Hello all,
I have the following function call to create a matrix of POP_SIZE rows
and fill it with bit strings of size LEN:
pop=create_pop_2(POP_SIZE, LEN)
I have 3 questions:
(1) If I did
keep_pop[1:POP_SIZE] == pop[1:POP_SIZE]
to keep a copy of the original data structure before manipulating
'pop' potentially, would this make a deep copy or just shallow? Ie
if I change something in 'pop' would it be reflected in 'keep_pop'
too? (I don't think so, but just wanted to check). I would like
two independent copies.
(2) If I wanted to change the order of *rows* in my matrix 'pop', is there
an easy way to shuffle these? I don't want to change anything in the
columns, just the complete rowsn (E.g., in Python I could just say
something like suffle(pop) assuming pop is a list of list) - is there
an equivalent for R?
(3) I would like to compare the contents of 'keep_pop' with 'pop'. Though
the order of rows may be different it should not matter as long as
the same rows are present. Again, in Python this would be simply
if sorted(keep_pop) == sorted(pop):
print 'they are equal'
else
print 'they are not equal'
Is there an equivalent R code segment?
Thanks,
Esmail
--------------- the code called above -------------
####################################################
# create a binary vector of size "len"
#
create_bin_Chromosome <- function(len)
{
sample(0:1, len, replace=T)
}
############## create_population ###################
# create population of chromosomes of length len
# the matrix contains twice as much space as popsize
#
create_pop_2 <- function(popsize, len)
{
datasize=len*popsize
print(datasize)
npop <- matrix(0, popsize*2, len, byrow=T)
for(i in 1:popsize)
npop[i,] = create_bin_Chromosome(len)
npop
}
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