Displaying 2 results from an estimated 2 matches for "xinds".
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kinds
2007 Oct 21
2
image 256 x 920 data points too slow
Dear R gurus,
I'm trying to visualize a matrix 256 x 920 using image(), but i find
the display too slow (~ 1 minute ?? admittedly, my iBook G4 isn't
very fast). The aim is not to get a good resolution image, but rather
have a quick look at the matrix. I couldn't find a way to plot a
smaller set of points from my data in a sensible manner (basically, i
want to decrease the
2012 Jan 15
0
patching ?merge to allow the user to keep the order of one of the two data.frame objects merged
...(bx)),
sep = "")
bz <- do.call("paste", c(rbind(bx, by), sep = "\r"))
bx <- bz[seq_len(nx)]
by <- bz[nx + seq_len(ny)]
}
comm <- match(bx, by, 0L)
bxy <- bx[comm > 0L]
xinds <- match(bx, bxy, 0L, incomparables)
yinds <- match(by, bxy, 0L, incomparables)
if (nx > 0L && ny > 0L)
m <- .Internal(merge(xinds, yinds, all.x, all.y))
else m <- list(xi = integer(), yi = integer(), x.alone =
seq_len(nx),
y...