On this Picostat.com statistics page, you will find information about the fishing data set which pertains to fishing. The fishing data set is found in the COUNT R package. You can load the fishing data set in R by issuing the following command at the console data("fishing"). This will load the data into a variable called fishing. If R says the fishing data set is not found, you can try installing the package by issuing this command install.packages("COUNT") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the fishing R data set. The size of this file is about 8,472 bytes.
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
A data frame with 147 observations on the following variables.
total fish counted per site
mean water depth per site
adjusted area of site
folage density index
fishing is saved as a data frame.
Count models use totabund as response variable. Counts start at 2
Zuur, Hilbe, Ieno (2013), A Beginner's Guide to GLM and GLMM using R,
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.
## Not run:
fmm_pg <- flexmix(totabund~meandepth + offset(log(sweptarea)), data=rwm1984, k=2,
parameters(fmm_pg, component=1, model=1)
parameters(fmm_pg, component=2, model=1)
summary(fmm_pg)## End(Not run)
Dataset imported from https://www.r-project.org.