In annloh/austin2011: Replication Simulation Study Austin 2011

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "README-"
)
# Please put your title here to include it in the file below.
Title <- "Replication report Austin 2011"

austin2011

This repository contains the data and code for our paper:

>

Our pre-print is online here:

Lohmann,A & Groenwold, R.H.H. (2020). Replication report- Austin 2011. Name of journal/book, Accessed r format(Sys.Date(), "%d %b %Y"). Online at https://doi.org/xxx/xxx

How to cite

Please cite this compendium as:

Authors, (r format(Sys.Date(), "%Y")). Compendium of R code and data for r Title. Accessed r format(Sys.Date(), "%d %b %Y"). Online at https://doi.org/xxx/xxx

Contents

The analysis directory contains:

• :file_folder: paper: R Markdown source document for manuscript. Includes code to reproduce the figures and tables generated by the analysis. It also has a rendered version, paper.docx, suitable for reading (the code is replaced by figures and tables in this file)
• :file_folder: data: Data used in the analysis.
• :file_folder: figures: Plots and other illustrations
• :file_folder: supplementary-materials: Supplementary materials including notes and other documents prepared and collected during the analysis.

How to run in your browser or download and run locally

This research compendium has been developed using the statistical programming language R. To work with the compendium, you will need installed on your computer the R software itself and optionally RStudio Desktop.

The simplest way to explore the text, code and data is to click on binder to open an instance of RStudio in your browser, which will have the compendium files ready to work with. Binder uses rocker-project.org Docker images to ensure a consistent and reproducible computational environment. These Docker images can also be used locally.

You can download the compendium as a zip from from this URL: master.zip. After unzipping: - open the .Rproj file in RStudio - run devtools::install() to ensure you have the packages this analysis depends on (also listed in the DESCRIPTION file). - finally, open analysis/paper/paper.Rmd and knit to produce the paper.docx, or run rmarkdown::render("analysis/paper/paper.Rmd") in the R console

Licenses

Text and figures : CC-BY-4.0

Code : See the DESCRIPTION file

Data : CC-0 attribution requested in reuse

Contributions

We welcome contributions from everyone. Before you get started, please see our contributor guidelines. Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

annloh/austin2011 documentation built on Aug. 22, 2020, 12:13 a.m.