################################################### ### chunk number 1: comphexsq ################################################### library("hexbin")#,lib.loc="/home/nikko/R-devel/hex.devel/tst") x <- rnorm(1000) y <- rnorm(1000) ##-- Hexagon Bins: -- hbin <- hexbin(x,y, xbins = 25) grid.newpage() pushViewport(viewport(layout=grid.layout(1, 2))) pushViewport(viewport(layout.pos.col=1,layout.pos.row=1)) plot(hbin, style="lattice", legend=0, xlab = "X", ylab = "Y", newpage=FALSE) popViewport() ##-- Manual "square" binning: -- ## grid rx <- range(x); bx <- seq(rx[1],rx[2], length=29) ry <- range(y); by <- seq(ry[1],ry[2], length=29) ## midpoints mx <- (bx[-1]+bx[-29])/2 my <- (by[-1]+by[-29])/2 gg <- as.matrix(expand.grid(mx,my))# dim = (28^2, 2) zz <- unname(table(cut(x, b = bx), cut(y, b = by)))# 28 x 28 ind <- zz > 0 if(FALSE) ## ASCII image: symnum(unname(ind)) sq.size <- zz[ind]^(1/3) / max(zz) ## if we used base graphics: ## symbols(gg[ind,], squares = sq.size, inches = FALSE, fg = 2, bg = 2) pushViewport(viewport(layout.pos.col=2, layout.pos.row=1)) vp <- plot(hbin, style="lattice", legend=0, xlab = "X", ylab = "Y", newpage=FALSE, type="n") pushHexport(vp$plot, clip="on") grid.rect(x= gg[ind,1], y=gg[ind,2], width = sq.size, height= sq.size, default.units = "native", gp = gpar(col="black",fill="black")) popViewport() ################################################### ### chunk number 2: nearNeighbor ################################################### x <- -2:2 sq <- expand.grid(list(x = x, y = c(-1,0,1))) fc.sq <- rbind(sq,sq+.5) # face centered squares fc.sq$y <- sqrt(3)*fc.sq$y # stretch y by the sqrt(3) nr <- length(fc.sq$x)/2 ################################################### ### chunk number 3: ################################################### par(mfrow = c(3,1)) par(mai = c(.1667,0.2680,0.1667,0.2680)) ##par(mai=.25*par("mai")) plot(fc.sq$x, fc.sq$y, pch = 16, cex = .5) nr <- length(fc.sq$x)/2 points(fc.sq$x[1:nr], fc.sq$y[1:nr], pch = 15, cex = .7, col = 5) points(-.25,.15, col = 2, pch = 16, cex = .5) par(mai = c(.1667, 0.2680, 0.1667, 0.2680))##par(mai=.25*par("mai")) plot(fc.sq$x, fc.sq$y, pch = 16, cex = .5) nr <- length(fc.sq$x)/2 points(fc.sq$x[1:nr], fc.sq$y[1:nr], pch = 15, cex = .7, col = 5) px <- c(-1,-2,-2,-1)+1 py <- sqrt(3)*(c(0,0,-1,-1)+1) polygon(px, py, density = 0, col = 5) polygon(px+.5, py-sqrt(3)/2, density = 0) points(-.25, .15, col = 2, pch = 16, cex = .5) par(mai = c(.1667, 0.2680, 0.1667, 0.2680))##par(mai=.25*par("mai")) plot(fc.sq$x, fc.sq$y, pch = 16, cex = .5) nr <- length(fc.sq$x)/2 points(fc.sq$x[1:nr], fc.sq$y[1:nr], pch = 15, cex = .7, col = 5) px <- c(-1,-2,-2,-1) + 1 py <- sqrt(3)*(c(0,0,-1,-1) + 1) polygon(px, py, density = 0, col = 5) polygon(px+.5, py-sqrt(3)/2, density = 0) px <- c(-.5,-.5,0,.5, .5, 0) py <- c(-.5, .5,1,.5,-.5,-1) /sqrt(3) polygon(px, py, col = gray(.5), density = 0) polygon(px-.5, py+sqrt(3)/2, density = 0, col = 4) points(-.25, .15, col = 2, pch = 16, cex = .5) plot.new() arrows(-.25, .15, 0, 0, angle = 10, length = .05) ################################################### ### chunk number 4: basic ################################################### x <- rnorm(20000) y <- rnorm(20000) hbin <- hexbin(x,y, xbins = 40) plot(hbin) ################################################### ### chunk number 5: showcol ################################################### #nf <- layout(matrix(c(1,1,2,2,4,3,3,4), ncol=4, nrow=2, byrow=TRUE), # widths = rep(1,4), heights=rep(1,2)) grid.newpage() mar <- unit(0.1 + c(5,4,4,2),"lines") mai <- as.numeric(convertUnit(mar, "inches")) vpin <- c(convertWidth (unit(1,"npc"),"inches"), convertHeight(unit(1,"npc"),"inches")) shape <- optShape(height = vpin[2],width = vpin[1]/3,mar = mai) x <- rnorm(20000) y <- rnorm(20000) hbin <- hexbin(x,y, xbins = 40, shape = shape) grid.newpage() pushViewport(viewport(layout = grid.layout(1, 3))) pushViewport(viewport(layout.pos.col = 1,layout.pos.row = 1)) plot(hbin, legend = 0, xlab = "X", ylab = "Y", newpage = FALSE) popViewport() pushViewport(viewport(layout.pos.col = 2,layout.pos.row = 1)) plot(hbin, legend = 0, xlab = "X", ylab = "Y", newpage = FALSE, colramp = terrain.colors) popViewport() pushViewport(viewport(layout.pos.col = 3,layout.pos.row = 1)) plot(hbin, legend = 0, xlab = "X", ylab = "Y", newpage = FALSE, colramp = BTY) popViewport() ################################################### ### chunk number 6: showsmth ################################################### #nf <- layout(matrix(c(1,1,2,2,4,3,3,4), ncol=4, nrow=2, byrow=TRUE), # widths = rep(1,4), heights=rep(1,2)) x <- rnorm(10000) y <- rnorm(10000) grid.newpage() mar <- unit(0.1 + c(5,4,4,2),"lines") mai <- as.numeric(convertUnit(mar, "inches")) vpin <- c(convertWidth (unit(1,"npc"), "inches"), convertHeight(unit(1,"npc"), "inches")) shape <- optShape(height = vpin[2],width = vpin[1]/3,mar = mai) hbin <- hexbin(x,y, xbins = 30,shape = shape) hsmbin1 <- hsmooth(hbin, c( 1, 0,0)) hsmbin2 <- hsmooth(hbin, c(24,12,0)) hsmbin2@count <- as.integer(ceiling(hsmbin2@count/sum(hsmbin2@wts))) hsmbin3 <- hsmooth(hbin,c(48,24,12)) hsmbin3@count <- as.integer(ceiling(hsmbin3@count/sum(hsmbin3@wts))) pushViewport(viewport(layout = grid.layout(1, 3))) pushViewport(viewport(layout.pos.col = 1, layout.pos.row = 1)) plot(hsmbin1, legend = 0, xlab = "X", ylab = "Y", newpage= FALSE,colramp = BTY) popViewport() pushViewport(viewport(layout.pos.col = 2,layout.pos.row = 1)) plot(hsmbin2, legend = 0, xlab = "X", ylab = "Y", newpage= FALSE,colramp = BTY) popViewport() pushViewport(viewport(layout.pos.col = 3,layout.pos.row = 1)) plot(hsmbin3, legend = 0, xlab = "X", ylab = "Y", newpage= FALSE,colramp = BTY) popViewport() ################################################### ### chunk number 7: hbox ################################################### data(NHANES) #grid.newpage() mar <- unit(0.1 + c(5,4,4,2),"lines") mai <- as.numeric(convertUnit(mar, "inches")) #vpin <- c(convertWidth (unit(1,"npc"), "inches"), # convertHeight(unit(1,"npc"), "inches")) vpin <- c(unit(6,"inches"),unit(4, "inches")) shape <- optShape(height = vpin[2], width = vpin[1], mar = mai) hb <- hexbin(NHANES$Transferin, NHANES$Hemoglobin, shape = shape) hbhp <- hboxplot(erode(hb,cdfcut = .05),unzoom = 1.3) pushHexport(hbhp,clip = 'on') hexGraphPaper(hb,fill.edges = 3) popViewport() ################################################### ### chunk number 8: hdiff ################################################### #grid.newpage() shape <- optShape(height = vpin[2],width = vpin[1],mar = mai) xbnds <- range(NHANES$Transferin,na.rm = TRUE) ybnds <- range(NHANES$Hemoglobin,na.rm = TRUE) hbF <- hexbin(NHANES$Transferin[NHANES$Sex == "F"], NHANES$Hemoglobin[NHANES$Sex == "F"], xbnds = xbnds, ybnds = ybnds, shape = shape) hbM <- hexbin(NHANES$Transferin[NHANES$Sex == "M"], NHANES$Hemoglobin[NHANES$Sex == "M"], xbnds = xbnds, ybnds = ybnds, shape = shape) plot.new() hdiffplot(erode(hbF,cdfcut = .25),erode(hbM,cdfcut = .25),unzoom = 1.3) ################################################### ### chunk number 9: marray1 ################################################### ### Need to redo this part. library("marray") data(swirl, package = "marray") ## use swirl dataset hb1 <- hexbin(maA(swirl[,1]), maM(swirl[,1]), xbins = 40) grid.newpage() pushViewport(viewport(layout = grid.layout(1, 2))) pushViewport(viewport(layout.pos.col = 1,layout.pos.row = 1)) nb <- plot(hb1, type = 'n', xlab = 'A', ylab = 'M', main = "M vs A plot with points", legend = 0, newpage = FALSE) pushHexport(nb$plot.vp) grid.points(maA(swirl[,1]), maM(swirl[,1]),pch = 16,gp = gpar(cex = .4)) popViewport() nb$hbin <- hb1 hexVP.abline(nb$plot.vp,h = 0,col = gray(.6)) hexMA.loess(nb) popViewport() pushViewport(viewport(layout.pos.col = 2,layout.pos.row = 1)) hb <- plotMAhex(swirl[,1], newpage = FALSE, main = "M vs A plot with hexagons", legend = 0) hexVP.abline(hb$plot.vp,h = 0,col = gray(.6)) hexMA.loess(hb) popViewport() ################################################### ### chunk number 10: addto ################################################### hplt <- plot(hb1,style = 'centroid',border = gray(.65)) pushHexport(hplt$plot.vp) ll.fit <- loess(hb1@ycm ~ hb1@xcm, weights = hb1@count, span = .4) pseq <- seq(hb1@xbnds[1]+1, hb1@xbnds[2]-1, length = 100) grid.lines(pseq, predict(ll.fit,pseq), gp = gpar(col = 2), default.units = "native")