this can be found in rstudio website. Description from the website: A Gentle Introduction to Tidy Statistics in R 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. 2019-06-12

1. A Gentle Introduction to
Tidy Statistics in R
Thomas Mock, PhD

2. Who am I?

3. Who are you?

5. Kathy Sierra by way of JD Long

6. Why learn R?
- Connect with an amazing community
- Programming is a superpower that everyone has access to
- Clean, analyze, plot, and communicate with your data all in one place
- Reproducibility
- Automation
- IT’S FREE!

9. What we are
covering today
- Basics of RStudio
- Read data into R
- Data wrangling
- Exploratory data analysis
- Basic statistics in R
- Publication plots

10. https://r4ds.had.co.nz/explore-intro.html

11. What we aren’t doing today
- Covering what statistical test to run when
- Deep dive into statistical programming
- Expecting you to 100% get it the first time!

12. Ultimate Goal

13. Overview

14. R: Engine
https://moderndive.com/2-getting-started.html
RStudio: Interface

15. Console Output

16. https://moderndive.com/2-getting-started.html
R: New phone R Packages:
Apps you can download

17. Live demo

18. Next steps!

19. Slides + RStudio Cloud instance

20. RStudio Cloud Primers
https://rstudio.cloud/learn/primers
- Interactive
- Ready to go
- Can’t “break” anything

21. Book guides
- Learning statistics with R
- https://learningstatisticswithr.com/book/
- R for Data Science
- https://r4ds.had.co.nz/
- Data Visualization
- https://socviz.co/

22. #TidyTuesday - R4DS Online Learning Community
Data
● Uploaded weekly at github/rfordatascience/tidytuesday
● Weekly welcome from twitter.com/R4DScommunity
Full details, data, code of conduct: https://github.com/rfordatascience/tidytuesday
A weekly data project aimed at the R ecosystem. An emphasis will be
placed on understanding how to summarize and arrange data to
make meaningful charts with ggplot2, tidyr, dplyr, and other tools in the
tidyverse ecosystem.
Basics to participate:
● Use provided data to create an image of a plot from R
● Save and share code used to create your plot and data tidying
● Submit the plot and code on Twitter
● Use the #TidyTuesday hashtag (and you can tag
@R4DScommunity or @thomas_mock)
● Browse other submissions and like/comment on their work!

25. R on Twitter!
● #rstats
● #tidyverse
● #ggplot2
● #epitwitter
● #r4ds
● #RFeedbackFriday
● #rspatial
● Be wary of “infinite flow”

29. Who am I?
- Former Behavioral Neurobiologist (PhD)
- Former GUI stats user
- NOT a computer scientist
- RStudio Customer Success team
- #TidyTuesday - weekly data project