Hi Xing,
This depends somewhat on what you mean by "merge", and how many files
you are talking about. Supposing you are dealing with few enough
files you can do it manually:
dat1 <- read.csv("yourfile1.csv")
dat2 <- read.csv("yourfile2.csv")
...
datn <- read.csv("yourfilen.csv")
If each file contains unique variables:
complete.dat <- cbind(dat1, dat2, ... , datn)
if each one is just a continuation rowise:
complete.dat <- rbind(dat1, dat2, ... , datn)
If they are all sort of related but in no consistent way, and do not need to be:
complete.dat <- list(dat1, dat2, ... , datn)
If you need some fancier merging than just columnwise or rowwise, look
at merge(). For documentation on these features see:
?data.frame # to find out more about data frames (which is what read.csv uses)
?list # for details about what a list is
?read.table
?read.csv # just a special wrapper for read.table
?cbind # for column binding
?rbind # for row binding
?merge # for more specialized merging
example(merge) # for examples using merge()
HTH,
Josh
On Thu, Oct 7, 2010 at 8:19 PM, XINLI LI <lihaw...@gmail.com> wrote:
> Dear R Group:
>
> How to import multiple csv files and merge into one dataset.
>
> Thanks and Regards,
>
> Xing
>
> [[alternative HTML version deleted]]
>
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--
Joshua Wiley
Ph.D. Student, Health Psychology
University of California, Los Angeles
http://www.joshuawiley.com/
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