" ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ Step 0: Prepare data-file for analysis of similar trials conducted in Randomised Complete Block Designs in a single treatment-factor. The texts within the (two matching) double quotes are the comments (ignored by Genstat) to help input the values of the parameters. Some input names would be mandatory as defined in the program. Save this file as text file. You must include the following identifiers/abbreviations for the mandatory variables/vectors (factors). Vectors/factors TrialNo: column (factor) to represent trial. Rep : column (factor) to represent replication. Treat: column (factor) to represent the single treatment factor (for example, genotype). Preparing the file: There are following 3 places of inputting information from your side. 1. First input: list the variables you wish to analyze; the whole list should be within single quotes. for example: ' GYld, DFLR, HSW ' 2. Second input: list all the variables in the data file to read; the whole list should be within single quotes. for example: ' TrialNo, Rep, Treat, DFLR, HSW, GYld' 3. Third input: place the columns of the data exactly in the same order as in the Second input (Step 2) Warning: a. Please do not put any column of text values. b. All the variables should be as a single word begining with a letter (such as W100Seeds or Yield, but not as ' W100 Seeds ' ). c. Variables for analysis are in Step 1, so thay must be exactly same as in Step 2, where they are being read for storing data values. d. Missing values should be expressed by an asterisk ( * ) ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ " ' GYld, DFLR, HSW ' "<------------ List the variables you wish to analyze in this line. (Input 1st of 3 inputs) ---------------------" ' TrialNo, Rep, Treat, DFLR, HSW, GYld' "<------------ List all the variables in the data file in this line. (Input 2nd of 3 inputs) ---------------------" " Insert columns of your data below in the order of 2nd input line ---- (3rd and the last input) " 1 1 1 95 1.6 1276 1 1 2 97 1.4 1720 1 1 3 94 1.4 1378 1 1 4 91 1.5 1047 1 1 5 95 1.4 1438 1 1 6 93 1.5 1730 1 1 7 91 1.5 1119 1 1 8 90 1.4 1754 1 1 9 92 1.4 2005 1 1 10 94 1.6 1406 1 1 11 96 1.4 1148 1 2 1 97 1.5 1656 1 2 2 92 1.2 1487 1 2 3 91 1.3 1601 1 2 4 93 1.4 869 1 2 5 93 1.3 1243 1 2 6 95 1.3 1608 1 