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Type 'q()' to quit R. > #' > #' Header for all (concatenated) test files > #' > #' Require spatstat.explore > #' Obtain environment variable controlling tests. > #' > #' $Revision: 1.5 $ $Date: 2020/04/30 05:31:37 $ > > require(spatstat.explore) Loading required package: spatstat.explore Loading required package: spatstat.data Loading required package: spatstat.geom spatstat.geom 3.2-8 Loading required package: spatstat.random spatstat.random 3.2-2 Loading required package: nlme spatstat.explore 3.2-6 > FULLTEST <- (nchar(Sys.getenv("SPATSTAT_TEST", unset="")) > 0) > ALWAYS <- TRUE > cat(paste("--------- Executing", + if(FULLTEST) "** ALL **" else "**RESTRICTED** subset of", + "test code -----------\n")) --------- Executing **RESTRICTED** subset of test code ----------- > #' > #' tests/kernelstuff.R > #' > #' $Revision: 1.2 $ $Date: 2023/11/05 01:49:45 $ > > local({ + if(FULLTEST) { + #' test all cases in kernels.R + kernames <- c("gaussian", "rectangular", "triangular", + "epanechnikov", "biweight", "cosine", "optcosine") + X <- rnorm(20) + U <- runif(20) + for(ker in kernames) { + dX <- dkernel(X, ker) + fX <- pkernel(X, ker) + qU <- qkernel(U, ker) + m0 <- kernel.moment(0, 0, ker) + m1 <- kernel.moment(1, 0, ker) + m2 <- kernel.moment(2, 0, ker) + m3 <- kernel.moment(3, 0, ker) + } + } + }) > > #' > #' tests/Kfuns.R > #' > #' Various K and L functions and pcf > #' > #' $Revision: 1.43 $ $Date: 2022/06/17 01:47:08 $ > #' > #' Assumes 'EveryStart.R' was run > > if(FULLTEST) { + Cells <- cells + Amacrine <- amacrine + Redwood <- redwood + } else { + ## reduce numbers of data + dummy points + spatstat.options(npixel=32, ndummy.min=16) + Cells <- cells[c(FALSE, TRUE)] + Amacrine <- amacrine[c(FALSE, TRUE)] + Redwood <- redwood[c(FALSE, TRUE)] + } > > > myfun <- function(x,y){(x+1) * y } # must be outside > > local({ + if(FULLTEST) { + #' supporting code + rmax.rule("Kscaled", owin(), 42) + implemented.for.K(c("border", "bord.modif", "translate", "good", "best"), + "polygonal", TRUE) + implemented.for.K(c("border", "bord.modif", "translate", "good", "best"), + "mask", TRUE) + implemented.for.K(c("border", "isotropic"), "mask", TRUE) + implemented.for.K(c("border", "isotropic"), "mask", FALSE) + #' shortcuts + D <- density(Cells) + K <- Kborder.engine(Cells, rmax=0.4, weights=D, ratio=TRUE) + K <- Knone.engine(Cells, rmax=0.4, weights=D, ratio=TRUE) + allcor <- c("none", "border", "bord.modif","isotropic", "translate") + K <- Krect.engine(Cells, rmax=0.4, ratio=TRUE, correction=allcor) + K <- Krect.engine(Cells, rmax=0.4, ratio=TRUE, correction=allcor, + weights=D) + K <- Krect.engine(Cells, rmax=0.4, ratio=TRUE, correction=allcor, + use.integers=FALSE) + #' Kest special code blocks + K <- Kest(Cells, var.approx=TRUE, ratio=FALSE) + Z <- distmap(Cells) + 1 + Kb <- Kest(Cells, correction=c("border","bord.modif"), + weights=Z, ratio=TRUE) + Kn <- Kest(Cells, correction="none", + weights=Z, ratio=TRUE) + Knb <- Kest(Cells, correction=c("border","bord.modif","none"), + weights=Z, ratio=TRUE) + } + if(ALWAYS) { + bigint <- 50000 # This is only "big" on a 32-bit system where + # sqrt(.Machine$integer.max) = 46340.9 + X <- runifpoint(bigint) + Z <- as.im(1/bigint, owin()) + Kb <- Kest(X, correction=c("border","bord.modif"), + rmax=0.02, weights=Z, ratio=TRUE) + } + if(FULLTEST) { + Kn <- Kest(X, correction="none", + rmax=0.02, weights=Z, ratio=TRUE) + Knb <- Kest(X, correction=c("border","bord.modif","none"), + rmax=0.02, weights=Z, ratio=TRUE) + #' pcf.ppp special code blocks + pr <- pcf(Cells, ratio=TRUE, var.approx=TRUE) + pc <- pcf(Cells, domain=square(0.5)) + pcr <- pcf(Cells, domain=square(0.5), ratio=TRUE) + pw <- pcf(Redwood, correction="none") + pwr <- pcf(Redwood, correction="none", ratio=TRUE) + pv <- pcf(Redwood, kernel="rectangular") + p1 <- pcf(Redwood[1]) + #' pcf.fv + K <- Kest(Redwood) + g <- pcf(K, method="a") + g <- pcf(K, method="c") + g <- pcf(K, method="d") + #' Kinhom code blocks + X <- rpoispp(function(x,y) { 100 * x }, 100, square(1)) + lambda <- 100 * X$x + Kin <- Kinhom(X, lambda, correction=c("none", "border")) + lambda2 <- outer(lambda, lambda, "*") + Ki2 <- Kinhom(X, lambda2=lambda2, diagonal=FALSE, + correction=c("translate", "isotropic")) + } + if(ALWAYS) { + #' edge corrections + rr <- rep(0.1, npoints(Cells)) + eC <- edge.Ripley(Cells, rr) + eI <- edge.Ripley(Cells, rr, method="interpreted") + if(max(abs(eC-eI)) > 0.1) + stop("Ripley edge correction results do not match") + } + if(FULLTEST) { + a <- rmax.Ripley(square(1)) + a <- rmax.Rigid(square(1)) + a <- rmax.Ripley(as.polygonal(square(1))) + a <- rmax.Rigid(as.polygonal(square(1))) + a <- rmax.Ripley(letterR) + a <- rmax.Rigid(letterR) + } + if(ALWAYS) { + #' run slow code for edge correction and compare results + op <- spatstat.options(npixel=128) + X <- Redwood[c(TRUE, FALSE, FALSE, FALSE)] + Window(X) <- as.polygonal(Window(X)) + Eapprox <- edge.Trans(X) + Eexact <- edge.Trans(X, exact=TRUE) + maxrelerr <- max(abs(1 - range(Eapprox/Eexact))) + if(maxrelerr > 0.1) + stop(paste("Exact and approximate algorithms for edge.Trans disagree by", + paste0(round(100*maxrelerr), "%")), + call.=FALSE) + spatstat.options(op) + } + }) > > local({ + if(FULLTEST) { + #' ---- multitype ------ + K <- Kcross(Amacrine, correction=c("none", "bord.modif")) + K <- Kcross(Amacrine, correction=c("none", "bord", "bord.modif"), + ratio=TRUE) + #' inhomogeneous multitype + K2 <- Kcross.inhom(Amacrine, lambdaX=densityfun(Amacrine)) + K3 <- Kcross.inhom(Amacrine, lambdaX=density(Amacrine, at="points")) + K5 <- Kcross.inhom(Amacrine, correction="bord.modif") + #' markconnect, markcorr + M <- markconnect(Amacrine, "on", "off", normalise=TRUE) + M <- markcorr(longleaf, normalise=TRUE, + correction=c("isotropic", "translate", "border", "none")) + M <- markcorr(longleaf, normalise=TRUE, fargs=list()) + #' Kmark (=markcorrint) + X <- runifpoint(100) %mark% runif(100) + km <- Kmark(X, f=atan2) + km <- Kmark(X, f1=sin) + km <- Kmark(X, f="myfun") + aa <- Kmark(X, normalise=FALSE, returnL=FALSE) + aa <- Kmark(X, normalise=FALSE, returnL=TRUE) + aa <- Kmark(X, normalise=TRUE, returnL=FALSE) + aa <- Kmark(X, normalise=TRUE, returnL=TRUE) + } + }) > > local({ + if(FULLTEST) { + #' various modified K functions + #' + #' directional K functions + #' + a <- Ksector(swedishpines, + -pi/2, pi/2, units="radians", + correction=c("none", "border", "bord.modif", + "Ripley", "translate"), + ratio=TRUE) + plot(a) + #' + #' local K functions + #' + Z <- as.im(intensity(swedishpines), W=Window(swedishpines)) + ZX <- Z[swedishpines] + a <- localLinhom(swedishpines, lambda=Z) + a <- localLinhom(swedishpines, lambda=ZX) + a <- localLinhom(swedishpines, lambda=Z, correction="none") + a <- localLinhom(swedishpines, lambda=Z, correction="translate") + a <- localLcross(Amacrine) + a <- localLcross(Amacrine, from="off", to="off") + a <- localKdot(Amacrine) + a <- localLdot(Amacrine) + a <- localKcross.inhom(Amacrine) + a <- localLcross.inhom(Amacrine) + Zed <- solapply(intensity(amacrine), as.im, W=Window(amacrine)) + Lum <- evaluateCovariateAtPoints(Zed, Amacrine) + moff <- (marks(Amacrine) == "off") + a <- localLcross.inhom(Amacrine, from="off", to="on", lambdaX=Zed) + a <- localLcross.inhom(Amacrine, from="off", to="on", lambdaX=Lum) + a <- localLcross.inhom(Amacrine, from="off", to="on", + lambdaFrom=Lum[moff], lambdaTo=Lum[!moff]) + a <- localLcross.inhom(Amacrine, from="off", to="on", lambdaX=Zed, + correction="none") + a <- localLcross.inhom(Amacrine, from="off", to="on", lambdaX=Zed, + correction="translate") + #' + #' cases of resolve.lambdacross + #' + h <- resolve.lambdacross(Amacrine, moff, !moff) + h <- resolve.lambdacross(Amacrine, moff, !moff, lambdaX=Zed) + h <- resolve.lambdacross(Amacrine, moff, !moff, lambdaX=Lum) + h <- resolve.lambdacross(Amacrine, moff, !moff, + lambdaI=Zed[["off"]], lambdaJ=Zed[["on"]]) + h <- resolve.lambdacross(Amacrine, moff, !moff, + lambdaI=Lum[moff], lambdaJ=Lum[!moff]) + d <- densityfun(unmark(Amacrine), sigma=0.1) + dm <- lapply(split(Amacrine), densityfun, sigma=0.1) + h <- resolve.lambdacross(Amacrine, moff, !moff, lambdaX=d) + h <- resolve.lambdacross(Amacrine, moff, !moff, + lambdaI=dm[["off"]], lambdaJ=dm[["on"]]) + h <- resolve.lambdacross(Amacrine, moff, !moff, + lambdaX=function(x,y,m){ d(x,y) }) + #' + #' multitype inhomogeneous pcf + #' + g <- pcfcross.inhom(Amacrine, + lambdaI=dm[["off"]], lambdaJ=dm[["on"]]) + + #' + #' lohboot code blocks + #' + Ared <- lohboot(Redwood, fun="Kest", block=TRUE, + Vcorrection=TRUE, global=FALSE, correction="none") + Bred <- lohboot(Redwood, block=TRUE, basicboot=TRUE, global=FALSE) + Cred <- lohboot(Redwood, fun=Kest, block=TRUE, global=TRUE, + correction="translate") + Dred <- lohboot(Redwood, Lest) + Kred <- lohboot(Redwood, Kinhom) + Lred <- lohboot(Redwood, Linhom) + gred <- lohboot(Redwood, pcfinhom, sigma=0.1) + #' + X <- runifpoint(100, letterR) + AX <- lohboot(X, block=TRUE, nx=7, ny=10) + #' multitype + b <- lohboot(Amacrine, Kcross) + b <- lohboot(Amacrine, Lcross) + b <- lohboot(Amacrine, Kdot) + b <- lohboot(Amacrine, Ldot) + b <- lohboot(Amacrine, Kcross.inhom) + b <- lohboot(Amacrine, Lcross.inhom) + + ## Kscaled + A <- Lscaled(japanesepines, renormalise=TRUE, correction="all") + } + }) > > local({ + if(ALWAYS) { + #' From Ege, in response to a stackoverflow question. + #' The following example has two points separated by r = 1 with 1/4 of the + #' circumference outside the 10x10 window (i.e. area 100). + #' Thus the value of K^(r) should jump from 0 to + #' 100/(2\cdot 1)\cdot ((3/4)^{-1} + (3/4)^{-1}) = 100 \cdot 4/3 = 133.333. + x <- c(4.5,5.5) + y <- c(10,10)-sqrt(2)/2 + W <- square(10) + X <- ppp(x, y, W) + compere <- function(a, b, where, tol=1e-6) { + descrip <- paste("discrepancy in isotropic edge correction", where) + err <- as.numeric(a) - as.numeric(b) + maxerr <- max(abs(err)) + blurb <- paste(descrip, "is", paste0(signif(maxerr, 4), ","), + if(maxerr > tol) "exceeding" else "within", + "tolerance of", tol) + message(blurb) + if(maxerr > tol) { + message(paste("Discrepancies:", paste(err, collapse=", "))) + stop(paste("excessive", descrip), call.