similar to: Question re complex survey design and cure models

Hi, I am trying to fit a model with an ordered response variable (3 levels) and 13 predictor variables. The sample has complex survey design and I've used 'svydesign' command from the survey package to specify the sampling design. After reading the manual of 'svyglm' command, I've found that you can fit a logistic regression (binary response variable) by specifying the

Hi all, I am using quantile regression with svy design. I want to retrieve summary regression statistics (std error, p-value), since I don't have any in my output: Commands: clus1_d<- svydesign(id=~cd002_co, weights=~wtper, strata=~str, data=data) bclus1<-as.svrepdesign(clus1_d,type="bootstrap",replicates=100) fit1<-

I am new to R and am interested in using the program to fit quantile regression models to data collected from a multi-stage probability sample of the US population. The quantile regression package, rq, can accommodate person weights. However, it is not clear to me that boot.rq is appropriate for use with multi-stage samples (i.e., is capable of sampling primary sampling units instead of survey

Dear List, In documents (Therneau, 2003 : On mixed-effect cox models, ...), as far as I came to know, coxme penalize the partial likelihood (Ripatti, Palmgren, 2000) where as frailtyPenal (in frailtypack package) uses the penalized the full likelihood approach (Rondeau et al, 2003). How, then, coxme and coxph(...frailty(id, dist='gauss')) differs? Just the coding algorithm, or in

Rowland penny via samba ha scritto il 25/08/20 alle 12:21: > [...] > Try adding 'nltm auth = yes' to the smb.conf, it defaulted to 'no' at 4.5.0 thanks Rowland I have tried to change ntlm auth to yes but AD users continue to have problems connecting to the shares... Piviul

Dear all, I didn't get any suggestion for my querry concerning the NLTM package so I am re-posting it hoping that someone can give me any clue. I apologize for doing so. Please find attached a copy of my previous email: Dear R users, I have a question concerning the nltm package. Before posting to the R list I first contacted the author of the package twice but no succes. May be I've

Dear R users, I have a question concerning the nltm package. Before posting to the R list I first contacted the author of the package twice but no succes. May be I've got the wrong email! My question is about the object "surv" given in the package "nltm". As explained, the object "surv" represents the MLE estimates of the baseline survival function evaluated at

Rowland penny via samba ha scritto il 24/08/20 alle 17:39: > [...] > As far as I am aware, SMBv1 is still readily available on Win7, but from > Samba 4.11.0, it is now disabled on Samba, so if you must use SMBv1, you > will need to set: > > client min protocol = NT1 > > server min protocol = NT1 > > in smb.conf ok, the samba server I'm using as test has

Is there a way to create a BRR svrepdesign from a survey design when the number of PSUs is odd in one or more stratum? Creating a JKn svrepdesign with that condition works okay, but when I tried to create a svrepdesign with type="BRR" I get an error and this message: "Can't split with odd numbers of PSUs in a stratum" I get that message when I tell it to merge the

I'm using libFLACC++ and libFLAC and I think that I'm using the calls in the typical order (see code below). But every monoe or stereo file that I send thru I get files that are the same sze as the orginal wave files. Doing a flac -a on the flac files I see that I get: frame=9 blocksize=4608 sample_rate=8000 channels=1 channel_assignment=INDEPENDENT subframe=0

I'm working with a 350MB CSV file on a server that has 3GB of RAM, yet I'm hitting a memory error when I try to store the data frame into a survey design object, the R object that stores data for complex sample survey data. When I launch R, I execute the following line from Windows: "C:\Program Files\R\R-2.9.1\bin\Rgui.exe" --max-mem-size=2047M Anything higher, and I get an

Hello, How I use the function as.svrepdesign without memory.size problems? desenho_npc_JK <- as.svrepdesign(desenho_npc,type="JKn") Error: cannot allocate vector of size 161.3 Mb In addition: Warning messages: 1: Reached total allocation of 1022Mb: see help(memory.size) 2: Reached total allocation of 1022Mb: see help(memory.size) 3: Reached total allocation of 1022Mb:

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On 25/08/2020 08:28, Piviul via samba wrote: > Rowland penny via samba ha scritto il 24/08/20 alle 17:39: >> [...] >> As far as I am aware, SMBv1 is still readily available on Win7, but >> from Samba 4.11.0, it is now disabled on Samba, so if you must use >> SMBv1, you will need to set: >> >> client min protocol = NT1 >> >> server min protocol =

On 26/08/2020 08:07, Piviul via samba wrote: > I've send this message yesterday but I've not received it from > samba at lists.samba.org: I try to send it again... > > Piviul > > -------- Messaggio Inoltrato -------- > Oggetto: Re: [Samba] accessing foreign AD users to NT domain > Data: Tue, 25 Aug 2020 13:05:35 +0200 > Mittente: Piviul <piviul at

Hi Does anyone know whether the rms package provides a confidence interval for the bootstrap-corrected Dxy or c-index? I have fitted a logistic model, and would like to obtain the 95% confidence interval of the bootstrap-corrected area under the ROC curve estimate. Thanks. [[alternative HTML version deleted]]

Hello, I want to check my collection of hundreds of ogg files for potential problems. As far as I know, "ogginfo -v" is as comprehensive as it gets. However, using the "-v" option causes the output to be VERY VERY long when there are hundreds of files to check. I need a way to skim the output and only look at warnings and errors. In order to do that I need to know the complete

Afternoon R help, I want to run Rasch/IRT analyses using the ltm package, however, I am using large scale survey data which requires weighting for accurate results. I attempted to create a weighted object to insert into the formulae of the ltm packages, however, the survey data only includes 30 replicate weights and a sampling weight. The svrepdesign requires additional information such as

I have the final sample weight (expansion factor) from a socieconomic survey. I don't know the exact design used in the study ( (probably is a stratified two-stage design). To illustrate my problem I will use the next dataset which have a sample weight (but the design is not specified) and incorporate the design with svydesign and create some bootstrap replicates in order to be able to

Hi, We're using gmirror on our sun fire x2100 and FreeBSD 6.1-p10. Some days ago I found this in the logs: Apr 1 02:12:05 x2100 kernel: ad6: WARNING - WRITE_DMA48 UDMA ICRC error (retrying request) LBA=612960533 Apr 1 02:12:05 x2100 kernel: ad6: FAILURE - WRITE_DMA48 status=51<READY,DSC,ERROR> error=10<NID_NOT_FOUND> LBA=612960533 Apr 1 02:12:05 x2100 kernel: GEOM_MIRROR: