impute.FIA,proFIAset-method {proFIA} | R Documentation |
Impute the missing values in an FIA experiment using a Weighted
K-Nearest Neighbours on Truncated Distribution implemented in impute.KNN_TN
or by random forest using the impute.randomForest
function.
## S4 method for signature 'proFIAset' impute.FIA(object, method = c("KNN_TN", "randomForest"), ...)
object |
A proFIAset object. |
method |
The method to be used for missing value imputation. |
... |
Arguments furnished to the imputation method. No argument is required for |
if(require(plasFIA)){ data(plasSet) ###Reinitializing the data matrix an using KNN plasSet<-makeDataMatrix(plasSet,maxo=FALSE) plasSet<-impute.FIA(plasSet,method="KNN_TN",k=2) ###Reinitializing the data matrix and using randomForest plasSet<-makeDataMatrix(plasSet,maxo=FALSE) plasSet<-impute.FIA(plasSet,method="randomForest") }