Hi H,
I probably owe you an apology.
I was just reading the geom_contour documentation.
It's difficult to follow.
Base R functions, my functions, and pretty much everyone's functions,
take a matrix as input.
But as far as I can tell, geom_contour wants a data.frame with three
{x, y and z}
> I was looking at this example which uses geom_contour():
>
> ggvolcano = volcano %>%
> reshape2::melt() %>%
> ggplot() +
> geom_tile(aes(x=Var1,y=Var2,fill=value)) +
> geom_contour(aes(x=Var1,y=Var2,z=value),color="black") +
> scale_x_continuous("X",expand = c(0,0)) +
>
On 09/19/2020 04:33 PM, Abby Spurdle wrote:
>> Understood
> I'd recommend you try to be more precise.
>
>> I just began looking at the volcano dataset which uses geom_contour.
> The volcano dataset does *not* use geom_contour.
> However, the help file for the volcano dataset, does use the
>
> Understood
I'd recommend you try to be more precise.
> I just began looking at the volcano dataset which uses geom_contour.
The volcano dataset does *not* use geom_contour.
However, the help file for the volcano dataset, does use the
filled.contour function, in its example.
> I now realize
On 09/19/2020 12:42 AM, Jeff Newmiller wrote:
> When dealing with a 2-d density plot, the z variable is a predefined function
> of your x and y data, it is not something you can specify. If you want to
> specify z, then you need to use geom_contour. You appear to need to study the
> theory of
When dealing with a 2-d density plot, the z variable is a predefined function
of your x and y data, it is not something you can specify. If you want to
specify z, then you need to use geom_contour. You appear to need to study the
theory of kernel density estimates, which is off topic here.
On 09/18/2020 03:08 AM, Carlos Ortega wrote:
> Hi,
>
> There are some further references in the own "RStudio Community" and in
> StackOverflow:
>
> * https://community.rstudio.com/t/options-to-stat-density-2d/792/4
> *
>
On 09/18/2020 02:26 AM, Jeff Newmiller wrote:
> No, but fortunately you are off in the weeds. Density has an
> internally-computed "z" coordinate... you should be looking at ?geom_contour.
>
> On September 17, 2020 7:17:33 PM PDT, H wrote:
>> I am trying to understand how to map 2D to 3D using
Hi,
There are some further references in the own "RStudio Community" and in
StackOverflow:
- https://community.rstudio.com/t/options-to-stat-density-2d/792/4
-
https://stackoverflow.com/questions/32206623/what-does-level-mean-in-ggplotstat-density2d
Kind Regards,
Carlos.
On Fri, Sep
No, but fortunately you are off in the weeds. Density has an
internally-computed "z" coordinate... you should be looking at ?geom_contour.
On September 17, 2020 7:17:33 PM PDT, H wrote:
>I am trying to understand how to map 2D to 3D using ggplot() and
>eventually plot_gg(). I am, however, stuck
> But there's no reason for the user to do that when using the plotting
> function.
I should amend the above.
There's no reason for the user to do that (compute a third "variable"
representing density), if using a high level plotting function, that's
designed to compute the density for you.
It
I'm not familiar with the gg graphics system.
However, I am familiar with density estimation, and density visualization.
There is *no* third variable, as such.
But rather, density estimates, which in this context, would usually be a matrix.
(And are computed inside the plotting or density
I am trying to understand how to map 2D to 3D using ggplot() and eventually
plot_gg(). I am, however, stuck on understanding how to express the third
variable to be mapped. This example:
ggdiamonds = ggplot(diamonds, aes(x, depth)) +
stat_density_2d(aes(fill = stat(nlevel)),
geom = "polygon", n
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