class: center, middle, inverse, title-slide # Welcome and Escape Room ## Practical 01 ### Dr Jennifer Mankin ### 28-29 January 2021 --- <script type="text/javascript"> setup() </script> ## Overview First Hour - Introductions and Rules for Zoom - Task 1: Meet your team - Module outline and awards - Task 2: Have a chat - Statistics achievement study - Task 3: R and RStudio setup Break and Attendance Second Hour - Escape Room Challenge! --- ## Introductions - Module Leads - Jennifer Mankin and Milan Valasek - [Contact Information on Canvas](https://canvas.sussex.ac.uk/courses/12727) - Doctoral Tutors - Alaa, Alberto, Ali, Arianna, Carina, Dan, Giulia, Helena, and Jenny --- ## Rules for Zoom Practicals - Voice/Mic - Main room: Muted, use chat or "Raise Hand" button to ask questions - Breakout rooms: Unmuted, participate! -- - Video - Your choice - Recommend on in breakout rooms - better for interaction! -- - If you need to step away or leave early... - No need to ask, but let us know if something's wrong - Arrange with your teammates to catch up --- ## Rules for Zoom Practicals (and Life) <br><br><br><br> .center[ ## Ask! ] -- .center[ ## For! ] -- .center[ ## [Help!](https://canvas.sussex.ac.uk/courses/12727/pages/help) ] --- ## Teamwork Makes the Dream Work Every week you will work with the *same* team - Pre-made study group - Share responsibilities and skills - Brainstorm and problem-solve together - Backup if technology fails You will **not** have any marked group assessments! --- ## Task 1: Meet Your Team! In breakout rooms: - Turn on your camera (if you would like to) - Introduce yourselves - Exchange contact info and decide on a way to stay in touch If you miss a practical, get in touch with your team to catch up! --- ## Module Outline Every week we will have: - A lecture beginning the new topic - A tutorial and quiz - Optional seminars - StatsChats (focused on stats) - seminRs (focused on R) - A practical Details: - [Syllabus on Canvas](https://canvas.sussex.ac.uk/courses/12727/assignments/syllabus) - [Welcome video on Schedule and Sessions](https://canvas.sussex.ac.uk/courses/12727/pages/pre-term-preparation) --- ## Communication - Module updates and other information always broadcast via [Canvas Announcements](https://canvas.sussex.ac.uk/courses/12727/announcements) - Check your email regularly! - We **assume you have read these** -- - Discussion and questions via [Piazza on Canvas](https://canvas.sussex.ac.uk/courses/12727/external_tools/6455) -- - [Contact Information on Canvas](https://canvas.sussex.ac.uk/courses/12727) for more --- ## Practicals - Mix of guided demonstrations and unguided practice in teams - Focus on collaborative tasks, teamwork, and hands-on experience - Lots of time to try things and ask questions - Solutions to worksheets updated following week Friday --- ## Expectations - Before your practical each week: - Attend or review the lecture - Complete the tutorial and attempt the quiz - Get help or learn more in StatsChats and seminRs -- - In the practical: - Attend ready to work - Do your best and ask for help when you need it -- - After the practical: - Finish any remaining tasks - Check the solutions - Get help or ask questions before the next practical --- ## Hex Awards .pull-left[  ] .pull-right[ <br><br> We recognise outstanding achievement or contributions to the module with hex awards If someone goes out of their way to help you, [nominate them for the SavioR award](https://canvas.sussex.ac.uk/courses/12727/quizzes/19897). [Read more about hex awards on Canvas!](https://canvas.sussex.ac.uk/courses/12727/pages/Hex%20Awards?titleize=0) ] --- ## pRactice makes pRfect - Learning R requires consistent practice - Small, regular increments better than cramming - Get help early and often! - From your team - In drop-ins - In optional seminars - In practicals - On Piazza --- ## Task 2: Have a Chat Talk to your group members about the following questions: - What are the most important skills, qualities, or characteristics you need to be "good at R"? -- - What works well for you learning R? What do you enjoy? -- - What do you want to get out of this module? What do you want to achieve? -- - What questions or concerns do you have about learning R, or this module? -- Post your thoughts/answers on Padlet: .center[ .btn[[Thursday 9am](https://uofsussex.padlet.org/DrMankin/grp_01_wk_01)] .btn[[Thursday 11am](https://uofsussex.padlet.org/DrMankin/grp_02_wk_01)] .btn[[Thursday 4pm](https://uofsussex.padlet.org/DrMankin/grp_03_wk_01)] .btn[[Thursday 6pm](https://uofsussex.padlet.org/DrMankin/grp_04_wk_01)] .btn[[Friday 9am](https://uofsussex.padlet.org/DrMankin/grp_05_wk_01)]] --- ## "Good at R" <iframe src="https://embed.polleverywhere.com/discourses/h6cJVZe5vRhMKe0Izw5hE?controls=none&short_poll=true" width="800px" height="500px"></iframe> --- ## Statistics and Growth Mindset Study - Research exploring anxiety, growth mindset, engagement, and achievement - Recruiting the 1st and 2nd year Psychology UG cohort - Results used to make teaching and assessments better - **NOT REQUIRED** for this module - participation is completely voluntary - But greatly appreciated! .center.bold[ ### [Participate in the study here](https://tinyurl.com/stats-growthmindset) ] --- ## Task 3: R and RStudio Setup If you have not done so yet (same instructions as [Tutorial 01](https://and.netlify.app/tutorials/01/)): - Create a folder for this module called “02_and” or "02_analysing_data" - In RStudio, create a “week_01” R project - Underscores instead of spaces and 01 instead of 1! - [How to create a project, from PAAS](https://paas.netlify.app/practicals/02_project_files/worksheets/) - Open the project and create the standard folder structure inside: - “data” - “r_docs” - “scripts” - Ask for help, or ask your team if you need help If you're done, consider [participating in our statistics study](https://tinyurl.com/stats-growthmindset) --- ## Break and Attendance - Use the [Sussex Mobile App or Webpage](https://student.sussex.ac.uk/mobile-app) - Enter the PIN (top of the slide) - Be back on time! --- ## RMarkdown Revision - RMarkdown is a document that can include both regular text and code - It can make nicely formatted documents and reports - It can also do lots of other nifty things (like make these slides, and our website!) - For your lab report assessment, **you must submit an RMarkdown file** that: - Contains all of your data analysis, plots, tables, and report text - Knits successfully, without errors - Produces a nicely formatted report - Has no raw code or data appearing in the knitted file --- ## RMarkdown Revision: Escape! - Today we will practice debugging code - When you start, you will see *lots of errors* -- .center.bold[ ### **Don't panic!** ] - Use the error messages to figure out *where* the problem is - Use PAAS materials, Tutorial 01, Google, or whatever else to fix the problem! --- ## RMarkdown Revision: Escape! - [Download the .Rmd file linked here](https://and.netlify.app/docs/prac_01_escape.Rmd) - Save it in `and > week_01 > r_docs` - **ONE** member of your team should open the Rmd in RStudio and share their screen - Work together to knit the document successfully - Note: When you knit successfully, you will hear some short sounds - Be careful of your headphone volume! - Once you're done, you can "escape" the practical as well :) --- class: last-slide <br><br><br><br><br> # Have a great week!