pairwise.correlation: Pairwise correlation for estimating nonindependence in...
In DLEIVA/nonindependence: Measuring nonindependence in dyadic designs
Description
Usage
Arguments
Details
Value
Author(s)
References
See Also
Description
A function for estimating dyadic interdependence in standard dyadic designs with indistinguishable dyad members and interval responses by means of the pairwise correlation.
Usage
1
pairwise.correlation(dataset, conf.int=0.95)
Arguments
dataset
Original data with dyadic responses.
conf.int
Confidence level in order to estimate the confidence interval for the rp parameter. It is equal to 0.95 by default
Details
pairwise.correlation estimates dyadic interdependence for any standard dyadic design in which indistinguishable members and interval data are taken into account by means of a pairwise correlation.
Value
pairwise.correlation returns a list containing the following components:
descriptive.statistics
Summary of some descriptive statistics for the dyadic variables.
pairwise.correlation
rp coefficient for the original data.
alpha
Probability of the parameter not included in the interval estimation.
rp.confidence.interval
Lower and upper bounds of the rp parameter estimated at 1-alpha confidence level.
z.value
Statistic value for carrying out the statistical test regarding dyadic nonindependence.
standard.error
Standard error for the rp parameter under the null hypothesis of no dyadic correlation.
two.tailed.p.value
Statistical significance of the z statistic value under the null hypothesis of no dyadic correlation
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 estimating dyadic interdependence in standard dyadic designs with indistinguishable dyad members and interval responses by means of the pairwise correlation.
Usage
1 | pairwise.correlation(dataset, conf.int=0.95)
|
Arguments
dataset |
Original data with dyadic responses. |
conf.int |
Confidence level in order to estimate the confidence interval for the rp parameter. It is equal to 0.95 by default |
Details
pairwise.correlation estimates dyadic interdependence for any standard dyadic design in which indistinguishable members and interval data are taken into account by means of a pairwise correlation.
Value
pairwise.correlation returns a list containing the following components:
descriptive.statistics |
Summary of some descriptive statistics for the dyadic variables. |
pairwise.correlation |
rp coefficient for the original data. |
alpha |
Probability of the parameter not included in the interval estimation. |
rp.confidence.interval |
Lower and upper bounds of the rp parameter estimated at 1-alpha confidence level. |
z.value |
Statistic value for carrying out the statistical test regarding dyadic nonindependence. |
standard.error |
Standard error for the rp parameter under the null hypothesis of no dyadic correlation. |
two.tailed.p.value |
Statistical significance of the z statistic value under the null hypothesis of no dyadic correlation |
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
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