Hi Love,
I have finally had a chance to look at this more closely. I think that
the following link:
https://cran.r-project.org/web/packages/survival/vignettes/adjcurve.pdf
may be useful. See section 4.2.
This is not my area of expertise, but it seems to be a known problem.
Perhaps by posting to
Thank you for responding.
I am truly grateful.
Apologies for omitting evident and pertinent information.
I am using 3.36. I will update to 3.37. I did not notice the newer version.
I realize I needed to be more specific. The attr(, "var") that I am interested
in is displayed with
On Tue, 11 Feb 2020 15:23:14 +
andertech...@protonmail.com wrote:
> The attr(, "var") that I am interested in is displayed with
> str(results) after the results object is declared. First line of the
> subject code looks like:
>
> results <- (if (multicore) parallel::mcapply else
On Tue, 11 Feb 2020 02:33:45 +
AndertechLLC--- via R-help wrote:
> When debugging the code I am not following the generation of values
> in the results object attr(*, "var")" after line 57 completes. These
> values are fed into line 74 (rval <- t(sapply(results, unwrap))).
Which version of
Good day,
I was looking for some help with understanding a particular portion of the
svyby source code.
When debugging the code I am not following the generation of values in the
results object attr(*, "var")" after line 57 completes.
These values are fed into line 74 (rval <- t(sapply(results,
. At this point, I am still exploring R and if I am able
to provide additional feedback on this issue, I will post. I really appreciate
your help. Thank you.
From: Abby Spurdle
Sent: July 27, 2019 9:39:49 PM
To: Mavra Ahmed
Cc: r-help@r-project.org
Subject: Re: [R
> I would like to be able to get p-values between the groups and be able to
adjust for multiple comparisons and would appreciate if someone can guide
me.
> I did convert my df into a svrepdesign object as follows:
> > df<-svrepdesign (data=df1, scale=1, repweights = df1[, 496:995],
type="BRR",
vra Ahmed
Cc: r-help@r-project.org
Subject: Re: [R] Survey Data - comparing multiple groups
> I have ran Kruskal Wallis as follows but get the following error:
> svyranktest(CARB ~ group, df, test=c("KruskalWallis"))
>From the survey package, I assume.
And df is a data frame, I also
> I have ran Kruskal Wallis as follows but get the following error:
> svyranktest(CARB ~ group, df, test=c("KruskalWallis"))
>From the survey package, I assume.
And df is a data frame, I also assume.
(Complete self-contained examples are good).
I checked the documentation.
The second argument is
Hi Everyone,
I am trying to assess whether the mean of carbohydrate intake (dependent
variable = continuous) is significantly different between five groups (groups =
people categorized into five different groups) (independent variable=
categorical). This is survey data with replicates and
Hi Lauren,
As Sarah noted, if your blank responses are coming as NAs, it may be
best to leave them alone until you have done the calculations:
survey$responses<-!is.na(survey[,c("q1","q2","q3")])
survey$sum_survey<-rowSums(survey[,c("q1","q2","q3")],na.rm=TRUE)
# the next line returns a logical
Hi Lauren,
I'm not entirely sure what your sample code is suppoesd to do, since
it isn't complete R code, and it would be much easier to answer your
question if you provided sample data and didn't post in HTML.
dput(head(survey))
would be enough sample data, most likely.
But if I'm
Lauren,
The easier that you make it for us to help you, the more likely you
are to get help and the more helpful the answers will be.
First, please post in plain text (not HTML). Second, reproducible
code (including sample data) helps us help you.
Your code above is incorrect, the 3 lines with
M
y dataset includes a survey completed by research participants to evaluate
quality of life. A few things regarding the survey:
-
*not all questions must be answered for the total score *
- questions left blank are coded as "0"
- the number of questions answered must be determined
Hi,
I'm trying to use both the survey package and the anesrake package to
perform raking on my sample dataset, to get the proportions to match up
with population data from the census.
