Documentation Example 1 for PROC SPP
/****************************************************************/
/* S A S S A M P L E L I B R A R Y */
/* */
/* NAME: SPPEX1 */
/* TITLE: Documentation Example 1 for PROC SPP */
/* PRODUCT: STAT */
/* SYSTEM: ALL */
/* KEYS: spatial analysis, spatial point patterns */
/* PROCS: SPP */
/* DATA: */
/* */
/* SUPPORT: prmoha */
/* REF: PROC SPP, EXAMPLE 1 */
/* MISC: */
/****************************************************************/
data amacrine;
input X Y Type $ @@;
label Type='Cell Type';
datalines;
0.0224 0.0243 on
0.0243 0.1028 on
0.1626 0.1477 on
0.1215 0.0729 on
0.2411 0.0486 on
0.0766 0.1776 on
0.1047 0.2579 on
0.043 0.3645 on
0.1084 0.4 on
0.1981 0.2841 on
0.2505 0.2776 on
0.2215 0.1617 on
0.3421 0.1963 on
0.2953 0.0729 on
0.3953 0.0579 on
0.4121 0.1439 on
0.3449 0.2841 on
0.3121 0.3514 on
0.0701 0.5215 on
0.0972 0.657 on
0.0757 0.7355 on
0.0299 0.872 on
0.0393 0.9869 on
0.0757 0.8252 on
0.1972 0.8617 on
0.1561 0.9411 on
0.2159 0.7757 on
0.1935 0.6533 on
0.2084 0.5458 on
0.228 0.428 on
0.3383 0.4776 on
0.315 0.5832 on
0.3467 0.5636 on
0.3449 0.3832 on
0.4318 0.3262 on
0.4804 0.2542 on
0.5243 0.1925 on
0.5215 0.1159 on
0.5075 0.0234 on
0.5991 0.0252 on
0.6393 0.1196 on
0.6402 0.2579 on
0.6262 0.3523 on
0.5748 0.3897 on
0.4617 0.4271 on
0.4813 0.4897 on
0.472 0.6822 on
0.3636 0.7551 on
0.3505 0.6953 on
0.3 0.8112 on
0.2738 0.9084 on
0.2673 0.9813 on
0.3804 0.8785 on
0.4327 0.8402 on
0.5037 0.8813 on
0.5477 0.9308 on
0.5645 0.8028 on
0.5271 0.5907 on
0.6103 0.6757 on
0.6598 0.7813 on
0.6542 0.8318 on
0.6411 0.972 on
0.7084 0.9626 on
0.7421 0.8981 on
0.7869 0.7645 on
0.7467 0.6355 on
0.6748 0.6019 on
0.6477 0.5579 on
0.614 0.472 on
0.671 0.1841 on
0.7495 0.2523 on
0.7495 0.0963 on
0.7654 0.0299 on
0.9056 0.1514 on
0.9093 0.2206 on
0.9355 0.2019 on
0.9056 0.3093 on
0.986 0.3299 on
0.943 0.428 on
0.7486 0.4047 on
0.7832 0.4084 on
0.7935 0.3234 on
0.7869 0.4953 on
0.9056 0.515 on
0.8673 0.572 on
0.8636 0.6374 on
0.8065 0.7093 on
0.8636 0.7486 on
0.8533 0.8495 on
0.8561 0.9579 on
0.9346 0.9009 on
0.9991 0.9888 on
1.0645 0.9262 on
1.0262 0.7916 on
0.9822 0.6794 on
1.029 0.5271 on
1.0673 0.4729 on
1.0869 0.5598 on
1.0981 0.6953 on
1.1607 0.7383 on
1.1093 0.8252 on
1.1617 0.9224 on
1.2832 0.8514 on
1.3103 0.9766 on
1.4234 0.9112 on
1.4738 0.829 on
1.4869 0.9916 on
1.557 0.9374 on
1.5972 0.9449 on
1.5766 0.8327 on
1.586 0.7729 on
1.4804 0.7121 on
1.4234 0.7981 on
1.3355 0.757 on
1.2206 0.7626 on
1.1402 0.6495 on
1.2477 0.6523 on
1.3645 0.6523 on
1.3776 0.5598 on
1.5467 0.6037 on
1.5794 0.628 on
1.5907 0.4598 on
1.4907 0.4963 on
1.4393 0.4477 on
1.3187 0.4766 on
1.328 0.5505 on
1.2159 0.5299 on
1.185 0.4168 on
1.1766 0.3047 on
1.2561 0.3832 on
1.285 0.2589 on
1.3449 0.3421 on
1.3748 0.3607 on
1.357 0.2262 on
1.4944 0.3467 on
1.5439 0.2589 on
1.5421 0.1626 on
1.4037 0.1841 on
1.4766 0.1318 on
1.4421 0.0318 on
