Here you can find the full repository of notes from previous UQRUG Meetings. Click the Search Icon in the top right to search all posts.
Overview: tinyplot Questions: xlsx, publishing, pdf, GAM, genAI, date as quarter
Overview: profvis Questions: tidyr, dplyr, tmap.mapgl, maplibre, stata, spss
Overview: rix Questions: renv, Docker, rix, Nix, maintenance
Overview: drop in session Questions: renv, Shiny hosting, R version, tmap
Overview: R environments with renv + drop in session Questions: renv, Shiny hosting, R version, tmap
Overview: Cool but Useless end of year event + drop in session
Overview: TidyTuesday + drop in session Questions: Getting started, data visualisation, UniProt and API
Overview: TidyTuesday + drop in session Questions: syntax, RMarkdown
Overview: TidyTuesday + drop in session Questions: spatial data; time series modelling; finance
Overview: 2 years of R news overview + drop in session Questions: debugging; large datasets; complex time-based recoding
Overview: Using taskscheduleR to automate scripts
Overview: Using Data to Viz to help visualise data Questions: NA
Overview: Using R and Rstudio on the HPC Questions: NA
Overview: Identify Data Problems using visdat. Questions: GLMM Help, two y-axis plot, ggplot, splitting data into hours
Overview: Webscraping with rvest. Questions: loading packages, time series data, reading data into R, ggpicrust, dealing with windows file paths.
Overview: Creating CVs in R with vitae and RMarkdown. Questions: ggplotly bumpchart, loading packages, statistics, heatmap help, tibble column headings.
Overview: End of Year Cool But Useless Competition. Questions: lmer model
Overview: Cool But Useless R Packages at ResBazQlD. Questions: Network stability, RMarkdown, images, plotly, Correlations
Overview: Supervised Machine Learning in R. Questions: None!
Overview: Parallization in R. Questions: parallels, HPC, memory utilisation, detectCores, for loops
Overview: Basic Statistics in R. Questions: stats, network analysis, NetCDF, spatial, normality of residuals, intra class correlations, plotting multiple linear regression, reverse geocoding, LD Analysis with genepop
Overview: Using quarto and revealjs to create presentations with R markdown. Questions: learning about knitr, combining shiny with quarto, fixing OneDrive breaking R, cmdstanr, brms
Overview: Using data.table for fast data manipulation. Questions: data.table and for loops, csv vs xlsx, LMER, keeping code tidy and readable, standard R operators, using .RData files, storing descriptive stats in a matrix, mutating all cells in dataframe, HPC help, RMarkdown errors
Overview: Using R for Mailouts. Questions: Reloading packages, Combining multiple tables/kables, using HedgeDoc, using overlead for theses, formatting data for population genetics analysis