method that produces scatter plots of predicted vs observed measurements for the training set.
Value
Function WA returns
method that produces scatter plots of predicted vs observed measurements for the training set.
Value
Function WA returns
R: surface
surfaceR Documentation
surface
R: Ochre surface
surfaceR Documentation
Ochre surface
R: Tessellation surface
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML
R: Surface height
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML
R: add height-field surface shape
rgl.surfaceR Documentation
add height-field surface shape
R: Read a Surface from a Manifold project file.
SurfaceR Documentation
Read a Surface from a Manifold project file
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
R: Create a 3D surface plot for any function
surfaceR Documentation
Create a 3D surface plot for any function
R: Read a Surface from a Manifold project file.
SurfaceR Documentation
Read a Surface from a Manifold project file
R: add height-field surface shape
rgl.surfaceR Documentation
add height-field surface shape
R: Volumes of solids of revolution
revolution-solidR Documentation
Volumes of solids of revolution
Package: kitchen
Type: Package
Title: Convolutional Kitchen Sinks in R
of Washington.
Usage
data("WA")
mod <- wa(SumSST ~., data = ImbrieKipp)
## extract the fitted values
fitted(mod)
of Washington.
Usage
data("WA")
of Washington.
Usage
data("WA")
solution
Description
Extracts the weighted averages of a CCA solution
, i.e. a bootstrap procedure is implemented to perform the test, see crit.values.
Usage
WA(data, k_estimator)
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