What is MarkdownReports? MarkdownReports is a set of R functions that allows you to generate precise figures easily, and create clean reports about what you just discovered with your analysis script. It helps you to: Create scientifically accurate figures and save them automatically as vector graphic (.pdf), that you can use from presentation to posters anywhere. Note down your findings easily in a clear and nicely formatted way, parsed from your variables into english sentences. Link & display your figures automatically inside your report, right there where they are needed. Version your findings, annotating which parameters were used to reach certain results. Share your report with others via email, Github or a personal website. Why ...
Nolan and Temple Lang argue that "the ability to express statistical computations is an essential sk...
ABSTRACT Introduction/Background R, an open source analytical software has gained wide popularity...
This is R code that generates the .pdf document provided at: http://doi.org/10.5281/zenodo.7625710
What is MarkdownReports? MarkdownReports is a set of R functions that allows you to generate precis...
Version 4.1.0 is a major consistency update See legacy/old version at: https://github.com/vertesy/M...
Major update of MarkdownReports Major (mostly) backward compatible changes, fixes and updates See A...
Various bug fixes and compatibility with other @vertesy packages.If you use this software, please ci...
R Markdown files are examples of literate programming documents that combine R code with results an...
RMarkdown enables analysts to engage with code interactively, embrace literate programming, and rapi...
A report is a form of official document that is often made by civil servants. Writing reports manual...
This presentation will discuss how R users can disseminate and share their work through R Markdown d...
The article offers information related to Markdown, a flexible markup language that allows text to b...
Nolan and Temple Lang argue that “the ability to express statistical computations is an es- sential ...
R Markdown script for analyses and raw data presented in the Manuscript Moury et al. 2021, doi: http...
Reproducible document standards, like R Markdown, facilitate the programmatic creation of documents ...
Nolan and Temple Lang argue that "the ability to express statistical computations is an essential sk...
ABSTRACT Introduction/Background R, an open source analytical software has gained wide popularity...
This is R code that generates the .pdf document provided at: http://doi.org/10.5281/zenodo.7625710
What is MarkdownReports? MarkdownReports is a set of R functions that allows you to generate precis...
Version 4.1.0 is a major consistency update See legacy/old version at: https://github.com/vertesy/M...
Major update of MarkdownReports Major (mostly) backward compatible changes, fixes and updates See A...
Various bug fixes and compatibility with other @vertesy packages.If you use this software, please ci...
R Markdown files are examples of literate programming documents that combine R code with results an...
RMarkdown enables analysts to engage with code interactively, embrace literate programming, and rapi...
A report is a form of official document that is often made by civil servants. Writing reports manual...
This presentation will discuss how R users can disseminate and share their work through R Markdown d...
The article offers information related to Markdown, a flexible markup language that allows text to b...
Nolan and Temple Lang argue that “the ability to express statistical computations is an es- sential ...
R Markdown script for analyses and raw data presented in the Manuscript Moury et al. 2021, doi: http...
Reproducible document standards, like R Markdown, facilitate the programmatic creation of documents ...
Nolan and Temple Lang argue that "the ability to express statistical computations is an essential sk...
ABSTRACT Introduction/Background R, an open source analytical software has gained wide popularity...
This is R code that generates the .pdf document provided at: http://doi.org/10.5281/zenodo.7625710