randomForestImpute: kknn imputation - single column
In hkumar6/gene.expression: Imputing dropouts in gene expression
Description
Usage
Arguments
Value
View source: R/randomForest_function.R
Description
Impute results for a specific gene or cell using randomForest
Usage
1
randomForestImpute(id, simData.learn, simData.test, mixedSpeciesData = FALSE)
Arguments
id
string for the cell or gene to impute, must be a column name in the data
simData.learn
training data as data.frame
simData.test
testing data, for predictions, as data.frame
Value
data.frame containing results of the simulation
mean squared error, Spearman correlation
hkumar6/gene.expression documentation built on May 17, 2019, 4:33 p.m.
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Description Usage Arguments Value
View source: R/randomForest_function.R
Description
Impute results for a specific gene or cell using randomForest
Usage
1 | randomForestImpute(id, simData.learn, simData.test, mixedSpeciesData = FALSE)
|
Arguments
id |
string for the cell or gene to impute, must be a column name in the data |
simData.learn |
training data as data.frame |
simData.test |
testing data, for predictions, as data.frame |
Value
data.frame containing results of the simulation mean squared error, Spearman correlation
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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