/CGPfunctions

Powell Miscellaneous Functions for Teaching and Learning Statistics

Primary LanguageROtherNOASSERTION

CRAN Version

Overview

A package that includes functions that I find useful for teaching statistics as well as actually practicing the art. They typically are not “new” methods but rather wrappers around either base R or other packages and concepts I’m trying to master. Currently contains:

  • Plot2WayANOVA which as the name implies conducts a 2 way ANOVA and plots the results using ggplot2
  • PlotXTabs which as the name implies plots cross tabulated variables using ggplot2
  • neweta which is a helper function that appends the results of a Type II eta squared calculation onto a classic ANOVA table
  • Mode which finds the modal value in a vector of data
  • SeeDist which wraps around ggplot2 to provide visualizations of univariate data.
  • OurConf is a simulation function that helps you learn about confidence intervals

Installation

# Install from CRAN
install.packages("CGPfunctions")

# Or the development version from GitHub
# install.packages("devtools")
devtools::install_github("ibecav/CGPfunctions")

Usage

library(CGPfunctions) will load the package which contains 4 functions:

SeeDist will give you some plots of the distribution of a variable using ggplot2

Mode is a helper function that simply returns one or more modal values

neweta is a helper function which returns a tibble containing AOV output similar to summary(aov(MyAOV)) but with eta squared computed and appended as an additional column

The Plot2WayANOVA function conducts a classic analysis using existing R functions and packages in a sane and defensible manner not necessarily in the one and only manner.

OurConf is a simulation function that helps you learn about confidence intervals

Credits

Many thanks to Dani Navarro and the book > (Learning Statistics with R) whose etaSquared function was the genesis of neweta.

“He who gives up safety for speed deserves neither.” (via)

A shoutout to some other packages I find essential.

  • stringr, for strings.
  • lubridate, for date/times.
  • forcats, for factors.
  • haven, for SPSS, SAS and Stata files.
  • readxl, for .xls and .xlsx files.
  • modelr, for modelling within a pipeline
  • broom, for turning models into tidy data
  • ggplot2, for data visualisation.
  • dplyr, for data manipulation.
  • tidyr, for data tidying.
  • readr, for data import.
  • purrr, for functional programming.
  • tibble, for tibbles, a modern re-imagining of data frames.

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Contributing

Contributions in the form of feedback, comments, code, and bug reports are most welcome. How to contribute:

  • Issues, bug reports, and wish lists: File a GitHub issue.
  • Contact the maintainer ibecav at gmail.com by email.