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#' @title Plot continuous data as cumulative age distributions
#'
#' @description
#' Plot a dataset as a Cumulative Age Distribution (CAD), also known
#' as a `empirical cumulative distribution function'.
#'
#' @details
#' Empirical cumulative distribution functions or cumulative age
#' distributions are the most straightforward way to visualise the
#' probability distribution of multiple dates. Suppose that we have a
#' set of \eqn{n} dates \eqn{t_i}. The CAD is a step function that
#' sets out the rank order of the dates against their numerical value:
#'
#' \eqn{CAD(t) = \sum_i 1(t<t_i)/n}
#'
#' where 1(\eqn{\ast}) = 1 if \eqn{\ast} is true and 1(\eqn{\ast}) = 0
#' if \eqn{\ast} is false. CADs have two desirable properties
#' (Vermeesch, 2007). First, they do not require any pre-treatment or
#' smoothing of the data. This is not the case for histograms or
#' kernel density estimates. Second, it is easy to superimpose several
#' CADs on the same plot. This facilitates the intercomparison of
#' multiple samples. The interpretation of CADs is straightforward but
#' not very intuitive. The prominence of individual age components is
#' proportional to the steepness of the CAD. This is different from
#' probability density estimates such as histograms, in which such
#' components stand out as peaks.
#'
#' @param x a numerical vector OR an object of class \code{UPb},
#' \code{PbPb}, \code{ThPb}, \code{ArAr}, \code{KCa},
#' \code{UThHe}, \code{fissiontracks}, \code{ReOs}, \code{RbSr},
#' \code{SmNd}, \code{LuHf}, \code{ThU} or \code{detritals}
#' @seealso \code{\link{kde}}, \code{\link{radialplot}}
#' @rdname cad
#' @export
cad <- function(x,...){ UseMethod("cad",x) }
#' @param pch plot character to mark the beginning of each CAD step
#' @param verticals logical flag indicating if the horizontal lines of
#' the CAD should be connected by vertical lines
#' @param xlab x-axis label
#' @param hide vector with indices of aliquots that should be removed
#' from the plot.
#' @param col if \code{x} has class \code{detritals}, the name of one
#' of \code{R}'s built-in colour palettes (e.g.,
#' \code{'heat.colors'}, \code{'terrain.colors'},
#' \code{'topo.colors'}, \code{'cm.colors'}), OR a vector with the
#' names or codes of two colours to use as the start and end of a
#' colour ramp (e.g. \code{col=c('yellow','blue')}).
#'
#' For all other data formats, the name or code for a colour to give
#' to a single sample dataset
#'
#' @param ... optional arguments to the generic \code{plot} function
#'
#' @examples
#' attach(examples)
#' cad(DZ,verticals=FALSE,pch=20)
#' @rdname cad
#' @export
cad.default <- function(x,pch=NA,verticals=TRUE,xlab='age [Ma]',
col='black',hide=NULL,...){
calcit <- (1:length(x))%ni%hide
d <- x[calcit]
graphics::plot(range(d,na.rm=TRUE),c(0,1),type='n',
ylab='cumulative probability',xlab=xlab,...)
graphics::lines(stats::ecdf(d),pch=pch,verticals=verticals,col=col)
mymtext(get_ntit(d),line=0,adj=1)
}
#' @rdname cad
#' @export
cad.other <- function(x,pch=NA,verticals=TRUE,xlab='age [Ma]',
col='black',hide=NULL,...){
if (x$format<3) X <- x$x[,1]
else if (x$format==3) X <- x$x[,2]
else stop("CADs are not available for this format")
cad(X,pch=pch,verticals=verticals,xlab=xlab,col=col,hide=hide,...)
}
#' @rdname cad
#' @export
cad.detritals <- function(x,pch=NA,verticals=TRUE,xlab='age [Ma]',
col='rainbow',hide=NULL,...){
if (is.character(hide)) hide <- which(names(x)%in%hide)
x2plot <- clear(x,hide)
ns <- length(x2plot)
if (length(col)>1){
colour <- levels2colours(levels=0:(ns-1),col=col)
} else {
colour <- do.call(col,list(ns))
}
graphics::plot(range(x2plot,na.rm=TRUE),c(0,1),type='n',xlab=xlab,
ylab='cumulative probability',...)
for (i in 1:ns){
graphics::lines(stats::ecdf(x2plot[[i]]),pch=pch,
verticals=verticals,col=colour[i])
}
graphics::legend("bottomright",legend=names(x2plot),lwd=1,col=colour)
}
#' @param type scalar indicating whether to plot the
#' \eqn{^{207}}Pb/\eqn{^{235}}U age (\code{type}=1), the
#' \eqn{^{206}}Pb/\eqn{^{238}}U age (\code{type}=2), the
#' \eqn{^{207}}Pb/\eqn{^{206}}Pb age (\code{type}=3), the
#' \eqn{^{207}}Pb/\eqn{^{206}}Pb-\eqn{^{206}}Pb/\eqn{^{238}}U age
#' (\code{type}=4), the concordia_age (\code{type}=5), or the
#' \eqn{^{208}}Pb/\eqn{^{232}}Th age (\code{type}=6).
