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): (bit.ly/2rOfgEJ); 👉🏼Standard deviation concept video (youtu.be/nlm9gfso4mw); Mean, Median and Mode concept video: (youtu.be/2pyq0TJmpzs ); 👍🏼Best Statistics & R Programming Language Tutorials: ( goo.gl/4vDQzT ) ►► Like to support us? You can Donate (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: 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
►Linear Regression Concept and with R Lectures bit.ly/2z8fXg1

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