I'm trying the following, but the resulting weights are very large:
svy.unweighted - svydesign(ids=~1,
could you provide a minimal reproducible example? perhaps use ?dput.
in general the survey package matches all other languages
http://journal.r-project.org/archive/2009-2/RJournal_2009-2_Damico.pdf
here's an example of a minimal reproducible example that does match
Hi,
I'm new to R and have encountered two issues in coding using the survey
package:
(1) Code from *svytable* using survey package does not correspond to
Stata estimates from *svy: tab*. I call
svyd.nation - svydesign(ids = ~1, probs = ~wt_national, strata =
~stratum, data=nats.sub)
hi leandro, in case you're already familiar with ibge's pnad, you might
find these examples useful--
http://www.asdfree.com/search/label/pesquisa%20nacional%20por%20amostra%20de%20domicilios%20%28pnad%29
On Apr 6, 2014, at 2:36 AM, Anthony Damico wrote:
hi leandro, in case you're already familiar with ibge's pnad, you
might
find these examples useful--
http://www.asdfree.com/search/label/pesquisa%20nacional%20por%20amostra%20de%20domicilios%20%28pnad%29
Dear R-Users,
I was using survey for the past years and now I am experiencing some
problems with scripts that was working in the past.
We are working with big data bases so I can't put all variables that I will
use in the svydesign.
Script working:
data(api)
On Thu, Apr 3, 2014 at 2:37 AM, Leandro Marino
leandromar...@leandromarino.com.br wrote:
Dear R-Users,
I was using survey for the past years and now I am experiencing some
problems with scripts that was working in the past.
We are working with big data bases so I can't put all variables
I'm working with NHIS survye data. I'd like the to use muliple imputation
to cover the missing data for the variables in which I'm interested. My
question concerns the use of certain variables in the imputation model.
For example, race would be an important predictor in the imputation
Is this an R question?
Seems like it belongs on a statistical or survey list, not r-help.
Cheers,
Bert
On Thu, Jun 13, 2013 at 10:37 AM, Scott Raynaud scott.rayn...@yahoo.com wrote:
I'm working with NHIS survye data. I'd like the to use muliple imputation
to cover the missing data for the
look up imputation on survey data might be helpful
On Thu, Jun 13, 2013 at 10:45 AM, Bert Gunter gunter.ber...@gene.comwrote:
Is this an R question?
Seems like it belongs on a statistical or survey list, not r-help.
Cheers,
Bert
On Thu, Jun 13, 2013 at 10:37 AM, Scott Raynaud
I paln on using R to do the imputation once I figure out how to do it.
- Original Message -
From: Bert Gunter gunter.ber...@gene.com
To: Scott Raynaud scott.rayn...@yahoo.com
Cc: r-help@r-project.org r-help@r-project.org
Sent: Thursday, June 13, 2013 12:45 PM
Subject: Re: [R] Survey
: Thursday, June 13, 2013 12:45 PM
Subject: Re: [R] Survey imputation
Is this an R question?
Seems like it belongs on a statistical or survey list, not r-help.
Cheers,
Bert
On Thu, Jun 13, 2013 at 10:37 AM, Scott Raynaud scott.rayn...@yahoo.com
wrote:
I'm working with NHIS survye data
I am trying to age standardize using the svystandardize package in R. I
have successfully managed to hit my SUDAAN based targets for estimates by
sex, but not the total. The total is only a little different, but I'd like
some help knowing why it isn't exact. I've included the SUDAAN code that
Hello,
I have got a cluster sample using an election dataset where I already
had the final results of a county-specific election. I am trying to
figure out what would be the best sampling design for my data.
The structure of the dataset is:
1) polling station (in general schools where people
On Fri, Oct 12, 2012 at 6:56 AM, Sebastián Daza
sebastian.d...@gmail.com wrote:
Hello,
I have got a cluster sample using an election dataset where I already
had the final results of a county-specific election. I am trying to
figure out what would be the best sampling design for my data.
The
Hello Thomas,
I use both svymean (with the expanded sample = people), and svyratio
(voting unit level), using the same design:
design -svydesign(id=~station + unit, fpc=~probstation+probunits,
data=sample, pps=brewer)
I got different results using the same sample:
svyratio (voting unit)
Hi. I'm using American Housing Survey (AHS) data with replicate weights. I
want subpopulation estimates. When I try to subset the survey design, I get
an error message. I don't get the error message when not using the replicate
weights (using the regular svydesign function).
Any help would be
I found the problem. My data were not in a data.frame.
