Implementation of Plots from Cleveland's Visualizing Data Book
Quantile-Quantile plots
The equal count algorithm
Conditional plots
Plots for power transformations
Residual-Fit plot
Spread-Location plot
Tukey's Mean-Difference plot for one-way data
The gg_tmd_paired function
Creation of tibbles por coplots
The trasf_pot function
William S. Cleveland's book 'Visualizing Data' is a classic piece of literature on Exploratory Data Analysis. Although it was written several decades ago, its content is still relevant as it proposes several tools which are useful to discover patterns and relationships among the data under study, and also to assess the goodness of fit o a model. This package provides functions to produce the 'ggplot2' versions of the visualization tools described in this book and is thought to be used in the context of courses on Exploratory Data Analysis.