The imputetestbench from fawda123

imputetestbench's Introduction

imputeTestbench

Neeraj Bokde, [email protected], Marcus W. Beck, [email protected]

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')

Load the package after installation:

library(imputeTestbench)

Basic use

The core function is impute_errors(). See the help documentation for more details.

a <- impute_errors(data = nottem)
a

## $Parameter
## [1] "rmse"
## 
## $MissingPercent
## [1] 10 20 30 40 50 60 70 80 90
## 
## $na.approx
## [1]  0.9745496  1.3856628  1.9129615  2.6498481  3.7849822  5.0208590  6.6343677
## [8]  8.4455223 10.3949327
## 
## $na.interp
## [1]  0.8221107  1.1478071  1.4159549  1.6452581  1.9016976  2.0818991  2.3455729
## [8]  2.6274192 10.3949327
## 
## $na_interpolation
## [1]  0.9745496  1.3856628  1.9129615  2.6498481  3.7849822  5.0208590  6.6343677
## [8]  8.4455223 10.3949327
## 
## $na.locf
## [1]  1.932793  3.029201  3.898818  5.166109  6.233874  7.593585  9.028926
## [8] 10.787879 11.841940
## 
## $na_mean
## [1] 2.634303 3.763457 4.630139 5.450282 6.089774 6.660770 7.192983 7.660656
## [9] 8.323775

plot_errors(a, plotType = 'line')

Citation

Beck MW, Bokde N, Ascencio-Cortes G, Kulat K (2018). “R package imputeTestbench to Compare Imputation Methods for Univarite Time Series.” The R Journal, 10(1), 218-233. doi: 10.32614/RJ-2018-024 (URL: http://doi.org/10.32614/RJ-2018-024).