On May 6, 2010, at 12:10 PM, Muhammad Rahiz wrote:
Hi all,
I have a file, say, test.txt, which contains the following
information. I'm trying to read in the file and specifying the
missing values as NA so that each column has the same number of rows.
I've tried all sorts of manipulation
Thanks Jim but I've tried the method but it didnt work.
Space separates the columns so when I pass
x <- read.csv("test.txt",sep=",")
it reads and prints ok but gives the wrong dim
x <- dim(x)
[1] 9 1
when the dim(x) should be 9 3
Muhammad
jim holtman wrote:
What is the delimiter be
What is the delimiter between the columns? If it is a tab/comma, then
read.table will handle it. If as your example shows, the missing data is
just a space, then you will have to have some code that cleans up the data,
For example a single space is replaced by a single comma, two spaces
replaced
Hi all,
I have a file, say, test.txt, which contains the following information.
I'm trying to read in the file and specifying the missing values as NA
so that each column has the same number of rows.
I've tried all sorts of manipulation but to no avail.
r1 r2 r3
1 3
2 3
3 2 3
4 2 3
5 2 3
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