plotLongCART: Plot an LongCART Object
In LongCART: Recursive Partitioning for Longitudinal Profiles

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/plot_n_text_nouse.R

Plots an LongCART object on the current graphics device.

1 2	plotLongCART(x, uniform = FALSE, branch = 1, nspace, margin = 0, minbranch = 0.3, ...)

`x`	a fitted object of class `"LongCART"`, containing a linear mixed effects tree.
`uniform`	similar to `plot.rpart`; if TRUE, uniform vertical spacing of the nodes is used; this may be less cluttered when fitting a large plot onto a page. The default is to use a non-uniform spacing proportional to the error in the fit.
`branch`	similar to `plot.rpart`; controls the shape of the branches from parent to child node. Any number from 0 to 1 is allowed. A value of 1 gives square shouldered branches, a value of 0 give V shaped branches, with other values being intermediate.
`nspace`	similar to `plot.rpart`; the amount of extra space between a node with children and a leaf, as compared to the minimal space between leaves. Applies to compressed trees only. The default is the value of `branch`.
`margin`	similar to `plot.rpart`; an extra fraction of white space to leave around the borders of the tree. (Long labels sometimes get cut off by the default computation).
`minbranch`	similar to `plot.rpart`; set the minimum length for a branch to `minbranch` times the average branch length. This parameter is ignored if `uniform=TRUE`. Sometimes a split will give very little improvement, or even (in the classification case) no improvement at all. A tree with branch lengths strictly proportional to improvement leaves no room to squeeze in node labels.
`...`	arguments to be passed to or from other methods.

This function is a method for the generic function plot, for objects of class LongCART. The y-coordinate of the top node of the tree will always be 1.

The coordinates of the nodes are returned as a list, with components x and y.

Madan Gopal Kundu madan_g.kundu@yahoo.com

Kundu, M. G., and Harezlak, J. (2019). Regression trees for longitudinal data with baseline covariates. Biostatistics & Epidemiology, 3(1):1-22.

textLongCART, LongCART, StabCat, StabCont

#--- Get the data
#data(ACTG175)
              
#--- Run LongCART()
#gvars=c("age", "gender", "wtkg", "hemo", "homo", "drugs", 
#        "karnof", "oprior", "z30", "zprior", "preanti", "race",
#        "str2", "symptom", "treat", "offtrt")
#tgvars=c(1, 0, 1, 0, 0, 0,
#         1, 0, 0, 0, 1, 0,
#         0, 0, 0, 0)

#out<- LongCART(data=ACTG175, patid="pidnum", fixed=cd4~time, 
#               gvars=gvars, tgvars=tgvars, alpha=0.05, 
#               minsplit=100, minbucket=50, coef.digits=2)
               
#--- Plot tree
#par(xpd = TRUE)
#plot(out, compress = TRUE)
#text(out, use.n = TRUE)