Hi,
I've tried to figure this out using Intro to R and help(), to no avail
- I am new at this.
I'm trying to write a script that will read multiple files from a
directory and then merge them into a single new data frame.
The original data are in a tree-ring specific format, and so I've first
used a function (read.rwl) from the dplR package to read each file,
translate each into a more intuitive time series format, and then put
each new data frame into a single object, demo.Rwl:
>demo.Rwl <- list.files(pattern=".RWL$"); for(i in demo.Rwl) { x <-
read.rwl(i, header=TRUE); assign(print(i, quote=FALSE), x)}
This part seems to work. Now, I want to be able to put all of the
individual data frames contained in demo.Rwl into a single data frame,
merging by rows (rows are calendar years in the time series). I think I
know how to do this by typing each data set name into a merge:
>merge(x,y..., by.x=0, all=TRUE )
However, I'd like to be able to script something that will save me the
time of typing in all of the individual data set names, as I will be
repeating this operation many times with many different numbers of
original input files. Is there a way to code a merge such that every
individual data frame contained in demo.Rwl (a different number every
time) gets combined into a single data set?
Thanks for the help!
Ali
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