Hello to all the community, I write this post because I would need a little help with the interpretation of my model's summary.
First, here is the model :
Where :
- Order is a discret variable with 3 modalities ["Carnivora","Human","Marsupial"]
- Nb_bone_discovery is a discrete quantitative variables. ex: ["0,1,2..."]
- Time is a continuous quantitative variables ex: ["0.33,0.5,0.8,1,2..."]
To be more precise I try with this model to show that the Order factor will have an effect on the number of bone_discoveries, while removing the effect of Time, since theoretically, the more time passes, the greater the number of bone discoveries is anyway.
SO here are the results:
Number of Fisher Scoring iterations: 5
With that summary is it correct to say the following things :
- Having an Human Order predisposes to more discovered bones (if you are Human you have 1.0946 more bones discovered than if you are Carnivora)
- Being Human almost eliminates the Time effect (`12.1964 -11.3398 =~0.85`: you gain 0.85 bones discoveries per unit of Time when you are Human)
- Being Marsupial does not decrease the Time effect as much (`12.1964-9.0848 =~3.11` : you gain 3.11 bones discoveries per unit of Time when you are Marsupial)
I'm correct, and did I miss some other interpretations from that summary ?
Can I say that overall, bones are more discovered in Human order compared to the others, and that number of bones discovered in Human are less affected by Time than others?
Thanks a lot for your help
First, here is the model :
Code:
glm(formula = Nb_bone_discovery ~ Order * Time, family = "quasipoisson") #I used quasipoisson since I got surdispersion.
- Order is a discret variable with 3 modalities ["Carnivora","Human","Marsupial"]
- Nb_bone_discovery is a discrete quantitative variables. ex: ["0,1,2..."]
- Time is a continuous quantitative variables ex: ["0.33,0.5,0.8,1,2..."]
To be more precise I try with this model to show that the Order factor will have an effect on the number of bone_discoveries, while removing the effect of Time, since theoretically, the more time passes, the greater the number of bone discoveries is anyway.
SO here are the results:
Code:
Deviance Residuals:
Min 1Q Median 3Q Max
-2.5270 -1.2207 -0.5733 0.6993 2.7131
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.5916 0.1794 -3.297 0.001148 **
Human 1.0946 0.2379 4.600 7.31e-06 ***
Marsupial 0.6850 0.3005 2.280 0.023632 *
Time 12.1964 3.2483 3.755 0.000225 ***
Human:Time -11.3398 3.6346 -3.120 0.002064 **
Marsupial:Time -9.0848 4.3548 -2.086 0.038179 *
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
(Dispersion parameter for quasipoisson family taken to be 1.446357)
Null deviance: 388.61 on 214 degrees of freedom
Residual deviance: 339.54 on 209 degrees of freedom
(32 observations deleted due to missingness)
AIC: NA
Number of Fisher Scoring iterations: 5
With that summary is it correct to say the following things :
- Having an Human Order predisposes to more discovered bones (if you are Human you have 1.0946 more bones discovered than if you are Carnivora)
- Being Human almost eliminates the Time effect (`12.1964 -11.3398 =~0.85`: you gain 0.85 bones discoveries per unit of Time when you are Human)
- Being Marsupial does not decrease the Time effect as much (`12.1964-9.0848 =~3.11` : you gain 3.11 bones discoveries per unit of Time when you are Marsupial)
I'm correct, and did I miss some other interpretations from that summary ?
Can I say that overall, bones are more discovered in Human order compared to the others, and that number of bones discovered in Human are less affected by Time than others?
Thanks a lot for your help