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Hi everyone, I'm using the poLCA module for some analysis work. Basically, Im using the command >poLCA(f, data=response,nclass=2) This returns a poLCA object (a list) >From this data, I need to retrieve certain indexes, such as[[5]] as seen below. [[5]] Pr(1) Pr(2) Pr(3) class 1: 0 1.0 0.0 class 2: 0 0.5

Dear all, I'm an Sri Lankan undergraduate student. I'm also a total newbie to R. My aim is to use the poLCA package to do a latent class analysis. I found the documentation very helpful, but need to make a small clarification that has stumped me awhile. In my work, I need to make provision for conditional dependence. I'm told that poLCA lets you do that. Unfortunately, I

What's the best approach to running latent class analysis with R? I've downloaded both randomLCA and poLCA packages, but I am interesting in running a standard LCA with individual records (not frequency table) as input data. Wen Gu John Jay College of Criminal Justice445 West 59 StreetNew York, NY 10029 wgu@gc.cuny.edu _________________________________________________________________

Hello, Can anyone help me out with this problem? After performing logistic regressions and testing the significance with likelihood ratios, I have plotted the results using "termplot". I am wondering, how to get the names of my variables to appear on the x-axis rather than ascending numbers? I have used: termplot(fm, se=T, axes=FALSE, col.se="black") axis(1, 1:4,

Hi everyone? Does anybody know how can I estimate a Latent class multinomial (or conditional) logit using R? I have tried flexmix, poLCA, and they do not seem to support this model. thanks in advance adan -- View this message in context: http://r.789695.n4.nabble.com/Latent-class-multinomial-or-conditional-logit-using-R-tp4230083p4230083.html Sent from the R help mailing list archive at

Dear R users, I would like to perform Latent Class Logit Models for the analysis of choice experiments in environmental valuation. This kind of analysis is usually performed with NLogit Software (http://www.limdep.com). I attach the results I usually obtain using NLogit and NLogit model specifications. For Random parameter models and Logit Models I usually perform my analysis with the package

Hi, I am working with -poLCA- which uses the package -scatterplot3d- in order to work. However, I work on a restricted server that is not online. The R-version installed there is 2.6. However, running library(poLCA) after installing the most recent -scatterplot3d- on the server leaves me with R telling me that scatterplot3d needs R-version 2.7 or a more recent versions. Since I cannot install the

Hi there, I have the following problem: I have a package called "polLCA" which has the following syntax: poLCA(formula, data) and needs the following formula definition: formula <- cbind(V1,V2,V3,...) So far so good. What I tried now was the following: #Get "data" with the "read.table" fuction data <- read.table("d:/ .....) #Select cols to use in the

Dear Rxperts! I was wondering if it is possible to write a function which can take in argument of a subset or condition.. Of course, I am aware of the alternate methods like coplot, par.plot, xyplot etc... I am specifically interested in using conditions/subsets with "plot".. A simple fragmented example is shown here.. pltit <- function(y,x,dat,dat1,dat2,sbst) { plot(y~x, data=dat,

My problem is I have data with both categorial and numerical data, currently only the categorical number contains missing data, was wondering do I make a new dataframe containing only the categorical columns? How would you use Latent Class Model specifically poLCA to impute the missing data? http://www.sscnet.ucla.edu/polisci/faculty/lewis/pdf/poLCA-JSS-final.pdf The reason why I chose not to

Hi, I am running some latent class models with civariates using poLCA in R, and have a question the meaning of some error messages. My model has 8 y-variables (dichotomous) and 2 x-variables (also dichotomous), and I am trialling different numbers of classes. When I run a 2-class model, the model runs fine without any error messages. I used the nrep = 10 option to avoid local maxima. Class %

_____ De : Pousset [mailto:maud.pousset@noos.fr] Envoyé : mardi 4 juillet 2006 18:38 À : 'r-help@stat.math.ethz.ch' Objet : Latent Class Analysis Hello everybody, I am working on latent class analysis and have already used the ‘R’ function « lca » (in the e1071 package). I ‘ve got interesting results but I can’t simply find out the methodology used by this routine : 1) What

Using SUSE Linux, Windows 32 bit and Windows 64 bit R 3.0.2 , I am unable to use R CMD check successfully. Here is the Windows 64 bit report: Z:\R\source\effects>R CMD check pkg * using log directory 'Z:/R/source/effects/pkg.Rcheck' * using R version 3.0.2 (2013-09-25) * using platform: x86_64-w64-mingw32 (64-bit) * using session charset: ISO8859-1 * checking for file

Hi everyone, I'm an R newbie working with the poLCA module. I achieved my target without having to bother anyone, but It seems that I've got stuck at the last minute. My problem is simple. I need to write my results into a file. My results are in the shape of a list (unbalanced columns) I've considered several methods (sink(), write.file) etc. etc. Unfortunately, I'm not the best

Hello, First time posting to this mail list. I'd like to use R in the most efficient way. I'm accomplishing what I want, but feel there is a more R'ish way to do it. Just learning R. *My goal: get ranks of value across rows with row names and column names intact.* I'm guessing one of the [?]apply functions will do what I need, but I couldn't sort out which one (after a lot

Can anybody, please, explain me how many parameter are estimated using randomLCA? For examples, model "dentistry.lca2random" estimate 1 scale (or variance, b_j) parameter and 2 position parameters (a_cj)? Doesn't it? Do I need at least 4 diagnostic tests for such a model? What happens if I specify options blocksize and byclass? How many diagnostic tests (or rater) I need?

On Friday, 26 June 2020 10.47.13 WEST I?aki Ucar wrote: > I used bcond locally and wrongly assumed that fedpkg build would > support --with BCOND and --without BCOND. Instead, the way to activate > it is to change to "%bcond_with check" and then revert to > "%bcond_without check". The only difference with bootstrap is that > "bootstrap" is recognized

Dear R-users, I keep getting an ERROR saying " Error in model.matrix.default(formula, mframe) : model frame and formula mismatch in model.matrix() " when i fit poLCA with more than 63 variables. Below are the details. I am trying to do a Latent Class Analysis using poLCA. My data set contains binary scores of, for instance, 200 students on 100 items. These numbers could even be more

Dear all, I have just sent a message asking about poLCA but I thought of another question I wanted to ask. I get the G^2 statistic in my output and want to test for its significance. I get that the degrees of freedom for the test are (S-1-p) where S is the number of different patterns observed and p is the number of estimated parameters. Are these the "residual degrees of freedom" that

Dear all Last week, I posted a question and some of you spent their valuable time to respond. Thank you (once again). This time, after doing a lot of homework, I return with  a second question on the issue. I was advised to use poLCA for a Latent Class Analysis with covariates. The software works well, although I feel a bit uncomfortable with the fact that you need to run many times the