R Dataset / Package datasets / 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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Numerical Summaries

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Pie Chart

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Plot

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Regression

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Visual Summaries

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<iframe src="https://embed.picostat.com/r-dataset-package-datasets-freeny.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-33527.csv 1.58 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 freeny data set which pertains to Freeny's Revenue Data. The freeny data set is found in the datasets R package. You can load the freeny data set in R by issuing the following command at the console data("freeny"). This will load the data into a variable called freeny. If R says the freeny 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 freeny R data set. The size of this file is about 1,614 bytes.

Documentation

Freeny's Revenue Data

Description

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)
--

Dataset imported from https://www.r-project.org.

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