search for: diffed

I'll appreciate if some one can help me with the following loop. This is the logic of the loop, if we have the following data; > x.df x.dif . . . . 102 0.00 103 0.42 104 0.08 105 0.00 106 0.00 107 0.00 108 -0.16 109 -0.34 110 0.00 111 -0.17 112 -0.33 113 0.00 114 0.00 115 0.00 116 0.33 117 0.17 118 0.00 . . . . I'm trying to find i's where for (i

Hi Rick Thanks to Dieter Menne I did manage to solve the problem of imposing bounds on the parameter space duirng an nlsList fit. He suggested using optim to optimize the parameters prior to each fit. This worked well for me as I had a customized selfStart function that then optimized the parameters for each individual separately. if you rewrote your selfStart function as: powrDpltInit <-

Hi, In Solairs Dtrace User Guide, page 193, it lists the arguments of ERROR probe. One of these arguments is arg3, it is explained as "The DIF offset into that action or -1 if not applicable". Then what does the abbr. DIF mean? Regards TJ

Dear useRs, I want to write a function that generates all the possible combinations of diff(). Example: If my vector has length 5, I need the diff() until lag=4 -> c(diff(my.vec), diff(my.vec, lag=2), diff(my.vec, lag=3), diff(my.vec, lag=4)) If it has length 4, I need until lag=3 -> c(diff(my.vec), diff(my.vec, lag=2), diff(my.vec, lag=3)) So, it must be until lag=(length(my.vec)-1).

Hi All. I'd like to send some control arguments to the nls function when performing a nlsList analysis. I'm fitting a power model to some grouped data and would like to impose lower bounds on the estimates using the "port" algorithm. Obtaining the lower bound constraint works fine with a direct call to nls for a single level of the grouping variable. ?However, the bounds

Has anyone seen the following error before? "error on enabled probe ID 2 (ID 473: sdt:unix:av_dispatch_autovect:interrupt-complete): invalid address (0x198) in action #3 at DIF offset 20" I''m trying to capture interrupt times as inlined in the below script. The script gives me some output after the errors, and I''m trying to understand if the errors are affecting

I have a semi working 32-bit build of Samba 4.11.0 for Windows based on a patched Cygwin 2.5.2 build. I wondered if anyone knows where a set of DIF files to move it from release 4.11.0 to the latest stable release of 4.19.x (or through each intervening release to that point) could be obtained. I would like to apply changes incrementally to this build to avoid breaking the current work I have in

07.12.2023 22:22, David Bean via samba ?????: > I have a semi working 32-bit build of Samba 4.11.0 for Windows based on a patched Cygwin 2.5.2 build. I wondered if anyone knows where a set of DIF files to move it from release 4.11.0 to the latest stable release of 4.19.x (or through each intervening release to that point) could be obtained. I would like to apply changes incrementally to this

On Fri, Jan 4, 2019 at 11:12 AM Keith Bierman <khbkhb@gmail.com> wrote: > Mac OS X 10.14.2 > VirtualBox 5.2.22 and 6.0.0 > libvirt installed via homebrew.... > > virsh -c vbox:///session list > > error: failed to connect to the hypervisor > > error: internal error: unable to initialize VirtualBox driver API > .... > In case it's helpful, here's

I don't think I understand you entirely, but here are a couple things. You need to shorten the loop so you don't run off the end. You basically just write the code as you've stated it except that "and" is && for single values and & for vectors You don't say what should happen if the test is not true. You can probably use "ifelse" instead of a

Hi all, all.equal is generally very useful when you want to find the differences between two objects. It breaks down however, when you have two long strings to compare: > all.equal(a, b) [1] "1 string mismatch" Does any one know of any good text diffing tools implemented in R? Thanks, Hadley -- Assistant Professor / Dobelman Family Junior Chair Department of Statistics / Rice

Hi! Do not understand following behavior. > summary(test$dif) Min. 1st Qu. Median Mean 3rd Qu. Max. 0.7389 0.9713 0.9850 0.9818 1.0000 1.0000 length(test$dif) [1] 85879 tmp <- hist(test$dif,breaks=100,freq=FALSE) The density on the Y axis in the plot are in the range 0-200. Thought that the density should be in the range 0-1 (something like

Dear useRs, does any of you have suggestions on how to conduct a proper DIF analysis starting from a model of class gpcm (from the wonderful package ltm by prof. Rizopoulos)? difR will handle only dichotomous items, and I have a mix of dicho- and polytomous ones (that's why I chose the partial credit model). I also found the package lordif, but I'm not really sure if that's what I

G''Day Folks, I''ve found another use of dtrace, this makes your console keyboard sound like a typewriter. http://www.brendangregg.com/DTrace/typewriter-0.70.tar.gz I''ve only tested it on an UltraSPARC 5 and a Pentium laptop so far, more to follow. Ok, sorry, not actually a practical use of DTrace. :) Enjoy! Brendan [Sydney, Australia]

Hello all, I'm going to feel dumb if rsync can already do this, but I honestly haven't found anything to indicate that. I would like to be able to store diffed files in a separate directory on the receiver so it makes doing an incremental backup easy and efficient. Let me explain: Day 1: take a full backup of a directory: rsync -r ./source/ ./dest/ Day 2: Diff the contents of ./source/ and ./dest/ and store only the new/modified files in ./incremental_d...

Oh yes, I am diffing the output of some of the tests in order to be sure everything is the same. And running the tests, too. I have a question about the release notes. The current version of LLVM is 10. There are release notes for 12. What happened to poor old version 11? At 8/7/2020 02:55 PM, David Blaikie wrote: >On Fri, Aug 7, 2020 at 11:47 AM Paul C. Anagnostopoulos ><paul at

Anyone knows hat might be the cause of this error? Thanks for any help! >library(MASS) > dif.mns = function(x2,tr1=.2,tr2=.3){ + #generates four different 'means' using + #difference scores from x2, an n x 2 matrix + #for use w/ bootstrap comparisons + diffs = apply(x2,1,diff) + mn1=mean(diffs) + mn2=mean(diffs,tr=.2) + mn3=mean(diffs,tr=.3) +

What''s going on? # dtrace -s iotime_all.d 100 dtrace: failed to enable ''iotime_all.d'': DIF program content is invalid The errant script.... #pragma D option quiet BEGIN { stime = timestamp; io_count = 0; } io:::start /args[2]->fi_pathname != "<none>"/ { start[pid, args[2]->fi_pathname, args[0]->b_edev, args[0]->b_blkno,

R glmmADMB question I am trying to use glmm.admb (the latest alpha version from the R forge website 0.6.4) to model my count data that is overdispersed using a negative binomial family but keep getting the following error message: Error in glmm.admb(data$total_bites_rounded ~ age_class_back, random = ~food.dif.id, : Argument "group" must be a character string specifying the

I need a bigger DIF. Please advise. rick -- Rickey C. Weisner Software Development and Performance Specialist Sun Microsystems, INC cell phone: 615-308-1147 email: rick.weisner at sun.com