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[![](https://img.shields.io/badge/CC-BY--NC%204.0-lightgray)](http://creativecommons.org/licenses/by-nc/4.0/)
[![](https://img.shields.io/badge/Language-R-blue)](http://cran.r-project.org/)

<sub>*Last updated 2020-12-06.*</sub>
<sub>*Last updated 2021-01-12.*</sub>

This Github repo contains all lesson files for *Practical Applications
in R for Psychologists*. The goal is to impart students with the basic
Expand All @@ -21,20 +21,20 @@ Research Methods for Psychologists*** (Psych Dep., Ben-Gurion University
of the Negev, *Fall semester, 2020*), laying the foundation for the
topic-focused courses (*Spring semester*):

- Hierarchical linear models (*HLM*).
- [Analysis of Factorial Designs
- Hierarchical linear models (*HLM*).
- [Analysis of Factorial Designs
(*ANOVA*)](https://github.com/mattansb/Analysis-of-Factorial-Designs-foR-Psychologists)
- [Structural equation modelling
- [Structural equation modelling
(*SEM*)](https://github.com/mattansb/Structural-Equation-Modeling-foR-Psychologists)
- Machine Learning (*ML*).
- Machine Learning (*ML*).

**Notes:**

- This repo contains only materials relating to *Practical
- This repo contains only materials relating to *Practical
Applications in R*. Though statistics are naturally discussed in
many lessons, the focus is generally on the application and not on
the theory.
- Please note that some code does not work *on purpose* and without
- Please note that some code does not work *on purpose* and without
warning, to force students to learn to debug.

## Setup
Expand All @@ -48,17 +48,17 @@ You will need:
3. The following packages, listed by lesson:

| Lesson | Packages |
| ----------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|-------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| [01 intro](/01%20intro) | |
| [02 data wrangling](/02%20data%20wrangling) | [**`haven`**](https://CRAN.R-project.org/package=haven), [**`tidyverse`**](https://CRAN.R-project.org/package=tidyverse), [**`readxl`**](https://CRAN.R-project.org/package=readxl), [**`dplyr`**](https://CRAN.R-project.org/package=dplyr), [**`parameters`**](https://CRAN.R-project.org/package=parameters), [**`summarytools`**](https://CRAN.R-project.org/package=summarytools), [**`psych`**](https://CRAN.R-project.org/package=psych), [**`DescTools`**](https://CRAN.R-project.org/package=DescTools), [**`finalfit`**](https://CRAN.R-project.org/package=finalfit), [**`Hmisc`**](https://CRAN.R-project.org/package=Hmisc), [**`mice`**](https://CRAN.R-project.org/package=mice) |
| [03 plotting](/03%20plotting) | [`dplyr`](https://CRAN.R-project.org/package=dplyr), [**`ggplot2`**](https://CRAN.R-project.org/package=ggplot2), [**`tidyr`**](https://CRAN.R-project.org/package=tidyr) |
| [04 hypothesis testing and power](/04%20hypothesis%20testing%20and%20power) | [`psych`](https://CRAN.R-project.org/package=psych), [**`effectsize`**](https://CRAN.R-project.org/package=effectsize), [**`BayesFactor`**](https://CRAN.R-project.org/package=BayesFactor), [**`pwr`**](https://CRAN.R-project.org/package=pwr), [`ggplot2`](https://CRAN.R-project.org/package=ggplot2) |
| [05 regression 101](/05%20regression%20101) | [`effectsize`](https://CRAN.R-project.org/package=effectsize), [`parameters`](https://CRAN.R-project.org/package=parameters), [**`performance`**](https://CRAN.R-project.org/package=performance), [**`ggeffects`**](https://CRAN.R-project.org/package=ggeffects), [**`psychTools`**](https://CRAN.R-project.org/package=psychTools) |
| [06 categorical predictors and model comparison](/06%20categorical%20predictors%20and%20model%20comparison) | [`dplyr`](https://CRAN.R-project.org/package=dplyr), [`parameters`](https://CRAN.R-project.org/package=parameters), [**`emmeans`**](https://CRAN.R-project.org/package=emmeans), [`ggeffects`](https://CRAN.R-project.org/package=ggeffects), [`BayesFactor`](https://CRAN.R-project.org/package=BayesFactor), [**`bayestestR`**](https://CRAN.R-project.org/package=bayestestR), [`performance`](https://CRAN.R-project.org/package=performance) |
| [07 moderation and curvilinear](/07%20moderation%20and%20curvilinear) | [`dplyr`](https://CRAN.R-project.org/package=dplyr), [`performance`](https://CRAN.R-project.org/package=performance), [`emmeans`](https://CRAN.R-project.org/package=emmeans), [`ggeffects`](https://CRAN.R-project.org/package=ggeffects), [**`interactions`**](https://CRAN.R-project.org/package=interactions), [`parameters`](https://CRAN.R-project.org/package=parameters), [`ggplot2`](https://CRAN.R-project.org/package=ggplot2) |
| [07 moderation and curvilinear](/07%20moderation%20and%20curvilinear) | [`dplyr`](https://CRAN.R-project.org/package=dplyr), [`parameters`](https://CRAN.R-project.org/package=parameters), [`performance`](https://CRAN.R-project.org/package=performance), [`emmeans`](https://CRAN.R-project.org/package=emmeans), [`ggeffects`](https://CRAN.R-project.org/package=ggeffects), [**`interactions`**](https://CRAN.R-project.org/package=interactions), [`ggplot2`](https://CRAN.R-project.org/package=ggplot2) |
| [08 generalized linear models](/08%20generalized%20linear%20models) | [`parameters`](https://CRAN.R-project.org/package=parameters), [`performance`](https://CRAN.R-project.org/package=performance), [`ggeffects`](https://CRAN.R-project.org/package=ggeffects), [`emmeans`](https://CRAN.R-project.org/package=emmeans) |
| [09 assumption checks and violations](/09%20assumption%20checks%20and%20violations) | [`ggeffects`](https://CRAN.R-project.org/package=ggeffects), [`performance`](https://CRAN.R-project.org/package=performance), [**`ggResidpanel`**](https://CRAN.R-project.org/package=ggResidpanel), [`parameters`](https://CRAN.R-project.org/package=parameters), [**`permuco`**](https://CRAN.R-project.org/package=permuco), [**`insight`**](https://CRAN.R-project.org/package=insight) |
| [10 ANOVA](/10%20ANOVA) | [**`afex`**](https://CRAN.R-project.org/package=afex), [`emmeans`](https://CRAN.R-project.org/package=emmeans), [`effectsize`](https://CRAN.R-project.org/package=effectsize), [`tidyr`](https://CRAN.R-project.org/package=tidyr) |
| [10 ANOVA](/10%20ANOVA) | [**`afex`**](https://CRAN.R-project.org/package=afex), [`emmeans`](https://CRAN.R-project.org/package=emmeans), [`effectsize`](https://CRAN.R-project.org/package=effectsize), [`tidyr`](https://CRAN.R-project.org/package=tidyr), [**`car`**](https://CRAN.R-project.org/package=car), [`parameters`](https://CRAN.R-project.org/package=parameters) |
| [11 mediation](/11%20mediation) | [**`mediation`**](https://CRAN.R-project.org/package=mediation) |

