search for: ctt

I am trying to simulate a dataset using Parallel Latent CTT model and this is what i have done so far: (START) #Importing psych library for all the simulation related functions library(psych) # Settting the working directory path to C:/NCME path="C:/NCME" setwd(path) #Using the function to generate the data GenData <- congeneric.sim(N=50...

Hello, I want to compute Wainer et al's augmented subscore(2001) using IRT but I can't find any packages or relevant code. There is a 'subscore' package in R, but I think it only gives functions to calculate augmented subscores using CTT(classical test theory). Is there other package or code to compute subscores using IRT? If it is not, is there any plan to develop it in short period? Best regards, Hyunju Kim [[alternative HTML version deleted]]

...gt; > Hello, > > > > I want to compute Wainer et al's augmented subscore(2001) using IRT but I > can't find any packages or relevant code. > > There is a 'subscore' package in R, but I think it only gives functions to > calculate augmented subscores using CTT(classical test theory). > > Is there other package or code to compute subscores using IRT? If it is > not, is there any plan to develop it in short period? > > > > > > > > Best regards, > > Hyunju Kim > > [[alternative HTML version deleted]] >...

...not clear on exactly the right syntacs to use for this. usr/share/ |-- applications | `-- labview82.desktop |-- applnk | `-- Applications | `-- LabVIEW.kdelnk |-- config | `-- kdeglobals |-- icons | |-- labview-3d-big.xpm | |-- labview-3d.xpm | |-- labview-ctl.xpm | |-- labview-ctt.xpm | |-- labview-llb.xpm | |-- labview-vi.xpm | |-- labview-vit.xpm | |-- labview.xpm | `-- mini | `-- labview-3d.xpm |-- mime-info | |-- labview.keys | `-- labview.mime |-- mimelnk | `-- application | |-- x-labview-ctl.kdelnk | |-- x-labview-ctt.kdelnk | |-...

...ber of Firms x Relative Plant Fixed Cost", pty='s',lty = "solid", las = 1, adj=0.5) grid(nx = 10, ny = 10, col = "black", lty = "dotted",lwd = par("lwd"), equilogs = TRUE) A variable, ctt, of ones is in the dataset. Thanks in advance, Rick [[alternative HTML version deleted]]

A question on p-value of Unit Root Tests using “urca” toolbox There’s a function “punitroot” on unit root probability value punitroot(q, N = Inf, trend = c("c", "nc", "ct", "ctt"), statistic = c("t", "n"), na.rm = FALSE) To my knowledge, “c” means “const” or intercept, “nc” means no const or intercept, and “ct” means time trend with an intercept. What does “ctt” mean? Isn’t punitroot a function of lag period? Why isn’t lag an input of the fun...

...t; and then i perform an RSCU analysis on it... > uco(newdata5,index="rscu") aaa aac aag aat aca acc acg act aga agc agg agt ata atc atg att caa cac cag cat NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA cca ccc ccg cct cga cgc cgg cgt cta ctc ctg ctt gaa gac gag gat gca gcc gcg gct NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA gga ggc ggg ggt gta gtc gtg gtt taa tac tag tat tca tcc tcg tct tga tgc tgg tgt NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA tta ttc ttg ttt NA N...

...nrow=n.exams, ncol=n.items) str(Observed_Scores) for (k in 1:10) { #Setting the starting point for seed set.seed(k) #filling item parameters into beta.values beta.values = runif(n.items,-2,2) #Calculating Threshold thresh.values = .5 * beta.values #Using the function to generate the Parallel Model CTT data GenData <- congeneric.sim(N=500, loads = rep(.5,20), err=NULL, short = FALSE) #Storing Observed Score in a variable Observed_Scores = GenData[[3]] #Exporting Observed scores to output file ObservedScores_Data <- paste("Observed_Scores_",k,".dat") write.table(Observed...

...hen correlating items with the scale using cor() as an informal check for "bad" items. Over the weekend I decided to take a look at some of the packages in the psychometric task view, to see if there was a way to simplify this process. I looked at several packages, including psychometric, CTT, and psych. I'm interested in hearing from others who need to do this kind of thing frequently. What approach do you use? Do you use one of the packages mentioned above? Are there other packages I might want to take a look at? Second question: I spent some time with the psych package trying to...

...nrow=n.exams, ncol=n.items) str(Observed_Scores) for (k in 1:10) { #Setting the starting point for seed set.seed(k) #filling item parameters into beta.values beta.values = runif(n.items,-2,2) #Calculating Threshold thresh.values = .5 * beta.values #Using the function to generate the Parallel Model CTT data GenData <- congeneric.sim(N=500, loads = rep(.5,20), err=NULL, short = FALSE) #Storing Observed Score in a variable Observed_Scores = GenData[[3]] #Exporting Observed scores to output file ObservedScores_Data <- paste("Observed_Scores_",k,".dat") write.table(Observed...

