might not matter for your application but it’s probably worth thinking
about. Simulation experiments might shed some light on that.
Cheers, Andrew
--
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Chief Executive Officer, CEBRA and Professor of Biosecurity,
School/s of BioSciences and Mathematics & Statistics
Universit
Not a direct answer but you may find lm.fit worth experimenting with.
Also try the high-performance computing task view on CRAN
Cheers,
Andrew
--
Andrew Robinson
Chief Executive Officer, CEBRA and Professor of Biosecurity,
School/s of BioSciences and Mathematics & Statistics
Universit
Hi John,
the negative binomial is a tricky one - there are several different
parameterisations and therefore different interpretations of the parameters.
Joseph Hilbe wrote a whole book on it that might be wroth checking.
Cheers,
Andrew
--
Andrew Robinson
Chief Executive Officer, CEBRA and
Hi Bob,
there may be more efficient ways to go about it but I would use R to scrape the
contents of
http://home.brisnet.org.au/~bgreen/Data/Hanson1/
http://home.brisnet.org.au/~bgreen/Data/Hanson2/
in order to form the URLs of the files, and then loop over the URLs.
Cheers,
Andrew
--
Andrew
Try something like
with(df, predict(smooth.spline(x = altitude, y = atm_values), deriv = 1))
Cheers,
Andrew
--
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School/s of BioSciences and Mathematics & Statistics
University of Melbourne, VIC 3010 Australia
Tel:
I wonder if you mean that you want the levels of the factor to reset within
each month? That is not obvious from your example, but implied by your
question.
Andrew
--
Andrew Robinson
Director, CEBRA and Professor of Biosecurity,
School/s of BioSciences and Mathematics & Statistics
Univer
Hi Rolf,
It might also be worth experimenting to see if
y ~ 1 / ( 1 - a[z]/x )
yields the same result. It might be cleaner if x appears only once in the
expression.
Cheers,
Andrew
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University of Melbourne, VIC
hecks, and was published on
CRAN. We were then besieged with complaints from native German speakers. So
we changed the name.
Best wishes,
Andrew
--
Andrew Robinson
Director, CEBRA and Professor of Biosecurity,
School/s of BioSciences and Mathematics & Statistics
University of Melbo
MPANY <- paste("NEC", location$ASSIGNED_COMPANY)
or you can just do
location$ASSIGNED_COMPANY[location$NAME == "ABERDEEN PROVING GROUND"] <- "NEC
Aberdeen"
for each option
Cheers,
Andrew
--
Andrew Robinson
Director, CEBRA and Professor of Biosecurity,
Try
paste(x, collapse = ", ")
Cheers,
Andrew
--
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School/s of BioSciences and Mathematics & Statistics
University of Melbourne, VIC 3010 Australia
Tel: (+61) 0403 138 955
Email: a...@unimelb.edu.au
Hi Ravi,
that's an interesting claim and N-M. Can you provide any reading matter to
support it?
Cheers,
Andrew
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School/s of BioSciences and Mathematics & Statistics
University of Melbourne, VIC 3010 Australia
Tel: (+61)
Hi John,
I wonder if you can suggest some reading material on that topic? A cursory
search of the net doesn't uncover anything obvious.
Andrew
--
Andrew Robinson
Director, CEBRA and Professor of Biosecurity,
School/s of BioSciences and Mathematics & Statistics
University of Melbo
pmax() should work in this instance, as in any case you want the larger value.
Andrew
--
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Reader & Associate Professor in Applied Statistics Tel: (+61) 0403 138 955
School of Mathematics and Statistics Fax: (+61) 03 8344 4599
Universit
want colour, go watch WWE.
Best wishes,
Andrew
--
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Director, CEBRA, School of BioSciences
Reader & Associate Professor in Applied Statistics Tel: (+61) 0403 138 955
School of Mathematics and StatisticsFax: (+61) 03 8344
4599
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d use min(Area) as a, figure out b from the maximum (I guess 2b+a is the
asymptote), and experiment with two values for year to retrieve c and d
uniroot might help?
Cheers
Andrew
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mmented, minimal, self-contained, reproducible code.
>
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> > and provide commented, minimal, self-contained, reproducible code.
>
>
>
> --
> Joshua Wiley
> Ph.D. Student, Health Psychology
> Uni
oot" respects the subject level information?
>
> It would be doing so because that is the way you set up the indexing. The
> column ordering tof the data within subjects is not permuted.
