Short Course Announcement

R Software Fundamentals with Applications to Statistical Analyses & Modelling
Become more familiar with the open-source statistical software, R, and its use as a statistical
analysis, modelling and interpretation tool, aided by case studies



The School of Statistics and Actuarial Science (SSAS) at Wits University, in collaboration with the DST-NRF CoE-MaSS, will be holding a short course to familiarise delegates with the open-source statistical software, R, in addition to its use as a statistical analysis, modelling and interpretation tool.

This 5-day short course, although not assessed, is regarded by the University as NQF Level 5. It will be taught using methods and various (real) case studies that can be applied more widely. Delegates may also bring their own data for analysis.

Examples of topics that may be covered include:

• R software skills

• Software sources, packages, installation and help facilities
• Import and export of data, and interaction with databases and other statistical software
• Data types, frames, lists and factors
• Data clean-up and manipulation, amongst others incorporating combining & subsetting, functions, operations & transformations (vectors and matrices included)
• Variable and observation selection or exclusion
• Graphing and graphical types & options

• Statistical techniques

• Exploratory Data Analysis (EDA), summary statistics and graphical representations of data
• General statistical inference and estimation (e.g., confidence intervals and hypothesis tests)
• Contingency tables and goodness-of-fit
• Analysis of Variance (ANOVA) and related techniques
• Regression, General Linear Models (GLMs) and Multivariate Analysis
• Data Mining and Machine / Statistical Learning

Computer laboratory machines will be used but those wanting to work on their own laptops for the workshop-based practical sessions will be required to have installed the relevant R and allied software onto their personal laptops beforehand. Basic programming experience and some exposure to the R package would be advantageous, albeit not essential.


Registration Fees
Official University Staff or (Postgraduate) Students registered for 2017 at a recognised South
African institution of higher learning: R2500 pp
All other delegates: R5000 pp

Places are limited and will be allocated on a first-come, first-served basis. The fillable PDF application form—available from the links above—should be completed and submitted together with the supporting documentation requested to

Linda McRae-Samuel: / 011 717-6266
Edith Mkhabela: / 011 717-6272

Provisional acceptance and an invoice will then be sent to successful applicants. No refunds or substitutions allowed. The registration fee for official staff or (postgraduate) students registered for 2017 at a recognised South African institution of higher learning is R2500 (South African Rands) per person, and R5000 per person for all other delegates. Accommodation and travel costs will be the responsibility of participants.

After proof of payment is received, registration will be confirmed, and further information requested (e.g., special dietary requirements, vehicle details) and provided (directions, parking, accommodation possibilities).

Prospective participants may send queries to Linda or Edith by email/phone numbers above.

GASA Course in Advanced Multivariate Geostatistics – November 2016

The Geostatistical Association of Southern Africa in conjunction with the University of Alberta is pleased to present Dr. Clayton Deutsch’s short course on

Advanced Multivariate Geostatistics

Monday 7 – Friday 11 November 2016

Venue in Johannesburg, Gauteng (to be confirmed)


Clayton V. Deutsch and Ryan M. Barnett

Centre for Computational Geostatistics

School of Mining and Petroleum Engineering

University of Alberta • Edmonton, Alberta CANADA

Click here for the Announcement

Click here for the Registration form


This course will cover essential theory and practice of advanced multivariate geostatistical modeling. This course builds on existing courses to cover advanced and emerging techniques for multivariate geostatistics. Selected CCG software may be used for some hands-on exercises. The morning will be reserved for lecturing. The afternoons will be a combination of lectures, hands-on exercises and demonstrations.


Dr. Deutsch is Director and Professor in the School of Mining and Petroleum Engineering, Department of Civil & Environmental Engineering at the University of Alberta. He teaches and conducts research into better ways to model heterogeneity and uncertainty. Prior to joining the University of Alberta, Dr. Deutsch was an Associate Professor (Research) in the Department of Petroleum Engineering at Stanford University. His employment history also includes three years with Exxon Production Research Company and three years of experience with Placer Dome Inc. Dr. Deutsch has published six books and over 200 research papers. Dr. Deutsch holds the Alberta Chamber of Resources Industry Chair in Mining Engineering and the Canada Research Chair in Natural Resources Uncertainty Characterization.


Day One

  01 – Introduction and Overview

  02 – Multiple Variables and Transformations

03 – Multivariate Distributions Including the Gaussian

04 – Linear Model of Coregionalization and Cokriging

Day Two

 05 – Cokriging with Unequally Sampled Data

06 – Colocated Cokriging and Variants

 07 – Simulation with Colocated Cokriging and Variable Aggregation

 08 – Principal Component Analysis

Day Three

 09 – Sphering and Minimum/Maximum Autocorrelation Factors

 10 – Projection Pursuit Multivariate Transformation

 11 – Gaussian Mixture Models and Stepwise Conditional Transform

12 – Other Transforms and Guide to Modelling Technique Selection

Day Four

13 – Multivariate Data Imputation

 14 – Clustering and Classification

 15 – Response Surface Fitting and Sensitivity Analysis

 16 – Direct Multivariate Estimation and Kernel Density Estimation

Day Five

 17 – Issues of Scale and Averaging; Geometallurgy Case Study

18 – Trends, Universal Kriging and Kriging with External Drift

 19 – Post Processing and Checking

 20 – Special Topics from CCG

This schedule will be modified to meet the objectives and pace of the instructor/participants

*Copyright, 2016, Centre for Computational Geostatistics   All rights reserved.


The cost for the week’s course is R18 000-00 per delegate.

Please complete the registration form and return to

For any queries please contact the Course Secretariat.

Course Secretariat

Yolandé van den Berg


Cell: 082 323 3910

Fax: 086 260 7024