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#' @title Remove tracking points which were tracked in a wavelet spectra
#'
#' @description Interactively select points for deletion
#'With the \code{\link{track_period_wavelet}} function it is possible to track points in a wavelet spectra,
#'however errors can be made and as such it is possible to delete these points with the \code{\link{delpts_tracked_period_wt}} function.
#'This function allows one to select points for deletion.
#'#'
#' @param tracking_pts Points tracked using the \code{\link{track_period_wavelet}} function.
#' @param wavelet Wavelet object created using the \code{\link{analyze_wavelet}} function.
#' @param n.levels Number of color levels \code{Default=100}.
#' @param periodlab label for the y-axis \code{Default="Period (metres)"}.
#' @param x_lab label for the x-axis \code{Default="depth (metres)"}.
#'@param palette_name Name of the color palette which is used for plotting.
#'The color palettes than can be chosen depends on which the R package is specified in
#'the color_brewer parameter. The included R packages from which palettes can be chosen
#'from are; the 'RColorBrewer', 'grDevices', 'ColorRamps' and 'Viridis' R packages.
#'There are many options to choose from so please
#'read the documentation of these packages \code{Default=rainbow}.
#'The R package 'viridis' has the color palette options: “magma”, “plasma”,
#'“inferno”, “viridis”, “mako”, and “rocket” and “turbo”
#'To see the color palette options of the The R pacakge 'RColorBrewer' run
#'the RColorBrewer::brewer.pal.info() function
#'The R package 'colorRamps' has the color palette options:"blue2green",
#'"blue2green2red", "blue2red", "blue2yellow", "colorRamps", "cyan2yellow",
#'"green2red", "magenta2green", "matlab.like", "matlab.like2" and "ygobb"
#'The R package 'grDevices' has the built in palette options:"rainbow",
#'"heat.colors", "terrain.colors","topo.colors" and "cm.colors"
#'To see even more color palette options of the The R pacakge 'grDevices' run
#'the grDevices::hcl.pals() function
#'@param color_brewer Name of the R package from which the color palette is chosen from.
#'The included R packages from which palettes can be chosen
#'are; the RColorBrewer, grDevices, ColorRamps and Viridis R packages.
#'There are many options to choose from so please
#'read the documentation of these packages. "\code{Default=grDevices}
#'
#'@return The results of the deletion of the tracking points is a matrix with 3 columns.
#'The first column is depth/time
#'The second column is the period of the tracked cycle
#'The third column is the sedimentation rate based on the duration (in time) of the tracked cycle
#'
#'
#'@examples
#'\donttest{
#'#Track the 405kyr eccentricity cycle in the magnetic susceptibility record
#'# of the Sullivan core of Pas et al., (2018)
#'
#'mag_wt <- analyze_wavelet(data = mag,
#' dj = 1/100,
#' lowerPeriod = 0.1,
#' upperPeriod = 254,
#' verbose = FALSE,
#' omega_nr = 10)
#'
#'#mag_track <- track_period_wavelet(astro_cycle = 405,
#'# wavelet=mag_wt,
#'# n.levels = 100,
#'# periodlab = "Period (metres)",
#'# x_lab = "depth (metres)"
#'# palette_name ="rainbow",
#'# color_brewer ="grDevices)
#'
#'#load the mag_track_solution data set to get an example data set from which
#'#data points can be deleted
#'
#'
#' mag_track_corr <- delpts_tracked_period_wt(tracking_pts = mag_track_solution,
#' wavelet = mag_wt,
#' n.levels = 100,
#' periodlab = "Period (metres)",
#' x_lab = "depth (metres)",
#' palette_name ="rainbow",
#' color_brewer ="grDevices")
#'}
#'
#' @export
#' @importFrom stats quantile
#' @importFrom graphics par
#' @importFrom grDevices dev.new
#' @importFrom graphics image
#' @importFrom graphics axis
#' @importFrom graphics mtext
#' @importFrom graphics text
#' @importFrom graphics box
#' @importFrom graphics polygon
#' @importFrom grDevices rgb
#' @importFrom graphics points
#' @importFrom stats na.omit
delpts_tracked_period_wt <- function(tracking_pts = NULL,
wavelet = NULL,
n.levels = 100,
periodlab = "Period (metres)",
x_lab = "depth (metres)",
palette_name ="rainbow",
color_brewer ="grDevices" ){
plot.COI = TRUE
if (color_brewer== "RColorBrewer"){
key.cols <- rev(colorRampPalette(brewer.pal(brewer.pal.info[palette_name,1],palette_name))(n.levels))
}
