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Commit e0a3ec54 authored by Bruna Wundervald's avatar Bruna Wundervald
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Adiciona os arquivos .txt das tabelas 5.2, 5.11, 12.26 e 12.27 do Zimmermann

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data-raw/ZimmermannTb12.26.txt 0 → 100644
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linha coluna prod cult
1 1 55 Canastra
2 1 52 Bonança
3 1 21 CNAs8989
4 1 30 CNAs8957
5 1 77 CNA8540
6 1 38 CNAs8818
1 2 33 CNA8540
2 2 19 CNAs8818
3 2 55 Bonança
4 2 40 Canastra
5 2 21 CNAs8957
6 2 44 CNAs8989
1 3 77 Bonança
2 3 37 CNAs8957
3 3 49 CNA8540
4 3 21 CNAs8989
5 3 75 CNAs8818
6 3 70 Canastra
1 4 20 CNAs8818
2 4 64 Canastra
3 4 53 CNAs8957
4 4 55 Bonança
5 4 12 CNAs8989
6 4 30 CNA8540
1 5 64 CNAs8989
2 5 44 CNA8540
3 5 48 Canastra
4 5 34 CNAs8818
5 5 62 Bonança
6 5 63 CNAs8957
1 6 52 CNAs8957
2 6 39 CNAs8989
3 6 25 CNAs8818
4 6 50 CNA8540
5 6 71 Canastra
6 6 17 Bonança
data-raw/ZimmermannTb12.27.txt 0 → 100644
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linha coluna prod cult
1 1 79 Bonança
2 1 53 CNAs8952
3 1 27 CNAs8960
4 1 30 CNAs8938
5 1 31 CNAs8711
6 1 39 CNAs8817
1 2 44 CNAs8938
2 2 71 CNAs8960
3 2 88 Bonança
4 2 66 CNAs8711
5 2 48 CNAs8817
6 2 58 CNAs8952
1 3 67 CNAs8817
2 3 67 CNAs8938
3 3 39 CNAs8711
4 3 58 CNAs8952
5 3 10 CNAs8960
6 3 90 Bonança
1 4 20 CNAs8711
2 4 98 Bonança
3 4 55 CNAs8938
4 4 49 CNAs8817
5 4 10 CNAs8952
6 4 33 CNAs8960
1 5 83 CNAs8952
2 5 19 CNAs8711
3 5 66 CNAs8817
4 5 12 CNAs8960
5 5 62 Bonança
6 5 79 CNAs8938
1 6 30 CNAs8960
2 6 50 CNAs8817
3 6 67 CNAs8952
4 6 36 Bonança
5 6 52 CNAs8938
6 6 43 CNAs8711
data-raw/ZimmermannTb5.11.txt 0 → 100644
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linha coluna amostra prop parcela
1 1 1 0.9 2
2 1 1 0.7368 6
3 1 1 0.9184 3
4 1 1 1 7
5 1 1 0.8621 4
6 1 1 0.88 11
7 1 1 0.77 10
8 1 1 775 5
9 1 1 0.9091 1
10 1 1 0.9474 8
11 1 1 0.92 9
1 2 1 913 11
2 2 1 0.9524 3
3 2 1 875 8
