This works for me:
x <- y <- seq(-4*pi, 4*pi, len=27)
r <- sqrt(outer(x^2, y^2, "+"))
library(lattice)
levelplot(r, colorkey=list(col=gray((0:32)/32)),
col.regions=(col=gray((0:32)/32)))
'r' is a matrix for you?
On 01/03/2008, David Winsemius <dwinsemius at comcast.net> wrote:
"Henrique Dallazuanna" <wwwhsd at gmail.com> wrote in
news:da79af330802290329y4c0ad78fkc483303229a868ae at mail.gmail.com:
library(lattice)
levelplot(r, colorkey=list(col=gray((0:32)/32)),
col.regions=(col=gray((0:32)/32)))
When I try that example, I get an error, even after updating lattice.
levelplot(r, colorkey=list(col=gray((0:32)/32)),
+ col.regions=(col=gray((0:32)/32)))
Error in UseMethod("levelplot") : no applicable method for "levelplot"
If I simply change colorkey=FALSE to colorkey=TRUE in the first levelplot
help page example, I have what looks to me as "success".
levelplot(z~x*y, grid, cuts = 50, scales=list(log="e"), xlab="",
ylab="", main="Weird Function", sub="with log scales",
colorkey = TRUE,
region = TRUE)
--
David Winsemius
On 29/02/2008, Megh Dal <megh700004 at yahoo.com> wrote:
Hi Jim, i think you could not get my point. I did not want to put
red-blue color there. I want to put a pallet which will describe
the values of r. please have a look on following :
Is there any solution?
Regards,
jim holtman <jholtman at gmail.com> wrote:
Try something like this:
require(grDevices) # for colours
x <- y <- seq(-4*pi, 4*pi, len=27)
r <- sqrt(outer(x^2, y^2, "+"))
image(x, y, r, col=gray((0:32)/32))
colors <- colorRampPalette(c('red', 'yellow', 'blue')) # create
you color spectrum
image(x,y,r, col=colors(100))
On Thu, Feb 28, 2008 at 9:28 PM, Megh Dal wrote:
> I used ?image function to do that, like below :
>
> require(grDevices) # for colours
> x <- y <- seq(-4*pi, 4*pi, len=27)
> r <- sqrt(outer(x^2, y^2, "+"))
> image(x, y, r, col=gray((0:32)/32))
>
> However my next problem to add a color pallet for color
> description [as shown in following link]. If anyone here tell
me how to do that, it will be good for me.
visualizing multivariate time series? If possible how?