R statistics

An introduction to the statistical programming environment R

R is a freely available software environment for statistical computing and graphics. This course is a systematic introduction to R. The course covers: the basic R language, data management, descriptive statistics, statistical testing and exploratory data analysis and advance graphical techniques.

Who should attend?

Data analysis with basic knowledge in statistics will benefit from this course. The course is intended as a first course in R but not as a first course in statistics.

How you will benefit?

You will learn to use R for simple statistical analysis and graphics. All practical exercises with solutions are included with the course material and can be followed after the course.

The course's working language and documentation is english; discussion and support will be available in german, english and spanish.

This course is very popular with students and post-graduates. Therefore, we are offering a special reduced price for students..

Dieser 3-tägige Kurs besteht aus 1 Modulen, die auch einzeln gebucht werden können:

Trainer und Dozenten

Dr. rer. nat. Pablo E. Verde is working in the range of statistical modelling in medical and clinical research, currently in synthesis of evidence (meta-analyses). He chairs the Biometrics Task Group in the Coordination Centre for Clinical Studies at Heinrich-Heine-Universität Düsseldorf and conducts research at the university's Institute for Medical Sociology. He has more than 20 years of international experience in statistical consultancy, research and teaching in the domains of medical science, agriculture, health research and risk analysis/financial econometrics.

Pablo is an expert on statistical software R and WinBUGS for MCMC calculations. Since 1998, he is an active member of the R community, being in charge of translation of R into spanish language.

Since 1990, he is teaching the application of S and R, at first for the financial sector and since 2000 in the academic realm.
Pablo is Visiting Lecturer of the Department of Statistics at Stanford University and a Stanford Community Member since 2007. In 2000, Pablo became a member of the Royal Statistical Society.

Voraussetzungen

The course addresses data analysts with basic knowledge in statistics.

Inhalt

  • Introductory concepts of R
  • Data structures, objects and classes
  • Data management with R (indexing and other advanced techniques)
  • Classical graphical functions (scatter plots, conditional plots, histograms, etc)
  • Lattice plots and advance graphical functions in R
  • Further on graphical functionality (ggplot2)
  • Introduction to statistical analysis with R
  • Statistical inference and computer simulation
  • Exploratory multivariate analysis