[R-sig-eco] gam result
ONKELINX, Thierry
Thierry.ONKELINX at inbo.be
Tue May 22 12:40:50 CEST 2012
Given the failry complex model you want to fit on a relative small dataset, you should better seek some local (face-to-face) advise on your problem.
Best regards,
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest
team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
Kliniekstraat 25
1070 Anderlecht
Belgium
+ 32 2 525 02 51
+ 32 54 43 61 85
Thierry.Onkelinx at inbo.be
www.inbo.be
To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of.
~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data.
~ Roger Brinner
The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data.
~ John Tukey
-----Oorspronkelijk bericht-----
Van: r-sig-ecology-bounces at r-project.org [mailto:r-sig-ecology-bounces at r-project.org] Namens Mahnaz Rabbaniha
Verzonden: maandag 21 mei 2012 18:33
Aan: r-sig-ecology
Onderwerp: [R-sig-eco] gam result
Dear all
for finding the relation between this variable i use gam ( in base of
non-normality)
[1] "temperature" "salinity" "depth" "Clupeidae"
model<-gam(Clupeidae~s(temperature)+s(salinity)+s(depth))
the result:
Parametric coefficients:
Estimate Std. Error t value
Pr(>|t|)
(Intercept) 0.40156 0.05467 7.345
2.12e-10 ***
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Approximate significance of smooth terms:
Edf Ref.df F p-value
s(temperature) 4.321 5.326 1.470 0.207
s(salinity) 2.893 3.569 1.540 0.204
s(depth) 1.000 1.000 0.015 0.903
R-sq.(adj) = 0.1 Deviance explained = 18.9%
GCV score = 0.28203 Scale est. = 0.25109 n = 84
this is my question;in base of R-sq. or others parameters,is this
model robust ifor analyses?
also in others section this parameter is less than0.1
thanks all
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