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I have a knowledge set for which the dependent variable is both of those constructive and negative. Would you say an alternative should be to acquire absolute values, then get logs, ahead of multiplying the first values with -one.
Log transformation of detrimental values will not be feasible and you have instructed to incorporate a least consistent for the collection. Will it influence the stationarity? Will it have an effect on the analysis? Do I must back again rework data? If yes, then how and when must I again remodel it?
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000001. A normalizing transformation does constantly result in an interpretable final result, especially if it includes a change parameter. You'll be able to say which the new variable is often a log transformation of shifted values.
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