Statistical Modelling and Graphics using R

  • Location: Cass Business School
  • Duration: 2 days
  • Software: Stata, R
  • Level: Introductory
  • Delivered By: Sandro Leidi; James Gallagher
  • Topic:
Statistical Modelling and Graphics using R

Course Overview

Course Date: 21 & 22 August 2018

R is a freely available software environment for statistical computing and graphics. It has the facilities to perform the most advanced statistical modelling methods, and is equally well suited to simple statistics and graphical displays. This course encourages an interactive approach to statistical analysis based on the use of R's publication-quality graphics, as well as its extensive data exploration and statistical modelling capabilities.

Who Should Attend?

Statisticians and others who analyse data will benefit from this course. The course is not intended as a first course in statistics. You should be familiar with basic statistical concepts up to regression and analysis of variance, and preferably you will have already some experience with a statistics package.

How You Will Benefit

You will learn to use R for fundamental statistical analysis and graphics. You will begin to see why it's so popular. All optional practical exercises are included with the course materials and can be followed after the course.

Click here to view the full course agenda

Course Agenda

What Do We Cover?

  • Introductory concepts of R, data structures, objects, classes, functions
  • Exploratory stage - graphical methods and descriptive statistics
  • Linear models, diagnostics, model selection
  • An outline of the use of R for fitting and displaying generalised linear models (GLMs)
  • Further graphics with R
  • Optional practicals on mixed models, survival analysis, generalized additive models (GAMs) or improving graphical capabilities.

Daily Timetable

  • 09:00-09:20 Registration
  • 09:30-11:00 Session 1
  • 11:00-11:15 Tea/coffee break
  • 11:15-12:45 Session 2
  • 12:45-14:00 Lunch
  • 14:00-15:15 Session 3
  • 15:15-15:30 Tea/coffee break
  • 15:30-17:00 Session 4


  • We assume that you are a confident user of EITHER Stata OR R and have a basic knowledge of the other program
  • You will need to bring your laptop with the latest version of R installed
  • The latest version of RStudio if you use it. If you don't use RStudio, please let us know ahead of the course.
  • You will also receive a temporary Stata 15 training license for the duration of the course. Stata should also be installed on your laptop ahead of the course.

Terms & Conditions

  • Student registrations: Attendees must provide proof of full time student status at the time of booking to qualify for student registration rate (valid student ID card or authorised letter of enrolment).
  • Additional discounts are available for multiple registrations.
  • Cost includes course materials, lunch and refreshments.
  • Delegates are provided with temporary licences for the principal software package(s) used in the delivery of the course. It is essential that these temporary training licenses are installed on your computers prior to the start of the course. We can provide laptops to attendees. Prior notice is required and additional charges will apply.
  • Should you need assistance in locating hotel accommodation in the immediate vicinity of the course location, please notify us at the time of booking.
  • Payment of course fees required prior to the course start date.
  • Registration closes 5-calendar days prior to the start of the course.
    • 100% fee returned for cancellations made more than 28-calendar days prior to start of the course.
    • 50% fee returned for cancellations made 14-calendar days prior to the start of the course.
    • No fee returned for cancellations made less than 14-calendar days prior to the start of the course.

The number of attendees is restricted. Please register early to guarantee your place.

  •  CommercialAcademicStudent
    2-day course 21 & 22 August 2018 (21/08/2018 - 22/08/2018)

All prices exclude VAT or local taxes where applicable.

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