R Dataset / Package Stat2Data / Gunnels

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<iframe src="https://embed.picostat.com/r-dataset-package-stat2data-gunnels.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-41661.csv 39.05 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Dataset Help

On this Picostat.com statistics page, you will find information about the Gunnels data set which pertains to Gunnels. The Gunnels data set is found in the Stat2Data R package. You can load the Gunnels data set in R by issuing the following command at the console data("Gunnels"). This will load the data into a variable called Gunnels. If R says the Gunnels data set is not found, you can try installing the package by issuing this command install.packages("Stat2Data") 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 Gunnels R data set. The size of this file is about 39,986 bytes.

Documentation

Gunnels

Description

Presence/absence of gunnels (eels) at shoreline quadrats

Format

A dataset with 1592 observations on the following 10 variables.

Gunnel 1= gunnel present in the quadrat or 0=gunnel absent
Time Minutes after midnight
Fromlow Time in minutes from low tide
Slope Slope (to nearest 10 degrees) perpendicular to waterline
Rw Percentage cover in quadrat of rockweed/algae/plants
Amphiso Density of crustacean food 0=none to 4=high
Subst Substratum: 1=solid rock, 2=rocky cobbles, 3=mixed pebbles/sand, 4=fine sand,
5=mud, 6=mixed mud/shell detritus, 7=cobbles on solid rock, 8=cobbles on mixed pebbles/sand,
9=cobbles on fine sand, 10=cobbles on mud, 11=cobbles on mixed mud/shell detritus,
12=cobbles on shell detritus, 13=shell detritus
Pool Standing water deep? 1=yes or 2=no
Water Standing water in the quadrat? 1=yes or 2=no
Cobble Rocky cobbles? 1=yes or 2=no

Details

This datset comes from a study on the habitat preferences of a species of eel, called a gunnel. Biologist Jake Shorty sampled quadrats along a coastline and recorded whether or not the species was found in the quadrat.

Source

Thanks to Jake Shorty, Bowdoin biology student, for this dataset.

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

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