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R Programming 101
R Programming 101
Latest Videos
Create fantastic tables using gtExtras in R.
Plotly for 3d and interactive plots in R
Animations in R with gganimate
Start a project in R Studio
R programming using the tidyverse packages
Multiple regression analysis - effect modifiers and interactions
Multiple regression - making sure that your assumptions are met
Today I learned in R Quarto books
Multiple regression. How to deal with Outliers and Colliniarity
Simple Linear Regression.
Multiple regression how to select variables for your model
Adding variables to your multiple regression model
Multiple Regression from beginning to end in 30 minutes.
Quarto - tips and tricks
Lubridate - how to manipulate date and time data in R
What is a linear model ?
Loops using R programming
Simple linear regression with #rprogramming
Quarto - replacing R Markdown in R Studio.
8 September 2023
8 September 2023
5 September 2023
The dim function in R programming
R programming - using “select” #rprogramming
R programming made easy
Titles and Annotations with ggplot
Today I learned in R magic wand & advanced piping
Using R programming to manage categorial variables or factors using the forcats package
Advanced ggplot - using facets
Ggplot - using geometries
Ggplot Colors - how to use colors effectively when creating plots with ggplot2
Ggsave - save your ggplot plots
Advanced ggplot #2 - create beautiful plots and graphs using R programming.
Advanced ggplot episode #1
R programming for beginners Select filter and fill functions within the tidyverse
Lollipop Graph using ggplot.
Separate and Unite - manipulate your data with R programming
Group by and Summarise functions in R programming - use the tidyverse package to wrangle your data
Error Bars using R programming
Chi squared test using R programming
ANOVA using R programming.
Encircled observations - use ggplot and ggalt to create great plots and data visualization.
Today I learned in R - native pipes and the cut function
R programming - What we learned today. Episode 1
Why we love using R programming for data analysis
Doing a t-test using R programming in 4 minutes
R programming for beginners. Manipulate data using the tidyverse select filter and mutate #short
Working with factors and categorical variables #short
R programming for beginners. Manipulate data using the tidyverse select filter and mutate #short
ANOVA using R programming #short