## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ----setup-------------------------------------------------------------------- library(sapo) library(sf) set.seed(2024) ## ----------------------------------------------------------------------------- poly1 <- system.file("extdata", "poly1.rds", package = "sapo") |> readRDS() poly2 <- system.file("extdata", "poly2.rds", package = "sapo") |> readRDS() str(poly1) str(poly2) ## ----------------------------------------------------------------------------- plot(sf::st_geometry(poly1), col = "gray70") plot(sf::st_geometry(poly2), add = TRUE) ## ----------------------------------------------------------------------------- my_ht <- cmc_psat(poly1, poly2) ## ----------------------------------------------------------------------------- sig_level <- my_ht$alpha sig_plot <- data.frame(r = my_ht$distances, h = my_ht$mc_funct[NROW(my_ht$mc_funct), ], l = apply(my_ht$mc_funct, 2, quantile, prob = .5 * sig_level), u = apply(my_ht$mc_funct, 2, quantile, prob = 1 - .5 * sig_level)) ## par(mfrow = c(1, 2)) ## ## plot density part ## den <- density(my_ht$mc_sample) ## plot(den, main = sprintf("Test statistic (p-value = %.4f)", ## my_ht$p_value), ## xlab = "u", ylab = "density") ## value <- my_ht$mc_sample[length(my_ht$mc_sample)] ## polygon(c(den$x[den$x >= value], value), ## c(den$y[den$x >= value], 0), ## col = "coral1", ## border = "transparent") ## lines(den) ## H function with(sig_plot, plot(x = r, y = h, type = "l", col = 2, main = "Local envelope", xlab = "r", ylab = expression(H[12](r)), ylim = range(c(h, l, u)))) with(sig_plot, lines(x = r, y = l, lty = 2, col = 2)) with(sig_plot, lines(x = r, y = u, lty = 2, col = 2)) with(sig_plot, polygon(c(r, rev(r)), c(l, rev(u)), col = "coral1", lty = 0)) with(sig_plot, lines(x = r, y = h, col = 1))