R Dataset / Package datasets / longley

How To Create a Barplot

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Category
Visual
Instructional

How To Create a Stacked Barplot

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Visual
Instructional

How To Create a Pie Chart

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Visual

How To Compute the Mean

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Category
Numerical
Instructional

How To Create a Plot

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Visual
Instructional

How to Compute the Median

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Numerical

Boxplot

Submitted by pmagunia on April 22, 2018 - 3:07 PM
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Correlation Coefficient

Submitted by pmagunia on April 22, 2018 - 3:08 PM
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Cumulative Frequency Histogram

Submitted by pmagunia on April 22, 2018 - 3:09 PM
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Dotplot

Submitted by pmagunia on April 22, 2018 - 3:10 PM
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Hollow Histogram

Submitted by pmagunia on April 22, 2018 - 3:10 PM
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Numerical Summaries

Submitted by pmagunia on April 22, 2018 - 2:51 PM
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Pie Chart

Submitted by pmagunia on April 22, 2018 - 3:11 PM
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Plot

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Regression

Submitted by pmagunia on April 22, 2018 - 3:12 PM

Stem and Leaf Plots

Submitted by pmagunia on April 22, 2018 - 3:12 PM
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Visual Summaries

Submitted by pmagunia on April 22, 2018 - 3:13 PM
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Submitted by pmagunia on March 9, 2018 - 1:06 PM
<iframe src="https://embed.picostat.com/r-dataset-package-datasets-longley.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-70074.csv 792 bytes
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Documentation

On this Picostat.com statistics page, you will find information about the longley data set which pertains to Longley's Economic Regression Data. The longley data set is found in the datasets R package. You can load the longley data set in R by issuing the following command at the console data("longley"). This will load the data into a variable called longley. If R says the longley data set is not found, you can try installing the package by issuing this command install.packages("datasets") 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 longley R data set. The size of this file is about 792 bytes.


Longley's Economic Regression Data

Description

A macroeconomic data set which provides a well-known example for a highly collinear regression.

Usage

longley

Format

A data frame with 7 economical variables, observed yearly from 1947 to 1962 (n=16).

GNP.deflator

GNP implicit price deflator (1954=100)

GNP

Gross National Product.

Unemployed

number of unemployed.

Armed.Forces

number of people in the armed forces.

Population

‘noninstitutionalized’ population ≥ 14 years of age.

Year

the year (time).

Employed

number of people employed.

The regression lm(Employed ~ .) is known to be highly collinear.

Source

J. W. Longley (1967) An appraisal of least-squares programs from the point of view of the user. Journal of the American Statistical Association 62, 819–841.

References

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.

Examples

require(stats); require(graphics)
## give the data set in the form it is used in S-PLUS:
longley.x <- data.matrix(longley[, 1:6])
longley.y <- longley[, "Employed"]
pairs(longley, main = "longley data")
summary(fm1 <- lm(Employed ~ ., data = longley))
opar <- par(mfrow = c(2, 2), oma = c(0, 0, 1.1, 0),
            mar = c(4.1, 4.1, 2.1, 1.1))
plot(fm1)
par(opar)

--

Dataset imported from https://www.r-project.org.
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R Output Date
Picostat Output - Boxplot Feb 2, 2020
Picostat Output - Boxplot Feb 2, 2020
Picostat Output - Boxplot Feb 2, 2020
Picostat Output - Boxplot Feb 2, 2020
Picostat Output - Boxplot Feb 2, 2020
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