plot an NeuroVol as a series of 2D slices
Usage
# S4 method for NeuroSlice
plot(
x,
cmap = gray(seq(0, 1, length.out = 255)),
irange = range(x, na.rm = TRUE)
)
# S4 method for NeuroVol
plot(
x,
cmap = gray(seq(0, 1, length.out = 255)),
zlevels = unique(round(seq(1, dim(x)[3], length.out = 6))),
irange = range(x, na.rm = TRUE),
thresh = c(0, 0),
alpha = 1,
bgvol = NULL,
bgcmap = gray(seq(0, 1, length.out = 255))
)
Arguments
- x
the object to display
- cmap
a color map consisting of a vector of colors in hex format (e.g.
gray(n=255)
)- irange
the intensity range indicating the low and high values of the color scale.
- zlevels
the series of slice indices to display.
- thresh
a 2-element vector indicating the lower and upper transparency thresholds.
- alpha
the level of alpha transparency
- bgvol
a background volume that serves as an image underlay (currently ignored).
- bgcmap
a color map for backround layer consisting of a vector of colors in hex format (e.g.
gray(n=255)
)
Examples
dat <- matrix(rnorm(100*100), 100, 100)
slice <- NeuroSlice(dat, NeuroSpace(c(100,100)))
#plot(slice)
dat <- matrix(rnorm(100*100), 100, 100)
slice <- NeuroSlice(dat, NeuroSpace(c(100,100)))
#plot(slice)