Hi:

Here's an alternative using ldply() from the plyr package. The idea is to
read the data frames into a list, name them accordingly and then call
ldply().

# Read in the test data frames (you want to use list.files() instead to
input the data per Uwe's guidelines)
df1 <- read.table(textConnection("
+ var1  var2  var3    var4
+ 1           6         0.3         8
+ 3          4         0.4         9
+ 2          3         0.4         6
+ 1           0.4    0.9          3"), header = TRUE)
> df2 <- read.table(textConnection("
+ var1 var2 var3 var4
+ 1 16 0.6 7
+ 3 14 0.4 6
+ 2 13 0.4 5
+ 1 0.6 0.9 2"), header = TRUE)
closeAllConnections()
# generate the list
dl <- list(df1, df2)

# Name the list components by number and then call ldply():
names(dl) <- 1:2      # more generally, names(dl) <- 1:length(dl)
library("plyr")
ldply(dl, rbind)
  .id var1 var2 var3 var4
1   1    1  6.0  0.3    8
2   1    3  4.0  0.4    9
3   1    2  3.0  0.4    6
4   1    1  0.4  0.9    3
5   2    1 16.0  0.6    7
6   2    3 14.0  0.4    6
7   2    2 13.0  0.4    5
8   2    1  0.6  0.9    2

You can always change .id to fileno afterwards.

HTH,
Dennis

On Mon, Apr 4, 2011 at 7:41 AM, Umesh Rosyara <rosyara@msu.edu> wrote:

> Dear R community members
>
>
>
> I did find a good way to merge my 200 text data files in to a single data
> file with one column added will show indicator for that file.
>
>
>
> filelist = list.files(pattern = "K*cd.txt") # the file names are K1cd.txt
> .................to K200cd.txt
>
> data_list <-lapply(filelist, read.table, header=T, comment=";", fill=T)
>
>
>
> This will create list, but this is not what I want.
>
>
>
> I want a single dataframe (all separate dataframes have same variable
> headings) with additional row for example
>
>
>
> ; just for example, two small datasets are created by my component datasets
> are huge, need automation
>
> ;read from file K1cd.txt
>
> var1  var2  var3    var4
>
> 1           6         0.3         8
>
> 3          4         0.4         9
>
> 2          3         0.4         6
>
> 1           0.4    0.9          3
>
>
>
> ;read from file K2cd.txt
>
> var1  var2  var3    var4
>
> 1           16         0.6        7
>
> 3          14         0.4         6
>
> 2         1 3         0.4         5
>
> 1          0.6    0.9          2
>
>
>
> the output dataframe should look like
>
>
>
> Fileno  var1  var2  var3    var4
>
> 1              1           6         0.3        8
>
> 1              3          4         0.4         9
>
> 1              2          3         0.4         6
>
> 1              1           0.4      0.9        3
>
> 2              1           16       0.6        7
>
> 2              3          14         0.4        6
>
> 2              2         1 3         0.4        5
>
> 2              1          0.6         0.9       2
>
>
>
> Please note that new file no column is added
>
>
>
> Thank you for the help.
>
>
>
> Umesh R
>
>
>
>
>        [[alternative HTML version deleted]]
>
> ______________________________________________
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> 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.
>

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