Alguém pode me dizer como eu monto a tabela de desdobramento de interação?A saída foi essa modelo3<-aov(burst~tratamento+tempo+tratamento*tempo)> summary(modelo3) Df Sum Sq Mean Sq F value Pr(>F) tratamento 3 0.0020 0.00066 0.054 0.9833 tempo 2 0.3517 0.17586 14.386 4.81e-06 *** tratamento:tempo 6 0.1968 0.03280 2.683 0.0202 * Residuals 78 0.9535 0.01222 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 20 observations deleted due to missingness medias<-model.tables(model4,"means",cterms = "tratamento")

medias Tables of means Grand mean

0.3885556 tratamento T1 T2 T3 T4 0.3845 0.3881 0.3965 0.3852 rep 22.0000 24.0000 22.0000 22.0000 model5<-aov(burst~tratamento+tempo+tratamento:tempo)

medias <-model.tables(model5,"means",cterms = "tempo") medias Tables of means Grand mean

0.3885556 tempo 0 3 6 0.4316 0.4248 0.2907 rep 33.0000 31.0000 26.0000 model6<-aov(burst~tratamento+tempo+tratamento:tempo)

medias<-model.tables(model6,"means",cterms = "tratamento:tempo") medias Tables of means Grand mean

0.3885556 tratamento:tempo tempo tratamento 0 3 6 T1 0.432 0.422 0.294 rep 7.000 8.000 7.000 T2 0.410 0.403 0.341 rep 10.000 7.000 7.000 T3 0.518 0.370 0.270 rep 8.000 8.000 6.000 T4 0.372 0.501 0.249 rep 8.000 8.000 6.000 TukeyHSD(model4,"tratamento") Tukey multiple comparisons of means 95% family-wise confidence level Fit: aov(formula = burst ~ tratamento + tempo + tratamento:tempo) $tratamento diff lwr upr p adj T2-T1 0.0035833333 -0.08209100 0.08925766 0.9995222 T3-T1 0.0119545455 -0.07556246 0.09947155 0.9840895 T4-T1 0.0007272727 -0.08678973 0.08824427 0.9999962 T3-T2 0.0083712121 -0.07730312 0.09404554 0.9940338 T4-T2 -0.0028560606 -0.08853039 0.08281827 0.9997577 T4-T3 -0.0112272727 -0.09874427 0.07628973 0.9867430 TukeyHSD(model5,"tempo") Tukey multiple comparisons of means 95% family-wise confidence level Fit: aov(formula = burst ~ tratamento + tempo + tratamento:tempo) $tempo diff lwr upr p adj 3-0 -0.006810191 -0.07288363 0.05926324 0.9671358 6-0 -0.140958351 -0.21023025 -0.07168645 0.0000175 6-3 -0.134148160 -0.20439788 -0.06389844 0.0000546

TukeyHSD(model6,"tratamento:tempo") Tukey multiple comparisons of means 95% family-wise confidence level

