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Introduction to R the Tidy Way

Everything I did not have time to cover

Mine Dogucu

2020-03-05

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License

More information can be found here

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One last useful function

sessionInfo()
## R version 3.6.1 (2019-07-05)
## Platform: x86_64-w64-mingw32/x64 (64-bit)
## Running under: Windows 10 x64 (build 18362)
##
## Matrix products: default
##
## locale:
## [1] LC_COLLATE=English_United States.1252
## [2] LC_CTYPE=English_United States.1252
## [3] LC_MONETARY=English_United States.1252
## [4] LC_NUMERIC=C
## [5] LC_TIME=English_United States.1252
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## loaded via a namespace (and not attached):
## [1] compiler_3.6.1 magrittr_1.5 tools_3.6.1 htmltools_0.3.6
## [5] xaringan_0.12 yaml_2.2.0 Rcpp_1.0.1 stringi_1.4.3
## [9] rmarkdown_2.0 knitr_1.23 stringr_1.4.0 xfun_0.8
## [13] digest_0.6.20 evaluate_0.14
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Data Science Cycle

Image from Grolemund, G., & Wickham, H. (2018). R for data science (CC BY-NC-ND 3.0).

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Everything I did not have time to cover

What I would teach if we had 8 more hours of this workshop

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Everything I did not have time to cover

What I would teach if we had 8 more hours of this workshop

All the cool things you can check out later in depth

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gganimate for Animated ggplots
patchwork for displaying multiple ggplots
ggtext for adding text to ggplot
shiny for web apps
xaringan for being a Presentation Ninja with .Rmd
stringr for dealing with strings
rticles for LaTeX journal article templates
naniar for summarizing missing data
kableExtra for beautiful HTML tables
blogdownfor creating websites
github for version control

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In short, there is a package for everything.

If there is not, then you can build your own package.

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After the Workshop

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Mine Dogucu

@MineDogucu

mdogucu@uci.edu

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Schedule for the Day

08:45 - 09:00 Introduction
09:00 - 09:15 Getting to Know the Basics
09:15 - 10:15 Data Visualization
10:15 - 10:30 Break
10:30 - 12:00 Data Wrangling
12:00 - 01:00 Lunch
01:00 - 01:30 Working Locally With R
01:30 - 02:00 Dealing with Datasets
02:00 - 02:30 Case Study
02:30 - 02:45 Break
02:45 - 03:30 Modeling
03:30 - 04:00 Everything I did not have time to cover

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License

More information can be found here

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