apc.plot.fit.all {apc} | R Documentation |
Plots estimates using apc.plot.fit
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Probability transform plot of residuals using apc.plot.fit.pt
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Level plot of residuals using apc.plot.fit.residuals
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Level plot of fitted values using apc.plot.fit.fitted.values
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Level plot of linear predictors using apc.plot.fit.linear.predictors
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Level plots of responses and rates (if dose is availble) using apc.plot.data.level
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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)