Fit: aov(formula = burst ~ tratamento + tempo + tratamento:tempo) $`tratamento:tempo` diff lwr upr p adj T2:0-T1:0 -0.021357143 -0.20493664 0.16222236 0.9999998 T3:0-T1:0 0.086392857 -0.10640418 0.27918989 0.9334458 T4:0-T1:0 -0.060232143 -0.25302918 0.13256489 0.9957673 T1:3-T1:0 -0.009357143 -0.20215418 0.18343989 1.0000000 T2:3-T1:0 -0.028428571 -0.22754850 0.17069135 0.9999979 T3:3-T1:0 -0.062232143 -0.25502918 0.13056489 0.9944118 T4:3-T1:0 0.069267857 -0.12352918 0.26206489 0.9865875 T1:6-T1:0 -0.138142857 -0.33726278 0.06097707 0.4599804 T2:6-T1:0 -0.091142857 -0.29026278 0.10797707 0.9236524 T3:6-T1:0 -0.162023810 -0.36927440 0.04522678 0.2795024 T4:6-T1:0 -0.183023810 -0.39027440 0.02422678 0.1359708 T3:0-T2:0 0.107750000 -0.06895140 0.28445140 0.6553978 T4:0-T2:0 -0.038875000 -0.21557640 0.13782640 0.9998325 T1:3-T2:0 0.012000000 -0.16470140 0.18870140 1.0000000 T2:3-T2:0 -0.007071429 -0.19065093 0.17650807 1.0000000 T3:3-T2:0 -0.040875000 -0.21757640 0.13582640 0.9997280 T4:3-T2:0 0.090625000 -0.08607640 0.26732640 0.8496727 T1:6-T2:0 -0.116785714 -0.30036521 0.06679378 0.5941646 T2:6-T2:0 -0.069785714 -0.25336521 0.11379378 0.9792305 T3:6-T2:0 -0.140666667 -0.33303479 0.05170146 0.3778522 T4:6-T2:0 -0.161666667 -0.35403479 0.03070146 0.1875552 T4:0-T3:0 -0.146625000 -0.33288463 0.03963463 0.2699473 T1:3-T3:0 -0.095750000 -0.28200963 0.09050963 0.8477318 T2:3-T3:0 -0.114821429 -0.30761847 0.07797561 0.6875834 T3:3-T3:0 -0.148625000 -0.33488463 0.03763463 0.2516698 T4:3-T3:0 -0.017125000 -0.20338463 0.16913463 1.0000000 T1:6-T3:0 -0.224535714 -0.41733275 -0.03173868 0.0095108 T2:6-T3:0 -0.177535714 -0.37033275 0.01526132 0.1002695 T3:6-T3:0 -0.248416667 -0.44960006 -0.04723327 0.0043573 T4:6-T3:0 -0.269416667 -0.47060006 -0.06823327 0.0012754 T1:3-T4:0 0.050875000 -0.13538463 0.23713463 0.9987106 T2:3-T4:0 0.031803571 -0.16099347 0.22460061 0.9999907 T3:3-T4:0 -0.002000000 -0.18825963 0.18425963 1.0000000 T4:3-T4:0 0.129500000 -0.05675963 0.31575963 0.4565814 T1:6-T4:0 -0.077910714 -0.27070775 0.11488632 0.9673298 T2:6-T4:0 -0.030910714 -0.22370775 0.16188632 0.9999930 T3:6-T4:0 -0.101791667 -0.30297506 0.09939173 0.8606043 T4:6-T4:0 -0.122791667 -0.32397506 0.07839173 0.6541132 T2:3-T1:3 -0.019071429 -0.21186847 0.17372561 1.0000000 T3:3-T1:3 -0.052875000 -0.23913463 0.13338463 0.9981734 T4:3-T1:3 0.078625000 -0.10763463 0.26488463 0.9555010 T1:6-T1:3 -0.128785714 -0.32158275 0.06401132 0.5194542 T2:6-T1:3 -0.081785714 -0.27458275 0.11101132 0.9539596 T3:6-T1:3 -0.152666667 -0.35385006 0.04851673 0.3220981 T4:6-T1:3 -0.173666667 -0.37485006 0.02751673 0.1584271 T3:3-T2:3 -0.033803571 -0.22660061 0.15899347 0.9999826 T4:3-T2:3 0.097696429 -0.09510061 0.29049347 0.8594125 T1:6-T2:3 -0.109714286 -0.30883421 0.08940564 0.7814023 T2:6-T2:3 -0.062714286 -0.26183421 0.13640564 0.9954629 T3:6-T2:3 -0.133595238 -0.34084583 0.07365535 0.5743224 T4:6-T2:3 -0.154595238 -0.36184583 0.05265535 0.3475958 T4:3-T3:3 0.131500000 -0.05475963 0.31775963 0.4324767 T1:6-T3:3 -0.075910714 -0.26870775 0.11688632 0.9729806 T2:6-T3:3 -0.028910714 -0.22170775 0.16388632 0.9999965 T3:6-T3:3 -0.099791667 -0.30097506 0.10139173 0.8755146 T4:6-T3:3 -0.120791667 -0.32197506 0.08039173 0.6767045 T1:6-T4:3 -0.207410714 -0.40020775 -0.01461368 0.0240599 T2:6-T4:3 -0.160410714 -0.35320775 0.03238632 0.1991828 T3:6-T4:3 -0.231291667 -0.43247506 -0.03010827 0.0111757 T4:6-T4:3 -0.252291667 -0.45347506 -0.05110827 0.0034935 T2:6-T1:6 0.047000000 -0.15211992 0.24611992 0.9996700 T3:6-T1:6 -0.023880952 -0.23113154 0.18336964 0.9999998 T4:6-T1:6 -0.044880952 -0.25213154 0.16236964 0.9998565 T3:6-T2:6 -0.070880952 -0.27813154 0.13636964 0.9909705 T4:6-T2:6 -0.091880952 -0.29913154 0.11536964 0.9379661 T4:6-T3:6 -0.021000000 -0.23607410 0.19407410 1.0000000  Fúlvia Cristina Oliveira Bióloga - UFMS  Mestranda no Programa de Pós-Graduação em ZootecniaProdução animal no Cerrado-Pantanal Universidade Estadual de Mato Grosso do Sul - UEMS Unidade Universitária de Aquidauana - UUA(67) 99610-2812(11) 99538-4088fulcris@yahoo.com.br