>
> I do think you are beyond your understanding of the statstical principles
> th
at the resampling procedure used by
> "boot" respects the subject level information?
>
> Thanks a lot for your help/advice!
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> PLEASE do read
[["E"]] <- List[["E"]] + 100
> > str(List)
> List of 3
>$ Eleven: num 11
>$ Twelve: chr "xii"
>$ E : num(0)
> > List[["Eleven"]] <- List[["Eleven"]] + 100
> > str(List)
> List of 3
>
;m curious to know whether you can point to some consolidated comparison?
Best wishes,
Andrew
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Department of Mathematics and StatisticsTel: +61-3-8344-6410
University of Melbourne, VIC 3010 Australia (prefer email)
http://www.ms.u
hen
>
>
>
> estimable(mylm, myCmatrix)
>
>
>
> produces all coefficients for the equations/models at all levels.
>
> As I do not know how lm is computed,
>
> does anyone know how to obtain myCmatrix from mylm object?
> Thanks,
>
> -chunlin
>
> On
iling list
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ng list
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Department o
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Department of Mathema
> -Original Message-
> > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> > project.org] On Behalf Of Andrew Robinson
> > Sent: Monday, June 13, 2011 7:03 PM
> > To: R-Help Discussion
> > Subject: [R] Off-topic: (Simple?) Random Sampling when n is a random
On Tue, Jun 14, 2011 at 11:02:52AM +1000, Andrew Robinson wrote:
> Hi everyone,
>
> I'm involved in a discussion with a colleague. He suggested a sample
> design for a finite-sized process that (to all intents and purposes)
> involves tossing a coin and examining the un
ations?
3) can anyone suggest some citations that provide guidance either way?
Thanks for any assistance!
Andrew
--
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Program Manager, ACERA
Department of Mathematics and StatisticsTel: +61-3-8344-6410
University of Melbourne, VIC 3010 Australia
i?re
>
> 44300 Nantes
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Mir escribió:
> >El 06/05/11 01:33, Andrew Robinson escribió:
> >>Hi Arnau,
> >>
> >>please send the output of sessionInfo() and the exact commands and
> >>response that you used to install and load apTreeshape.
> >>
> >
>
> Sorry,
bennett.katr...@gmail.com
>
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ound B+C. My
> model is actually A*B+C. And I'm not sure how to obtain the two-way
> prediction of AB with C marginalized. Thanks.
>
> Pang
>
> -Original Message-
> From: Andrew Robinson [mailto:a.robin...@ms.unimelb.edu.au]
> Sent: Wednesday, May 04,
; and provide commented, minimal, self-contained, reproducible code.
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Department of Mathematics and StatisticsTel: +61-3-8344-6410
University of Melbourne, VIC 3010 Australia (prefer email)
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--
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Program Manager, ACERA
Department of Mathematics and StatisticsTel: +61-3-8344-6410
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uide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
--
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Department of Mathematics and StatisticsTel: +61-3-8344-6410
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> > loaded via a namespace (and not attached):
> > [1] rJava_0.8-8
> >
> >
> >
> >
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non-(list or vector) of type
>'NULL'
>
>and:
>
>>
>
> maxBHHH(logLikALS4,grad=nuGradientC5,finalHessian="BHHH",start=prm,iterlim=2)
>Error in gr[, fixed] <- NA : (subscript) logical subscript too long
>I
t; Fax: +45 8942 2722
>
> andrew.st...@biology.au.dk
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hod is our last hope and so, any help will be greatly
> appreciated.
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> --
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> Rohit
> Mob: 91 9819926213
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0 0 1 43 2.7535052
> > 6 1 1 0 0 0 0 0 1 50 1.6200326
> > 7 1 0 0 0 0 0 0 1 30 0.5750533
> > 8 1 1 0 0 0 0 0 0 42 5.9224777
> > 9 1 0 0 1 0 0 0 1 49 2.0401528
> > 10 1
; cor (simtest)
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.y.co.ordinate line.colour.value
> 300 300 2289 20289 2 300 300 2692 20467 1 300 300 3010 20608 2 300 300
> 2727 19828 1 300 300 2606 20056 2 300 300 16244 21416 1 300 300 16154 21899
> 2 300 300 16941 21434 1 300 300 17356 20205 2 300 300 16928 21245 1 300 300
> 16011 21024 2 3
thz.ch/mailman/listinfo/r-help
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esota Center for Twin and Family Research
> Department of Psychology
> University of Minnesota
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> and provide commented, min
min)
> coef(glmn.fit2)
>
>
>
> Thanks a lot
>
> btw: how to calculate the C.I. of coefs?