4 2 1 1 9
5 2 1 0.8525 1
6 2 1 1 7
7 2 1 0.8525 6
8 2 1 0.9273 4
9 2 1 0.8 5
10 2 1 0.8974 2
11 2 1 0.7647 10
1 3 1 873 10
2 3 1 0.9821 11
3 3 1 0.8182 1
4 3 1 1 2
5 3 1 0.8793 6
6 3 1 0.8298 5
7 3 1 0.94 9
8 3 1 0.9167 8
9 3 1 1 7
10 3 1 0.8615 4
11 3 1 1 3
1 4 1 0.9394 9
2 4 1 0.9744 5
3 4 1 0.7273 6
4 4 1 0.9867 3
5 4 1 0.9524 11
6 4 1 0.9667 4
7 4 1 0.8293 1
8 4 1 0.9846 2
9 4 1 0.8421 8
10 4 1 0.7813 10
11 4 1 0.9318 7
1 5 1 0.8929 5
2 5 1 0.9375 8
3 5 1 0.9 9
4 5 1 0.9556 6
5 5 1 0.9811 10
6 5 1 0.8421 2
7 5 1 0.9123 11
8 5 1 0.9583 7
9 5 1 0.8824 4
10 5 1 0.8983 3
11 5 1 0.9615 1
1 6 1 0.9149 4
2 6 1 0.9362 2
3 6 1 0.925 10
4 6 1 0.9841 11
5 6 1 0.8971 8
6 6 1 0.8364 1
7 6 1 0.9189 7
8 6 1 0.9605 3
9 6 1 1 9
10 6 1 0.9048 5
11 6 1 0.7059 6
1 7 1 0.8571 6
2 7 1 0.9556 10
3 7 1 0.9483 11
4 7 1 0.939 5
5 7 1 0.8677 2
6 7 1 0.9048 9
7 7 1 0.9811 8
8 7 1 0.9643 1
9 7 1 0.9677 3
10 7 1 0.8793 7
11 7 1 0.9344 4
1 8 1 0.9783 8
2 8 1 962 9
3 8 1 0.8929 2
4 8 1 1 4
5 8 1 0.8571 7
6 8 1 0.8571 6
7 8 1 0.9867 3
8 8 1 0.963 10
9 8 1 0.9722 11
10 8 1 0.7931 1
11 8 1 0.6889 5
1 9 1 0.8 7
2 9 1 0.9219 1
3 9 1 0.8269 5
4 9 1 0.8824 8
5 9 1 1 3
6 9 1 0.8781 10
7 9 1 0.9702 4
8 9 1 0.913 11
9 9 1 0.7586 6
10 9 1 0.8889 9
11 9 1 0.8 2
1 10 1 0.8387 3
2 10 1 0.9531 4
3 10 1 1 7
4 10 1 0.9846 1
5 10 1 0.9039 5
6 10 1 0.9375 8
7 10 1 0.8478 2
8 10 1 0.9583 9
9 10 1 0.9231 10
10 10 1 0.8 6
11 10 1 1 11
1 11 1 0.75 1
2 11 1 0.931 7
3 11 1 0.9825 4
4 11 1 0.9057 10
5 11 1 0.95 9
6 11 1 0.9857 3
7 11 1 0.8864 5
8 11 1 0.8571 6
9 11 1 0.9048 2
10 11 1 0.913 11
11 11 1 1 8
1 1 2 0.88 2
2 1 2 0.6757 6
3 1 2 0.94 3
4 1 2 1 7
5 1 2 0.9111 4
6 1 2 0.8824 11
7 1 2 0.64 10
8 1 2 0.9091 5
9 1 2 1 1
10 1 2 0.9524 8
11 1 2 1 9
1 2 2 0.9024 11
2 2 2 0.9863 3
3 2 2 0.7593 8
4 2 2 1 9
5 2 2 0.8889 1
6 2 2 1 7
7 2 2 0.8333 6
8 2 2 0.9524 4
9 2 2 0.9556 5
10 2 2 0.8636 2
11 2 2 0.75 10
1 3 2 1 10
2 3 2 1 11
3 3 2 0.8621 1
4 3 2 0.9756 2
5 3 2 0.9348 6
6 3 2 0.8853 5
7 3 2 0.8636 9
8 3 2 0.8393 8
