display.histo {espadon}

Display of the counts of a histogram

Description

The display.histo function displays the counts of "histo" class object.

Usage

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

Arguments

histo

"histo" class object.

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.histo displays, if they exist, the quantile zones (Prob = 0, .05, .25, .5, .75, .95, 1) of variations in counts.

MC.col

Character string, a valid palette with 4 colours corresponding to 100%, 95%, 50% and median of MC data.

...

Additional arguments xlab, ylab, xlim, ylim, main, type, col, lwd, lty and log managed by the plot function.

Value

Returns a plot of the counts included in histo, with its median, and the quantile areas (0%-100%), (2.5%-97.5%) and (25%-75%) of the histo$counts variations, if they exist.

See Also

display.dV_dx.

Examples

# loading of toy-patient objects (decrease dxyz for better result)
step <- 3
patient <- toy.load.patient (modality = "ct", dxyz = rep (step, 3))
CT <- patient$ct[[1]]

# histogram and display
H <- histo.vol (CT, breaks = seq (3, ceiling (CT$max.pixel), 1), 
                alias = "CT_hist")
display.histo (H, log = "y", lwd = 2)