# R Dataset / Package COUNT / nuts

Documentation

On this R-data statistics page, you will find information about the nuts data set which pertains to nuts. The nuts data set is found in the COUNT R package. You can load the nuts data set in R by issuing the following command at the console data("nuts"). This will load the data into a variable called nuts. If R says the nuts 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 nuts R data set. The size of this file is about 5,713 bytes.

## nuts

### Description

Squirrel data set (nuts) from Zuur, Hilbe, and Ieno (2013). As originally reported by Flaherty et al (2012), researchers recorded information about squirrel behavior and forest attributes across various plots in Scotland's Abernathy Forest. The study focused on the following variables. response cones number of cones stripped by red squirrels per plot predictor sntrees standardized number of trees per plot sheight standardized mean tree height per plot scover standardized percentage of canopy cover per plot The stripped cone count was only taken when the mean diameter of trees was under 0.6m (dbh).

### Usage

data(nuts)

### Format

A data frame with 52 observations on the following 8 variables.

cones

number cones stripped by squirrels

ntrees

number of trees per plot

dbh

number DBH per plot

height

mean tree height per plot

cover

canopy closure (as a percentage)

sntrees

standardized number of trees per plot

sheight

standardized mean tree height per plot

scover

standardized canopy closure (as a percentage)

### Details

nuts is saved as a data frame. Count models use ntrees as response variable. Counts start at 3

### Source

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

### 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. Flaherty, S et al (2012), "The impact of forest stand structure on red squirrels habitat use", Forestry 85:437-444.

### Examples

data(nuts)
nut <- subset(nuts, dbh < 0.6)
# sntrees <- scale(nuts$ntrees) # sheigtht <- scale(nuts$height)
# scover <- scale(nuts\$cover)
summary(PO <- glm(cones ~ sntrees + sheight + scover, family=quasipoisson, data=nut))

--

Dataset imported from https://www.r-project.org.

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Attachment Size
dataset-93028.csv 5.58 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0