nnmiss: Auxiliary function for knn imputation
In dprep: Data Pre-Processing and Visualization Functions for Classification
Description
Usage
Arguments
Author(s)
See Also
Description
This function is required to perform k-nn imputation.
Usage
1
nnmiss(x, xmiss, ismiss, xnom, K = 1)
Arguments
x
A submatrix of complete rows from original matrix
xmiss
A row with a missing value
ismiss
A vector that indicates whether a value in xmiss is missing or not
xnom
A vector with indexes of nominal variables
K
The number of neighbors to use
Author(s)
Edgar Acuna
See Also
dprep documentation built on May 29, 2017, 11:01 a.m.
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Description Usage Arguments Author(s) See Also
Description
This function is required to perform k-nn imputation.
Usage
1 | nnmiss(x, xmiss, ismiss, xnom, K = 1)
|
Arguments
x |
A submatrix of complete rows from original matrix |
xmiss |
A row with a missing value |
ismiss |
A vector that indicates whether a value in xmiss is missing or not |
xnom |
A vector with indexes of nominal variables |
K |
The number of neighbors to use |
Author(s)
Edgar Acuna
See Also
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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