R Dataset / Package COUNT / fishing
| Attachment | Size |
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| dataset-27593.csv | 8.27 KB |
| Documentation |
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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. Try to load the fishing data set in R by issuing the following command at the console data("fishing"). This may 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 with library("COUNT") followed by data("fishing"). Perhaps strangley, if R gives you no output after entering a command, it means the command succeeded. If it succeeded you can see the data by typing fishing at the command-line which should display the entire dataset. 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. fishingDescriptionThe 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. Usagedata(fishing) FormatA data frame with 147 observations on the following variables.
Detailsfishing is saved as a data frame. Count models use totabund as response variable. Counts start at 2 SourceZuur, Hilbe, Ieno (2013), A Beginner's Guide to GLM and GLMM using R, ReferencesHilbe, 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)
-- Dataset imported from https://www.r-project.org. |
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