9 3 2 0.9556 7
10 3 2 0.9107 4
11 3 2 0.8983 3
1 4 2 1 9
2 4 2 0.8889 5
3 4 2 0.7381 6
4 4 2 1 3
5 4 2 0.9487 11
6 4 2 0.9857 4
7 4 2 0.9697 1
8 4 2 0.9265 2
9 4 2 0.8846 8
10 4 2 0.8421 10
11 4 2 0.9841 7
1 5 2 0.7111 5
2 5 2 0.7105 8
3 5 2 0.9778 9
4 5 2 0.8824 6
5 5 2 0.8611 10
6 5 2 0.8281 2
7 5 2 0.9167 11
8 5 2 0.9508 7
9 5 2 0.8824 4
10 5 2 0.85 3
11 5 2 0.76 1
1 6 2 0.8649 4
2 6 2 0.9383 2
3 6 2 0.9394 10
4 6 2 0.9821 11
5 6 2 1 8
6 6 2 0.8871 1
7 6 2 0.8667 7
8 6 2 0.9516 3
9 6 2 0.973 9
10 6 2 0.9091 5
11 6 2 0.7222 6
1 7 2 0.8929 6
2 7 2 0.8571 10
3 7 2 0.9756 11
4 7 2 0.8986 5
5 7 2 0.9643 2
6 7 2 0.9444 9
7 7 2 0.9592 8
8 7 2 0.913 1
9 7 2 1 3
10 7 2 0.7692 7
11 7 2 1 4
1 8 2 0.9524 8
2 8 2 0.9677 9
3 8 2 0.9778 2
4 8 2 0.9211 4
5 8 2 0.9492 7
6 8 2 0.7955 6
7 8 2 0.7353 3
8 8 2 0.8889 10
9 8 2 0.9032 11
10 8 2 0.8594 1
11 8 2 0.8 5
1 9 2 0.7097 7
2 9 2 0.6364 1
3 9 2 0.8621 5
4 9 2 0.8793 8
5 9 2 0.9608 3
6 9 2 0.8182 10
7 9 2 0.9032 4
8 9 2 1 11
9 9 2 0.8261 6
10 9 2 0.8409 9
11 9 2 1 2
1 10 2 0.9063 3
2 10 2 0.9054 4
3 10 2 0.963 7
4 10 2 0.9296 1
5 10 2 0.9787 5
6 10 2 1 8
7 10 2 0.8462 2
8 10 2 0.946 9
9 10 2 1 10
10 10 2 875 6
11 10 2 0.8387 11
1 11 2 0.7059 1
2 11 2 0.913 7
3 11 2 0.9216 4
4 11 2 0.8718 10
5 11 2 0.9706 9
6 11 2 0.8853 3
7 11 2 0.9737 5
8 11 2 0.7391 6
9 11 2 0.9722 2
10 11 2 0.9231 11
11 11 2 0.9615 8
1 1 3 0.9032 2
2 1 3 0.64 6
3 1 3 0.9804 3
4 1 3 0.8788 7
5 1 3 0.8472 4
6 1 3 0.9118 11
7 1 3 0.8182 10
8 1 3 0.8333 5
9 1 3 0.9535 1
10 1 3 0.9787 8
11 1 3 0.7931 9
1 2 3 0.8333 11
2 2 3 0.9875 3
3 2 3 0.9444 8
4 2 3 0.9375 9
5 2 3 0.9057 1
6 2 3 0.9677 7
7 2 3 0.8235 6
8 2 3 0.9492 4
9 2 3 0.9333 5
10 2 3 0.8889 2
11 2 3 0.9333 10
1 3 3 0.7188 10
2 3 3 0.9702 11
3 3 3 0.8542 1
4 3 3 1 2
5 3 3 0.8537 6
6 3 3 0.9149 5
7 3 3 0.942 9
8 3 3 0.9722 8
9 3 3 0.9298 7
10 3 3 0.9756 4
11 3 3 0.9091 3
1 4 3 0.8983 9
2 4 3 0.9434 5
3 4 3 0.7759 6
4 4 3 0.9811 3
5 4 3 1 11
6 4 3 0.9868 4
7 4 3 1 1
8 4 3 0.92 2
9 4 3 0.8947 8
