Displaying 20 results from an estimated 23 matches for "6fn".
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6f
2012 Jul 09
3
Predicted values for zero-inflated Poisson
Hi all-
I fit a zero-inflated Poisson model to model bycatch rates using an offset term for effort. I need to apply the fitted model to a datasets of varying levels of effort to predict the associated levels of bycatch. I am seeking assistance as to the correct way to code this.
Thanks in advance!
Laura
[[alternative HTML version deleted]]
2013 Jan 14
0
Course: Introduction to zero inflated models and GLMM
...36-3
4. Zero Inflated Models and Generalized Linear Mixed Models with R. (2012) Zuur, Saveliev, Ieno.
http://www.highstat.com/book4.htm
Other books: http://www.highstat.com/books.htm
Statistical consultancy, courses, data analysis and software
Highland Statistics Ltd.
6 Laverock road
UK - AB41 6FN Newburgh
Tel: 0044 1358 788177
Email: highstat at highstat.com
URL: www.highstat.com
URL: www.brodgar.com
--
Dr. Alain F. Zuur
First author of:
1. Analysing Ecological Data (2007).
Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p.
URL: www.springer.com/0-387-45967-7
2. Mixed effects models a...
2009 Nov 16
1
Paper on data exploration
...ons in ecology with R. (2009).
Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer.
3. A Beginner's Guide to R (2009).
Zuur, AF, Ieno, EN, Meesters, EHWG. Springer
Statistical consultancy, courses, data analysis and software
Highland Statistics Ltd.
6 Laverock road
UK - AB41 6FN Newburgh
Email: highstat at highstat.com
URL: www.highstat.com
--
View this message in context: http://old.nabble.com/Paper-on-data-exploration-tp26382087p26382087.html
Sent from the R help mailing list archive at Nabble.com.
2003 Mar 23
1
export lm object to ascii from batch mode
2009 Sep 04
3
Using anova(f1, f2) to compare lmer models yields seemingly erroneous Chisq = 0, p = 1
Hello,
I am using R to analyze a large multilevel data set, using
lmer() to model my data, and using anova() to compare the fit of various
models. When I run two models, the output of each model is generated
correctly as far as I can tell (e.g. summary(f1) and summary(f2) for the
multilevel model output look perfectly reasonable), and in this case (see
below) predictor.1 explains vastly more
2006 Oct 08
0
3-day R course in Lisbon
...r
First author of:
Analysing Ecological Data (2007).
Zuur, AF, Ieno, EN and Smith, GM.
Springer. 680 p.
URL: www.springer.com/0-387-45967-7
Other books: http://www.brodgar.com/books.htm
Statistical consultancy, courses, data analysis and software
Highland Statistics Ltd.
6 Laverock road
UK - AB41 6FN Newburgh
Tel: 0044 1358 788177
Email: highstat at highstat.com
URL: www.highstat.com
URL: www.brodgar.com
2009 Jul 30
1
creating subsets within lm()
Dear All,
the lm() function has the possibility to create a subset of the
possible explaining variables that you have. However, in the help
there is no example how to use this subset option. I tried the
following:
model<-lm(dependent.data$MPFD~.,data=explaining.data,subset=c(1,0,0,0,0,0,0,0,1,1,0,0))
MPFD is the dependent variable stored in the data frame
dependent.data, and all 12
2009 Sep 17
1
Dealing with heterogeneity with varComb weights
Hi,
I am trying to add multiple variance structures such as the first example
below:
vf1 <- varComb(varIdent(form = ~1|Sex), varPower())
However my code below will not work can anybody please advise me?
VFcomb<-varComb(varExp(form=~depcptwithextybf),varFixed(form=~FebNAO))
also if you have two variables with the same weights function would you
write that as:
2012 Jul 15
0
NaN in hurdle model please?
...36-3
4. Zero Inflated Models and Generalized Linear Mixed Models with R. (2012) Zuur, Saveliev, Ieno.
http://www.highstat.com/book4.htm
Other books: http://www.highstat.com/books.htm
Statistical consultancy, courses, data analysis and software
Highland Statistics Ltd.
6 Laverock road
UK - AB41 6FN Newburgh
Tel: 0044 1358 788177
Email: highstat@highstat.com
URL: www.highstat.com
URL: www.brodgar.com
[[alternative HTML version deleted]]
2012 Oct 11
0
Course: Data exploration, regression, GLM & GAM with R introduction
...36-3
4. Zero Inflated Models and Generalized Linear Mixed Models with R. (2012) Zuur, Saveliev, Ieno.
http://www.highstat.com/book4.htm
Other books: http://www.highstat.com/books.htm
Statistical consultancy, courses, data analysis and software
Highland Statistics Ltd.
