> Does anyone have a recommendation for the best package/function for doing
> surface plots?
> What I am looking for is one with a lot of functionality like easily rotate
> the plot and so on.
There is persp() and the rgl package, as Duncan has already mentioned.
However (I'm probably biased h
That works nicely for what I need
Thanks
Bernard
Sent from my iPhone so please excuse the spelling!"
> On Apr 25, 2019, at 3:21 PM, Duncan Murdoch wrote:
>
>> On 25/04/2019 2:24 p.m., Bernard McGarvey wrote:
>> If I have a set of data (x,y,z) and I want to plot z(x,y) as a surface plot.
>> Wha
On 25/04/2019 2:24 p.m., Bernard McGarvey wrote:
If I have a set of data (x,y,z) and I want to plot z(x,y) as a surface plot.
What I am looking for is one with a lot of functionality like easily rotate the
plot and so on.
If x and y are on a grid, there are lots of choices. If they are a set
If I have a set of data (x,y,z) and I want to plot z(x,y) as a surface plot.
What I am looking for is one with a lot of functionality like easily rotate the
plot and so on.
Thanks
Bernard McGarvey
Director, Fort Myers Beach Lions Foundation, Inc.
Retired (Lilly Engineering Fellow).
> On
On 25/04/2019 1:47 p.m., Bernard Comcast wrote:
Does anyone have a recommendation for the best package/function for doing
surface plots?
You've got a pretty wide choice: graphics::persp, several functions in
the rgl, plotly, plot3D packages, etc. You'll need to give a bit more
information
Depends on what you want to do -- context matters.
More details would probably enable better answers.
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Thu, Apr 2
Does anyone have a recommendation for the best package/function for doing
surface plots?
Bernard
Sent from my iPhone so please excuse the spelling!"
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Hi Patrick
You should do better by using a specific graphic device and then send
the file to the printer
...
n.cuts=300
u1.corrd=(1:n.cuts-.5)/n.cuts
u2.corrd=(1:n.cuts-.5)/n.cuts
shareframe=data.frame(expand.grid(u1.corrd,u2.corrd))
shareframe$z.dir=normal.copula(shareframe$Var1,shareframe$Va
Hello,
I'm working on some simple copula plots for a poster presentation, and by
simple I mean simple, gaussian, etc., etc., etc.
I know I might be taking this a bit too far but I'm trying to see if I can
overlay one surface plot over another. I want to use color but I like the
addition of a
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