Install R packages relevant for the book 'R for Non-Programmers: A Guide for Social Scientists'.

Source: R/install_r4np.R

Install R packages relevant for the book 'R for Non-Programmers: A Guide for Social Scientists'.

install_r4np()

Details

Installs the following R packages at once:

  • broom: Turns output from functions into tibbles.

  • car: Interpret regression results

  • correlation: Lightweight package for computing different kinds of correlations, such as partial correlations, Bayesian correlations, multilevel correlations, polychoric correlations, biweight correlations, distance correlations and more.

  • effectsize: Provide utilities to work with indices of effect size and standardized parameters for a wide variety of models, allowing computation of and conversion between indices such as Cohen's d, r, odds, etc.

  • exact2x2: Provides a function to compute the exact McNemar Test.

  • ggdist: ggplot2 extension to plot uncertainty and frequencies.

  • ggforce: ggplot2 extension to plot even more geoms.

  • ggmosaic: Creates mosiac plots with ggplot2. Useful when visualising contingency tables

  • ggraph: Used to build network graphs

  • ggridges: ggplot2 extension to build ridge plots

  • janitor: The main janitor functions can: perfectly f ormat data.frame column names; provide quick counts of variable combinations (i.e., frequency tables and crosstabs); and isolate duplicate records.

  • jtools: This is a collection of tools that the author (Jacob) has written for the purpose of more efficiently understanding and sharing the results of (primarily) regression analyses.

  • lavaan: Fit a variety of latent variable models, including confirmatory factor analysis, structural equation modeling and latent growth curve models.

  • igraph: Used in combination with ggraph to create network plots

  • mice: Multiple imputation using Fully Conditional Specification (FCS) implemented by the MICE algorithm as described in Van Buuren and Groothuis-Oudshoorn (2011).

  • mi: Provides functions for data manipulation, imputing missing values in an approximate Bayesian framework, diagnostics of the models used to generate the imputations, etc.

  • modelr: Build pipefriendly operations to model data.

  • naniar: Provides data structures and functions that facilitate the plotting of missing values and examination of imputations.

  • parameters: Returns parameters from regression models.

  • patchwork: Combine different ggplots into one plot.

  • performance: Returns performance indices for regression models

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

  • pwr: Compute the statistical power of different analytical approaches

  • rcompanion: Additional functions, such as for effect sizes.

  • rstatix: A pipe-friendly way of computing various common statistics.

  • scales: Useful functions to format ggplot axes.

  • see: Enables visualising output from easystats packages.

  • simputation: Offer imputation methods for missing data.

  • skimr: A simple to use summary function that can be used with pipes and displays nicely in the console.

  • tidyverse: Install the core tidyverse packages.

  • wesandersonColour palettes inspired by Wes Anderson movies for ggplot2

Examples

if (FALSE) {
# Run this line of code to install all relevant packages
install_r4np()
}