2 7 93 1.4 1491 1 2 8 93 1.5 1796 1 2 9 94 1.3 1813 1 2 10 96 1.5 1247 1 2 11 94 1.4 1301 1 3 1 98 1.5 1442 1 3 2 94 1.4 1963 1 3 3 96 1.5 1249 1 3 4 94 1.5 1174 1 3 5 95 1.4 1647 1 3 6 92 1.4 2061 1 3 7 94 1.5 1111 1 3 8 94 1.3 2005 1 3 9 95 1.4 1897 1 3 10 98 1.4 1375 1 3 11 95 1.5 2088 1 4 1 97 1.5 1445 1 4 2 93 1.5 1646 1 4 3 99 1.3 1858 1 4 4 94 1.5 1090 1 4 5 98 1.4 1872 1 4 6 91 1.4 1463 1 4 7 94 1.6 1300 1 4 8 97 1.6 1482 1 4 9 92 1.5 2080 1 4 10 97 1.4 1528 1 4 11 91 1.3 1609 2 1 1 96 1.4 1075 2 1 2 89 1.5 1174 2 1 3 85 1.3 1466 2 1 4 89 1.5 1361 2 1 5 96 1.3 1081 2 1 6 89 1.6 1346 2 1 7 94 1.4 1138 2 1 8 91 1.3 1727 2 1 9 91 1.5 1783 2 1 10 94 1.5 1620 2 1 11 94 1.4 1140 2 2 1 93 1.4 841 2 2 2 92 1.5 1610 2 2 3 94 1.3 1327 2 2 4 93 1.3 1310 2 2 5 90 1.2 1018 2 2 6 90 1.5 1801 2 2 7 93 1.5 1048 2 2 8 89 1.3 1273 2 2 9 89 1.5 1697 2 2 10 95 1.2 1378 2 2 11 96 1.4 1407 2 3 1 95 1.2 880 2 3 2 93 1.5 1763 2 3 3 96 1.3 1144 2 3 4 93 1.3 1281 2 3 5 89 1.2 1135 2 3 6 93 1.9 1383 2 3 7 93 1.5 885 2 3 8 92 1.2 1553 2 3 9 93 1.5 1825 2 3 10 95 1.5 1319 2 3 11 94 1.4 1752 2 4 1 96 1.3 903 2 4 2 92 1.4 1589 2 4 3 94 1.1 1084 2 4 4 95 1.5 1137 2 4 5 89 1.2 947 2 4 6 95 1.6 1710 2 4 7 95 1.5 1307 2 4 8 94 1.3 1447 2 4 9 94 1.7 1978 2 4 10 95 1.4 1882 2 4 11 96 1.4 1274 3 1 1 88 1.8 600 3 1 2 86 1.6 855 3 1 3 87 1.7 637 3 1 4 88 1.7 633 3 1 5 88 1.7 853 3 1 6 92 1.5 796 3 1 7 87 1.7 884 3 1 8 85 1.8 628 3 1 9 86 1.5 795 3 1 10 84 1.6 761 3 1 11 88 1.8 859 3 2 1 86 1.7 583 3 2 2 88 1.6 1111 3 2 3 86 1.7 512 3 2 4 91 1.9 858 3 2 5 87 1.7 850 3 2 6 89 1.8 729 3 2 7 90 1.7 902 3 2 8 85 1.7 636 3 2 9 88 1.7 818 3 2 10 92 1.7 732 3 2 11 88 1.7 919 3 3 1 87 1.7 623 3 3 2 85 1.7 726 3 3 3 86 1.8 565 3 3 4 84 1.8 624 3 3 5 86 1.9 843 3 3 6 85 1.6 575 3 3 7 86 1.6 721 3 3 8 83 1.5 631 3 3 9 84 1.5 572 3 3 10 87 1.5 768 3 3 11 88 1.7 812 3 4 1 88 1.7 605 3 4 2 88 1.5 966 3 4 3 87 1.6 686 3 4 4 86 2.0 475 3 4 5 85 1.6 658 3 4 6 89 1.7 771 3 4 7 89 1.7 654 3 4 8 87 1.5 636 3 4 9 90 1.7 719 3 4 10 84 1.6 644 3 4 11 84 1.5 620 4 1 1 103 1.5 1370 4 1 2 103 1.8 997 4 1 3 104 1.6 1248 4 1 4 105 1.6 1354 4 1 5 100 1.7 1836 4 1 6 103 1.6 1059 4 1 7 106 1.5 1334 4 1 8 104 1.7 1073 4 1 9 101 1.3 1144 4 1 10 104 1.4 1032 4 1 11 105 1.5 1529 4 2 1 102 1.7 1158 4 2 2 103 1.5 1072 4 2 3 103 1.5 1492 4 2 4 101 1.6 1364 4 2 5 104 1.6 1393 4 