Nothing
plot.dwt <- function (x, levels = NULL, draw.boundary = FALSE,
type = "stack", col.plot = "black", col.boundary = "red",
X.xtick.at = NULL, X.ytick.at = NULL, Stack.xtick.at = NULL,
Stack.ytick.at = NULL, X.xlab = "t", y.rlabs = TRUE,
plot.X = TRUE, plot.W = TRUE, plot.V = TRUE, ...)
{
stackplot.dwt <- function ( x , w.range, v.range, col.plot, col.boundary,
draw.boundary = FALSE, X.xtick.at = NULL, X.ytick.at = NULL,
Stack.xtick.at = NULL, Stack.ytick.at = NULL, X.xlab = "t",
plot.X = TRUE)
{
innerplot <- function(x, y, type = "l", xtick.at, ytick.at)
{
if(is.null(xtick.at) == FALSE || is.null(ytick.at) == FALSE) {
plot(x, y, type = "l", axes = FALSE, frame.plot = TRUE)
if(is.null(xtick.at) == FALSE) {
axis(1, at = axTicks(1, xtick.at))
xtickrate <- xtick.at
}
else {
axis(1)
xtickrate <- par("xaxp")
}
if(is.null(ytick.at) == FALSE) {
axis(2, at = axTicks(2, ytick.at))
ytickrate <- ytick.at
}
else {
axis(2)
ytickrate <- par("yaxp")
}
}
else {
plot(x, y, type = "l")
xtickrate <- par("xaxp")
ytickrate <- par("yaxp")
}
tickrate <- list(xtick = xtickrate, ytick = ytickrate)
tickrate
}
if(plot.X) {
nf <- layout(matrix(c(2,2,1,1), 2, 2, byrow=TRUE), c(1,2), c(2,1), TRUE)
par(mai = c(.6, .4, .1, .6))
if( x @class.X == "ts" || x @class.X == "mts") {
x.range <- x @attr.X$tsp[1]: x @attr.X$tsp[2]
}
else{
x.range <- 1:dim( x @series)[1]
}
tickrate <- innerplot(x.range, x @series[,1], type = "l", X.xtick.at, X.ytick.at)
right.usrplotrange <- par()$usr[2] - par()$usr[1]
NDCplotrange <- par()$plt[2] - par()$plt[1]
marginpos <- (1-par()$plt[2])/2
right.usrlabelpos <- ((marginpos*right.usrplotrange)/NDCplotrange) + par()$usr[2]
text(right.usrlabelpos, 0, "X", xpd = TRUE)
mtext(X.xlab, side = 1, line = 2)
par(mai = c(0, .4, .1, .6))
}
if(plot.X == FALSE) {
par(mai = c(.4, .4, .1, .6))
if(is.null(Stack.xtick.at) == FALSE) {
xtickrate <- Stack.xtick.at
}
else {
xtickrate <- NULL
}
if(is.null(Stack.ytick.at) == FALSE) {
ytickrate <- Stack.ytick.at
}
else {
ytickrate <- NULL
}
tickrate <- list(xtick = xtickrate, ytick = ytickrate)
}
if (draw.boundary) {
matrixlist <- list(dwt = as.matrix.dwt( x , w.range, v.range), posbound = boundary.as.matrix.dwt( x , w.range, v.range, positive = TRUE), negbound = boundary.as.matrix.dwt( x , w.range, v.range, positive = FALSE))
col <- c(col.plot, col.boundary, col.boundary)
}
else {
matrixlist <- list(dwt = as.matrix.dwt( x , w.range, v.range))
col <- col.plot
}
if(is.null(w.range) == FALSE) {
gammawave <- wt.filter.shift( x @filter, w.range, wavelet = TRUE)
}
if(is.null(v.range) == FALSE) {
gammascale <- wt.filter.shift( x @filter, v.range, wavelet = FALSE)
}
if(y.rlabs) {
rightlabels <- labels.dwt(w.range = w.range, v.range = v.range, gammah = gammawave, gammag = gammascale)
}
else {
rightlabels <- NULL
}
stackplot(matrixlist, y = NULL, y.rlabs = rightlabels, col = col, xtick.at = tickrate$xtick, ytick.at = tickrate$ytick)
