apc.plot.data.all {apc} | R Documentation |
Plots data sums using apc.plot.data.sums
.
Sparsity plots of data using apc.plot.data.sparsity
.
Plots data using all combinations of two time scales using apc.plot.data.within
.
Level plots of data using apc.plot.data.level
.
The latter plot is done for responses and if applicable also for doses and mortality rates.
apc.plot.data.all(apc.data.list,log ="",rotate=FALSE)
apc.data.list |
List. See |
log |
Optional |
rotate |
Optional. Logical. If TRUE rotates |
A warning is produced if dimension is not divisible by thin, so that one group is smaller than other groups.
Bent Nielsen <bent.nielsen@nuffield.ox.ac.uk> 25 Apr 2015
The example below uses Italian bladder cancer data, see data.Italian.bladder.cancer
##################### # EXAMPLE with artificial data # generate a 3x4 matrix in "AP" data.format with the numbers 1..12 m.data <- matrix(data=seq(length.out=12),nrow=3,ncol=4) m.data data.list <- apc.data.list(m.data,"AP") apc.plot.data.all(data.list,log="") ##################### # 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() apc.plot.data.all(data.list)