Ignore missing data frames when using rbind.fill in the list of data frames

Question

I have many data frames that are usually in a format file.[i], but sometimes there are missing data frames:

file.1 file.2 file.3 file.4 file.5 file.6 file.7 file.9 file.11 file.13

I tried to do the following:

 dt <- do.call(rbind.fill, 
              lapply(paste("file.", 1:length(filenames), sep=""), get))

And I get:

Error in FUN(c("file.1", "file.2", "file.3", "file.4", "file.5", "file.6",  : 
  object 'file.8' not found

Is there any way to rbind.fillignore missing data frames?

Answer 1

Try the following:

obj.names <- paste0("file.", seq_along(filenames))
dt <- rbind.fill(mget(Filter(exists, obj.names)))