UQRUG 36

meeting
Overview: Websites with Quarto.
Questions: Bayesian Stats, glm(), R Markdown, Functional Programming, Code debugging
Published

March 29, 2023

2023-03-29: UQRUG 36

Attendees

  • Nicholas Wiggins | Library | Here to Help!
  • Rene Erhardt | School of Pharmacy |
  • Yufan Wangof Nursing Qs on Bayesian statisticsto plot a probability density function on R
  • Luke Gaiter | Library | Here to listen/help
  • Giulio Centorame | PhD student @ IMB | Qs on functional programming in R
  • Kar Ng | Data Analyst at Student Affair | Learning
  • Jianan REN | PhD student in Environmental Science | beginner in R
  • Jayne McGhie | PhD student in SAFS | beginner in R - not questions yet……
  • Katharine Hegerty | PhD student FoM | beginner in R so need to learn pretty much anything but also needing help with registry data project in R
  • Valentina
  • Lauren:) here to learn !
  • Anna Gibbs | Clinical research assistant CCHR | here to learn about GLM in r, offsets, and Rmarkdown
  • Lijalem Tesfaw|PhD student @UQ, SPH Biostatistics and Epidemiology division |here to learn how to create R Dashboard, shiny web page, Rmarkdawn and R-spatial analysis
  • Grant Taylor|PhD student|here to listen this month, but need help debugging script next time maybe

Questions

Yufan Wang - Qs on Bayesian statistics

There’s a shiny app called the Shelf package. How do you interpret the code snippets from the user guide for shelf? Does anyone have experience plotting a probability density function on R? BRMS Package might be useful to run the models. ggplot has geom_density and geom_boxplot

Giulio Centorame - Qs on functional programming in R

Giulio has some functions that have nested loops on big data. The advice is to explore the R package parallel. RCC may have some suggestions. You could try attending Hacky Hour, and seeing if David Green. Nick will explore with GeoSpatial Community regarding using parallel. You can try making your code just a little more efficient and this will flow on to save a lot of time in loops.

Anna - glm() function question

What is the A plus is adding it as a single interaction An Asterisk is adding the relationship between two factors as a factor A comma is a another argument in the function, and offset is an argument for the glm() function

Anna - R Markdown

Yes you do need to do data wrangling in markdown before you run analyses on the data. You don’t need to treat each block of code as an individual entity. You only need to run your wrangling once per document.

Jayne - Eyes on my code

Dog temperature code.