Hello, I used read.xlsx to read in Excel files but for large files it turned out to be not very efficient. For that reason I use a programme which writes each sheet in an Excel file into tab-delim txt files. After that I tried using read.table and read.delim to read in those txt files. Unfortunately, the results are not as expected. To show you what I mean I created a tiny Excel sheet with some rows and columns and read it in using read.xlsx. I also used my script to write that sheet to a tab-delim txt file and read that one it with read.table and read.delim. Here is the R output:
(test <- read.table(Sheet1.txt, header=TRUE, sep="\t"))
Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 1 did not have 5 elements
(test <- read.delim(Sheet1.txt, header=TRUE, sep="\t"))
c1 c2 c3 X 123 213 NA NA NA 234 asd NA NA NA
(test <- read.xlsx(file.path(data), "Sheet1"))
c1 c2 c3 NA. NA..1 NA..2 1 123 <NA> 213 <NA> <NA> 2 234 asd NA <NA> The last output is what I would expect the file to be read in. Columns 4 to 6 do not have any header rows. in R1C4 I added some white spaces as well as into R2C5 and R2C6 which a read in correctly by the read.xlsx function. read.table and read.delim seem not to be able to handle such files. Is there any workaround for that? Cheers -- View this message in context: http://r.789695.n4.nabble.com/Problems-reading-tab-delim-files-using-read-table-and-read-delim-tp4369195p4369195.html Sent from the R help mailing list archive at Nabble.com.