apc.plot.fit.all | R Documentation |
Plots estimates using apc.plot.fit
.
Probability transform plot of residuals using apc.plot.fit.pt
.
Level plot of residuals using apc.plot.fit.residuals
.
Level plot of fitted values using apc.plot.fit.fitted.values
.
Level plot of linear predictors using apc.plot.fit.linear.predictors
.
Level plots of responses and rates (if dose is availble) using apc.plot.data.level
.
apc.plot.fit.all(apc.fit.model,log ="",rotate=FALSE)
apc.fit.model |
List. Output from |
log |
Optional |
rotate |
Optional. Logical. If TRUE rotates level plots 90 degrees clockwise (or anti-clockwise if data.format is "CL"). Default is FALSE. |
Bent Nielsen <bent.nielsen@nuffield.ox.ac.uk> 2t Apr 2015
The example below uses Italian bladder cancer data, see data.Italian.bladder.cancer
#####################
# EXAMPLE with Italian bladder cancer data
# get data list, then make all descriptive plots.
# Note that warnings are given in relation to the data chosen thinning
# This can be avoided by working with the individual plots, and in particular
# with apc.plot.data.within where the thinning happens.
data.list <- data.Italian.bladder.cancer()
fit <- apc.fit.model(data.list,"poisson.dose.response","APC")
apc.plot.fit.all(fit)
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