对于引入显式错误处理的不同方法， $ c> tryCatch 来处理在你的 read.table 中可能发生的任何错误。

  for（f in files）{
 data  if（file。 size（f）> 0）{
 read.table（f，header = F，sep =，）
} 
}，error = function（err）{
＃错误处理程序拾取发生错误的位置
 print（paste（Read.table does not work！：，err））
}）
 data $ species<  -  strsplit （f，split =c.txt）
 DF } 
 

I have a folder with about 700 text files that I want to import and add a column to. I've figured out how to do this using the following code:

files = list.files(pattern = "*c.txt")
DF <- NULL
for (f in files) {
  data <- read.table(f, header = F, sep=",")
  data$species <- strsplit(f, split = "c.txt") <-- (column name is filename)
  DF <- rbind(DF, data)
}
write.xlsx(DF,"B:/trends.xlsx")

Problem is, there are about 100 files that are empty. so the code stops at the first empty file and I get this error message:

Error in read.table(f, header = F, sep = ",") : no lines available in input

Is there a way to skip over these empty files?

Thanks!

For a different approach that introduces explicit error handling, think about a tryCatch to handle anything else bad that might happen in your read.table.

for (f in files) {
    data <- tryCatch({
        if (file.size(f) > 0){
        read.table(f, header = F, sep=",")
           }
        }, error = function(err) {
            # error handler picks up where error was generated
            print(paste("Read.table didn't work!:  ",err))
        })
    data$species <- strsplit(f, split = "c.txt") 
    DF <- rbind(DF, data)
}