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Details

WHO is this for?

  • If you are new to R & are short-budgeted on time!
  • If you'd like to start working with data in R w/o learning all the programming details first!!
  • If you have a neat data set you'd like to explore w/ basic statistics!
  • If you are getting started with base R and want to learn more #rstats!
  • If any of this is true, this workshop might be for you!
  • Come EARLY (545p) for help with set-up, questions reg. tidyverse.

WHAT are we planning?
RStats Workshop: Part II

  • Using Existing Data OR Loading Yours
  • Viewing the Structure of your Data
  • Transforming your Data: Basic transformations: z-score, log
  • Intro to Probability Distributions: Skewness, Kurtosis
  • Checking Normality of Distributions: Shapiro-Wilk vs Kolmogorov-Smirnov, Descriptive stats
  • (Intro to) Association Tests: Correlations
  • Excel/SAS/SPSS vs R?
  • If time permits (if not, part III):
  • Hypothesis testing using chi-square tests, t-tests, ANOVAs

  • Power analyses

  • Handling missing & duplicate data (see R packages ‘mixRasch’, ‘mice’, others)

  • Parts III, IV of 'Learning Statistics with R' by Dani Navarro (https://learningstatisticswithr.com/book).

  • Statistical exploration of the gapminder dataset w/ R

AGENDA
6:00–6:10 Meet & Greet | 🍕| Set-up
6:10–6:20 Who we are | Announcements | What's next
6:20–7:25 Workshop: Intro to Statistics w/ R
7:25–7:30 Any more Qs? How to reach us to continue this conversation!

SET-UP INSTRUCTIONS

  1. please bring your laptop w/
  2. pre-installed R & RStudio (https://www.rstudio.com/products/rstudio/) OR use RStudio Cloud (https://rstudio.cloud)
  3. Install packages: tidyverse, gapminder, psych
  • Having trouble with installation & set-up? Ping us on Slack! Or come 15min early!

Useful Resources

  1. Past workshop and meetup materials from 2018: http://bit.ly/rlel-meetup-presentations-gd & http://bit.ly/rlel-meetup-presentations-gh
  2. Relevant R (incl. tidyverse & ggplot2) & Slack cheatsheets: http://bit.ly/rlel-gdrive-cheatsheets
  3. Learning Statistics with R by Danielle Navarro (https://learningstatisticswithr.com/book/)
  4. Hands-On Programming with R by G Grolemund (https://rstudio-education.github.io/hopr/) & R for Data Science by H Wickham & G Grolemund (https://r4ds.had.co.nz/)

💰Sponsor: Early Language and Literacy Investigations Laboratory, MSU (ELLI lab https://ellilab.com; https://facebook.com/ellilab)

Special credit: Dani Navarro, R-Ladies Sydney!

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