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R Statistical Application Development by Example Beginner's Guide by Prabhanjan Narayanachar Tattar

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Data re-expression

The presence of an outlier or overspread of the data may lead to an incomplete picture of the graphical display and hence, statistical inference may be inappropriate in these scenarios. In many such scenarios, re-expression of the data on another scale may be more useful, refer to Chapter 3, The Problem of Scale, Tukey (1977). Here, we list the scenarios from Tukey where the data re-expression may help circumvent the limitations cited in the beginning.

The first scenario where re-expression is useful is when the variables assume non-negative values, that is, the variables never assume a value lesser than zero. Examples of such variables are age, height, power, area, and so on. A thumb rule for the application of re-expression ...

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