What is Tidyverse?
“Tidy data” describes the process of tidying data, following a standardized approach, which makes manipulation, exploration, analyses, and visualization easier. “Tidyverse” is a collection of coherent R packages, or tools, with a shared design philosophy. The intention is to make statisticians and data scientists more productive by way of a workflow that facilitates communication and results in reproducible products.
(Source: What is the tidyverse? | R-bloggers)
What is RStudio?
RStudio is an open-source integrated development environment (IDE) that facilitates statistical modeling as well as graphical capabilities for R. There are two formats: RStudio Desktop, which is a regular desktop application; and RStudio Server, which runs on a remote server and allows you to access RStudio using a web browser.
(Source: RStudio Tutorial - A Complete Guide for Novice Learners! - DataFlair (data-flair.training))
Full course description: Course description
This workshop is:
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For graduate students and researchers, who:
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Want to learn to work with datasets in R, but have little or no prior knowledge of it.
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Already know R, but want to learn to use Tidyverse,
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- For anyone who fits one of the following descriptions and could join us, either as an individual or a team helper:
- You are an expert programmer in other languages (or base R) and want to learn Tidyverse as a new way of working in R.
- You are competent with R, and want or need your team members to learn R Tidyverse, but have either little time or confidence to teach it by yourself.
Prerequisites
Before the start of the course, you are expected to:
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Abide by the Carpentries' Code of Conduct.
- Be aware of the fact that this workshop focuses on the basics of Tidyverse in examples and exercises, and is not meant for experienced programmers.
Registration
- Please click here to register
- Sign-up deadline: 8 April
After signing up, you will receive an automated email to confirm your registration. The maximum number of participants is 30, and people on the waiting list will automatically be admitted when a seat becomes available.
Should we receive more sign-ups by individual learners than our capacity allows, the following priority criteria apply:
- Students and staff at UiO/OUS/Rikshospitalet.
- Students and staff at other Norwegian research institutes.
- Other residents in Norway
Given the above criteria, you must use your institutional email when signing up.
Contact
If you have any questions related to the installation and testing of the software packages needed, feel free to contact us at: contact-us@carpentry.uio.no
If you are interested in other Carpentry@UiO workshops, please visit uio.no/carpentry
