Learn R in 39 minutes

Introduction to Longitudinal Data Analysis. The Easiest Explanation with R Examples.

Statistics using R programming | Test for Normality and Equal Variance in ANOVA using R

Performing principal coordinate analysis (PCoA) in R and visualizing with ggplot2 (CC186)

Exploring Data with R (1.10- Position Adjustments [Part 2]) #ggplot2 #tidyverse #rstats

Exploring Data with R (1.11- Coordinate Systems) #ggplot2 #tidyverse #rstats

Exploring Data with R (1.9- Position Adjustments [part 1]) #ggplot2 #tidyverse #rstats

Exploring Data with R (1.4- Facets) #ggplot2 #tidyverse #rstats

Exploring Data with R (1.3- Aesthetic Mappings) #ggplot2 #tidyverse #rstats

Rafal Lukawiecki #MachineLearning and #DataScience 5-day courses on #AzureML #R #rstats & #SQLServer

Data wrangling with R in 27 minutes

Exploring Data with R (1.12- The layered Grammar of Graphics) #rstats #ggplot2 #tidyverse

AI Live360 Data Visualization using R and RStudio #RStats

Exploring Data with R (Introduction) #ggplot2 #tidyverse #rstats

An Introduction to R Shiny : 101 #rladies #rstats #rstudio #datascience #webdesign

#dplyr #rstats Mastering Data Cleaning and Transformation with dplyr: A Comprehensive Guide

Exploring Data with R (1.6 ggplot2 Exercises) #ggplot2 #tidyverse #rstats

Nicola Rennie: Finding #RStats resources with Shiny and GitHub Actions

Making an RMarkdown template in a package #rstats

R Programming: What does the Pipe Operator do? #R #rstats #tidyverse

Calculating Descriptive Statistics of Data in R

Exploring Data with R (2.3- Comparison & Boolean Operators) #rstats #dplyr #tidyverse #datawrangling

Exploring Data with R (2.2- the `filter()` function) #rstats #dplyr #tidyverse #datawrangling

Exploring Data with R (2.1- Data Transformation) #rstats #dplyr #tidyverse #datawrangling

20170609 This year in #rstats