SRM.jackknife: Testing SRM effects in round robin designs by means of...
In DLEIVA/nonindependence: Measuring nonindependence in dyadic designs
Description
Usage
Arguments
Details
Value
Author(s)
References
See Also
Description
A function for testing SRM effects in round robin designs by means of a Jackknife test.
Usage
1
Arguments
X
Original round robin sociomatrix.
Details
SRM.jackknife estimates statistical significance for the variance and covariance components obtained for SRM round robin designs.
Value
SRM.jackknife returns a list containing the following components:
t.statistic
t statistic for each variance component of the SRM block data estimated by means of a Jackknife procedure.
df
Degrees of freedom for the statistical test.
two.tailed.p.value
Statistical significance for the variance components of the SRM round robin data.
Author(s)
David Leiva <dleivaur@ub.edu>, Antonio Solanas <antonio.solanas@ub.edu> & Lluís Salafranca <lsalafranca@ub.edu>.
References
Kenny, D. A., Kashy, D. A., & Cook, W. L. (2006). Dyadic data analysis. New York: Guilford Press.
See Also
DLEIVA/nonindependence documentation built on May 10, 2019, 1:15 a.m.
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Description Usage Arguments Details Value Author(s) References See Also
Description
A function for testing SRM effects in round robin designs by means of a Jackknife test.
Usage
1 |
Arguments
X |
Original round robin sociomatrix. |
Details
SRM.jackknife estimates statistical significance for the variance and covariance components obtained for SRM round robin designs.
Value
SRM.jackknife returns a list containing the following components:
t.statistic |
t statistic for each variance component of the SRM block data estimated by means of a Jackknife procedure. |
df |
Degrees of freedom for the statistical test. |
two.tailed.p.value |
Statistical significance for the variance components of the SRM round robin data. |
Author(s)
David Leiva <dleivaur@ub.edu>, Antonio Solanas <antonio.solanas@ub.edu> & Lluís Salafranca <lsalafranca@ub.edu>.
References
Kenny, D. A., Kashy, D. A., & Cook, W. L. (2006). Dyadic data analysis. New York: Guilford Press.
See 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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