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| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | Yes |
| Title | StatWire: Visual Flow-based Statistical Programming |
| Organization Unit | |
| Authors |
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| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| Page Range | LBW104:1 - LBW104:6 |
| Event Title | Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems |
| Event Type | conference |
| Event Location | Montreal QC, Canada |
| Event Start Date | April 21 - 2018 |
| Event End Date | April 26 - 2018 |
| Series Name | CHI EA '18 |
| Place of Publication | New York, NY, USA |
| Publisher | ACM |
| Abstract Text | Statistical analysis is a frequent task in several research fields such as HCI, Psychology, and Medicine. Performing statistical analysis using traditional textual programming languages like R is considered to have several advantages over GUI applications like SPSS. However, our examination of 40 analysis scripts written using current IDEs for R shows that such scripts are hard to understand and maintain, limiting their replication. We present StatWire, an IDE for R that closely integrates the traditional text-based editor with a visual data flow editor to better support statistical programming. A preliminary evaluation with four R users indicates that this hybrid approach could result in statistical programming that is more understandable and efficient. |
| Other Identification Number | merlin-id:16710 |
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