Introduction to R

Training

Introduction to R for Data Analysis

What is R?

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 3-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. Participants will also learn how to make dynamic reports, making their analysis transparent and reproducible.

Goals & Topics
After the course you will be able to:
• understand and write simple R programs
• use R to perform basic statistical analyses of your own data tables
• generate analysis reports from your own data in html or pdf formats, using RMarkdown
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
• installing additional libraries
• histograms, scatter plots, boxplots (in pure R )

Prerequisites
The course requires elementary statistics knowledge, but assumes no prior programming knowledge.
Participants must bring their own laptops capable of running R and RStudio. Please install R (from the Comprehensive R Archive Network-CRAN, for example from this mirror) and download and install RStudio before the course. Participants should also install the R package RMarkdown prior to the course.

Who should attend
Researchers who need to run their own statistical analyses, and want to do it in a transparent and reproducible manner. While most participants tend to be PhD students and postdocs, more senior researchers can also greatly benefit from the course.

Course lecturers
Renee X. de Menezes
Renaud Tissier
Leyla Azarang

Course duration

In the classroom: 3 days
Online: 4 days

Course costs
Free – NKI or AVL
€ 90.00 (OOA-AUMC researchers, exclusive 21% BTW)
€ 150.00 (others from academia, exclusive 21% BTW)
€ 300.00 (others outside academia, exclusive 21% BTW)

Note: prices change if the course is to be given online.

ReMARKS

As the number of participants is limited to 30, we suggest those interested to register as soon as possible to guarantee a place.

If you have registered, please send us notice as soon as possible so that we can cancel your registration. Note that there is a no-show fee for those who cancel within less than 2 weeks prior to the starting date.

ECTs

Participants who have a minimum of 60% attendance and successfully complete the final assignment earn 1.3 ECTs.
No medical accreditation.

Courses Schedule 2021

Introduction to R - Schedule Spring 2021 (FULL) - ONLINE
Monday June 7 online
Tuesday June 8 online
Thursday June 10 online
Friday June 11 online

From 9.00 - 16.30 hrs

Introduction to R - Schedule Fall 2021 (FULL)
Monday November 8 - room Z4
Tuesday November 9 - room Z4
Thursday November 11 - room Z4

From 9.00 - 16.30 hrs

Medical Statistics in R - Schedule Spring 2021 (FULL) - ONLINE
Monday June 21 - online
Tuesday June 22- online
Wednesday June 23 - online
Thursday June 24- online
Friday June 25 - online

From 9.00 - 16.30 hrs

Medical Statistics in R - Schedule Fall 2021 (FULL)
Monday November 22 - room Z4
Tuesday November 23 - room Z4
Thursday November 25 - room Z4
Friday November 26 - room Z4

From 9.00 - 16.30 hrs

Course data in 2022 :

Introduction to R - Schedule Spring 2022
Monday June 6 - room Z4
Tuesday June 7 - room Z4
Wednesday June 8 - room Z4

From 9.00 - 16.30 hrs

Introduction to R - Schedule Fall 2022
Monday November 7 - room Z4
Tuesday November 8 - room Z4
Wednesday November 9 - room Z4

From 9.00 - 16.30 hrs

Medical Statistics in R - Schedule Spring 2022
Monday June 20 - room Z4
Tuesday June 21 - room Z4
Thursday June 23 - room Z4
Friday June 24 - room Z4

From 9.00 - 16.30 hrs

Medical Statistics in R - Schedule Fall 2022
Monday November 21 - room Z4
Tuesday November 22 - room Z4
Thursday November 24 - room Z4
Friday November 25 - room Z4

From 9.00 - 16.30 hrs

The schedule above assumes that courses are given live on location. If the courses are given online, one extra day is added. Each course day is then shortened to stop at 15:00, and between 15:00 and 16:00 we have a Q&A session. In that case, the Introduction to R course will be extended to Friday, and the Medical Statistics course will also include the Wednesday.

REGISTRATION

For NKI and AVL: You can subscribe for these courses in "the Leerportaal"of the AVL Academy

For AUMC participants or others: please use the form on the OOA website.

If you have registered, please unsubscribe in the Leerportaal (NKI and AVL) and in case of AUMC, send an email to p.lagerweij@nki.nl as soon as possible so that we can cancel your registration. Note that there is a no-show fee for those who cancel within less than 2 weeks prior to the starting date.

Remark
The schedule above assumes that courses are given live on location. If the courses are given online, one extra day is added. Each course day is then shortened to stop at 15:00, and between 15:00 and 16:00 we have a Q&A session. In that case, the Introduction to R course will be extended to Friday, and the Medical Statistics course will also include the Wednesday.

Introduction to R

Training

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