10 4 3 0.9143 10
11 4 3 0.9388 7
1 5 3 0.8361 5
2 5 3 0.918 8
3 5 3 0.9467 9
4 5 3 0.6154 6
5 5 3 0.9615 10
6 5 3 0.9403 2
7 5 3 0.9057 11
8 5 3 0.9348 7
9 5 3 0.9808 4
10 5 3 0.8667 3
11 5 3 0.9434 1
1 6 3 0.9365 4
2 6 3 0.8955 2
3 6 3 0.8462 10
4 6 3 0.9737 11
5 6 3 0.9138 8
6 6 3 0.8431 1
7 6 3 0.7872 7
8 6 3 0.8833 3
9 6 3 1 9
10 6 3 0.7959 5
11 6 3 0.9575 6
1 7 3 0.25 6
2 7 3 0.8421 10
3 7 3 0.9787 11
4 7 3 0.975 5
5 7 3 0.9474 2
6 7 3 0.9859 9
7 7 3 0.9623 8
8 7 3 0.7931 1
9 7 3 0.9697 3
10 7 3 0.6818 7
11 7 3 0.9818 4
1 8 3 0.8158 8
2 8 3 0.9546 9
3 8 3 0.9677 2
4 8 3 0.9298 4
5 8 3 0.9583 7
6 8 3 0.9688 6
7 8 3 0.7857 3
8 8 3 1 10
9 8 3 0.9815 11
10 8 3 625 1
11 8 3 0.7679 5
1 9 3 0.9388 7
2 9 3 0.9091 1
3 9 3 0.8254 5
4 9 3 0.7647 8
5 9 3 0.9091 3
6 9 3 0.8611 10
7 9 3 0.9333 4
8 9 3 0.9744 11
9 9 3 0.8511 6
10 9 3 0.925 9
11 9 3 0.7679 2
1 10 3 0.8571 3
2 10 3 0.9623 4
3 10 3 0.9556 7
4 10 3 0.8548 1
5 10 3 0.7755 5
6 10 3 0.8571 8
7 10 3 0.8966 2
8 10 3 1 9
9 10 3 0.9706 10
10 10 3 0.8824 6
11 10 3 0.8085 11
1 11 3 0.65 1
2 11 3 1 7
3 11 3 0.9702 4
4 11 3 0.9231 10
5 11 3 0.95 9
6 11 3 0.9286 3
7 11 3 0.9583 5
8 11 3 1 6
9 11 3 0.8254 2
10 11 3 0.7308 11
11 11 3 0.9184 8
1 1 4 0.875 2
2 1 4 0.7895 6
3 1 4 0.9828 3
4 1 4 0.875 7
5 1 4 0.8085 4
6 1 4 0.8409 11
7 1 4 0.7037 10
8 1 4 0.8571 5
9 1 4 0.9546 1
10 1 4 1 8
11 1 4 1 9
1 2 4 0.7778 11
2 2 4 0.9259 3
3 2 4 0.9767 8
4 2 4 0.7917 9
5 2 4 0.9231 1
6 2 4 0.9672 7
7 2 4 0.8 6
8 2 4 0.9851 4
9 2 4 0.871 5
10 2 4 0.9524 2
11 2 4 0.4375 10
1 3 4 0.8846 10
2 3 4 0.9167 11
3 3 4 0.9804 1
4 3 4 1 2
5 3 4 0.963 6
6 3 4 0.8571 5
7 3 4 0.9259 9
8 3 4 0.946 8
9 3 4 0.8833 7
10 3 4 0.7761 4
11 3 4 0.9091 3
1 4 4 0.8966 9
2 4 4 0.8226 5
3 4 4 0.9245 6
4 4 4 0.9722 3
5 4 4 0.9592 11
6 4 4 0.9683 4
7 4 4 0.9565 1
8 4 4 0.9167 2
9 4 4 0.9474 8
10 4 4 0.8214 10
11 4 4 0.8039 7
1 5 4 0.8 5
2 5 4 0.9298 8
3 5 4 1 9
4 5 4 0.9778 6
5 5 4 1 10
6 5 4 0.9136 2
7 5 4 0.9091 11
8 5 4 0.9167 7
9 5 4 0.9016 4
10 5 4 0.6613 3
