Code Monkey home page Code Monkey logo

itns's Introduction

itns

Datasets for the book Introduction to the New Statistics

Travis-CI Build Status

This R package contains datasets from psychology studies used in book Introduction to the New Statistics by Geoff Cumming and Robert Calin-Jageman, published by Routledge in late 2016. It also contains a function to compute Cohen's d effect size and a confidence interval for paired samples.

The original source of the datasets is a series of Excel files found on the Introduction to the New Statistics publisher companion website. Those Excel files have been converted to R data frames and bundled together in the itns package. The datasets can be used to replicate analyses that appear in Introduction to the New Statistics, and to work through the book's end-of-chapter exercises.

Installation

itns is not currently on CRAN, but you can install it from github using the devtools package:

 library(devtools)
 install_github("gitrman/itns")

Documentation

You can read the tutorial Getting Started with the New Statistics in R, which provides an overview of the itns package, as well as other R packages and functions that can be used to conduct the analyses covered in Introdudction to the New Statistics.

You can also download a PDF version of the package manual.

References

Cumming, G., & Calin-Jageman, R. (2017). Introduction to the New Statistics. New York; Routledge.

www.thenewstatistics.com

itns's People

Contributors

gitrman avatar

Stargazers

Katherine von Duyke avatar Stephen Karl Larroque avatar Dilnoor avatar

Watchers

James Cloos avatar Katherine von Duyke avatar  avatar

itns's Issues

Document meta-analysis .rda files

Meta analysis chapter .rda files have been generated and are currently sitting in the exclude_for_now subfolder, but they have not yet been documented

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.