t1 > friedman.test(scores ~ diet | colony, data=acceptance_t1) Friedman rank sum test data: scores and diet and colony Friedman chi-squared = 9, df = 3, p-value = 0.02929 [1] "The results where not significant, There is no need for a post hoc test" Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.4495, p-value = 0.06846 alternative hypothesis: two.sided t2 > friedman.test(scores ~ diet | colony, data=acceptance_t2) Friedman rank sum test data: scores and diet and colony Friedman chi-squared = 9, df = 3, p-value = 0.02929 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t2, T, T, F, F, 0.05) [1] "The results where not significant, There is no need for a post hoc test" Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.4495, p-value = 0.06798 alternative hypothesis: two.sided t3 > friedman.test(scores ~ diet | colony, data=acceptance_t3) Friedman rank sum test data: scores and diet and colony Friedman chi-squared = 14.39, df = 3, p-value = 0.00242 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t3, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.2697, p-value = 0.005998 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.005790288 gen - alt 0.034808017 leaves - alt 0.859386762 gen - fruits 0.942795134 leaves - fruits 0.063009125 leaves - gen 0.220899605 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.2697, p-value = 0.005767 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.005790288 gen - alt 0.034808017 leaves - alt 0.859386762 gen - fruits 0.942795134 leaves - fruits 0.063009125 leaves - gen 0.220899605 t4 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t4, T, T, F, F, 0.05) Error in checkmvArgs(lower = lower, upper = upper, mean = mean, corr = corr, : ‘lower’ not specified or contains NA Além disso: Mensagens de aviso: 1: In .local(.Object, ...) : The conditional covariance matrix has zero diagonal elements 2: In cov2cor(covariance(object, partial = FALSE)) : diag(V) had non-positive or NA entries; the non-finite result may be dubious > friedman.test(scores ~ diet | colony, data=acceptance_t4) Friedman rank sum test data: scores and diet and colony Friedman chi-squared = NaN, df = 3, p-value = NA t5 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t5, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.2118, p-value = 0.007518 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.007437441 gen - alt 0.056210398 leaves - alt 0.901629760 gen - fruits 0.901629760 leaves - fruits 0.056210398 leaves - gen 0.256655577 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.2118, p-value = 0.007379 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.007437441 gen - alt 0.056210398 leaves - alt 0.901629760 gen - fruits 0.901629760 leaves - fruits 0.056210398 leaves - gen 0.256655577 t6 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t6, T, T, F, F, 0.05) [1] "The results where not significant, There is no need for a post hoc test" Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 1.5652, p-value = 0.3986 alternative hypothesis: two.sided t7 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t7, T, T, F, F, 0.05) [1] "The results where not significant, There is no need for a post hoc test" Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 1, p-value = 0.7494 alternative hypothesis: two.sided t8 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t8, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.8284, p-value = 0.02424 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 1.00000000 gen - alt 0.02423093 leaves - alt 1.00000000 gen - fruits 0.02423093 leaves - fruits 1.00000000 leaves - gen 0.02423093 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.8284, p-value = 0.02398 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 1.00000000 gen - alt 0.02423093 leaves - alt 1.00000000 gen - fruits 0.02423093 leaves - fruits 1.00000000 leaves - gen 0.02423093 t9 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t9, T, T, F, F, 0.05) [1] "The results where not significant, There is no need for a post hoc test" Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 1.4142, p-value = 0.4904 alternative hypothesis: two.sided t10 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t10, T, T, F, F, 0.05) [1] "The results where not significant, There is no need for a post hoc test" Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 1.4142, p-value = 0.4904 alternative hypothesis: two.sided t11 > acceptance_t11 <- read.delim("C:/Users/Usuario/Desktop/Doutorado/Manuscrito_Dieta/Scores_Data/Acceptance/acceptance_t11.txt") > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t11, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.7439, p-value = 0.0009538 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.0009908389 gen - alt 0.9802684837 leaves - alt 1.0000000000 gen - fruits 0.0046548614 leaves - fruits 0.0009908389 leaves - gen 0.9802684837 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.7439, p-value = 0.001106 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.0009908389 gen - alt 0.9802684837 leaves - alt 1.0000000000 gen - fruits 0.0046548614 leaves - fruits 0.0009908389 leaves - gen 0.9802684837 t12 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t12, T, T, F, F, 0.05) [1] "The results where not significant, There is no need for a post hoc test" Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.1213, p-value = 0.1462 alternative hypothesis: two.sided t13 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t13, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.2275, p-value = 0.007151 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.006884952 gen - alt 0.802874179 leaves - alt 1.000000000 gen - fruits 0.092692185 leaves - fruits 0.006884952 leaves - gen 0.802874179 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.2275, p-value = 0.006847 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.006884952 gen - alt 0.802874179 leaves - alt 1.000000000 gen - fruits 0.092692185 leaves - fruits 0.006884952 leaves - gen 0.802874179 t14 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t14, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.4641, p-value = 0.003209 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.003063991 gen - alt 1.000000000 leaves - alt 1.000000000 gen - fruits 0.003063991 leaves - fruits 0.003063991 leaves - gen 1.000000000 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.4641, p-value = 0.00294 