Ok, that's more helpful.
The problem is with replicate-weight designs, and it's because svyglm()
uses the fitted coefficients from the point estimate as starting values for
fitting the replicates. And even if that is changed, the computation of
the replicate variance doesn't like all the
Well, I have uploaded the data in the public folder of my dropbox. Due
to data confidentiality, I haved to change the labels. To load the data:
con - url( http://dl.dropboxusercontent.com/u/101865137/datEx.rda; )
print(load(con))
# The replicate weights were created according to the jackknife
Hello,
I want to specify a linear regression model in which the metric outcome
is predicted by two factors and their interaction. glm() computes
effects for each factor level and the levels of the interaction. In the
case of singularities glm() displays NA for the corresponding
coefficients.
On Fri, May 3, 2013 at 2:27 AM, Sebastian Weirich
sebastian.weir...@iqb.hu-berlin.de wrote:
Hello,
I want to specify a linear regression model in which the metric outcome is
predicted by two factors and their interaction. glm() computes effects for
each factor level and the levels of the
Hello,
svyvar from the survey package computes variances (with standard errors)
from survey design objects. Is there any way to compute standard
deviations and their standard errors in a similar manner?
Thanks a lot,
Sebastian
__
On Tue, Oct 16, 2012 at 10:40 PM, Sebastian Weirich
sebastian.weir...@iqb.hu-berlin.de wrote:
Hello,
svyvar from the survey package computes variances (with standard errors)
from survey design objects. Is there any way to compute standard deviations
and their standard errors in a similar
] package survey
On Dec 18, 2010, at 8:11 PM, Joel Schwartz wrote:
and does anyone know if it is possible to find the
codes for functions in survey package?
Yes, you can find the code by doing the following:
1) Go to the CRAN R package list
Hi R users,
could someone help me to find out which formulas, for standard error
calculation, are used in following example:
a=data.frame(weights=rep(c(10,1),c(4,1)),fpc=rep(41,5),uk=rep(1,5))
srs-svydesign(id=~1, weights=~weights, data=a)
srs1-svydesign(id=~1, weights=~weights,fpc=~fpc,
but ,if there
is, I haven't learned it yet.
Joel
-Original Message-
From: r-help-boun...@r-project.org
[mailto:r-help-boun...@r-project.org] On Behalf Of andrija djurovic
Sent: Saturday, December 18, 2010 4:23 PM
To: r-help@r-project.org
Subject: [R] package survey
Hi R users,
could someone
-
From: r-help-boun...@r-project.org
[mailto:r-help-boun...@r-project.org] On Behalf Of andrija djurovic
Sent: Saturday, December 18, 2010 4:23 PM
To: r-help@r-project.org
Subject: [R] package survey
Hi R users,
could someone help me to find out which formulas, for
standard error calculation
-Original Message-
From: David Winsemius [mailto:dwinsem...@comcast.net]
Sent: Saturday, December 18, 2010 5:54 PM
To: Joel Schwartz
Cc: r-help@r-project.org
Subject: Re: [R] package survey
On Dec 18, 2010, at 8:11 PM, Joel Schwartz wrote:
and does anyone know
Hi,
Iâm using the svyby for total statistics, for example:
svyby(~p_igov,~div_a,desenho_nps,svytotal,drop.empty.groups=TRUE,vartype
=c(se,var,cvpct))
In the numerical variable p_igov (and others) I have many non responses
but if I maintain the NA it doesnât work.
I think this has already been fixed in version 3.9-1.
Also, you probably want to add na.rm=TRUE to the call
svyby(~p_igov,~div_a,desenho_nps,svytotal,drop.empty.groups=TRUE,vartype
=c(se,var,cvpct), na.rm=TRUE)
otherwise the estimated total will be NA whenever any observation is NA.
On Sun, 23 Sep 2007, Rita Cristina Pinto Sousa wrote:
I?m using the package survey to obtain the statistics, fundamentally the
variance estimates. Can you explain why do I obtain the same result with the
replicate weights (as.svrepdesign function), for a stratified sample, and
without the
Hello,
How I use the function as.svrepdesign without memory.size problems?
desenho_npc_JK - as.svrepdesign(desenho_npc,type=JKn)
Error: cannot allocate vector of size 161.3 Mb
In addition: Warning messages:
1: Reached total allocation of 1022Mb: see help(memory.size)
2: Reached total
On Thu, 20 Sep 2007, Rita Sousa wrote:
How I use the function as.svrepdesign without memory.size problems?
desenho_npc_JK - as.svrepdesign(desenho_npc,type=JKn)
Error: cannot allocate vector of size 161.3 Mb
There is currently no easy way to affect the amount of memory that this
uses,
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