cloSysVarOut: Compares a base line "intercept only" model to coupled and...

In ebmtnprof/qid: Version of "rties" to accompany "Quantifying Interpersonal Dynamics"

Description

The dynamic parameters used in these models come from the set of clo parameter: obs_0, obs_1, d1_0, d1_1, p_obs_0, p_obs_1, p_d1_0, p_d1_1. The 3 models compared are the baseline intercept-only, the uncoupled CLO (obs_0, obs_1, d1_0, d1_1), and the full coupled CLO. 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). To make it easier to read the output, the dynamic parameters are renamed as follows: obs = freq, d1 = damp, p_obs = freqCoupling, p_d1 = dampCoupling.

Usage

cloSysVarOut(basedata, sysVarType, dist0name, dist1name, sysVarName,
  coVar = FALSE)

Arguments

basedata	A dataframe produced by the "indivCloCouple" 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").

Value

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.

ebmtnprof/qid documentation built on May 13, 2019, 6:08 p.m.