7-763-8633
From: William Dunlap
Sent: Thursday, October 27, 2016 9:59 PM
To: Courtney Benjamin
Cc: Anthony Damico; r-help@r-project.org; Thomas Lumley
Subject: Re: [R] Significance of Svyrepdesign Object Warning
For, now I would just use na.action=na.omit instead of na.ex
> State University of New York at Binghamton
>
> cbenj...@btboces.org
>
> 607-763-8633
> ------
> *From:* William Dunlap
> *Sent:* Sunday, October 23, 2016 2:24 PM
> *To:* Anthony Damico
> *Cc:* Courtney Benjamin; r-help@r-project.org; Thomas Lu
From: William Dunlap
Sent: Sunday, October 23, 2016 2:24 PM
To: Anthony Damico
Cc: Courtney Benjamin; r-help@r-project.org; Thomas Lumley
Subject: Re: [R] Significance of Svyrepdesign Object Warning
The immediate problem could be solved by changing the following lines in
survey:::su
:cbenj...@btboces.org>
607-763-8633
From: William Dunlap
Sent: Sunday, October 23, 2016 2:24 PM
To: Anthony Damico
Cc: Courtney Benjamin; r-help@r-project.org; Thomas Lumley
Subject: Re: [R] Significance of Svyrepdesign Object Warning
The immediate problem co
The immediate problem could be solved by changing the following lines in
survey:::summary.svrepglm from
presid <- resid(object, "pearson")
dispersion <- sum(object$survey.design$pweights * presid^2,
na.rm = TRUE)/sum(object$survey.design$pweights)
to
presid <- resid(object, "pea
hi, great example. i am ccing survey package author/maintainer dr.
lumley. why do you have `na.action=na.exclude`? if you remove it, things
work as expected--
library(RCurl)
library(survey)
data <- getURL("
https://raw.githubusercontent.com/cbenjamin1821/careertech-ed/master/elsq1a
Hello R Users,
I am using Lumley's Survey Package in R to analyze complex survey data that
involves 200 balanced repeated replicate (BRR) weight variables. I have
ensured that my svyrepdesign object that specifies the application of the BRR
weights to the data set is accurate and I have matche
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