Category Archives: IRWS Courses 2009

Courses during the International Research Workshop 2009

Data Analysis with R

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Detlef Steuer (HSU Hamburg)

Date:
05.10.2009, 09:00 a.m. – 12:30 p.m.
06.10.2009, 09:00 a.m. – 12:30 p.m.
08.10.2009, 09:00 a.m. – 12:30 p.m.
09.10.2009, 09:00 a.m. – 12:30 p.m.

Room: n.s.

Max. number of participants: 15

Semester periods per week: n.s.

Credit Points: 3 CP for participating in the whole IRWS 2009

Language of instruction: English

Contents:

Starting with a basic level introduction to R and its concepts the course will cover typical problems arising in research using statistical tools. Focus will be on the tool R itself, not on the underlying statistics. Nevertheless procedures for descriptive statistics, regression, and time series analysis methods will be given in the examples. Following a ‘natural’ workflow for statisticians the course will cover reading (and cleaning) data, generating graphs and reports, defining functions for repetitive work and keeping research reproducible.

You have to register for the 3rd International Research Workshop to participate in this course.

Data Analysis with Stata (Advanced)

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Andrea Schäfer (University of Bremen)

Date:
05.10.2009, 09:00 a.m. – 12:30 p.m.
06.10.2009, 09:00 a.m. – 12:30 p.m.
08.10.2009, 09:00 a.m. – 12:30 p.m.
09.10.2009, 09:00 a.m. – 12:30 p.m.

Room: n.s.

Max. number of participants: 17

Semester periods per week: n.s.

Credit Points: 3 CP for participating in the whole IRWS 2009

Language of instruction: English

Contents:

The course is designed to provide a more advanced knowledge of Stata 10. Those who are already experienced in using Stata for data analysis and attended the ‘Introduction to Stata’ course or be familiar with the contents will benefit most from the course. Further, it is assumed that participants will have a working knowledge of basic statistics. However, the course is not focussed on statistical content, but on data management skills. By the end of the course, students should be able to use Stata 10 efficiently through using a broader range of complex commands, understanding and using matrices, scalars and macros and produce formatted outputs.

Teaching practice will consist of tutorials and practical sessions (exercises).

Course outline:

  • Short review on basics
  • How to reshape and create data sets
  • Advanced functions and commands: using egen, _N, _n
  • Structure of loopings: while, foreach and forvalues
  • Managing and creating matrices
  • Understanding and using: scalars, macros and arguments
  • Fancy graphs: Create tailor-made publication quality graphs
  • Know how to export results: estout, outreg, tabout
  • Very first steps: writing programs

You have to register for the 3rd International Research Workshop to participate in this course.