The material presented at the workshop draws upon and extends elements of the research data management and publishing training undertaken by the UK Data Service and the UK Statistics Authority-approved ‘Safe Researcher Training’ course, which leads to Accredited Researcher status.
Over the coming months Louise Corti and colleagues will be liaising with other health data owners and providers to examine the appeal of developing training to become a Safe Health Researcher.
What is R?
R is an open-source programming language which is australia rcs data mainly designed to be used for data analysis and data visualisation. Being open-source, R is free for anyone to use, because all of its features have been developed by an army of thousands of volunteer developers who have created “packages” (collections of functions which extend R’s basic set of capabilities) over the past couple of decades.
More background information about R can be obtained from the R Foundation Website, or from R’s wikipedia page. R is generally regarded as one of the “big two” open-source programming languages which are currently being widely used for data science, alongside Python, which is its main competitor.
Although R itself is a language, most R users interact with R using RStudio, which is an open-source integrated development environment (IDE) which enables you to write and execute code and store the datasets which you’re working on in one place. Their open-source nature means that getting hold of R is as simple as downloading R and Rstudio from their respective websites, and then learning how to use them.