Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (1.0-34.1) of this package.
Take me there.
yaImpute (version 1.0-15)
yaImpute: An R Package for k-NN Imputation
Description
Performs popular nearest neighbor routines for imputation
Copy Link
Link to current version
Version
Version
1.0-34.1
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
Install
install.packages('yaImpute')
Monthly Downloads
3,388
Version
1.0-15
License
GPL (>= 2)
Maintainer
Nicholas Crookston
Last Published
March 3rd, 2011
Functions in yaImpute (1.0-15)
Search all functions
cor.yai
Correlation between observed and imputed
ann
Approximate nearest neighbor search routines
mostused
Tabulate references most often used in imputation
yaiVarImp
Reprots or plots importance scores for method randomForest
impute.yai
Impute variables from references to targets
foruse
Report a complete imputation
errorStats
Compute error components of k-NN imputations
yai
Find K nearest neighbors
notablyDistant
Find notably distant targets
rmsd.yai
Root Mean Square Difference between observed and imputed
yaiRFsummary
Build Summary Data For Method RandomForest
TallyLake
Tally Lake, Flathead National Forest, Montana, USA
AsciiGridImpute
Imputes/Predicts data for Ascii Grid maps
vars
List variables in a yai object
unionDataJoin
Combines data from several sources
addXlevels
Adds xlevels to randomForest objects
plot.compare.yai
Plots a compare.yai object
whatsMax
Find maximum column for each row
newtargets
Finds K nearest neighbors for new target observations
compare.yai
Compares different k-NN solutions
MoscowMtStJoe
Moscow Mountain and St. Joe Woodlands (Idaho, USA) Tree and LiDAR Data
print.yai
Print a summary of a yai object
plot.yai
Plot observed verses imputed data