simpsons_paradox_wide: Simpsons Paradox (wide) data

Description Usage Format References Examples

Description

A dataset demonstrating Simpson's Paradox with a strongly positively correlated dataset (simpson_1) and a dataset with the same positive correlation as simpson_1, but where individual groups have a strong negative correlation (simpson_2).

Usage

1

Format

A data frame with 222 rows and 4 variables:

References

Matejka, J., & Fitzmaurice, G. (2017). Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing. CHI 2017 Conference proceedings: ACM SIGCHI Conference on Human Factors in Computing Systems. Retrieved from https://www.autodeskresearch.com/publications/samestats.

Examples

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#save current settings
state <- par("mar", "mfrow")

par(mfrow = c(1, 2))

plot(simpsons_paradox_wide[["simpson_1_x"]],
     simpsons_paradox_wide[["simpson_1_y"]],
     xlab = "x", ylab = "y", main = "Simpson's Paradox 1")

plot(simpsons_paradox_wide[["simpson_2_x"]],
     simpsons_paradox_wide[["simpson_2_y"]],
     xlab = "x", ylab = "y", main = "Simpson's Paradox 2")

#reset settings
par(state)

stephlocke/datasauRus documentation built on Oct. 27, 2018, 11:09 p.m.