Introduction to R
| 2024_HS_Rintro | |
| 17.01.2025 - 24.01.2025 | |
| 2 full days + work in between | |
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Beginn Anmeldefrist: 03.06.2024 Ende Anmeldefrist: 17.12.2025 |
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| ETH Zürich, Zentrum | |
| 5 | |
| 16 | |
| Students enrolled in PSC PhD Programs: CHF 0 LSZGS PhD students: CHF 0 All others: CHF 300 | |
| ETH, tba | |
| This basic introduction to R focuses on the technical aspects of data organisation, handling, analysis and presentation using the wide-spread command line statistics package R. This course is not an introduction to statistics, but lays the foundation to efficiently use statistical applications of R, which are introduced in other courses. The course addresses students who would like to become familiar with a powerful, single and freely available alternative to spreadsheet programmes (Excel), other, less flexible commercial statistical packages (SPSS, Jump, Minitab etc.) and graphics software for presenting data (Excel, Sigmaplot etc.). | |
| Dr. Jan Wunder | |
| 1 | |
| PhD Postdocs if places available | |
| No previous experience with programming languages is required. | |
| English | |
| Attendance and active participation during the course days (14 hours). In order to obtain the credit points, participants are required to hand in an assignment to be carried out at home (preparation work of 14 hours). The details will be explained during the course. The assignment is due no later than one week after the course has ended. | |
By registering you agree to the PSC course terms and conditions AGBs | |
| Cancellation of a course registration should be arranged with the course coordination office psc_phdprogram@ethz.ch and is possible free of charge up to 2 weeks before the course starts. Later cancellations and failure to attend or incomplete attendance without documented justification will incur a fee of 200 CHF. | |
| Students are required to bring their own computers. | |
| Dr. Bojan Gujas (psc_phdprogram@ethz.ch) | |
| BG_HS24_Introduction to R.pdfvertical_align_bottom |