S.STSI: Stratified sampling applying SI design in all strata
In TeachingSampling: Selection of Samples and Parameter Estimation in Finite Population
Description
Usage
Arguments
Details
Value
Author(s)
References
See Also
Examples
Description
Draws a simple random sample without replacement of size n_h in stratum h of size N_h
Usage
1
S.STSI(S, Nh, nh)
Arguments
S
Vector identifying the membership to the strata of each unit in the population
Nh
Vector of stratum sizes
nh
Vector of sample size in each stratum
Details
The selected sample is drawn according to a selection-rejection (list-sequential) algorithm in each stratum
Value
The function returns a vector of size n=n_1+\cdots+n_H. Each element of this vector indicates the unit that was selected.
Author(s)
Hugo Andres Gutierrez Rojas hagutierrezro@gmail.com
References
Sarndal, C-E. and Swensson, B. and Wretman, J. (1992), Model Assisted Survey Sampling. Springer.
Gutierrez, H. A. (2009), Estrategias de muestreo: Diseno de encuestas y estimacion de parametros.
Editorial Universidad Santo Tomas.
See Also
Examples
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############
## Example 1
############
# Vector U contains the label of a population of size N=5
U <- c("Yves", "Ken", "Erik", "Sharon", "Leslie")
# Vector Strata contains an indicator variable of stratum membership
Strata <- c("A", "A", "A", "B", "B")
Strata
# The stratum sizes
Nh <- c(3,2)
# Then sample size in each stratum
nh <- c(2,1)
# Draws a stratified simple random sample without replacement of size n=3
sam <- S.STSI(Strata, Nh, nh)
sam
# The selected sample is
U[sam]
############
## Example 2
############
# Uses the Lucy data to draw a stratified random sample
# accordind to a SI design in each stratum
data(Lucy)
attach(Lucy)
# Level is the stratifying variable
summary(Level)
# Defines the size of each stratum
N1<-summary(Level)[[1]]
N2<-summary(Level)[[2]]
N3<-summary(Level)[[3]]
N1;N2;N3
Nh <- c(N1,N2,N3)
# Defines the sample size at each stratum
n1<-70
n2<-100
n3<-200
nh<-c(n1,n2,n3)
# Draws a stratified sample
sam <- S.STSI(Level, Nh, nh)
# The information about the units in the sample is stored in an object called data
data <- Lucy[sam,]
data
dim(data)
Example output
[1] "A" "A" "A" "B" "B"
[,1]
[1,] 2
[2,] 3
[3,] 5
[1] "Ken" "Erik" "Leslie"
Big Medium Small
83 737 1576
[1] 83
[1] 737
[1] 1576
ID Ubication Level Zone Income Employees Taxes SPAM
2319 AB1029 c25k42 Big A 1110 97 58.0 yes
2333 AB1123 c25k56 Big A 1020 133 50.0 yes
2356 AB1317 c25k79 Big B 1030 122 51.0 no
2331 AB1116 c25k54 Big A 1090 137 55.0 yes
2336 AB1126 c25k59 Big A 1614 159 138.0 yes
2385 AB912 c26k9 Big E 1088 133 55.0 no
2380 AB893 c26k4 Big E 1551 168 107.0 no
2361 AB725 c25k84 Big D 1005 83 49.0 yes
2364 AB742 c25k87 Big D 1030 149 50.0 yes
2360 AB670 c25k83 Big D 1600 189 112.0 yes
2328 AB1094 c25k51 Big A 1153 144 62.0 yes
2372 AB767 c25k95 Big D 1300 176 68.0 yes
2394 AB986 c26k18 Big E 1297 161 67.0 no
2359 AB637 c25k82 Big D 1405 111 83.0 yes
2377 AB878 c26k1 Big E 1008 76 50.0 no
2379 AB892 c26k3 Big E 1084 92 54.0 yes
2345 AB1206 c25k68 Big B 1003 115 49.0 yes
2357 AB590 c25k80 Big C 1360 134 76.0 yes
2315 AB098 c25k38 Big A 1155 117 62.0 yes
2344 AB1199 c25k67 Big B 1150 88 62.0 yes
2382 AB905 c26k6 Big E 1405 110 83.0 no
2371 AB766 c25k94 Big D 1110 93 58.0 yes
2378 AB891 c26k2 Big E 1040 118 52.0 no
2350 AB1220 c25k73 Big B 1480 193 104.0 no
2318 AB1028 c25k41 Big A 1193 122 63.0 yes
2323 AB1041 c25k46 Big A 1100 109 58.0 yes
2324 AB1042 c25k47 Big A 1100 161 57.0 yes
2367 AB746 c25k90 Big D 1090 105 55.0 yes
2339 AB1148 c25k62 Big A 1230 140 64.0 yes
2327 AB1093 c25k50 Big A 1063 146 54.0 yes
2342 AB118 c25k65 Big A 1118 109 59.0 no
2355 AB1308 c25k78 Big B 1170 158 63.0 no
2373 AB799 c25k96 Big D 1094 131 56.0 no
2390 AB957 c26k14 Big E 1220 163 63.0 no
2325 AB1072 c25k48 Big A 1434 157 83.0 yes
2314 AB097 c25k37 Big A 1131 112 61.0 no
2374 AB862 c25k97 Big E 1010 132 50.0 yes
2330 AB1108 c25k53 Big A 1094 83 57.0 yes
2358 AB636 c25k81 Big D 1024 149 50.0 yes
2346 AB1209 c25k69 Big B 1060 90 53.0 no
2375 AB863 c25k98 Big E 1565 162 109.0 no
2343 AB1187 c25k66 Big A 1459 176 99.0 no
2365 AB744 c25k88 Big D 1370 182 77.0 no
2341 AB1172 c25k64 Big A 1440 133 84.0 yes
2388 AB953 c26k12 Big E 1085 116 54.0 no
2326 AB1084 c25k49 Big A 1396 172 82.0 no
2338 AB1132 c25k61 Big A 2510 258 305.0 yes
2351 AB1231 c25k74 Big B 1160 121 62.0 no
2393 AB985 c26k17 Big E 1077 91 54.0 no
2370 AB749 c25k93 Big D 1911 263 196.0 yes
2354 AB1283 c25k77 Big B 1510 163 107.0 yes
2376 AB864 c25k99 Big E 1360 126 73.0 yes
2322 AB1040 c25k45 Big A 1130 82 61.0 yes
2383 AB906 c26k7 Big E 1250 100 64.0 yes
2384 AB908 c26k8 Big E 1305 150 70.0 yes
2353 AB1251 c25k76 Big B 1003 147 49.0 yes
2348 AB1212 c25k71 Big B 1616 158 142.0 yes
2335 AB1125 c25k58 Big A 1450 133 94.0 yes
2320 AB1038 c25k43 Big A 1044 90 52.0 yes
2337 AB1130 c25k60 Big A 1080 140 54.0 yes
2352 AB1232 c25k75 Big B 1490 201 105.0 yes
2386 AB916 c26k10 Big E 1161 157 62.0 no
2381 AB904 c26k5 Big E 1035 86 51.0 yes
2321 AB1039 c25k44 Big A 1016 96 50.0 no
2362 AB727 c25k85 Big D 1450 162 94.0 yes
2317 AB1026 c25k40 Big A 1044 78 52.0 yes
2316 AB1008 c25k39 Big A 1390 171 77.0 yes
2349 AB1217 c25k72 Big B 1101 117 58.0 yes
2368 AB747 c25k91 Big D 1280 145 65.0 yes
2396 AB988 c26k20 Big E 1860 253 176.0 yes
2249 AB923 c24k71 Medium E 611 94 18.0 yes
1984 AB606 c22k4 Medium C 500 39 12.0 yes
1891 AB2019 c20k10 Medium C 530 89 13.0 yes
2252 AB926 c24k74 Medium E 640 100 20.0 yes
1754 AB1185 c18k71 Medium A 610 82 18.0 no
2038 AB671 c22k58 Medium D 511 68 12.0 yes
2070 AB706 c22k90 Medium D 540 90 13.0 yes
2074 AB710 c22k94 Medium D 630 75 20.0 yes
2168 AB825 c23k89 Medium D 782 126 31.0 yes
1634 AB1052 c17k50 Medium A 730 117 27.0 no
1828 AB1277 c19k46 Medium B 821 71 34.0 yes
2127 AB780 c23k48 Medium D 590 39 17.0 yes
2046 AB681 c22k66 Medium D 520 93 12.0 no
2251 AB925 c24k73 Medium E 610 41 18.0 no
2011 AB635 c22k31 Medium D 828 95 34.0 yes
2090 AB728 c23k11 Medium D 550 95 14.0 yes
1996 AB619 c22k16 Medium D 510 60 12.0 yes
2092 AB732 c23k13 Medium D 570 73 15.0 no
2021 AB651 c22k41 Medium D 580 46 16.0 no
2110 AB760 c23k31 Medium D 810 130 33.0 no
2211 AB874 c24k33 Medium E 700 122 24.0 no
1837 AB1287 c19k55 Medium B 695 53 24.0 yes
2063 AB698 c22k83 Medium D 560 76 15.0 yes
2020 AB650 c22k40 Medium D 650 101 21.0 no
1690 AB1110 c18k7 Medium A 513 96 12.0 yes
1809 AB1258 c19k27 Medium B 545 42 14.0 no
1610 AB1022 c17k26 Medium A 691 57 24.0 yes
2016 AB645 c22k36 Medium D 575 77 15.0 yes
2134 AB787 c23k55 Medium D 690 65 23.0 no
2276 AB951 c24k98 Medium E 924 66 42.0 no
1583 AB091 c16k98 Medium A 550 75 14.0 no
1709 AB1138 c18k26 Medium A 637 104 20.0 no
2008 AB632 c22k28 Medium D 710 103 25.0 no
2125 AB778 c23k46 Medium D 610 113 18.0 yes
1627 AB1046 c17k43 Medium A 884 92 38.0 yes
2289 AB969 c25k12 Medium E 892 112 40.0 yes
1888 AB2013 c20k7 Medium C 570 85 15.0 no
2202 AB865 c24k24 Medium E 565 44 15.0 no
2236 AB907 c24k58 Medium E 990 113 48.0 no
1707 AB1136 c18k24 Medium A 700 51 25.0 yes
1774 AB1208 c18k91 Medium B 678 68 23.0 no
2269 AB944 c24k91 Medium E 670 95 23.0 yes
2220 AB885 c24k42 Medium E 580 50 16.0 yes
2113 AB763 c23k34 Medium D 811 94 33.0 yes
1871 AB1325 c19k89 Medium B 595 87 17.0 no
2295 AB975 c25k18 Medium E 790 107 31.0 yes
1783 AB1223 c19k1 Medium B 637 108 20.0 no
1831 AB1280 c19k49 Medium B 963 106 45.0 yes
1998 AB621 c22k18 Medium D 590 55 16.0 yes
1763 AB1196 c18k80 Medium B 623 95 19.0 no
1903 AB2079 c20k22 Medium C 520 80 12.0 no
2137 AB790 c23k58 Medium D 810 57 32.0 no
1597 AB1010 c17k13 Medium A 600 96 18.0 yes
1778 AB1215 c18k95 Medium B 580 41 16.0 no
1630 AB1049 c17k46 Medium A 672 39 23.0 yes
2156 AB813 c23k77 Medium D 586 87 16.0 yes
2076 AB712 c22k96 Medium D 620 99 19.0 no
1635 AB1053 c17k51 Medium A 535 26 13.0 yes
2028 AB658 c22k48 Medium D 720 52 26.0 no
2205 AB868 c24k27 Medium E 576 29 15.0 yes
2014 AB643 c22k34 Medium D 540 106 13.0 no
2281 AB960 c25k4 Medium E 591 51 17.0 yes
1604 AB1017 c17k20 Medium A 553 92 14.0 yes
2282 AB961 c25k5 Medium E 590 79 16.0 yes
2141 AB794 c23k62 Medium D 640 121 21.0 no
1856 AB1309 c19k74 Medium B 576 97 15.0 yes
2077 AB713 c22k97 Medium D 590 55 16.0 yes
1950 AB2382 c20k69 Medium C 553 96 14.0 yes
2126 AB779 c23k47 Medium D 580 50 16.0 yes
1823 AB1272 c19k41 Medium B 714 52 26.0 yes
2087 AB723 c23k8 Medium D 900 97 40.0 yes
1848 AB1299 c19k66 Medium B 654 114 22.0 yes
2162 AB819 c23k83 Medium D 620 70 19.0 yes
1750 AB1181 c18k67 Medium A 810 120 32.0 no
1729 AB1159 c18k46 Medium A 766 65 29.0 no
2243 AB917 c24k65 Medium E 560 52 15.0 no
1700 AB1122 c18k17 Medium A 820 82 34.0 yes
1764 AB1197 c18k81 Medium B 730 81 27.0 no
1920 AB2179 c20k39 Medium C 579 49 16.0 yes
1951 AB2395 c20k70 Medium C 578 77 16.0 yes
1648 AB1066 c17k64 Medium A 850 102 36.0 yes
1897 AB2048 c20k16 Medium C 530 41 13.0 yes
2059 AB694 c22k79 Medium D 600 88 17.0 yes
1631 AB105 c17k47 Medium A 589 103 16.0 yes
1965 AB583 c20k84 Medium C 665 58 22.0 no
2004 AB628 c22k24 Medium D 650 93 21.0 yes
1924 AB2192 c20k43 Medium C 530 41 13.0 no
2082 AB718 c23k3 Medium D 650 89 21.0 yes
2306 AB992 c25k29 Medium E 610 93 18.0 yes
2199 AB859 c24k21 Medium E 810 105 33.0 yes
1677 AB1097 c17k93 Medium A 599 36 17.0 yes
2067 AB702 c22k87 Medium D 520 85 12.0 no
1964 AB582 c20k83 Medium C 570 53 15.0 yes
2158 AB815 c23k79 Medium D 582 98 16.0 yes
1612 AB1024 c17k28 Medium A 925 107 42.0 no
1661 AB1079 c17k77 Medium A 557 32 14.0 yes
2272 AB947 c24k94 Medium E 700 118 24.0 no
2034 AB665 c22k54 Medium D 690 108 23.0 yes
1579 AB058 c16k94 Medium A 556 92 14.0 yes
1725 AB1155 c18k42 Medium A 610 57 18.0 no
1371 AB392 c14k84 Small C 124 62 0.5 yes
730 AB1885 c8k37 Small C 380 18 6.0 yes
472 AB1650 c5k76 Small B 236 59 2.0 yes
927 AB2090 c10k36 Small C 480 45 10.0 yes
834 AB1986 c9k42 Small C 470 44 10.0 yes
130 AB134 c2k31 Small B 202 37 1.0 yes
643 AB1806 c7k49 Small B 190 73 1.0 yes
163 AB137 c2k64 Small B 109 50 0.5 yes
39 AB039 c1k39 Small A 360 41 5.0 yes
1497 AB518 c16k12 Small C 223 82 2.0 yes
1307 AB328 c14k20 Small C 151 27 1.0 yes
746 AB190 c8k53 Small C 141 59 0.5 no
52 AB054 c1k52 Small A 380 90 6.0 yes
337 AB1528 c4k40 Small B 235 51 2.0 no
1 AB001 c1k1 Small A 281 41 3.0 no
847 AB1999 c9k55 Small C 430 97 8.0 no
1422 AB443 c15k36 Small C 249 67 2.0 no
1020 AB219 c11k30 Small C 139 3 0.5 no
334 AB1525 c4k37 Small B 300 26 4.0 yes
619 AB1784 c7k25 Small B 182 76 1.0 yes
776 AB193 c8k83 Small C 83 45 0.5 yes
1502 AB523 c16k17 Small C 299 89 3.0 no
356 AB1545 c4k59 Small B 235 71 2.0 no
69 AB072 c1k69 Small A 390 95 7.0 yes
1562 AB703 c16k77 Small D 470 68 10.0 yes
24 AB024 c1k24 Small A 411 56 7.0 yes
1464 AB485 c15k78 Small C 237 23 2.0 yes
374 AB1561 c4k77 Small B 317 67 4.0 yes
1514 AB535 c16k29 Small C 286 41 3.0 yes
1222 AB243 c13k34 Small C 93 65 0.5 no
316 AB1509 c4k19 Small B 227 6 2.0 yes
119 AB131 c2k20 Small B 84 81 0.5 yes
320 AB1512 c4k23 Small B 239 19 2.0 yes
779 AB1932 c8k86 Small C 420 92 7.0 yes
1511 AB532 c16k26 Small C 245 39 2.0 no
385 AB1571 c4k88 Small B 290 45 3.0 yes
630 AB1794 c7k36 Small B 130 58 0.5 yes
954 AB2120 c10k63 Small C 350 20 5.0 yes
1472 AB493 c15k86 Small C 290 41 3.0 no
287 AB1482 c3k89 Small B 250 51 2.0 no
1047 AB2219 c11k57 Small C 350 25 5.0 yes
788 AB1943 c8k95 Small C 340 56 5.0 yes
70 AB074 c1k70 Small A 330 67 4.0 no
425 AB1608 c5k29 Small B 303 94 4.0 yes
614 AB178 c7k20 Small B 79 73 0.5 yes
901 AB2062 c10k10 Small C 333 76 5.0 no
917 AB2078 c10k26 Small C 460 63 9.0 no
860 AB2011 c9k68 Small C 400 79 7.0 yes
1468 AB489 c15k82 Small C 201 57 1.0 no
268 AB1465 c3k70 Small B 258 84 2.0 no
1170 AB2347 c12k81 Small C 473 25 10.0 no
967 AB2134 c10k76 Small C 360 29 5.0 yes
1457 AB478 c15k71 Small C 243 67 2.0 yes
742 AB1896 c8k49 Small C 319 67 4.0 yes
68 AB071 c1k68 Small A 360 29 5.0 yes
1455 AB476 c15k69 Small C 323 63 4.0 no
115 AB129 c2k16 Small B 10 65 0.5 no
367 AB1555 c4k70 Small B 268 80 3.0 no
1538 AB559 c16k53 Small C 208 78 1.0 yes
382 AB1569 c4k85 Small B 345 68 5.0 yes
445 AB1626 c5k49 Small B 331 16 4.0 no
994 AB2161 c11k4 Small C 390 27 7.0 no
64 AB067 c1k64 Small A 475 57 10.0 no
1449 AB470 c15k63 Small C 265 52 3.0 no
292 AB1487 c3k94 Small B 280 21 3.0 yes
497 AB1673 c6k2 Small B 242 55 2.0 no
1287 AB308 c13k99 Small C 120 46 0.5 yes
1078 AB2250 c11k88 Small C 435 73 8.0 no
1533 AB554 c16k48 Small C 236 35 2.0 no
1316 AB337 c14k29 Small C 131 74 0.5 no
1459 AB480 c15k73 Small C 320 71 4.0 yes
1234 AB255 c13k46 Small C 82 21 0.5 no
457 AB1637 c5k61 Small B 230 47 2.0 yes
263 AB1460 c3k65 Small B 300 78 3.0 yes
1367 AB388 c14k80 Small C 96 29 0.5 yes
23 AB023 c1k23 Small A 450 94 9.0 no
792 AB1947 c8k99 Small C 385 54 6.0 no
1440 AB461 c15k54 Small C 292 13 3.0 yes
786 AB194 c8k93 Small C 153 27 1.0 no
76 AB081 c1k76 Small A 313 82 4.0 no
1352 AB373 c14k65 Small C 99 21 0.5 yes
1445 AB466 c15k59 Small C 221 54 2.0 yes
858 AB201 c9k66 Small C 150 7 1.0 yes
122 AB1332 c2k23 Small B 270 56 3.0 no
1012 AB2181 c11k22 Small C 347 60 5.0 yes
491 AB1668 c5k95 Small B 336 80 5.0 yes
1037 AB2209 c11k47 Small C 395 43 7.0 no
885 AB2041 c9k93 Small C 350 81 5.0 yes
301 AB1495 c4k4 Small B 240 31 2.0 yes
273 AB147 c3k75 Small B 144 63 0.5 yes
867 AB2023 c9k75 Small C 469 20 10.0 no
51 AB053 c1k51 Small A 400 15 7.0 yes
997 AB2164 c11k7 Small C 489 53 10.5 no
1520 AB541 c16k35 Small C 227 34 2.0 yes
1201 AB2377 c13k13 Small C 365 81 6.0 yes
1169 AB2346 c12k80 Small C 314 70 4.0 no
180 AB1385 c2k81 Small B 340 60 5.0 yes
1563 AB729 c16k78 Small D 495 90 10.5 no
1153 AB2329 c12k64 Small C 427 85 8.0 no
1031 AB2202 c11k41 Small C 378 70 6.0 yes
228 AB1429 c3k30 Small B 370 58 6.0 no
1389 AB410 c15k3 Small C 165 76 1.0 yes
738 AB1892 c8k45 Small C 490 30 10.5 yes
1487 AB508 c16k2 Small C 383 26 6.0 no
418 AB1601 c5k22 Small B 307 74 4.0 no
950 AB2117 c10k59 Small C 409 36 7.0 no
171 AB1377 c2k72 Small B 280 65 3.0 yes
35 AB035 c1k35 Small A 381 94 6.0 no
133 AB1342 c2k34 Small B 290 93 3.0 yes
185 AB139 c2k86 Small B 76 9 0.5 yes
1072 AB2245 c11k82 Small C 460 24 9.0 no
1147 AB2322 c12k58 Small C 416 80 7.0 no
1491 AB512 c16k6 Small C 250 75 2.0 yes
1180 AB2357 c12k91 Small C 347 12 5.0 yes
523 AB1697 c6k28 Small B 159 12 1.0 yes
143 AB1351 c2k44 Small B 245 39 2.0 no
99 AB1194 c1k99 Small B 480 49 10.0 no
1196 AB2371 c13k8 Small C 400 55 7.0 yes
846 AB1998 c9k54 Small C 380 18 6.0 no
868 AB2024 c9k76 Small C 390 23 6.0 yes
109 AB1241 c2k10 Small B 428 61 8.0 no
667 AB1828 c7k73 Small B 94 41 0.5 no
825 AB1978 c9k33 Small C 471 101 10.0 no
1490 AB511 c16k5 Small C 236 79 2.0 yes
1448 AB469 c15k62 Small C 222 90 2.0 yes
1193 AB2369 c13k5 Small C 460 51 9.0 yes
1306 AB327 c14k19 Small C 200 9 1.0 no
178 AB1383 c2k79 Small B 319 63 4.0 yes
420 AB1603 c5k24 Small B 226 30 2.0 yes
146 AB1354 c2k47 Small B 310 42 4.0 no
1523 AB544 c16k38 Small C 341 16 5.0 yes
946 AB2111 c10k55 Small C 480 77 10.0 no
944 AB211 c10k53 Small C 168 84 1.0 yes
318 AB1510 c4k21 Small B 260 12 2.0 yes
578 AB1747 c6k83 Small B 150 35 1.0 yes
1041 AB2212 c11k51 Small C 425 93 8.0 yes
1101 AB2277 c12k12 Small C 370 33 6.0 yes
796 AB1950 c9k4 Small C 460 55 9.0 yes
590 AB1758 c6k95 Small B 152 43 1.0 no
1365 AB386 c14k78 Small C 48 49 0.5 no
427 AB161 c5k31 Small B 162 24 1.0 yes
1202 AB238 c13k14 Small C 170 8 1.0 yes
1331 AB352 c14k44 Small C 167 32 1.0 yes
1555 AB640 c16k70 Small D 370 38 6.0 yes
1332 AB353 c14k45 Small C 128 62 0.5 yes
1454 AB475 c15k68 Small C 235 59 2.0 no
1194 AB237 c13k6 Small C 166 64 1.0 no
1443 AB464 c15k57 Small C 252 28 2.0 yes
338 AB1529 c4k41 Small B 266 20 3.0 yes
715 AB1871 c8k22 Small C 160 32 1.0 yes
1103 AB2279 c12k14 Small C 440 49 8.0 yes
1345 AB366 c14k58 Small C 78 13 0.5 yes
1484 AB505 c15k98 Small C 219 6 2.0 no
1571 AB827 c16k86 Small D 470 84 10.0 yes
528 AB1701 c6k33 Small B 195 37 1.0 no
1394 AB415 c15k8 Small C 118 34 0.5 yes
1025 AB2196 c11k35 Small C 357 53 5.0 yes
253 AB1451 c3k55 Small B 232 47 2.0 no
1148 AB2323 c12k59 Small C 464 32 10.0 yes
373 AB1560 c4k76 Small B 270 72 3.0 yes
56 AB059 c1k56 Small A 350 68 5.0 yes
558 AB1729 c6k63 Small B 106 53 0.5 yes
390 AB1576 c4k93 Small B 260 68 2.0 yes
486 AB1663 c5k90 Small B 292 57 3.0 no
798 AB1952 c9k6 Small C 450 39 9.0 no
930 AB2094 c10k39 Small C 427 57 8.0 yes
16 AB016 c1k16 Small A 340 12 5.0 no
1350 AB371 c14k63 Small C 120 10 0.5 no
647 AB181 c7k53 Small B 194 85 1.0 yes
889 AB2047 c9k97 Small C 385 94 6.0 yes
1125 AB230 c12k36 Small C 158 15 1.0 yes
213 AB1415 c3k15 Small B 240 87 2.0 yes
479 AB1657 c5k83 Small B 251 12 2.0 yes
1351 AB372 c14k64 Small C 154 55 1.0 yes
58 AB061 c1k58 Small A 363 73 6.0 no
836 AB1989 c9k44 Small C 350 92 5.0 no
432 AB1614 c5k36 Small B 276 16 3.0 yes
839 AB1991 c9k47 Small C 390 31 7.0 no
243 AB1442 c3k45 Small B 301 86 4.0 no
1022 AB2193 c11k32 Small C 345 68 5.0 no
435 AB1617 c5k39 Small B 302 22 4.0 yes
1059 AB2232 c11k69 Small C 375 62 6.0 yes
1328 AB349 c14k41 Small C 145 35 0.5 yes
986 AB2153 c10k95 Small C 460 63 9.0 yes
127 AB1337 c2k28 Small B 270 32 3.0 no
1355 AB376 c14k68 Small C 109 42 0.5 yes
311 AB1504 c4k14 Small B 316 19 4.0 yes
610 AB1776 c7k16 Small B 181 12 1.0 no
1380 AB401 c14k93 Small C 188 73 1.0 yes
1118 AB2293 c12k29 Small C 450 79 9.0 yes
1337 AB358 c14k50 Small C 144 27 0.5 yes
812 AB1966 c9k20 Small C 430 69 8.0 yes
1240 AB261 c13k52 Small C 141 43 0.5 no
1112 AB2288 c12k23 Small C 400 55 7.0 yes
1531 AB552 c16k46 Small C 243 47 2.0 no
1280 AB301 c13k92 Small C 122 78 0.5 yes
568 AB1738 c6k73 Small B 1 13 0.5 no
446 AB1627 c5k50 Small B 295 29 3.0 yes
482 AB166 c5k86 Small B 168 56 1.0 yes
489 AB1666 c5k93 Small B 275 44 3.0 no
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Description Usage Arguments Details Value Author(s) References See Also Examples
Description
Draws a simple random sample without replacement of size n_h in stratum h of size N_h
Usage
1 | S.STSI(S, Nh, nh)
|
Arguments
S |
Vector identifying the membership to the strata of each unit in the population |
Nh |
Vector of stratum sizes |
nh |
Vector of sample size in each stratum |
Details
The selected sample is drawn according to a selection-rejection (list-sequential) algorithm in each stratum
Value
The function returns a vector of size n=n_1+\cdots+n_H. Each element of this vector indicates the unit that was selected.