}
boundary.as.matrix.dwt <- function( x , w.range, v.range, positive = TRUE)
{
Lprimej <- x @n.boundary
if(is.null(w.range) == FALSE) {
wavecoefmatrix <- array(NA, c(2*dim( x @series)[1], length(w.range)))
Wjplot <- rep(NA, 2*dim( x @series)[1])
wavecoefmatrix.index <- 0
for (j in w.range)
{
wavecoefmatrix.index <- wavecoefmatrix.index + 1
levelshift <- waveletshift.dwt( x @filter@L, j, dim( x @series)[1])%%(2^j)
rightgamma <- wt.filter.shift( x @filter, j, wavelet = TRUE)
leftgamma <- Lprimej[j] - rightgamma
if(positive) {
boundaryheight <- max( x @W[[j]])
}
else {
boundaryheight <- min( x @W[[j]])
}
if(leftgamma != 0) {
leftboundarypos <- leftgamma*(2^j) + .5*(2^j) - levelshift
}
else {
leftboundarypos <- 0
}
if(rightgamma != 0) {
rightboundarypos <- dim( x @series)[1] - rightgamma*(2^j) + .5*(2^j) - levelshift
}
else {
rightboundarypos <- 0
}
if(leftboundarypos != 0 && rightboundarypos != 0) {
leftspace <- rep(NA, 2*leftboundarypos - 1)
middlespace <- rep(NA, 2*(rightboundarypos - leftboundarypos) - 1)
rightspace <- rep(NA, 2*(dim( x @series)[1] - rightboundarypos))
Wjplot <- c(leftspace, boundaryheight, middlespace, boundaryheight, rightspace)
}
if(leftboundarypos == 0 && rightboundarypos != 0) {
middlespace <- rep(NA, 2*rightboundarypos - 1)
rightspace <- rep(NA, 2*(dim( x @series)[1] - rightboundarypos))
Wjplot <- c(middlespace, boundaryheight, rightspace)
}
if(leftboundarypos != 0 && rightboundarypos == 0) {
leftspace <- rep(NA, 2*leftboundarypos - 1)
middlespace <- rep(NA, 2*(dim( x @series)[1] - leftboundarypos))
Wjplot <- c(leftspace, boundaryheight, middlespace)
}
wavecoefmatrix[,wavecoefmatrix.index] <- Wjplot
}
}
if(is.null(v.range) == FALSE) {
scalecoefmatrix <- array(NA, c(2*dim( x @series)[1], length(v.range)))
Vjplot <- rep(NA, 2*dim( x @series)[1])
scalecoefmatrix.index <- 0
for(j in v.range)
{
scalecoefmatrix.index <- scalecoefmatrix.index + 1
levelshift <- scalingshift.dwt( x @filter@L, j, dim( x @series)[1])%%(2^j)
rightgamma <- wt.filter.shift( x @filter, j, wavelet = FALSE)
leftgamma <- Lprimej[j] - rightgamma
Vj <- x @V[[j]][,1] - mean( x @V[[j]][,1])
if(positive) {
boundaryheight <- max(Vj)
}
else {
boundaryheight <- min(Vj)
}
if(leftgamma != 0) {
leftboundarypos <- leftgamma*(2^j) + .5*(2^j) - levelshift
}
else {
leftboundarypos <- 0
}
if(rightgamma != 0) {
rightboundarypos <- dim( x @series)[1] - rightgamma*(2^j) + .5*(2^j) - levelshift
}
else {
rightboundarypos <- 0
}
if(leftboundarypos != 0 && rightboundarypos != 0) {
leftspace <- rep(NA, 2*leftboundarypos - 1)
middlespace <- rep(NA, 2*(rightboundarypos - leftboundarypos) - 1)
rightspace <- rep(NA, 2*(dim( x @series)[1] - rightboundarypos))
Vjplot <- c(leftspace, boundaryheight, middlespace, boundaryheight, rightspace)
}
if(leftboundarypos == 0 && rightboundarypos != 0) {
middlespace <- rep(NA, 2*rightboundarypos - 1)
