Hello All,
I've been sifting through tons of R Documentation, trying to find a command
that converts a community matrix dataset into a species pair co-occurance
data frame, and have failed miserably to find one. Does a function already
exist in one of the community analysis packages?
Thanks in a
Lanna,
I don't know exactly what do you mean by co-occurrence data frame, but
if you'd like to get a species-by-species matrix, in which you count
the co-occurrences of the species (columns in the sites-by-species
community matrix) with each other, you can use the crossprod function
or the %*% ope
Hi Peter,
Thanks for your quick response. I am working with a dataframe that has
columns of Year, Location, Type (pertains to type of location), Species, and
Presence/Absence. What I'm interested in doing is generating a data frame
that would not lose the "Year" , "Location" and "Type" data. I
Hi there;
library(ecodist)
?crosstab
Wilfried
Le 12 mars 10 à 16:07, Lanna Jin a écrit :
> Hi Peter,
>
> Thanks for your quick response. I am working with a dataframe that
> has
> columns of Year, Location, Type (pertains to type of location),
> Species, and
> Presence/Absence. What I
Lanna Jin writes:
> Hi Peter,
>
> Thanks for your quick response. I am working with a dataframe that has
> columns of Year, Location, Type (pertains to type of location), Species, and
> Presence/Absence. What I'm interested in doing is generating a data frame
> that would not lose the "Year" ,
Hi
After performing a permutational ANOVA with adonis in vegan, is there a way
to do multiple comparisons for significant factors with more than 2 levels
as well for significant interactions? Any help would be very much
appreciated
Thanks,
Jaime
[[alternative HTML version dele
Hi Jaime,
The interactions are just a matter of defining the formula as such, e.g.
adonis(dist~factor1*factor2).
I suppose, a multiple comparison (with the reasoning of a post-hoc test)
can just be done using adonis() for pairwise comparisons and then use
p.adjust().
Cheers, gabriel
On 12/
