apc.fit
in a single
graph. It just calls apc.frame
after computing some sensible
values of the parameters, and subsequently plots the estimates using
apc.lines
.
"plot"( x, r.txt="Rate", ...) apc.plot( x, r.txt="Rate", ...)
apc
. apc.lines
. c("cp.offset","RR.fac")
. The first is the offset for the cohort
period-axis, the second the multiplication factor for the rate-ratio
scale. Therefore, if you want to plot at (x,y)
in the right panel,
use (x-res["cp.offset"],y/res["RR.fac"])
=(x-res[1],y/res[2])
.
This vector should be supplied for the parameter frame.par
to
apc.lines
if more sets of estimates is plotted in the
same graph, however see cp.points
.
plot.apc
is just a wrapper for apc.plot
.apc.lines
, lines.apc
,
apc.frame
, apc.fit
data( lungDK )
attach( lungDK )
apc1 <- apc.fit( A=Ax, P=Px, D=D, Y=Y/10^5 )
fp <- apc.plot( apc1 )
apc.lines( apc1, frame.par=fp, drift=1.01, col="red" )
for( i in 1:11 )
apc.lines( apc1, frame.par=fp, drift=1+(i-6)/100, col=rainbow(12)[i] )
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