tdcm.plot {TDCM} | R Documentation |
Plotting TDCM Results
Description
tdcm.plot()
visualizes the results from TDCM analyses.
Usage
tdcm.plot(results, attribute.names = c(), group.names = c())
Arguments
results |
results from |
attribute.names |
an optional vector of attribute names to include in plots. |
group.names |
an optional vector of group names to include in plots. |
Value
No return value, called for side effects.
Examples
## Example 1: T = 2, A = 4
data(data.tdcm01, package = "TDCM")
dat1 = data.tdcm01$data
qmat1 = data.tdcm01$q.matrix
#estimate TDCM with invariance assumed and full LCDM
m1 = TDCM::tdcm(dat1, qmat1, num.time.points = 2, invariance = TRUE, rule = "GDINA")
#summarize results with tdcm.summary function
results1 = TDCM::tdcm.summary(m1, num.time.points = 2)
#plot results
TDCM::tdcm.plot(results1, attribute.names = c("Addition", "Subtraction",
"Multiplication", "Division"))
[Package TDCM version 0.1.0 Index]