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
[[alternative HTML version deleted]]
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 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
On Wed, Feb 26, 2014 at 2:43 PM, Rajendra Mohan panda
rmp.iit@gmail.com 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?
--
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
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
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 ch...@trickysolutions.com.au wrote:
Whenever I hit this problem I add the minimum to all scores so they
now range from 0 and above. If
