search for: colkey

Karline, Thank you for your help. I discovered that in addition to including clim, I needed to omit breaks. This code uses one of your other examples as a starting point and works as intended: persp3D(z = volcano, zlim = c(-60, 200), phi = 20, colkey = list(length = 0.2, width = 0.4, shift = 0.15, cex.axis = 0.8, cex.clab = 0.85), lighting = TRUE, lphi = 90, clab = c("","height","m"), bty = "f", plot = FALSE) elev.classes <- matrix(findInterval(volcano, vec = seq(50, 200, by=50)), nrow=...

...r las proyecciones (curvas de nivel) en los planos XY, YZ y XZ, ¡menudo dibujo quedaría! ¡Gracias! Emilio library(plot3D) x <- seq(0, 1,length.out=50) y <- seq(0, 1,length.out=50) M <- mesh(x, y) surf3D(x = M$x, y = M$y, z = pmin( 1 - abs(M$x-0.7), 1-abs(M$y-0.2) ), colkey=TRUE, bty="g") -- ================================================= Emilio Torres Manzanera

...nQuery <- str2lang(columnQueryString) } else { columnQuery <- substitute(columnQuery) } colDataSubset <- colData(longTable)[eval(columnQuery), ] } else { colDataSubset <- colData(longTable) } rowKeys <- rowDataSubset$rowKey colKeys <- colDataSubset$colKey if (missing(assays)) { assays <- assayNames(longTable) } keepAssays <- assayNames(longTable) %in% assays assayData <- lapply(assays(longTable)[keepAssays], FUN=.filterLongDataTable, indexList=list(rowKeys,...

...r values (midpoints), and not at the breaks between classes. In the example below, the Elev Classes legend has labels at the breaks and nothing at the midpoints. How can I show the class labels at 1:3, and not the breaks? library(plot3D) persp3D(z = volcano, zlim = c(-60, 200), phi = 20, colkey = list(length = 0.2, width = 0.4, shift = 0.15, cex.axis = 0.8, cex.clab = 0.85), lighting = TRUE, lphi = 90, clab = c("","height","m"), bty = "f", plot = FALSE) # classify the volcano elevations with 3 classes elev.classes <- matrix(findIn...

Let me take an artifical matrix : dat = matrix(rnorm(200*200), 200, 200) My goal is to visualize this matrix according to the procedure, described in previous mails. I took Mendelssohn's advice and got following advice : ?plot.im Z <- setcov(owin()) plot(Z) .................... etc However I can not reproduce this example in my problem. How I can change my data

Thanks David, It is working. Holtman's also gave me a solution but, I wanted to have a color pallet for description of colors, that was not in his solution. However I need one small modification. If I want to plot only lower diagonal elements of 'dat' then how should I proceed? What I want is, to visualize only lower diagonal elements and having the color pallet on them only. Also