Description Usage Arguments Details Value Examples
this function handles the critical step of taking the data post build, and processes it to a form that can be run through the actual coupled oscillator functions. Takes tau and dim argument for derivative estimation step
1 | process_data(basedata, taus, dims, extra_info = F)
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extra_info |
extra-info populates a global environment variable with the R^2 values for the derivative estimates, to assist in determining whether these estimates are of any use
includes creation of residual column – equalization of each partners data length– actual locallinear approximation (using Steven Boker's GLLA code –see references) for 1st and second derivatives – crossing of the actor and partner –
dataframe with 1st, 2nd derivatives, residual column, high/low Moderator, ID, Dyad, time columns
1 2 3 4 | #tau 1 dim 6 extra info T
process_data(build.cleaned.data,c(1),c(6),T)
#tau 2,3 dim 5,6,7 extra info F
process_data(build.cleaned.data,c(2,3),c(5,6,7),F)
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