2 6 102 1.5 1493 4 2 7 103 1.4 1135 4 2 8 102 1.4 1058 4 2 9 103 1.4 991 4 2 10 106 1.6 1148 4 2 11 108 1.5 1476 4 3 1 104 1.4 1052 4 3 2 105 1.4 1272 4 3 3 102 1.3 1248 4 3 4 103 1.4 1106 4 3 5 102 1.4 1341 4 3 6 104 1.3 1258 4 3 7 102 1.2 1130 4 3 8 106 1.4 1108 4 3 9 100 1.6 995 4 3 10 102 1.4 922 4 3 11 102 1.4 1528 4 4 1 103 1.4 1005 4 4 2 103 1.3 1234 4 4 3 103 1.5 1305 4 4 4 105 1.4 1497 4 4 5 102 1.5 1383 4 4 6 101 1.4 1087 4 4 7 106 1.4 1035 4 4 8 105 1.5 975 4 4 9 104 1.5 1439 4 4 10 103 1.3 1174 4 4 11 104 1.4 1313 5 1 1 100 1.7 848 5 1 2 96 1.8 950 5 1 3 96 1.7 716 5 1 4 102 2.1 753 5 1 5 97 1.3 731 5 1 6 101 1.7 807 5 1 7 94 1.4 615 5 1 8 102 1.8 625 5 1 9 95 1.3 744 5 1 10 104 1.7 811 5 1 11 100 1.8 897 5 2 1 99 1.8 1076 5 2 2 96 1.4 950 5 2 3 97 1.6 820 5 2 4 102 2.1 834 5 2 5 97 1.8 869 5 2 6 100 1.4 690 5 2 7 94 1.9 721 5 2 8 98 1.6 787 5 2 9 95 1.4 855 5 2 10 104 1.4 835 5 2 11 97 1.4 791 5 3 1 99 1.6 805 5 3 2 96 1.5 633 5 3 3 97 1.7 656 5 3 4 100 1.6 813 5 3 5 99 1.6 901 5 3 6 103 1.4 878 5 3 7 96 1.8 888 5 3 8 99 1.7 813 5 3 9 94 1.4 796 5 3 10 103 1.3 780 5 3 11 97 1.9 706 5 4 1 99 1.3 803 5 4 2 98 1.4 917 5 4 3 98 1.4 756 5 4 4 100 1.9 766 5 4 5 98 1.6 831 5 4 6 99 1.4 851 5 4 7 97 1.9 916 5 4 8 103 1.4 914 5 4 9 96 1.8 888 5 4 10 102 1.5 890 5 4 11 98 1.6 744 6 1 1 91 1.7 893 6 1 2 82 1.7 912 6 1 3 81 1.6 1351 6 1 4 87 1.7 1172 6 1 5 87 1.4 930 6 1 6 83 1.8 1124 6 1 7 87 1.6 967 6 1 8 85 1.5 1520 6 1 9 88 1.7 1640 6 1 10 88 1.7 1387 6 1 11 91 1.7 1057 6 2 1 89 1.6 743 6 2 2 86 1.7 1376 6 2 3 86 1.5 1070 6 2 4 90 1.5 1155 6 2 5 86 1.5 870 6 2 6 85 1.7 1603 6 2 7 90 1.7 918 6 2 8 88 1.6 1177 6 2 9 82 1.7 1426 6 2 10 89 1.4 1099 6 2 11 87 1.4 1086 6 3 1 90 1.4 760 6 3 2 85 1.7 1445 6 3 3 89 1.5 869 6 3 4 87 1.5 1069 6 3 5 87 1.5 1010 6 3 6 89 2.0 1194 6 3 7 90 1.7 702 6 3 8 87 1.5 1329 6 3 9 88 1.7 1593 6 3 10 92 1.6 1159 6 3 11 87 1.6 1676 6 4 1 90 1.5 791 6 4 2 85 1.6 1345 6 4 3 90 1.4 910 6 4 4 90 1.7 910 6 4 5 83 1.4 747 6 4 6 91 1.8 1546 6 4 7 88 1.7 1012 6 4 8 88 1.6 1212 6 4 9 86 1.8 1490 6 4 10 89 1.6 1612 6 4 11 90 1.6 1035 7 1 1 79 1.6 1492 7 1 2 82 1.5 1550 7 1 3 81 1.6 1424 7 1 4 84 1.6 1661 7 1 5 83 1.5 1681 7 1 6 89 1.5 1668 7 1 7 82 1.7 1590 7 1 8 81 1.7 1315 7 1 9 84 1.5 1494 7 1 10 80 1.6 1774 7 1 11 77 1.6 1651 7 2 1 85 1.6 1203 7 2 2 85 1.5 1125 7 2 3 79 1.7 1146 7 2 