Thanks,
Brent
--
View this message in context:
http://r.789695.n4.nabble.com/Survey-package-using-subset-option-with-svyrepdesign-tp4639802p4639858.html
Sent from the R help mailing list archive at Nabble.com.
Hi there, haven't heard from anyone and just wondering if anyone had any
insight! Thanks. :)
--
View this message in context:
http://r.789695.n4.nabble.com/Survey-package-GLM-vs-Linear-Mixed-Models-tp4636207p4637797.html
Sent from the R help mailing list archive at Nabble.com.
Hi there,
I'm new to some of these more advanced regression techniques and also new to
R. This looks like a great forum.
I am trying to examine the association with membership in a group and some
different variables, most of which are (approximately) normally distributed.
Would just do an
Hello,
I'm running R 2.14.1 on OS X (x86_64-apple-darwin9.8.0/x86_64 (64-bit)), with
version 3.28 of Thomas Lumley's survey package. I was using predict() from
svyglm(). E.g.:
data(api)
dstrat-svydesign(id=~1,strata=~stype, weights=~pw, data=apistrat, fpc=~fpc)
out -
On Tue, Feb 14, 2012 at 11:45 AM, Kieran Healy kjhe...@gmail.com wrote:
Hello,
I'm running R 2.14.1 on OS X (x86_64-apple-darwin9.8.0/x86_64 (64-bit)), with
version 3.28 of Thomas Lumley's survey package. I was using predict() from
svyglm(). E.g.:
data(api)
I searched archives for how to do quantile regressions with complex survey
data, and there was nothing that could be helpful to a first time user. I am
looking for equivalent of the functions in quantreg package. A vignette
and/or examples will be very helpful. Is there someone on this list who
If you have trouble viewing or submitting this form, you can fill it out
online:
https://spreadsheets.google.com/viewform?formkey=dGczV2J4ai03NXhqZVZKZHR4YWFZSWc6MQ
Survey on Statistical Computing Email Lists
This is a survey for research purposes. All results would be aggregated and
meet the needs of this project. I've also
tried it with strata=(~strataOne + strataTwo), but that didn't work
either. Does anyone know if its a) possible to do mutiple strata
sampling in R survey, and b) how? I emailed the maintainer a week ago,
but I still haven't heard back.
Thanks,
--
Owen
On Mon, 17 May 2010, Vinh Nguyen wrote:
Dear R-help,
Let me know if I should email r-devel instead of this list. This
message is addressed to Professor Lumley or anyone familiar with the
survey package.
Does svycoxph() implement the method outlined in Binder 1992 as
referenced in the help
On Tue, May 18, 2010 at 8:50 AM, Thomas Lumley tlum...@u.washington.edu wrote:
I
don't believe so since svycoxph() calls coxph() of the survival
package and weights are applied once in the estimating equation. If
the weights are implemented in the ratio, could you point me to where
in
On Tue, 18 May 2010, Vinh Nguyen wrote:
Binder's estimating equations are the usual way of applying weights to a Cox
model, so nothing special is done apart from calling coxph(). To quote the
author of the survival package, Terry Therneau, Other formulae change in
the obvious way, eg, the
Dear R-help,
Let me know if I should email r-devel instead of this list. This
message is addressed to Professor Lumley or anyone familiar with the
survey package.
Does svycoxph() implement the method outlined in Binder 1992 as
referenced in the help file? That is, are weights incorporated in
Dear R-help,
Let me know if I should email r-devel instead of this list. This
message is addressed to Professor Lumley or anyone familiar with the
survey package.
Does svycoxph() implement the method outlined in Binder 1992 as
referenced in the help file? That is, are weights incorporated in
Should the svyby function be able to work with svyquantile? I get the
error below ...
data(api)
dclus1-svydesign(id=~dnum, weights=~pw, data=apiclus1, fpc=~fpc)
svyby(~api00,
design=dclus1,
by = ~stype,
quantiles=c(.25,.5,.75),
FUN=svyquantile,
On Thu, 18 Feb 2010, Richard Valliant wrote:
Should the svyby function be able to work with svyquantile? I get the
error below ...
It works, but you need to either specify ci=TRUE or keep.var=FALSE. The
problem is that svyquantile() by default does not produce standard errors.
