On Tue, 30 Jan 2024, Leo Mada wrote:
It depends how the data is generated.
Although I am not an expert in ecology, I can explain it based on a
biomedical example.
Leo,
My data are environmental, observational concentrations of water
constituents. It's not only how data are generated, what que
Dear Rich,
It depends how the data is generated.
Although I am not an expert in ecology, I can explain it based on a biomedical
example.
Certain variables are generated geometrically (exponentially), e.g. MIC or
Titer.
MIC = Minimum Inhibitory Concentration for bacterial resistance
Titer = di
On Mon, 22 Jan 2024, Rich Shepard wrote:
As an aquatic ecologist I see regulators apply the geometric mean to
geochemical concentrations rather than using the arithmetic mean. I want to
know whether the geometric mean of a set of chemical concentrations (e.g.,
in mg/L) is an appropriate represen
On Mon, 22 Jan 2024, Ben Bolker wrote:
I think https://stats.stackexchange.com would be best: r-sig-ecology is
pretty quiet these days
Okay, Ben.
Thanks,
Rich
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I think https://stats.stackexchange.com would be best: r-sig-ecology
is pretty quiet these days
On 2024-01-22 11:05 a.m., Rich Shepard wrote:
On Mon, 22 Jan 2024, Bert Gunter wrote:
better posted on r-sig-ecology? -- or maybe even stack exchange?
Bert,
Okay.
Regards,
Rich
On Mon, 22 Jan 2024, Bert Gunter wrote:
better posted on r-sig-ecology? -- or maybe even stack exchange?
Bert,
Okay.
Regards,
Rich
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better posted on r-sig-ecology? -- or maybe even stack exchange?
Cheers,
Bert
On Mon, Jan 22, 2024 at 7:45 AM Rich Shepard
wrote:
> A statistical question, not specific to R.
>
> I'm asking for a pointer for a source of definitive descriptions of what
> types of data are best summarized by the
A statistical question, not specific to R.
I'm asking for a pointer for a source of definitive descriptions of what
types of data are best summarized by the arithmetic, geometric, and harmonic
means.
As an aquatic ecologist I see regulators apply the geometric mean to
geochemical concentrations
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