yaImpute: An R Package for k-NN Imputation

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Documentation for package ‘yaImpute’ version 1.0-6

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addXlevels Adds xlevels to randomForest objects
ann Approximate nearest neighbor search routines
AsciiGridImpute Imputes/Predicts data for Ascii Grid maps
AsciiGridPredict Imputes/Predicts data for Ascii Grid maps
compare.yai Compares different k-NN solutions
cor.yai Correlation between observed and imputed
errorStats Compute error components of k-NN imputations
foruse Report a complete imputation
impute Impute variables from references to targets
MoscowMtStJoe Moscow Mountain and St. Joe Woodlands (Idaho, USA) Tree and LiDAR Data
mostused Tabulate references most often used in imputation
newtargets Finds K nearest neighbors for new target observations
notablyDistant Find notably distant targets
plot.compare.yai Plots a compare.yai object
plot.impute.yai Plot observed verses imputed data
plot.yai Plot observed verses imputed data
print.yai Print a summary of a yai object
rmsd.yai Root Mean Square Difference between observed and imputed
summary.yai Print a summary of a yai object
TallyLake Tally Lake, Flathead National Forest, Montana, USA
unionDataJoin Combines data from several sources
vars List variables in a yai object
whatsMax Find maximum column for each row
xvars List variables in a yai object
yai Find K nearest neighbors
yaImpute Find K nearest neighbors
yaiRFsummary Build Summary Data For Method RandomForest
yaiVarImp Reprots or plots importance scores for method randomForest
yvars List variables in a yai object