imputeTS (version 1.5)

na.seadec: Seasonally Decomposed Missing Value Imputation

Description

Removes the seasonal component from the time series, performs imputation on the deseasonalized series and afterwards adds the seasonal component again.

Usage

na.seadec(x, algorithm = "interpolation", ...)

Arguments

x

Numeric Vector (vector) or Time Series (ts) object in which missing values shall be replaced

algorithm

Algorithm to be used after decomposition. Accepts the following input:

• "interpolation" - Imputation by Interpolation

"locf" - Imputation by Last Observation Carried Forward "mean" - Imputation by Mean Value

Value

• Vector (vector) or Time Series (ts) object (dependent on given input at parameter x)

item

...

code

na.mean

See Also

na.interpolation, na.kalman, na.locf, na.ma, na.mean, na.random, na.replace, na.seasplit

Examples

#Prerequisite: Load a time series with missing values
x <- tsAirgap

#Example 1: Perform seasonal imputation using algortihm = "interpolation"
na.seadec(x, algorithm = "interpolation")

#Example 2: Perform seasonal imputation using algortihm = "mean"
na.seadec(x, algorithm = "mean")