distinguishable.dyad: Estimating nonindependence in distinguishable standard dyadic...
In DLEIVA/DyaDA: Dyadic Data Analysis
Description
Usage
Arguments
Details
Value
Author(s)
References
See Also
Description
A function for estimating dyadic interdependence in standard dyadic designs with distinguishable dyad members and interval responses.
Usage
1
distinguishable.dyad(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 rho parameter. It is equal to 0.95 by default
Details
distinguishable.dyad estimates dyadic interdependence for any standard dyadic design in which distinguishable members and interval data are taken into account.
Value
distinguishable.dyad returns a list containing the following components:
descriptive.statistics
Summary of some descriptive statistics for the dyadic variables.
pearson.correlation
Pearson's correlation coefficient for the original data.
alpha
Probability of the parameter not included in the interval estimation.
r.pearson.confidence.interval
Lower and upper bounds of the rho parameter estimated at 1-alpha confidence level.
t.statistic
Statistic value for carrying out the statistical test regarding dyadic nonindependence.
df
Degrees of freedom.
two.tailed.p.value
Statistical significance of the t statistic value under the null hypothesis of no dyadic correlation
Author(s)
David Leiva <dleivaur@ub.edu>, Antonio Solanas <antonio.solanas@ub.edu>, & David A. Kenny <david.kenny@uconn.edu>.
References
Kenny, D. A., Kashy, D. A., & Cook, W. L. (2006). Dyadic data analysis. New York: Guilford Press.
See Also
DLEIVA/DyaDA documentation built on May 6, 2019, 1:17 p.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 distinguishable dyad members and interval responses.
Usage
1 | distinguishable.dyad(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 rho parameter. It is equal to 0.95 by default |
Details
distinguishable.dyad estimates dyadic interdependence for any standard dyadic design in which distinguishable members and interval data are taken into account.
Value
distinguishable.dyad returns a list containing the following components:
descriptive.statistics |
Summary of some descriptive statistics for the dyadic variables. |
pearson.correlation |
Pearson's correlation coefficient for the original data. |
alpha |
Probability of the parameter not included in the interval estimation. |
r.pearson.confidence.interval |
Lower and upper bounds of the rho parameter estimated at 1-alpha confidence level. |
t.statistic |
Statistic value for carrying out the statistical test regarding dyadic nonindependence. |
df |
Degrees of freedom. |
two.tailed.p.value |
Statistical significance of the t statistic value under the null hypothesis of no dyadic correlation |
Author(s)
David Leiva <dleivaur@ub.edu>, Antonio Solanas <antonio.solanas@ub.edu>, & David A. Kenny <david.kenny@uconn.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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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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