similar to: svydesign syntax

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.

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

Using the input below, can I do something more elegant (and more efficient) than the loop also listed below to pad strings to a width of 5? The true matrix is about 300K rows and 31 columns. ####################### #INPUT ####################### > temp DX1 DX2 DX3 1 13761 8125 49178 2 63371 v75 22237 3 51745 77703 93500 4 64081 32826 v72 5 78477 43828 87645 >

Dear all, We are analysing some survey data and we are not sure if we are using the correct syntax for our design. The population of interest is a set of 4416 polygons with different sizes ranging from 0.003 to 45.6 ha, 7460 ha in total. Each polygon has a binary attribute (presence/absence) and we want to estimate the probability of presence in the population. We used sampling with replacement

Am Sa., 8. Juni 2019 um 13:12 Uhr schrieb Tim Northover via llvm-dev <llvm-dev at lists.llvm.org>: > I'd prefer us to have something neater than static_cast<int> for the > loop problem before we made that change. Perhaps add an ssize (or > equivalent) method to all of our internal data structures? They're a > lot more common than std::* containers. +1 Since C++20

Hi every one: I appreciate the conrtibution every one is making and please forgive me for my question. I have Asterisk running on Linux Redhat9 dstr. I subscribed to a third party sip providers to make LD calls. Can I initiate a call sessions from asterisk CLI> command prompt after I configure extensions.conf and iax.conf? In case I need a soft phone, what is the necessary configuration that

Hi dear R-listers, I'm trying to fit a 3-level model using lme in R. My sample size is about 2965 and 3 factors: year (5 levels), ssize (4 levels), condition (2 levels). When I issue the following command: > lme(var~year*ssize*condition,random=~ssize+condition|subject,data=smp,method ="ML") I got the following error: Error in logLik.lmeStructInt(lmeSt, lmePars) :

I'm in the same situation James is in and thus have the same bias but I'll +1 that comment nevertheless. I think I prefer using size_t or the uintX_t types where applicable. Only when I need a signed value do I use one. On Mon, Jun 10, 2019, 9:59 AM James Henderson via llvm-dev < llvm-dev at lists.llvm.org> wrote: > Maybe it's just because I work in code around the binary

If the observations are normally distributed and the 2xk design is balanced, theory requires that the tests for interaction and row effects be independent. In my program, appended below, this would translate to cntT (approx)= cntR*cntI/N if all R routines were functioning correctly. They aren't. sim2=function(size,N,p){ cntR=0 cntC=0 cntI=0 cntT=0 cntP=0 for(i in 1:N){

On Tue, Jun 11, 2019 at 12:37 AM Aaron Ballman <aaron.ballman at gmail.com> wrote: > Sorry for the brevity, I am currently travelling and responding on a cell > phone. I won't be able to give you a full accounting until later, > There is no hurry right now! > but 1) I don't see a motivating problem this churn solves, 2) signed int > does not represent the full size

On Mon, Jun 10, 2019 at 10:32 AM Aaron Ballman via llvm-dev < llvm-dev at lists.llvm.org> wrote: > > > On Mon, Jun 10, 2019, 7:16 PM Jake Ehrlich via llvm-dev < > llvm-dev at lists.llvm.org> wrote: > >> I'm in the same situation James is in and thus have the same bias but >> I'll +1 that comment nevertheless. I think I prefer using size_t or the

Hi! I am new to looping and R in general; and I have sent waaaay to much time on this one problem and am about a hair away from doing it manually for the next two days. So, there is a package that while calculating the statistic creates lists (that look like matrices) in the background. Each item (there are 10 items) has one of these ‘matrix looking list’ that I need to extract data from. The

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

Hi, I was wondering if anyone could give me advice regarding using the lmer command in lme4 package to do logistic regression (mixed effects model). I use the following command lmer(ISH ~ArrayPathology2, random=~1|PatientID, data=HSDB4.noNA, family="binomial") where ISH is outcome(0 or 1), ArrayPathology2 is the variable of interest(factor), PatientID is random effect(factor), and

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'm about to add weights to a bus on-board survey dataset with ~150 variables and ~28,000 records. My intention is to weight (for each bus "run") by boarding stop and alighting stop. I've seen the Rake function of the Survey package, but it seems that converting to a "svydesign" might be excessive for my purpose. My dataset has a huge number of unique

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