Author(s)
Hugo Andres Gutierrez Rojas hagutierrezro@gmail.com
References
Sarndal, C-E. and Swensson, B. and Wretman, J. (1992), Model Assisted Survey Sampling. Springer.
Gutierrez, H. A. (2009), Estrategias de muestreo: Diseno de encuestas y estimacion de parametros.
Editorial Universidad Santo Tomas.
See Also
Examples
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | ############
## Example 1
############
# Vector U contains the label of a population of size N=5
U <- c("Yves", "Ken", "Erik", "Sharon", "Leslie")
# Vector Strata contains an indicator variable of stratum membership
Strata <- c("A", "A", "A", "B", "B")
Strata
# The stratum sizes
Nh <- c(3,2)
# Then sample size in each stratum
nh <- c(2,1)
# Draws a stratified simple random sample without replacement of size n=3
sam <- S.STSI(Strata, Nh, nh)
sam
# The selected sample is
U[sam]
############
## Example 2
############
# Uses the Lucy data to draw a stratified random sample
# accordind to a SI design in each stratum
data(Lucy)
attach(Lucy)
# Level is the stratifying variable
summary(Level)
# Defines the size of each stratum
N1<-summary(Level)[[1]]
N2<-summary(Level)[[2]]
N3<-summary(Level)[[3]]
N1;N2;N3
Nh <- c(N1,N2,N3)
# Defines the sample size at each stratum
n1<-70
n2<-100
n3<-200
nh<-c(n1,n2,n3)
# Draws a stratified sample
sam <- S.STSI(Level, Nh, nh)
# The information about the units in the sample is stored in an object called data
data <- Lucy[sam,]
data
dim(data)
|
Example output
[1] "A" "A" "A" "B" "B"
[,1]
[1,] 2
[2,] 3
[3,] 5
[1] "Ken" "Erik" "Leslie"
Big Medium Small
83 737 1576
[1] 83
[1] 737
[1] 1576
ID Ubication Level Zone Income Employees Taxes SPAM
2319 AB1029 c25k42 Big A 1110 97 58.0 yes
2333 AB1123 c25k56 Big A 1020 133 50.0 yes
2356 AB1317 c25k79 Big B 1030 122 51.0 no
2331 AB1116 c25k54 Big A 1090 137 55.0 yes
2336 AB1126 c25k59 Big A 1614 159 138.0 yes
2385 AB912 c26k9 Big E 1088 133 55.0 no
2380 AB893 c26k4 Big E 1551 168 107.0 no
2361 AB725 c25k84 Big D 1005 83 49.0 yes
2364 AB742 c25k87 Big D 1030 149 50.0 yes
2360 AB670 c25k83 Big D 1600 189 112.0 yes
2328 AB1094 c25k51 Big A 1153 144 62.0 yes
2372 AB767 c25k95 Big D 1300 176 68.0 yes
2394 AB986 c26k18 Big E 1297 161 67.0 no
2359 AB637 c25k82 Big D 1405 111 83.0 yes
2377 AB878 c26k1 Big E 1008 76 50.0 no
2379 AB892 c26k3 Big E 1084 92 54.0 yes
2345 AB1206 c25k68 Big B 1003 115 49.0 yes
2357 AB590 c25k80 Big C 1360 134 76.0 yes
2315 AB098 c25k38 Big A 1155 117 62.0 yes
2344 AB1199 c25k67 Big B 1150 88 62.0 yes
2382 AB905 c26k6 Big E 1405 110 83.0 no
2371 AB766 c25k94 Big D 1110 93 58.0 yes
2378 AB891 c26k2 Big E 1040 118 52.0 no
2350 AB1220 c25k73 Big B 1480 193 104.0 no
2318 AB1028 c25k41 Big A 1193 122 63.0 yes
2323 AB1041 c25k46 Big A 1100 109 58.0 yes
2324 AB1042 c25k47 Big A 1100 161 57.0 yes
2367 AB746 c25k90 Big D 1090 105 55.0 yes
2339 AB1148 c25k62 Big A 1230 140 64.0 yes
2327 AB1093 c25k50 Big A 1063 146 54.0 yes
2342 AB118 c25k65 Big A 1118 109 59.0 no
2355 AB1308 c25k78 Big B 1170 158 63.0 no
2373 AB799 c25k96 Big D 1094 131 56.0 no
2390 AB957 c26k14 Big E 1220 163 63.0 no
2325 AB1072 c25k48 Big A 1434 157 83.0 yes
2314 AB097 c25k37 Big A 1131 112 61.0 no
2374 AB862 c25k97 Big E 1010 132 50.0 yes
2330 AB1108 c25k53 Big A 1094 83 57.0 yes
2358 AB636 c25k81 Big D 1024 149 50.0 yes
2346 AB1209 c25k69 Big B 1060 90 53.0 no
2375 AB863 c25k98 Big E 1565 162 109.0 no
2343 AB1187 c25k66 Big A 1459 176 99.0 no
2365 AB744 c25k88 Big D 1370 182 77.0 no
2341 AB1172 c25k64 Big A 1440 133 84.0 yes
2388 AB953 c26k12 Big E 1085 116 54.0 no
2326 AB1084 c25k49 Big A 1396 172 82.0 no
2338 AB1132 c25k61 Big A 2510 258 305.0 yes
2351 AB1231 c25k74 Big B 1160 121 62.0 no
2393 AB985 c26k17 Big E 1077 91 54.0 no
2370 AB749 c25k93 Big D 1911 263 196.0 yes
2354 AB1283 c25k77 Big B 1510 163 107.0 yes
2376 AB864 c25k99 Big E 1360 126 73.0 yes
2322 AB1040 c25k45 Big A 1130 82 61.0 yes
2383 AB906 c26k7 Big E 1250 100 64.0 yes
2384 AB908 c26k8 Big E 1305 150 70.0 yes
2353 AB1251 c25k76 Big B 1003 147 49.0 yes
2348 AB1212 c25k71 Big B 1616 158 142.0 yes
2335 AB1125 c25k58 Big A 1450 133 94.0 yes
2320 AB1038 c25k43 Big A 1044 90 52.0 yes
2337 AB1130 c25k60 Big A 1080 140 54.0 yes
2352 AB1232 c25k75 Big B 1490 201 105.0 yes
