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.

Documentation

Manual: segmag.pdf
Vignette: None available.

Maintainer: Frank Papenmeier <frank.papenmeier at uni-tuebingen.de>

Author(s): Frank Papenmeier*, Konstantin Sering*

Install package and any missing dependencies by running this line in your R console:

install.packages("segmag")

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Imports Rcpp(>=0.11.0), utils, stats, grDevices, graphics, plyr
Suggests testthat
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Linking to Rcpp
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Package segmag
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Version 1.2.4
Published 2016-08-11
License GPL (>= 3)
BugReports
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks segmag check results
Package source segmag_1.2.4.tar.gz