R Dataset / Package Ecdat / Metal

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

Stem and Leaf Plots

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Visual Summaries

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Embed
<iframe src="https://embed.picostat.com/r-dataset-package-ecdat-metal.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-30654.csv 617 bytes
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 Metal data set which pertains to Production for SIC 33 . The Metal data set is found in the Ecdat R package. You can load the Metal data set in R by issuing the following command at the console data("Metal"). This will load the data into a variable called Metal. If R says the Metal 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 Metal R data set. The size of this file is about 617 bytes.

Documentation

Production for SIC 33

Description

a cross-section

number of observations : 27

observation : regional

country : United States

Usage

data(Metal)

Format

A dataframe containing :

va

output

labor

labor input

capital

capital input

Source

Aigner, D., K. Lovell and P. Schmidt (1977) “Formulation and estimation of stochastic frontier production models”, Journal of Econometrics, 6, 21-37.

Hildebrand, G. and T. Liu (1957) Manufacturing production functions in the United States, Ithaca, N.Y.: Cornell University Press.

References

Greene, W.H. (2003) Econometric Analysis, Prentice Hall, http://www.prenhall.com/greene/greene1.html, Table F6.1.

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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