na_replace: Replace Missing Values by a Defined Value

In imputeTS: Time Series Missing Value Imputation

Replace Missing Values by a Defined Value

Description

Replaces all missing values with a given value.

Usage

na_replace(x, fill = 0, maxgap = Inf)

Arguments

x	Numeric Vector (vector) or Time Series (ts) object in which missing values shall be replaced
fill	Value used to replace the missing values
maxgap	Maximum number of successive NAs to still perform imputation on. Default setting is to replace all NAs without restrictions. With this option set, consecutive NAs runs, that are longer than 'maxgap' will be left NA. This option mostly makes sense if you want to treat long runs of NA afterwards separately.

Value

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

Author(s)

Steffen Moritz

See Also

na_interpolation, na_kalman, na_locf, na_ma, na_mean, na_random, na_seadec, na_seasplit

Examples

# Prerequisite: Create Time series with missing values
x <- ts(c(2, 3, NA, 5, 6, NA, 7, 8))

# Example 1: Replace all NAs with 3.5
na_replace(x, fill = 3.5)

# Example 2: Replace all NAs with 0
na_replace(x, fill = 0)

# Example 3: Same as example 1, just written with pipe operator
x %>% na_replace(fill = 3.5)

imputeTS documentation built on Sept. 9, 2022, 9:05 a.m.