<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 help with set-up, questions reg. tidyverse.</p> <p>WHAT are we planning?<br/>*RStats Workshop: Part II*<br/>- Using Existing Data OR Loading Yours<br/>- Viewing the Structure of your Data<br/>- Transforming your Data: Basic transformations: z-score, log<br/>- Intro to Probability Distributions: Skewness, Kurtosis<br/>- Checking Normality of Distributions: Shapiro-Wilk vs Kolmogorov-Smirnov, Descriptive stats<br/>- (Intro to) Association Tests: Correlations<br/>- Excel/SAS/SPSS vs R?</p> <p>* If time permits (if not, part III):<br/>- Hypothesis testing using chi-square tests, t-tests, ANOVAs<br/>- Power analyses<br/>- Handling missing &amp; duplicate data (see R packages ‘mixRasch’, ‘mice’, others)</p> <p>- Parts III, IV 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>* For 'RStats Workshop: Part I' material, check out the material on Google Drive (<a href="http://bit.ly/rlel-meetup-presentations-gd" class="linkified">http://bit.ly/rlel-meetup-presentations-gd</a>), GitHub (<a href="http://bit.ly/rlel-meetup-presentations-gh" class="linkified">http://bit.ly/rlel-meetup-presentations-gh</a>) or our Slack channels (<a href="https://rladies-eastlansing.slack.com" class="linkified">https://rladies-eastlansing.slack.com</a>; #workshop-rstats #[masked]-rstats).</p> <p>AGENDA<br/>6:00–6:10 Meet &amp; Greet | 🍕| Set-up<br/>6:10–6:20 Who we are | Announcements | What's next<br/>6:20–7:25 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*<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, psych<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: Early Language and Literacy Investigations Laboratory, MSU (ELLI lab <a href="https://ellilab.com" class="linkified">https://ellilab.com</a>; <a href="https://facebook.com/ellilab" class="linkified">https://facebook.com/ellilab</a>)</p> <p>Special credit: Dani Navarro, R-Ladies Sydney!</p>