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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!

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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