![[Review] Hands-On Programming with R: Write Your Own Functions and Simulations (Garrett Grolemund) Summarized.](https://episodes.castos.com/660078c6833215-59505987/images/2685420/c1a-085k3-xxxg6nmnb1-rvtlfr.jpg)
Show Notes
Hands-On Programming with R: Write Your Own Functions and Simulations (Garrett Grolemund)
- Amazon USA Store: https://www.amazon.com/dp/1449359019?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Hands-On-Programming-with-R%3A-Write-Your-Own-Functions-and-Simulations-Garrett-Grolemund.html
- Apple Books: https://books.apple.com/us/audiobook/ai-the-good-and-the-potential-dangers-unabridged/id1709739470?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=Hands+On+Programming+with+R+Write+Your+Own+Functions+and+Simulations+Garrett+Grolemund+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/1449359019/
#Weighteddicesimulation #Rfunctionwriting #Renvironments #VectorizedRcode #S3classes #HandsOnProgrammingwithR
Hands-On Programming with R: Write Your Own Functions and Simulations is a practical introduction to the R language by Garrett Grolemund, published by O Reilly in 2014. It is aimed primarily at people who use R for statistics or data analysis but have not yet learned to program systematically, as well as complete newcomers to R. Rather than organizing instruction around isolated syntax lessons, the book develops programming ability through increasingly substantial casino game projects. Readers build tools for weighted dice, card games, and a slot machine while learning how R represents data, evaluates code, and supports simulation. This structure links programming decisions to questions familiar in data science, including random sampling, probabilities, and the behavior of repeated experiments. The book moves beyond basic commands into functions, control flow, environments, object-oriented tools, vectorization, packages, and debugging. Its purpose is not merely to help readers run existing analyses, but to enable them to create reliable R programs that express a problem, automate repeated work, and investigate it through simulation.
- Amazon USA Store: https://www.amazon.com/dp/1449359019?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Hands-On-Programming-with-R%3A-Write-Your-Own-Functions-and-Simulations-Garrett-Grolemund.html
- Apple Books: https://books.apple.com/us/audiobook/ai-the-good-and-the-potential-dangers-unabridged/id1709739470?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=Hands+On+Programming+with+R+Write+Your+Own+Functions+and+Simulations+Garrett+Grolemund+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/1449359019/
#Weighteddicesimulation #Rfunctionwriting #Renvironments #VectorizedRcode #S3classes #HandsOnProgrammingwithR
Hands-On Programming with R: Write Your Own Functions and Simulations is a practical introduction to the R language by Garrett Grolemund, published by O Reilly in 2014. It is aimed primarily at people who use R for statistics or data analysis but have not yet learned to program systematically, as well as complete newcomers to R. Rather than organizing instruction around isolated syntax lessons, the book develops programming ability through increasingly substantial casino game projects. Readers build tools for weighted dice, card games, and a slot machine while learning how R represents data, evaluates code, and supports simulation. This structure links programming decisions to questions familiar in data science, including random sampling, probabilities, and the behavior of repeated experiments. The book moves beyond basic commands into functions, control flow, environments, object-oriented tools, vectorization, packages, and debugging. Its purpose is not merely to help readers run existing analyses, but to enable them to create reliable R programs that express a problem, automate repeated work, and investigate it through simulation.
