impute_weighted_ma: Impute missing values of one variable by Weighted Moving...

In MAGDa-BeuthHS/imputeData: Read timeseries from csv-files and impute missing Data

Description

Impute missing values of one variable by Weighted Moving Average (imputeTS-package)

Usage

impute_weighted_ma(data, var, k = 10, weighting = "simple", ...)

Arguments

data	the data.table incl. variables with missing data
var	the name of the variable with missing data
k	size of moving window (Expands to both sides of the center element e.g. k=2 means 4 observations (2 left, 2 right))
weighting	Weighting to be used. Accepts the following input: "simple" - Simple Moving Average (SMA) "linear" - Linear Weighted Moving Average (LWMA) "exponential" - Exponential Weighted Moving Average (EWMA) (explanation from imputeTS-package)
...	not used

Value

vector with complete data of variable

MAGDa-BeuthHS/imputeData documentation built on May 8, 2019, 9:28 a.m.