+34 3432039232 moreno.coco.i@gmail.com

Sharing codes and know-how is what really makes science move fast.

Together with other collaborators, we develop statistical software, mostly in the R programming language,
to facilitate the life of other researchers having to perform similar analyses.

crqa: Cross-Recurrence Quantification Analysis for Categorical and Continuous Time-Series
See packages

Cross-recurrence quantification analysis of two time-series, of either categorical or continuous values. It provides different methods for profiling cross-recurrence, i.e., only looking at the diagonal recurrent points, as well as more in-depth measures of the whole cross-recurrence plot, e.g., recurrence rate. A tutorial we delivered at the Annual Conference of the Cognitive Science Society, 2015. And the statistics of download from Rdocumentation.

mousetrack: Mouse-Tracking Measures from Trajectory Data
See packages

Extract from two-dimensional x-y coordinates of an arm-reaching trajectory, several dependent measures such as area under the curve, latency to start the movement, x-flips, etc.; which characterise the action-dynamics of the response. Mainly developed to analyse data coming from mouse-tracking experiments.

Explaining and replicating are core principles of science

In the interest of sharing my experimental data and methodology for broader interrogation, below you can find part of the data, and stimulus material,
from my published studies. There is also a link to brief pages explaining how to obtain the main results of such studies.

Scan patterns predict sentence production: 

Coco and Keller, Cognitive Science 2012, demonstrates that responses across modalities are similarly coordinated.

This paper featured in the New Scientist and BBC Mundo Task

Classification using eye-movement features

Coco and Keller, Journal of Vision,  2014 demonstrates that eye-movement features can be used to accurately classify the task out of which such responses are collected.