zoo: an S3 class and methods for indexed totally ordered observations

Achim Zeileis, Gabor Grothendieck

Publikation: Working/Discussion PaperWU Working Paper

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Abstract

zoo is an R package providing an S3 class with methods for indexed totally ordered observations, such as 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.
OriginalspracheEnglisch
ErscheinungsortVienna
HerausgeberInstitut für Statistik und Mathematik, WU Vienna University of Economics and Business
DOIs
PublikationsstatusVeröffentlicht - 2005

Publikationsreihe

ReiheResearch Report Series / Department of Statistics and Mathematics
Nummer16

WU Working Paper Reihe

  • Research Report Series / Department of Statistics and Mathematics

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