On Fri, 23 Mar 2007, Dirk Eddelbuettel wrote:
> Nit 1: read.csv() is for csv files which tend to have "," as a separator;
> read.table() is more useful here.
Well, that's correct. read.csv was just a leftover from former
tests and finally it worked also this way - but thanks for the
hint anyway.
>> mydata <- read.table(file="/tmp/mydata.dat", sep="\t", header=TRUE)
>> mydata
> date value1 value2
> 1 01.03.2007 17 42
> 2 02.03.2007 2 3
> 3 03.03.2007 47 11
>> mydata$date <- as.Date(mydata$date, "%d.%m.%Y") ## [1]
Ahhh, the '$date' thingy did the trick!
> [1] As I mentioned, you need to supply a format unless your data lists as
> (for today) 2007-03-23 which is an ISO format
That's obvious.
> [2] The with() simply makes the indexing easier. Direct use is
> plot(mydata$date, mydata$value1) or also
> plot(mydata[,"date"], mydata[,"value1"]) or also
> plot(mydata[,1], mydata[,2])
Ahh, so many ways to do it right. You must be really unlucky
if you manage to do it wrong as I did. ;-)
> [3] See the help for all the options on png, as well the numerous examples
> for plot to annotate, give titles, ...
>
> [4] dev.off() is critical to get the 'device' (here a file) closed.
Yea, read this in the docs. Now I can start fine tuning and start
having fun with R. ;-)
> My pleasure. Happy R-ing, Dirk
Thanks for the nice kick-start
Andreas.
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