I think you need to talk to someone who uses your sort of geographic
data to find out what an appropriate metric for comparing your variables
is. Only then will you know what might be a suitable way forward.
Michael
On 22/12/2018 17:27, Giuseppe Cillis wrote:
Dear Michael,
Thanks for your answer.
So, I'm not an expert in R and statistics, how can I create this
interval of confidence of groups?
Thanks
Gc
Il giorno sab 22 dic 2018, 13:34 Michael Dewey <li...@dewey.myzen.co.uk
<mailto:li...@dewey.myzen.co.uk>> ha scritto:
Dear Giuseppe
If I understand you correctly you have a very large sample size so
it is
not surprising that you get very small p-values. Eevn a scientifically
uninteresting difference can become statistically significant with
large
samples. You probably need to define a metric for meaningful
differences
between groups and calculate a confidence interval for it.
Michael
On 21/12/2018 15:37, Giuseppe Cillis wrote:
> Dear all,
> I am a beginner with R (and also with the statistics) for which I
hope to
> be clear.
> I should do this non-parametric test on data I extracted from maps.
> In practice I have a column that represents the landscape
Dynamics of a
> certain time period (there are 3 dynamics, each of them marked by the
> number 1, 2 or 3) and the other column with the values of a
topographic
> variable (for example the slope) . In all, there are more than
90,000 pairs
> of values.
> Going to do the test in R, for all the dynamics and for all the
variables,
> I get out of the values of chi-square elevated (even in the order of
> thousands) and a p-value always <2.2e-16 .... why? Where can the
error be? in
> the script or in the test approach?
> Thanks in advance
>
> [[alternative HTML version deleted]]
>
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--
Michael
http://www.dewey.myzen.co.uk/home.html
--
Michael
http://www.dewey.myzen.co.uk/home.html
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