<p><div><div><div><div data-show-faces="false" data-height="21" data-width="100" data-layout="button_count" data-send="true" data-href="https://www.r-bloggers.com/update-on-our-revisit-package/"></div></div><div></div></div><div></div></div>
<div>
(This article was first published on <strong><a href="https://matloff.wordpress.com/2017/08/16/update-on-our-revisit-package/"> Mad (Data) Scientist</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>On May 31, I made a post here about <a rel="nofollow" href="https://github.com/matloff/revisit" target="_blank">our R package <strong>revisit</strong></a>, which is designed to help remedy the reproducibility crisis in science. The intended user audience includes</p>
<ul>
<li>reviewers of research manuscripts submitted for publication,</li>
<li>scientists who wish to confirm the results in a published paper, and explore alternate analyses, and</li>
<li>members of the original research team itself, while collaborating during the course of the research.</li>
</ul>
<p>The package is documented mainly in the <strong>README</strong> file, but we now also have <a rel="nofollow" href="https://arxiv.org/abs/1708.04789" target="_blank">a paper</a> on <a rel="nofollow" href="http://arxiv.org/" target="_blank">arXiv.org</a>, which explains the reproducibility crisis in detail, and how our package addresses it. Reed Davis and I, the authors of the software, are joined in the paper by Prof. Laurel Beckett of the UC Davis Medical School, and Dr. Paul Thompson of Sanford Research.</p>
<p> <a rel="nofollow" href="http://feeds.wordpress.com/1.0/gocomments/matloff.wordpress.com/1970/" target="_blank"><img border="0" alt="" src="http://feeds.wordpress.com/1.0/comments/matloff.wordpress.com/1970/"></a> <img border="0" alt="" src="https://i1.wp.com/pixel.wp.com/b.gif?resize=1%2C1&ssl=1" data-recalc-dims="1"></p>
	<p>
<div>
<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="https://matloff.wordpress.com/2017/08/16/update-on-our-revisit-package/"> Mad (Data) Scientist</a></strong>.</div>
<hr>
<a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers.com</a> offers <strong><a rel="nofollow" href="https://feedburner.google.com/fb/a/mailverify?uri=RBloggers">daily e-mail updates</a></strong> about <a rel="nofollow" href="https://www.r-project.org/" title="The R Project for Statistical Computing">R</a> news and <a rel="nofollow" href="https://www.r-bloggers.com/search/tutorial" title="R tutorials">tutorials</a> on topics such as: <a rel="nofollow" href="https://www.r-bloggers.com/search/data%20science" title="Data science">Data science</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/Big%20Data" title="Big Data">Big Data, <a rel="nofollow" href="https://www.r-users.com/" title="R jobs">R jobs</a>, visualization (<a rel="nofollow" href="https://www.r-bloggers.com/search/ggplot2" title="ggplot and ggplot2 tutorials">ggplot2</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/boxplot" title="Boxplots using lattice and ggplot2 tutorials">Boxplots</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/map" title="Maps and gis">maps</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/animation" title="Animation in R">animation</a>), programming (<a rel="nofollow" href="https://www.r-bloggers.com/search/RStudio" title="RStudio IDE for R">RStudio</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/sweave" title="Sweave and literate programming">Sweave</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/LaTeX" title="LaTeX in R">LaTeX</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/SQL" title="SQL and databases">SQL</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/eclipse" title="Eclipse IDE for R">Eclipse</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/git" title="git and github, Version Control System">git</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/hadoop" title="Large data in R using Hadoop">hadoop</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/Web+Scraping" title="Web Scraping of google, facebook, yahoo, twitter and more using R">Web Scraping</a>) statistics (<a rel="nofollow" href="https://www.r-bloggers.com/search/regression" title="Regressions and ANOVA analysis tutorials">regression</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/PCA" title="principal component analysis tutorial">PCA</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/time+series" title="Time series">time series</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/trading" title="finance trading">trading</a>) and more...
<img width="1" alt="" src="http://feeds.feedburner.com/~r/RBloggers/~4/cIUTSx5VaSs" height="1"></a></div>