if (color_brewer== "colorRamps"){
color_brewer_Sel <- paste("colorRamps::",palette_name,"(n=n.levels)")
key.cols = eval(parse(text = color_brewer_Sel))
}
if (color_brewer == "grDevices"){
if (palette_name == "rainbow"){
color_brewer_Sel <- "grDevices::rainbow(n=n.levels, start = 0, end = 0.7)"
key.cols <- rev(eval(parse(text = color_brewer_Sel)))
}
else if (palette_name == "heat.colors"|
palette_name == "terrain.colors"|
palette_name == "topo.colors"|
palette_name == "cm.colors"){
color_brewer_Sel <- paste("grDevices::",palette_name,"(n=n.levels, start = 0, end = 1)")
key.cols <- rev(eval(parse(text = color_brewer_Sel)))
}
else{
key.cols <- hcl.colors(n=n.levels, palette = palette_name, alpha = NULL, rev = FALSE, fixup = TRUE)}}
if (color_brewer== "viridis"){
color_brewer_Sel <- paste("viridis::",palette_name,"(n=n.levels,direction = -1)")
key.cols = rev(eval(parse(text = color_brewer_Sel)))
}
useRaster = TRUE
plot.legend = TRUE
exponent = 1
periodtck = 0.02
periodtcl = 0.5
main = NULL
lwd = 2
lwd.axis = 1
legend.params = list(
width = 1.2,
shrink = 0.9,
mar = 5.1,
n.ticks = 6,
label.digits = 3,
label.format = "f",
lab = NULL,
lab.line = 2.5
)
axis.1 <- wavelet$axis.1
axis.2 <- wavelet$axis.2
Power = wavelet$Power ^ exponent
wavelet.levels = quantile(Power, probs = seq(
from = 0,
to = 1,
length.out = n.levels + 1
))
oldpar <- par(no.readonly = TRUE)
on.exit(par(oldpar))
image.plt = par()$plt
legend.plt = NULL
dev.new(width = 15,
height = 7,
noRStudioGD = TRUE)
if (plot.legend == T) {
legend.plt = par()$plt
char.size = par()$cin[1] / par()$din[1]
hoffset = char.size * par()$mar[4]
legend.width = char.size * legend.params$width
legend.mar = char.size * legend.params$mar
legend.plt[2] = 1 - legend.mar
legend.plt[1] = legend.plt[2] - legend.width
vmar = (legend.plt[4] - legend.plt[3]) * ((1 - legend.params$shrink) /
2)
legend.plt[4] = legend.plt[4] - vmar
legend.plt[3] = legend.plt[3] + vmar
image.plt[2] = min(image.plt[2], legend.plt[1] - hoffset)
par(plt = legend.plt)
key.marks = round(seq(
from = 0,
to = 1,
length.out = legend.params$n.ticks
) *
n.levels)
key.labels = formatC(
as.numeric(wavelet.levels),
digits = legend.params$label.digits,
format = legend.params$label.format
)[key.marks +
1]
image(
1,
seq(from = 0, to = n.levels),
matrix(wavelet.levels,
nrow = 1),
col = key.cols,
breaks = wavelet.levels,
useRaster = useRaster,
xaxt = "n",
yaxt = "n",
xlab = "",
ylab = ""
)
axis(
4,
lwd = lwd.axis,
at = key.marks,
labels = NA,
tck = 0.02,
tcl = (par()$usr[2] - par()$usr[1]) *
legend.params$width - 0.04
)
mtext(
key.labels,
side = 4,
at = key.marks,
line = 0.5,
las = 2,
font = par()$font.axis,
cex = par()$cex.axis
)
text(
x = par()$usr[2] + (1.5 + legend.params$lab.line) *
par()$cxy[1],
y = n.levels / 2,
labels = legend.params$lab,
xpd = NA,
srt = 270,
font = par()$font.lab,
cex = par()$cex.lab
)
box(lwd = lwd.axis)
par(new = TRUE, plt = image.plt)
}
par(mar = c(4, 4, 3, 5))
image(
x = wavelet$x,
y = axis.2,
z = t(Power),
col = key.cols,
breaks = wavelet.levels,
useRaster = TRUE,
ylab = periodlab,
xlab = x_lab,
axes = TRUE,
yaxt = "n" ,
main = main
)
if (plot.COI == T) {
polygon(wavelet$coi.1 ,
wavelet$coi.2,
border = NA,
col = rgb(1, 1, 1, 0.5))
}
box(lwd = lwd.axis)
period.tick = unique(trunc(axis.2))
period.tick[period.tick < log2(wavelet$Period[1])] = NA
period.tick = na.omit(period.tick)
period.tick.label = 2 ^ (period.tick)
axis(
2,
lwd = lwd.axis,
at = period.tick,
labels = NA,
tck = periodtck,
tcl = periodtcl
)
axis(
4,
lwd = lwd.axis,
at = period.tick,
labels = NA,
tck = periodtck,
tcl = periodtcl
)
mtext(
period.tick.label,
side = 2,
at = period.tick,
las = 1,
line = par()$mgp[2] - 0.5,
font = par()$font.axis,
cex = par()$cex.axis
)
points(
x = tracking_pts[, 1],
y = log2(tracking_pts[, 2]),
type = "p",
pch = 19,
col = "black",
lwd = "0.5"
)
x <- tracking_pts[, 1]
y <- log2(tracking_pts[, 2])
defaultW <- getOption("warn")
options(warn = -1)
xy <- xy.coords(x, y)
x <- xy$x
y <- xy$y
sel <- rep(FALSE, length(x))
res <- integer(0)
n <- length(x)
while (sum(sel) < n) {
ans <- identify(x[!sel], y[!sel], n = 1, plot = F,tolerance = 0.15)
if (!length(ans))
break
ans <- which(!sel)[ans]
points(x[ans], y[ans], pch = 19, col = "white")
sel[ans] <- TRUE
}
out <- tracking_pts[!sel,]
return(out)
}
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