4 86 1.7 1048 7 2 5 82 1.6 1532 7 2 6 81 1.7 1449 7 2 7 81 1.6 1573 7 2 8 77 1.6 1004 7 2 9 81 1.7 1166 7 2 10 88 1.6 1344 7 2 11 87 1.7 1323 7 3 1 79 1.6 1327 7 3 2 77 1.6 1284 7 3 3 83 1.7 1143 7 3 4 84 1.8 1554 7 3 5 81 1.8 1335 7 3 6 80 1.6 1066 7 3 7 78 1.6 1304 7 3 8 87 1.5 1185 7 3 9 81 1.5 905 7 3 10 89 1.5 1497 7 3 11 78 1.6 1337 7 4 1 78 1.6 1083 7 4 2 82 1.5 679 7 4 3 82 1.6 940 7 4 4 78 1.9 1018 7 4 5 87 1.6 723 7 4 6 80 1.6 866 7 4 7 81 1.7 963 7 4 8 84 1.5 1142 7 4 9 88 1.6 916 7 4 10 84 1.6 715 7 4 11 81 1.5 1408 8 1 1 88 2.2 1362 8 1 2 89 1.8 1999 8 1 3 87 1.8 2108 8 1 4 91 1.7 1122 8 1 5 88 1.9 1515 8 1 6 89 1.9 1687 8 1 7 103 1.8 1510 8 1 8 87 1.7 1526 8 1 9 98 1.9 2322 8 1 10 88 1.6 1819 8 1 11 87 1.9 2099 8 2 1 99 1.9 1675 8 2 2 91 1.8 2117 8 2 3 90 2.0 2032 8 2 4 96 1.9 1765 8 2 5 98 1.9 1439 8 2 6 92 1.8 1727 8 2 7 92 1.9 1638 8 2 8 87 1.9 1400 8 2 9 100 1.8 2405 8 2 10 94 1.7 1819 8 2 11 91 1.7 1767 8 3 1 94 1.8 1179 8 3 2 97 1.7 1861 8 3 3 100 1.9 1649 8 3 4 94 1.8 1326 8 3 5 89 1.8 1461 8 3 6 95 1.9 1339 8 3 7 97 1.8 1510 8 3 8 100 1.7 1441 8 3 9 98 1.6 1909 8 3 10 98 1.7 1894 8 3 11 97 1.7 1385 8 4 1 96 1.9 1883 8 4 2 96 1.7 1781 8 4 3 94 1.9 1730 8 4 4 95 1.9 1826 8 4 5 95 1.8 1879 8 4 6 94 1.9 1817 8 4 7 100 1.9 1975 8 4 8 95 1.8 1803 8 4 9 97 1.6 1605 8 4 10 96 1.7 1527 8 4 11 93 1.7 1552 9 1 1 106 1.5 1732 9 1 2 105 1.7 1503 9 1 3 107 1.4 1854 9 1 4 107 1.2 1923 9 1 5 105 1.2 1269 9 1 6 107 1.2 1624 9 1 7 106 1.2 1521 9 1 8 105 1.5 1894 9 1 9 102 1.5 1770 9 1 10 101 1.4 1537 9 1 11 105 1.4 1922 9 2 1 103 1.2 1542 9 2 2 108 1.2 1504 9 2 3 105 1.4 1376 9 2 4 110 1.3 1803 9 2 5 110 1.5 1506 9 2 6 106 1.4 2164 9 2 7 104 1.3 1259 9 2 8 103 1.4 2365 9 2 9 103 1.5 1595 9 2 10 104 1.4 1593 9 2 11 105 1.5 1917 9 3 1 107 1.5 1892 9 3 2 109 1.4 1282 9 3 3 104 1.6 1470 9 3 4 106 1.5 1858 9 3 5 107 1.5 1571 9 3 6 108 1.3 1780 9 3 7 109 1.4 1393 9 3 8 107 1.5 1694 9 3 9 105 1.3 1988 9 3 10 103 1.4 1517 9 3 11 102 1.5 1671 9 4 1 107 1.5 1414 9 4 2 108 1.2 1881 9 4 3 106 1.5 1791 9 4 4 105 1.2 1236 9 4 5 108 1.4 1390 9 4 6 107 1.2 1697 9 4 7 106 1.1 2397 9 4 8 105 1.3 1628 9 4 9 99 1.2 1543 9 4 10 104 1.3 1434 9 4 11 104 1.3 2341 10 1 1 71 1.7 761 10 1 2 73 1.5 1860 10 1 3 75 1.5 1414 10 1 4 73 1.7 1247 10 1 5 68 1.7 977 10 1 6 72 1.6 1069 10 1 7 66 1.8 1202 10 1 8 66 1.6 1168 10 1 9 69 1.6 