Here are the specifications from Excel 2010. There are others for older versions of Excel so you may need to do a search specific to your application. http://office.microsoft.com/en-us/excel-help/excel-specifications-and-limits-HP010342495.aspx?CTT=5&origin=HP005199291 You should be OK looking at these specs. However, in my experience Excel is a resource hog and this doesn't rule out a bug in Excel or Windows 7. Make sure you have all the latest service packs and updates loaded on your machine for Excel *and* Windows 7. Windows 7...

...98.05.bind_problems.html Searchable BUGTRAQ archives are available (also?) at http://www.geek-girl.com/bugtraq/index.html Cheers, Sergio -------------------------------------------------------------------------- ballestr@fi.infn.it <- Physics Sergio Ballestrero sergio@ctt.it <- Business V. Marini 18 S.Ballestrero@iname.com <- Personal 59100 Prato ITALY

Hi all, I'd like to add the Bhattacharyya method to the dist function. What is the best way to do this? I'm using R 1.9.0 and I was looking for the code that defines the already existing distances, but I didn't manage. As far as I understand, dist is defined in mva that is part of the stats package now, but where is the code? Thank you very much, Giampiero

...17 NON_SYNONYMOUS_CODING 1450 1064 355 G/D gGt/gAt rs61744960 18 NON_SYNONYMOUS_CODING 1924 1127 376 G/D gGt/gAt rs61744960 19 NMD_TRANSCRIPT,NON_SYNONYMOUS_CODING 1450 1064 355 G/D gGt/gAt rs61744960 20 NON_SYNONYMOUS_CODING 1492 1088 363 P/L cCt/cTt rs17253672 V14 1 ENSP=ENSP00000409435;HGNC=SF3B1 2 ENSP=ENSP00000335321;HGNC=SF3B1 3 ENSP=ENSP00000335321;HGNC=SF3B1 4 ENSP=ENSP00000335321;HGNC=SF3B1 5 ENSP=ENSP00000324375;HGNC=DNMT3A 6 ENSP=ENSP00000370132;HGNC=DNMT3A 7 ENSP=ENSP00000384237;HGNC=DNMT3A 8 ENSP=ENSP00000370122;HGNC=DNMT3A 9 ENSP=...

...n additional vector of the same length that provides the indices to the DNA sequences. Finally, I have output from table() that gives the distribution of indices in the population. It looks something like this: seqindex 1,2,3,4,5 sequences "ATG","ATC","AAT","CTT","GTC" table() output of seqindex frequencies: 1 2 3 4 5 6 10 5 1 7 The sequences are usually around 100 characters long (rather than 3) and there can be several hundred different unique sequences and the freqencies of sequence indices may total many thousand...

On Fri, 26 Mar 1999, Thomas Biege wrote: > Date: Fri, 26 Mar 1999 09:34:10 +0100 (MET) > From: Thomas Biege <thomas@suse.de> > To: Jan-Philip Velders <jpv@jvelders.tn.tudelft.nl> > Cc: linux-security@redhat.com > Subject: Re: [Security - intern] [linux-security] *ALERT*: ADM Worm. Worm for Linux x86 found in wild. > The worm just exploits old security holes, so

Buenas, Me encuentro con el mismo problema, de que me dice que el argumento del if no es un "valor ausente donde TRUE/FALSE es necesario" Este es mi codigo de pruebas. readseq <- "aaaaaaaaaaa", "aaa", "aa") auxiliar <- count(readseq[j],i+2) aux_a <- auxiliar["listaa"] if(aux_a > 0){ matrizgraf3[i][k] = matrizgraf3[i][k] + 1 listaa

...variance (Thomas Lumley) 51. Re: question about read datafile (jim holtman) 52. Re: Summary information by groups programming assitance (Ranney, Steven) 53. Problem in passing on an argument via ... how do I access it? (Mark Heckmann) 54. Simulate dataset using Parallel Latent CTT model in R (Nidhivkk) 55. nlsrob fails with puzzling error message on input accepted by nls (Oren Cheyette) 56. Re: Summary information by groups programming assitance (hadley wickham) 57. Re: Summary information by groups programming assitance (Gabor Grothendieck) 58. Re:...

Hi All, I've been having a little trouble with creating a loop that will run a a series of t.tests for inspection, Below is the code i've tried, and some checks i've looked at. I've used the get(paste()) idea as i was told previously that the use of the eval should try and be avoided. I've run a single syntax to check that my systax is correct and works without any problems

Hello list. I'm trying to rebuild the 2.6.9.67.0.20.EL kernel, but it fails even without modifications. How did I try it? Created a (non-root) build environment (not a mock ) Installed the kernel.scr.rpm and did a rpmbuild -ba --target=`uname -m` kernel-2.6.spec 2> prep-err.log | tee prep-out.log The build failed at the end: Processing files: kernel-xenU-devel-2.6.9-67.0.20.EL Checking