data.anscombe: Anscombe's Quartet
In desk: Didactic Econometrics Starter Kit
data.anscombe R Documentation
Anscombe's Quartet
Description
This data set comprises four individual x-y-data sets which have the same statistical properties (mean, variance, correlation, regression line, etc.), yet are quite different.
Usage
data.anscombe
Format
A data frame of 4 data sets, each with 11 observations of the two variables x and y.
x1 to x4 x-variables of the four data sets.
y1 to y4 y-variables of the four data sets.
Details
In Auer et al. (2023, Chap. 3) these data are used to illustrate the simple regression model and the importance to visually evaluate datasets before a numerical analysis is performed.
Source
This dataset was manually generated from: Anscombe, F.J. (1973): Graphs in Statistical Analysis. American Statistician, 27(1), 17-21. Also available in the R package datasets.
References
Tufte, E.R. (1989): The Visual Display of Quantitative Information, 13-14. Graphics Press.
Auer, L.v., Hoffmann, S. & Kranz, T. (2023): Ökonometrie - Das R-Arbeitsbuch, 2nd ed., Springer-Gabler (https://www.oekonometrie-lernen.de).
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| data.anscombe | R Documentation |
Anscombe's Quartet
Description
This data set comprises four individual x-y-data sets which have the same statistical properties (mean, variance, correlation, regression line, etc.), yet are quite different.
Usage
data.anscombe
Format
A data frame of 4 data sets, each with 11 observations of the two variables x and y.
x1 to x4 | x-variables of the four data sets. |
y1 to y4 | y-variables of the four data sets. |
Details
In Auer et al. (2023, Chap. 3) these data are used to illustrate the simple regression model and the importance to visually evaluate datasets before a numerical analysis is performed.
Source
This dataset was manually generated from: Anscombe, F.J. (1973): Graphs in Statistical Analysis. American Statistician, 27(1), 17-21. Also available in the R package datasets.
References
Tufte, E.R. (1989): The Visual Display of Quantitative Information, 13-14. Graphics Press.
Auer, L.v., Hoffmann, S. & Kranz, T. (2023): Ökonometrie - Das R-Arbeitsbuch, 2nd ed., Springer-Gabler (https://www.oekonometrie-lernen.de).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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