impute.randomForest,proFIAset-method {proFIA} | R Documentation |
Impute the missing values in an FIA experiment using a random forest implemented in the missForest package.
## S4 method for signature 'proFIAset' impute.randomForest(object, parallel = FALSE, ...)
object |
A proFIAset object. |
parallel |
Shall parallelism be used. |
... |
supplementary arguements to be passed to missForest function. |
A proFIAset object with the missing values imputated.
Stekhoven, D.J. and Buehlmann, P. (2012), 'MissForest - nonparametric missing value imputation for mixed-type data', Bioinformatics, 28(1) 2012, 112-118, doi: 10.1093/bioinformatics/btr597
if(require(plasFIA)){ data(plasSet) ###Reinitializing the data matrix plasSet<-makeDataMatrix(plasSet,maxo=FALSE) plasSet<-impute.randomForest(plasSet) }