bin_index_finder_nest: Find bin index from R-tree structure
In kmaurer/iqbin: Iterative Quantile Binning
Description
Usage
Arguments
Value
View source: R/IterativeQuantileSupportFunctions.R
Description
Use R-tree structure using from make_bin_list() function to find bin index for new observation
Usage
1
bin_index_finder_nest(x, bin_def, strict = TRUE)
Arguments
x
vector of input values for each of the binned dimensions
bin_def
Iterative quantile binning definition list
strict
TRUE/FALSE: If TRUE Observations must fall within existing bins to be assigned; if FALSE the outer bins in each dimension are unbounded to allow outlying values to be assigned.
Value
bin index for new observation
kmaurer/iqbin documentation built on Jan. 1, 2020, 6:48 p.m.
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Description Usage Arguments Value
View source: R/IterativeQuantileSupportFunctions.R
Description
Use R-tree structure using from make_bin_list() function to find bin index for new observation
Usage
1 | bin_index_finder_nest(x, bin_def, strict = TRUE)
|
Arguments
x |
vector of input values for each of the binned dimensions |
bin_def |
Iterative quantile binning definition list |
strict |
TRUE/FALSE: If TRUE Observations must fall within existing bins to be assigned; if FALSE the outer bins in each dimension are unbounded to allow outlying values to be assigned. |
Value
bin index for new observation
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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