The mosaic package provides a simplified and systematic introduction to the core functional ity related to descriptive statistics, visualization, modeling, and simulation-based inference required in first and second courses in statistics. This introduction to the package describes some of the guiding principles behind the design of the package and provides illustrative examples of several of the most important functions it implements. These can be combined to help students “think with data” using R in their early course work, starting with simple, yet powerful, declarative commands.
mosaic, lattice, mosaic, mosaicData, ggplot2, ggplot2, dplyr, parallel, MASS
Graphics, Multivariate, Phylogenetics, Distributions, Econometrics, Environmetrics, NumericalMathematics, Psychometrics, Robust, SocialSciences
Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".
For attribution, please cite this work as
Pruim, et al., "The mosaic Package: Helping Students to Think with Data Using R", The R Journal, 2017
BibTeX citation
@article{RJ-2017-024,
author = {Pruim, Randall and Kaplan, Daniel T and Horton, Nicholas J},
title = {The mosaic Package: Helping Students to Think with Data Using R},
journal = {The R Journal},
year = {2017},
note = {https://doi.org/10.32614/RJ-2017-024},
doi = {10.32614/RJ-2017-024},
volume = {9},
issue = {1},
issn = {2073-4859},
pages = {77-102}
}