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Hi, I have the following code from Splus that I'd like to migrate to R. So far, the only problem is the arima.filt function. This function allows me to filter an existing time-series through a previously estimated arima model, and obtain the residuals for further use. Here's the Splus code: # x is the estimation time series, new.infl is a timeseries that contains new information # a.mle

Is there a method with the current tcltk library in R to call back an R function within the .Tcl("...") interpreter? I can't find anything documented, and I don't understand the usefulness of the .Tcl.callback() function. Browsing through the tcltk source code I found two functions R_eval and R_call that seem to take input from the .Tcl interpreter and parse them through the R

Thanks to Martyn Plummer and Vele Samak for taking the time to answer my problem. scan certainly will do the trick. However, having taken a look at the code for read.table, it seems to me that I might be able to add in a "what" argument and then just pass it down to the call to scan. But that won't be today's project . . . Dave Kane

Ok, Here's the c code that's loaded into R as dll on windows: #include <R.h> #include <Rdefines.h> SEXP test1(SEXP col); SEXP test1(SEXP col) { SEXP col2; Rprintf("no value!\n"); return col2; } Compiles ok with bcc32 into a dll, loads into R as part of a library, I Run library(rkdb), then > .Call("test1", 2) no value! And puf! Rterm crashes.

Hi my friends, I have an issue with ability estimates when running GRM of IRT. I have responses from 242 subjects but got 183 ability estimates. Below is what I did to get the estimates. 1) I have a csv file "P1.csv" and I imported it into R and loaded the "ltm" package by doing: p1<-read.table("P1.csv",header=TRUE,sep=",") library(ltm) 2) I

I have just spent a day trying to determine why I seemed to be unable to read a file of microarray expression results into R properly. The file was produced by the Dchip software developed by Li and Wong at Harvard's Department of Biostatistics. It contains rows of tab-delimited fields in the order Probe set identifier Probe set description Array 1 expression Array 1 call Array 2 expression

Using the grm function (graded response IRT model) in the ltm package I receive the following error: Error: subscript out of bounds for several scales I'd like to examine. Here's a small example that if run a few times will likley produce the error at least once ch<-array(round(runif(50,1,5)),c(10,5)) grm(ch,start.val="random") ## or

Where can I find a package with an R implementation of the S-Plus "nlmib" general minimzation routine described in Venables & Ripley's "Modern Applie Statistics with S-Plus", 3rd Ed., pp 267 - 270? Thanks, David Stamps stamps.d.a at att.net -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

I have problems running Monkey Island 3 here. Installing it works fine, but the problems comes when trying to run it. When pressing "Play Game" (I think that's what the button says), the program just wants to install DirectX 5.0. I guess that trying to install it is NOT an option, when you're using wine. Second, installing Monkey Island 4 is not successful, because you have this

The function factor.scores is used with package ltm and others to estimate IRT type scores for various models. It inherits objects of class grm, gpcm and a few others. What I would like to do is to use the factor.scores function, but feed it my own item parameters (from a bifactor model where the 2PL parameters are adjusted for the bifactor structure). Does anybody have an idea of how this might

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")

Dear R-users, I'd like to announce the release of the new version of package `ltm' (i.e., ltm_0.8-0 soon available from CRAN) for Item Response Theory analyses. This package provides a flexible framework for analyzing dichotomous and polytomous data under IRT, including the Rasch model, the Two-Parameter Logistic model, Birnbaum's Three-Parameter model, the Latent Trait model

Dear R-users, I'd like to announce the release of the new version of package `ltm' (i.e., ltm_0.8-0 soon available from CRAN) for Item Response Theory analyses. This package provides a flexible framework for analyzing dichotomous and polytomous data under IRT, including the Rasch model, the Two-Parameter Logistic model, Birnbaum's Three-Parameter model, the Latent Trait model

Dear R-users, I'd like to announce the new version of package 'ltm' for Item Response Theory analysis. The function grm() (along with supporting methods, i.e., anova, margins, factor.scores, etc.) has been added for fitting the Graded Response Model for ordinal polytomous manifest variables. An extra feature of the plot method for classes 'grm', 'ltm' and

Dear R-users, I'd like to announce the new version of package 'ltm' for Item Response Theory analysis. The function grm() (along with supporting methods, i.e., anova, margins, factor.scores, etc.) has been added for fitting the Graded Response Model for ordinal polytomous manifest variables. An extra feature of the plot method for classes 'grm', 'ltm' and

Hi, I have been brought back to the "R-Side" from MatLab. I have used R in graduate econometrics but only for statistics and regression (linear and nonlinear). But now I need to run general nonlinear optimization. I know about the add-in quadprog but my problem is not QP. My problem is a general nonlinear (obj funct) with linear constraints.I know about the "ms" and

r-help, Is there a package available for R which allows you to export data directly to .xls, much like exportData(foo,"foo.xls","EXCEL") in S-PLUS ? If not, is anyone working on this, or thinking about working on this? I apologise in advance if this question has already been answered. Many thanks, Matthew

Hi, I have recently started using R again (switched from MatLab) and have a question regarding programming. How can I set up a file that will run several lines of R code? For example, in Fortran and DOS this used to be done via a batch file, and in MatLab I would write the code and save it in a script file, e.g., Test.m. An example of what I am trying to do is the following:

Hi, Quick question on reading data. I am running simulations but want to allow the user the option to define the number of simulations. How can I have R read-in user data entered from the keyboard? Is there a difference for reading in numeric and character data? For example, I am trying to write the following in R: Enter Number of Iterations? <<<the user then enters a number say Y