Title: Implementation of Plots from Cleveland's Visualizing Data Book
Description: 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
Imports: dplyr, tidyr, ggplot2, rlang, magrittr, graphics, readr, egg,
Author: Marcos Prunello [aut, cre] (<https://orcid.org/0000-0002-9611-527X>),

Title: Combination of GGplot2 plots into a matrix based on data
Author: Fernando Fuentes <fuentes.f4@gmail.com>, George Ostrouchov
Description: The ggcolpairs package allows the creation of a plot
matrix based on column parameters from a dataset.

Title: Simpler Appearance Modification of 'ggplot2'
Authors@R: c(person('Yasutaka', 'Tanaka', , 'tnk.yasutaka@gmail.com', c('aut', 'cre')))
Description: A flexible interface for ggplot2::theme(), potentially saving 50% of your typing.
Suggests: knitr, testthat, futile.logger (>= 1.4.3), dplyr, tibble
Collate: 'ggconf.R' 'prefix_match.R' 'approx_match.R' 'compiler.R'

Suggests: tidyverse, knitr, testthat, futile.logger (>= 1.4.3), hexbin,

Title: Visualization of a Correlation Matrix using 'ggplot2'
Description: The 'ggcorrplot' package can be used to visualize easily a
correlation matrix using 'ggplot2'. It provides a solution for reordering the
correlation matrix and displays the significance level on the plot. It also
includes a function for computing a matrix of correlation p-values.
Packaged: 2016-01-12 21:50:00 UTC; alboukadel

Packaged: 2018-09-11 19:44:29 UTC; kassambara

Packaged: 2019-05-19 09:44:53 UTC; kassambara

correlation matrix using 'ggplot2'. It provides a solution for
reordering the correlation matrix and displays the significance level
on the plot. It also includes a function for computing a matrix of
Suggests: testthat (>= 3.0.0), knitr, spelling, vdiffr (>= 1.0.0)
Packaged: 2022-09-27 01:40:18 UTC; kassambara