18:14

Multivariable Logistic Regression in R: The Ultimate Masterclass (4K)!

12:53

Not Linear Relationship Between Numeric Predictor and Binary Outcome in Logistic Regression (4K)

12:09

Mastering Logistic Regression with Categorical Predictors: Always Positive Odds Ratios (4K)

16:07

Logistic Regression Basics Explained: Probabilities, Odds, Odds-Ratios and Log-Odds-Ratios (4K)

10:33

Exact Binomial Test Explained! + Real-World Example: Counting Trash in the Baltic Sea 📊🌊🔬(4K)

11:16

Data Reveals | How to be Successful and Happy | How to avoid being Poor and Unhappy (4K)

20:48

Multivariable Linear Regression in R: Everything You Need to Know!

18:11

9 FLAWS of ‘Summary’ Function You DIDN’T Know About and How to Fix Them

12:31

Master Simple Linear Regression with Numeric Predictor in R

18:28

Quantile Regression Reporting Made Easy: How to Create Stunning Plots and Tables in Minutes!

10:26

Make Multiplots Like a Pro with {patchwork} | R package reviews

16:56

Master Box-Violin Plots in {ggplot2} and Discover 10 Reasons Why They Are Useful

14:36

7 Reasons to Master Scatter Plots in {ggplot2} with World Happiness Data

08:34

Histograms and Density Plots with {ggplot2}

13:38

Bar Charts with {ggplot2}

02:15

Conditioning with {dplyr} Modify Your Data Quick

10:29

Join Tables with {dplyr}

04:31

Combine Tables with {dplyr}

13:17

Transform Your Data Like a Pro with {tidyr} and Say Goodbye to Messy Data!

17:35

Mastering {dplyr}: 50+ Data Wrangling Techniques!

08:01

Top 10 Must-Know {dplyr} Commands for Data Wrangling in R!

12:20

Don’t Ignore Interactions - Unleash the Full Power of Models with {emmeans} R-package

14:02

{emmeans} Game-Changing R-package Squeezes Hidden Knowledge out of Models!

14:02

Quantile Regression as The Most Useful Alternative for Ordinary Linear Regression

11:13

R package reviews {gtsummary} Publication-Ready Tables of Data, Statistical Tests and Models!

14:03

Effective Resampling for Machine Learning in Tidymodels {rsample} R package reviews

09:46

4 Reasons Non-Parametric Bootstrapped Regression (via tidymodels) is Better then Ordinary Regression

07:04

R demo | Many (Grouped / Nested) Models Simultaneously are Very Effective

04:40

R demo | Robust Regression (don't depend on influential data)

08:56

R package reviews | sjPlot | Easily Visualize Data And Model Results

07:44

R package reviews | report | Report Statistical Results of Tests, Models, Data!

13:27

R package reviews | glmulti | Find The Best Model !

11:46

Tidy Data and Why We Need It!

04:27

R demo | Kruskal-Wallis test + Post-Hoc | How to conduct, visualize, interpret & more 😉

08:35

R demo | ANOVA (One-Way) | Fisher’s, Welch’s, Bayesian, Robust | Conduct, visualise, interpret + 😉

05:31

R demo | Mann-Whitney U Test = Wilcoxon Rank Sum Test | How to conduct, visualise, interpret & more😉

07:59

R demo | Two-Samples t-Test | Student’s & Welch’s | How to conduct, visualise, interpret & more 😉

04:59

R demo | Cochran’s Q Test + Pairwise McNemar Tests (post-hoc)

04:44

R demo | McNemar Test | How to Conduct, Visualise and Interpret

05:29

R demo | Friedman Test | How to Conduct, Visualise and Interpret

07:12

R demo | Repeated Measures ANOVA (One-Way) | How to Conduct, Visualise and Interpret

06:19

R demo | Paired Samples t-Test | How to conduct, visualise and interpret

06:07

R demo | Paired Wilcoxon Signed Rank Test | How to conduct, visualise and interpret

04:56

R demo | Correlation Matrix | How to conduct, visualise and interpret

04:26

R demo | Correlation | Pearson, Spearman, Robust, Bayesian | How to conduct, visualise and interpret

05:31

R demo | One Sample T-Test & One Sample Wilcoxon Test | How to conduct, visualize and interpret

05:43

R demo | Chi-Square Test | How to conduct, visualize and interpret | + pairwise post-hoc tests

26:05

What is a P-value, why we need it and how to use it correctly (+ Type I Error & Type II Error)

16:43

Hypothesis Testing and why we need it

28:23

R demo | Deep Exploratory Data Analysis (EDA) | explore your data and start to test hypotheses

05:32

R demo | Automated Exploratory Data Analysis (EDA) Reports (with only 1 function for each report)

06:49

R demo | How to impute missing values with machine learning

17:13

R package reviews | dlookr | diagnose, explore and repair your data quick!

09:20

R package reviews | DataExplorer | explore your data quick!

08:26

How to create a blog or a website in R with {Distill} & continuously deploy via Github & Netlify

04:32

How to create a blog or a website in R with {Distill} package and manually deploy with {Netlify}

11:50

R package reviews | janitor | clean your data!

14:44

R package reviews | performance | Check ALL model assumptions at once! Check model quality!

23:52

R demo | How to visualize models Part 2 | non linear, logistic, multinomial, mixed effects, survival

33:11

R demo | How to visualize models Part 1 | multiple linear models, all assumptions & post-hocs