R Dataset / Package Ecdat / Somerville

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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Stem and Leaf Plots

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Visual Summaries

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Submitted by admin on March 9, 2018 - 1:06 PM
<iframe src="https://embed.picostat.com/r-dataset-package-ecdat-somerville.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-37584.csv 22.74 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 Somerville data set which pertains to Visits to Lake Somerville . The Somerville data set is found in the Ecdat R package. You can load the Somerville data set in R by issuing the following command at the console data("Somerville"). This will load the data into a variable called Somerville. If R says the Somerville 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 Somerville R data set. The size of this file is about 23,290 bytes.
Documentation

Visits to Lake Somerville

Description

a cross-section from 1980

number of observations : 659

observation : individuals

country : United States

Usage

data(Somerville)

Format

A dataframe containing :

visits

annual number of visits to lake Somerville

quality

quality ranking score for lake Somerville

ski

engaged in water–skiing at the lake ?

income

annual household income

feeSom

annual user fee paid at lake Somerville ?

costCon

expenditures when visiting lake Conroe

costSom

expenditures when visiting lake Somerville

costHoust

expenditures when visiting lake Houston

Source

Seller, Christine, John R. Stoll and Jean–Paul Chavas (1985) “Valuation of empirical measures of welfare change : a comparison of nonmarket techniques”, Land Economics, 61(2), may, 156–175.

Gurmu, Shiferaw and Pravin K. Trivedi (1996) “ Excess zeros in count models for recreational trips”, Journal of Business and Economics Statistics, 14(4), october, 469–477.

Santos Silva, Jao M. C. (2001) “A score test for non–nested hypotheses with applications to discrete data models”, Journal of Applied Econometrics, 16(5), 577–597.

References

Journal of Business Economics and Statistics web site : http://amstat.tandfonline.com/loi/ubes20. Cameron, A.C. and Trivedi P.K. (1998) Regression analysis of count data, Cambridge University Press, http://cameron.econ.ucdavis.edu/racd/racddata.html, chapter 6.

See Also

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

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Dataset imported from https://www.r-project.org.
Curated Data File Size
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R Output Date
Picostat Output - Correlation Coefficients Jan 7, 2020
Picostat Output - Correlation Coefficients Jan 7, 2020
Picostat Output - Numerical Summaries Jan 7, 2020
Picostat Output - Bivariate Plot Jan 7, 2020
Picostat Output - Boxplot Jan 7, 2020
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