similar to: laten class analysis

Hi, I perform latent class analysis on a matrix of dichotomous variables to create an indicator of class/category membership for each observation. I would like to know whether there is a function that selects the best fit in terms of number of classes/categories. Currently, I am doing this with the lca() function of the e1071 package. This function requires me to specify the number of classes

Dear List, my problem should be easy to fix, but I couldn't find a solution by myself... In my survey, there is a question with 14 possible answers. None of the respondents choose the 13th answer, so when I table() the results, R says: 1 2 3 4 5 6 7 8 9 10 11 12 14 31 52 7 21 40 7 8 2 28 2 2 1 17 13 is missing... anyone knows how to tell table() that there are 14 modalities in the

Dear list, can someone tell me why this two pieces of code give me the same results? > for(i in 0:5){ sum[i] = i } > sum [1] 1 2 3 4 5 > for(i in 1:5){ sum[i] = i } > sum [1] 1 2 3 4 5 shouldn't the first one be 0 1 2 3 4 5 thank you, simone

Hai, Can anyone help me with some literature (R related) about latent models? Thanx, Wilfred

hello R-Users, I have this simple but not for me question: I do: > res<-dbSendQuery(con, "SELECT * FROM tabellaProva") > myDataFrame<-fetch(res) > myDataMatrix<-as.matrix(myDataFrame[,-1]) > namerows(myDataMatrix)<-as.character(myDataFrame[,1]) and I have: io tu io "0" "1" tu "1" "0" my problem is that the

Hello there, In the e1071 package,'lca' function only works for binary data for Latent class analysis. Am I right? I would like to test the agreement amongst 6 raters for nominal data ona scale from 1-4, and conduct a latent class analysis. What package and what function may I use? Thank you very much Lisa Wang Princess Margaret Hospital tel: 416 946 4501

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 all! I want to estimate parameters in a MIMIC model. I have one latent variable (ksi), four reflexive indicators (y1, y2, y3 and y4) and four formative indicators (x1, x2, x3, x4). Is there a way to do it in R? I know there is the SEM library, but it seems not to be possible to specify formative indicators, that is, observed exogenous variables which causes the latent variable. Thanks,

_____ 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

Dear List, I have a data structure like: > aa [[1]] [1] 1 2 3 [[2]] [1] 4 5 6 > bb [[1]] [1] 3 [[2]] [1] 5 I would like to set differences between "aa" and "bb" and get as result another list of lists like: > res [[1]] [1] 1 2 [[2]] [1] 4 6 I am trying: lapply(aa, setdiff, bb) but I simply get "aa" back as result. Could you please point me in the

Dear List, I am using the wireframe function in the lattice package, and I am wondering if it is possible to invert the default axes orientation for x and y axes... what parameter should I look for? Best regards, Simone Gabbriellini

Which package(s) contain something on latent class analysis? Tom -- +----------------------------------------------------------------+ | Tom Backer Johnsen, Psychometrics Unit, Faculty of Psychology | | University of Bergen, Christies gt. 12, N-5015 Bergen, NORWAY | | Tel : +47-5558-9185 Fax : +47-5558-9879 | | Email : backer at psych.uib.no URL :

Hi All, I have a n x m matrix. The n rows are individuals, the m columns are variables. The matrix is in itself a collection of 1s (if a variable is observed for an individual), and 0s (is there is no observation). Something like: [,1] [,2] [,3] [,4] [,5] [,6] [1,] 1 0 1 1 0 0 [2,] 1 0 1 1 0 0 [3,] 1 0 1 1 0 0 [4,] 0 1 0

Dear R users, Is there any package for Latent Class Analysis (to be used in a clustering application) which supports mixed indicator variables (categorical and continuous)? Alternatively, is there any other clustering algorithm available that supports this type of data? Thanks in advance for your help. Regards, Lars. [[alternative HTML version deleted]]

Dear List, how can I coerce a matrix like this [,1] [,2] [,3] [,4] [,5] [,6] [1,] "0" "1" "1" "0" "0" "0" [2,] "1" "0" "1" "0" "0" "0" [3,] "1" "1" "0" "0" "0" "0" [4,] "0" "0"

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

Hello List, I have some plots with the wireframe() function, and I'd like to display them in a single jpeg file. I know that par(mfrow=c(x,y)) will divide my display window in x rows and y columns, and although this works with plot(), it looks like it's not working with wireframe. here's my code: library(lattice) library(Cairo) CairoJPEG("wiley-rank.jpeg", width=960,

Dear List, I'm looking for some documentation about the R tcltk package The one I found in the help doesn't look exaustive, I need information on the use of the single tk widget, maybe with some examples thank you, simone gabbriellini

Hello List, I have a data frame like: V130 V131 V132 V133 V134 V135 V136 1 0 0 0.9 0 0.9 0 0 2 0 0 0 0 0 0.8 3 0 0 0 0 0.9 0 0 4 0.9 0 0 0 0 0 0.9 5 0 0 0 6 0 0 0 0.9 0 0 0.9 7 0 0 0.8 0 0 0 0 8 0.9 0 0 0.9 0.8 0 9 0 0 0 0.9 0.9 0 0 10 0 0 0 0 0 0 0.9

Hi all, I have finally get working the quota with dovecot. Now i am setting up the quota warning, with this in dovecot.conf: quota_warning = storage=70%% /usr/bin/quota_warning.sh 70 In the plugin section naturally. All seems to work fine, the quota is calculated right, but seems the script is not executed... In dovecot logs i have this: deliver(test at test.com): Oct 27 15:14:53 Info: Quota