x <- rbind(matrix(rnorm(100, sd = 0.3), ncol = 2),
matrix(rnorm(100, mean = 1, sd = 0.3), ncol = 2))
(cl <- kmeans(x, i, 20))
s <- c("tomato4", "turquoise", "slateblue", "wheat", "snow", "skyblue",
"peru", "pink")
# see at:
colors()
plot(x, col = s)
points(cl$centers, col = s, pch = 8, cex=2)
Best,
Matthias
Hi!
I am new to R just 3 days in it and i apologize if my
questions seem very
trivial and consumed your valuable time.
I am coding in perl and i stumbled upon R regarding plotting good
statistical graphs.
I tried the kmean clustering for a large matrix ,say > 150 *
150 . I tried
the example code given in the tutorial to perform 2d plot
# i ranges from 2 to 10
cl <- kmeans(x, i, 20)
plot(x, col = cl$cluster)
points(cl$centers, col = 1:i )
I see that there are only 8 colours defined , namely
black,red,green,blue,cyan,magenta,yello,gray.
How should i set my colour preferences to obtain my palette
of colours? I
checked in the totorial which talks about R.colors and
palatte , but i
failed to understand how to set it.
Thank You
Asha