{"title":"Using RMarkdown to Present Your Findings","authors":"Charles Auerbach","doi":"10.1093/oso/9780197582756.003.0009","DOIUrl":null,"url":null,"abstract":"This chapter covers how to utilize RMarkdown to present SSD for R findings in a well-ordered and reproducible manner. RMarkdown is a plain text formatting syntax that makes writing research reports simple. The language provides a simple syntax that formats text such as headers, lists, boldface, and so on. This language is popular, and you will find many apps that are compatible with it. For example, combined with other packages, like SSD for R, users can easily create tables and graphics to present their research findings. Another important feature of this markdown language is that it will make your findings reproducible in that all of your files are connected. Thus, if there are changes to your data, rerunning the analysis is simple.","PeriodicalId":197276,"journal":{"name":"SSD for R","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SSD for R","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/oso/9780197582756.003.0009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This chapter covers how to utilize RMarkdown to present SSD for R findings in a well-ordered and reproducible manner. RMarkdown is a plain text formatting syntax that makes writing research reports simple. The language provides a simple syntax that formats text such as headers, lists, boldface, and so on. This language is popular, and you will find many apps that are compatible with it. For example, combined with other packages, like SSD for R, users can easily create tables and graphics to present their research findings. Another important feature of this markdown language is that it will make your findings reproducible in that all of your files are connected. Thus, if there are changes to your data, rerunning the analysis is simple.