freeny

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/freeny.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-41301.csv 1.58 KB
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Documentation

Freeny's Revenue Data

Freeny's data on quarterly revenue and explanatory variables.

Usage

freeny
freeny.x
freeny.y

Format

There are three ‘freeny’ data sets.

freeny.y is a time series with 39 observations on quarterly revenue from (1962,2Q) to (1971,4Q).

freeny.x is a matrix of explanatory variables. The columns are freeny.y lagged 1 quarter, price index, income level, and market potential.

Finally, freeny is a data frame with variables y, lag.quarterly.revenue, price.index, income.level, and market.potential obtained from the above two data objects.

Source

A. E. Freeny (1977) A Portable Linear Regression Package with Test Programs. Bell Laboratories memorandum.

References

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

Examples

require(stats); require(graphics)
summary(freeny)
pairs(freeny, main = "freeny data")
# gives warning: freeny$y has class "ts"

summary(fm1 <- lm(y ~ ., data = freeny))
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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