Displaying 5 results from an estimated 5 matches for "id_an".
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id_a
2008 Sep 12
2
Fw: Complex sampling survey _ Use of survey package
...lt;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 my database
>
> here is the table with the comlums of interest
>
> num esp fpc1 Totanim Id_An
> 2045 G 551 12 10
> 2046 C 551 68 11
> 2070 G 551 9 50
> 2070 S 551 9 51
> 2070 S 551 9 52
>
>
>
> yes Totanim is the total number of animals in the farm and num is the
> total number of herds
>
> I keep on obtaining this error message
>
> clustot<-svy...
2008 Sep 11
1
Complex sampling survey _ Use of survey package
...posed 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
01-Q1
0
0
12
1
551
10
10
11
2046
G
01-Q1
8
0
60
1
551
11
11
50
2070
G
01-Q1
0
3
6
1
551
50...
2008 Sep 09
1
survey package
Version 3.9 of the survey package is now on CRAN. Since the last
announcement (version 3.6-11, about a year ago) the main changes are
- Database-backed survey objects: the data can live in a SQLite (or other
DBI-compatible) database and be loaded as needed.
- Ordinal logistic regression
- Support for the 'mitools' package and multiply-imputed data
- Conditioning plots,
2008 Sep 09
1
survey package
Version 3.9 of the survey package is now on CRAN. Since the last
announcement (version 3.6-11, about a year ago) the main changes are
- Database-backed survey objects: the data can live in a SQLite (or other
DBI-compatible) database and be loaded as needed.
- Ordinal logistic regression
- Support for the 'mitools' package and multiply-imputed data
- Conditioning plots,
2011 Aug 23
1
pMCMC and HPD in MCMCglmm
Dear R users,
I?d like to pose aquestion about pMCMC and HDP.
I have performed a mixed logistic regression by MCMCglmm (a very good package)
obtaining the following results:
Iterations = 250001:799901
Thinning interval = 100
Sample size = 5500
DIC: 10.17416
G-structure: ~ID_an
post.mean l-95% CI u-95% CIeff.samp
ID_an 0.7023 0.0001367 3.678 2126
R-structure: ~units
post.mean l-95% CIu-95% CI eff.samp
units 1 1 1 0
Location effects: febbreq~ as.factor(sex)
post.mean l-95% CIu-95% CI eff.samp pMCMC
(Intercept) -3.6332 -5.6136 -1.7719 3045 <2e-04 ***
as.facto...