## Display of the volume density of a histogram

### Description

The display.dV_dx function displays the volume density of a "histo" class object. Y-units are $$cm^3.Gy^{-1}$$.

### Usage

display.dV_dx(
histo,
xgrid = TRUE,
ygrid = TRUE,
MC.plot = FALSE,
MC.col = grey.colors(4, rev = TRUE),
...
)


### Arguments

 histo "histo" class object. See espadon.class for class definitions. add Boolean indicating whether to display the background image. xgrid Boolean indicating the display of the x grid. ygrid Boolean indicating the display of the y grid. MC.plot Boolean. If MC.plot = TRUE, then display.dV_dx displays, if they exist, the quantile zones (Prob = 0, .025, .25, .5, .75, .975, 1) of variations in volume density. MC.col Character string, a valid palette with 4 colours corresponding to 100%, 95%, 50% and median of MC data. ... Arguments xlab, ylab, xlim, ylim, main, type, col, lwd, lty and log managed by the plot function.

Returns a plot of the differential histogram included in histo, with its median, and the quantile areas (0%-100%), (2.5%-97.5%) and (25%-75%) of the histo$dv_dx variations, if they exist. ### See Also ### Examples # loading of toy-patient objects (decrease dxyz and increase beam.nb for # better result) step <- 5 patient <- toy.load.patient (modality = c("rtdose", "rtstruct"), roi.name = "gizzard", dxyz = rep (step, 3), beam.nb = 3) # Calculation of the differential histogram H <- histo.from.roi (patient$rtdose[[1]], patient\$rtstruct[[1]],
roi.name = "gizzard", breaks = seq (0, 60, by = 2))
display.dV_dx (H, lwd = 2, col = '#00ff00', ylim = c (0,10))