[R-sig-eco] R-sig-ecology Digest, Vol 104, Issue 10: Test for circular data
Thiago A. Pires
pires.thiagoaugusto at gmail.com
Mon Nov 21 22:22:33 CET 2016
Hi Philip,
Thanks for your response, it was very enlightening. I studied a little
about periodic regression and tried to do the test in R. At first I have no
fixed or random effects to add, since these data are simple, just an index
over time, measured every half hour, for a day. I am posting part of the
script to know if it is correct and if the result makes sense. As I
understand it, only one time-related variable are significant. I am trying
to read about possible interpretations of this result without much success.
>
tad.lm<-glm(tad$index~(cos(2*pi*(tad$hora/24)))+(sin(2*pi*(tad$hora/24))),
family=quasipoisson)
> summary(tad.lm)
Call:
glm(formula = tad$index ~ (cos(2 * pi * (tad$hora/24))) + (sin(2 *
pi * (tad$hora/24))), family = quasipoisson)
Deviance Residuals:
Min 1Q Median 3Q Max
-2.1060 -0.7502 -0.3460 0.3112 2.3771
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.3172 0.1503 2.111 0.0404 *
cos(2 * pi * (tad$hora/24)) -1.1927 0.1979 -6.027 2.85e-07 ***
sin(2 * pi * (tad$hora/24)) -0.1641 0.1697 -0.967 0.3386
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
(Dispersion parameter for quasipoisson family taken to be 1.121044)
Null deviance: 97.400 on 47 degrees of freedom
Residual deviance: 44.898 on 45 degrees of freedom
AIC: NA
As for the part of your answer about the aggregation test, I do not think I
understood, do you have some suggestion of literature for me to try to
understand? In that case, I have to test if some samples of the index are
significantly higher than others. I have already thought of non-parametric
tests, since this index does not have normal distribution, but I still have
not found any suitable for this case.
Thank you!!
Cheers,
Thiago
Thiago A. Leão Pires
Ph.D. student in Ecology - UNICAMP
Collaborator Researcher - UNIFESP
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