#'
#' @param cutoff.76 the age (in Ma) below which the
#' \eqn{^{206}}Pb/\eqn{^{238}}U-age and above which the
#' \eqn{^{207}}Pb/\eqn{^{206}}Pb-age is used. This parameter is
#' only used if \code{type=4}.
#' @param cutoff.disc discordance cutoff filter. This is an object of
#' class \code{\link{discfilter}}.
#' @param common.Pb common lead correction:
#'
#' \code{0}: none
#'
#' \code{1}: use the Pb-composition stored in
#'
#' \code{settings('iratio','Pb207Pb206')} (if \code{x} has class
#' \code{UPb} and \code{x$format<4});
#'
#' \code{settings('iratio','Pb206Pb204')} and
#' \code{settings('iratio','Pb207Pb204')} (if \code{x} has class
#' \code{PbPb} or \code{x} has class \code{UPb} and
#' \code{3<x$format<7}); or
#'
#' \code{settings('iratio','Pb206Pb208')} and
#' \code{settings('iratio','Pb207Pb208')} (if \code{x} has class
#' \code{UPb} and \code{x$format=7} or \code{8}).
#'
#' \code{2}: use the isochron intercept as the initial Pb-composition
#'
#' \code{3}: use the Stacey-Kramers two-stage model to infer the
#' initial Pb-composition (only applicable if \code{x} has class
#' \code{UPb})
#' @references Vermeesch, P., 2007. Quantitative geomorphology of the
#' White Mountains (California) using detrital apatite fission
#' track thermochronology. Journal of Geophysical Research: Earth
#' Surface, 112(F3).
#' @rdname cad
#' @export
cad.UPb <- function(x,pch=NA,verticals=TRUE,xlab='age [Ma]',
col='black',type=4,cutoff.76=1100,
cutoff.disc=discfilter(),common.Pb=0,
hide=NULL,...){
cad_helper(x,type=type,cutoff.76=cutoff.76,
cutoff.disc=cutoff.disc,common.Pb=common.Pb,
pch=pch,verticals=verticals,xlab=xlab,
col=col,hide=hide,...)
}
#' @rdname cad
#' @export
cad.PbPb <- function(x,pch=NA,verticals=TRUE,xlab='age [Ma]',
col='black',common.Pb=1,hide=NULL,...){
cad_helper(x,common.Pb=common.Pb,pch=pch,verticals=verticals,
xlab=xlab,col=col,hide=hide,...)
}
#' @param i2i `isochron to intercept': calculates the initial (aka
#' `inherited', `excess', or `common')
#' \eqn{^{40}}Ar/\eqn{^{36}}Ar, \eqn{^{40}}Ca/\eqn{^{44}}Ca,
#' \eqn{^{207}}Pb/\eqn{^{204}}Pb, \eqn{^{87}}Sr/\eqn{^{86}}Sr,
#' \eqn{^{143}}Nd/\eqn{^{144}}Nd, \eqn{^{187}}Os/\eqn{^{188}}Os,
#' \eqn{^{230}}Th/\eqn{^{232}}Th, \eqn{^{176}}Hf/\eqn{^{177}}Hf or
#' \eqn{^{204}}Pb/\eqn{^{208}}Pb ratio from an isochron
#' fit. Setting \code{i2i} to \code{FALSE} uses the default values
#' stored in \code{settings('iratio',...)}.
#'
#' @rdname cad
#' @export
cad.ArAr <- function(x,pch=NA,verticals=TRUE,xlab='age [Ma]',
col='black',i2i=FALSE,hide=NULL,...){
cad_helper(x,i2i=i2i,pch=pch,verticals=verticals,
xlab=xlab,col=col,hide=hide,...)
}
#' @rdname cad
#' @export
cad.KCa <- function(x,pch=NA,verticals=TRUE,xlab='age [Ma]',
col='black',i2i=FALSE,hide=NULL,...){
cad_helper(x,i2i=i2i,pch=pch,verticals=verticals,
xlab=xlab,col=col,hide=hide,...)
