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 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
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
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
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
