...@comcast.net]
Sent: Tuesday, June 19, 2012 10:00 AM
To: dcarl...@tamu.edu
Cc: "'Kehl Dániel'"; r-help@r-project.org
Subject: Re: [R] Smoothing a persp graph
On Jun 19, 2012, at 10:02 AM, David L Carlson wrote:
kde2d is for two dimensional data. The persp graph is 3d.
Huh
?loess, mgcv, kriging, ... There must be hundreds. Have you consulted the
CRAN "spatial" task view?
-- Bert
On Tue, Jun 19, 2012 at 8:34 AM, Guillaume Chapron <
carnivorescie...@gmail.com> wrote:
> On Jun 19, 2012, at 10:02 AM, David L Carlson wrote:
>
> kde2d is for two dimensional data. The p
standard problem in
geostatistics.
---
David 2
> -Original Message-
> From: David Winsemius [mailto:dwinsem...@comcast.net]
> Sent: Tuesday, June 19, 2012 10:00 AM
> To: dcarl...@tamu.edu
> Cc: "'Kehl Dániel'"; r-help@r-project.org
> Subject: Re: [R] Smo
On Jun 19, 2012, at 10:02 AM, David L Carlson wrote:
kde2d is for two dimensional data. The persp graph is 3d.
Huh? The question asked about plotting data that was 2d. The third
dimension was to be the density. kde2d in package MASS or the
similarly named function in package KernSmooth would
.org [mailto:r-help-bounces@r-
project.org] On Behalf Of Kehl Dániel
Sent: Tuesday, June 19, 2012 8:42 AM
To: r-help@r-project.org
Subject: Re: [R] Smoothing a persp graph
Take a look at the
kde2d
function in the MASS package, maybe it helps.
Best
kd
2012.06.19. 14:26 keltezissel, Guillaume Cha
om: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of Kehl Dániel
> Sent: Tuesday, June 19, 2012 8:42 AM
> To: r-help@r-project.org
> Subject: Re: [R] Smoothing a persp graph
>
> Take a look at the
>
> kde2d
> function in the MASS package, maybe
Take a look at the
kde2d
function in the MASS package, maybe it helps.
Best
kd
2012.06.19. 14:26 keltezéssel, Guillaume Chapron írta:
> Hi,
>
> I'm unable to find a way to smooth data for a persp() graph.
>
> Example, suppose that I have data x,y,z like this:
>
> x<- 1:10
> y<- 1:10
>
> k<- 20
Hi,
I'm unable to find a way to smooth data for a persp() graph.
Example, suppose that I have data x,y,z like this:
x <- 1:10
y <- 1:10
k <- 20
z <- outer(x, y, "*") + matrix( k*runif(100, -1, 1), 10, 10)
persp(x, y, z, theta = 35, phi = 25)
The graph is not very nice. Is there a way to smooth
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