Well I "hacked" it i maybe not so elegant way:
x <- rnorm(10)
y <- rnorm(10)
png('out.png',width=600,height=500,units="px")
op <-
par(bg='black',fg='gray',col='gray',col.axis='gray',col.lab='gray',col.main='gray',col.sub='gray',mai=c(0,0,0,0),
tck = 0.01, mgp = c(0, -1.4, 0), xaxs = "i",
Hi,
I suggest taking a look at the plotting functions in the ggplot2
package. For example:
x <- rnorm(1)
y <- x+rnorm(1)
dat <- data.frame(x,y)
library(ggplot2)
p <- ggplot(dat, aes(x=x, y=y))
p + geom_point() # too much overplotting: compare to
dev.new()
p + geom_hex(binwidth=c(.1,.1))
I know that by setting alpha to for example col = rgb(0, 0, 0, 0.1) it is
possible to see how many overlapping is in the plot. But disadvantage of it
is that single points are barely visible on the background. So I wonder if
there is possible to make setting that single points would be almost blac
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