Plotting TDCM Results

tdcm.plot() visualizes the results from TDCM analyses.

Usage

tdcm.plot(results, attribute.names = c(), group.names = c(), type = "both")

Arguments

results

results from tdcm.summary or mg.tdcm.summary

attribute.names

an optional vector of attribute names to include in plots.

group.names

an optional vector of group names to include in plots.

type

an option to specify the type of plot in single group cases; "both" is default and will produce a line plot and a bar chart; "line" will produce a line plot; and "bar" will produce a bar chart.

Value

No return value, called for side effects.

Examples

# \donttest{
## 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 = "LCDM")
#> [1] Preparing data for tdcm()...
#> [1] Estimating the TDCM in tdcm()...
#> [1] Depending on model complexity, estimation time may vary...
#> [1] TDCM estimation complete.
#> [1] Use tdcm.summary() to display results.

#summarize results with tdcm.summary function
results1 = TDCM::tdcm.summary(m1)
#> [1] Summarizing results...
#> [1] Routine finished. Check results.

#plot results
TDCM::tdcm.plot(results1, attribute.names = c("Addition", "Subtraction",
"Multiplication", "Division"))


#> [1] **Check the plots window for line and bar plots of growth proportions.
# }