6 Laverock road
UK - AB41 6FN Newburgh
Tel: 0044 1358 788177
Email: highstat at highstat.com
URL: www.highstat.com
URL: www.brodgar.com
2013 Feb 04
0
Banff Canada: Mixed modelling course
...6-3
4. Zero Inflated Models and Generalized Linear Mixed Models with R.
(2012) Zuur, Saveliev, Ieno.
http://www.highstat.com/book4.htm
Other books: http://www.highstat.com/books.htm
Statistical consultancy, courses, data analysis and software
Highland Statistics Ltd.
6 Laverock road
UK - AB41 6FN Newburgh
Tel: 0044 1358 788177
Email: highstat@highstat.com
URL: www.highstat.com
URL: www.brodgar.com
[[alternative HTML version deleted]]
2013 Nov 21
0
Course: Introduction to Linear mixed effects models, GLMM and MCMC with R
...ta (2007)
2. Mixed effects models and extensions in ecology with R (2009)
3. A Beginner's Guide to R (2009)
4. Zero Inflated Models and GLMM with R (2012)
5. A Beginner's Guide to GAM (2012)
6. A Beginner's Guide to GLM and GLMM (2013)
Highland Statistics Ltd.
6 Laverock road
UK - AB41 6FN Newburgh
Tel: 0044 1358 788177
Email: highstat at highstat.com
URL: www.highstat.com
URL: www.brodgar.com
2009 Jul 27
2
local regression using loess
Hi, All,
I have a dataset with binary response ( 0 and 1) and some numerical
covariates. I know I can use logistic regression to fit the data. But I want
to consider more locally. So I am wondering how can I fit the data with
'loess' function in R? And what will be the response: 0/1 or the probability
in either group like in logistic regression?
Thank you,
Cindy
[[alternative HTML
2009 Oct 06
2
how to fit time varying coefficient regression model?
Hi - I read through dse package manual a bit. I'm not quite certain
how I can use it to estimate a time varying coefficient regression
model? I might pick up an inappropriate package. Any suggestion would
be greatly appreciated. Thank you.
rh
2010 Jan 05
2
Checking for normality and homogeneity of variance
Dear all,
I'm a beginner of R and I need to carry out some three-way mixed ANOVAs.
Following examples at http://personality-project.org/r/r.anova.html, I
managed to get the ANOVA part, but I don't know how can I check data
normality and homogeneity of variance in R (since they're the required
assumptions of ANOVA analysis).
Are there any special command/packages? Could anyone give me
2013 Jun 20
0
New book: Beginner's Guide to GLM and GLMM with R
...36-3
4. Zero Inflated Models and Generalized Linear Mixed Models with R. (2012) Zuur, Saveliev, Ieno.
http://www.highstat.com/book4.htm
Other books: http://www.highstat.com/books.htm
Statistical consultancy, courses, data analysis and software
Highland Statistics Ltd.
6 Laverock road
UK - AB41 6FN Newburgh
Tel: 0044 1358 788177
Email: highstat at highstat.com
URL: www.highstat.com
URL: www.brodgar.com
2012 Jul 09
2
mfrow and centering plots when there's an odd number
Let me start with an example:
par(mfrow=c(2,3))
for (i in 1:5){
x = rnorm(100)
y = .5*x + rnorm(100, 0, sqrt(1-.5^2))
plot(x,y)
}
Note that there's five plots and six spaces for those plots via mfrow,
leaving one row empty. Is there a way to have the bottom two plots
centered? I think it looks weird to have them left-justified. Thanks in
advance for the help!
--
Dustin Fife
PhD
2009 Oct 05
2
GLM quasipoisson error
Hello,
I'm having an error when trying to fit the next GLM:
>>model<-glm(response ~ CLONE_M + CLONE_F + HATCHING
+(CLONE_M*CLONE_F) + (CLONE_M*HATCHING) + (CLONE_F*HATCHING) +
(CLONE_M*CLONE_F*HATCHING), family=quasipoisson)
>> anova(model, test="Chi")
>Error in if (dispersion == 1) Inf else object$df.residual :
missing value where TRUE/FALSE needed
If I fit
2009 Jul 31
3
Compare lm() to glm(family=poisson)
Dear R-helpers,
I would like to compare the fit of two models, one of which I fit using lm()
and the other using glm(family=poisson). The latter doesn't provide
r-squared, so I wonder how to go about comparing these
models (they have the same formula).
Thanks very much,
Mark Na
[[alternative HTML version deleted]]
2009 Jul 27
2
Multiple graphs
Hi,
I wrote a simple master function, run(), that has inside six qplot
functions. The goal is to type run() and have all six graphs appear as
separate windows so that I can copy them into PowerPoint for a client.
When I type run(), only the last graph appears, the first five
apparently being overwritten. How do I get all six in separate windows,
ready for copying?
By the way, is the a way