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Details

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WHO is this for?
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  • 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!

Please note:
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  • View set-up instructions, past workshop material and other useful resources below. We will assume that you are up to speed with the past material & set the pace accordingly.
  • Need help? Come EARLY (545p) for help with set-up, questions reg. tidyverse and/or contact us on Slack (https://rladies-eastlansing.slack.com; #howto-r channel).

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WHAT are we planning?
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RStats Workshop: Part III

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

  • Review power tests/analyses

  • Hypothesis testing using parametric/nonparametric tests; chi-square tests, t-tests, Wilcoxon, ANOVA; corrected p-values & effect sizes

  • Hands-on exercises w/ the gapminder dataset

  • Excel/SAS/SPSS vs R?

  • Parts IV, V (Ch 11–13) of 'Learning Statistics with R' by Dani Navarro (https://learningstatisticswithr.com/book).

  • Statistical exploration of the gapminder dataset w/ R

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AGENDA
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5:45–6:00 Questions based on past workshops, Help w/ set-up
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!

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SET-UP INSTRUCTIONS
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  1. please bring your laptop w/
  2. pre-installed R (3.5+) & RStudio (1.1.4+)(https://www.rstudio.com/products/rstudio/)
    OR use RStudio Cloud (https://rstudio.cloud) w/ Google/GitHub login
  3. Install packages: tidyverse, gapminder, psych
  • Having trouble with installation & set-up? Ping us on Slack! Or come 15min early!

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Useful Resources
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  1. Past workshop and meetup materials from 2018 & 2019:
    Google Drive: http://bit.ly/rlel-meetup-presentations-gd & GitHub: 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/)

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💰Sponsor: ???
Interested in sponsoring? Email us!

Special credit: Dani Navarro, R-Ladies Sydney!

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