}
#' @rdname cad
#' @export
cad.ThPb <- function(x,pch=NA,verticals=TRUE,xlab='age [Ma]',
col='black',i2i=TRUE,hide=NULL,...){
cad_helper(x,i2i=i2i,pch=pch,verticals=verticals,
xlab=xlab,col=col,hide=hide,...)
}
#' @param Th0i initial \eqn{^{230}}Th correction.
#'
#' \code{0}: no correction
#'
#' \code{1}: project the data along an isochron fit
#'
#' \code{2}: if \code{x$format} is \code{1} or \code{2}, correct the
#' data using the measured present day \eqn{^{230}}Th/\eqn{^{238}}U,
#' \eqn{^{232}}Th/\eqn{^{238}}U and \eqn{^{234}}U/\eqn{^{238}}U
#' activity ratios in the detritus. If \code{x$format} is \code{3} or
#' \code{4}, correct the data using the measured
#' \eqn{^{238}}U/\eqn{^{232}}Th activity ratio of the whole rock, as
#' stored in \code{x} by the \code{read.data()} function.
#'
#' \code{3}: correct the data using an assumed initial
#' \eqn{^{230}}Th/\eqn{^{232}}Th-ratio for the detritus (only relevant
#' if \code{x$format} is \code{1} or \code{2}).
#'
#' @rdname cad
#' @export
cad.ThU <- function(x,pch=NA,verticals=TRUE, xlab='age [ka]',
col='black',Th0i=0,hide=NULL,...){
cad_helper(x,Th0i=Th0i,pch=pch,verticals=verticals,
xlab=xlab,col=col,hide=hide,...)
}
#' @rdname cad
#' @export
cad.ThPb <- function(x,pch=NA,verticals=TRUE,xlab='age [Ma]',
col='black',i2i=TRUE,hide=NULL,...){
cad_helper(x,i2i=i2i,pch=pch,verticals=verticals,
xlab=xlab,col=col,hide=hide,...)
}
#' @rdname cad
#' @export
cad.ReOs <- function(x,pch=NA,verticals=TRUE,xlab='age [Ma]',
col='black',i2i=TRUE,hide=NULL,...){
cad_helper(x,i2i=i2i,pch=pch,verticals=verticals,
xlab=xlab,col=col,hide=hide,...)
}
#' @rdname cad
#' @export
cad.SmNd <- function(x,pch=NA,verticals=TRUE,xlab='age [Ma]',
col='black',i2i=TRUE,hide=NULL,...){
cad_helper(x,i2i=i2i,pch=pch,verticals=verticals,
xlab=xlab,col=col,hide=hide,...)
}
#' @rdname cad
#' @export
cad.RbSr <- function(x,pch=NA,verticals=TRUE,xlab='age [Ma]',
col='black',i2i=TRUE,hide=NULL,...){
cad_helper(x,i2i=i2i,pch=pch,verticals=verticals,
xlab=xlab,col=col,hide=hide,...)
}
#' @rdname cad
#' @export
cad.LuHf <- function(x,pch=NA,verticals=TRUE,xlab='age [Ma]',
col='black',i2i=TRUE,hide=NULL,...){
cad_helper(x,i2i=i2i,pch=pch,verticals=verticals,
xlab=xlab,col=col,hide=hide,...)
}
#' @rdname cad
#' @export
cad.UThHe <- function(x,pch=NA,verticals=TRUE,xlab='age [Ma]',
col='black',hide=NULL,...){
cad_helper(x,pch=pch,verticals=verticals,
xlab=xlab,col=col,hide=hide,...)
}
#' @rdname cad
#' @export
cad.fissiontracks <- function(x,pch=NA,verticals=TRUE,xlab='age [Ma]',
col='black',hide=NULL,...){
cad_helper(x,pch=pch,verticals=verticals,
xlab=xlab,col=col,hide=hide,...)
}
cad_helper <- function(x,pch=NA,verticals=TRUE,xlab='age [Ma]',col='black',
hide=NULL,type=4,cutoff.76=1100,cutoff.disc=discfilter(),
common.Pb=0,i2i=FALSE,Th0i=0,...){
tt <- get_ages(x,type=type,cutoff.76=cutoff.76,cutoff.disc=cutoff.disc,
i2i=i2i,common.Pb=common.Pb,Th0i=Th0i,omit4c=hide)
cad.default(tt[,1],pch=pch,verticals=verticals,xlab=xlab,col=col,hide=hide,...)
}
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