Ports of Xpose4 lattice functions to ggplot2.
The goal is to allow the user to use the same code used for creating plots as for lattice-Xpose, although some additional arguments may sometimes be required:
library(xpose4)
source("kaplan.plot.R") # update plot definition
xpose4() # read in Xpose tables
kaplan.plot(xpdb)
kaplan.plot(xpdb, by=c("ARM==0","ARM==1","ARM==2","ARM==3"), xlim=c(0,120), facet="wrap")
kaplan.plot()
: basic version implemented, allows stratification. VPC for KM-plot not tested yet.xpose.VPC()
: basic version implemented, allows stratification.
xpose.plot.default()
: if implemented, most Xpose plots should be coveredxpose.panel.default()
: Panel functionality should be moved toxpose.plot.default()
xpose.plot.histogram()
: Histogram plotsxpose.panel.histogram()
: Panel functionality should be moved toxpose.plot.histogram()
xpose.plot.bw()
: bw plotsxpose.panel.bw()
: Panel functionality should be moved toxpose.plot.bw()
xpose.plot.qq()
: qq plotsxpose.panel.qq()
: Panel functionality should be moved toxpose.plot.qq()
xpose.plot.splom()
: splom plotsxpose.panel.splom()
: Panel functionality should be moved toxpose.plot.splom()
ind.plots()
xpose.VPC.categorical()
: usesxyplot()
directly- plots in
bootgam.plots.R
data.checkout()
dOFV.vs.id()
: usesxyplot()
directlynpc.coverage()
: usesxyplot()
directlyxp.akaike.plot()
: usesdotplot()
directlyxp.plot()
: uses lattice plots directly- Any other GAM plots
- All other plots from xpose4specific will hopefully work unchanged once the above are translated
- ...