Replicability and reproducibility Reproducibility and replicability play important roles in science to confirm new discoveries and to extend our understanding of the natural world. Both are about getting consistent results; the former using mainly the same data, methods and code; while the latter across studies aiming to answer the same scientific question with different collected data and methods (National Academies of Sciences, Engineering, and Medicine; 2019).

When working with time series, sometimes, it is desired to highlight some events with some particular pattern. For example, highlight periods of time where the variable on interest exceed certain threshold or conversely. With this in mind, I extended an stat of ggplot2 to allow easy visualization of those events.