The R Journal: accepted article

This article will be copy edited and may be changed before publication.

The mosaic package: helping students to `think with data' using R
Randall Pruim, Daniel T Kaplan and Nicholas J Horton

Abstract 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.

Received: 2015-11-19; online 2017-05-10
CRAN packages: mosaic, lattice, mosaic, mosaic, mosaicData, ggplot2, dplyr, parallel, MASS , CRAN Task Views implied by cited CRAN packages: Graphics, Multivariate, Distributions, Econometrics, Environmetrics, NumericalMathematics, Phylogenetics, Psychometrics, Robust, SocialSciences


CC BY 4.0
This article is licensed under a Creative Commons Attribution 4.0 International license.

@article{RJ-2017-024,
  author = {Randall Pruim and Daniel T Kaplan and Nicholas J Horton},
  title = {{The mosaic package: helping students to `think with data'
          using R}},
  year = {2017},
  journal = {{The R Journal}},
  url = {https://journal.r-project.org/archive/2017/RJ-2017-024/index.html}
}