How to Install Packages in R | R Tutorial 1.13 | MarinStatsLectures

How to Install Packages in R: Learn how to Find and Install Packages for R with R Functions or RStudio Menus 👍🏼Best Statistics & R Programming Language Tutorials: ( goo.gl/4vDQzT )

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In this R video tutorial we will learn to use the "install.packages" command/function in R programming language or menu options in RStudio to Find and Install Packages for R. Thousands of experts in the statistical sciences have added functionality onto R, in the form of free packages. They extend R’s functionality far beyond the standard analytic methodologies and allow for cutting edge statistical procedures to be implemented, fairly easily.

These video tutorials are useful for anyone interested in learning data science and statistics with R programming language using RStudio.


Table of Content:

0:00:12 what are the packages in R programming language and why use them
0:00:46 how to access help menu for packages in R when using the "install.packages" command/function
0:01:00 how to install packages in R using "install.packages" command when you know the name of the package
0:01:53 how to install packages in R using "install.packages" command when you don't know the name of the package
0:02:48 how to load the library of commands and functions for a package in R
0:03:17 how to access and download packages for R from 'R-project.org' website
0:04:30 how to access help menu for a specific package in R
0:04:57 how to remove a package from R using "remove.packages" command
0:05:11 how to install packages in R using the menus in RStudio

These video tutorials are useful for anyone interested in learning data science and statistics with R programming language.

► ► Watch More:

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

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Content Creator: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC.
Producer and Creative Manager: Ladan Hamadani (B.Sc., BA., MPH)


These videos are created by #marinstatslectures to support some courses at The University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials for Health Science Research), although we make all videos available to the everyone everywhere for free.

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