Description Usage Arguments Value
The dynamic parameters used in these models come from a set including both people's inertia (inert0 and inert1) and coordination (coord0 and coord1) estimates. The 4 models compared are a baseline intercept-only, inertia-only (inert0 + inert1), coordination-only (coord0 + coord1) and full inertia-coordination (inert0 + inert1 + coord0 + coord1) models. The system variable can be either dyadic (sysVarType = "dyad"), where both partners have the same score (e.g., relationship length) or individual (sysVarType = "indiv"), where the partners can have different scores (e.g., age). If it is individual then both actor and partner effects of the dynamic parameters are included.
1 2 | inertCoordSysVarOut(basedata, sysVarType, dist0name, dist1name, sysVarName,
coVar = FALSE)
|
basedata |
A dataframe containing the inertia-coordination parameter estimates produced by the "indivInertCoord" function. |
sysVarType |
Whether the system variable is "dyad", which means both partners have the same socre, or "indiv" which means the partners can have different scores |
dist0name |
A name for the level-0 of the distinguishing variable (e.g., "Women"). |
dist1name |
A name for the level-1 of the distinguishing variable (e.g., "Men"). |
sysVarName |
A name for the system variable being predicted (e.g., "Satisfaction"). |
coVar |
The function returns a list including: 1) the lm or lme objects containing the full results for each model (called "models"), and 2) adjusted R^2 information for each model (called "R2"). The function also displays histograms of the residuals and plots of the predicted values against observed values for each model.
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