[R] split data with missing data condition

[jim holtman]

Try this:

> a <- read.table(textConnection("             x          y
+  59.74889  3.1317081
+  38.77629  1.7102589
+        NA  2.2312962
+  32.35268  1.3889621
+  74.01394  1.5361227
+  34.82584  1.1665412
+  42.72262  2.7870875
+  70.54999  3.3917257
+  59.37573  2.6763249
+   68.87422  1.9697770
+   19.00898  2.0584415
+   60.27915  2.5365194
+   50.76850  2.3943836
+         NA  2.2862790
+   39.01229  1.7924957"), header=TRUE)
> a <- as.matrix(a)
> # good data
> a.good <- a[complete.cases(a),, drop=FALSE]
> a.bad <- a[!complete.cases(a),, drop=FALSE]
> a.good
             x        y
 [1,] 59.74889 3.131708
 [2,] 38.77629 1.710259
 [3,] 32.35268 1.388962
 [4,] 74.01394 1.536123
 [5,] 34.82584 1.166541
 [6,] 42.72262 2.787088
 [7,] 70.54999 3.391726
 [8,] 59.37573 2.676325
 [9,] 68.87422 1.969777
[10,] 19.00898 2.058441
[11,] 60.27915 2.536519
[12,] 50.76850 2.394384
[13,] 39.01229 1.792496
> a.bad
      x        y
[1,] NA 2.231296
[2,] NA 2.286279
>


On Fri, Oct 15, 2010 at 8:45 AM, Jumlong Vongprasert
<jumlong.ubru at gmail.com> wrote:
> Dear all
> I have data like this:
>              x          y
>  [1,] 59.74889  3.1317081
>  [2,] 38.77629  1.7102589
>  [3,]       NA  2.2312962
>  [4,] 32.35268  1.3889621
>  [5,] 74.01394  1.5361227
>  [6,] 34.82584  1.1665412
>  [7,] 42.72262  2.7870875
>  [8,] 70.54999  3.3917257
>  [9,] 59.37573  2.6763249
>  [10,] 68.87422  1.9697770
>  [11,] 19.00898  2.0584415
>  [12,] 60.27915  2.5365194
>  [13,] 50.76850  2.3943836
>  [14,]       NA  2.2862790
>  [15,] 39.01229  1.7924957
>
> and I want to spit data into two set of data,  data set of nonmising and
> data set of missing.
> How I can do this.
> Many Thanks.
> Jumlong
>
>
> --
> Jumlong Vongprasert
> Institute of Research and Development
> Ubon Ratchathani Rajabhat University
> Ubon Ratchathani
> THAILAND
> 34000
>
>        [[alternative HTML version deleted]]
>
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>



-- 
Jim Holtman
Cincinnati, OH
+1 513 646 9390

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