rightspace <- rep(NA, 2*(dim( x @series)[1] - rightboundarypos))
Vjplot <- c(middlespace, boundaryheight, rightspace)
}
if(leftboundarypos != 0 && rightboundarypos == 0) {
leftspace <- rep(NA, 2*leftboundarypos - 1)
rightspace <- rep(NA, 2*(dim( x @series)[1] - leftboundarypos))
Vjplot <- c(leftspace, boundaryheight, rightspace)
}
scalecoefmatrix[,scalecoefmatrix.index] <- Vjplot
}
}
if(is.null(w.range) == FALSE && is.null(v.range) == FALSE) {
if( x @class.X == "ts" || x @class.X == "mts") {
rownames(wavecoefmatrix) <- seq( x @attr.X$tsp[1]-.5, x @attr.X$tsp[2], by = .5)
rownames(scalecoefmatrix) <- seq( x @attr.X$tsp[1]-.5, x @attr.X$tsp[2], by = .5)
}
else {
rownames(wavecoefmatrix) <- seq(.5, dim( x @series)[1], by = .5)
rownames(scalecoefmatrix) <- seq(.5, dim( x @series)[1], by = .5)
}
results <- cbind(wavecoefmatrix, scalecoefmatrix)
}
if(!is.null(w.range) && is.null(v.range)) {
if( x @class.X == "ts" || x @class.X == "mts") {
rownames(wavecoefmatrix) <- seq( x @attr.X$tsp[1]-.5, x @attr.X$tsp[2], by = .5)
}
else {
rownames(wavecoefmatrix) <- seq(.5, dim( x @series)[1], by = .5)
}
results <- wavecoefmatrix
}
if(is.null(w.range) && !is.null(v.range)) {
if( x @class.X == "ts" || x @class.X == "mts") {
rownames(scalecoefmatrix) <- seq( x @attr.X$tsp[1]-.5, x @attr.X$tsp[2], by = .5)
}
else {
rownames(scalecoefmatrix) <- seq(.5, dim( x @series)[1], by = .5)
}
results <- scalecoefmatrix
}
results
}
as.matrix.dwt <- function ( x , w.range, v.range)
{
if( x @aligned) {
x <- align( x , inverse = TRUE)
}
if(is.null(w.range) == FALSE) {
wavecoefmatrix <- array(NA, c(dim( x @series)[1], length(w.range)))
Wjplot <- rep(NA, dim( x @series)[1])
wavecoefmatrix.index <- 0
for (j in w.range) {
Wjplot <- rep(NA, dim( x @series)[1])
wavecoefmatrix.index <- wavecoefmatrix.index + 1
Wj <- x @W[[j]][,1]
Wjplot[(2^j)*(1:length(Wj))] <- Wj
Wjplot <- levelshift.dwt(Wjplot, waveletshift.dwt( x @filter@L, j, dim( x @series)[1]))
wavecoefmatrix[,wavecoefmatrix.index] <- Wjplot
}
}
if(is.null(v.range) == FALSE) {
scalecoefmatrix <- array(NA, c(dim( x @series)[1], length(v.range)))
Vjplot <- rep(NA, dim( x @series)[1])
scalecoefmatrix.index <- 0
for(k in v.range) {
scalecoefmatrix.index <- scalecoefmatrix.index + 1
Vj <- x @V[[k]][,1] - mean( x @V[[k]][,1])
Vjplot[(2^k)*(1:length(Vj))] <- Vj
Vjplot <- levelshift.dwt(Vjplot, scalingshift.dwt( x @filter@L, k, dim( x @series)[1]))
scalecoefmatrix[,scalecoefmatrix.index] <- Vjplot
}
}
if(is.null(w.range) == FALSE && is.null(v.range) == FALSE) {
if( x @class.X == "ts" || x @class.X == "mts") {
rownames(wavecoefmatrix) <- x @attr.X$tsp[1]: x @attr.X$tsp[2]
rownames(scalecoefmatrix) <- x @attr.X$tsp[1]: x @attr.X$tsp[2]
}
else {
rownames(wavecoefmatrix) <- 1:dim( x @series)[1]
rownames(scalecoefmatrix) <- 1:dim( x @series)[1]
}
results <- cbind(wavecoefmatrix, scalecoefmatrix)
}
if(is.null(w.range) == FALSE && is.null(v.range)) {
