R Dataset / Package Ecdat / Fishing

How To Create a Barplot

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How To Create a Stacked Barplot

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How To Create a Pie Chart

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How To Compute the Mean

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How To Create a Plot

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How to Compute the Median

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Boxplot

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Correlation Coefficient

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Cumulative Frequency Histogram

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Dotplot

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Hollow Histogram

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Numerical Summaries

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Pie Chart

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Plot

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Regression

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Visual Summaries

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Embed
<iframe src="https://embed.picostat.com/r-dataset-package-ecdat-fishing.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-42865.csv 100.3 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 Fishing data set which pertains to Choice of Fishing Mode . The Fishing data set is found in the Ecdat 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("Ecdat") 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 102,710 bytes.

Documentation

Choice of Fishing Mode

Description

a cross-section

number of observations : 1182

observation : individuals

country : United States

Usage

data(Fishing)

Format

A dataframe containing :

mode

recreation mode choice, on of : beach, pier, boat and charter

price

price for chosen alternative

catch

catch rate for chosen alternative

pbeach

price for beach mode

ppier

price for pier mode

pboat

price for private boat mode

pcharter

price for charter boat mode

cbeach

catch rate for beach mode

cpier

catch rate for pier mode

cboat

catch rate for private boat mode

ccharter

catch rate for charter boat mode

income

monthly income

Source

Herriges, J. A. and C. L. Kling (1999) “Nonlinear Income Effects in Random Utility Models”, Review of Economics and Statistics, 81, 62-72.

References

Cameron, A.C. and P.K. Trivedi (2005) Microeconometrics : methods and applications, Cambridge, pp. 463–466, 486 and 491–495.

See Also

Index.Source, Index.Economics, Index.Econometrics, Index.Observations

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

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