longley

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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<iframe src="https://embed.picostat.com/longley.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-88418.csv 792 bytes
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Documentation

Longley's Economic Regression Data

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)
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