11 5 4 0.8387 1
1 6 4 0.9667 4
2 6 4 0.8919 2
3 6 4 0.9706 10
4 6 4 0.9231 11
5 6 4 0.9286 8
6 6 4 0.9778 1
7 6 4 0.9531 7
8 6 4 0.9667 3
9 6 4 0.9825 9
10 6 4 0.8936 5
11 6 4 0.7167 6
1 7 4 0.6667 6
2 7 4 0.9057 10
3 7 4 0.9184 11
4 7 4 0.92 5
5 7 4 0.9302 2
6 7 4 0.9355 9
7 7 4 0.9362 8
8 7 4 0.9348 1
9 7 4 0.8163 3
10 7 4 0.8289 7
11 7 4 0.8636 4
1 8 4 0.5714 8
2 8 4 1 9
3 8 4 0.9589 2
4 8 4 0.9891 4
5 8 4 0.9846 7
6 8 4 0.907 6
7 8 4 0.9677 3
8 8 4 0.9268 10
9 8 4 0.902 11
10 8 4 0.9722 1
11 8 4 0.7174 5
1 9 4 0.7941 7
2 9 4 0.7344 1
3 9 4 0.8781 5
4 9 4 0.9048 8
5 9 4 0.9718 3
6 9 4 0.946 10
7 9 4 0.76 4
8 9 4 0.8857 11
9 9 4 0.9655 6
10 9 4 0.7674 9
11 9 4 0.7636 2
1 10 4 0.6071 3
2 10 4 0.9114 4
3 10 4 0.9524 7
4 10 4 0.9841 1
5 10 4 0.9737 5
6 10 4 0.9661 8
7 10 4 0.92 2
8 10 4 0.9365 9
9 10 4 0.72 10
10 10 4 0.8261 6
11 10 4 1 11
1 11 4 0.3529 1
2 11 4 0.8491 7
3 11 4 0.9273 4
4 11 4 0.8889 10
5 11 4 0.9697 9
6 11 4 0.9575 3
7 11 4 0.9375 5
8 11 4 0.8462 6
9 11 4 0.9016 2
10 11 4 0.8929 11
11 11 4 0.881 8
data-raw/ZimmermannTb5.2.txt 0 → 100644
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linha coluna prod geno
2 1 618.75 B
3 1 1176.25 C
4 1 852.5 D
5 1 700 E
6 1 1003.75 F
7 1 1395 G
8 1 1991.3 H
1 2 1481.25 D
2 2 1251.25 E
3 2 1742.5 F
4 2 1680 G
5 2 1897.5 H
6 2 1726.25 A
7 2 313.75 B
8 2 1427.5 C
1 3 586.25 G
2 3 822.5 H
3 3 748.75 A
4 3 317.5 B
5 3 1096.25 C
6 3 2148.75 D
7 3 1543.75 E
8 3 936.25 F
1 4 708.75 C
2 4 846.25 D
3 4 716.25 E
4 4 1038.75 F
5 4 945 G
6 4 855 H
7 4 1421.25 A
8 4 307.5 B
1 5 1193.75 F
2 5 1051.25 G
3 5 952.5 H
4 5 1326.25 A
5 5 216.25 B
6 5 487.5 C
7 5 1627.5 D
8 5 1202.5 E
1 6 825 E
2 6 1070 F
3 6 1470 G
4 6 1250 H
5 6 1767.5 A
6 6 237.5 B
7 6 1367.5 C
8 6 1395 D
1 7 1856.25 H
2 7 1126.25 A
3 7 377.5 B
4 7 962.5 C
5 7 1682.5 D
6 7 1198.75 E
7 7 1283.75 F
8 7 995 G
1 8 697.5 B
2 8 1301.25 C
3 8 1162.5 D
4 8 738.75 E
5 8 1416.25 F
6 8 1498.75 G
7 8 1728.75 H
8 8 1335 A
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