cloud() 3D scatter plot
On 12/2/05, Michelle DePrenger-Levin <DePrengM at botanicgardens.org> wrote:
Hello,
I am creating a 3D scatter plot with the cloud function. I ask it to
group my rows by a "Treatment" column (there are 4 different groups). I
need to know which points in the plot correspond to which rows (which
treatment). By default it assigns pchs and cols to each group. When I
try to define the colors or point shapes it seems to use the first color
and pch for both the first and last group. I've tried to add:
col = c("blue","red","orange","green"),
pch = c(20,20,22,22),
after the "cex" line.
It's difficult to say without a reproducible example. The following
works as expected for me:
g <- gl(4, 50)
mu <- 2 * as.numeric(g)
x <- rnorm(200, mean = mu)
y <- rnorm(200, mean = mu)
z <- rnorm(200, mean = mu)
cloud(z ~ x * y, groups = g,
col = c("blue", "red", "orange", "green"),
pch = c(20, 20, 22, 22))
The only explanation I can think of is that your grouping variable has
more than 4 levels. What does
table(RMM$Treatment)
give you? Although, that doesn't explain why cex would work.
-Deepayan
The only think that seems to work and keep all four groups separate is
making
cex = c(1,2,3,4),
I cannot figure out what it combines the first and last of my groups
with the same point character and color. Any suggestions?
(Part of my code)
....
print(cloud(RMMdistMETAc3$points[,1] ~ RMMdistMETAc3$points[,2] *
RMMdistMETAc3$points[,3],
data = RMM,
cex = 0.8,
groups = Treatment,
screen = list(z = 10, x = -40, y = 3),
) .....