loessoptidisc: Strategy 2: Optimal spatial data discretization for...
In IDSA: An Interactive Detector for Spatial Associations
Description
Usage
Arguments
Value
Examples
View source: R/loessoptidisc.R
Description
Strategy 2: Optimal spatial data discretization for individual variables
based on SPADE model.
Usage
1
loessoptidisc(x, y)
Arguments
x
A numeric vector of break numbers
y
A numeric vector of q values
Value
A list of an optimal number of discretization and a plot.
Examples
1
lod <- loessoptidisc(x = 4:15, y = log(4:15 + runif(12)))
IDSA documentation built on April 18, 2021, 5:07 p.m.
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Description Usage Arguments Value Examples
View source: R/loessoptidisc.R
Description
Strategy 2: Optimal spatial data discretization for individual variables based on SPADE model.
Usage
1 | loessoptidisc(x, y)
|
Arguments
x |
A numeric vector of break numbers |
y |
A numeric vector of q values |
Value
A list of an optimal number of discretization and a plot.
Examples
1 | lod <- loessoptidisc(x = 4:15, y = log(4:15 + runif(12)))
|
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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