I'm still struggling to see why we'd expect temperature to be well
modelled via a species packaging model???
G
On 26 February 2014 16:21, Chris Howden wrote:
> Whenever I hit this problem I add the minimum to all scores so they
> now range from 0 and above. If necessary I can back transform.
>
>
Whenever I hit this problem I add the minimum to all scores so they
now range from 0 and above. If necessary I can back transform.
As I haven't changed the ratio the parameters coefficients have the
same meaning, so interpretation is no problem. (Although the intercept
may now change and be diffic
It depends *where* to include negative values. Negative values are OK as
constraints (environmental variables, right hand side of the model formula).
However, all marginal sums of the response data (left hand side of the model
formula) must be above zero. It is technically possible to have some
On Wed, Feb 26, 2014 at 2:43 PM, Rajendra Mohan panda
wrote:
...
> I have temperature data with negative values which I am not able to include
> for my CCA ordination. ...
Rajendra, I am curious -- why are you not able to include the negative
values in the CCA ordination?
--
"The cure for bored
Dear forum members
I had successful use adehabitatHR R package to estimate home ranges for
jaguar based on collar data. Now I'm trying to analyse relocations with
adehabitatLT package following the vignette (
http://cran.r-project.org/web/packages/adehabitatLT/vignettes/adehabitatLT.pdf).
But some
Rajendra,
Would converting the temperatures to degrees Kelvin work? (You cold
back-transform after analysis when presenting results/figures.)
Cheers,
Phil
On 2/26/2014 6:43 AM, Rajendra Mohan panda wrote:
> Dear All
>
> I have temperature data with negative values which I am not able to include
Dear All
I have temperature data with negative values which I am not able to include
for my CCA ordination. Kindly suggest how can I go with the analysis
without ignoring the data with negative values.
With best Regards
Rajendra M Panda
SWR, IIT KGP
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