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segmag  

Determine Event Boundaries in Event Segmentation Experiments
View on CRAN: Click here


Download and install segmag package within the R console
Install from CRAN:
install.packages("segmag")

Install from Github:
library("remotes")
install_github("cran/segmag")

Install by package version:
library("remotes")
install_version("segmag", "1.2.4")



Attach the package and use:
library("segmag")
Maintained by
Frank Papenmeier
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-10-17
Latest Update: 2016-08-11
Description:
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.
How to cite:
Frank Papenmeier (2014). segmag: Determine Event Boundaries in Event Segmentation Experiments. R package version 1.2.4, https://cran.r-project.org/web/packages/segmag. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.2.2 (2014-10-17 10:30), 1.2.3 (2016-08-10 14:12)
Other packages that cited segmag R package
View segmag citation profile
Other R packages that segmag depends, imports, suggests or enhances
Complete documentation for segmag
Functions, R codes and Examples using the segmag R package
Some associated functions: bootstrap_critical_cutoffs . flag_maxima_positions . get_eb_times . get_eb_times_segmag_diff . plot.segmag . segmag . 
Some associated R codes: RcppExports.R .  Full segmag package functions and examples
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