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Statistical Modelling and Graphics Using R

Overview
The package 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.  To find out more about R, visit http://www.r-project.org/.

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 basic 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.

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.

Software
Practical work will be done in: R
Note:
For practical work, participants must bring their own laptop with a fully licensed version of the software.

Extra Information
Related Courses: Advanced Graphics using R; Survival Analysis using R.

Course Dates
Next run to be announced

Duration: 2 days
Price: £TBC
An academic discount is available for this course

Apply Now
(terms and conditions apply)

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  • Home
  • Training
    • Course Registration
    • Terms and Conditions
    • Bespoke Training
    • Mailing List Request
  • Consultancy
    • Expertise
  • Team
    • James Gallagher
    • Sandro Leidi
    • Dankmar Böhning
  • SSC-Stat
  • Resources
  • Contact us
  • Products