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 -- View this message in context: http://www.nabble.com/Removing-Numeric%2C0-from-dataframe-tp21339704p21339704.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
