Load Packages

Load Packages

tidyverse

the tidyverse makes it easy to us to tidy, clean, manipulate, and rearrange our data.

https://www.rdocumentation.org/packages/tidyverse/versions/1.3.2

if (!require(tidyverse)){
  install.packages("tidyverse", dependencies = TRUE)
  require(tidyverse)
}

Loading required package: tidyverse

── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ──
✔ ggplot2 3.4.0      ✔ purrr   1.0.1 
✔ tibble  3.1.8      ✔ dplyr   1.0.10
✔ tidyr   1.2.1      ✔ stringr 1.5.0 
✔ readr   2.1.3      ✔ forcats 0.5.2 
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag()    masks stats::lag()

haven

Haven allows you to load foreign data formats (SAS, Spss and Stata) in to R by wrapping the fantastic ReadStat C library written by Evan Miller.

https://www.rdocumentation.org/packages/haven/versions/0.2.0

if (!require(haven)){
  install.packages("haven", dependencies = TRUE)
  require(haven)
}

Loading required package: haven

afex

Convenience functions for analyzing factorial experiments using ANOVA or mixed models. aov_ez(), aov_car(), and aov_4() allow specification of between, within (i.e., repeated-measures), or mixed (i.e., split-plot) ANOVAs for data in long format (i.e., one observation per row), automatically aggregating multiple observations per individual and cell of the design. mixed() fits mixed models using lme4::lmer() and computes p-values for all fixed effects using either Kenward-Roger or Satterthwaite approximation for degrees of freedom (LMM only), parametric bootstrap (LMMs and GLMMs), or likelihood ratio tests (LMMs and GLMMs). afex_plot() provides a high-level interface for interaction or one-way plots using ggplot2, combining raw data and model estimates.

https://www.rdocumentation.org/packages/afex/versions/0.26-0

if (!require(afex)){
  install.packages("afex", dependencies = TRUE)
  require(afex)
}

Loading required package: afex

Loading required package: lme4

Loading required package: Matrix

Attaching package: 'Matrix'

The following objects are masked from 'package:tidyr':

    expand, pack, unpack

************
Welcome to afex. For support visit: http://afex.singmann.science/

- Functions for ANOVAs: aov_car(), aov_ez(), and aov_4()
- Methods for calculating p-values with mixed(): 'S', 'KR', 'LRT', and 'PB'
- 'afex_aov' and 'mixed' objects can be passed to emmeans() for follow-up tests
- NEWS: emmeans() for ANOVA models now uses model = 'multivariate' as default.
- Get and set global package options with: afex_options()
- Set orthogonal sum-to-zero contrasts globally: set_sum_contrasts()
- For example analyses see: browseVignettes("afex")
************

Attaching package: 'afex'

The following object is masked from 'package:lme4':

    lmer

summarytools

summarytools provides users with functions to neatly and quickly summarize numerical and categorical data.

https://www.rdocumentation.org/packages/summarytools/versions/0.9.2/topics/summarytools-package

if (!require(summarytools)){
  install.packages("summarytools", dependencies = TRUE)
  require(summarytools)
}

Loading required package: summarytools

Warning in fun(libname, pkgname): couldn't connect to display ":0"

system might not have X11 capabilities; in case of errors when using dfSummary(), set st_options(use.x11 = FALSE)

Attaching package: 'summarytools'

The following object is masked from 'package:tibble':

    view

psych

A general purpose toolbox for personality, psychometric theory and experimental psychology.

https://www.rdocumentation.org/packages/psych/versions/2.2.9

if (!require(psych)){
  install.packages("psych", dependencies = TRUE)
  require(psych)
}

Loading required package: psych

Attaching package: 'psych'

The following objects are masked from 'package:ggplot2':

    %+%, alpha