Introduction to R +

Workshop Introduction to R at Telkom University, Bandung

Transcript

1. Introduction to R (+) ...because (you) R not alone @aswansyahputra Muhammad Aswan Syahputra
2. Know your neighbour! ...because (you) R not alone
3. Founded by Ross Ihaka & Robert Gentleman High level language Interactive & Programming A swiss army knife for statistical tests and models, out-of-the box!
4. Download: cran.r-project.org
5. “The closer you are to statistics, research, and data science, the more you might prefer R”
6. R (+)
7. Main features: • Console • Syntax-highlighting editor • Tools for plotting, history, debugging and workspace management
8. Lets try it out! play with and set RStudio
9. - use Projects, not setwd(...) - use script, try to avoid console - Ctrl+Shift+F10 and Ctrl+Alt+B, not rm(list=ls()) - Tab is your friend! - learn the handy shortcuts - do not save and load .Rdata - set up the .Rprofile - use git! Download: git-scm.com/ Reading: happygitwithr.com
10. With great codes, comes great bugs! - (not) Uncle Ben store and share: github.com
11. Keep track of your code with Version Control System It is available in RStudio!
12. Tidyverse?
13. Human thought Machine Language Source: https://github.com/rstudio-education/arm-workshop-rsc2019
14. Human thought Machine Language Source: https://github.com/rstudio-education/arm-workshop-rsc2019
15. Human thought Machine Language Source: https://github.com/rstudio-education/arm-workshop-rsc2019 The tidyverse is an opinionated collection of R packages designed for data science.
16. Program Import Tidy Transform Visualise Model Communicate Understand Data science activity
18. any_function(arg1, arg2, arg3, ...) - arguments are the contexts of a function - arguments are matched by name, or - arguments are matched by position, be careful! change_the_world(...) calculate_value(...) assign. <- , =, ->
19. How to chain? ...because (functions) R not alone
21. 1. diputar 2. dijilat 3. dicelupin 4. dimakan :D
22. 1. putar(apa) 2. jilat(apa, berapa_kali) 3. celup(apa, ke) 4. makan(apa, output)
23. a > oreo_putar ← putar(apa = “oreo”) > oreo_jilat ← jilat(apa = oreo_putar, berapa_kali = 2) > oreo_celup ← celup(apa = oreo_jilat, ke = “susu”) > makan(apa = oreo_celup, output = “kenyang.perut”)
24. a > oreo_putar ← putar(apa = “oreo”) > oreo_jilat ← jilat(apa = oreo_putar, berapa_kali = 2) > oreo_celup ← celup(apa = oreo_jilat, ke = “susu”) > makan(apa = oreo_celup, output = “kenyang.perut”)
25. b > makan( celup( jilat( putar(apa = “oreo”), berapa_kali = 2 ), ke = “susu” ), output = “kenyang.perut” )
26. pipe function(arg1, arg2, arg3,...) arg1 %>% function(arg2, arg3,...) function(arg1, arg2, arg3,...) arg2 %>% function(arg1, arg2=.,arg3,...)
27. c > putar(apa = “oreo”) %>% jilat(berapa_kali = 2) %>% celup(ke = “susu”) %>% makan(output = “kenyang.perut”)
28. How to plot? ...because (plotting systems) R not alone
29. base base lattice lattice ggplot ggplot
30. ggplot2 ggplot(data) + geom_X(mapping=aes(…)) + ... ggplot(data, mapping=aes(...)) + geom_X() + ... data %>% ggplot(mapping=aes(...)) + geom_X() + ...
31. Let’s hand on! ...and have a lot of stress fun! go to github.com/aswansyahputra/my_talk go to github.com/aswansyahputra/my_talk
32. Next? Have fun!
33. R for Data Science (r4ds.had.co.nz) Introduction to Statistical Learning (www-bcf.usc.edu/~gareth/ISL/) Online books (bookdown.org) Need help? install.packages(“swirl”)
34. Telegram: @GNURIndonesia (t.me/GNURIndonesia) Web: www.r-indonesia.id GitHub: www.github.com/indo-r R Indonesia
35. R Indonesia
36. Thanks! aswansyahputra@sensolution.id www.aswansyahputra.com