<p>WHO is this for?<br/>- If you are new to R &amp; are short-budgeted on time!<br/>- If you'd like to start working with data in R w/o learning all the programming details first!!<br/>- If you have a neat data set you'd like to explore w/ basic statistics!<br/>- If you are getting started with base R and want to learn more #rstats!</p> <p>* If any of this is true, this workshop might be for you!<br/>* Come EARLY (545p) for set-up, questions reg. tidyverse</p> <p>WHAT are we planning?<br/>*RStats Workshop: Part I*<br/>- getting started with R<br/>- exploratory statistics: measures of central tendency &amp; variability, correlations, multi-variate stats<br/>- visualizing statistical analyses: histograms, boxplots/violin plots, scatterplots, bar graphs, saving plots<br/>- Excel/SAS/SPSS vs R?</p> <p>- Parts II, III of 'Learning Statistics with R' by Dani Navarro (<a href="https://learningstatisticswithr.com/book" class="linkified">https://learningstatisticswithr.com/book</a>).<br/>- Statistical exploration of the gapminder dataset w/ R</p> <p>*RStats Workshop: Coming up next*<br/>- Probability Distributions &amp; skew, kurtosis<br/>- Inferential Statistics: hypothesis testing, p-value, confidence intervals<br/>- Handling Missing data: imputation<br/>- Parametric (e.g., ANOVA) &amp; Non-parametric statistical tests<br/>- Principal Component Analysis (PCA) using ggbiplot</p> <p>AGENDA<br/>6:00–6:15 Meet &amp; Greet | 🍕| Set-up<br/>6:15–6:25 Who we are | Announcements | What's next<br/>6:25–7:25 Workshop: Intro to Statistics w/ R<br/>7:25–7:30 Any more Qs? How to reach us to continue this conversation!</p> <p>*SET-UP INSTRUCTIONS (before the workshop)*<br/>1. please bring your laptop w/<br/>2. pre-installed R &amp; RStudio (<a href="https://www.rstudio.com/products/rstudio/" class="linkified">https://www.rstudio.com/products/rstudio/</a>) OR use RStudio Cloud (<a href="https://rstudio.cloud" class="linkified">https://rstudio.cloud</a>)<br/>3. Install packages: tidyverse, gapminder<br/>* Having trouble with installation &amp; set-up? Ping us on Slack! Or come 15min early.</p> <p>*Useful Resources*<br/>1. Past workshop and meetup materials from 2018: <a href="http://bit.ly/rlel-meetup-presentations-gd" class="linkified">http://bit.ly/rlel-meetup-presentations-gd</a> &amp; <a href="http://bit.ly/rlel-meetup-presentations-gh" class="linkified">http://bit.ly/rlel-meetup-presentations-gh</a><br/>2. Relevant R (incl. tidyverse &amp; ggplot2) &amp; Slack cheatsheets: <a href="http://bit.ly/rlel-gdrive-cheatsheets" class="linkified">http://bit.ly/rlel-gdrive-cheatsheets</a><br/>3. Learning Statistics with R by Danielle Navarro (<a href="https://learningstatisticswithr.com/book/" class="linkified">https://learningstatisticswithr.com/book/</a>)<br/>4. Hands-On Programming with R by G Grolemund (<a href="https://rstudio-education.github.io/hopr/" class="linkified">https://rstudio-education.github.io/hopr/</a>) &amp; R for Data Science by H Wickham &amp; G Grolemund (<a href="https://r4ds.had.co.nz/" class="linkified">https://r4ds.had.co.nz/</a>)<br/>* Start the discussion on Slack: <a href="https://rladies-eastlansing.slack.com" class="linkified">https://rladies-eastlansing.slack.com</a> OR <a href="http://bit.ly/rlel-slack-signup" class="linkified">http://bit.ly/rlel-slack-signup</a> (if you are a new member) #workshop-rstats channel<br/>** Questions reg. Slack/Workshop? Email us: [masked]</p> <p>💰Sponsor: ICER, MSU (<a href="https://icer.msu.edu" class="linkified">https://icer.msu.edu</a>)<br/>Special credit: Dani Navarro, R-Ladies Sydney!</p>