1.5196 0.0393 on
1.3271 0.0579 on
1.3075 0.157 on
1.1935 0.1617 on
1.1972 0.0822 on
1.1925 0.0084 on
1.2682 0.014 on
1.0318 0.0486 on
1.0785 0.2196 on
1.0458 0.2374 on
1.0467 0.2907 on
1.0495 0.3804 on
0.072 0.0215 off
0.0766 0.1692 off
0.0944 0.2692 off
0.1523 0.3308 off
0.2065 0.3505 off
0.2486 0.2206 off
0.2355 0.1327 off
0.2112 0.0617 off
0.1589 0.0916 off
0.328 0.0206 off
0.3449 0.0785 off
0.4009 0.1121 off
0.3748 0.214 off
0.3112 0.3065 off
0.0439 0.4589 off
0.1262 0.5664 off
0.1888 0.4514 off
0.3084 0.4131 off
0.2822 0.5252 off
0.214 0.5841 off
0.2822 0.5991 off
0.228 0.7103 off
0.1262 0.6626 off
0.0112 0.8168 off
0.0346 0.9645 off
0.1262 0.8561 off
0.1598 0.9654 off
0.1916 0.8121 off
0.2738 0.8682 off
0.3449 0.9047 off
0.4084 0.8944 off
0.3832 0.772 off
0.3355 0.7327 off
0.4065 0.6692 off
0.4168 0.6028 off
0.4645 0.6991 off
0.5112 0.7187 off
0.5346 0.7682 off
0.557 0.8093 off
0.4645 0.9486 off
0.5421 0.971 off
0.6336 0.8645 off
0.7075 0.9374 off
0.7645 0.971 off
0.8299 0.8486 off
0.7533 0.8271 off
0.7262 0.7383 off
0.6308 0.6869 off
0.5308 0.6093 off
0.5243 0.5617 off
0.4383 0.4785 off
0.5271 0.3832 off
0.4187 0.3505 off
0.5374 0.2589 off
0.5112 0.1748 off
0.4953 0.1019 off
0.5037 0.0785 off
0.5598 0.0841 off
0.6336 0.0318 off
0.6121 0.1355 off
0.6159 0.3093 off
0.6355 0.4206 off
0.6187 0.5065 off
0.6748 0.571 off
0.771 0.6028 off
0.8009 0.5243 off
0.7505 0.4486 off
0.7121 0.3336 off
0.7065 0.2374 off
0.7495 0.1523 off
0.7308 0.0215 off
0.8972 0.043 off
0.8514 0.1383 off
0.8215 0.2327 off
0.8168 0.3103 off
0.9075 0.2626 off
0.8598 0.3776 off
0.9009 0.4598 off
0.8981 0.5579 off
0.7935 0.6664 off
0.8925 0.715 off
0.9009 0.9514 off
0.9953 0.886 off
0.943 0.8121 off
0.9991 0.7636 off
0.9981 0.6822 off
0.9664 0.6084 off
1.0037 0.5542 off
0.9925 0.4336 off
0.972 0.3075 off
1.0421 0.1505 off
1.0047 0.0645 off
1.0701 0.2308 off
1.1009 0.2551 off
1.0523 0.3271 off
1.1318 0.3701 off
1.0953 0.4636 off
1.1299 0.5794 off
1.1215 0.7579 off
1.1224 0.8486 off
1.0617 0.9542 off
1.2178 0.1168 off
1.2234 0.0037 off
1.3738 0.0318 off
1.329 0.1224 off
1.4495 0.0757 off
1.5439 0.0542 off
1.5841 0.1449 off
1.4262 0.1916 off
1.3252 0.2243 off
1.3944 0.2804 off
1.5028 0.2439 off
1.5178 0.3308 off
1.443 0.3841 off
1.4009 0.3486 off
1.2598 0.3037 off
1.2271 0.2252 off
1.2505 0.3364 off
1.1944 0.4421 off
1.3327 0.415 off
1.4579 0.4757 off
1.5785 0.529 off
1.5935 0.6252 off
1.4318 0.5533 off
1.3822 0.6252 off
1.3178 0.572 off
1.285 0.6514 off
1.2682 0.6925 off
1.2019 0.6589 off
1.1925 0.5822 off
1.2701 0.7505 off
1.2159 0.8654 off
1.2346 0.9374 off
1.3673 0.9411 off
1.3271 0.8374 off
1.4271 0.8748 off
1.4935 0.8346 off
1.5234 0.9953 off
1.5766 0.8187 off
1.5729 0.729 off
1.457 0.6822 off
1.4168 0.7374 off
;
proc spp data=amacrine edgecorr=on seed=1
plots(equate)= (observations(attr=mark) K);
process cells= (X,Y / area=(0,0,1.6,1) mark=Type)
/ K cross=types('on' 'off');
run;
