similar to: clusterMI: Cluster Analysis with Missing Values by Multiple Imputation

I have a series of question about methods and generics. The questions are interspersed in some text which explains what I want to do, how it works now and why I do not understand well why it works. Questions are written Q1 and so on up to Q9 and always start a new line. The concrete problem is this: it has become customary after a meta-analysis to quote various statistics to give a picture of the

Hola: El 20/11/13 12:57, Isidro Hidalgo escribió: > A mí sí me funciona: > - vas primero a la página http://baye.weebly.com/toolkit_extra.html (¿Has > podido llegar aquí o el navegador te rechaza el enlace?) Hasta ahí llego sin problemas. > - buscas "MATLAB® to R Codes Translator" y con "Guardar como..." te bajas un > ZIP donde está todo Nada, agua. A mi me

No puedo adjuntarlo a la lista. Os lo pongo esta tarde en DropBox y os envío el enlace... Un saludo. Isidro Hidalgo Arellano Observatorio Regional de Empleo Consejería de Empleo y Economía ihidalgo en jccm.es http://www.jccm.es > -----Mensaje original----- > De: r-help-es-bounces en r-project.org [mailto:r-help-es-bounces en r- > project.org] En nombre de Rubén Gómez Antolí >

Dear Michael Camann, My concern was after having a hetero-computing environment for many years, I found that I had to keep an old version of Microsoft Windows based applications to be able to interact with my constituents. This at times can become very expensive. I have had to limit my budget on the UNIX/Linux platform to compensate for Microsoft Windows based applications. With Open Office

Dear Michael Camann, My concern was after having a hetero-computing environment for many years, I found that I had to keep an old version of Microsoft Windows based applications to be able to interact with my constituents. This at times can become very expensive. I have had to limit my budget on the UNIX/Linux platform to compensate for Microsoft Windows based applications. With Open Office

Lo encontré. Los enlaces no funcionan directamente: - http://www.weebly.com/uploads/1/9/1/0/19108563/Matlab2Rv1.zip - http://www.weebly.com/uploads/1/9/1/0/19108563/MATLAB%20to%20R%20Translator. pdf Tienes que entrar en http://baye.weebly.com/toolkit_extra.html y buscar el apartado correspondiente, guardando los archivos con la opción "Guardar como..." del botón derecho. Suerte y un

Probé pero tuve el mismo problema de 404... en todos los links... Gracias ahora ya lo tengo. Saludos, Carlos Ortega El 20 de noviembre de 2013 14:03, Isidro Hidalgo <ihidalgo@jccm.es>escribió: > ¿Vosotros habéis podido bajarlo? A los correos particulares sí los puedo > enviar... Ahí va... > Un saludo > > Isidro Hidalgo Arellano > Observatorio Regional de Empleo >

Dear users; I am doing GLMs with the Gamma distribution, and I always get errors ("no valid set of coefficients: please supply starting values") or warnings ("NaNs produced in log(x)") when I use the links identity or inverse, but I don´t get them if I use the log link. For example: >

No need to reply to this message! http://www.openoffice.org/ Open Office 1.0.1 (OO) I got a change to have my network setup as; UNIX/Linux and Microsoft Windows, a hetero-computing network platform. I found that Open Office 1.0.1 (OO), a UNIX/Linux/Microsoft Windows based application package, works well under MS Windows ME. OO offers a word processor, spreadsheet, presentation and a HTML

Más alternativas: http://stackoverflow.com/questions/5527145/convert-matlab-code-to-r https://stat.ethz.ch/pipermail/r-help/2007-March/127981.html Saludos, Carlos Ortega www.qualityexcellence.es El 20 de noviembre de 2013 09:15, Isidro Hidalgo <ihidalgo@jccm.es>escribió: > Lo encontré. Los enlaces no funcionan directamente: > -

Dear all, I am trying to impute data for a range of variables in my data set, of which unfortunately most variables have missing values, and some have quite a few. So I set up the predictor matrix to exclude certain variables (setting the relevant elements to zero) and then I run the imputation. This works fine if I use predictive mean matching for the continous variables in the data set. When I

Hello, this is not really an R-related question, but since the posting guide does not forbid asking non-R questions (even encourages it to some degree), I though I'd give it a try. I am currently doing some secondary analyses of the PISA (http://pisa.oecd.org) student data. I would like to treat missing values properly, that is using multiple imputation (with the mix package). But I am not

Hi all, I have a question about multiple imputation within the MICE package. I want to use passive imputation for my variable called X, because it is calculated out of multiple variables, namely Y, Z. Let's give an example with BMI. I know, that if I want to use passive imputation for BMI, I can use the following command: meth["BMI"] <- "~I(weight/(height/100)^2)"

Dear list, this is perhaps more of a statistics question than an R question, but perhaps someone could help me out anyway. I'm doing sociological research and am currently in the process of familiarizing myself with the basic concepts of multiple imputation. Eventually, my goal is to perform quantile regression on a large data set, where one non-negative discrete variable contains missing

Colleagues, I have started working with Amelia, with the aim of imputing missing data for time-series data. Although I have succeeded in getting Amelia to perform the imputation, I have not found any documentation describing how Amelia imputes time-series data. I have read the basic Amelia documentation, but it does not address how time-series data are imputed. The documentation describes

A mí sí me funciona: - vas primero a la página http://baye.weebly.com/toolkit_extra.html (¿Has podido llegar aquí o el navegador te rechaza el enlace?) - buscas "MATLAB® to R Codes Translator" y con "Guardar como..." te bajas un ZIP donde está todo - si sólo quieres echar un vistazo al manual, buscas "Users Guide to MATLAB to R Translator.pdf" y con "Guardar

Hello! I have some problem with package rminer function imputation. For example, i have data frame > data.frame(X1,X2,X3) X1 X2 X3 1 2002 82 88.53316 2 2001 39 68.41058 3 NA NA NA but when i use imputation, R gives an error > print(imputation("hotdeck",d, "X3")) Error in DTS[, YDTS] = 0 : incorrect number of subscripts on matrix Coud you

Hi, I am working with a multiple-item questionnaire. I have previously done item-level multiple imputation using MICE in R and right now I am attempting duplicate-scale imputation based on the guidelines listed in Enders's applied missing data analysis book. I use MICE to do MI as it allows me to specify school effect as I am working with multilevel data; my respondents come from different

I am running into a problem using 'mix' for multiple imputation (over continuous and categorical variables). For the way I will be using this I would like to create an imputation model on some training data set and then use this model to impute missing values for a different set of individuals (i.e. I need to have a model in place before I receive their information). I expected that all

Hi, I wrote a script in order to simulate data, which I will use for evaluating missing data and imputation. However, I'm having trouble with the last part of my script, in which a dataframe is constructed without missing values. This is my script: y1 <- rnorm(10,0,3) y2 <- rnorm(10,3,3) y3 <- rnorm(10,3,3) y4 <- rnorm(10,6,3) y <- c(y1,y2,y3,y4) a1 <-rep(1,20) a2