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Data Analysis with R

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Wenzel Matiaske (HSU Hamburg)

Date:

03.10.2011, 09:00 – 12:30
04.10.2011, 09:00 – 12:30
06.10.2011, 09:00 – 12:30
07.10.2011, 09:00 – 12:30

Room: n.s.

Max. number of participants: 20

Semester periods per week: n.s.

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English/German (depending on participants)

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 multivariate 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 5th International Research Workshop to participate in this course.

Data Analysis with R – Reproducible Research

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Detlef Steuer (HSU Hamburg)

Date:
04.10.2010, 09:00 – 12:30
05.10.2010, 09:00 – 12:30
07.10.2010, 09:00 – 12:30
08.10.2010, 09:00 – 12:30

Room: n.s.

Max. number of participants: 20

Semester periods per week: n.s.

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English/German (depending on participants)

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 4th International Research Workshop to participate in this course.