tsAirgapComplete: Time series of monthly airline passengers (complete)

In imputeTS: Time Series Missing Value Imputation

Time series of monthly airline passengers (complete)

Description

Monthly totals of international airline passengers, 1949 to 1960. This time series provides the truth for the missing values of the tsAirgap time series. Thus it is identical to the tsAirgap time series except that no value is missing.

Usage

tsAirgapComplete

Format

Time Series (ts) with 144 rows.

Details

The dataset originates from Box and Jenkins (see citation) and is a commonly used example in time series analysis literature.

It characteristics (strong trend, strong seasonal behavior) make it also a great example for time series imputation. Thus the version with inserted NA gaps was created under the name tsAirgap.

In order to use this series for comparing imputation algorithm results, there are two time series provided. One series without missing values, which can be used as ground truth. Another series with NAs, on which the imputation algorithms can be applied.

There are the two time series:

• tsAirgap - The time series with NAs.

• tsAirgapComplete - Time series without NAs.

Source

Box, G. E. P., Jenkins, G. M., Reinsel, G. C. and Ljung, G. M. (2015). Time series analysis: forecasting and control. Fifth Edition. John Wiley and Sons.

See Also

tsHeating, tsNH4

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