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,
>
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