Statistics and Statistics with R Tutorials (All Videos) | MarinStatsLectures - Dummy Variables or Indicator Variables in R | R Tutorial 5.5 | MarinStatsLectures

Dummy Variables or Indicator Variables in R: How are dummy or indicators variables used to include categorical variables in a regression model in R Practice Dataset (LungCapData) here: https://statslectures.com; More Statistics & R Programming Videos: https://goo.gl/4vDQzT ►► Like to support us? You can Donate (https://bit.ly/2CWxnP2), Share our Videos, Leave us a Comment and Give us a Thumbs up! Either way We Thank You! In this R video tutorial, we learn what dummy or indicator variables are and how they are used to include categorical or qualitative variables or factors into a regression model in R. To consider a categorical variable as a predictor in a regression model, we create indicator variables to represent the categories that are not the reference. Note: If you include a categorical variable into a regression model in R, R will automatically create dummy variables for it. For example, if X1 is a numeric variable and X2 is a categorical variable with 4 levels, if you fit a linear regression model lm(Y ~ X1 + X2), R will automatically create the necessary 3 dummy variables for X2 when fitting the model. The video provides a tutorial for programming in R Statistical Software for beginners. ■Table of Content: 0:00:11 Categorical or qualitative variables (AKA factors) can be included in a regression model using dummy or indicator variables 0:00:31 Introducing the categorical variable example in R (CatHeight) 0:00:50 How many dummy or indicator variables are needed to represent a categorical variable in a regression model? 0:01:37 How to create dummy or indicator variables for a categorical variable with 6 levels with R programming language? (an example) 0:02:18 How to determine the reference or baseline group in R? 0:02:35 How an individual's height category is represented using dummy or indicator variables in R? 0:03:46 How to interpret the model coefficients for the dummy or indicator variables in R? 0:05:52 Why do we use dummy or indicator variables in a regression model in R? 0:06:00 How does R create the dummy or indicator variables in a regression model? 0:06:07 How does R choose the reference or baseline category? 0:06:19 How to change which category or level serves as the reference of baseline group in R? ► ► 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 ►Linear Regression Concept and with R Lectures https://bit.ly/2z8fXg1 Follow MarinStatsLectures Subscribe: https://goo.gl/4vDQzT website: https://statslectures.com Facebook:https://goo.gl/qYQavS Twitter:https://goo.gl/393AQG Instagram: https://goo.gl/fdPiDn Our Team: 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!