| CODE | DOC6067 | ||||||
| TITLE | Using R for Data Processing | ||||||
| UM LEVEL | D - Doctoral Workshops/Symposium | ||||||
| MQF LEVEL | Not Applicable | ||||||
| ECTS CREDITS | Not Applicable | ||||||
| DEPARTMENT | Doctoral School | ||||||
| DESCRIPTION | R is a free software for data processing and statistical analysis that is quickly becoming the standard in many fields, to the extent that the use of “click and select” software in manuscripts may lead to bad evaluations. R also has a major advantage over “click and select” statistical packages: as a programming language, it allows the efficient pre-processing of data from raw text formats to formats that allow statistical testing. This allows having an integrated workflow from raw data to statistical testing in one environment without losing time by doing pre-processing for each individual data file. In fact, many journals require documentation of the data-processing workflow, for which R has the markdown feature. Moreover, many new statistical techniques tend to get implemented first in R and tutorials require R knowledge for them to be carried out efficiently. This workshop is intended to provide basic knowledge on the use of R. It is intended for doctoral students who do understand the basics of data processing and statistical testing but are not familiar with R. Students are encouraged to bring their own data to see how R can make their workflow more efficient. Learning Outcomes: - Perform basic data pre-processing procedures in R; - Perform statistical tests in R; - Follow tutorials on new methods based on R; - Generate publication-ready documentation of data processing. |
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| ADDITIONAL NOTES | Timetable Details - Please click here for further details. | ||||||
| STUDY-UNIT TYPE | Workshop | ||||||
| METHOD OF ASSESSMENT |
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| LECTURER/S | Holger Mitterer |
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The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints. Units not attracting a sufficient number of registrations may be withdrawn without notice. It should be noted that all the information in the description above applies to study-units available during the academic year 2024/5. It may be subject to change in subsequent years. |
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