similar to: multiple imputation with mix package

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

In ancient times, circa 1980, S data directories were called swork and sdata not .Data, and "New-S" as described in the already medieval "Blue Book" discusses a function DBCONVERT that converted swork data into .Data data. It is embarrassing to admit it, but I still have data archives from a BTL machine called alice in the swork format and would like to convert a dataset to

'sodexquan' is an data frame of numeric variables with some missing values. I would like to approximate these missing values using some algorithm. I thereby chose the mix package. But when trying to run the 'prelim.mix' function (aka the function that will prepare the data for further calculations), R says: prelim.mix(truc,0) Error in as.integer.default(list(c(32, 52, 32, 27, 34,

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

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:

Greetings! I am bootstrapping and I am using EM in the norm package to fill in missing data for a financial time series with each step of the loop. For the most part EM works fine for me, but the following error message is guaranteed before I hit the 200th scenario: Iterations of EM: 1...2...3........348...349...Error: NA/NaN/Inf in foreign function call (arg 2) The following code should

Hi all, When using package MIX, I often get the error: NA/NaN/Inf in foreign function call (arg 1). For example, > s<-prelim.mix(Y,6) Error in prelim.mix(Y, 6) : NA/NaN/Inf in foreign function call (arg 1) or when I ran: MI<-vector("list",5) #<--vector of complete data after MI fit.model.mi<-vector("list",5) rngseed(1234567) #<-- set random number

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 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

Hi all, An early implementation of extending debug ranges and providing multiple location support is done here: http://reviews.llvm.org/D11933 Design document: https://docs.google.com/document/d/1noDVWTvTWBdYdweICPBwvwyt8QvX4KHl7j3XKNSg1nE/edit?usp=sharing On Jun 24, 2015, at 12:12 PM, Alexey Samsonov <vonosmas at gmail.com> wrote: Hi Adrian, You might want to take a look at abandoned

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

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.

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

Hi: I would like to write a function that takes as its input a formula and outputs normalized coefficients ( coef(x)*sdv(x)/sdv(y) ). now, a formula is an object, and I cannot see how to extract the variables for obtaining sdv's. the intent is to write something like my.print.lm( formula ) { model <- lm(formula); coefs <- (t(summary.lm(model)))[1,]; tvals <-

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

Hi, # For publications, I am not allowed to repeat the axes. I have tried to remove the axes using: # yaxt="n", but it did not work. I have not understood how to do this in ggplot2. Can you help me? # I also do not want loads of space between the graphs (see below script with Dummy Data). # If I could make it look like the examples on the (nice) examples page: #

Here is a proposal for improving DbgValueHistoryCalculator and the overall quality of debug locations. Focus: This is about lowering the DBG_VALUE machine instructions to DWARF location lists. Non-focus: This is not about (typical -O0) variables that permanently reside at a frame index and are described with dbg.declare intrinsics in the IR. These variables are stored in the MMI side-table and

Hi, I have a problem after upgrading dovecot 1.0rc1 to 1.0rc6. I don't use SSL at all so I have 'ssl_disable = yes' in my configuration. This works fine in 1.0rc1 but dovecot 1.0rc6 failed to start with the following error message "dovecot: Login process died too early - shutting down". Setting 'ssl_disable = no' resolves the problem but now dovecot announce TLS

Hi, I have tested dovecot 1.1.rc4. I seems to works fine with my configuration. I have also tested the downgrade from 1.1rc4 to 1.0.10. It seems to work fine too expect the following messages. Apr 15 14:46:44 dev dovecot: IMAP(lolo at gretel.com): Fixing header counts in index /data/mail/gretel.com/l/o/lolo//dovecot.index: Recent counter wrong Apr 15 14:46:49 dev dovecot: IMAP(lolo at