simpsons_paradox_wide | R Documentation |
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
).
simpsons_paradox_wide
A data frame with 222 rows and 4 variables:
simpson_1_x: x-values from the simpson_1
dataset
simpson_1_y: y-values from the simpson_1
dataset
simpson_2_x: x-values from the simpson_2
dataset
simpson_2_y: y-values from the simpson_2
dataset
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.autodesk.com/research/publications/same-stats-different-graphs.#nolint
#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)
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