>
>
> *Yao Zhu*
> *Department of Urology
> Fudan University Shanghai Cancer Center
> Shanghai, China*
>
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>
>
artamento de Ecologia - Universidade do Estado do Rio de Janeiro
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> and
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dn't
> happen.
>
> The question is: "How would I find the variance of each pair of inputs?"
>
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data set could be in any discipline, ideally already published.
If you have any suggestions, please respond directly to Ken at
Kheang Ken Lim
Thanks!
Cheers
Andrew
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Department of Mathematics and Stat
0.999375-16 grid_2.8.0 lattice_0.17-15
> lme4_0.99875-9
> [5] nlme_3.1-89
>>
>
>
>
>
>
>
> Steven McKinney
>
> Statistician
> Molecular Oncology and Breast Cancer Program
> British Columbia Cancer Research Centre
>
> email: smckinney +at+ bccrc +dot+ c
king the Bayesian eggs ;). Certain kinds of
multi-level models are mathematically identical to certain kinds of
Empirical Bayes models, but that does not make them Bayesian (despite
what some people say). I caution against your implied goal of
obtaining Bayesian statistics without performing a Bayesian
ontrast
> > ?model.tables
> >
>
> --
> Stas Kolenikov, also found at http://stas.kolenikov.name
> Small print: I use this email account for mailing lists only.
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> and provide commented, minimal, s
uared) slope. But this idea has been rejected by our PI as not be a
> valid thing to do.
>
> Ideas here?
I'm feeling very cautious about giving advice on this question as I
don't know enough about the area. Sorry.
I hope that this helps, otherwise.
Andrew
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liers. It provides a citation:
Computational Statistics, 1994, 9, 301-310.
I hope that helps.
Andrew
--
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University of Melbourne, VIC 3010 Australia Fax: +61-3-8344-4599
http://w
msrv/mark/research/equity/projects/testDL/stock_data/fhdb/US/BLC.NYSE"
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Andrew Robin
ur goal is to demonstrate that
the samples come from the same population then you probably should
take a look at equivalence testing.
Andrew
--
Andrew Robinson
Department of Mathematics and StatisticsTel: +61-3-8344-6410
University of Melbourne, VIC 3010 Austr
On Mon, Aug 04, 2008 at 02:51:48PM +0200, Peter Dalgaard wrote:
> Andrew Robinson wrote:
> >On Mon, Aug 04, 2008 at 10:17:38AM +0200, Peter Dalgaard wrote:
> >
> >>Andrew Robinson wrote:
> >>
> >
> >That is a neat idea, thanks, Peter, but
On Mon, Aug 04, 2008 at 10:17:38AM +0200, Peter Dalgaard wrote:
> Andrew Robinson wrote:
> >Dear R colleagues,
> >
> >a friend and I are trying to develop a modest workflow for the problem
> >of decomposing tests of higher-order terms into interpretable sets of
> &g
ample)
lme(Y ~ A + AC, random = ~ 1 | Block, data = example)
######
Are we doing anything obviously wrong? Is there another approach to
the goal that we are trying to achieve?
Many thanks,
Andrew
--
Andrew Robinson
t; PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
--
Andrew Robinson
Department of Mathematics and StatisticsTel: +61-3-8344-6410
University of Melbourne, VIC 3010 Australia
sposition: attachment; filename="Result_SPSS.doc"
>
>
>
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> PLEASE do read the posting guide http://www.R-project.org/posting-gu
ist
> >https://stat.ethz.ch/mailman/listinfo/r-help
> >PLEASE do read the posting guide
> >http://www.R-project.org/posting-guide.html
> >and provide commented, minimal, self-contained, reproducible code.
> >
>
> __
>
ng guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
--
Andrew Robinson
Department of Mathematics and StatisticsTel: +61-3-8344-6410
University of Melbourne, VIC 3010 Australia Fax: +61-3-8344-4599
ture of the dataset. As I recall, subset selection was
preferred for finding a small number of large effects, lasso (L1) for
finding a small to moderate number of moderate-sized effects, and
ridge (L2) for many small effects.
Can you provide any references to more up-to-date simulations that you
ist
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
Andrew Robinson
Senior Lecturer in Statistics Tel: +61-3-8
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