1483 10 1 10 67 1.8 1098 10 1 11 69 1.5 1351 10 2 1 72 1.6 773 10 2 2 74 1.6 1409 10 2 3 74 1.6 1228 10 2 4 72 1.7 1356 10 2 5 73 1.6 991 10 2 6 72 1.7 1013 10 2 7 71 1.7 1138 10 2 8 69 1.6 1255 10 2 9 71 1.6 1574 10 2 10 70 1.8 831 10 2 11 67 1.6 1172 10 3 1 75 1.7 770 10 3 2 76 1.7 1384 10 3 3 75 1.7 1410 10 3 4 74 1.6 1216 10 3 5 73 1.5 973 10 3 6 76 1.7 1015 10 3 7 72 1.7 1163 10 3 8 72 1.6 1115 10 3 9 70 1.6 1496 10 3 10 72 1.7 1007 10 3 11 71 1.7 1284 10 4 1 75 1.7 843 10 4 2 66 1.7 1313 10 4 3 75 1.8 1132 10 4 4 75 1.8 1305 10 4 5 74 1.7 833 10 4 6 74 1.7 1065 10 4 7 72 1.6 1104 10 4 8 73 1.7 1054 10 4 9 70 1.6 1378 10 4 10 73 1.7 946 10 4 11 70 1.6 1171 11 1 1 70 1.7 1580 11 1 2 72 1.7 1606 11 1 3 73 1.7 1419 11 1 4 73 1.7 1600 11 1 5 75 1.7 1791 11 1 6 77 1.4 1646 11 1 7 72 1.7 1633 11 1 8 74 1.8 1500 11 1 9 73 1.4 1502 11 1 10 69 1.6 1875 11 1 11 67 1.7 1751 11 2 1 76 1.7 1298 11 2 2 75 1.6 1177 11 2 3 68 1.7 1158 11 2 4 79 1.8 1180 11 2 5 73 1.7 1596 11 2 6 72 1.7 1525 11 2 7 79 1.7 1705 11 2 8 68 1.7 1111 11 2 9 70 1.7 1200 11 2 10 77 1.7 1378 11 2 11 79 1.7 1424 11 3 1 70 1.5 1390 11 3 2 69 1.6 1380 11 3 3 73 1.7 1193 11 3 4 73 1.8 1577 11 3 5 69 1.8 1332 11 3 6 69 1.6 1061 11 3 7 71 1.6 1439 11 3 8 75 1.5 1162 11 3 9 69 1.5 915 11 3 10 79 1.5 1524 11 3 11 68 1.6 1414 11 4 1 70 1.6 1172 11 4 2 73 1.5 744 11 4 3 72 1.6 933 11 4 4 68 2.0 1038 11 4 5 77 1.6 747 11 4 6 67 1.6 847 11 4 7 68 1.7 1010 11 4 8 73 1.5 1207 11 4 9 79 1.6 866 11 4 10 71 1.6 689 11 4 11 70 1.5 1499 12 1 1 82 1.3 1552 12 1 2 80 1.4 1778 12 1 3 82 1.2 1344 12 1 4 80 1.4 1902 12 1 5 75 1.4 1813 12 1 6 78 1.1 1684 12 1 7 76 1.3 1332 12 1 8 83 1.3 1485 12 1 9 81 1.2 1433 12 1 10 81 1.1 1213 12 1 11 79 1.2 1183 12 2 1 72 1.3 1294 12 2 2 82 1.2 1502 12 2 3 82 1.5 1617 12 2 4 83 1.3 1558 12 2 5 78 1.2 1585 12 2 6 76 1.2 1406 12 2 7 80 1.3 1367 12 2 8 81 1.2 1234 12 2 9 80 1.2 1197 12 2 10 77 1.4 2064 12 2 11 78 1.3 1548 12 3 1 80 1.3 1784 12 3 2 80 1.4 2140 12 3 3 77 1.2 1666 12 3 4 82 1.3 1630 12 3 5 75 1.4 1616 12 3 6 83 1.3 1490 12 3 7 85 1.1 1315 12 3 8 85 1.1 1271 12 3 9 84 1.1 1262 12 3 10 82 1.2 1980 12 3 11 75 1.4 1616 12 4 1 75 1.2 1619 12 4 2 81 1.3 1591 12 4 3 77 1.5 1633 12 4 4 79 1.3 1451 12 4 5 81 1.3 1652 12 4 6 83 1.2 1464 12 4 7 81 1.2 1815 12 4 8 80 1.4 1572 12 4 9 81 1.4 1679 12 4 10 80 1.3 1867 12 4 11 80 1.1 1143