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.