I don't know if this completely solves your problem, but here are some
arguments to read.table/read.delim you might try:
row.names=FALSE
fill=TRUE
The details section also suggests using the colClasses argument as the
number of columns is determined from the first 5 rows which may not be
correct.
HTH
Jan
mails mails00...@gmail.com schreef:
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 213NA 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
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