Session 5 — Work on own projects

Language Analytics in R

0.1 Learning objectives

By the end of this session you will:

• Apply the skills from Sessions 1–4 to your own research data or question.
• Use R (and Quarto) to import, wrangle, summarize, and visualize your data.
• Get feedback and support from the instructor and peers.
• Finalize your project workflow and prepare outputs for submission/discussion.

1 Scope of the session

• Hands-on time: work on your project with R and Quarto.
• Instructor/TA: available for questions, code review, and debugging.
• Peer discussion: optional short check-ins or pair work.

[Add any specific instructions: e.g. data to bring, template Quarto report, or suggested milestones.]

2 Suggested workflow

1. Data: Have your data ready (CSV, text, or corpus) and load it in R.
2. Wrangling: Use dplyr/tidyr to get the data into the shape you need.
3. Analysis: Descriptive stats, simple models, or text/corpus steps as relevant.
4. Visualization: Create at least one plot that answers a concrete question.
5. Document: Write your steps and results in a Quarto document (.qmd).

[Customize with course-specific prompts or a checklist.]

3 Resources

• Session 1–4 materials for reference.
• R for Data Science, R for Linguists.
• R help: ?function_name, Stack Overflow, Posit Community.

4 Course wrap-up

This is the final session: finish analyses, polish reports, and wrap up the course.