Graphics in R – ONLINE

Graphics in R – ONLINE

  • Traditional graphics & automation
    19/05/2021
    9:30 am - 5:00 pm
  • ggplot2
    20/05/2021
    9:30 am - 10:30 am

Course details

statistics course | level: intermediate | register now
for questions related to this event, contact uhasselt@flames-statistics.com
affiliation: Hasselt University


Abstract

R has great features to make graphics and produce attractive figures. This workshop is intended for R users who want to take full advantage of the graphical possibilities of R and who want to improve their graphical skills in R using the traditional graphics system and the add-on package ggplot2.

Course content
Part 1 - Traditional graphics
• High and low level plot functions
• Annotations
• Multipanel plots
• Loops
• Custom-made functions
• Lists
Part 2 - Introduction to ggplot2
• Building a plot layer by layer
• Faceting
• Multiple plots on the same page
• Adding statistical summaries

Course timeline
• May 6, 2021: course material available (you will receive a self-study package)
• May 19, 2021 9.30 a.m. - 5.00 p.m.: part 1
  - Q&A session 1: traditional graphics
  - Live teaching automation + exercise
  - Q&A session 2: exercise
• May 20, 2021 9.30 a.m. - 10.30 a.m.: part 2
  - Q&A session 3: ggplot2


Prerequisites

Participants should be able to read in and manipulate data in R. If you have no idea what the following commands mean, the course is too advanced for you:
mydata <- read.table (“c:/temp/rawdata.txt”,header=T, dec=”,”)
sub.males<-mydata[mydata$sex==”male”,]
sub.females<-mydata[mydata$sex==”female”,]
mydata$pass<-as.factor(ifelse(mydata$examresult<10,0,1))
levels(mydata$pass)<-c(“fail”,”pass”)
table(mydata$pass)
Course is open for researchers from all fields. No prior knowledge on statistics is assumed. The course does not involve statistical data analyses.


Background readings


Fee

PhDs and post-docs of a Flemish university: free of charge
Other academics: 120 €
Non-profit/Social sector: 200 €
Private sector: 400 €


Venue

The course is offered ONLINE.
The participant will receive a self-study package that s/he must study before the first session.
To receive the certificate of attendance, the participant needs to attend all sessions (live teaching and Q&A sessions).


Instructor

Prof. An Carbonez, Prof. Erik Fransen


Sign up (price ticket depends on affiliation)

You will receive payment details later from the organiser by email (if applicable).
Goes On Sale
01/02/2021