[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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