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Type 'q()' to quit R. > #' > #' Header for all (concatenated) test files > #' > #' Require spatstat.model > #' Obtain environment variable controlling tests. > #' > #' $Revision: 1.5 $ $Date: 2020/04/30 05:31:37 $ > > require(spatstat.model) Loading required package: spatstat.model Loading required package: spatstat.data Loading required package: spatstat.univar spatstat.univar 3.0-0 Loading required package: spatstat.geom spatstat.geom 3.3-1 Loading required package: spatstat.random spatstat.random 3.3-0 Loading required package: spatstat.explore Loading required package: nlme spatstat.explore 3.3-0 Loading required package: rpart spatstat.model 3.3-0 > 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/testaddvar.R > # > # test addvar options > # > # $Revision: 1.3 $ $Date: 2020/05/02 01:32:58 $ > > if(FULLTEST) { + local({ + X <- rpoispp(function(x,y){exp(3+3*x)}) + model <- ppm(X ~y) + addvar(model, "x", crosscheck=TRUE) + addvar(model, "x", bw.input="quad") + w <- square(0.5) + addvar(model, "x", subregion=w) + addvar(model, "x", subregion=w, bw.input="points") + Z <- as.im(function(x,y) { x }, Window(X)) + addvar(model, Z) + }) + } > # > # tests/testparres.R > # > # additional test of parres > # > # $Revision: 1.8 $ $Date: 2022/05/20 06:59:59 $ > # > > if(FULLTEST) { + local({ + X <- rpoispp(function(x,y){exp(3+x+2*x^2)}) + model <- ppm(X ~x+y) + + # options in parres (and code blocks in print.parres) + parres(model, "x") + parres(model, "x", smooth.effect=TRUE) + parres(model, "x", bw.input="quad") + w <- square(0.5) + parres(model, "x", subregion=w) + parres(model, "x", subregion=w, bw.input="quad") + f <- function(x,y) { x + y } + parres(model, f) + + # check whether 'update.ppm' has messed up internals + mod2 <- update(model, ~x) + parres(mod2, "x") + + #' other kinds of covariates + mod3 <- ppm(X ~ x + offset(y)) + parres(mod3, "offset(y)") + Z <- distmap(runifpoint(3)) + parres(mod3, Z) + mod4 <- ppm(X ~ sin(x), data=solist(B=Z)) + parres(mod4, "sin(x)") + parres(mod4, "B") + + #' models with interaction + mod5 <- ppm(cells ~ x, AreaInter(0.06)) + parres(mod5, "x") + dlin <- distfun(copper$SouthLines) + copfit <- ppm(copper$SouthPoints ~ dlin, Geyer(1,1)) + parres(copfit, "dlin") + + #' covariate need not be specified if there is only one. + parres(mod5) + parres(copfit) + + #' infrastructure + ltuae <- evaluateCovariate(42, cells) + LTUAE <- evaluateCovariate(ltuae, cells) + + fit <- ppm(amacrine ~ x * marks, nd=16) + dmat <- model.depends(fit) + check.separable(dmat, "x", c(x=FALSE, marks=FALSE), FALSE) + check.separable(dmat, "x", c(FALSE, FALSE), FALSE) + check.separable(dmat, "x", c(x=FALSE, marks=TRUE), FALSE) + }) + } > #' > #' tests/threedee.R > #' > #' Tests of 3D code > #' > #' $Revision: 1.8 $ $Date: 2020/05/02 01:32:58 $ > #' > > local({ + X <- runifpoint3(30) + Y <- runifpoint3(20) + if(FULLTEST) { + A <- runifpoint3(10, nsim=2) + Z <- ppsubset(X, 2:4) + } + ## + if(ALWAYS) { # includes C code + d <- pairdist(X, periodic=TRUE, squared=TRUE) + d <- crossdist(X, Y, squared=TRUE) + d <- crossdist(X, Y, squared=TRUE, periodic=TRUE) + #' + h <- has.close(X, 0.2) + h <- has.close(X, 0.2, periodic=TRUE) + h <- has.close(X, 0.2, Y=Y) + h <- has.close(X, 0.2, Y=Y, periodic=TRUE) + #' code blocks not otherwise reached + rmax <- 0.6 * max(nndist(X)) + g <- G3est(X, rmax=rmax, correction="rs") + g <- G3est(X, rmax=rmax, correction="km") + g <- G3est(X, rmax=rmax, correction="Hanisch") + g <- G3est(X, rmax=rmax, sphere="ideal") + g <- G3est(X, rmax=rmax, sphere="digital") + v <- sphere.volume() + v <- digital.volume() + #' older code + co <- coords(X) + xx <- co$x + yy <- co$y + zz <- co$z + gg1 <- g3engine(xx, yy, zz, correction="Hanisch G3") + gg2 <- g3engine(xx, yy, zz, correction="minus sampling") + ff1 <- f3engine(xx, yy, zz, correction="no") + ff2 <- f3engine(xx, yy, zz, correction="minus sampling") + } + ## + if(ALWAYS) { + #'class support + X <- runifpoint3(10) + print(X) + print(X %mark% runif(10)) + print(X %mark% factor(letters[c(1:5,5:1)])) + print(X %mark% data.frame(a=1:10, b=runif(10))) + da <- as.Date(paste0("2020-01-0", c(1:5,5:1))) + print(X %mark% da) + print(X %mark% data.frame(a=1:10, b=da)) + } + }) Three-dimensional point pattern: 10 points Box: [0, 1] x [0, 1] x [0, 1] units Marked three-dimensional point pattern: 10 points marks are numeric, of storage type 'double' Box: [0, 1] x [0, 1] x [0, 1] units Marked three-dimensional point pattern: 10 points Multitype, with levels = a, b, c, d, e Box: [0, 1] x [0, 1] x [0, 1] units Marked three-dimensional point pattern: 10 points Mark variables: a, b Box: [0, 1] x [0, 1] x [0, 1] units Marked three-dimensional point pattern: 10 points marks are dates, of class 'Date' Box: [0, 1] x [0, 1] x [0, 1] units Marked three-dimensional point pattern: 10 points Mark variables: a, b Box: [0, 1] x [0, 1] x [0, 1] units Warning messages: 1: In G3est: unrecognised argument 'sphere' was ignored 2: In G3est: unrecognised argument 'sphere' was ignored > # > # tests/triplets.R > # > # test code for triplet interaction > # > # $Revision: 1.9 $ $Date: 2022/05/22 08:45:38 $ > # > if(ALWAYS) { # C code, platform dependence + local({ + #' valid model + fit <- ppm(cells ~1, Triplets(0.1)) + fit + suffstat(fit) + #' invalid model + fitR <- ppm(redwood ~1, Triplets(0.1)) + fitR + suffstat(fitR) + #' hard core (zero triangles, coefficient is NA) + fit0 <- ppm(cells ~1, Triplets(0.05)) + fit0 + suffstat(fit0) + #' bug case (1 triangle in data) + fit1 <- ppm(cells ~1, Triplets(0.15)) + fit1 + suffstat(fit1) + #' simulation + X <- simulate(fit) + mod <- list(cif="triplets",par=list(beta=50,gamma=0.2,r=0.07), w=square(1)) + Xm <- rmh(model=mod,start=list(n.start=5), control=list(nrep=1e5)) + #' hard core + mod$par$gamma <- 0 + XmHard <- rmh(model=mod,start=list(n.start=5), control=list(nrep=1e5)) + }) + } Checking arguments..determining simulation windows...Starting simulation. Initial state...Ready to simulate. Generating proposal points...Running Metropolis-Hastings. Checking arguments..determining simulation windows...Starting simulation. Initial state...Ready to simulate. Generating proposal points...Running Metropolis-Hastings. > > proc.time() user system elapsed 3.81 0.31 4.10