if( x @class.X == "ts" || x @class.X == "mts") {
rownames(wavecoefmatrix) <- x @attr.X$tsp[1]: x @attr.X$tsp[2]
}
else {
rownames(wavecoefmatrix) <- 1:dim( x @series)[1]
}
results <- wavecoefmatrix
}
if(is.null(w.range) && is.null(v.range) == FALSE) {
if( x @class.X == "ts" || x @class.X == "mts") {
rownames(scalecoefmatrix) <- x @attr.X$tsp[1]: x @attr.X$tsp[2]
}
else {
rownames(scalecoefmatrix) <- 1:dim( x @series)[1]
}
results <- scalecoefmatrix
}
results
}
labels.dwt <- function (w.range = NULL, v.range = NULL, gammah = NULL, gammag = NULL)
{
verticallabel <- list()
if(is.null(w.range) == FALSE) {
for (j in 1:length(w.range)) {
label <- substitute(paste(T^-gamma,W[level]), list(gamma = gammah[j], level = w.range[j]))
verticallabel <- c(verticallabel, label)
}
}
if(is.null(v.range) == FALSE) {
for (i in 1:length(v.range)) {
label <- substitute(paste(T^-gamma,V[level]), list(gamma = gammag[i], level = v.range[i]))
verticallabel <- c(verticallabel, label)
}
}
results <- verticallabel
results
}
levelshift.dwt <- function (level, shift)
{
if(shift != 0) {
level <- c(level[(shift+1):length(level)], level[1:shift])
}
level
}
if (type == "stack") {
if(class( x ) != "dwt") {
stop("Invalid argument: 'dwt' object must be of class dwt.")
}
if(is.null(levels)) {
w.range <- 1: x @level
v.range <- max(w.range)
}
if(class(levels) == "numeric") {
if(length(levels) == 1) {
w.range <- 1:levels
v.range <- max(w.range)
}
else {
w.range <- levels
v.range <- max(w.range)
}
}
if(class(levels) == "list") {
if(length(levels) < 1) {
w.range <- 1: x @level
v.range <- max(w.range)
}
if(length(levels) == 1) {
w.range <- levels[[1]]
v.range <- max(w.range)
}
else {
w.range <- levels[[1]]
v.range <- levels[[2]]
}
}
if(class(levels) != "list" && class(levels) != "vector" && class(levels) != "numeric" && is.null(levels) == FALSE) {
stop("Invalid argument: Levels must be numeric, vector, or list.")
}
if(plot.W == FALSE) {
w.range <- NULL
}
if(plot.V == FALSE) {
v.range <- NULL
}
if(plot.W == FALSE && plot.V == FALSE) {
stop("Invalid argument: At least one of plot.W or plot.V must be TRUE")
}
if(is.null(w.range) == FALSE) {
if(min(w.range) < 1 || x @level < max(w.range)) {
stop("Invalid argument: Elements of 'levels' must be compatible with the level of decomposition of the 'dwt' object.")
}
}
if(is.null(v.range) == FALSE) {
if(min(v.range) < 1 || x @level < max(v.range)) {
stop("Invalid argument: Elements of 'levels' must be compatible with the level of decomposition of the 'dwt' object.")
}
}
stackplot.dwt( x , w.range, v.range, col.plot, col.boundary, draw.boundary = draw.boundary, X.xtick.at = X.xtick.at, X.ytick.at = X.ytick.at, Stack.xtick.at = Stack.xtick.at, Stack.ytick.at = Stack.ytick.at, X.xlab = X.xlab, plot.X = plot.X)
}
else {
stop("Only the stackplot is currently implemented.")
}
}
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