Nothing
#
# tstat.R Estimation of T function
#
# $Revision: 1.12 $ $Date: 2018/07/02 15:45:48 $
#
Tstat <- local({
# helper functions
diffrange <- function(z) diff(range(z, na.rm=TRUE))
edgetri.Trans <- function(X, triid, trim=spatstat.options("maxedgewt")) {
triid <- as.matrix(triid)
ntri <- nrow(triid)
if(ntri == 0) return(numeric(0))
W <- rescue.rectangle(as.owin(X))
if(W$type != "rectangle")
stop("Translation correction is only implemented for rectangular windows")
x <- matrix(X$x[triid], nrow=ntri)
y <- matrix(X$y[triid], nrow=ntri)
dx <- apply(x, 1, diffrange)
dy <- apply(y, 1, diffrange)
wide <- diff(W$xrange)
high <- diff(W$yrange)
weight <- wide * high/((wide - dx) * (high - dy))
weight <- pmin.int(trim, weight)
return(weight)
}
# helper function
implemented.for.T <- function(correction, windowtype, explicit) {
rect <- (windowtype == "rectangle")
if(any(correction == "best")) {
# select best available correction
correction <- if(rect) "translate" else "border"
} else {
# available selection of edge corrections depends on window
if(!rect) {
tra <- (correction == "translate")
if(any(tra)) {
whinge <- "Translation correction is only implemented for rectangular windows"
if(explicit) {
if(all(tra)) stop(whinge) else warning(whinge)
}
correction <- correction[!tra]
}
}
}
return(correction)
}
# .......... main function ....................
Tstat <- function(X, ..., r=NULL, rmax=NULL,
correction=c("border", "translate"),
ratio=FALSE,
verbose=TRUE)
{
verifyclass(X, "ppp")
# rfixed <- !is.null(r)
npts <- npoints(X)
W <- Window(X)
areaW <- area(W)
lambda <- npts/areaW
lambda2 <- (npts * (npts - 1))/(areaW^2)
lambda3 <- (npts * (npts - 1) * (npts - 2))/(areaW^3)
rmaxdefault <- if(!is.null(rmax)) rmax else rmax.rule("K", W, lambda)
breaks <- handle.r.b.args(r, NULL, W, rmaxdefault=rmaxdefault)
r <- breaks$r
rmax <- breaks$max
# choose correction(s)
correction.given <- !missing(correction) && !is.null(correction)
if(!correction.given)
correction <- c("border", "bord.modif", "translate")
correction <- pickoption("correction", correction,
c(none="none",
border="border",
"bord.modif"="bord.modif",
trans="translate",
translate="translate",
translation="translate",
best="best"),
multi=TRUE)
correction <- implemented.for.T(correction, W$type, correction.given)
# recommended range of r values
alim <- c(0, min(rmax, rmaxdefault))
# this will be the output data frame
TT <- data.frame(r=r, theo= (pi/2) * (pi - 3 * sqrt(3)/4) * r^4)
desc <- c("distance argument r", "theoretical Poisson %s")
TT <- fv(TT, "r", quote(T(r)),
"theo", , alim, c("r","%s[pois](r)"), desc, fname="T")
# save numerator and denominator?
if(ratio) {
denom <- lambda2 * areaW
numT <- eval.fv(denom * TT)
denT <- eval.fv(denom + TT * 0)
attributes(numT) <- attributes(denT) <- attributes(TT)
attr(numT, "desc")[2] <- "numerator for theoretical Poisson %s"
attr(denT, "desc")[2] <- "denominator for theoretical Poisson %s"
}
# identify all close pairs
rmax <- max(r)
close <- closepairs(X, rmax, what="ijd", twice=FALSE, neat=FALSE)
I <- close$i
J <- close$j
DIJ <- close$d
nI <- length(I)
# estimate computation time
if(verbose) {
nTmax <- nI * (nI-1) /2
esttime <- exp(1.25 * log(nTmax) - 21.5)
message(paste("Searching", nTmax, "potential triangles;",
"estimated time", codetime(esttime)))
}
# find triangles with their diameters
tri <- trianglediameters(I, J, DIJ, nvert=npts)
stopifnot(identical(colnames(tri), c("i", "j", "k", "diam")))
# reassemble so each triangle appears 3 times, once for each vertex
II <- with(tri, c(i, j, k))
DD <- with(tri, rep.int(diam, 3))
