[R] Re moving Numeric,0 from dataframe

[PDXRugger]

I realize i am breaking the posting rules by not posting sample code but i
tried building some sample test code for this problem based on my working
code and it wasnt producing what i wanted so hopefully a brief explanation
and my result will allow you guys enough information to offer some advice. 
My result:

allTAZprobs TAZS
[1,] Numeric,0   640 
[2,] 0.4385542   641 
[3,] 0.2876207   642 
[4,] Numeric,0   643 
[5,] Numeric,0   649 
[6,] Numeric,0   650 
[7,] 0.7543349   652 
[8,] Numeric,0   654 

is a dataframe that is built after about 4 iterative processes of looking up
some numbers in different tables and plugging them into the next process. 
The "Numeric,0" result is acheived becuase that missing value didnt get
through a "greater than" comparison with a random number, that part is fine. 
What i want the result to be is:

[1,] 0.4385542   641 
[2,] 0.2876207   642 
[3,] 0.7543349   652 

throwing out all of the rows with a "Numeric 0" and keeping the rest.  I
havent been able to find a way to do this while keeping the two colums
matched.  Not sure if i will have to alter things farther up in my code or
if i can just do some sort of unlist() function to clear out the unwanted
rows.  Again i apoligize for no working code and realize the breach of
protocol but i hope my question is clear and i hope someone can help, Cheers

JR
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