Modeling Interpersonal Dynamics


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Documentation for package ‘rties’ version 5.0.0

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actorPartnerDataCross Takes individual cross-sectional data from dyads and turns it into actor-partner format.
actorPartnerDataTime Takes individual repeated measures data from dyads and turns it into actor-partner format.
autoCorPlots Produces auto-correlation plots of the observed state variable for lags of -+ 20 time steps for each dyad.
cloCoupledOde Provides the equation for a coupled oscillator model for the differential equation solver (ode) to plot
cloPlotTraj Plots the bivariate state variable's clo model-predicted temporal trajectories for each latent profile of clo parameters.
cloResids Produces histograms of the residuals from the oscillator model for each dyad.
cloUncoupledOde Provides the equation for an un-coupled oscillator model for the differential equation solver (ode) to plot
crossCorPlots Produces cross-correlation plots of the observed state variable for lags of -+ 20 time steps for each dyad.
dataPrep Reformat a user-provided dataframe in a generic form appropriate for _rties_ modeling
dyadic Produces plots for sysVarIn when sysVar is dyadic.
estDerivs Estimates first and second derivatives of an oberved state variable
histAll Histograms for all numeric variables in a dataframe.
indiv2profilesCat Produces plots for sysVarIn when sysVar is categorical and there are 2 profiles
indiv2profilesCont Produces plots for sysVarIn when sysVar is continuous and there are 2 profiles
indiv3profilesCat Produces plots for sysVarIn when sysVar is categorical and there are 3 profiles
indiv3profilesCont Produces plots for sysVarIn when sysVar is continuous and there are 3 profiles
indiv4profilesCat Produces plots for sysVarIn when sysVar is categorical and there are 4 profiles
indiv4profilesCont Produces plots for sysVarIn when sysVar is continuous and there are 4 profiles
indivClo Estimates either an uncoupled or coupled oscillator model for each dyad.
indivCloCompare Compares model fit for the uncoupled and coupled oscillator for each dyad's state trajectories using an R-square comparison.
indivCloPlots Produces plots of either an uncoupled or coupled oscillator model-predicted trajectories overlaid on raw data for each dyad.
indivInertCoord Estimates versions of the inertia-coordination model for each dyad.
indivInertCoordCompare Compares model fit for the inertia-only, coordination-only and full inertia-coordination model for each dyad's state trajectories using an R-square comparison.
indivInertCoordPlots Produces plots of the inertia-coordination model-predicted trajectories overlaid on raw data for each dyad.
inertCoordPlotTraj Plots the bivariate state variables' model-predicted temporal trajectories for each latent profile of inertia-coordination parameters.
inertCoordResids Produces histograms of the residuals from the inertia-coordination model for each dyad.
inspectProfiles Provides information to help decide how many profiles to use for subsequent rties analyses.
makeCrossCorr Calculates cross-correlations for a given variable and returns a dataframe with the largest absolute cross-correlation and its lag added for each dyad (e.g., it returns either the most negative or most positive cross-correlation, whichever is larger in absolute terms).
makeDist Create a distinguishing variable (called "dist") for non-distinguishable dyads by assigning the partner who is lower on a chosen variable a 0 and the partner who is higher on the variable a 1.
makeFullData Combines profile membership data from the latent profile analysis with other data for using the profile membership to predict and be predicted by the system variable.
Max_Min_CCF_Signed A helper function for makeCrossCorr
plotDataByProfile Plots of de-trended observed variable over time, with dyads separated into groups based on LPA profile membership.
plotRaw Plots of observed variable over time by dyad.
removeDyads Remove data for specified dyads from a dataframe
rties_ExampleDataFull Data for examples in the vignettes.
rties_ExampleDataShort Data for the function examples.
rties_ExampleData_Demo Data for demonstrating rties models.
sysVarIn Provides results for predicting couples' latent profile membership from the system variable.
sysVarInPlots Produces plots for interpreting the results from sysVarIn.
sysVarInResults Produces results from sysVarIn.
sysVarOut Provides results for predicting the system variable from the latent profiles of the dynamic parameters.
sysVarOutPlots Produces plots for interpreting the results from sysVarIn.
sysVarOutResults Produces results from sysVarOut.