On Fri, 3 Apr 2009, Paul Jones wrote:
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
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
what does R have to compare with , say , proc surveymeans, estimate survey
means/proportions with standard errors, using Taylor methods?
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
On 1/8/09, Robert Wilkins iwriteco...@gmail.com wrote:
what does R have to compare with , say , proc surveymeans, estimate survey
means/proportions with standard errors, using Taylor methods?
survey package by Thomas Lumley has pretty much everything you would
need. Way more than SAS, at any
Hello
I have a problem using the package survey:
I'm trying to calculate the prevalence of a disease in animals sampled using a
2 stages sampling system:
first level: farm randomly chosen within 551 farms
second level: animals randomly chosen in the farms
My data base has this aspect:
www.Metro.net
-Original Message-
From: Thomas Lumley [mailto:[EMAIL PROTECTED]
Sent: Thursday, August 28, 2008 11:43
To: Farley, Robert
Cc: r-help@r-project.org
Subject: Re: [R] Survey Design / Rake questions
On Mon, 25 Aug 2008, Farley, Robert wrote:
I see a number of things that bother me.
1
: Saturday, August 23, 2008 09:38
To: Farley, Robert
Cc: r-help@r-project.org
Subject: Re: [R] Survey Design / Rake questions
On Fri, 22 Aug 2008, Farley, Robert wrote:
I *think* I'm making progress, but I'm still failing at the same step. My rake
call fails with:
Error
: Thursday, August 28, 2008 11:43
To: Farley, Robert
Cc: r-help@r-project.org
Subject: Re: [R] Survey Design / Rake questions
On Mon, 25 Aug 2008, Farley, Robert wrote:
I see a number of things that bother me.
1) str(ByEBNum$StnTraveld) says int [1:12] 1 2 3 4 5 6 7 8 9 10 ...
Even
Robert Farley
Metro
www.Metro.net
-Original Message-
From: Thomas Lumley [mailto:[EMAIL PROTECTED]
Sent: Saturday, August 23, 2008 09:38
To: Farley, Robert
Cc: r-help@r-project.org
Subject: Re: [R] Survey Design
To: Farley, Robert
Cc: r-help@r-project.org
Subject: Re: [R] Survey Design / Rake questions
On Fri, 22 Aug 2008, Farley, Robert wrote:
I *think* I'm making progress, but I'm still failing at the same step. My
rake call fails with:
Error in postStratify.survey.design(design, strata[[i
Lumley [mailto:[EMAIL PROTECTED]
Sent: Thursday, August 21, 2008 13:55
To: Farley, Robert
Cc: r-help@r-project.org
Subject: Re: [R] Survey Design / Rake questions
On Tue, 19 Aug 2008, Farley, Robert wrote:
While I'm trying to catch up on the statistical basis of my task, could
someone point me
PROTECTED]
Sent: Thursday, August 21, 2008 13:55
To: Farley, Robert
Cc: r-help@r-project.org
Subject: Re: [R] Survey Design / Rake questions
On Tue, 19 Aug 2008, Farley, Robert wrote:
While I'm trying to catch up on the statistical basis of my task, could
someone point me to how I should fix my R
-5 moonsun_0.1prettyR_1.3-2
foreign_0.8-28
Robert Farley
Metro
www.Metro.net
-Original Message-
From: Farley, Robert
Sent: Monday, August 18, 2008 16:18
To: 'r-help@r-project.org'
Subject: RE: [R] Survey Design
On Mon, Aug 18, 2008 at 6:18 PM, Farley, Robert [EMAIL PROTECTED] wrote:
My motivation is to try to correct for a time on board bias we see in
our surveys. Not surprisingly, riders who are only on board a short
time don't attempt/finish our survey forms. We're able to weight our
survey to
: Wednesday, August 20, 2008 07:13
To: Farley, Robert
Cc: r-help@r-project.org
Subject: Re: [R] Survey Design / Rake questions
On Mon, Aug 18, 2008 at 6:18 PM, Farley, Robert [EMAIL PROTECTED]
wrote:
My motivation is to try to correct for a time on board bias we see
in
our surveys. Not surprisingly
Message-
From: Farley, Robert
Sent: Monday, August 18, 2008 16:18
To: 'r-help@r-project.org'
Subject: RE: [R] Survey Design / Rake questions
Thank you for the list of references. Do you know of any free
references available online? I'll have to find my library card :-)
My motivation
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
Your reading, in increasing order of difficulty/mathematical details,
might be Lohr's Sampling
(http://www.citeulike.org/user/ctacmo/article/1068825), Korn
Graubard's Health Surveys
(http://www.citeulike.org/user/ctacmo/article/553280), and Sarndal et.
