imputeTS (version 3.3)

na_replace: Replace Missing Values by a Defined Value

Description

Replaces all missing values with a given value.

Usage

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

Value

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

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.

Author

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)