Thanks, yes, I would like to do it in one try.
I a have a text file called archivo where every line is like that:
"2007-12-03 13:50:17 Juan Perez"
("yy-mm-dd hh:mm:ss First Name Second Name")
My code is it:
datos <- read.delim(archivo,header=FALSE,sep= " ",dec=".",
col.names=c("date","
On Fri, Jun 18, 2010 at 10:58 AM, Sebastian Kruk
wrote:
> I a have a text file where every line is like that:
>
> "2007-12-03 13:50:17 Juan Perez"
> ("yy-mm-dd hh:mm:ss First Name Second Name")
>
> I would like to make a data frame with two column one for date and the
> other one for name.
Suppo
Try this:
Lines <- "2007-12-03 13:50:17 Juan Perez"
read.csv2(textConnection(gsub("(:\\d{2})\\s", "\\1;", Lines)), header =
FALSE)
On Fri, Jun 18, 2010 at 11:58 AM, Sebastian Kruk wrote:
> I a have a text file where every line is like that:
>
> "2007-12-03 13:50:17 Juan Perez"
> ("yy-mm-dd hh:m
As the footer says:
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
There's probably another way using readLines or so to do it in one
try, but say you used :
frame <- read.delim("some_file.ext")
t
You data has 4 fields (separated by blanks) and that is what you are
reading. Just write some code to combine the fields:
newDF <- data.frame(time=as.POSIXct(paste(oldDF[[1]], oldDF[[2]]),
name=paste(oldDF[[3]], oldDF[[4]]))
On Fri, Jun 18, 2010 at 10:58 AM, Sebastian Kruk
wrote:
> I a have a
I a have a text file where every line is like that:
"2007-12-03 13:50:17 Juan Perez"
("yy-mm-dd hh:mm:ss First Name Second Name")
I would like to make a data frame with two column one for date and the
other one for name.
When I use read.delim it was transformed in a data frame with 4 colums.
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