2386 AB916 c26k10 Big E 1161 157 62.0 no
2381 AB904 c26k5 Big E 1035 86 51.0 yes
2321 AB1039 c25k44 Big A 1016 96 50.0 no
2362 AB727 c25k85 Big D 1450 162 94.0 yes
2317 AB1026 c25k40 Big A 1044 78 52.0 yes
2316 AB1008 c25k39 Big A 1390 171 77.0 yes
2349 AB1217 c25k72 Big B 1101 117 58.0 yes
2368 AB747 c25k91 Big D 1280 145 65.0 yes
2396 AB988 c26k20 Big E 1860 253 176.0 yes
2249 AB923 c24k71 Medium E 611 94 18.0 yes
1984 AB606 c22k4 Medium C 500 39 12.0 yes
1891 AB2019 c20k10 Medium C 530 89 13.0 yes
2252 AB926 c24k74 Medium E 640 100 20.0 yes
1754 AB1185 c18k71 Medium A 610 82 18.0 no
2038 AB671 c22k58 Medium D 511 68 12.0 yes
2070 AB706 c22k90 Medium D 540 90 13.0 yes
2074 AB710 c22k94 Medium D 630 75 20.0 yes
2168 AB825 c23k89 Medium D 782 126 31.0 yes
1634 AB1052 c17k50 Medium A 730 117 27.0 no
1828 AB1277 c19k46 Medium B 821 71 34.0 yes
2127 AB780 c23k48 Medium D 590 39 17.0 yes
2046 AB681 c22k66 Medium D 520 93 12.0 no
2251 AB925 c24k73 Medium E 610 41 18.0 no
2011 AB635 c22k31 Medium D 828 95 34.0 yes
2090 AB728 c23k11 Medium D 550 95 14.0 yes
1996 AB619 c22k16 Medium D 510 60 12.0 yes
2092 AB732 c23k13 Medium D 570 73 15.0 no
2021 AB651 c22k41 Medium D 580 46 16.0 no
2110 AB760 c23k31 Medium D 810 130 33.0 no
2211 AB874 c24k33 Medium E 700 122 24.0 no
1837 AB1287 c19k55 Medium B 695 53 24.0 yes
2063 AB698 c22k83 Medium D 560 76 15.0 yes
2020 AB650 c22k40 Medium D 650 101 21.0 no
1690 AB1110 c18k7 Medium A 513 96 12.0 yes
1809 AB1258 c19k27 Medium B 545 42 14.0 no
1610 AB1022 c17k26 Medium A 691 57 24.0 yes
2016 AB645 c22k36 Medium D 575 77 15.0 yes
2134 AB787 c23k55 Medium D 690 65 23.0 no
2276 AB951 c24k98 Medium E 924 66 42.0 no
1583 AB091 c16k98 Medium A 550 75 14.0 no
1709 AB1138 c18k26 Medium A 637 104 20.0 no
2008 AB632 c22k28 Medium D 710 103 25.0 no
2125 AB778 c23k46 Medium D 610 113 18.0 yes
1627 AB1046 c17k43 Medium A 884 92 38.0 yes
2289 AB969 c25k12 Medium E 892 112 40.0 yes
1888 AB2013 c20k7 Medium C 570 85 15.0 no
2202 AB865 c24k24 Medium E 565 44 15.0 no
2236 AB907 c24k58 Medium E 990 113 48.0 no
1707 AB1136 c18k24 Medium A 700 51 25.0 yes
1774 AB1208 c18k91 Medium B 678 68 23.0 no
2269 AB944 c24k91 Medium E 670 95 23.0 yes
2220 AB885 c24k42 Medium E 580 50 16.0 yes
2113 AB763 c23k34 Medium D 811 94 33.0 yes
1871 AB1325 c19k89 Medium B 595 87 17.0 no
2295 AB975 c25k18 Medium E 790 107 31.0 yes
1783 AB1223 c19k1 Medium B 637 108 20.0 no
1831 AB1280 c19k49 Medium B 963 106 45.0 yes
1998 AB621 c22k18 Medium D 590 55 16.0 yes
1763 AB1196 c18k80 Medium B 623 95 19.0 no
1903 AB2079 c20k22 Medium C 520 80 12.0 no
2137 AB790 c23k58 Medium D 810 57 32.0 no
1597 AB1010 c17k13 Medium A 600 96 18.0 yes
1778 AB1215 c18k95 Medium B 580 41 16.0 no
1630 AB1049 c17k46 Medium A 672 39 23.0 yes
2156 AB813 c23k77 Medium D 586 87 16.0 yes
2076 AB712 c22k96 Medium D 620 99 19.0 no
1635 AB1053 c17k51 Medium A 535 26 13.0 yes
2028 AB658 c22k48 Medium D 720 52 26.0 no
2205 AB868 c24k27 Medium E 576 29 15.0 yes
2014 AB643 c22k34 Medium D 540 106 13.0 no
2281 AB960 c25k4 Medium E 591 51 17.0 yes
1604 AB1017 c17k20 Medium A 553 92 14.0 yes
2282 AB961 c25k5 Medium E 590 79 16.0 yes
2141 AB794 c23k62 Medium D 640 121 21.0 no
1856 AB1309 c19k74 Medium B 576 97 15.0 yes
2077 AB713 c22k97 Medium D 590 55 16.0 yes
1950 AB2382 c20k69 Medium C 553 96 14.0 yes
2126 AB779 c23k47 Medium D 580 50 16.0 yes
1823 AB1272 c19k41 Medium B 714 52 26.0 yes
2087 AB723 c23k8 Medium D 900 97 40.0 yes
1848 AB1299 c19k66 Medium B 654 114 22.0 yes
2162 AB819 c23k83 Medium D 620 70 19.0 yes
1750 AB1181 c18k67 Medium A 810 120 32.0 no
1729 AB1159 c18k46 Medium A 766 65 29.0 no
2243 AB917 c24k65 Medium E 560 52 15.0 no
1700 AB1122 c18k17 Medium A 820 82 34.0 yes
1764 AB1197 c18k81 Medium B 730 81 27.0 no
1920 AB2179 c20k39 Medium C 579 49 16.0 yes
1951 AB2395 c20k70 Medium C 578 77 16.0 yes
1648 AB1066 c17k64 Medium A 850 102 36.0 yes
1897 AB2048 c20k16 Medium C 530 41 13.0 yes
2059 AB694 c22k79 Medium D 600 88 17.0 yes
1631 AB105 c17k47 Medium A 589 103 16.0 yes
1965 AB583 c20k84 Medium C 665 58 22.0 no
2004 AB628 c22k24 Medium D 650 93 21.0 yes
1924 AB2192 c20k43 Medium C 530 41 13.0 no
2082 AB718 c23k3 Medium D 650 89 21.0 yes
2306 AB992 c25k29 Medium E 610 93 18.0 yes
2199 AB859 c24k21 Medium E 810 105 33.0 yes
