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I'm trying to kick off some of the rust and learn some of the R packages for Rasch modeling. When I tried using the eRm package, I get item difficulty estimates for all my items accept the first (in terms of order) item. #Begin code library(eRm) r.simulation <- sim.rasch(20,100) r.data <- r.simulation$items #eRm results erm.rasch <- RM(r.data) names(erm.rasch) erm.items <-

Dear R-List, I tried to fit a partial credit model using the "pcmdat" from eRm-package comparing the results of mirt, eRm, ltm and winsteps. The results where quite different, though. I cannot figure out what went wrong and I do not know which result I can rely on. This is what I did in R library(mirt) #load(file="u3.RData")

Hi, I am running the non-parametric rasch model tests using eRm. I have a reasonably large dataset for this type of exercise (110 items, 248 persons). I run: > allb2=as.matrix(allb) > rsample <- rsampler(allb2, ctr) > t102<-NPtest(rsample, method="T10") #global test, subgroup inv and receive error message as follows. "Error in m[idx1, idx2] <- 1 : subscript out

Dear R Users, I am using the LLTM and the LRSM functions in the eRm package to do repeated measurements where there are 2 measurement points for a list of 10 items. I am trying to get ability estimates but am having trouble. I don't think that it is appropriate to use the pmat function since the person parameters are based on all 20 items. Rather, I think it would be more appropriate to

When I try to create a Rasch simulation of data using the sim.rasch function, I get more items than I intend #My code library(eRm) #Number of items k <- 20 #Number of participants n <- 100 #Create Rasch Data #sim.rasch(persons, items, seed = NULL, cutpoint = "randomized") r.simulation <- sim.rasch(n,k) I end up with 20 participants and 100 items, but the instructions say

Hi, I am trying to do an LRSM Rasch analysis for 72-item data. 67 of the items are binary, and 5 are ternary. I have tried it with and without a specified matrix, and cannot get it to work. The primary problems I am having are: 1. Without a matrix, I get an error: Error in `rownames<-`(`*tmp*`, value = betanames) : length of 'dimnames' [1] not equal to array extent This is from

Dear useRs, new and updated features in eRm 0.9-6 for extended Rasch modeling: - infit and outfit mean-square statistics added to functions personfit() and itemfit(). - new method: plotPImap() plots a person-item map (cf. Bond & Fox, 2007), i.e., a map of locations of item (and threshold) parameters, and the distribution of person parameters. - new options in plotGOF(): 'conf':

Dear useRs, new and updated features in eRm 0.9-6 for extended Rasch modeling: - infit and outfit mean-square statistics added to functions personfit() and itemfit(). - new method: plotPImap() plots a person-item map (cf. Bond & Fox, 2007), i.e., a map of locations of item (and threshold) parameters, and the distribution of person parameters. - new options in plotGOF(): 'conf':

Hello all, I have just started using fitting the PCM (Partial Credit Model) using eRm and have 2 problems which I cannot solve, I have checked everywhere on the net, but no joy: Firstly, I have fit a PCM model to 10 variables with differing response categories (3 for the first 6 items, 4 for the following 2 and 2 for the last two items). mat1 <- matrix(c(rasch_bart$bart_bowel,

Hey people, I''m starting a new project and just finished creating the ERM diagram with about 30 tables. There are quite some tables with foreign keys so I''m not sure how to start creating the controllers/models. How should I start creating controllers/models? Should I first create all tables without foreign key? Should I just start somewhere and add them radomly? I''m

Hi, I'm running libvert on a Debian 7 system. I have upgraded libvert and qemu from source (v1.06 and 1.5.0 respectively) and the problem persists. The guest OS is also a Debian 7 system running a non-SMP kernel. The error message from virt-manager is Error starting domain: unsupported configuration: guest and host CPU are not compatible: Host CPU does not provide required features: rtm,

On 06/13/2013 10:11 PM, Michael Giardino wrote: > Hi, > > I'm running libvert on a Debian 7 system. I have upgraded libvert and qemu > from source (v1.06 and 1.5.0 respectively) and the problem persists. The > guest OS is also a Debian 7 system running a non-SMP kernel. The error > message from virt-manager is > > Error starting domain: unsupported configuration:

Kashyap: I have not tried integrating your guest xml but I will look over it today when I get a chance. Thank you. Martin: Below is the output from /proc/cpuinfo. Let me know if there is anything else that would be helpful in debugging this. Thank you, Michael Giardino processor : 0 vendor_id : GenuineIntel cpu family : 6 model : 60 model name : Intel(R) Core(TM) i7-4770 CPU @ 3.40GHz stepping

Hello together, this is ma first post, so please aplogize me if post this in the wrong section. I have problem concerning ma two matrizes. After a regressione and so on, I got two matrizes Matrixres contains the results of ma calculation. Matrixr contains my detiene, which where Aldo used for the regression. Please ser the following code: #Datei einlesen residual =

hello , thanks for comments . I tried now with force options for CPU flag which were not supported . Now the command with non fully supported CPU model gets executed , But i am surprised to see that still Guest cpu model is not changed and still same as host cpu model(SAndy Bridge) Why don't i see the model as HAswell now , could you please comment. Command used : virt-install

Hi all, I am trying to configure a kvm guest using pci passthrough to pass it a wireless pci adapter (host is my personal laptop). But when I try to start it: error: Failed to start domain obsdfw error: unsupported configuration: host doesn't support passthrough of host PCI devices PCI passthrough is enabled: [ 0.000000] Command line: BOOT_IMAGE=/vmlinuz-3.10.0-327.28.3.el7.x86_64

Dear list, I have two vectors: x <- c("one","two") y <- paste(rep(x,2),"blah") I want to replace all occurrences of each element of x in y with something else, so that y looks like this: y [1] "something else blah" "something else blah" "something else blah" [4] "something else blah" I can do this using a loop: for (

> > > module_path = LLVMCreateMemoryBufferWithMemoryRange(path, > strlen(path), "path", 1); > LLVMCreateMemoryBufferWithContentsOfFile takes a path. Erm...no...the code is calling LLVMCreateMemoryBufferWithMemoryRange, not LLVMCreateMemoryBufferWithContentsOfFile... Or do you mean I need to load the module into memory before calling

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Dear all, I'm working on ability estimates using Rasch model. Using the "ltm" package, the procedure is quite simple: ## Factor Scores for the Rasch model fit <- rasch(LSAT) factor.scores(fit) What about Partial Credit Model (PCM)? For PCM I use PCM function from eRm package. Is there any similar function like factor.scores to estimate ability scores using PCM model? Best,