al. Survey Math Bible
Kolenikov [mailto:[EMAIL PROTECTED]
Sent: Monday, August 18, 2008 10:32
To: Farley, Robert
Cc: r-help@r-project.org
Subject: Re: [R] Survey Design / Rake questions
Your reading, in increasing order of difficulty/mathematical details,
might be Lohr's Sampling
(http://www.citeulike.org/user/ctacmo
Farley, Robert wrote:
I found and loaded the survey package. ?rake and ?postStratify seem
promising. Are there other packages/procedures I've missed? Are there
online references that an R newbie could use to feel comfortable
applying these procedures to a survey? How about a reference
I found and loaded the survey package. ?rake and ?postStratify seem
promising. Are there other packages/procedures I've missed? Are there
online references that an R newbie could use to feel comfortable
applying these procedures to a survey? How about a reference discussing
the details of
First the R question. I have the results of a rather large survey
(thousands of forms, each with dozens of questions) with some existing
weights and expansion factors. I wish to add additional weighting
factors, based on new information that elements of certain variables
should appear in certain
Hello Everyone,
In preparation for an upcoming talk, I would like to assemble a list
of companies that provide consulting, services, products, or training
for R.
I am already aware of a number of such companies including (in
alphabetical order):
BlueReference http://inference.us
Using the survey package I find it is convenient and easy to get estimated
proportions using svymean, and their corresponding estimated standard
errors. But is there any elegant/simple way to calculate corresponding
confidence intervals for those proportions? Of course +/- 1.96 s.e. is a
On Tue, 12 Feb 2008, Peter Holck wrote:
Using the survey package I find it is convenient and easy to get estimated
proportions using svymean, and their corresponding estimated standard
errors. But is there any elegant/simple way to calculate corresponding
confidence intervals for those
Thomas and David,
Thanks for your answers. The svyvar() function does the trick. It does not
provide a vcov() method for the variance-covariance matrix of these
estimates themselves. But I guess I can bootstrap them using
library(boot)...
Thanks again, daniel
On Jan 25, 2008 6:13 PM, Thomas
Hello
Does anybody happen to know if it is possible to use the survey package to
estimate a covariance matrix from a complex survey?
I have design weights and clusters (no strata), and want to get a covariance
matrix with preferably the effective sample size or else an estimate of the
Daniel Oberski [EMAIL PROTECTED] wrote in
news:[EMAIL PROTECTED]:
Hello
Does anybody happen to know if it is possible to use the survey
package to estimate a covariance matrix from a complex survey?
I have design weights and clusters (no strata), and want to get a
covariance matrix with
David Winsemius [EMAIL PROTECTED] wrote in
news:[EMAIL PROTECTED]:
Daniel Oberski [EMAIL PROTECTED] wrote in
news:[EMAIL PROTECTED]:
Hello
Does anybody happen to know if it is possible to use the survey
package to estimate a covariance matrix from a complex survey?
I have design
, Mehtabul
Cc: [EMAIL PROTECTED]
Subject: Re: [R] survey weights in sample with replacement
On Tue, 30 Oct 2007, Azam, Mehtabul wrote:
Hi,
I am trying to draw a random sample from an household survey with
sample weight. Is there any function in R or Splus which allows this.
It depends
Hi,
I am trying to draw a random sample from an household survey with sample
weight. Is there any function in R or Splus which allows this.
Regards,
***
Mehtabul Azam
Department of Economics
Southern Methodist University
Dallas TX
On 31/10/07 4:03 PM, Azam, Mehtabul wrote:
I am trying to draw a random sample from an household survey with
sample weight. Is there any function in R or Splus which allows this.
I'm not sure if this what you're after, but R's pps package lets you
sample with probability proportional
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