1677 AB1097 c17k93 Medium A 599 36 17.0 yes
2067 AB702 c22k87 Medium D 520 85 12.0 no
1964 AB582 c20k83 Medium C 570 53 15.0 yes
2158 AB815 c23k79 Medium D 582 98 16.0 yes
1612 AB1024 c17k28 Medium A 925 107 42.0 no
1661 AB1079 c17k77 Medium A 557 32 14.0 yes
2272 AB947 c24k94 Medium E 700 118 24.0 no
2034 AB665 c22k54 Medium D 690 108 23.0 yes
1579 AB058 c16k94 Medium A 556 92 14.0 yes
1725 AB1155 c18k42 Medium A 610 57 18.0 no
1371 AB392 c14k84 Small C 124 62 0.5 yes
730 AB1885 c8k37 Small C 380 18 6.0 yes
472 AB1650 c5k76 Small B 236 59 2.0 yes
927 AB2090 c10k36 Small C 480 45 10.0 yes
834 AB1986 c9k42 Small C 470 44 10.0 yes
130 AB134 c2k31 Small B 202 37 1.0 yes
643 AB1806 c7k49 Small B 190 73 1.0 yes
163 AB137 c2k64 Small B 109 50 0.5 yes
39 AB039 c1k39 Small A 360 41 5.0 yes
1497 AB518 c16k12 Small C 223 82 2.0 yes
1307 AB328 c14k20 Small C 151 27 1.0 yes
746 AB190 c8k53 Small C 141 59 0.5 no
52 AB054 c1k52 Small A 380 90 6.0 yes
337 AB1528 c4k40 Small B 235 51 2.0 no
1 AB001 c1k1 Small A 281 41 3.0 no
847 AB1999 c9k55 Small C 430 97 8.0 no
1422 AB443 c15k36 Small C 249 67 2.0 no
1020 AB219 c11k30 Small C 139 3 0.5 no
334 AB1525 c4k37 Small B 300 26 4.0 yes
619 AB1784 c7k25 Small B 182 76 1.0 yes
776 AB193 c8k83 Small C 83 45 0.5 yes
1502 AB523 c16k17 Small C 299 89 3.0 no
356 AB1545 c4k59 Small B 235 71 2.0 no
69 AB072 c1k69 Small A 390 95 7.0 yes
1562 AB703 c16k77 Small D 470 68 10.0 yes
24 AB024 c1k24 Small A 411 56 7.0 yes
1464 AB485 c15k78 Small C 237 23 2.0 yes
374 AB1561 c4k77 Small B 317 67 4.0 yes
1514 AB535 c16k29 Small C 286 41 3.0 yes
1222 AB243 c13k34 Small C 93 65 0.5 no
316 AB1509 c4k19 Small B 227 6 2.0 yes
119 AB131 c2k20 Small B 84 81 0.5 yes
320 AB1512 c4k23 Small B 239 19 2.0 yes
779 AB1932 c8k86 Small C 420 92 7.0 yes
1511 AB532 c16k26 Small C 245 39 2.0 no
385 AB1571 c4k88 Small B 290 45 3.0 yes
630 AB1794 c7k36 Small B 130 58 0.5 yes
954 AB2120 c10k63 Small C 350 20 5.0 yes
1472 AB493 c15k86 Small C 290 41 3.0 no
287 AB1482 c3k89 Small B 250 51 2.0 no
1047 AB2219 c11k57 Small C 350 25 5.0 yes
788 AB1943 c8k95 Small C 340 56 5.0 yes
70 AB074 c1k70 Small A 330 67 4.0 no
425 AB1608 c5k29 Small B 303 94 4.0 yes
614 AB178 c7k20 Small B 79 73 0.5 yes
901 AB2062 c10k10 Small C 333 76 5.0 no
917 AB2078 c10k26 Small C 460 63 9.0 no
860 AB2011 c9k68 Small C 400 79 7.0 yes
1468 AB489 c15k82 Small C 201 57 1.0 no
268 AB1465 c3k70 Small B 258 84 2.0 no
1170 AB2347 c12k81 Small C 473 25 10.0 no
967 AB2134 c10k76 Small C 360 29 5.0 yes
1457 AB478 c15k71 Small C 243 67 2.0 yes
742 AB1896 c8k49 Small C 319 67 4.0 yes
68 AB071 c1k68 Small A 360 29 5.0 yes
1455 AB476 c15k69 Small C 323 63 4.0 no
115 AB129 c2k16 Small B 10 65 0.5 no
367 AB1555 c4k70 Small B 268 80 3.0 no
1538 AB559 c16k53 Small C 208 78 1.0 yes
382 AB1569 c4k85 Small B 345 68 5.0 yes
445 AB1626 c5k49 Small B 331 16 4.0 no
994 AB2161 c11k4 Small C 390 27 7.0 no
64 AB067 c1k64 Small A 475 57 10.0 no
1449 AB470 c15k63 Small C 265 52 3.0 no
292 AB1487 c3k94 Small B 280 21 3.0 yes
497 AB1673 c6k2 Small B 242 55 2.0 no
1287 AB308 c13k99 Small C 120 46 0.5 yes
1078 AB2250 c11k88 Small C 435 73 8.0 no
1533 AB554 c16k48 Small C 236 35 2.0 no
1316 AB337 c14k29 Small C 131 74 0.5 no
1459 AB480 c15k73 Small C 320 71 4.0 yes
1234 AB255 c13k46 Small C 82 21 0.5 no
457 AB1637 c5k61 Small B 230 47 2.0 yes
263 AB1460 c3k65 Small B 300 78 3.0 yes
1367 AB388 c14k80 Small C 96 29 0.5 yes
23 AB023 c1k23 Small A 450 94 9.0 no
792 AB1947 c8k99 Small C 385 54 6.0 no
1440 AB461 c15k54 Small C 292 13 3.0 yes
786 AB194 c8k93 Small C 153 27 1.0 no
76 AB081 c1k76 Small A 313 82 4.0 no
1352 AB373 c14k65 Small C 99 21 0.5 yes
1445 AB466 c15k59 Small C 221 54 2.0 yes
858 AB201 c9k66 Small C 150 7 1.0 yes
122 AB1332 c2k23 Small B 270 56 3.0 no
1012 AB2181 c11k22 Small C 347 60 5.0 yes
491 AB1668 c5k95 Small B 336 80 5.0 yes
1037 AB2209 c11k47 Small C 395 43 7.0 no
885 AB2041 c9k93 Small C 350 81 5.0 yes
301 AB1495 c4k4 Small B 240 31 2.0 yes
273 AB147 c3k75 Small B 144 63 0.5 yes
867 AB2023 c9k75 Small C 469 20 10.0 no
51 AB053 c1k51 Small A 400 15 7.0 yes
997 AB2164 c11k7 Small C 489 53 10.5 no
1520 AB541 c16k35 Small C 227 34 2.0 yes
1201 AB2377 c13k13 Small C 365 81 6.0 yes
1169 AB2346 c12k80 Small C 314 70 4.0 no
