rf_classPredict: Classify Query Samples
In pcahan1/cancerCellNet: CellNet, for cancer
View source: R/rf_classPredict.R
rf_classPredict R Documentation
Classify Query Samples
Description
Classify the transformed query data using the random forest classifier.
Usage
rf_classPredict(rfObj, expQuery, numRand = 50)
Arguments
rfObj
random forest object created from makeClassifier
expQuery
transformed query data created from query_transform
numRand
number of random profiles to add into the classification
Value
a classification matrix of the query data
pcahan1/cancerCellNet documentation built on July 16, 2022, 12:12 a.m.
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View source: R/rf_classPredict.R
| rf_classPredict | R Documentation |
Classify Query Samples
Description
Classify the transformed query data using the random forest classifier.
Usage
rf_classPredict(rfObj, expQuery, numRand = 50)
Arguments
rfObj |
random forest object created from |
expQuery |
transformed query data created from |
numRand |
number of random profiles to add into the classification |
Value
a classification matrix of the query data
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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