On 03/10/2008 7:19 PM, Tomas Lanczos wrote:
Thank You for Your answer, Duncan,
Duncan Murdoch wrote:
On 03/10/2008 4:33 AM, Tomas Lanczos wrote:
hello,
I wish to create some 3d scatter diagrams visualising different
grouped data set by a given field in the database. I tried the
scatterplot3d package, as well as the plot3d and scatter3d functions
(both within the rgl resp. Rcmdr package). My first question is,
whether is it possibe to group data in the scatterplot3d and plot3d,
because I did not succeed to use the groups = ... function.
There is no groups argument to plot3d, but you can set characteristics
of each point separately. So if you can calculate a colour for each
point yourself, you can do something like
plot3d(br_scatter[,c("cl", "br", "hco3")], col=colour)
I see, but it is something new for me. So, if I understood You well, You
advice to prepare another column containing colour codes (colour names?)
for each point?
Yes, though it needn't be a column of br_scatter. A vector of the right
length will work.
Duncan Murdoch
If you want different sizes for each point, you have to plot each
group separately; the size= attribute can't be a vector. You could
also use text3d to plot character labels, e.g.
plot3d(br_scatter[,c("cl", "br", "hco3")], type="n")
text3d(br_scatter[,c("cl", "br", "hco3")], text=br_scatter$stratigraphy)
In some cases it should be nice, but I have hundreds of points, no space
left for labels, but I can use it later.
Tomas
Duncan Murdoch
The scatter3d behaves a bit wierdly with the groups function: it
works well with data imported from a CSV file, but when I tried to
apply it to a data imported from a PostgreSQL database (using the
Rdbi and RdbiPgSQL packages) it gives me this error message:
ERROR:
groups variable must be a factor.
To be more clear here is a command I used with the scatter3d (exactly
the same for the both datasets):
scatter3d(br_scatter$cl, br_scatter$br, br_scatter$hco3,
fit="linear", residuals=TRUE, bg="white", axis.scales=TRUE,
grid=TRUE, ellipsoid=FALSE, xlab="cl", ylab="br", zlab="hco3", groups
= br_scatter$stratigraphy)
the dataset I used is here (the same is the data imported from the
CSV file and from a PostgreSQL table) looks like this (a part of it):
stratigraphy br hco3 cl
1 sarmat 0.2327793352 507.006513 262.781114
2 sarmat 0.3741990388 1021.788317 214.254486
3 baden 0.3354024830 1268.847582 253.639356
4 sarmat 0.0938626352 46.514244 38.995620
5 sarmat 0.1163896676 18.300686 72.984568
6 sarmat 0.2090008010 77.777917 131.989947
7 sarmat 0.2815879055 53.802018 146.804052
8 panon 0.0450540649 81.590560 274.980467
9 baden 0.5619243092 61.752316 275.978980
10 karpat 0.4655586704 16.019351 179.537807
11 mezozoikum 0.6244993993 133.442504 152.986938
12 panon 0.1539347217 132.679975 65.994974
13 sarmat 0.0375450541 19.825743 24.996686
14 sarmat 0.0375450541 20.588272 26.280086
15 baden 0.0463055667 19.063215 26.494456
16 baden 0.1864737685 40.414016 93.992841
17 sarmat 0.9236083300 90.740903 597.954458
18 panon 0.8022126552 57.189645 499.961921
19 panon 0.4830796956 68.627574 280.001241
20 panon 0.1163896676 73.202745 53.995887
So why the exactly same "stratigraphy" field is a factor in the
dataset imported from a CSV file and why is not a factor in the
dataset imported from a PostgreSQL table
Many thanks in advance
Tomas
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and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list
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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.