Learn R Programming

Rtrack

The Rtrack package

Rtrack is a package to process raw spatial tracking data (such as from the Morris water maze or open field tests) and calculate behavioural strategies. The strategy analysis is performed in a parameter-free manner using pre-trained machine learning models. This makes analysis both fast and reproducible. In addition, the package includes several plotting functions, tools to aid advanced analysis, and export functions for results and raw data.

The export of raw data in a standardised format allows complete experiments to be archived and shared.

Install

The package is available from the CRAN repository. To install it (currently version 2.0.2), run the following line in R.

install.packages("Rtrack") 

Getting started

To get started using Rtrack, it is recommended to work through the tutorials

Copy Link

Version

Install

install.packages('Rtrack')

Monthly Downloads

228

Version

2.0.3

License

GPL-3

Issues

Pull Requests

Stars

Forks

Maintainer

Rupert Overall

Last Published

December 11th, 2023

Functions in Rtrack (2.0.3)

Rtrack-package

Rtrack: Spatial Navigation Strategy Analysis
calculate_metrics

Calculation of spatial search path metrics.
export_data

Export experiment data to a trackxf file.
plot_path

Plot a path.
call_strategy

Calculation of search strategies.
read_path

Read path coordinates from raw data formats.
read_arena

Read an arena description.
threshold_strategies

Subset an rtrack_strategies object.
plot_density

Plot a path density map.
identify_track_format

Check the format of a track file.
export_results

Export experiment results to a dataframe or file.
check_experiment

Check experiment data.
plot_strategies

Plot water maze strategies.
read_experiment

Read experiment data.
plot_variable

Plot path metrics.