If you are talking about the scatterplot3d package, and we assume your data is in data.frame called "dat":

library("scatterplot3d")
s3d <- scatterplot3d(dat$obs30, dat$Cases, dat$RANK1)
s3d$points3d(dat$obs30, dat$Cases, dat$RANK2, col=2)

Uwe Ligges



On 26.09.2011 22:08, XINLI LI wrote:

Dear David and R groups:

  I have the data as follows, I want to plot the "Rank1 ~ obs30*Cases" and
"Rank2 ~ obs30*Cases" on the same plot as one 3-D scatter plot, how to do
that? Any help is highly appreciated.
/************************************************/


ID obs30 Cases RANK1 RANK2
1 0.03175 63 82 81
2 0.00000 34 1 34
3 0.00000 36 2 41
4 0.00000 54 3 26
5 0.00000 22 4 42
6 0.00746 134 39 32
7 0.00000 2 5 53
8 0.01190 168 46 31
9 0.03012 166 78 86
10 0.00775 129 43 37
11 0.01290 155 51 43
12 0.00459 218 24 6
13 0.04348 23 92 73
14 0.02198 182 66 71
15 0.01546 194 60 62
16 0.01370 73 47 40
17 0.00424 236 23 2
18 0.00735 136 31 19
19 0.03030 66 86 85
20 0.03030 33 65 58
21 0.02273 132 59 59
22 0.02439 123 68 68
23 0.08333 24 83 78
24 0.01266 79 50 45
25 0.01024 293 28 4
26 0.00926 108 29 14
27 0.03750 160 85 95
28 0.01290 155 55 55
29 0.00935 107 30 20
30 0.04598 87 89 94
31 0.01087 92 41 36
32 0.00000 2 6 50
33 0.01695 118 42 23
34 0.04918 61 88 92

# my test codes


print(scatterplot3d(RANK1 ~ obs30 + Cases, type = "h", angle = plot.angle,
color = rgb(0,0,0,0.5),
               pch = 20, cex.symbols=2, col.axis="gray", col.grid="gray"))

#********************************************************

print(scatterplot3d(RANK2 ~ obs30 + Cases, type = "h", angle = plot.angle,
color = rgb(0,0,0,0.5),
               pch = 20, cex.symbols=2, col.axis="gray", col.grid="gray"))

On Mon, Sep 26, 2011 at 1:33 PM, David Winsemius<dwinsem...@comcast.net>wrote:


On Sep 26, 2011, at 3:06 PM, XINLI LI wrote:

Dear R groups:

  I have the data as follows, I want to plot the "Rank1 ~ obs30*Cases" and
"Rank2 ~ obs30*Cases" on the same plot as one 3-D scatter plot, how to do
that? Any help is highly appreciated.


There is no "Method" in that data and your code throws an error.


ID obs30 Cases RANK1 RANK2
1 0.03175 63 82 81
2 0.00000 34 1 34
3 0.00000 36 2 41
4 0.00000 54 3 26
5 0.00000 22 4 42
6 0.00746 134 39 32
7 0.00000 2 5 53
8 0.01190 168 46 31
9 0.03012 166 78 86
10 0.00775 129 43 37
11 0.01290 155 51 43
12 0.00459 218 24 6
13 0.04348 23 92 73
14 0.02198 182 66 71
15 0.01546 194 60 62
16 0.01370 73 47 40
17 0.00424 236 23 2
18 0.00735 136 31 19
19 0.03030 66 86 85
20 0.03030 33 65 58
21 0.02273 132 59 59
22 0.02439 123 68 68
23 0.08333 24 83 78
24 0.01266 79 50 45
25 0.01024 293 28 4
26 0.00926 108 29 14
27 0.03750 160 85 95
28 0.01290 155 55 55
29 0.00935 107 30 20
30 0.04598 87 89 94
31 0.01087 92 41 36
32 0.00000 2 6 50
33 0.01695 118 42 23
34 0.04918 61 88 92

I used the following code for one plot:
print(cloud(RANK1 ~ Cases * obs30, data = xll, groups = Method, screen =
list(z=20, x= -70),
    perspective = FALSE, key = list(title = "Ranking HOSP", x = 100, y =
100,  corner= c(0, 0), border = TRUE,
    points = Rows(trellis.par.get("**superpose.symbol"), 1:2
    ))))
#
##############################**##############################**
##############################**####################
print(cloud(RANK2 ~ Cases * obs30, data = xll, groups = Method, screen =
list(z=20, x= -70),
    perspective = FALSE, key = list(title = "Ranking HOSP", x = 100, y =
100,  corner= c(0, 0), border = TRUE,
    points = Rows(trellis.par.get("**superpose.symbol"), 1:2
    ))))

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______________________________**________________
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PLEASE do read the posting guide http://www.R-project.org/**
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and provide commented, minimal, self-contained, reproducible code.


David Winsemius, MD
West Hartford, CT



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______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

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