How to Create Your Own Package in RStudio

Goes over steps to get you started with developing your own package in R. TIMESTAMPS: 00:00 Introduction 00:17 Start new project 01:35 Write function 03:47 Check for error or warning 04:26 Update description file 05:20 Roxygen 06:50 Update ds.R file 08:14 Document x 09:23 Upload to github 11:07 Install your package 11:46 Use your package 13:00 Modify your package 14:18 Delete github repository Machine Learning videos: https://goo.gl/WHHqWP Time-Series videos: https://goo.gl/FLztxt Becoming Data Scientist: https://goo.gl/JWyyQc Introductory R Videos: https://goo.gl/NZ55SJ Deep Learning with TensorFlow: https://goo.gl/5VtSuC Image Analysis & Classification: https://goo.gl/Md3fMi Text mining: https://goo.gl/7FJGmd Data Visualization: https://goo.gl/Q7Q2A8 Playlist: https://goo.gl/iwbhnE R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.