Examining distributions of variables is the first step in the analysis of a clinical trial before more specific modelling can begin. Reporting these results to stakeholders of the trial is an essential part of a statistician’s work. The atable package facilitates these steps by offering easy-to-use but still flexible functions.
Supplementary materials are available in addition to this article. It can be downloaded at RJ-2019-001.zip
multgee, Hmisc, knitr, xtable, flextable, settings, survival, furniture, tableone, stargazer, DescTools, margrittr, dplyr
ReproducibleResearch, SocialSciences, ClinicalTrials, Econometrics, MissingData, Bayesian, ModelDeployment, Multivariate, OfficialStatistics, Survival
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
Ströbel, "The R Journal: atable: Create Tables for Clinical Trial Reports", The R Journal, 2019
BibTeX citation
@article{RJ-2019-001,
author = {Ströbel, Armin},
title = {The R Journal: atable: Create Tables for Clinical Trial Reports},
journal = {The R Journal},
year = {2019},
note = {https://doi.org/10.32614/RJ-2019-001},
doi = {10.32614/RJ-2019-001},
volume = {11},
issue = {1},
issn = {2073-4859},
pages = {137-148}
}