text | R Documentation |
Labels the current plot of the tree generated from SurvCART or LongCART object with text.
## S3 method for class 'SurvCART' text(x, splits = TRUE, all = FALSE, use.n = FALSE, minlength = 1L, ...) ## S3 method for class 'LongCART' text(x, splits = TRUE, all = FALSE, use.n = FALSE, minlength = 1L, ...)
x |
a fitted object of class |
splits |
similar to text.rpart;
logical flag. If |
all |
similar to text.rpart; Logical. If TRUE, all nodes are labeled, otherwise just terminal nodes. |
use.n |
similar to text.rpart;
Logical. If TRUE, adds |
minlength |
similar to text.rpart; the length to use for factor labels. A value of 1 causes them to be printed as 'a', 'b', ..... Larger values use abbreviations of the label names. See the labels.rpart function for details. |
... |
arguments to be passed to or from other methods. |
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.
Kundu, M. G., and Ghosh, S. (2021). Survival trees based on heterogeneity in time-to-event and censoring distributions using parameter instability test. Statistical Analysis and Data Mining: The ASA Data Science Journal, 14(5), 466-483.
plot
, SurvCART
, LongCART
#--- Get the data data(GBSG2) #numeric coding of character variables GBSG2$horTh1<- as.numeric(GBSG2$horTh) GBSG2$tgrade1<- as.numeric(GBSG2$tgrade) GBSG2$menostat1<- as.numeric(GBSG2$menostat) #Add subject id GBSG2$subjid<- 1:nrow(GBSG2) #--- Run SurvCART() out<- SurvCART(data=GBSG2, patid="subjid", censorvar="cens", timevar="time", event.ind=1, gvars=c('horTh1', 'age', 'menostat1', 'tsize', 'tgrade1', 'pnodes', 'progrec', 'estrec'), tgvars=c(0,1,0,1,0,1, 1,1), alpha=0.05, minsplit=80, minbucket=40, print=TRUE) #--- Plot tree par(xpd = TRUE) plot(out, compress = TRUE) text(out, use.n = TRUE)
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