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Скачать или смотреть Logic Statements (TRUE/FALSE), cbind and rbind Functions in R | R Tutorial 1.10| MarinStatsLectures

  • MarinStatsLectures-R Programming & Statistics
  • 2013-08-08
  • 194715
Logic Statements (TRUE/FALSE), cbind and rbind Functions in R | R Tutorial 1.10| MarinStatsLectures
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Описание к видео Logic Statements (TRUE/FALSE), cbind and rbind Functions in R | R Tutorial 1.10| MarinStatsLectures

Logic statements (TRUE/FALSE) and cbind and rbind Functions in R: Learn how R functions can be used to identify if observations have certain attributes, and return a true/false indicator for them, depending on if the attributes are present or not. Find the Free Dataset here: (https://bit.ly/2rOfgEJ) ; 👍🏼Best Statistics & R Programming Language Tutorials: ( 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 Like or Write us a Review! Either way We Thank You!

■Table of Content:

0:00:48 how to create a logical vector or variable in R Statistical Software
0:01:15 how to turn True or False indicators into 0's and 1's in R using "as.numeric" function
0:01:55 how to use multiple logical statements within an R command/function to have a logical vector answering multiple questions (step by step example)
0:02:50 how to attach vectors or matrices in a column-wise fashion using the "cbind" function or in a row-wise fashion using the "rbind" function in R
0:03:43 two different ways of cleaning R's workspace: using RStudio's menu or "rm" command/function

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


► ► 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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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!

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