[R] how to import this kind of data?

[Phil Spector]

Soyeon -
    I think scan() (combined with matrix and data.frame) is the 
easiest way.
    Suppose your text file is called "data.txt".  Then

data.frame(matrix(scan('data.txt'),byrow=TRUE,ncol=14))

should give you what you want.
 					- Phil Spector
 					 Statistical Computing Facility
 					 Department of Statistics
 					 UC Berkeley
 					 spector at stat.berkeley.edu


On Fri, 17 Sep 2010, Soyeon Kim wrote:

> Dear All,
>
> I am in a trouble with reading data.
>
> It is in txt file looking like this.
>
> 0.00632  18.00   2.310  0  0.5380  6.5750  65.20  4.0900   1  296.0  15.30
>  396.90   4.98  24.00
> 0.02731   0.00   7.070  0  0.4690  6.4210  78.90  4.9671   2  242.0  17.80
>  396.90   9.14  21.60
> 0.02729   0.00   7.070  0  0.4690  7.1850  61.10  4.9671   2  242.0  17.80
>  392.83   4.03  34.70
> 0.03237   0.00   2.180  0  0.4580  6.9980  45.80  6.0622   3  222.0  18.70
>  394.63   2.94  33.40
> 0.06905   0.00   2.180  0  0.4580  7.1470  54.20  6.0622   3  222.0  18.70
>  396.90   5.33  36.20
> 0.02985   0.00   2.180  0  0.4580  6.4300  58.70  6.0622   3  222.0  18.70
>  394.12   5.21  28.70
> 0.08829  12.50   7.870  0  0.5240  6.0120  66.60  5.5605   5  311.0  15.20
>  395.60  12.43  22.90
> 0.14455  12.50   7.870  0  0.5240  6.1720  96.10  5.9505   5  311.0  15.20
>  396.90  19.15  27.10
>
> There are 14 variables. Therefore, the first of row should be at the
> end of the second row.
> So after importing the data, this should look like
>  v1           v2        v3       v4 v5        v6         v7       v8
>        v9 v10      v11   v12        v13    v14
>  0.00632  18.00   2.310  0  0.5380  6.5750  65.20  4.0900   1  296.0
> 15.30 396.90   4.98  24.00
> and so on.
>
> How can import this kind of data into R?
>
> Thank you,
>
> ______________________________________________
> R-help at 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.
>