to do it for the effect interactions. The thing I really don't know (and can't find anything about) is how to calculate the covariance matrix for the interaction between the two (or even n) main factors. I've looked through some books

Hello, I am a new r-user, and after a great effort I have made this fantastic figure with qplot: qplot(ROI, CBF, fill=factor(Carrier), data=combinedboxplot_dataset_se_1_CBF, geom="boxplot", position="dodge",xlab=NULL,ylab=("CBF,white matter-normalized"),main=("Differences between carriers and non-carriers on baseline"))+theme_bw() Can anyone help me

Hi everybody, I'm having problems with the barchart command in the lattice package. I'm creating barcharts from matrices with with anything from 20 to 71 columns. When I leave the column names alone, that is they are set in the read.table command (and inherited by subsequent commands) the correct number barcharts is created by the "print(barchart(...))" command.

Preallocation Instruction Scheduling with Register Pressure Minimization Using a Combinatorial Optimization Approach G. Shobaki, M. Shawabkeh and N. Abu-Rmaileh ACM Transactions on Architecture and Code Optimization (TACO). vol. 10, issue 3, Article 14 (Sept. 2013) http://dx.doi.org/10.1145/2512432 Regards Ghassan Shobaki, PH.D Assistant Professor Department of Computer Science Princess Sumaya