Description: A graphical tool designed to visualize and to give an overview of behavioural observations realized on individuals or groups. Visualization of raw data during experimental observations of the realization of a procedure. It graphically presents an overview of individuals and group actions usually acquired from timestamps during video recorded sessions. Options of the package allow adding graphical information as statistical indicators (mean, standard deviation, quantile or statistical test) but also for each action green or black zones providing visual information about the accuracy of the realized actions.

Title: A Visual Tool for Behavior Analysis
person("Nastasia", "Fouret", , "nastasia.fouret@gmail.com", c("aut", "cph")),
person("Elodie", "Garnier", , "elodie.garnier@chu-reunion.fr", c("aut", "cre", "cph")),
Description: A graphical tool designed to visualize and to give an overview of behavioral observations realized on individuals or groups. Visualization of raw data during experimental observations of the realization of a procedure. It graphically presents an overview of individuals and group actions usually acquired from timestamps during video recorded sessions. Options of the package allow adding graphical information as statistical indicators (mean, standard deviation, quantile or statistical test) but also for each action green or black zones providing visual information about the accuracy of the realized actions.

Title: A Visual Tool for Behavior Analysis over Time
person("Elodie", "Garnier", , "e.garnier30@gmail.com", c("aut", "cre", "cph")),
Description: A graphical R package designed to visualize behavioral observations over time. Based on raw time data extracted from video recorded sessions of experimental observations, ViSiElse grants a global overview of a process by combining the visualization of multiple actions timestamps for all participants in a single graph. Individuals and/or group behavior can easily be assessed. Supplementary features allow users to further inspect their data by adding summary statistics (mean, standard deviation, quantile or statistical test) and/or time constraints to assess the accuracy of the realized actions.