EMG: Single-subject time series of facial electromyography data
In dynr: Dynamic Models with Regime-Switching
EMG R Documentation
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 documentation built on Oct. 17, 2022, 9:06 a.m.
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| EMG | R Documentation |
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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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