16:39
It's time for a statistics rant!!
28:23
Visualizing Mixed Models with Flexplot
21:11
Mathematical Notation for Mixed Models
15:06
Using lme4 in R for Mixed Models
17:30
Simple Explanation of Mixed Models (Hierarchical Linear Models, Multilevel Models)
15:13
Optimization Algorithms and Maximum Likelihood
12:58
Maximum Likelihood Explained by a 9-year-old
22:00
The most common mistake in biostatistics
22:57
Testing normality is pointless. Do this instead
23:21
Visual Partitions
25:45
Building Statistical Models From Visuals (Part II)
21:15
How to Visualize Data (Part 1)
19:53
It's lonely being a statistician :(
14:50
Dealing with nonlinear data: Polynomial regression and log transformations
15:28
Is pre-registration pointless? My talk to the Royal Society
05:01
Take a class with me at simplistics.net!
04:33
Want to take a stats class with me?
04:02
Professor writes a love song to statistics
04:27
Vlog: Do you want repeat content? A new song!
13:12
Are modern robust methods useless? (vlog)
18:21
Mixed Model Analysis: Real Example
13:57
Are nonparametric statistics useless?
16:38
THIS is the foundation of statistics!
22:08
Using Flexplot for Mixed Models
15:38
Fitting mixed models in R (with lme4)
06:17
How to identify your cluster variable in mixed models
15:50
Renaming variables with dplyr in R
06:25
Pivoting multiple variables: A simpler (more complex?) way
19:28
Wide to long format part 2 - Pivoting with multivariate data
09:32
Going from wide to long format in R - Pivoting to tidy data with the Tidyverse
18:04
Advanced dplyr practice in R
19:38
Practice with dplyr in R
10:55
Do we assume multicollinearity? No!
12:29
Creating sum scales in R - Using mutate and across in dplyr
05:24
Is this a controversial opinion about statistics?
17:45
Recoding and reverse coding variables in dplyr
13:37
How to use the pipe operator in dplyr
28:48
Introduction to Tidyverse in R - dplyr
12:23
The Basics of Flexplot in R
11:26
Modeling statistics in R (with lm)
28:03
Debugging Strategy for R
06:22
Three Ways to Import Data into RStudio
17:43
R Functions and R Documentation
13:09
Organizing Your R Scripts with R Studio
05:05
Downloading R and R Studio
05:37
Why you should abandon SPSS for R
05:18
I'm going to teach you R for Data Science
16:24
Solving a massive problem with scientific models: visualizing latent variables
11:33
How to decide whether an effect is fixed or random in mixed models
08:23
Easy way to extract estimates from mixed models
33:17
The Very Basics of R
11:22
How to do a mediation analysis in R...with visuals!
05:06
Installing R Packages
08:42
Gamma Regression in R
12:47
Generalized Mixed Models in R
06:40
Poisson Regression in R - With Flexplot
16:56
Robustness/Transformations in R
12:19
Logistic Regression in R - With Flexplot
20:19
Understanding Generalized Linear Models (Logistic, Poisson, etc.)
12:54
Robustness in Statistics
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