knn4: k-Nearest Neighbor classifier with multiple k
In MalteThodberg/BEEF: Batch Effect Estimation with fSVA (Frozen Surrogate Variable Analysis)
Description
Usage
Arguments
Details
Value
Description
k-Nearest Neighbor classifier with multiple k
Usage
1
knn4(x, y, k)
Arguments
x
a matrix of training set predictors
y
a factor vector of training set classes
k
number of neighbours considered.
Details
knn3 is essentially the same code as ipredknn
and knn3Train is a copy of knn. The underlying C
code from the class package has been modified to return the vote
percentages for each class (previously the percentage for the winning class
was returned).
Value
An object of class knn3. See predict.knn3.
MalteThodberg/BEEF documentation built on May 7, 2019, 2:09 p.m.
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Description Usage Arguments Details Value
Description
k-Nearest Neighbor classifier with multiple k
Usage
1 | knn4(x, y, k)
|
Arguments
x |
a matrix of training set predictors |
y |
a factor vector of training set classes |
k |
number of neighbours considered. |
Details
knn3 is essentially the same code as ipredknn
and knn3Train is a copy of knn. The underlying C
code from the class package has been modified to return the vote
percentages for each class (previously the percentage for the winning class
was returned).
Value
An object of class knn3. See predict.knn3.
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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