From: Jim Lemon <jim_at_bitwrit.com.au>

Date: Sat 13 Jan 2007 - 03:21:59 GMT

}

R-help@stat.math.ethz.ch mailing list

https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Sat Jan 13 14:29:44 2007

Date: Sat 13 Jan 2007 - 03:21:59 GMT

Dunja Drvar wrote:

> Dear all,

*> I have a problem with plotting.
**> I have an irregular set of data, where latitude is listed from bigger to
**> smaller values. So, I cannot plot with image.plot.
**> On the other hand, quilt.plot solves the problem, but it can't take the
**> definition of color. It gives the feedback:
**>
**> Error in image.plot(out.p, col = tim.colors(64), ...) :
**> formal argument "col" matched by multiple actual arguments
**>
**> The question is: is there a way to define the color palette in quilt.plot?
*

Hi Dunja,

I think the problem is due to the position of the ... argument. In
image.plot it is first, meaning that all other arguments have to be
named. Thus when you pass col= as part of ... in quilt.plot, it is
placed in the initial ... in the call to image.plot, generating two col=
arguments. I think the quickest hack is to insert an explicit col=
argument into the code for quilt.plot and add it into the call to
image.plot within the function as below.

function (x, y, z, nrow = 64, ncol = 64, grid = NULL, add.legend = TRUE,

col=tim.colors(64), ...)

{

x <- as.matrix(x) if (ncol(x) == 2) { z <- y } if (ncol(x) == 1) { x <- cbind(x, y) } if (ncol(x) == 3) { z <- x[, 3] x <- x[, 1:2] } out.p <- as.image(z, x = x, nrow = nrow, ncol = ncol, na.rm = TRUE) if (add.legend) { image.plot(out.p, col = col, ...) } else { image(out.p, col = col, ...) }

}

The modified example:

quilt.plot(ozone2$lon.lat, ozone2$y[16, ], add.legend = FALSE,col=rainbow(64))

works for me.

Jim

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