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Today's date is Monday, April 24, 2017
School of Computer Science and Software Engineering
 May 2017
Monday 01
18:00 - COURSE - R Basics Evening Course : This practical course introduces you to R More Information
R is a free and extremely powerful language and software environment for statistical computing, data analysis, and graphics. This course is designed for those who have little to no experience with R, but have a basic understanding of statistics. Those without this knowledge are encouraged to attend the Introductory Statistics course first. More details at http://www.cas.maths.uwa.edu.au/courses/r-basics-evening-course
Tuesday 09
9:00 - EVENT - Statistics Short Course: Spatial Point Patterns : Analysis of spatial data using R and spatstat Website | More Information
Spatial point pattern datasets are becoming common across many fields of research. However, statistical methodology for analysing these data has not been easily accessible. This course is a practical introduction to the analysis of spatial point patterns with a strong focus on hands-on exercises throughout the course.

The course gives an in-depth introduction to spatstat, an R package for analysing spatial point patterns. The package supports a complete statistical analysis of spatial point pattern data: data input and inspection, calculations, plotting, exploratory data analysis, hypothesis tests, model-fitting, simulation, Monte Carlo methods and model diagnostics.

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