Furniture for Quantitative Scientists

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.

Tyson S. Barrett , Emily Brignone

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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

Barrett & Brignone, "The R Journal: Furniture for Quantitative Scientists", The R Journal, 2017

BibTeX citation

  author = {Barrett, Tyson S. and Brignone, Emily},
  title = {The R Journal: Furniture for Quantitative Scientists},
  journal = {The R Journal},
  year = {2017},
  note = {},
  doi = {10.32614/RJ-2017-037},
  volume = {9},
  issue = {2},
  issn = {2073-4859},
  pages = {142-148}