180 AB1385 c2k81 Small B 340 60 5.0 yes
1563 AB729 c16k78 Small D 495 90 10.5 no
1153 AB2329 c12k64 Small C 427 85 8.0 no
1031 AB2202 c11k41 Small C 378 70 6.0 yes
228 AB1429 c3k30 Small B 370 58 6.0 no
1389 AB410 c15k3 Small C 165 76 1.0 yes
738 AB1892 c8k45 Small C 490 30 10.5 yes
1487 AB508 c16k2 Small C 383 26 6.0 no
418 AB1601 c5k22 Small B 307 74 4.0 no
950 AB2117 c10k59 Small C 409 36 7.0 no
171 AB1377 c2k72 Small B 280 65 3.0 yes
35 AB035 c1k35 Small A 381 94 6.0 no
133 AB1342 c2k34 Small B 290 93 3.0 yes
185 AB139 c2k86 Small B 76 9 0.5 yes
1072 AB2245 c11k82 Small C 460 24 9.0 no
1147 AB2322 c12k58 Small C 416 80 7.0 no
1491 AB512 c16k6 Small C 250 75 2.0 yes
1180 AB2357 c12k91 Small C 347 12 5.0 yes
523 AB1697 c6k28 Small B 159 12 1.0 yes
143 AB1351 c2k44 Small B 245 39 2.0 no
99 AB1194 c1k99 Small B 480 49 10.0 no
1196 AB2371 c13k8 Small C 400 55 7.0 yes
846 AB1998 c9k54 Small C 380 18 6.0 no
868 AB2024 c9k76 Small C 390 23 6.0 yes
109 AB1241 c2k10 Small B 428 61 8.0 no
667 AB1828 c7k73 Small B 94 41 0.5 no
825 AB1978 c9k33 Small C 471 101 10.0 no
1490 AB511 c16k5 Small C 236 79 2.0 yes
1448 AB469 c15k62 Small C 222 90 2.0 yes
1193 AB2369 c13k5 Small C 460 51 9.0 yes
1306 AB327 c14k19 Small C 200 9 1.0 no
178 AB1383 c2k79 Small B 319 63 4.0 yes
420 AB1603 c5k24 Small B 226 30 2.0 yes
146 AB1354 c2k47 Small B 310 42 4.0 no
1523 AB544 c16k38 Small C 341 16 5.0 yes
946 AB2111 c10k55 Small C 480 77 10.0 no
944 AB211 c10k53 Small C 168 84 1.0 yes
318 AB1510 c4k21 Small B 260 12 2.0 yes
578 AB1747 c6k83 Small B 150 35 1.0 yes
1041 AB2212 c11k51 Small C 425 93 8.0 yes
1101 AB2277 c12k12 Small C 370 33 6.0 yes
796 AB1950 c9k4 Small C 460 55 9.0 yes
590 AB1758 c6k95 Small B 152 43 1.0 no
1365 AB386 c14k78 Small C 48 49 0.5 no
427 AB161 c5k31 Small B 162 24 1.0 yes
1202 AB238 c13k14 Small C 170 8 1.0 yes
1331 AB352 c14k44 Small C 167 32 1.0 yes
1555 AB640 c16k70 Small D 370 38 6.0 yes
1332 AB353 c14k45 Small C 128 62 0.5 yes
1454 AB475 c15k68 Small C 235 59 2.0 no
1194 AB237 c13k6 Small C 166 64 1.0 no
1443 AB464 c15k57 Small C 252 28 2.0 yes
338 AB1529 c4k41 Small B 266 20 3.0 yes
715 AB1871 c8k22 Small C 160 32 1.0 yes
1103 AB2279 c12k14 Small C 440 49 8.0 yes
1345 AB366 c14k58 Small C 78 13 0.5 yes
1484 AB505 c15k98 Small C 219 6 2.0 no
1571 AB827 c16k86 Small D 470 84 10.0 yes
528 AB1701 c6k33 Small B 195 37 1.0 no
1394 AB415 c15k8 Small C 118 34 0.5 yes
1025 AB2196 c11k35 Small C 357 53 5.0 yes
253 AB1451 c3k55 Small B 232 47 2.0 no
1148 AB2323 c12k59 Small C 464 32 10.0 yes
373 AB1560 c4k76 Small B 270 72 3.0 yes
56 AB059 c1k56 Small A 350 68 5.0 yes
558 AB1729 c6k63 Small B 106 53 0.5 yes
390 AB1576 c4k93 Small B 260 68 2.0 yes
486 AB1663 c5k90 Small B 292 57 3.0 no
798 AB1952 c9k6 Small C 450 39 9.0 no
930 AB2094 c10k39 Small C 427 57 8.0 yes
16 AB016 c1k16 Small A 340 12 5.0 no
1350 AB371 c14k63 Small C 120 10 0.5 no
647 AB181 c7k53 Small B 194 85 1.0 yes
889 AB2047 c9k97 Small C 385 94 6.0 yes
1125 AB230 c12k36 Small C 158 15 1.0 yes
213 AB1415 c3k15 Small B 240 87 2.0 yes
479 AB1657 c5k83 Small B 251 12 2.0 yes
1351 AB372 c14k64 Small C 154 55 1.0 yes
58 AB061 c1k58 Small A 363 73 6.0 no
836 AB1989 c9k44 Small C 350 92 5.0 no
432 AB1614 c5k36 Small B 276 16 3.0 yes
839 AB1991 c9k47 Small C 390 31 7.0 no
243 AB1442 c3k45 Small B 301 86 4.0 no
1022 AB2193 c11k32 Small C 345 68 5.0 no
435 AB1617 c5k39 Small B 302 22 4.0 yes
1059 AB2232 c11k69 Small C 375 62 6.0 yes
1328 AB349 c14k41 Small C 145 35 0.5 yes
986 AB2153 c10k95 Small C 460 63 9.0 yes
127 AB1337 c2k28 Small B 270 32 3.0 no
1355 AB376 c14k68 Small C 109 42 0.5 yes
311 AB1504 c4k14 Small B 316 19 4.0 yes
610 AB1776 c7k16 Small B 181 12 1.0 no
1380 AB401 c14k93 Small C 188 73 1.0 yes
1118 AB2293 c12k29 Small C 450 79 9.0 yes
1337 AB358 c14k50 Small C 144 27 0.5 yes
812 AB1966 c9k20 Small C 430 69 8.0 yes
1240 AB261 c13k52 Small C 141 43 0.5 no
1112 AB2288 c12k23 Small C 400 55 7.0 yes
1531 AB552 c16k46 Small C 243 47 2.0 no
1280 AB301 c13k92 Small C 122 78 0.5 yes
568 AB1738 c6k73 Small B 1 13 0.5 no
446 AB1627 c5k50 Small B 295 29 3.0 yes
482 AB166 c5k86 Small B 168 56 1.0 yes
489 AB1666 c5k93 Small B 275 44 3.0 no
[1] 370 8
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