For some reason R is reading in the file and creating new rows with
fill=TRUE that begin with NA. In other words, the R table I end up
with has more rows than my text file.
These are very long time series (3500 observations). Each of my text
file has about 200 rows. With the example I gave in the previous
message though I want:
dim(ex)
[1] 3 5
So that the resulting table is actually:
1 0 3 4 5
1 3 5 6 8
2 1 1 1 4
Thanks for the help,
Chris
On Dec 10, 2008, at 2:17 PM, Jorge Ivan Velez wrote:
I'm sorry, I mixed some code. Instead of what I sent you, try this:
ex = read.table('example.txt',header=FALSE,fill=TRUE)
ex
# V1 V2 V3 V4 V5 V6 V7 V8
#1 1 0 3 4 5 NA NA NA
#2 1 3 5 6 8 7 7 NA
#3 2 1 1 1 4 7 7 7
dim(ex)
# [1] 3 8
HTH,
Jorge
On Wed, Dec 10, 2008 at 2:15 PM, Jorge Ivan Velez <[EMAIL PROTECTED]
> wrote:
Dear Chris,
I saved the data you sent us as "example.txt", then I used:
> ex = read.delim2('example.txt',header=TRUE,fill=TRUE)
Warning message:
In read.table(file = file, header = header, sep = sep, quote =
quote, :
incomplete final line found by readTableHeader on 'example.txt'
> ex
V1 V2 V3 V4 V5 V6 V7 V8
1 1 0 3 4 5 NA NA NA
2 1 3 5 6 8 7 7 NA
3 2 1 1 1 4 7 7 7
> dim(ex)
[1] 3 8
Is this what you want?
HTH,
Jorge
On Wed, Dec 10, 2008 at 1:50 PM, Chris Poliquin <[EMAIL PROTECTED]
> wrote:
Hi,
I need to read in a series of text files with a time series on each
row. The series are of different lengths and I'd like to just use
the first row as the length and have R ignore extra values in rows
that go over this length.
For example:
1 0 3 4 5
1 3 5 6 8 7 7
2 1 1 1 4 7 7 7
So the 7s would be ignored and I would have a 5x3 matrix. I tried
creating a series of colClasses with NULLs for the extra values by
using max(count.fields(file)) - min(count.fields(file)) but this
didn't work and would be too time consuming for lots of files.
fill=T doesn't seem to be working either. When I use fill=T I get
extra rows for some reason in the table. R doesn't seem to just be
appending NAs to the end of the short rows.
Any way to accomplish this?
- Chris
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and provide commented, minimal, self-contained, reproducible code.