similar to: Advice on approach to weighting survey

I'm trying to learn how to calibrate/postStratify/rake survey data in preparation for a large survey effort we're about to embark upon. As a working example, I have results from a small survey of ~650 respondents, ~90 response fields each. I'm trying to learn how to (properly?) apply the aforementioned functions. My data are from a bus on board survey. The expansion in the

Hi, My Samba AD-DC installation is using CPU all time on a process. I'm trying everything to fix it, but without success. It started when using it on Ubuntu 16.04, I upgraded o Ubuntu 18.04, and now Ubuntu 18.10, that is using Samba 4.8.4 and the problem persist. Using samba-tool process, I could see that the process using resources is CLDAP. I did samba-tool dbcheck --cross-ncs samba-tool

I have about 27,000 survey responses from across about 150 Bus Routes, each with potentially 100 stops. I've recorded the total Ons and Offs for each stop on each bus run, as well as the stop pair each survey response corresponds to. I wish to create weights based on the On and Off stop for each line and direction. This will create a very sparse "half table" (observations by

I need help on calling the svydesign function in the survey package (although this error appears not to be specific to svydesign). I am passing parameters incorrectly but am not sure how to correct the problem. ## Call the main function PS.sim (one of mine). The dots are parameters I omitted to simplify the question. ## y.col, str.col, clus.id, and PS.col are names of columns in the object pop.

Hi R-users!! I have some trouble with the survey pakage and i would be very glad if you can give me an advice. I have a sample from a survey where household were interviewed. The sample has 4 criteria on which the stratification was based: REGION, SIZE OF HOUSEHOLD, SIZE OF LOCALITY, AGE OF HEAD OF HOUSEHOLD. Since i don't have the whole information in each cell of the cross

I need some guidance from someone who is familiar/has some experience with the survey package. The data that I am using is from the Medical Expenditure Panel Survey (www.meps.ahrq.gov <http://www.meps.ahrq.gov/> ). The STRATA and PSU variables are varstr01 and varpsu01 respectively. When I try to specify them with the svydesign function I get an error message. An excerpt of my session

-------------------------------------------------- From: "Ahoussou Sylvie" <sylvie.ahoussou at antilles.inra.fr> Sent: Friday, September 12, 2008 9:48 AM To: "Thomas Lumley" <tlumley at u.washington.edu> Subject: Re: [R] Complex sampling survey _ Use of survey package > Thanks for your answer > > I think I made a mistake when I recopied the 5 first rows of

Dear WizaRds, Working through sampling theory, I tried to comprehend the concept of stratification and apply it with Survey to a small example. My question is more of theoretic nature, so I apologize if this does not fully fit this board's intention, but I have come to a complete stop in my efforts and need an expert to help me along. Please help: age<-matrix(c(rep(1,5), rep(2,3),

Hello everybody I don't understand how I'm supposed to use svydesign caracteristics to explain to R that my sampling design is the following one Data base = tab1 here are the five first rows of the database (nrow = 11792) num esp Quarters Totcat Totshp Totgt Tbtpos fpc1 Totanim Id_An 10 2045 G

This message is for those familiar with the survey package. I need to fit a weighted Cox model to accommodate the sampling weights as I have a case-control study with controls sampled at random from a database in a ratio 2:1 to cases (whom were all sampled). I want to make sure I am using the right svydesign syntax to specify this sampling design. Can anyone please check if the statement below is

Dear WizaRds, I am struggling to compute correctly a cluster sampling design. I want to do one stage clustering with different parametric changes: Let M be the total number of clusters in the population, and m the number sampled. Let N be the total of elements in the population and n the number sampled. y are the values sampled. This is my example data: clus1 <-

I have a dataframe from an On-Board Survey with weights ("expwgt") and variables for up to 8 used lines: VEH1 through VEH8. The lines are labeled "MT-..1" through "MT-902". I want to know how many transfers there are between MT-802 and MT-901. That is, when one of them is VEHx and the other is VEHx+1 or VEHx-1 E.g. {VEH1 = MT-802 AND VEH2 = MT-901 } plus {VEH2 =

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, probably not.. if your survey dataset has a complex design (like clusters/strata), you need to include them in the `svydesign` call. coercing an incorrect survey design into a replicate-weighted design will not fix the problem of failing to account for the sampling strategy On Mon, Apr 4, 2016 at 12:01 AM, Jos? Fernando Zea <jfzeac at gmail.com> wrote: > I have the final sample

Hi, I have been experimenting with the new Survey package. Specifically, I was trying to use some of the functions on the public-use survey data from NHIS (2000 Sample Adult file). Error 1): The first error I get is when I try to specify the complex survey design. nhis.design<-svydesign(ids=~psu, probs=~probs, strata=~strata, data=nhis.df, check.strata=TRUE) Error in svydesign(ids =

Hi, I'm trying to get standard errors for some of the variables in my data frame. One of the questions on my survey is whether faculty coordinate across curriculum to include Arts Education as subject matter. All the responses are coded in zeros and ones obviously. For some of the other variables I have a 2 for those that responded with "Don't Know". I'm getting NA for

Dear Forum I a running svychisq from the survey package and get errors with the number of dimensions, errors that I do not understand and do not know how to fix. I ask you kindly to help me out. The eror message follows with some information below. I hope there are enough information to help me to fix the problem if not please let me know what is needed Best Stefan Hrafn Jonsson > QHISQ2

I was wondering if anyone has developed (or is developing) an implementation for gravity models (spatial interaction) in R. I conducted several searches on the CRAN website with no luck. Currently I am estimating parameters via linearization. Thank you in advance Melanie Murphy [[alternative HTML version deleted]]

Hi there I'm trying to fit a logistic regression model to data that looks very similar to the data in the sample below. I don't understand why I'm getting this error; none of the data are proportional and the weights are numeric values. Should I be concerned about the warning about non-integer successes in my binomial glm? If I should be, how do I go about addressing it? I'm

Hello, all. I wanted to use the "survey" package to analyze data from the National Ambulatory Medical Care Survey, and am having some difficulty translating the analysis keywords from one package (Stata) to the other (R). The data were collected using a multistage probability sampling, and there are variables included to identify the sampling units and weights. Documentation from the