README.Rmd

---
output:
  md_document:
    variant: markdown_github
---

<!-- README.md is generated from README.Rmd. Please edit that file -->

```{r, echo = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "README-"
)
```
# itns
### Datasets for the book *Introduction to the New Statistics*

[![Travis-CI Build Status](https://travis-ci.org/gitrman/itns.svg?branch=master)](https://travis-ci.org/gitrman/itns)

This R package contains datasets from psychology studies 
used in book  [Introduction to the New Statistics](http://www.thenewstatistics.com) 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](http://routledgetextbooks.com/textbooks/9781138825529/).  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:

```{r eval=FALSE}
 library(devtools)
 install_github("gitrman/itns")
```

# Documentation
You can read the tutorial [Getting Started with the New Statistics in R](https://github.com/gitrman/itns/raw/master/workbook/itns_r_intro_for_website.pdf), 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](https://github.com/gitrman/itns/raw/master/workbook/itns-manual.pdf).

#References

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

www.thenewstatistics.com