If you use these, remember that R cos() needs argument in radians.
Cheers, Jari Oksanen
Sent from my iPad
> On 18.10.2013, at 8.40, "Ivailo" wrote:
>
>> On Fri, Oct 18, 2013 at 6:16 AM, Michael Marsh wrote:
>>
>> If you want a measure of exposure, i. e., heat, I suggest using the
>> "heatlo
On Fri, Oct 18, 2013 at 6:16 AM, Michael Marsh wrote:
>
> If you want a measure of exposure, i. e., heat, I suggest using the
> "heatload" transformation suggested by McCune and Grace (2002). Their
> assumption is that mid-afternoon, when the sun is in the southwest, is
> usually the warmest ti
If you want a measure of exposure, i. e., heat, I suggest using the
"heatload" transformation suggested by McCune and Grace (2002). Their
assumption is that mid-afternoon, when the sun is in the southwest, is
usually the warmest time of day. The formula at the end of Chapter 3
follows:
heat l
Thankyou very much Jari,
actually this clarifies anything in my mind about this topic.
What I was looking for is plotting the correlation vectors of my environmental
variables (that in my hypothesis are the independent variables) on to my
ordination scores of my dependent table.
Graphically, en
Thank you very much for these explanations. It is quite technical and I am not
sure that I got it all, but I will try to find the book of Gelman&Hill to get
more insight into
shrinkage. I read the book of Zuur and as you said the topic is not extensively
covered.
__
On 17/10/2013, at 02:49 AM, Paolo Piras wrote:
> Dear list,
> I write you because I do not understand the behavior of envfit() in vegan.
> Basically, it takes a matrix coming from an ordination procedure and it fits
> on it another matrix (often an environmental matrix).
> The projections of p
