The R Journal: accepted article

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

Furniture for Quantitative Scientists PDF download
Tyson S. Barrett and Emily Brignone

Abstract A basic understanding of the distributions of study variables and the relationships among them is essential to inform statistical modeling. This understanding is achieved through the com putation of summary statistics and exploratory data analysis. Unfortunately, this step tends to be under-emphasized in the research process, in part because of the often tedious nature of thorough exploratory data analysis. The table1() function in the furniture package streamlines much of the exploratory data analysis process, making the computation and communication of summary statistics simple and beautiful while offering significant time-savings to the researcher.

Received: 2016-12-23; online 2017-07-24
CRAN packages: furniture, tableone, stargazer, psych, tidyverse, foreign , CRAN Task Views implied by cited CRAN packages: OfficialStatistics, Psychometrics, ReproducibleResearch


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

@article{RJ-2017-037,
  author = {Tyson S. Barrett and Emily Brignone},
  title = {{Furniture for Quantitative Scientists}},
  year = {2017},
  journal = {{The R Journal}},
  url = {https://journal.r-project.org/archive/2017/RJ-2017-037/index.html}
}