Reproducible manuscript preparation with RMarkdown application to JMSACL and other Elsevier Journals.

ABSTRACT:

Introduction

With the rising complexity of modern multimarker analytical techniques and notable scientific publication retractions required for erroneous statistical analysis, there is increasing awareness of the importance of research transparency and reproducibility. The development of mature open-source tools for literate programming in multiple langauge paradigms has made fully-reproducible authorship possible.

Objectives

We describe the procedure for manuscript preparation using RMarkdown and the R statistical programming language with application to JMSACL or any other Elsevier journal.

Methods

An instructional manuscript has been prepared in the RMarkdown markup language with stepwise directions on preparing sections, subsections, lists, tables, figures and ref

SUBMITTER: Holmes DT 

PROVIDER: S-EPMC8662334 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature