imputeTS (version 2.7)

na.remove: Remove Missing Values

Description

Removes all missing values from a time series.

Usage

na.remove(x)

Arguments

x

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

Value

Vector (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).

See Also

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

Examples

# NOT RUN {
#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

# }