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schedule-of-sessions.md

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Upcoming sessions

  • Intro to creating a Shiny App (i.e. an interactive webpage) - Monday Apr 12, 2021
    • Marshall Lloyd - showing shiny()
    • Using dplyr()
    • R

Past sessions

  • Data.table - faster data manipulation - Monday Mar 22, 2021

    • Jonah Gorodensky - showing data.table()
    • Using dplyr(), readr(), microbenchmark()
    • R

  • Raster basics - Monday Mar 8, 2021

    • Lena Faust - showing raster()
    • Using rgdal()
    • R

  • Creating your own functions and loops in R - Monday Feb 22, 2021

    • Chinchin Wang - showing apply, map and function
    • Using tidyverse()
    • R

  • Survival analysis in R using survival and survminer - from getting your ducks (data) in rows to plotting and regression - Monday Feb 8, 2021

    • Jorge Luis Flores - showing survival(Surv, coxph) and survminer(surv_fit, ggsurvplot)
    • Using tidyverse, RColorBrewer, broom
    • R

  • Working with longitudinal data: the RLE (run length encoding) function and applications - Wednesday Nov 25, 2020

    • Chinchin Wang - showing base(rle)
    • Using tidyverse(), lubridate()
    • R

  • Introduction to spatial analysis in R: Mapping and spatial interpolation - Wednesday Nov 11, 2020

    • Susannah Ripley & Martha Lee - showing ggplot2, sf, spatstat, tmap, raster
    • Using dplyr(filter, select, mutate), rgdal , tidyverse, maptools
    • R

  • Using GitHub for version control and collaboration - Wednesday Oct 28, 2020

    • Iris Ganser
    • Using GitHub
    • R, Git

  • Bayesian modelling in R - Wednesday Oct 14, 2020

    • Kevin Jutras - showing rethinking()
    • Using base(list, rnorm, dnorm)
    • R, Rtools (for Windows) or Xcode (for Mac)

  • Descriptive and exploratory data analysis with %>% (pipes), dplyr() and ggplot() functions - Wednesday Sept 30, 2020

    • Jorge Luis Flores - showing dplyr(mutate, group_by, summarize) and ggplot(geom_bar, geom_text, facet_wrap)
    • Using lubridate(year, dmy)
    • R

  • Using tidyr(nest) and broom(glance, tidy) to run several linear regressions and display specific results in a data frame - Wednesday Sept 16, 2020

    • Marshall Lloyd - showing tidyr(nest) and broom(glance, tidy)
    • Using dyplr(mutate, transmute, select)
    • R

Format

  • [Title, date]
    • [Session leader] - [Packages(function) or approaches that will be shown]
    • [Packages(function) shown but not explained]
    • [Software]