stroop_mod: Model Parameters and Residuals from Stroop ML3
In dalejbarr/autocorr: Autocorrelation toolkit for multilevel data
Description
Usage
Format
Details
References
See Also
Description
A list containing the parameter estimates and residuals from a
linear-mixed effects model fit to the Stroop dataset from the Many
Labs 3 project \insertCiteML3autocorr.
Usage
1
Format
A list, with the following elements:
fixedEstimates for fixed effects, (Intercept) and
main effect of congruency (cong).
covmxVariance-covariance matrix for the random effects,
with the random intercept and random slope variance along the
diagonal, and covariances set to zero.
sigmaEstimate of residual variance.
paramA named list of 3,337 63-element vectors, each
representing the model residuals for a particular participant,
ordered by trial.
Details
The model fit to the data was
lmer(latency ~ cong + (cong || session_id), stroop_ML3).
References
\insertAllCited
See Also
dalejbarr/autocorr documentation built on March 27, 2021, 3:03 a.m.
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Description Usage Format Details References See Also
Description
A list containing the parameter estimates and residuals from a linear-mixed effects model fit to the Stroop dataset from the Many Labs 3 project \insertCiteML3autocorr.
Usage
1 |
Format
A list, with the following elements:
fixedEstimates for fixed effects,
(Intercept)and main effect of congruency (cong).covmxVariance-covariance matrix for the random effects, with the random intercept and random slope variance along the diagonal, and covariances set to zero.
sigmaEstimate of residual variance.
paramA named list of 3,337 63-element vectors, each representing the model residuals for a particular participant, ordered by trial.
Details
The model fit to the data was
lmer(latency ~ cong + (cong || session_id), stroop_ML3).
References
\insertAllCitedSee Also
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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