Honestly thank you for the prompt responding and you are right I will tellyou what I want to do and not the way ..since I dont know much from R
I have a txt with Proteins "Prot_10035" "Func_0005874" "Func_0016787" "Func_0003774" "Func_0006898" "Func_0005856" "Func_0005525" "Func_0005737" "Func_0003924" "Func_0005515" "Func_0000166" "Prot_10036" "Func_0005739" "Func_0003735" "Func_0006412" "Func_0005763" "Func_0005840" "Prot_10037" "Func_0005739" "Func_0005515" "Prot_10039" "Func_0005576" "Func_0009615" "Func_0050832" "Func_0005615" "Func_0006955" "Func_0042742" "Func_0031640" "Func_0006935" "Prot_1004" "Func_0046872" "Func_0003887" "Func_0003684" "Func_0016740" "Func_0006281" "Func_0006260" "Func_0016779" "Func_0005634" "Prot_10040" "Func_0005886" "Func_0046488" "Func_0016301" "Func_0007409" "Func_0005524" "Func_0016740" "Func_0016308" "Func_0000166" which is 8527 lines and 145 columns (not all the proteins have the same number of proteins) What I want is to predict whether those proteins are related to cancer or not depending on whether they have some functions. I found that there are 3 functions very often related to cancer and in case a protein has 2/3 or 3/3 to "label" it (somehow-maybe adding an extra column) as cancer related The names of the Proteins are always in the 1st column but the names of the functions can be at any of the next columns So what I did is to use this loop, but I cant write properly the way I want it to print the results so to use them again (I need to know the name of the proteins having the functions in a column so as next step to compare it with another file -test data set- and conclude to true positive, false positive, true negative, false negative It cant be as hard as I see it :):) -- View this message in context: http://r.789695.n4.nabble.com/Writing-to-a-file-tp3070617p4363940.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.