Using R for data analysis November 2020

Adjusted method of (temporary)

We don’t know what the future holds but for the time being, we expect our planned courses to continue from September. You can register for the waiting list. You don’t have to pay yet. We will contact you when the course is definite and at that time you will receive an invoice from us.
If the course continues and the number of registrations is higher than the number of places available, the places will be awarded in order of registration.

--------------------------------------------------------------------

R is an open-source, free environment for statistical computing and graphics. It provides a large repository of statistical analysis methods, both classic and new. However, R has a steep learning curve, due partly to its using a command-line type of user interface, rather than the usual pull-down menus. This 4-day course aims at helping researchers climb this curve, enabling them to perform basic data analysis and graphic displays at the end of the course, as well as giving a platform from which they can deepen their R knowledge later on if necessary.

Goals & Topics
After the course you will be able to:

• understand and write simple R programs
• use R to perform simple statistical analyses of your own data tables
• generate analysis reports  from your own data in html or pdf formats

We will cover the following topics:

• R expressions and formula objects
• R data objects (vectors (arrays), data frames (tables), lists, matrices) creation and usage
• R functions for descriptive statistics and linear model fitting
• RMarkdown for building reproducible reports
• installing additional libraries
• histograms, scatter plots, boxplots (in pure R and elegant with ggplot2 library)
• filtering, sorting, summarizing of a table; joining/merging multiple tables (with dplyr library)
• Prerequisites
• The course assumes no prior programming knowledge. The course requires elementary statistics knowledge.

Participants must bring own laptops capable of running RStudio. Please download and install free RStudio Desktop before the course. Optionally, you may additionally download and install a console version of R.

ONLINE

Participation is free of charge for bachelor* and masterstudents* of the Leiden University or VU University:

• If you have filled in your student nummber and use your studente email adress to subcribe.
• If you are present every day of the course

Please note that we have limited access for students and a fee will be charged to students who do not attend courses or who are too late cancelling their participation of the course.

Adjusted method of (temporary)

We don’t know what the future holds but for the time being, we expect our planned courses to continue from September. You can register for the waiting list. You don’t have to pay yet. We will contact you when the course is definite and at that time you will receive an invoice from us.
If the course continues and the number of registrations is higher than the number of places available, the places will be awarded in order of registration.