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
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 =
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
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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