README.Rmd

---
title: "tourr: tour methods for multivariate data visualisation"
author: "Hadley Wickham, Di Cook, Nick Spyrison, Ursula Laa, H. Sherry Zhang, Stuart Lee"
date: "<br> `r format(Sys.time(), '%B %d, %Y')`"
output: github_document
---

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

```{r setup, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# tourr <img src="man/figures/logo.png" align="right" width="150" />

The goal of tourr is to explore shapes of high-dimensional data. This code also allows new tour methods to be created that utilise geodesic interpolation and basis generation functions.


## Installation

You can install the released version of tourr from [CRAN](https://CRAN.R-project.org) with:

``` r
install.packages("tourr")
```

You can install the development version of tourr from github with:

``` r
# install.packages("remotes")
remotes::install_github("ggobi/tourr")
```

## Example

To run a tour in R, use one of the animate functions. This code will show a 2D tour displayed as a scatterplot on a 6D data set with three labelled classes. 

``` r
animate_xy(flea[,-7], col=flea$species)
```

## Resources

The best place to get started is the [Journal of Statistical Software paper](https://www.jstatsoft.org/article/view/v040i02).