This will include understanding how to prepare data in a spreadsheet such that it can be imported efficiently into R Next, participants will learn how to import and export data and will get to know the test datasets that R provides for practicing their skills.A good understanding on R data types facilitates further learning and understanding of R code This will be followed by a strong foundation on the basic types of data in R (vectors, matrices, lists, data frames) and how to work with them (access data, modify, filter).They will learn how to work with variables to store data, and how to apply functions to data. First, participants will get to know the R language syntax, how to write proper code for solving a given problem.Introduce participants to the RStudio IDE (scripts, projects, customizing RStudio).

Getting familiar with programming in a dynamic language in general and with R specifically.

The course will be a combination of lectures, interactive live coding, individual exercises and self-study. The focus of the course is on the application of these techniques with R, and not on the underlying statistical theory which can be learnt in other courses.

Participants will be introduced to the R language syntax, basic types of data in R, how to explore data through descriptive statistics and visualization and how to apply a selection of basic techniques for statistical inference. The aim of this course is to introduce the R programming language and how to use it to perform statistical inference and data visualization. Please click here for registration! Scope Introduction to R and R Studio (online) Tuesday 15, Friday 18, Tuesday 22, Friday 25 November 2022 - REGISTRATION CLOSED - We have scheduled an extra edition for 6, 9, 13 and 16 December 2022.

R studio online free