12:10

Quarto visual editor [Part 5]

05:48

RStudio Working with Code: Part 6

07:07

RStudio Working with Code: Part 5

06:47

RStudio Working with Code: Part 4

08:44

RStudio Working with Code: Part 3

14:08

RStudio Working with Code: Part 2

07:41

RStudio Working with Code: Part 1

08:03

Customizing Rstudio

05:53

RStudio cloud workflow

13:19

Quarto visual editor [Part 2]

10:39

Quarto visual editor [Part 3]

04:28

Quarto visual editor [Part 4]

10:20

Quarto visual editor [Part 1]

01:44

Milton's Meditation: Avoiding Distractions

08:16

R Studio desktop workflow (2022)

16:45

Using the adventr and discovr interactive tutorials for R

02:55

Installing Quarto

13:45

Creating reports using RMarkdown (Part I)

10:10

Equations in RMarkdown (LaTeX)

59:05

Repeated measures as a multilevel model

01:04

Milton's Meditations: The Meaning of Life

00:48

The Sphericity Song

02:30

The F-Statistic Song

02:24

Logistic regression song

01:43

The Normality Song

00:50

The Heteroscedasticity Song

01:00:09

Growth models

01:00:25

Logistic regression (categorical outcomes)

57:28

Mixed deisgns

01:01:02

Multilevel models

59:51

Repeated measures (afex)

57:03

Factorial Designs

54:04

Comparing means adjusted for other predictors (analysis of covariance)

54:35

Contrast coding

50:50

Categorical predictors (comparing means)

50:17

The Beast of Bias

52:20

GLM: Model fit and multiple predictors

56:31

Effect sizes and Bayes factors

54:09

Null Hypothesis Significance Testing

51:02

The standard error and confidence intervals

53:38

Lecture 01: The General Linear Model

16:20

Using the adventr and discovr interactive tutorials for R

08:31

R Markdown - formatting tables with kable() and kableExtra

17:12

Getting data into RStudio

19:47

RStudio basics of R Markdown

15:51

RStudio: Installing and loading packages and here()

19:20

RStudio workflow

08:48

R Studio tour

06:13

Installing R and RStudio

00:30

Fuzzy (RIP) dancing

46:28

Logistic regression

07:53

The Standard error of model parameters (b-values)

06:04

The Essentials for R Plugin for IBM SPSS Statistics

00:10

Ramsey (The Dog) Ball Skills

00:25

The new addition to Team Field

17:24

SPSS Automatic Linear Modeling

34:22

Moderation and Mediation

25:50

Factor Analysis/PCA

16:15

MANOVA (Multivariate Analysis of Variance)

13:55

The Central Limit Theorem