![]() ![]() You can find a detailed and readable guide here ! If you are not quite sure this is for you, below is a typical use case, containing only the essential details. Inviting and organizing to your private space is simple. This is critical for teaching! You decide who can access this workspace. Only you can access your project, but you can adjust permissions to let them be viewed and copied by other users. You store code, packages, and files here. ![]() The structure of RStudio Cloud is as follows: If a student has a problem, you can check on their project and even make fixes from your computer (with some restrictions)! This means that you can load all necessary files and packages into a central location and distribute RStudio sessions to each of your students without worrying about differences in operating system, versioning differences, etc. The “central location” is a remote server hosted by RStudio that removes much of the headache from admin duties (and having to contact IT). It is a way for team members (students, teachers, etc.) to collaborate, using the same set of software managed from a central location that the administrator, i.e. RStudio Cloud allows teams to manage R projects in a common space. Luckily RStudio, the company behind the popular interactive development environment, has a strong, free(!) solution. The less setup and maintenance, the better. This is especially true in the current remote learning environment. For example, the time to set up programming exercises, troubleshoot technical issues, and follow progress can quickly eat away at time you as an instructor would probably like to spend covering course material. Efficiently integrating the language into a course can be difficult. The R programming language is a powerful analytical tool that is commonly taught alongside applied fields like statistics, ecology, finance, and more.
0 Comments
Leave a Reply. |