I have two dataframes in R that were tab seperated .txt files
y<-read.table("foo.txt", header=T)
x<-read.table("foo.txt", header=T)
these are set up like this:
Datetime Temp
01/01/07 00:01 11.5
01/01/07 00:16 11.6
etc etc to 66000 rows in y and 33000 rows in x
The two files overlap with the same data for a period of time but
contain different values outside of these. Is there a way to merge
these two data sets based on the shared date time column into one
large dataset of ~90,000 lines. I want to eventually make this into a
time series with frequency= 1/15.
Thanks
Stephen
--
Let's not spend our time and resources thinking about things that are
so little or so large that all they really do for us is puff us up and
make us feel like gods. We are mammals, and have not exhausted the
annoying little problems of being mammals.
-K. Mullis
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
