RDocumentation
Moon
Learn R
Search all packages and functions
⚠️
There's a newer version (1.0-34) of this package.
Take me there.
yaImpute (version 1.0-5)
yaImpute: An R Package for k-NN Imputation
Description
Performs popular nearest neighbor routines for imputation
Copy Link
Copy
Link to current version
Version
Version
1.0-34
1.0-33
1.0-32
1.0-31
1.0-30
1.0-29
1.0-26
1.0-24
1.0-23
1.0-22
1.0-21
1.0-20
1.0-19
1.0-18
1.0-17
1.0-16
1.0-15
1.0-14
1.0-13
1.0-12
1.0-11
1.0-10
1.0-9
1.0-8
1.0-7
1.0-6
1.0-5
1.0-4
1.0-3
0.0-5
0.0-4
0.0-3
0.0-2
0.0-1
Down Chevron
Install
install.packages('yaImpute')
Monthly Downloads
4,364
Version
1.0-5
License
GPL (>= 2)
Maintainer
Andrew Finley
Last Published
July 2nd, 2008
Functions in yaImpute (1.0-5)
Search functions
ann
Approximate nearest neighbor search routines
addXlevels
Adds xlevels to randomForest objects
AsciiGridImpute
Imputes/Predicts data for Ascii Grid maps
print.yai
Print a summary of a yai object
newtargets
Finds K nearest neighbors for new target observations
compare.yai
Compares different k-NN solutions
plot.compare.yai
Plots a compare.yai object
cor.yai
Correlation between observed and imputed
unionDataJoin
Combines data from several sources
rmsd.yai
Root Mean Square Difference between observed and imputed
vars
List variables in a yai object
foruse
Report a complete imputation
notablyDistant
Find notably distant targets
errorStats
Compute error components of k-NN imputations
mostused
Tabulate references most often used in imputation
yai
Find K nearest neighbors
TallyLake
Tally Lake, Flathead National Forest, Montana, USA
whatsMax
Find maximum column for each row
plot.yai
Plot observed verses imputed data
impute.yai
Impute variables from references to targets
yaiVarImp
Reprots or plots importance scores for method randomForest
yaiRFsummary
Build Summary Data For Method RandomForest
MoscowMtStJoe
Moscow Mountain and St. Joe Woodlands (Idaho, USA) Tree and LiDAR Data