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EMG

Single-subject time series of facial electromyography data

Description

A dataset obtained and analyzed in Yang and Chow (2010).

Usage

data(EMG)

Format

A data frame with 695 rows and 4 variables

Details

Reference: Yang, M-S. & Chow, S-M. (2010). Using state-space models with regime switching to represent the dynamics of facial electromyography (EMG) data. Psychometrika, 74(4), 744-771

The variables are as follows:

  • id. ID of the participant (= 1 in this case, over 695 time points)

  • time Time in seconds

  • iEMG. Observed integrated facial electromyograhy data

  • SelfReport. Covariate - the individual's concurrent self-reports

dynr

Dynamic Models with Regime-Switching

v0.1.16-2
GPL-3
Authors
Lu Ou [aut], Michael D. Hunter [aut, cre] (<https://orcid.org/0000-0002-3651-6709>), Sy-Miin Chow [aut] (<https://orcid.org/0000-0003-1938-027X>), Linying Ji [aut], Meng Chen [aut], Hui-Ju Hung [aut], Jungmin Lee [aut], Yanling Li [aut], Jonathan Park [aut], Massachusetts Institute of Technology [cph], S. G. Johnson [cph], Benoit Scherrer [cph], Dieter Kraft [cph]
Initial release
2021-03-12

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