similar to: Warning when using 'prelim.mix' from the package 'mix'

dear list members, there seems to be a problem with the prelim.norm function (package norm) as number of items in the dataset increases. the output of prelim.norm() is a list with different summary statistics, one of them is the missingness indicator matrix "r". it lists all patterns of missing data and a count of how often each pattern occured in the dataset. as the number of items and

R-experts: I am trying to reproduce some of Paul Allison's results in his little green book on missing data (Sage 2002). The dataset for which I am having problems, "usnews", can be found at: http://www.ats.ucla.edu/stat/books/md/default.htm. I am working on a Windows machine with R 2.5 installed, all packages up-to-date. The problem has to do with the prelim.norm() function of the

Hi everyone, I'm trying to use prelim.norm with a "big" matrix (36 columns by 10000 or so rows). I found that prelim.norm has a built-in limit of 30 columns, but I'd still really like to use it for my data. Does anyone know of a different way to do the same thing? Or, would it be easier to try to modify the source code? Thanks! Josh

Hey eveyone! I hope someone can help wiht this question. I have a matirux of all zeros and ones and I would like to indentify all unique patterns in the rows andthe number of times the pattern occurs. I changed all zeros to NA tried to use prelim.norm to identify all patterns of missing data in the rows. I got the message Warning message: NAs introduced by coercion Any ideas of how

hello, We've got a problem with the mix package in order to impute the missing data. After importing the data, the prelim function does not work (only the stlouis data works). We have done : >library(mix) >Manq <- read.table("C:/.../file.txt") >attach(Manq) >save(Manq,file="C:/../R/rw2001/library/mix/data/Manq.rda") >data(Manq) >Manq V1 V2 V3 V4 1

Hello, I'm trying to use the package ttda, wich is involved in text analysis, for my own data about answers in a company survey. I've installed it, as well as ispell, but when trying to use an example: > zz <- file("stupid.txt", "w") # build a data file > cat("{comment - stupid data file} \n" , file = zz) > cat("<uci=1>

Have you used Tinn-R and what landmines await the inexperienced? I could not understand why a script that used to work stopped working. Look at these two scenarios I opened an excel spreadsheet and copied several cells to the clipboard Then Scenario 1 Executed from Tinn-R > prelim<-read.delim("clipboard") > str(prelim) 'data.frame': 0 obs. of 1 variable: $

Hello all. I am inexperienced with R and am clumsily trying to work through it for specific multiple imputations Id like to run for my thesis.In running the MIX package, I keep getting an error message regarding the use of the prelim.mix command. Error in as.integer.default(list(alcohol = c(1, 1, 1, 1, 1, 1, 1, 1, 1, : (list) object cannot be coerced to integer I cannot find the

Dear all, I know that when using R, people should have a sufficient level in statistics. As well, I'm not a genius, when dealing with logistic regressions. I would like to construct ICs, IPs, for a logistic regression, but the point is I have just 41 observations. I had a look at the Design package and noticeably the lrm function, but I'm still not able to reduce the IC's, as I

Dear Professor Schaefer I am experiencing a technical difficulty with your mix package. I would appreciate it if you could help me with this problem. When I run the following code, R 2.5.1 and R 2.6.0 crashes. It's been tested on at least 2 windows machine and it is consistent. Execution code it's self was coped from the help file of imp.mix. Only thing I supplied was a fake dataset.

I have seen, several times, dots (like this: "y ~." ) in formula descriptions, noticeably in R help. I am unable to see what it does correspond to. Any ideas ? -- --~~ Toulouse, Grenoble, Auch, Arcachon, B??ziers, Paris, Saragosse, L??vignac Sur Save, habitats naturel du Valdo. ~~-- < http://www.le-valdo.com>

Greetings, I'm getting this error message using Joe Shafer's "NORM" package. Error in storage.mode(x) <- "double" : (list) object cannot be coerced to type 'double' I'm not sure what this means. I get this message when running s <- prelim.norm(filename) prelim.norm is used to develop some summary statistics, etc. before implementing the EM

Hello, We use the mix package and we have a problem with the DA function. We aren't sure, but it's maybbe a memory problem. We have done: > Ent<--read.table("C:/.../File.txt") > attach(Ent) > Ent V1 V2 V3 V4 ... V16 V17 1 1 1 2 6 18 18 2 1 1 1 NA 14 17 3 1 1 2 1 16 14 .... 199 2 1 NA 7 19 18 200

Thanks to Fernando Tusell and especially to Brian Ripley for their work on 'mix', leading to an apparently good package mow available on CRAN. Going through the R code for the function prelim.mix, I am wondering why the following method of calculation is used at one point: umd <- as.integer(round(exp(cumsum(log(d))))) (d is a vector containing, in effect, the numbers of levels of

Dear alltogether, I experience very strange behavior of imputation of NA's with the NORM library. I use R 2.2.0, win32. The code is below and the same dataset was also tried with MICE and aregImpute() from HMISC _without_ any problem. The problem is as follows: (1) using the whole dataset results in very strange imputations - values far beyond the maximum of the respective column, >

On Monday 24 February 2003 17:32, Deva Seetharam wrote: > Hello > > using icecast1, it was possible to serve static music files. from my > prelim understanding, it seems like icecast2 can serve only streams. is > this correct? > No. icecast2 fully supports serving of static files. Mike --- >8 ---- List archives: http://www.xiph.org/archives/ icecast project homepage:

I am desperately trying to impute missing data using 'imp.mix' but always run into this yucky error message to which I cannot find the solution. It's the first time I am using mix and I'm trying really hard to understand, but there's just this one step I don't get...perhaps someone knows the answer? Thanks! Jens My code runs:

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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

I' m trying to compute weighted mean on different groups but it only returns NA. If I use the following data.frame truc: x y w 1 1 1 1 2 2 1 3 1 1 4 2 0 2 1 0 3 2 0 4 1 0 5 1 where x is a factor, and then use the command : tapply(truc$y,list(truc$x),wtd.mean, weights=truc$w) I just get NA. What's the problem ? What can I do ?