Determine Event Boundaries in Event Segmentation Experiments

Contains functions that help to determine event boundaries in event segmentation experiments by bootstrapping a critical segmentation magnitude under the null hypothesis that all key presses were randomly distributed across the experiment. Segmentation magnitude is defined as the sum of Gaussians centered at the times of the segmentation key presses performed by the participants. Within a participant, the maximum of the overlaid Gaussians is used to prevent an excessive influence of a single participant on the overall outcome (e.g. if a participant is pressing the key multiple times in succession). Further functions are included, such as plotting the results.


segmag v1.2.4 (Release date: 2016-08-11)


  • New fix for floating point issue because last fix did not work in some circumstances

segmag v1.2.3 (Release date: 2016-08-10)


  • fixed a floating point issue that could occur when addressing specific time points within the segmentation magnitude data.frame within a segmag object, such as segmag1$data$segmentation_magnitude[segmag1$data$time==0.00]
  • compatibility with current CRAN namespace policy

segmag v1.2.2 (Release date: 2014-10-06)


  • First public release

Reference manual

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1.2.4 by Frank Papenmeier, 2 years ago

Browse source code at

Authors: Frank Papenmeier [aut, cre] , Konstantin Sering [ctb]

Documentation:   PDF Manual  

GPL (>= 3) license

Imports Rcpp, utils, stats, grDevices, graphics, plyr

Suggests testthat

Linking to Rcpp

See at CRAN