Dear list:
I am getting p-values and confidence intervals contradictory in
svyglm() output from the survey package.
Here is a reproducible example:
https://ehsanx.github.io/SurveyDataAnalysis/#114_Regression_analysis
This problem can be easily fixed by setting appropriate df.resid in
the summary
hi, could you create a reproducible example starting from
http://asdfree.com/pesquisa-nacional-de-saude-pns.html ? thanks
On Mon, Dec 4, 2017 at 9:56 AM, Luciane Maria Pilotto via R-help <
r-help@r-project.org> wrote:
> Hi,
> I am trying to run analyzes incorporating sample weight, strata and
>
Hi,
I am trying to run analyzes incorporating sample weight, strata and cluster
(three-stage sample) with PNS data (national health survey) and is giving
error. I describe below the commands used. I could not make the code
reproducible properly.
Thanks,
##
roject.org
Subject: Re: [R] Svyglm Error
hi, i am not hitting an error when i copy and paste your code into a fresh
console. maybe compare your sessionInfo() to mine?
> sessionInfo()
R version 3.4.1 (2017-06-30)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows Serve
hi, i am not hitting an error when i copy and paste your code into a fresh
console. maybe compare your sessionInfo() to mine?
> sessionInfo()
R version 3.4.1 (2017-06-30)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows Server 2008 R2 x64 (build 7601) Service Pack
Greetings,
I am revisiting code from several different files I have saved from the past
and all used to run flawlessly; now when I run any of the svyglm related
functions, I am coming up with an error:
Error in model.frame.default(formula = F3ATTAINB ~ F1PARED, data = data, :
the ... list do
I'm running some regressions on data from the American Community
Survey, with replicate weights for variance estimation, using the
svyglm function from the survey package.
For my larger regressions, all of the standard errors were reported as Inf.
I did a bit of digging through the code, and figu
set
> = pcttest > 90)))
> --- snip---
>
> The last two commands produce the same results.
>
> I hope this helps,
> John
>
> -
> John Fox, Professor
> McMaster University
> Hamilton, Ontario
> Canada
t;
> The last two commands produce the same results.
>
> I hope this helps,
> John
>
> -
> John Fox, Professor
> McMaster University
> Hamilton, Ontario
> Canada L8S 4M4
> Web: socserv.mcmaster.ca/jfox
>
>
>
> > -Ori
McMaster University
Hamilton, Ontario
Canada L8S 4M4
Web: socserv.mcmaster.ca/jfox
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Courtney
> Benjamin
> Sent: September 23, 2016 11:01 PM
> To: r-help@r-project.org
> Subj
hi could you make this a minimal reproducible example?
On Sep 24, 2016 12:03 PM, "Courtney Benjamin" wrote:
> In attempting to use the svyglm call in the R Survey Package, I am
> receiving the error: Error in pwt[i] : invalid subscript type 'list'
>
> I have not been able to find a lot of inform
In attempting to use the svyglm call in the R Survey Package, I am receiving
the error: Error in pwt[i] : invalid subscript type 'list'
I have not been able to find a lot of information on how to resolve the error;
one source advised it was related to how the subsetting command was executed.
Th
This is probably a case of incorrect import format conversion... You may be
looking at the visual representation of the data within R but not the structure
of the data within R. Use the str function to find out more about your data as
R understands it... if you actually have empty strings mixed
Yes, when I say that the cells are blank in the data frames I do mean that
the contents of the cells are blank characters "".
I have put in a lot of time trying to understand R, but I have no formal
programming background, so I do not necessarily always know the correct
terminology for something, a
Disclaimer:
I have not followed this thread and claim no statistical expertise. I
just wanted to point out a couple of misconceptions that may be
relevant. Inline below.
Cheers,
Bert
Bert Gunter
Genentech Nonclinical Biostatistics
(650) 467-7374
"Data is not information. Information is not know
Thanks for your reply, Thomas.
Yes, this is NCES data.
There are no negative or missing weights.
I am not a programmer and so I'm afraid I don't understand what you mean by
not being able to have blank cells in a data.frame object - What I mean
specifically is that in the csv file which I impor
This is some sort of NCES data, right?
I can't see any way to get that particular error (which happens inside
glm.fit()) for a logistic model.
Are there any negative or missing weights?
What do you mean 'represented by blank cells' -- you can't have blank
cells in a data.frame object?
What d
Hello,
I am using the survey package for the first time to analyze a dataset that
has both weights and 200 BRR replication weights. When I try to run svyglm
on the output from svrepdesign, I get an error message that I do not know
how to interpret, and an extended period of time searching for this
On Jul 25, 2012, at 4:35 PM, Diana Marcela Martinez Ruiz
wrote:
>
>
> hello
> I want to know why when I use the function "svyglm" for a logistic regression
> I get the AIC: NA. The code and the result is mestran below:
>
> mod2<-svyglm(APES_DICOT~Nivel_Educativo+Ocupacion_principal+Afiliaci
hello
I want to know why when I use the function "svyglm" for a logistic regression
I get the AIC: NA. The code and the result is mestran below:
mod2<-svyglm(APES_DICOT~Nivel_Educativo+Ocupacion_principal+Afiliacion_salud+Tiene_cuidador+Presencia_enfer_cronica+
Consumo_tabaco+Consumo_alcohol+
It seems the var names you've put are not the same as in the design object:
"all variables must be in design= argument ": that means the object you've
assigned in mydesign <- svydesign(ids=~vill_neigh_code+clust,
strata=~strat, weights=~sweight, data=mydata)
Check the spelling. Note that the "myd
I formed a survey design as:
> library(survey)
> mydesign <- svydesign(ids=~vill_neigh_code+clust, strata=~strat,
> weights=~sweight, data=mydata)
where
strat: stratum (urban or (sub-county) rural).
clust: batch of interviews that were part of the same random walk
vill_neigh_code: village or
Hello,
This question is relevant for users of the survey package and the function
'svyglm'.
I am fitting a model using a normal link (linear regression) and would like to
compute the R-squared. How can I retrieve or compute this from the data
structure returned from svyglm?
Thank you,
Chirag
On Fri, 19 Dec 2008, Roberta Pereira Niquini wrote:
Hi,
I would like to estimate coefficients using poisson regression and then get
standard errors that are adjusted for heteroskedasticity, using a complex
sample survey data. Then I will calculate prevalence ratio and confidence
intervals.
Can
Hi,
I would like to estimate coefficients using poisson regression and then get
standard errors that are adjusted for heteroskedasticity, using a complex
sample survey data. Then I will calculate prevalence ratio and confidence
intervals.
Can sandwich estimator of variance be used when observa
On Thu, 18 Dec 2008, Corey Sparks wrote:
Dear list,
I am using svyglm in the survey library to fit a binomial logistic regression
accounting for sample design. The documentation says the models are not fit by
maximum likelihood, so my question is what is the fitting method? Pseudo
likelihoo
Dear list,
I am using svyglm in the survey library to fit a binomial logistic
regression accounting for sample design. The documentation says the
models are not fit by maximum likelihood, so my question is what is
the fitting method? Pseudo likelihood? Generalized least squares?
Thanks
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