run.KNN: Wraper for running random forest classifier
In Japrin/sscClust: simpler single cell RNAseq data clustering
run.KNN R Documentation
Wraper for running random forest classifier
Description
Wraper for running random forest classifier
Usage
run.KNN(xdata, xlabel, ydata, k = 1)
Arguments
xdata
data frame or matrix; data used for training, with sample id in rows and variables in columns
xlabel
factor; classification label of the samples, with length equal to the number of rows in xdata
ydata
data frame or matrix; data to be predicted the label, same format as xdata
k
parameter k of function knn() (default: 1)
Value
List with the following elements:
ylabel
ppredicted labels of the samples in ydata
Japrin/sscClust documentation built on May 23, 2024, 7:12 a.m.
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| run.KNN | R Documentation |
Wraper for running random forest classifier
Description
Wraper for running random forest classifier
Usage
run.KNN(xdata, xlabel, ydata, k = 1)
Arguments
xdata |
data frame or matrix; data used for training, with sample id in rows and variables in columns |
xlabel |
factor; classification label of the samples, with length equal to the number of rows in xdata |
ydata |
data frame or matrix; data to be predicted the label, same format as xdata |
k |
parameter k of function knn() (default: 1) |
Value
List with the following elements:
ylabel |
ppredicted labels of the samples in ydata |
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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