Dear all,

I have a set of NGS data, that barcoded from B1 to B12, each one of the codes represents one sample.

I need to apply analysis/calculation on these samples and I often find myself writing multiple lines, for example, convert multiple tables to multiple data.frames using the following:

B1.frame = as.data.frame(B1)

B2.frame = as.data.frame(B2)

.........

B12.frame = as.data.frame(B12)

I tried to use for loop to simply the codes, but it didn't work. Is there a way to use a loop so that I don't need to write 12 lines all the time while processing files with 'B1-B12' in the filename.

This is not quite Bioconductor related and I couldn't work it out simply because I am a newbie. It would be great if someone can help, especially I need to use 96 barcodes in the future.

Thank you!

You are right. This isn't really a Bioconductor question, and should probably be asked on R-help (r-help@r-project.org).

In addition, it isn't really clear what you are trying to do. But if I assume you have, like, 12 things called B1-B12 that are matrices or something and you want to make them all data.frames with new names (why?), then you could use a combination of assign and get.

for(i in 1:12) assign(paste0("B", i, ".frame")), as.data.frame(get(paste("B", i))))

Hi James,

I am trying to compare the DNA sequences and their frequencies in Table B1-B12. I would like to cbind all 12 tables to a data.frame and normalize each freq to the total seqs number.  But the number of DNA sequences and their frequencies in each Bi file are different. cbind ignores the NAs, causing less total DNA seqs. cbind.na needs a colname, which I cannot assign to a table. So I converted all tables to df then Reduce, merge dfs to get the final df. 

Thank you for your help.

XIA