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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!

Related topics

Sponsors

College of Natural Sciences @MSU

College of Natural Sciences @MSU

Sponsoring WiDS EL @MSU 2019!

CMSE at MSU

CMSE at MSU

Sponsoring WiDS EL @MSU 2019!

BEACON NSF Center, MSU

BEACON NSF Center, MSU

Pizza and Pop for the August 13, 2018 Meetup.

Microbiology and Molecular Genetics, MSU

Microbiology and Molecular Genetics, MSU

Sponsoring WiDS EL @MSU 2019!

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