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Speaking Stata: Graphs for all seasons

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  • Nicholas J. Cox

    (Durham University, UK)

Abstract

Time series showing seasonality- marked variation with time of year- are of interest to many scientists, including climatologists, other environmental scientists, epidemiologists, and economists. The usual graphs plotting response variables against time, or even time of year, are not always the most effective at showing the fine structure of seasonality. I survey various modifications of the usual graphs and other kinds of graphs with a range of examples. Although I introduce here two new Stata commands, cycleplot and sliceplot, I emphasize exploiting standard functions, data management commands, and graph options to get the graphs desired.

Suggested Citation

  • Nicholas J. Cox, 2006. "Speaking Stata: Graphs for all seasons," Stata Journal, StataCorp LP, vol. 6(3), pages 397-419, September.
    • Handle: RePEc:tsj:stataj:v:6:y:2006:i:3:p:397-419
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    References listed on IDEAS

    as
    1. David Kantor & Nicholas J. Cox, 2005. "Depending on conditions: a tutorial on the cond() function," Stata Journal, StataCorp LP, vol. 5(3), pages 413-420, September.
    2. Nicholas J. Cox, 2006. "Speaking Stata: Time of day," Stata Journal, StataCorp LP, vol. 6(1), pages 124-137, March.
    3. Nicholas J. Cox, 2000. "Extensions to generate, extended," Stata Technical Bulletin, StataCorp LP, vol. 9(50).
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Qunyong Wang & Na Wu, 2012. "Menu-driven X-12-ARIMA seasonal adjustment in Stata," Stata Journal, StataCorp LP, vol. 12(2), pages 214-241, June.

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