Though Rmarkdown is a powerful tool for integrating text with code for analyses in a single source document exportable to a variety of output formats, until now there has been no simple way to integrate the data behind analyses into Rmarkdown source documents. The knitrdata package makes it possible for arbitrary text and binary data to be integrated directly into Rmarkdown source documents via implementation of a new data chunk type. The package includes command-line and graphical tools that facilitate creating and inserting data chunks into Rmarkdown documents, and the treatment of data chunks is highly configurable via chunk options. These tools allow one to easily create fully standalone Rmarkdown source documents integrating data, anci...
This ZIP archive includes all the raw data and R code used to generate the figures for our paper. We...
<p>Archives containing the MethylCIBERSORT R package (0.2.1) and an archive of knit markdowns contai...
Contains the R script (Analysis.R) which computes everything in the article, and the data sets used....
This file contains original code for all the analyses of the paper. It can be run (after installing ...
RMarkdown enables analysts to engage with code interactively, embrace literate programming, and rapi...
RMarkdown is a versatile document format that can combine text, R code, figures, and tables together...
A dynamic document for running the analysis and generating the data and graphs shown in Figure 1. A...
<p>Intro to Reproducible Research with Rmarkdown: data management, analysis, and reporting all-in-on...
This folder contains an Rmarkdown-file (code + text) to create the manuscript "Collecting large pers...
An R package containing a collection of Rmarkdown templates. Includes templates for writing scientif...
An R package containing a collection of Rmarkdown templates. Includes templates for writing scientif...
Knitted PDF of the R Markdown file used to conduct data analysis and figure creation. New version fi...
R is a widely used, free, open source software package for data analysis and graphics. Along with co...
The source file for running the statistics and inserting the results into the manuscript text. The ...
A Rmarkdown file that contains instructions for creating the supplementary information PDF with all ...
This ZIP archive includes all the raw data and R code used to generate the figures for our paper. We...
<p>Archives containing the MethylCIBERSORT R package (0.2.1) and an archive of knit markdowns contai...
Contains the R script (Analysis.R) which computes everything in the article, and the data sets used....
This file contains original code for all the analyses of the paper. It can be run (after installing ...
RMarkdown enables analysts to engage with code interactively, embrace literate programming, and rapi...
RMarkdown is a versatile document format that can combine text, R code, figures, and tables together...
A dynamic document for running the analysis and generating the data and graphs shown in Figure 1. A...
<p>Intro to Reproducible Research with Rmarkdown: data management, analysis, and reporting all-in-on...
This folder contains an Rmarkdown-file (code + text) to create the manuscript "Collecting large pers...
An R package containing a collection of Rmarkdown templates. Includes templates for writing scientif...
An R package containing a collection of Rmarkdown templates. Includes templates for writing scientif...
Knitted PDF of the R Markdown file used to conduct data analysis and figure creation. New version fi...
R is a widely used, free, open source software package for data analysis and graphics. Along with co...
The source file for running the statistics and inserting the results into the manuscript text. The ...
A Rmarkdown file that contains instructions for creating the supplementary information PDF with all ...
This ZIP archive includes all the raw data and R code used to generate the figures for our paper. We...
<p>Archives containing the MethylCIBERSORT R package (0.2.1) and an archive of knit markdowns contai...
Contains the R script (Analysis.R) which computes everything in the article, and the data sets used....