<sub>*(Bold denotes the first lesson in which the package was
Expand All @@ -69,7 +69,7 @@ You can install all the packages used by running:
# in alphabetical order:

pkgs <- c(
"afex", "BayesFactor", "bayestestR", "DescTools", "dplyr",
"afex", "BayesFactor", "bayestestR", "car", "DescTools", "dplyr",
"effectsize", "emmeans", "finalfit", "ggeffects", "ggplot2",
"ggResidpanel", "haven", "Hmisc", "insight", "interactions",
"mediation", "mice", "parameters", "performance", "permuco",
Expand All @@ -79,36 +79,39 @@ You can install all the packages used by running:
install.packages(pkgs, dependencies = TRUE)

<details>

<summary><i>Package Versions</i></summary> The package versions used
here:

- `afex` 0.28-0 (*CRAN*)
- `BayesFactor` 0.9.12-4.2 (*CRAN*)
- `bayestestR` 0.8.0 (*CRAN*)
- `DescTools` 0.99.38 (*CRAN*)
- `dplyr` 1.0.2 (*CRAN*)
- `effectsize` 0.4.1 (*Dev*)
- `emmeans` 1.5.2-1 (*CRAN*)
- `finalfit` 1.0.2 (*CRAN*)
- `ggeffects` 0.16.0 (*CRAN*)
- `ggplot2` 3.3.2 (*CRAN*)
- `ggResidpanel` 0.3.0 (*CRAN*)
- `haven` 2.3.1 (*CRAN*)
- `Hmisc` 4.4-1 (*CRAN*)
- `insight` 0.11.0 (*CRAN*)
- `interactions` 1.1.3 (*CRAN*)
- `mediation` 4.5.0 (*CRAN*)
- `mice` 3.11.0 (*CRAN*)
- `parameters` 0.10.0 (*CRAN*)
- `performance` 0.6.0 (*CRAN*)
- `permuco` 1.1.0 (*CRAN*)
- `psych` 2.0.9 (*CRAN*)
- `psychTools` 2.0.8 (*CRAN*)
- `pwr` 1.3-0 (*CRAN*)
- `readxl` 1.3.1 (*CRAN*)
- `summarytools` 0.9.6 (*CRAN*)
- `tidyr` 1.1.2 (*CRAN*)
- `tidyverse` 1.3.0 (*CRAN*)
<summary>
<i>Package Versions</i>
</summary>

The package versions used here:

- `afex` 0.28-0 (*CRAN*)
- `BayesFactor` 0.9.12-4.2 (*CRAN*)
- `bayestestR` 0.8.0.1 (*Dev*)
- `car` 3.0-10 (*CRAN*)
- `DescTools` 0.99.39 (*CRAN*)
- `dplyr` 1.0.2 (*CRAN*)
- `effectsize` 0.4.1.2 (*Dev*)
- `emmeans` 1.5.2-1 (*CRAN*)
- `finalfit` 1.0.2 (*CRAN*)
- `ggeffects` 1.0.1 (*Dev*)
- `ggplot2` 3.3.2 (*CRAN*)
- `ggResidpanel` 0.3.0 (*CRAN*)
- `haven` 2.3.1 (*CRAN*)
- `Hmisc` 4.4-2 (*CRAN*)
- `insight` 0.11.1.1 (*Dev*)
- `interactions` 1.1.3 (*CRAN*)
- `mediation` 4.5.0 (*CRAN*)
- `mice` 3.12.0 (*CRAN*)
- `parameters` 0.10.1.1 (*Dev*)
- `performance` 0.6.0 (*CRAN*)
- `permuco` 1.1.0 (*CRAN*)
- `psych` 2.0.9 (*CRAN*)
- `psychTools` 2.0.8 (*CRAN*)
- `pwr` 1.3-0 (*CRAN*)
- `readxl` 1.3.1 (*CRAN*)
- `summarytools` 0.9.6 (*CRAN*)
- `tidyr` 1.1.2 (*CRAN*)
- `tidyverse` 1.3.0 (*CRAN*)

</details>

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