similar to: lattice centre a diverging colour scale

Dear all, I got a couple of warnings using panel.levelplot.raster, In panel.levelplot.raster(..., interpolate = TRUE) : 'y' values are not equispaced; output will be wrong although I was quite sure my data were equally spaced (indeed, I created them with seq()). A closer look at the source code reveals that the function tests for exact uniformity in grid spacing, if

I am trying to display data ion top of colored rectangle on the same levelplot. While using superpose the shape and symbol for levelplot changes to small circle. I am unable to figure what exactly I am doing wrong... It may be straightforward solution... .I will appreciate help to fix this issue.

I've been thinking hard about generating colour schemes for data. There's quite a bit of existing code scattered in various packages for playing with colours and colour palettes, but I can't find the sort of thing I'm after for applying colours to data... To my mind a colour scheme is a mapping from data values to colours. There's a multitude of such mappings depending on the

Dear R communities May I seek your advices on how to change color the default in levelplot(), e.g. from the default of pink and light blue, to e.g. red and green ? The levelplot function has 1 of the arguments being panel (which is actually panel.levelplot), but I am not sure where the commands to alter the color. For example, I type: p1<-levelplot(my.mat,colorkey=FALSE), how could I

Hi guys, I have a matrix with values varying from approximately -0.7 to 0.33 that I want to create a heatmap/levelplot with. When I execute the levelplot function for my matrix, I end up getting colors that are adjusted to the max and min rather than around 0. In other words, ideally I would like to have a color ramp that goes from red (negative number), to white (0), to blue (positive);

I'm using the {lattice} "levelplot" function to make a (more or less) 2-d histogram, and for the most part it's working fine with my data. However, I can't get the color key to do what I need. I can give it labels and custom cutoffs, but my cutoff lines (and hence my labels) aren't evenly spaced, instead they're more-or-less logarithmic, starting at

Hello, Can somebody help me on a colour question? I have a levelplot made with the following syntax: library(lattice) inp <- read.csv("hoenne1", header = TRUE) levelplot(z~x*y, data = inp, region = TRUE, pretty = TRUE, col.regions = terrain.colours) The file "hoenne1" contains the data. I'll give a short example: x,y,z 0,0,1 0,1,1 0,2,1 1,0,2 1,2,2 0,2,2 1,2,3 2,2,2

hi, i am trying to figure out how to put a caption on the colour scale of a levelplot. there does not seem to be an option for this in levelplot(). i tried using mtext() but as soon as you put the text far out enough on the right of the plot, it goes beyond the plot boundary. so i tried to extend the margin on the right of the plot using par(mar) but this did not have any effect on the plot area.

Dear R gurus, I have got stuck on how to customise the colorkey generated by levelplot and contourplot, in the lattice package. This best illustrated by an example: library(lattice) levelplot(volcano^20/1e45,at=c(0,0.001,0.01,0.1,1,10)) The reason for raising the volcano dataset to the 20th power is to create a dataset with a large vertical exaggeration - this is similar in nature to the data

Dear all, I am trying represent a matrix of discrete values. At the moment I am using levelplot from the lattice package, but it seems to only work with numerical values. Is there an option in levelplot that will allow me to assign a color to a discrete value, or another package that will do the same? To clarify, with levelplot I can represent a matrix such as: [,1] [,2] [,3] [,4] [1,]

Hi all, I ran the code: > s <- stack(replicate(2, raster(matrix(runif(100), 10)))) > xy <- data.frame(coordinates(sampleRandom(s, 10, sp=TRUE)), + z1=runif(10), z2=runif(10)) > levelplot(s, margin=FALSE, at=seq(0, 1, 0.05)) + + layer(sp.points(xy, pch=ifelse(pts$z1 < 0.5, 2, 3), cex=2, col=1), columns=1) + + layer(sp.points(xy, pch=ifelse(pts$z2 < 0.5, 2,

You need to load the package 'rasterVis' > library(rasterVis) HTH, Eric On Thu, Mar 8, 2018 at 5:11 PM, lily li <chocold12 at gmail.com> wrote: > Hi all, > > I ran the code: > > s <- stack(replicate(2, raster(matrix(runif(100), 10)))) > > xy <- data.frame(coordinates(sampleRandom(s, 10, sp=TRUE)), > + z1=runif(10), z2=runif(10))

Can anyone tell me how to obtain a custom scale for the colorkey in each levelplot of a lattice? I am using lattice and levelplot to plot z = f(x, y) for multiple z variables. x and y values are the same across plots, but units for z are different and therefore I need to create a custom scale for each plot's key. It follows that I need to place each plot's key inside that plot's

Hi! Would like to plot two image plots with color scale (like levelplot (lattice) implements) in one graphic device. Tried to plot 2 levelplot's (lattice) (the data has not much in common) in one graphics device by setting par(mfrwo=c(2,1)) which does not work. Is there a way to force levelplot to use only a half of the graphic device? Is there a function like image which provides the color

Dear R-community, I am looking for some simple advice - I have a matrix (therefore 2 dimensional) of global temperature. Having read R-help I think that when I ask R to image() or levelplot() my matrix will it actually appear upside down - I think I therefore need to use the line: > levelplot(temperature.matrix[,ncol(output.temp):1], ........) to get it looking like it was on the globe due

Hi folks, I am new to lme in R, and I have a question regarding to the effect of scale function on the lme. When I use the function to scale and centre the levels of the fixed effects (e.g., X and Y; both have two levels) and write them to new columns: ex: dat$cX<-scale(as.numeric(dat$X),center = TRUE, scale = FALSE) dat$cY<-scale(as.numeric(dat$Y),center = TRUE, scale = FALSE) and compare

I am drawing level plots but I would like to specify the range of the colorkey, I am not having any success figuring this out so any help would be greatly appreciated! Here is an example of what I am trying to do: disp<-1 x <- seq(1, 10,by=1) y <- seq(1,10,by=1) g <- expand.grid(x = x, y = y) g$z <- 1/exp((abs(g$x-5)+abs(g$y-5))*disp) g$z<-g$z/sum(g$z) levelplot(z ~ x * y,

I routinely write graphics into multi-page PDFs, but some graphics (i.e. plots of large spatial datasets using levelplot()) can result in enormous files. I'm curious if there is a better way. For example: #First, make some data: library(lattice) d=expand.grid(x=1:1000,y=1:1000) d$z=rnorm(nrow(d)) #Now, the PDF. The following produces a PDF that's ~50MB.

Hola miembros de la lista, Estoy utilizando la función levelplot del paquete rasterVis para graficar un raster y quiero controlar la altura de la referencia de color (colorkey) del mapa, pero cuando cambio valores en el argumento "height" no parece provocar cambios. Alguna idea de por qué no está funcionando? > cobertura class : RasterLayer dimensions : 780, 1296, 1010880

Dear R-Help community, I am trying to overlay a single contour line over a correlation plot using levelplot in the lattice package. These are the two arrays: 1) a correlation plot over Africa - so each grid square is a different colour dependent on correlation - this is in an array: result_cor with dim[465,465] 2) a single contour line from a ***different data source*** - this is from data