surreal (version 0.0.1)

jackolantern_surreal_data: Jack-o'-Lantern Surreal Data

Description

Data set containing a hidden image of a Jack-o'-Lantern lurking in the residual plot of a full model being fit.

Usage

jackolantern_surreal_data

Format

A data frame with 5,395 observations and 7 variables.

• y: Response variable

• x1: Predictor variable 1

• x2: Predictor variable 2

• x3: Predictor variable 3

• x4: Predictor variable 4

• x5: Predictor variable 5

• x6: Predictor variable 6

References

Stefansk, L.A. (2013). Hidden Images in the Helen Barton Lecture Series. Retrieved from https://www4.stat.ncsu.edu/~stefansk/NSF_Supported/Hidden_Images/UNCG_Helen_Barton_Lecture_Nov_2013/pumpkin_1_data_yx1x6.txt

Examples

# Load the Jack-o'-Lantern data
data <- jackolantern_surreal_data

# Fit a linear model to the surreal Jack-o'-Lantern data
model <- lm(y ~ ., data = data)

# Plot the residuals to reveal the hidden image
plot(model$fitted, model$resid, type = "n", main = "Residual plot from transformed data")
points(model$fitted, model$resid, pch = 16)