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Looking At Data

In: EnvironmentalStats for S-Plus

Author

Listed:
  • Steven P. Millard

    (Probability, Statistics & Information)

Abstract

Once you have a collection of observations from your environmental study, you should thoroughly examine the data in as many ways as is possible. One of the main strengths of S-Plus is the plethora of functions for graphically exploring your data. When the first widely available commercial statistical software packages came out in the 1960’s, the emphasis was on statistical summaries of data, such as means, standard deviations, and measures of skew and kurtosis. It is still true that “a picture is worth a thousand words,” and no amount of summary statistics can replace a good graph to explain your data. Helsel and Hirsch (1992, Chapters 1, 2, and 16) and USEPA (1996) give a good overview of statistical and graphical methods for exploring environmental data. Cleveland (1993, 1994) and Chambers et al. (1983) are excellent general references for methods of graphing data. This chapter discusses some of the built-in functions in S-Plus for looking at your data, as well as some new and modified functions available in EnvironmentalStats for S-Plus.

Suggested Citation

  • Steven P. Millard, 1998. "Looking At Data," Springer Books, in: EnvironmentalStats for S-Plus, chapter 0, pages 61-115, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4684-0460-9_5
    DOI: 10.1007/978-1-4684-0460-9_5
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