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Training course "Introduction to descriptive and parametric statistic with R"

(Course no. 107/2017 in the training programme of Forschungszentrum Jülich)

09 Mar 2017 09:00
09 Mar 2017 16:00
Jülich Supercomputing Centre, Besprechungsraum 2, building 16.3, Raum 315


Target audience:
Staff members who want to use R for statistical analysis

Some basic tools for descriptive and parametric statistic are presented and investigated using the freeware R.
The objective is to propose useful methods allowing to analyze data or to develop and calibrate models, as well as to learn how to use R.
The course is organized in three sessions of two hours:

  • The first session is about descriptive tools for univariate and bivariate data (such as histogram, kernel density, measures of location/variability, ranking, boxplot, covariance, correlation, simple linear regression, qqplot).
  • The second session concerns descriptive analysis for multivariate data and big data: Principal component analysis; Multiple linear regression / Estimation by least-square; Supervised and unsupervised clustering methods; Bootstrap.
  • The last session is about parametric statistic: Estimator (definition and property); Punctual estimation (by maximal likelihood and Bayesian approach); Information criteria (AIC, BIC, likelihood ratio...); Precision of the estimations (confidence and credible intervals); Test of hypothesis.

Participants are requested to bring their own laptops.

This course is taught in English.
1 day
Thursday, 9 March 2017, 9:00-12:00 and 13:30-16:00
Jülich Supercomputing Centre, Besprechungsraum 2, building 16.3, room 315
Number of participants:
minimum 5, maximum 14
Dr. Antoine Tordeux, JSC
Dr. Antoine Tordeux
This course is fully booked. New registrants will be put on a waiting list.
Please register with Dr. Antoine Tordeux until 1 March 2017.
If you do not belong to the staff of Forschungszentrum Jülich, we need these data for registration:
Given name, name, birthday, nationality, complete home address
Course materials:
 Introduction to descriptive and parametric statistic with R (PDF, 10 MB)