Multiple regression analysis - effect modifiers and interactions

Multiple regression - making sure that your assumptions are met

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

Loops using R programming

Quarto - replacing R Markdown in R Studio.

Titles and Annotations with ggplot

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.

Doing a t-test using R programming (in 4 minutes)

Working with factors and categorical variables. Use forcats in R programming to change factor levels

R programming for ABSOLUTE beginners