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 zoo: S3 Infrastructure for Regular and Irregular Time Series


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zoo is an R package providing an S3 class with methods for indexed totally ordered observations, such as discrete irregular time series. Its key design goals are independence of a particular index-time-date class and consistency with base R and the -ts- class for regular time series. This paper describes how these are achieved within zoo and provides several illustrations of the available methods for -zoo- objects which include plotting, merging and binding, several mathematical operations, extracting and replacing data and index, coercion and NA handling. A subclass -zooreg- embeds regular time series into the -zoo- framework and thus bridges the gap between regular and irregular time series classes in R.



Autor: A. Zeileis; G. Grothendieck

Fuente: https://archive.org/



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