context("test layers") library(loon.shiny) pdf(NULL) test_that("test dependent layers", { p <- with(olive, l_plot(x=linoleic, y=oleic, color=Region, title="Olive Data")) ## Layer a Group l.g <- l_layer_group(p, label="Drawings", parent="root", index="end") ## Layer Points l.pts <- l_layer_points(p, x=c(200, 450, 1800), y=c(6000, 8000, 7000), color=c("green", "orange", "lightblue"), parent=l.g) l_scaleto_layer(p, l.pts) l_scaleto_world(p) l_configure(l.pts, color="thistle", size=30) l_configure(l.pts, x=seq(from=200,to=1600, length.out=20), y=seq(from=6000,to=8000, length.out=20), color="steelblue", size=20:39) l_layer_relabel(p, l.pts, "Different Sizes") l_layer_move(p, l.pts, parent="root") ## Polygon i <- with(olive, chull(linoleic, oleic)) x.hull <- olive$linoleic[i] y.hull <- olive$oleic[i] l_layer_polygon(p, x.hull, y.hull, color="thistle", linecolor="black", linewidth=4, parent=l.g) ## Rectangle l_layer_rectangle(p, x=c(1100, 1300), y=c(7600, 8300), linewidth=2) ## Oval l_layer_oval(p, x=c(1500, 1750), y=c(7900, 8100), color="", linecolor="orange", linewidth=4) ## Line x <- with(olive, linoleic[Region=="North"]) y <- with(olive, oleic[Region=="North"]) fit <- lm(y~x) ##summary(fit) xr <- seq(from=min(x), to=max(x), length.out=20) yp <- predict(fit, data.frame(x=xr), interval="prediction") l.pi <- l_layer_polygon(p, x=c(xr, rev(xr)), y=c(yp[,2],rev(yp[,3])), color="lightgreen", linecolor= "darkgreen", linewidth=2, label="predition interval west liguria") l.fit <- l_layer_line(p, x=xr, y=yp[,1], color="darkgreen", linewidth=8, label="fit west liguria") l_layer_move(p, l.pi, "root", "end") l_layer_raise(p, l.pi) ## Text (size does not work and color is gray) bbox <- l_layer_bbox(p, "root") l_layer_texts(p, x=seq(from=bbox[1], to=bbox[3], length.out=length(LETTERS)), y=rev(seq(from=bbox[2], to=bbox[4], length.out=length(LETTERS))), text=LETTERS, size=seq_along(LETTERS), angle=seq_along(LETTERS)/length(LETTERS)*360) x <- loon.shiny(p) x expect_equal(class(x), "shiny.appobj") })