UQRUG 8

meeting
Published

August 17, 2020

2020-08-17: UQRUG 8

Attendees and problems

Please add your name and the problem you’d like some help with!

  • Stéphane (Library): no specific problem, here to help! :)
  • Dhananjeyan: New to R, Trying to learn more
  • Phoebe: Hi everybody, I started learning R last week (self-directed). I have problems using the right code for missing data and doing linear regression with categorical data. I am happy to learn other things as well!
  • Fathin (SAFS): Problem yet to come, haha. I am going to add moving average on my boxplot. Don’t know how can I do that.
  • Patrick (\(SAFS\)): I got a problem of GLM(). Plotting mutiple model over a time period.
  • Elspeth Hi, I just started learning R last week as well. Just here to learn generally, no specific problem :)
  • Paula CAI. I want to show you between and near for filters, using tidyverse
  • Evan (QBI) Been using R for stats for about 3 years, will be doing some bioinformatics for PhD, and joining in to meet other people also using R (no specific problem - yet)
  • Jemima Want to understand some warning messages in my CLMM analyses

Shared resources

  • Jemima’s CLMM and stats questions:
    • Patrick: “My biometrician recommended AIC the lower the better”
    • Evan: “this guide to fitting clmm that mght be helpful as well”: https://cran.r-project.org/web/packages/ordinal/vignettes/clmm2_tutorial.pdf
    • Paula: https://www.scribbr.com/statistics/akaike-information-criterion/#:~:text=The%20AIC%20function%20is%202K,it%20is%20being%20compared%20to
    • Fathin recommends this QCIF course: Exploring and Predicting using Linear Regression in R – https://www.qcif.edu.au/trainingcourses/exploring-and-predicting-using-linear-regression/
    • Stéphane: the first warning you saw is related to recent R changes (in R 4.0) and it will be fixed in a future version of ordinal: https://github.com/runehaubo/ordinal/issues/34
  • Patrick’s plotting of multiple models over time:
    • Paula: http://www.sthda.com/english/articles/32-r-graphics-essentials/128-plot-time-series-data-using-ggplot/
  • Cheatsheets: https://rstudio.com/resources/cheatsheets/
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