Description Usage Arguments Details Value Examples
The function plots ‘embryo2d’ object in different ways: (1) 2d color levelplot of intesities, (2) 3d plot of intensities and (3) 1d plots of sections along coordinate (AP or DV) directions.
1 2 3 4 5 |
x |
object of class ‘embryo2d’ |
type |
plot type (see Details) |
... |
further arguments passed to plotting function |
A lot of drawing methods, 1d, 2d, 3d, for regular grid and for orginal nuclear centers. Type variants:
is 2d nuclei plot. One point for one nucleus. Also one can pass the following arguments:
voronoi
— logical whether plot Voronoi diagram for nuclei, 'TRUE' by default;
col
— argument for colorRampPalette
, this pallete used
for Voronoi diagram, color intensity corresponds to nuclei intensity value,
greyscale pallete by default
is Lattice levelplot for intensity regularization. Argument col
defines color palette
(see previous item)
is Lattice xyplot for of section for intensities in regular grid. Additional arguments:
at
, units
— units for at
('percent' or 'original'),
coord
— 'x' or 'y', 'y' by default
is Lattice xyplot of section for intensities in nucleus. Additional arguments:
at
, units
, coord
— see previous item, tolerance
—
is the half-width of the strip around the section position
is 3d rgl plot, nuclei are depicted by colored spheres,
color intensity corresponds to nuclei intensity value. Additional argument col
—
character vector of two values, denotes colors for the lowest and the highest intensities correspondingly
is 3d rgl surface plot, values in regular grid are depicted,
color intensity corresponds to nuclei intensity value. Additional argument col
— see previous item
Other parameters are passed to plot functions.
‘trellis’ object (see lattice) for 2d plots, a vector of object IDs for 3d plots.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 | xlim <- c(22, 88)
ylim <- c(32, 68)
L <- c(15, 15)
good <- 3
file <- system.file("extdata/data", "ab16.txt", package = "BioSSA")
df <- read.emb.data(file)
bss <- BioSSA(cad ~ AP + DV, data = df,
L = L,
step = 0.5,
xlim = xlim, ylim = ylim)
# Reconstruction of elementary components
rec.elem <- reconstruct(bss, groups = 1:6)
plot(plot(rec.elem))
# Sections for testing the reconstruction quality
rec <- reconstruct(bss, groups = list(good = 1:good))
p.ny <- plot(attr(rec, "series"), type = "nuclei-section", at = 50, coord = "y", tol = 5)
p.fy2 <- plot(rec$good, type = "field-section", at = 50, coord = "y")
# y-sections
pls <- list()
pls[[1]] <- p.ny + p.fy2
pls[[2]] <- plot(residuals(bss, 1:good), type = "nuclei-section",
at = 50, coord = "y", tol = 5,
ref = TRUE, col = "blue")
print(pls[[1]], split = c(1, 1, 2, 1), more = TRUE)
print(pls[[2]], split = c(2, 1, 2, 1))
# Dependence of noise on trend
plot(bss, type = "residuals", model = "multiplicative", groups = 1:good)
# 3d-figure of reconstruction
plot(rec$good, type = "nuclei-3d", col = c("blue", "red"))
# 2d-figures with triangulation
plot(rec$good, type = "nuclei-2d")
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