fishing {COUNT}

fishing

Description

The fishing data is adapted from Zuur, Hilbe and Ieno (2013) to determine whether the data appears to be generated from more than one generating mechanism. The data are originally adapted from Bailey et al. (2008) who were interested in how certain deep-sea fish populations were impacted when commercial fishing began in locations with deeper water than in previous years. Given that there are 147 sites that were researched, the model is of (1) the total number of fish counted per site (totabund); ( 2) on the mean water depth per site (meandepth); (3) adjusted by the area of the site (sweptarea); (4) the log of which is the model offset.

Usage

data(fishing)

Format

A data frame with 147 observations on the following variables.

totabund

total fish counted per site

meandepth

mean water depth per site

sweptarea

adjusted area of site

density

folage density index

site

catch site

year

1977-2002

period

0=1977-1989; 1=2000+

Details

fishing is saved as a data frame. Count models use totabund as response variable. Counts start at 2

Source

Zuur, Hilbe, Ieno (2013), A Beginner's Guide to GLM and GLMM using R,

References

Hilbe, Joseph M (2014), Modeling Count Data, Cambridge University Press Zuur, Hilbe, Ieno (2013), A Beginner's Guide to GLM and GLMM using R, Highlands. Bailey M. et al (2008), "Longterm changes in deep-water fish populations in the North East Atlantic", Proc Roy Soc B 275:1965-1969.

Examples

## Not run: 
library(MASS)
library(flexmix)
data(fishing)
attach(fishing)
fmm_pg <- flexmix(totabund~meandepth + offset(log(sweptarea)), data=rwm1984, k=2,
         model=list(FLXMRglm(totabund~., family="NB1"), 
                    FLXMRglm(tpdocvis~., family="NB1")))
parameters(fmm_pg, component=1, model=1)
parameters(fmm_pg, component=2, model=1)
summary(fmm_pg)

## End(Not run)