Setting Up Working Directory in R | R Tutorial 1.11 | MarinStatsLectures

Setting up a Working Directory in R: How to Set up Working Directories in R Using RStudio Menus and Functions. Practice with Free Dataset: (https://bit.ly/2rOfgEJ) 👍🏼Best Statistics & R Programming Language Tutorials: ( https://goo.gl/4vDQzT )

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In this tutorial, You will learn to use the "getwd", "setwd", "save.image", and "load" functions in R and R Studio menus.


Table of Content:

0:00:07 what are "working directories" in R Statistical Software and why use them
0:00:49 how to find the current working directory in R using the "getwd" function
0:01:03 how to set a working directory in R using "setwd" command
0:02:15 how to set up working directories in R using RStudio menu items
0:03:26 how to save the current "workspace image" in R using the "save.image" function
0:04:38 how to let R know that a file is a workspace image using ".Rdata" extension
0:04:55 how to use the menu items in RStudio to save a workspace image
0:05:32 how to remove all items from the current workspace using the ("rm(list=ls()") command
0:05:42 how to remove all items from the current workspace using RStudio menus
0:05:54 how to quit R using RStudio menus
0:05:58 how to quit R using "q" command
0:07:05 how to load the previous workspace image using the "load" command
0:07:30 how to load the previous workspace image using the "file.choose" command
0:07:51 how to load the previous workspace image using RStudio menus

This video is a tutorial for programming in R Statistical Software for beginners.

► ► Watch More:

► Intro to Statistics Course: https://bit.ly/2SQOxDH
►Data Science with R https://bit.ly/1A1Pixc
►Getting Started with R (Series 1): https://bit.ly/2PkTneg
►Graphs and Descriptive Statistics in R (Series 2): https://bit.ly/2PkTneg
►Probability distributions in R (Series 3): https://bit.ly/2AT3wpI
►Bivariate analysis in R (Series 4): https://bit.ly/2SXvcRi
►Linear Regression in R (Series 5): https://bit.ly/1iytAtm
►ANOVA Concept and with R https://bit.ly/2zBwjgL
►Hypothesis Testing: https://bit.ly/2Ff3J9e

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Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn!