GitPlanet

Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

Created with love in Canada, visit hostnodejs.com today

Feel like to post an Ad? Learn Details
All Projects → PascalKieslich → mousetrap

PascalKieslich / mousetrap

Licence: GPL-3.0 license
Process and Analyze Mouse-Tracking Data

Programming Languages

r
7636 projects
C++
36643 projects - #6 most used programming language

Labels

visualizationanalysisclusteringmouse-tracking

Projects that are alternatives of or similar to mousetrap

Msmbuilder
🏗 Statistical models for biomolecular dynamics 🏗
Stars: ✭ 118 (+257.58%)
Mutual labels:  analysis, clustering
Stringlifier
Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.
Stars: ✭ 85 (+157.58%)
Mutual labels:  analysis, clustering
hotspot3d
3D hotspot mutation proximity analysis tool
Stars: ✭ 43 (+30.3%)
Mutual labels:  analysis, clustering
Awesome Single Cell
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
Stars: ✭ 1,937 (+5769.7%)
Mutual labels:  analysis, clustering
mongo-replica-with-docker
How to deploy a MongoDB Replica Set using Docker
Stars: ✭ 105 (+218.18%)
Mutual labels:  clustering
covid19analysis
COVID-10 Analysis
Stars: ✭ 16 (-51.52%)
Mutual labels:  analysis
pathpy
pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models
Stars: ✭ 124 (+275.76%)
Mutual labels:  analysis
jacoco-report
Github action that publishes the JaCoCo report as a comment in the Pull Request
Stars: ✭ 31 (-6.06%)
Mutual labels:  analysis
MixingBear
Package for automatic beat-mixing of music files in Python 🐻🎚
Stars: ✭ 73 (+121.21%)
Mutual labels:  analysis
tika-similarity
Tika-Similarity uses the Tika-Python package (Python port of Apache Tika) to compute file similarity based on Metadata features.
Stars: ✭ 92 (+178.79%)
Mutual labels:  clustering
hypothetical
Hypothesis and statistical testing in Python
Stars: ✭ 49 (+48.48%)
Mutual labels:  analysis
kmeans
A simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python
Stars: ✭ 18 (-45.45%)
Mutual labels:  clustering
TwitterSearch2Gephi
This windows CLI app lets you collect data from twitter via REST API and convert it into a CSV data set that can be used with Gephi. Other social networks (Reddit, Youtube, WWW) are also supported.
Stars: ✭ 21 (-36.36%)
Mutual labels:  analysis
influxdb-ha
High-availability and horizontal scalability for InfluxDB
Stars: ✭ 45 (+36.36%)
Mutual labels:  clustering
PyPHLAWD
Python version of PHLAWD
Stars: ✭ 16 (-51.52%)
Mutual labels:  clustering
T-CorEx
Implementation of linear CorEx and temporal CorEx.
Stars: ✭ 31 (-6.06%)
Mutual labels:  clustering
color cloth
color_cloth gets the main colors and its proportions from a cloth image ignoring the background, it uses the EM algorithm from OpenCV library, the algorithm needs an image with an item in the center of the picture.
Stars: ✭ 20 (-39.39%)
Mutual labels:  clustering
pingnoo
An open-source cross-platform traceroute/ping analyser.
Stars: ✭ 149 (+351.52%)
Mutual labels:  analysis
mousecase
A JavaScript utility enabling horizontal dragging on mousedown events 🖱
Stars: ✭ 35 (+6.06%)
Mutual labels:  mouse-tracking
story-generator
Budget Visualization Tool to explore and analyse major fiscal indicators across various states in India
Stars: ✭ 17 (-48.48%)
Mutual labels:  analysis
View All Similar Projects ➔

mousetrap

cran version DOI downloads

Mouse-tracking, the analysis of mouse movements in computerized experiments, is a method that is becoming increasingly popular in the cognitive sciences. The mousetrap package offers functions for importing, preprocessing, analyzing, aggregating, and visualizing mouse-tracking data.

General Information

The mousetrap package is developed by Pascal Kieslich, Dirk Wulff, Felix Henninger, and Jonas Haslbeck. It is published under the GNU General Public License (version 3).

An overview of the functions in this package can be found online. It can also be accessed from within R using ?mousetrap once the package has been loaded. Please see news for a summary of changes in the package. Questions about using mousetrap can be asked in the forum.

The mousetrap package offers functions for importing mouse-tracking data in different formats and from various sources. One option to collect mouse-tracking data is by using the open-source graphical experiment builder OpenSesame in combination with the mousetrap-os plugin.

Installation

The current stable version is available on CRAN and can be installed via install.packages("mousetrap").

To install the latest development version from GitHub, you need the devtools package . The development version can be installed via devtools::install_github("pascalkieslich/mousetrap@master").

Questions

Questions about using mousetrap can be asked in the forum.

Citation

If you use the mousetrap package in your published research, we kindly ask that you cite the associated preprint:

Wulff, D. U., Kieslich, P. J., Henninger, F., Haslbeck, J. M. B., & Schulte-Mecklenbeck, M. (2021). Movement tracking of cognitive processes: A tutorial using mousetrap. PsyArXiv. https://doi.org/10.31234/osf.io/v685r

Acknowledgments

We thank Johanna Hepp for helpful comments on the documentation of this package and Monika Wiegelmann for testing a development version. This work was supported by the University of Mannheim’s Graduate School of Economic and Social Sciences, which is funded by the German Research Foundation.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].