I am not a programmer. But I work with R and in principle everything seems to be correct. I have run some line of the code and it was correct. My doubts:

1. Why an as.table? Isn't it better to work with an as.data.frame? Check what is the limit of the column that an ace can have. table.

2. Are you proposing a new R package?

I am working on a new package too and you will need the following:

I am not a programmer. But I work with R and in principle everything seems to be correct. I have run some line of the code and it was correct. My doubts:

1. Why an as.table? Isn't it better to work with an as.data.frame? Check what is the limit of the column that an ace can have. table.

2. Are you proposing a new R package?

I am working on a new package too and you will need the following:

Publish a package

3.1 Itinerary

Check

R CMD check myPackage /

Build

R CMD build myPackage /

Publish (or update) to a repository

3.2 Check

Check a directory (from command line):

R CMD check myPackage /

Check an already built package (from command line):

R CMD check myPackage.tar.gz

This check includes more than 20 test points detailed in the Writing R extensions manual.

Well is to extense....But the code is ok i will check more

do you want to randomize an existing matrix ?

if so, the simple way is to use the 'randomizematrix' command ... e.g., if your original matrix is called 'SpecAb'

# using randomizeMatrix(SpecAb) in the picante package install.packages("picante") library(picante) block

You can try with R package bipartite, it has several algorithms to produce null matrices:

shuffle.web()

swap.web()

or

null.model()