Tom Mock | A Gentle Introduction to Tidy Statistics in R | RStudio (2019)

R is a fantastic language for statistical programming, but making the jump from point and click interfaces to code can be intimidating for individuals new to R. In this webinar I will gently cover how to get started quickly with the basics of research statistics in R, providing an emphasis on reading data into R, exploratory data analysis with the Tidyverse, statistical testing with ANOVAs, and finally producing a publication-ready plot in ggplot2.
Use the code presented instantly on RStudio Cloud!
RStudio Cloud: rstudio.cloud
Webinar materials: rstudio.com/re...
About Thomas:
Thomas is involved in the local and global data science community, serving as Outreach Coordinator for the Dallas R User Group, as a mentor for the R for Data Science Online Learning Community, as co-founder of #TidyTuesday, attending various Data Science and R-related conferences/meetups, and participated in Startup Weekend Fort Worth as a data scientist/entrepreneur.

[@TheDataDigest]

0:00 A Gentle Introduction to Tidy Statistics in R 5:46 Why learn R? 8:30 ToC (What we are covering today and what we aren't doing) 10:10 Overview (R: Engine vs. RStudio: Interface vs. R Packages: Apps) 10:54 Live Demo of R basics (in R Studio Cloud) 19:00 Introduction to R Markdown (R code to HTML post) 19:56 Analyzing a Study of Alzheimer's Disease (mock dataset) 21:00 Loading Libraries/Packages and the data and take a glimps() 23:14 Plotting the Mini-Mental State Examination with geom_density() 24:20 Calculating basic statistics about the mmse with summarize() and group_by() 26:28 Data exploration of dependent variable (drug_treatment and health_status influence) 28:41 Summary Statistics after turning some numbers/text into factors with mutate() 32:21 Summary Graph of summary statistics with facet_grid() 34:00 ANOVA (ANalysis Of VAriance) with aov(), summary() and tidy() 37:37 Post-hoc tests for multiple testing with pairwise.t.test() and TukeyHSD() 40:33 Publication Graph Guide 44:44 What to do next (RStudio Cloud Primers, Book Guides) 46:50 TidyTuesday - R4DS Online Learning Community 47:30 R Communities, R on Twitter, RopenSci and R-Ladies Global 50:00 Q&A (R Studio Cloud, tidyverse library, RMarkdown > HTML, package function references)

[@TexanSteelersFan]

Thanks for posting the timestamps :)

[@TheDataDigest]

@@TexanSteelersFan No problem. It was a great pleasure to watch your video.

[@mikeliebertee2167]

Tom Mock and tidyverse ... always thumbs up!

[@Benmoshe0]

Thanks for your effort !

[@t_yler]

Tom Mock is great. Thanks for this!

[@MrAbhimufc]

Love this!

[@marions.3657]

I am quebec marine biology study in uni and I am learning rstudio and need more help so I am here for that

[@alejandrorehor9051]

Love it, Thanks!

[@haraldurkarlsson1147]

Hello Tom, This might sound like a curious question but is there a program or process for creating a logo for a specific topic or field such as r3ds? Are the rules set by the R community for doing so and if so what are they? Thanks.

[@sitendugoswami1990]

First comment!

[@NTyran932]

Gg