na_remove {imputeTS} | R Documentation |
Remove Missing Values
Description
Removes all missing values from a time series.
Usage
na_remove(x)
Arguments
x |
Numeric Vector ( |
Details
Removes all missing values from a input time series. This shortens the time series by the number of missing values in the series. Should be handled with care, because this can affect the seasonality of the time series. Seasonal patterns might be destroyed. Independent from the input, this function only returns a vector. (the time information of a resulting time series object wouldn't be correct any more).
Value
Vector (vector
)
Author(s)
Steffen Moritz
See Also
na_interpolation
,
na_kalman
, na_locf
,
na_ma
, na_mean
,
na_random
, na_replace
,
na_seadec
, na_seasplit
Examples
# Example 1: Remove all NAs
# Create Time series with missing values
x <- ts(c(2, 3, NA, 5, 6, NA, 7, 8))
# Example 1: Remove all NAs
na_remove(x)
# Example 2: Remove all NAs in tsAirgap
na_remove(tsAirgap)
# Example 3: Same as example 1, just written with pipe operator
x %>% na_remove()
[Package imputeTS version 3.3 Index]