Nothing
gridOne <- function(Mu.1, S.1, Pi.1, grid.x, grid.y){
p <- length(Mu.1)
S.1 <- matrix(S.1, nrow = p, ncol = p)
n.grid.x <- length(grid.x)
n.grid.y <- length(grid.y)
z <- array(rep(0, n.grid.x * n.grid.y), c(n.grid.x, n.grid.y))
S.1.det <- det(S.1)
S.1.inv <- solve(S.1)
C <- Pi.1 / (2 * pi)^(p/2) / S.1.det
for(i.x in 1:n.grid.x){
for(i.y in 1:n.grid.y){
X.c <- matrix(c(grid.x[i.x], grid.y[i.y]) - Mu.1, ncol = 1)
z[i.x, i.y] <- C * exp(-0.5 * t(X.c) %*% S.1.inv %*% X.c)
}
}
z
} # End of gridOne().
fill.ppcontour <- function(z,
x = seq(0, 1, length.out = nrow(z[,, 1])),
y = seq(0, 1, length.out = ncol(z[,, 1])),
power = 0.4, xlab = "", ylab = "", main = ""){
x.lim <- range(x)
y.lim <- range(y)
x.lim <- x.lim + c(0.02, -0.02) * (x.lim[2] - x.lim[1])
y.lim <- y.lim + c(0.02, -0.02) * (y.lim[2] - y.lim[1])
plot(NULL, NULL, xlab = "", ylab = "", main = "",
xlim = x.lim, ylim = y.lim, axes = FALSE)
for(i.k in 1:dim(z)[3]){
image(x, y, z[,, i.k]^power,
col = col.ppcontour$fill[[(i.k - 1) %% 7 + 1]](),
add = TRUE)
}
for(i.k in 1:dim(z)[3]){
contour(x, y, z[,, i.k]^power, nlevels = 10,
drawlabels = FALSE,
# col = col.ppcontour$line[[(i.k - 1) %% 7 + 1]],
col = rgb(255, 255, 255, 50, maxColorValue = 255),
lwd = 0.2, add = TRUE)
}
### Merged contours.
# zz <- z[,, 1]
# for(i.k in 2:dim(z)[3]){
# zz <- zz + z[,, i.k]
# }
# contour(x, y, zz^power, nlevels = 10,
# drawlabels = FALSE,
# # col = col.ppcontour$line[[(i.k - 1) %% 7 + 1]],
# col = rgb(255, 255, 255, 100, maxColorValue = 255),
# lwd = 0.5, add = TRUE)
box()
# axis(1)
# axis(2)
invisible()
} # End of fill.ppcontour().
fill.pppoints <- function(da, class, class.true){
for(i.k in 1:length(unique(class))){
da.tmp <- da[class == i.k,]
class.true.tmp <- class.true[class == i.k]
points(da.tmp[, 1], da.tmp[, 2],
col = col.ppcontour$point[[(i.k - 1) %% 7 + 1]],
pch = col.ppcontour$symbol[(class.true.tmp - 1) %% 7 + 1],
cex = 2.0)
}
} # End of fill.pppoints().
fill.ppmu <- function(Mu){
for(i.k in 1:nrow(Mu)){
points(Mu[i.k, 1], Mu[i.k, 2],
pch = "x",
col = rgb(255, 255, 255, maxColorValue = 255),
cex = 2.0)
}
} # End of fill.ppmu().
plotppcontour <- function(da, Pi, Mu, S, class, class.true = NULL,
n.grid = 128, angle = 0, xlab = "", ylab = "", main = ""){
if(is.null(class.true)){
class.true <- class
}
# Rotate plot if needed.
rotation <- matrix(c(cos(angle), sin(angle), -sin(angle), cos(angle)),
nrow = 2, byrow = TRUE)
K <- length(Pi)
Mu <- Mu %*% rotation
tmp.S <- S
for(i.k in 1:K){
tmp <- eigen(tmp.S[,, i.k])
tmp$vectors <- t(t(tmp$vectors) %*% rotation)
S[,, i.k] <- tmp$vectors %*% diag(tmp$values) %*% t(tmp$vectors)
}
da <- da %*% rotation
# Add extra space for plot.
# max.x <- max.y <- max(da)
# min.x <- min.y <- min(da)
min.x <- min(da[, 1])
max.x <- max(da[, 1])
range.x <- max.x - min.x
min.y <- min(da[, 2])
max.y <- max(da[, 2])
range.y <- max.y - min.y
bounds <- c(min.x - range.x * 0.1,
max.x + range.x * 0.1,
min.y - range.y * 0.1,
max.y + range.y * 0.1)
# Build grid points.
grid.x <- seq(bounds[1], bounds[2], length.out = n.grid)
grid.y <- seq(bounds[3], bounds[4], length.out = n.grid)
K <- dim(S)[3]
z <- array(rep(NA, n.grid * n.grid * K), c(n.grid, n.grid, K))
ret <- NULL
for(i.k in 1:K){
z[,, i.k] <- gridOne(Mu[i.k,], S[,, i.k], Pi[i.k], grid.x, grid.y)
}
fill.ppcontour(z, x = grid.x, y = grid.y,
xlab = xlab, ylab = ylab, main = main)
fill.pppoints(da, class, class.true)
fill.ppmu(Mu)
invisible()
} # End of plotppcontour().
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.