Hi,

Perhaps subset with a unique condition.

Hoep it helps,
António

2012/7/16 Idowu, Oluseun S. (UMKC-Student) <oluseun.idowu@mail.umkc.edu>

> Hello:
> I have a .txt file i'm reading in R with 3670016 nrows made up of (256
> lat, 512 lon and 28 forecast time) and ncol=31(no of days in the month). I
> read the lat/lon data and got that my area of interest is at point row=93
> to row 128 for lat and row 30 to 1 & 257 to 286 for lon. My issue is how
> do I correctly select my data subset from the 36700016 rows. I see that
> most of the data a repeated to make up the nrows but what command can I
> use to make a right selection. Thanks in advance for your help.
>
> See data below
> head(dataTEMP)
>         V1       V2       V3       V4       V5       V6       V7       V8
> 1 273.8134 273.8701 274.3947 274.0019 273.9000 273.6819 274.3362 273.6229
> 2 273.8134 273.8721 274.3947 273.9980 273.8961 273.6838 274.3362 273.6248
> 3 273.8134 273.8760 274.3947 273.9921 273.8942 273.6858 274.3343 273.6248
> 4 273.8114 273.8779 274.3947 273.9882 273.8903 273.6877 274.3323 273.6268
> 5 273.8114 273.8818 274.3947 273.9824 273.8864 273.6897 274.3323 273.6287
> 6 273.8114 273.8838 274.3947 273.9785 273.8824 273.6917 274.3304 273.6307
>         V9      V10      V11      V12      V13      V14      V15      V16
> 1 274.2525 274.0379 274.6470 274.4238 273.5143 274.1406 274.3043 274.9282
> 2 274.2525 274.0379 274.6470 274.4218 273.5163 274.1426 274.3043 274.9301
> 3 274.2525 274.0379 274.6450 274.4218 273.5182 274.1426 274.3024 274.9321
> 4 274.2525 274.0379 274.6450 274.4218 273.5221 274.1426 274.3024 274.9321
> 5 274.2525 274.0379 274.6431 274.4199 273.5241 274.1445 274.3004 274.9340
> 6 274.2505 274.0379 274.6431 274.4199 273.5260 274.1445 274.3004 274.9360
>        V17      V18      V19      V20      V21      V22      V23      V24
> 1 275.0095 274.4799 275.1027 274.9044 274.8814 275.0872 274.9467 275.0533
> 2 275.0095 274.4799 275.1046 274.9064 274.8794 275.0852 274.9467 275.0553
> 3 275.0095 274.4799 275.1046 274.9064 274.8775 275.0833 274.9486 275.0553
> 4 275.0076 274.4819 275.1046 274.9083 274.8755 275.0813 274.9506 275.0573
> 5 275.0076 274.4819 275.1066 274.9103 274.8736 275.0793 274.9506 275.0592
> 6 275.0076 274.4838 275.1066 274.9103 274.8697 275.0754 274.9525 275.0612
>        V25      V26      V27      V28      V29      V30      V31
> 1 274.9663 274.6910 274.6379 274.8774 274.7449 274.7726 274.4701
> 2 274.9702 274.6929 274.6399 274.8754 274.7585 274.7726 274.4701
> 3 274.9742 274.6929 274.6418 274.8754 274.7703 274.7745 274.4681
> 4 274.9781 274.6949 274.6438 274.8735 274.7839 274.7745 274.4662
> 5 274.9800 274.6968 274.6458 274.8735 274.7957 274.7745 274.4662
> 6 274.9839 274.6988 274.6477 274.8715 274.8093 274.7765 274.4642
>
> tail(dataTEMP)
>               V1       V2       V3      V4       V5       V6       V7
>  V8
> 3670011 218.8708 219.7255 219.2522 218.198 221.2890 213.5748 217.6296
> 226.0363
> 3670012 218.8786 219.7274 219.2463 218.198 221.2831 213.5807 217.6198
> 226.0090
> 3670013 218.8864 219.7294 219.2424 218.198 221.2773 213.5865 217.6100
> 225.9816
> 3670014 218.8942 219.7333 219.2385 218.198 221.2714 213.5924 217.5983
> 225.9543
> 3670015 218.9020 219.7352 219.2346 218.196 221.2636 213.5982 217.5885
> 225.9270
> 3670016 218.9118 219.7391 219.2287 218.196 221.2577 213.6060 217.5768
> 225.8996
>               V9      V10      V11      V12      V13      V14      V15
>  V16
> 3670011 225.0423 216.0866 211.2848 214.1108 214.3512 221.4184 236.3481
> 217.9475
> 3670012 225.0306 216.0866 211.2750 214.1010 214.3532 221.4263 236.3364
> 217.9514
> 3670013 225.0189 216.0866 211.2653 214.0932 214.3551 221.4360 236.3266
> 217.9553
> 3670014 225.0071 216.0866 211.2555 214.0834 214.3571 221.4458 236.3169
> 217.9592
> 3670015 224.9954 216.0866 211.2457 214.0756 214.3591 221.4556 236.3051
> 217.9631
> 3670016 224.9837 216.0885 211.2360 214.0658 214.3610 221.4634 236.2954
> 217.9670
>              V17      V18      V19      V20      V21      V22      V23
>  V24
> 3670011 222.9712 223.2803 223.1307 218.4524 229.5565 221.0723 226.7856
> 227.7539
> 3670012 222.9673 223.2940 223.1365 218.4544 229.5682 221.0801 226.7934
> 227.7481
> 3670013 222.9634 223.3057 223.1443 218.4563 229.5818 221.0879 226.8012
> 227.7422
> 3670014 222.9615 223.3194 223.1502 218.4583 229.5936 221.0957 226.8071
> 227.7363
> 3670015 222.9576 223.3311 223.1561 218.4622 229.6053 221.1055 226.8149
> 227.7305
> 3670016 222.9536 223.3428 223.1619 218.4641 229.6190 221.1133 226.8227
> 227.7227
>              V25      V26      V27      V28      V29      V30      V31
> 3670011 227.5125 230.8432 221.8371 211.2838 216.2357 223.5838 221.5377
> 3670012 227.5105 230.8491 221.8429 211.2760 216.2376 223.5858 221.5416
> 3670013 227.5105 230.8549 221.8488 211.2682 216.2396 223.5877 221.5435
> 3670014 227.5086 230.8608 221.8547 211.2604 216.2435 223.5897 221.5474
> 3670015 227.5066 230.8667 221.8625 211.2526 216.2454 223.5916 221.5513
> 3670016 227.5047 230.8725 221.8683 211.2448 216.2493 223.5936 221.5552
>
>
>
> Sam
>
>
>
>
> On 7/15/12 7:12 PM, "seth@swbigelow.net" <seth@swbigelow.net> wrote:
>
> >
> >
> >       r-sig-geo listers:
> >
> >       Can anyone provide code or suggest commands for converting a data
> >frame with UTMS to a SpatialPolygons (sp package) object? Below, I
> >provide code to generate a sample dataframe, with three ordered
> >sequences of twelve coordinate pairs each.
> >
> >       id
> >
> >       [[alternative HTML version deleted]]
> >
> >_______________________________________________
> >R-sig-Geo mailing list
> >R-sig-Geo@r-project.org
> >https://stat.ethz.ch/mailman/listinfo/r-sig-geo
> >
>
> _______________________________________________
> R-sig-Geo mailing list
> R-sig-Geo@r-project.org
> https://stat.ethz.ch/mailman/listinfo/r-sig-geo
>

	[[alternative HTML version deleted]]

