Generate descriptive summary for objects returned by other functions
Generate descriptive summary for objects returned by other functions.
## S3 method for class 'boin' summary(object, ...)
object |
the object returned by other functions. |
... |
ignored arguments |
summary()
prints the objects returned by other functions.
summary()
prints the objects returned by other functions.
Suyu Liu, Liangcai Zhang and Ying Yuan
###### single-agent trial ###### ## summarize the object returned by get.boundary() bound <- get.boundary(target=0.3, ncohort=10, cohortsize=3) summary(bound) ## summarize the object returned by get.oc() oc.single <- get.oc(target=0.3, p.true=c(0.05, 0.15, 0.3, 0.45, 0.6), ncohort=10, cohortsize=3, ntrial=1000) summary(oc.single) ## summarize the object returned by select.mtd() n <- c(3, 3, 15, 9, 0) y <- c(0, 0, 4, 4, 0) selmtd <- select.mtd(target=0.3, npts=n, ntox=y) summary(selmtd) ###### drug-combination trial###### ###### drug-combiation trial to find a single MTD ###### ## summarize the object returned by next.comb() n <- matrix(c(3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ncol=4, byrow=TRUE) y <- matrix(c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ncol=4, byrow=TRUE) nxt.comb <- next.comb(target=0.25, npts=n, ntox=y, dose.curr=c(1, 1)) summary(nxt.comb) ## summarize the object returned by next.comb() n <- matrix(c(3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ncol=4, byrow=TRUE) y <- matrix(c(0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ncol=4, byrow=TRUE) nxt.comb <- next.comb(target=0.25, npts=n, ntox=y, dose.curr=c(1, 2)) summary(nxt.comb) ## summarize the object returned by get.oc.comb() when mtd.contour=FALSE p.true <- matrix(c(0.02,0.04,0.08,0.14, 0.08,0.25,0.42,0.48, 0.25,0.45,0.50,0.60), byrow=TRUE, ncol=4) oc.comb <- get.oc.comb(target=0.25, p.true=p.true, ncohort=16, cohortsize=3, ntrial=100) summary(oc.comb) ## summarize the object returned by select.mtd.comb() n <- matrix(c(6, 3, 0, 0, 6, 24, 9, 0, 0, 0, 0, 0), ncol=4, byrow=TRUE) y <- matrix(c(0, 0, 0, 0, 1, 5, 4, 0, 0, 0, 0, 0), ncol=4, byrow=TRUE) sel.comb <- select.mtd.comb(target=0.25, npts=n, ntox=y) summary(sel.comb) ###### drug-combiation trial to find the MTD contour ###### ## summarize the object returned by next.subtrial() n <- matrix(c(6, 0, 0, 0, 6, 0, 0, 0, 9, 12, 0, 0), ncol=4, byrow=TRUE) y <- matrix(c(0, 0, 0, 0, 1, 0, 0, 0, 2, 3, 0, 0), ncol=4, byrow=TRUE) nxt.trial <- next.subtrial(target=0.3, npts=n, ntox=y) summary(nxt.trial) ## summarize the object returned by get.oc.comb() when mtd.contour=TRUE. p.true <- matrix(c(0.01,0.03,0.10,0.20,0.30, 0.03,0.05,0.15,0.30,0.60, 0.08,0.10,0.30,0.60,0.75), byrow=TRUE, ncol=5) oc.comb <- get.oc.comb(target=0.3, p.true, ncohort=c(10,5,5), cohortsize=3, n.earlystop=12, startdose=c(1,1),ntrial=100, mtd.contour=TRUE) summary(oc.comb) ## summarize the object returned by select.mtd.comb() n <- matrix(c(6, 9, 24, 0, 6, 24, 9, 0, 12, 18, 0, 0), ncol=4, byrow=TRUE) y <- matrix(c(0, 1, 5, 0, 1, 5, 4, 0, 1, 5, 0, 0), ncol=4, byrow=TRUE) sel.comb2 <- select.mtd.comb(target=0.3, npts=n, ntox=y, mtd.contour=TRUE) summary(sel.comb2)
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