On Dec 4, 2012, at 8:56 PM, Gyanendra Pokharel wrote:

Thanks Dennis,
Your code also produces same as Jim's but I am not looking that one, I need to use "cbind" so that finally I will get the data frame of size 200X320
(i,e, 200 X(16X20)).
Thanks

Here we are a day later and your question risks sinking beneath the waves because you have not realized that you are implicitly making impossible demands on your volunteer consultants. Please review your postings and responses and try to put yourself in the position of someone who doesn't have the capacity to read your mind or see your screen.

--
David.


On Tue, Dec 4, 2012 at 10:46 PM, Dennis Murphy <djmu...@gmail.com> wrote:

In addition to Jim's reply, had you used the plyr package, you could
have done this in one shot:

library(plyr)

DF <- ldply(llply(temp, read.table), rbind)

The inner llply call is equivalent to your lapply() and the outer
ldply() is equivalent to Jim's do.call() code.

Dennis

On Tue, Dec 4, 2012 at 6:37 PM, Gyanendra Pokharel
<gyanendra.pokha...@gmail.com> wrote:
Hi group,

I imported  16 data frames using the function "list.files"

temp <- list.files(path="...........")
myfiles = lapply(temp, read.table,sep = "")

Now I have 16 data set imported in R window.

I want to combine them by row and tried some thing like (Here I am
considering only 20 columns)

for(i in 1:16){
   data<- cbind(myfiles[[i]][,1:20])

}


but it returns only first data set. I can combine them using

data <- cbind(myfiles[[1]][,1:20],myfiles[[2]] [1:20],...............)

But  I want in a loop so that I can make the efficient code.

Any kind of suggestion will be great for me.

Thanks

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David Winsemius, MD
Alameda, CA, USA

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