| plot.apc | R Documentation |
This function plots the estimates created by 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.
## S3 method for class 'apc'
plot( x, r.txt="Rate", ...)
apc.plot( x, r.txt="Rate", ...)
x |
An object of class |
r.txt |
The text to put on the vertical rate axis. |
... |
Additional arguments passed on to |
plot.apc is just a wrapper for apc.plot.
A numerical vector of length two, with names
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.
Bendix Carstensen, Steno Diabetes Center, http://bendixcarstensen.com
apc.lines, lines.apc,
apc.frame, apc.fit
data( lungDK )
apc1 <- apc.fit( transform( lungDK,
A = Ax, P = Px, Y = Y/10^5 ),
ref.c = 1920 )
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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