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cloud() 3D scatter plot

2 messages · Michelle DePrenger-Levin, Deepayan Sarkar

Michelle DePrenger-Levin
# 
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.

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),
            ) .....
Deepayan Sarkar
#
On 12/2/05, Michelle DePrenger-Levin <DePrengM at botanicgardens.org> wrote:
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