This is the development repository for the imputeTestbench package. This package provides a testbench for comparing imputation methods for missing data in univariate time series.
The development version of this package can be installed from GitHub:
install.packages('devtools')
library(devtools)
install_github('neerajdhanraj/imputeTestbench', ref = 'development')
The current release can be installed from CRAN:
install.packages('imputeTestbench')
The core function is impute_errors()
. See the help documentation for more details.
library(imputeTestbench)
a <- impute_errors(data = nottem)
a
## $Parameter
## [1] "rmse"
##
## $MissingPercent
## [1] 10 20 30 40 50 60 70 80 90
##
## $na.approx
## [1] 0.9307714 1.4503932 1.8461202 2.5656419 3.6165535 4.8808955
## [7] 6.3838188 8.5943155 10.1325342
##
## $na.interp
## [1] 0.8084972 1.1176487 1.3867667 1.6482180 1.8478308 2.0775023 2.2887840
## [8] 2.5651139 3.1129750
##
## $na.interpolation
## [1] 0.935737 1.460501 1.860259 2.708473 3.642403 4.887642 6.529692
## [8] 8.668559 10.216941
##
## $na.locf
## [1] 1.706314 2.826062 4.036215 4.888672 6.044398 7.665749 9.258763
## [8] 10.518536 11.595488
##
## $na.mean
## [1] 2.730135 3.819668 4.648261 5.462469 6.123465 6.609261 7.256209 7.802480
## [9] 8.256238
plot_errors(a, plotType = 'line')
Neeraj Bokde and Marcus W. Beck (2016). imputeTestbench: Test Bench for the comparison of imputation methods. R package version 3.0. http://www.neerajbokde.com/cran/imputetestbench
Please submit any bug reports (or suggestions) using the issues tab of the GitHub page.
This package is released in the public domain under the creative commons license CC0.
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