| plot.tseLCA | R Documentation |
Delegates to plot.multiLCA from multilevLCA, which draws the
class-specific item-response probability profiles of the Step-1
measurement model.
## S3 method for class 'tseLCA'
plot(x, horiz = FALSE, clab = NULL, ...)
x |
A fitted |
horiz |
Logical. If |
clab |
Optional character vector of length T giving class labels. |
... |
Further arguments passed to |
Called for its side effect (a base-graphics plot). Invisibly
returns NULL.
d <- generate_data(100, "high", "covariate", seed = 1)
fit_m <- three_step(d, paste0("Y", 1:6), n_classes = 3)
plot(fit_m)
plot(fit_m, clab = c("Low", "Mixed", "High"))
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