plotNA.imputations

<p>plotNA.imputations was replaced by <code>ggplot_na_imputations</code>.
The new plotting function provides an improved version of the old plot e.g. it looks better now and is better adjustable,
because it is based on ggplot2. If you absolutely want to use the old function,
you need to download an older package version. Versions 3.0 and below still have the old functions.</p>

internal

Imputation (replacement) of missing values
in univariate time series.
Offers several imputation functions
and missing data plots.
Available imputation algorithms include:
'Mean', 'LOCF', 'Interpolation',
'Moving Average', 'Seasonal Decomposition',
'Kalman Smoothing on Structural Time Series models',
'Kalman Smoothing on ARIMA models'. Published in Moritz and Bartz-Beielstein (2017)
<doi:10.32614/RJ-2017-009>.

Steffen Moritz

imputeTS

Time Series Missing Value Imputation

Sebastian Gatscha

Earo Wang

Ron Hause

plotNA.imputations function

Discontinued - Use ggplot_na_imputations instead. — plotNA.imputations

Discontinued - Use <code>ggplot_na_imputations</code> instead.

plotNA.imputations: Discontinued - Use `ggplot_na_imputations` instead.

Description

Usage

Arguments