Statistics and Statistics with R Tutorials (All Videos) | MarinStatsLectures - Calculating Mean, Standard Deviation, Frequencies and More in R | R Tutorial 2.8| MarinStatsLectures

Calculating Mean, Standard Deviation, Frequencies, Quantiles and Percentiles and More in R (Descriptive Statistics with R): How to produce numeric summaries for both categorical and numerical variables in R. Free Practice Dataset (LungCapData): (https://bit.ly/2rOfgEJ); 👉🏼Standard deviation concept video (https://youtu.be/nlm9gfso4mw); Mean, Median and Mode concept video: (https://youtu.be/2pyq0TJmpzs ); 👍🏼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, Give us a Like or Write us a Review! Either way, We Thank You! In this R video tutorial, we will learn how to produce numeric summaries for both categorical and numerical variables in R. This tutorial explains: • How to create frequency tables in R • How to create contingency tables in R • How to calculate mean, median, variance, and standard deviation in R • How to calculate Pearson’s correlation in R • How to calculate Spearman’s correlation with R • How to calculate the minimum, maximum and range in R, • How to calculate specific quantiles or percentiles in R • How to calculate the covariance in R Table of Content: 0:00:36 how to access the Help menu in R for any of the functions/commands 0:00:52 how to summarize a categorical variable in R 0:00:58 how to produce a "frequency table" in R to summarize a categorical variable using "table" function 0:01:10 how to express the "frequency table" in R using proportions 0:01:18 how to ask R for the number of observations using the "length" function 0:01:51 how to produce a "two-way table" or "contingency table" in R to summarize a categorical variable using "table" function 0:02:09 how to calculate the mean and trimmed mean in R to summarize a numeric variable using "mean" command and "trim" argument 0:02:37 how to calculate the "median" in R to summarize a numeric variable using the "median" function 0:02:45 how to calculate the variance in R to summarize a numeric variable using "var" function 0:02:54 how to calculate the "standard deviation" in R to summarize a numeric variable using the "sd" or "sqrt" functions (taking the square root of variance) 0:03:23 how to calculate the minimum, maximum and range in R to summarize a numeric variable using "min", "max" and "range" function 0:03:45 how to calculate specific quantiles or percentiles in R using the "quantile" function and "probs" argument 0:04:53 how to calculate "Pearson's correlation" in R to summarize a numerical variable using the "cor" function 0:05:10 how to calculate "Spearman's correlation" in R to summarize a numerical variable using the "cor" function and "method" argument 0:05:22 how to calculate the covariance in R using the "cov" or "var" function 0:05:43 how to summarize all data (both numeric and categorical) in R using the "summary" function These video tutorials are useful for anyone interested in learning data science and statistics with R programming language 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 ►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 statistics courses at the University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials ), 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! #statistics #rprogramming