if(any(correction == "none")) {
# uncorrected! For demonstration purposes only!
wh <- whist(DD, breaks$val) # no weights
numTun <- cumsum(wh)
denTun <- lambda3 * areaW
# uncorrected estimate of T
Tun <- numTun/denTun
TT <- bind.fv(TT, data.frame(un=Tun), "hat(%s)[un](r)",
"uncorrected estimate of %s",
"un")
if(ratio) {
# save numerator and denominator
numT <- bind.fv(numT, data.frame(un=numTun), "hat(%s)[un](r)",
"numerator of uncorrected estimate of %s",
"un")
denT <- bind.fv(denT, data.frame(un=denTun), "hat(%s)[un](r)",
"denominator of uncorrected estimate of %s",
"un")
}
}
if(any(correction == "border" | correction == "bord.modif")) {
# border method
# Compute distances to boundary
b <- bdist.points(X)
bI <- b[II]
# apply reduced sample algorithm
RS <- Kount(DD, bI, b, breaks)
if(any(correction == "bord.modif")) {
# modified border correction
denom.area <- eroded.areas(W, r)
numTbm <- RS$numerator
denTbm <- lambda3 * denom.area
Tbm <- numTbm/denTbm
TT <- bind.fv(TT, data.frame(bord.modif=Tbm), "hat(%s)[bordm](r)",
"modified border-corrected estimate of %s",
"bord.modif")
if(ratio) {
# save numerator and denominator
numT <- bind.fv(numT, data.frame(bord.modif=numTbm),
"hat(%s)[bordm](r)",
"numerator of modified border-corrected estimate of %s",
"bord.modif")
denT <- bind.fv(denT, data.frame(bord.modif=denTbm),
"hat(%s)[bordm](r)",
"denominator of modified border-corrected estimate of %s",
"bord.modif")
}
}
if(any(correction == "border")) {
numTb <- RS$numerator
denTb <- lambda2 * RS$denom.count
Tb <- numTb/denTb
TT <- bind.fv(TT, data.frame(border=Tb), "hat(%s)[bord](r)",
"border-corrected estimate of %s",
"border")
if(ratio) {
numT <- bind.fv(numT, data.frame(border=numTb), "hat(%s)[bord](r)",
"numerator of border-corrected estimate of %s",
"border")
denT <- bind.fv(denT, data.frame(border=denTb), "hat(%s)[bord](r)",
"denominator of border-corrected estimate of %s",
"border")
}
}
}
if(any(correction == "translate")) {
# translation correction
# apply to triangle list
edgewt <- edgetri.Trans(X, tri[, 1:3])
wh <- whist(tri$diam, breaks$val, edgewt)
numTtrans <- 3 * cumsum(wh)
denTtrans <- lambda3 * areaW
Ttrans <- numTtrans/denTtrans
h <- diameter(W)/2
Ttrans[r >= h] <- NA
TT <- bind.fv(TT, data.frame(trans=Ttrans), "hat(%s)[trans](r)",
"translation-corrected estimate of %s",
"trans")
if(ratio) {
numT <- bind.fv(numT, data.frame(trans=numTtrans),
"hat(%s)[trans](r)",
"numerator of translation-corrected estimate of %s",
"trans")
denT <- bind.fv(denT, data.frame(trans=denTtrans),
"hat(%s)[trans](r)",
"denominator of translation-corrected estimate of %s",
"trans")
}
}
# default plot will display all edge corrections
formula(TT) <- . ~ r
unitname(TT) <- unitname(X)
#
if(ratio) {
# finish up numerator & denominator
formula(numT) <- formula(denT) <- . ~ r
unitname(numT) <- unitname(denT) <- unitname(TT)
# tack on to result
TT <- rat(TT, numT, denT, check=FALSE)
}
return(TT)
}
Tstat
})
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