Plot within-person against between-person effects — plot

One row per predictor, with the within and between coefficients and their confidence intervals. A predictor whose two intervals do not overlap is one where pooling the two processes into a single coefficient would mislead.

Usage

plot_components(x, scope = "pooled", subject = NULL, subgroup = NULL, ...)

Arguments

x: A fit_within_between() result.
scope, subject, subgroup: Optional filters.
...: Passed to base plotting functions.

Value

Invisibly, the plotted table.

Examples

fit <- fit_within_between(srl, y = "effort", x = c("efficacy", "planning"),
                          id = "name", time = "day")
plot_components(fit)