Timeline for Should I convert raw data into growth rates if there are gaps in my data?
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Apr 15, 2016 at 20:45 | history | edited | Jack | CC BY-SA 3.0 |
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Apr 15, 2016 at 9:45 | comment | added | Nick Cox | I think in your last paragraph you mean dependent variables. In my view, dependent and independent, although still very popular, are terrible terms, not least because so many people mix them up. Many other terms are available for dependent variables, including responses and outcomes. | |
Apr 15, 2016 at 9:42 | comment | added | Nick Cox | A third option yet (see also the answer by @Danny) is consider working on transformed scales. Any variable increasing approximately exponentially might be better analysed on logarithmic scale. Any percent variable increasing from near 0 to near 100 might be better analysed on logit scale. | |
Apr 15, 2016 at 9:38 | history | edited | Nick Cox | CC BY-SA 3.0 |
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Apr 15, 2016 at 7:33 | history | edited | Silverfish | CC BY-SA 3.0 |
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Apr 15, 2016 at 5:47 | answer | added | Danny Wong | timeline score: 1 | |
Apr 15, 2016 at 5:11 | answer | added | Ezra Boyd | timeline score: 1 | |
Apr 15, 2016 at 4:20 | review | First posts | |||
Apr 15, 2016 at 7:33 | |||||
Apr 15, 2016 at 4:19 | history | asked | Jack | CC BY-SA 3.0 |