get_influence_plot: Plot the influence of a gridded Gaussian variable on the...
In rtlemos/scallops: Lemos and Sanso' (2012) model, edited for speed
Description
Usage
Arguments
Value
Examples
View source: R/postprocessing.R
Description
Plot the influence of a gridded Gaussian variable on the interpolation
Usage
1
get_influence_plot(dpc_grid, lat, lon, fit = NULL)
Arguments
dpc_grid
Discrete Process Convolution grid
lat
Latitute of desired gridpoint
lon
Longitude of desired gridpoint
fit
(Optional) fitted model
Value
A ggplot showing the weight of the selected variable on the fit
Examples
1
get_influence_plot(get_grid(c(-1,1), c(-1,1), spacing = 2), -1, -1, fit = NULL)
rtlemos/scallops documentation built on May 4, 2019, 7:43 p.m.
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Description Usage Arguments Value Examples
View source: R/postprocessing.R
Description
Plot the influence of a gridded Gaussian variable on the interpolation
Usage
1 | get_influence_plot(dpc_grid, lat, lon, fit = NULL)
|
Arguments
dpc_grid |
Discrete Process Convolution grid |
lat |
Latitute of desired gridpoint |
lon |
Longitude of desired gridpoint |
fit |
(Optional) fitted model |
Value
A ggplot showing the weight of the selected variable on the fit
Examples
1 | get_influence_plot(get_grid(c(-1,1), c(-1,1), spacing = 2), -1, -1, fit = NULL)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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