random_forest: Run random forest prediction
In hemberg-lab/FastSC3: Fast Single-Cell Consensus Clustering
Description
Usage
Arguments
Value
Description
Create a random forest calssifier based on a training dataset (train) and then
classify a study dataset (study) using the classifier.
Usage
1
random_forest(train, study, ntree = 50)
Arguments
train
training data.frame with colnames, corresponding to training labels
study
study data.frame
ntree
number of trees to be used in random forest
Value
classification of the study dataset
hemberg-lab/FastSC3 documentation built on May 17, 2019, 3:42 p.m.
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Description Usage Arguments Value
Description
Create a random forest calssifier based on a training dataset (train) and then
classify a study dataset (study) using the classifier.
Usage
1 | random_forest(train, study, ntree = 50)
|
Arguments
train |
training data.frame with colnames, corresponding to training labels |
study |
study data.frame |
ntree |
number of trees to be used in random forest |
Value
classification of the study dataset
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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