Discussion Overview
The discussion revolves around the use of SAS (Statistical Analysis System) among forum members, focusing on their experiences, challenges, and preferences regarding the software. Participants share insights on its application in various fields, particularly in epidemiology and finance, and discuss the limitations of the SAS environment, especially under different operating systems.
Discussion Character
- Exploratory
- Technical explanation
- Debate/contested
Main Points Raised
- Some participants express frustration with SAS, noting its outdated interface and limitations, particularly in editing capabilities.
- One user mentions using SAS primarily for accessing protected data sets, while others highlight its prevalence in fields like bio sciences and finance.
- Several participants discuss their experiences with different editors for SAS, such as vim, Gedit, and Geany, and the challenges they face in integrating these with SAS.
- There are mentions of the macro language in SAS being complicated and unintuitive compared to other programming languages.
- One participant suggests that SAS's design reflects a lack of foresight from its original authors, leading to a system that feels patched together rather than cohesive.
- Technical solutions for improving the SAS editing experience are proposed, including using key mappings and external tools like wmctrl and xdotool to enhance functionality.
Areas of Agreement / Disagreement
Participants generally agree on the frustrations associated with SAS, particularly regarding its interface and editing capabilities. However, there are varying opinions on the effectiveness of different workarounds and tools, indicating that the discussion remains unresolved on the best practices for using SAS effectively.
Contextual Notes
Limitations include the dependence on specific operating systems and the varying capabilities of different editors when working with SAS code. Some participants express uncertainty about the feasibility of certain technical solutions.
Who May Find This Useful
This discussion may be useful for users of SAS, particularly those working in statistical analysis, epidemiology, or related fields, as well as individuals seeking to improve their workflow with SAS in different operating environments.