Hi Henrik,
that's perfect, thanks!
Greetings
Christof
Am 18-01-2013 19:26, schrieb Henrik Bengtsson:
Christof,
I've added support for this to the R.filesets package. In your case,
then all you need to do is:
library("R.filesets")
dlf <- readDataFrame(filename, skip="^year")
No need to specify any other arguments - they're all automagically
inferred - and the default is stringsAsFactors=FALSE.
This is in R.filesets v2.0.0 which I still haven't published on CRAN.
In the meanwhile, you can install it via:
source("http://aroma-project.org/hbLite.R";)
hbLite("R.filesets")
/Henrik
On Thu, Jan 17, 2013 at 1:34 AM, Christof Kluß <ckl...@email.uni-kiel.de> wrote:
Hello
thank you for the fast and helpful answer! Now the following works fine for
me
x <- readLines(filename)
i <- grep("^year", x)
dlf <- read.table(textConnection(x[i:length(x)]),
header = T, stringsAsFactors=F,sep="\t")
Greetings
Christof
Am 16-01-2013 16:55, schrieb Rui Barradas:
Hello,
Read the file using readLines, then grep "^year". You can then use a
textConnection to read.table:
x <- readLines(con = textConnection(
"informations (unknown count of lines)
... and at some point the table
------
year month mday value
2013 1 16 0 "))
# This is it
i <- grep("^year", x)
read.table(textConnection(x[i:length(x)]), header = TRUE)
Hope this helps,
Rui Barradas
Em 16-01-2013 14:17, Christof Kluß escreveu:
Hi
I would like to read table data from a text-files with extra
informations in the header (of unknown line count). Example:
informations (unknown count of lines)
... and at some point the table
------
year month mday value
2013 1 16 0
...
If it was an excel file I could use something like read.xls(...,
pattern="year") But it is a simple tab seperated text-file. Is there
an easy way to read only the table? (Without dirty things ;))
Thx
Christof
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