Announcing CGPfunctions 0.3 – April 20, 2018

April 19, 2018
By

(This article was first published on Chuck Powell, and kindly contributed to R-bloggers)

As I continue to learn and grow in using R I have been trying to develop
the habit of being more formal in documenting and maintaining the
various functions and pieces of code I write. It’s not that I think they
are major inventions but they are useful and I like having them stored
in one place that I can keep track of. So I started building them as a
package and even publishing them to CRAN. For any of you who might find
them of interest as well.

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")

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.

Leaving Feedback

If you like CGPfunctions, please consider leaving feedback
here
.

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.

To leave a comment for the author, please follow the link and comment on their blog: Chuck Powell.

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