[R] 3d data plot

Uwe Ligges ligges at statistik.tu-dortmund.de
Mon Aug 9 16:50:09 CEST 2010



On 09.08.2010 13:17, szisziszilvi wrote:
>
> Hello!
>
> E.g. I have a file like sample.csv:
> condition1;condition2;myVar
> 0.902443929;0.879344831;0.963357725
> 0.91014254;0.717720763;0.953787867
> 0.899773581;0.871760835;1.031798755
> 0.892074969;0.863043345;1.080447426
> 0.847759139;0.894642857;1.080521187
> 0.847179086;0.89650009;1.111348011
> 0.849229318;0.912751303;1.154026236

See function plot3d() in package "rgl", cloud() in "lattice", 
scatterplot3d() in "scatterplot3d", etc.

Uwe Ligges



> (... some thousands of measurements, like (p,V,T) - just other types of
> physical quantities)
> (wherever a data misses, it's sign is -999)
>
> I can read it into a data frame like:
> mes<- read.csv("sample.csv", sep=";", na.strings="-999")
>
> But what shall I do afterwards? I've tried to understand persp, but that
> doesn't really seem to be the solution.
>
> Maybe it would help if you could tell me just which example to check more
> carefully on the mentioned page. I've tried to search for one, but failed
> unfortunatelly.



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