similar to: R-beta: Inquiry

Dear list members I'm currently working on some topographic (elevation) data, and was somewhat surprised that the 'topo.colors' and 'terrain.colors' are of little to no use here. The problem is that these functions only return a palette of colours; they don't map depth values to colours. So if I plot (using 'image', 'persp' or similar functions) and

Hi, I would have expected that I get always 3 colors as result which is not true: hcl.colors(3, alpha=c(0, 0.5, 1)) # 3 colors rainbow(3, alpha=c(0, 0.5, 1)) # 3 colors heat.colors(3, alpha=c(0, 0.5, 1)) # 3 colors terrain.colors(3, alpha=c(0, 0.5, 1)) # 6 colors cm.colors(3, alpha=c(0, 0.5, 1)) # 6 colors topo.colors(3, alpha=c(0, 0.5, 1)) # 9 colors R-Version and

Dear All, I was looking for the color index in?image function,?such as from topo.colors(n) and etc. but still never found it. For instance, from the help menu. ########################################### # Volcano data visualized as matrix. Need to transpose and flip # matrix horizontally. image(t(volcano)[ncol(volcano):1,]) # A prettier display of the volcano x <- 10*(1:nrow(volcano)) y

Dear All I want to plot a kind of figures, which can interactive with user. For example, i have a matirx which can be showed by image function. i.e. we can compare the value depend on different colors. However, the change of colors depend on the range of value. Nowaday, i want to set a bar, which can be moved by user such that the user can obtain the appropriate range. Does anyone suggest me which

On 23/02/2023 4:36 a.m., Sigbert Klinke wrote: > Hi, > > I would have expected that I get always 3 colors as result which is not > true: > > hcl.colors(3, alpha=c(0, 0.5, 1)) # 3 colors > > rainbow(3, alpha=c(0, 0.5, 1)) # 3 colors > > heat.colors(3, alpha=c(0, 0.5, 1)) # 3 colors > > terrain.colors(3, alpha=c(0, 0.5, 1)) # 6 colors > >

Hello R users! I began with R and I must say that it is really nice. I have data with a lot of variables and have a problem to extract the pattern from correlation matrix. So I tried with plotcorr and it went fine. While I was reading the help page of this function, I found that ellipse display can be even better with use of different colors (the code is bellow). However I have a problem to

¿ como se pueden cambiar estos colores, gray.colors a otros library("KernSmooth") cps_bkde <- bkde2D(cbind(cps$experience, log(cps$wage)), bandwidth = c(3.5, 0.5), gridsize = c(200, 200)) image(cps_bkde$x1, cps_bkde$x2, cps_bkde$fhat, col = rev(gray.colors(10, gamma = 1)), #### pregunta?como se pueden cambiar estos colores xlab =

Como usas la función image puedes consultar la ayuda ?image o help(image) y encontrarás el siguiente ejemplo donde se usa un diferente color Palette (mencionada por pepeceb en su respuesta). x <- 10*(1:nrow(volcano)) y <- 10*(1:ncol(volcano)) image(x, y, volcano, col = terrain.colors(100), axes = FALSE) # O puedes usar directamente el número para indicar el color image(x, y, volcano, col =

I am trying to create a topographic map of an island - the filled.contour function works fine except i am experiencing difficulty trying to represent the sea properly. Basically I want the default colour blue for any instance where z=0, if I simply use the default topo.color I get shades of blue for z values up to 220 metres. Is there a way in which I can specify terrain.color for all values of

Hi, I'm a novice with levelplot and need some assistance! Basically, I want a window which contains 6 levelplots of equal size presented in 3 columns and 2 rows. I've tried to approach it two ways. The first way leads to this question: Is there any way to concatenate levelplots from a factor vertically as opposed to horizontally? I'd like to pair the levelplots by factor.2 on

Is there a way to increase the "sensitivity" of the color palette in order to more clearly represent certain sections of data? For example I am wanting to clearly differentiate between height data for a rolling landscape but because of the extremes of the dataset (sea and mountain tops), the bulk of the landscape is shaded in closely approximating green - i have attempted to do this by

I need grayscale formatting for a wireframe. The only col.regions that I can find are color palettes are all colored: rainbow(n, s = 1, v = 1, start = 0, end = max(1,n - 1)/n, gamma = 1, alpha = 1) heat.colors(n, alpha = 1) terrain.colors(n, alpha = 1) topo.colors(n, alpha = 1) cm.colors(n, alpha = 1) The code follows: X11() library(lattice) par(family="serif", cex=1.2)

Hello, I've got a big problem. I'm using R for geostatistical analyses, especially the field-package. I try to generate plots after the kriging process with help of image.plot(..., col=terrain.colors, ...). Everything works fine, but I want to reverse the color-palettes (heat.colors, topo.colors or gray()) to get darkest colors at highest data-values instead the other way round. Could

Hi, I have a question regarding the image function. Is there a way to specify a separate color set for each column in the matrix? TIA, ajar. [[alternative HTML version deleted]]

Hi! I've got a map in R imported from a GIS (GRASS) as a vector of factors. So I've got 20 different levels in the map and I've created a vector of custom colors of exactly 20 colors in lenght. I'm trying to use image() (really plot.grassmeta() that call image()) to plot the map with those colors but it doesnt work and the colors are changed. I would like that all points

Last time I tried, a few years back, Wine was not yet up to handling Garmin's proprietary topo map software. It would install, and sometimes even work, so long as I didn't try to connect a GPS to it. (The ones I have are all also Garmins -- old ones wanting a serial port.) I made a huge effort, for most of a year, with a lot of help from high-powered Alpha Plus Technoids on several

Hi all, I need a little help for construct an state's map on R. The first problem is to get the data. I have a datafile of longitude and latitude in the follow format: trajectory latitude longtude T -22.045618 -51.287056 T -22.067078 -51.265888 T -22.067039 -51.207249 T -22.059690 -48.089695 T -22.075529 -48.074608 T -22.072460 -48.044472 T -22.062767 -48.298473 T -22.077349

Hello, I can't seem to add transparency to any color ramp I create using colorRampPalette(). Can someone tell me if it is possible to create transparent colour ramps? I am attempting to map shaded relief under elevation data. I know I can use the terrain.colors() with the alpha option, but I would prefer to create my own colour ramp using more vibrant colours. My most recent attempt at

Buenos días ¿Podríais explicarme cómo defino en R el tipo de variable y las etiquetas de la misma y las etiquetas de valor?. En SPSS utilizo la siguiente sintaxis: VARIABLE LEVEL DB030(NOMINAL). VARIABLE LEVEL DB040(NOMINAL). VARIABLE LEVEL DB090(SCALE). VARIABLE LABELS DB010 'AÑO'. VARIABLE LABELS DB020 'PAÍS'. VARIABLE LABELS DB030 'ID_HOGAR'. VARIABLE

R- Users: Can someone indicate what I am during wrong? This is a script essentially from Venerable & Ripley's text on interpolating a surface with loess function but I can not get it to run. Thanks. John Lewis Professor McGill University Montreal library(MASS) library(modreg) data(topo) par(mfcol=c(2,2), pty="s") topo.loess <- loess(z ~ x * y, topo, degree=2,