Plot histogram and lognormal fit on the same time

Sorry, Bert.
The fitdistr function estimates parameters via maximum likelihood.
(i.e. The "lognormal" part of this, is not a kernel).


On Fri, Jan 22, 2021 at 5:14 AM Bert Gunter <bgunter.4567 at gmail.com>
wrote:

In future, you should try to search before posting. I realize that

getting

good search terms can sometimes be tricky, but not in this case: 'plot
density with histogram in R' or similar on rseek.org or just on your

usual

search platform brought up several ways to do it.

As a (slightly offtopic) side issue, be careful with this: both

histograms

and smooth density estimates are just that: density **estimates** that
depend on both the data and various parameters, e.g. the location of the
bins for histograms and kernel for kernel density estimates. You may
therefore get plots where the two do not appear to "match" when you use

the

defaults for each.


Bert Gunter

"The trouble with having an open mind is that people keep coming along

and

sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Thu, Jan 21, 2021 at 3:54 AM Eric Leroy <leroy at icmpe.cnrs.fr> wrote:

Hi,

I would like to plot the histogram of data and fit it with a lognormal
distribution.

The ideal, would be to superimpose the fit on the histogram and write
the results of the fit on the figure.

Right now, I was able to plot the histogram and fit the density with a
lognormal, but I can't combine all together.

Here is the code I wrote :

histdata <- hist(dataframe$data)

library(MASS)

fitdistr(histdata$density, "lognormal")

Can you help me ?

Best regards,

--

*Eric Leroy*

/Responsable de la plateforme microscopie ?lectronique/

/Correspondant S?curit? des Syst?mes Informatiques de l'ICMPE/

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