dot-predict: Predict classification of new patients using the forests of...
In IulianD/dsSwissKnifeClient: DataSHIELD Tools and Utilities - client side
Description
Usage
Arguments
Value
Description
For classification, we sum the votes from all the forests,
Usage
1
.predict(forests, testData)
Arguments
forests:
a list of randomForest objects.
testData:
[data frame] new data to classify using the forests.
It must have at least the columns in 'expl_vars'.
(We want to predict the value of 'dep_var' for it.)
Value
a vector of length 'nrow(testData)'.
IulianD/dsSwissKnifeClient documentation built on June 23, 2020, 4:38 p.m.
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Description Usage Arguments Value
Description
For classification, we sum the votes from all the forests,
Usage
1 | .predict(forests, testData)
|
Arguments
forests: |
a list of randomForest objects. |
testData: |
[data frame] new data to classify using the forests. It must have at least the columns in 'expl_vars'. (We want to predict the value of 'dep_var' for it.) |
Value
a vector of length 'nrow(testData)'.
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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