=FALSE) + } + invisible(TRUE) + } + ## Testing: + eX <- edge.Ripley(X, c(1,1)) + compere(eX, c(4/3,4/3), "at interior point of rectangle") + ## Corner case: + Y <- X + Y$x <- X$x-4.5+sqrt(2)/2 + eY <- edge.Ripley(Y, c(1,1)) + compere(eY, c(2,4/3), "near corner of rectangle") + ## Invoke polygonal code + Z <- rotate(Y, pi/4) + eZdebug <- edge.Ripley(Z, c(1,1), internal=list(debug=TRUE)) + compere(eZdebug, c(2,4/3), "at interior point of polygon (debug on)") + ## test validity without debugger,in case of quirks of compiler optimisation + eZ <- edge.Ripley(Z, c(1,1)) + compere(eZ, c(2,4/3), "at interior point of polygon (debug off)") + } + }) discrepancy in isotropic edge correction at interior point of rectangle is 2.22e-16, within tolerance of 1e-06 discrepancy in isotropic edge correction near corner of rectangle is 8.882e-16, within tolerance of 1e-06 /// Debug level 3 /// ------- centre[0] = (-6.071068, 7.071068) ------ boundary distance 0.707107 radius[0] = 1.000000 ... Edge[0] = (0.000000,0.000000) to (7.071068,7.071068) Left: det = -35.857864 Right: det = -171.715729 Top: det = -34143.145751 Finished cutting; ncut = 0 contrib = -0.000000 ... Edge[1] = (7.071068,7.071068) to (0.000000,14.142136) Left: det = -171.715729 Right: det = -35.857864 Top: det = -34143.145751 Finished cutting; ncut = 0 contrib = 0.000000 ... Edge[2] = (0.000000,14.142136) to (-7.071068,7.071068) Left: det = -35.857864 Right: det = 0.000000 det = 0 Top: det = 200.000000 det > 0 hits + segment: t = 1.000000, theta = 3.141593 hits - segment: t = 0.858579, theta = 1.570796 Finished cutting; ncut = 2 theta[0] = 1.570796 theta[1] = 3.141593 Interval 0, width 1.570796:inside Interval 1, width 1.570796:outside Interval 2, width 3.141593:inside contrib = 4.712389 ... Edge[3] = (-7.071068,7.071068) to (0.000000,0.000000) Left: det = 0.000000 det = 0 Right: det = -35.857864 Top: det = 200.000000 det > 0 hits + segment: t = 0.141421, theta = -1.570796 hits - segment: t = 0.000000, theta = 3.141593 Finished cutting; ncut = 2 theta[0] = 3.141593 theta[1] = 4.712389 Interval 0, width 3.141593:outside Interval 1, width 1.570796:inside Interval 2, width 1.570796:outside contrib = -1.570796 Total = 3.141593 = 0.500000 * (2 * pi) ------- centre[1] = (-5.363961, 7.778175) ------ boundary distance 0.707107 radius[0] = 1.000000 ... Edge[0] = (0.000000,0.000000) to (7.071068,7.071068) Left: det = -27.772078 Right: det = -153.629942 Top: det = -34143.145751 Finished cutting; ncut = 0 contrib = -0.000000 ... Edge[1] = (7.071068,7.071068) to (0.000000,14.142136) Left: det = -153.629942 Right: det = -27.772078 Top: det = -27108.831175 Finished cutting; ncut = 0 contrib = 0.000000 ... Edge[2] = (0.000000,14.142136) to (-7.071068,7.071068) Left: det = -27.772078 Right: det = -1.914214 Top: det = 200.000000 det > 0 hits + segment: t = 0.900000, theta = 3.141593 hits - segment: t = 0.758579, theta = 1.570796 Finished cutting; ncut = 2 theta[0] = 1.570796 theta[1] = 3.141593 Interval 0, width 1.570796:inside Interval 1, width 1.570796:outside Interval 2, width 3.141593:inside contrib = 4.712389 ... Edge[3] = (-7.071068,7.071068) to (0.000000,0.000000) Left: det = -1.914214 Right: det = -27.772078 Top: det = -765.685425 Finished cutting; ncut = 0 contrib = -0.000000 Total = 4.712389 = 0.750000 * (2 * pi) discrepancy in isotropic edge correction at interior point of polygon (debug on) is 7.55e-15, within tolerance of 1e-06 discrepancy in isotropic edge correction at interior point of polygon (debug off) is 7.55e-15, within tolerance of 1e-06 > > > > reset.spatstat.options() > > proc.time() user system elapsed 2.01 0.29 2.28