Fit generic function (special case Power Law) to a histogram in R

Asked Oct 08 '13 at 16:40

Active Oct 08 '13 at 17:28

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How can I fit a generic curve to an histogram in R?

For instance, in the example: Fitting a density curve to a histogram in R it's shown how to use ggplot density estimate, but I want to fit any kind of curve (to be more specific in this case I want to fit a power law, but it could be any other one, like x^2).

How do I fit that to the data:

hdat <- hist(c(rep(65, times=5), rep(25, times=5), rep(35, times=10), rep(45, times=4)))

edited May 23 '17 at 12:21

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asked Oct 08 '13 at 16:40

jbssm

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Have a look at `poly`, `nls` and `loess`. – Señor O Oct 08 '13 at 16:48
@DWin Thank you, but that doesn't explain how to fit an histogram, it shows how to fit a 2D data sample. – jbssm Oct 08 '13 at 17:19
A histogram is a 2D data sample – Señor O Oct 08 '13 at 17:23
`y <- hdat$counts; x <- hdat$mids` – IRTFM Oct 08 '13 at 17:29

Fit generic function (special case Power Law) to a histogram in R

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