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.003063991 gen - alt 1.000000000 leaves - alt 1.000000000 gen - fruits 0.003063991 leaves - fruits 0.003063991 leaves - gen 1.000000000 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t15, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.4641, p-value = 0.002966 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.002830858 gen - alt 1.000000000 leaves - alt 1.000000000 gen - fruits 0.002830858 leaves - fruits 0.002830858 leaves - gen 1.000000000 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.4641, p-value = 0.002929 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.002830858 gen - alt 1.000000000 leaves - alt 1.000000000 gen - fruits 0.002830858 leaves - fruits 0.002830858 leaves - gen 1.000000000 t16 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t16, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.4641, p-value = 0.002854 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.002940928 gen - alt 1.000000000 leaves - alt 1.000000000 gen - fruits 0.002940928 leaves - fruits 0.002940928 leaves - gen 1.000000000 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.4641, p-value = 0.003301 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.002940928 gen - alt 1.000000000 leaves - alt 1.000000000 gen - fruits 0.002940928 leaves - fruits 0.002940928 leaves - gen 1.000000000 t17 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t17, T, T, F, F, 0.05)$Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.8868, p-value = 0.02036 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.02065900 gen - alt 0.93889732 leaves - alt 1.00000000 gen - fruits 0.09578068 leaves - fruits 0.02065900 leaves - gen 0.93889732 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.8868, p-value = 0.01991 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.02065900 gen - alt 0.93889732 leaves - alt 1.00000000 gen - fruits 0.09578068 leaves - fruits 0.02065900 leaves - gen 0.93889732 t18 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t18, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.1108, p-value = 0.009834 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.009754445 gen - alt 0.615843572 leaves - alt 1.000000000 gen - fruits 0.230814472 leaves - fruits 0.009754445 leaves - gen 0.615843572 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.1108, p-value = 0.009836 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.009754445 gen - alt 0.615843572 leaves - alt 1.000000000 gen - fruits 0.230814472 leaves - fruits 0.009754445 leaves - gen 0.615843572 t19 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t19, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.6348, p-value = 0.04152 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.04157978 gen - alt 0.59615531 leaves - alt 1.00000000 gen - fruits 0.50766384 leaves - fruits 0.04157978 leaves - gen 0.59615531 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.6348, p-value = 0.04181 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.04157978 gen - alt 0.59615531 leaves - alt 1.00000000 gen - fruits 0.50766384 leaves - fruits 0.04157978 leaves - gen 0.59615531 t20 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t20, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.6348, p-value = 0.04172 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.0423022 gen - alt 0.5961369 leaves - alt 1.0000000 gen - fruits 0.5076545 leaves - fruits 0.0423022 leaves - gen 0.5961369 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.6348, p-value = 0.04194 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.0423022 gen - alt 0.5961369 leaves - alt 1.0000000 gen - fruits 0.5076545 leaves - fruits 0.0423022 leaves - gen 0.5961369 t21 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t21, T, T, F, F, 0.05) [1] "The results where not significant, There is no need for a post hoc test" Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.5, p-value = 0.06036 alternative hypothesis: two.sided t22 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t22, T, T, F, F, 0.05) [1] "The results where not significant, There is no need for a post hoc test" Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.5, p-value = 0.05998 alternative hypothesis: two.sided t23 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t23, T, T, F, F, 0.05) [1] "The results where not significant, There is no need for a post hoc test" Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.5, p-value = 0.06012 alternative hypothesis: two.sided t24 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t24, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.8284, p-value = 0.024 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 1.00000000 gen - alt 0.02411932 leaves - alt 1.00000000 gen - fruits 0.02411932 leaves - fruits 1.00000000 leaves - gen 0.02411932 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.8284, p-value = 0.02434 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 1.00000000 gen - alt 0.02411932 leaves - alt 1.00000000 gen - fruits 0.02411932 leaves - fruits 1.00000000 leaves - gen 0.02411932 t25 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t25, T, T, F, F, 0.05) [1] "The results where not significant, There is no need for a post hoc test" Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.4495, p-value = 0.06836 alternative hypothesis: two.sided t26 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t26, T, T, F, F, 0.05) [1] "The results where not significant, There is no need for a post hoc test" Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 1, p-value = 0.7494 alternative hypothesis: two.sided t27 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t27, T, T, F, F, 0.05) [1] "The results where not significant, There is no need for a post hoc test" Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 1.4142, p-value = 0.4904 alternative hypothesis: two.sided t28 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t28, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.9704, p-value = 0.0158 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.01597553 gen - alt 0.63433550 leaves - alt 1.00000000 gen - fruits 0.28185772 leaves - fruits 0.01597553 leaves - gen 0.63433550 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.9704, p-value = 0.01588 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.01597553 gen - alt 0.63433550 leaves - alt 1.00000000 gen - fruits 0.28185772 leaves - fruits 0.01597553 leaves - gen 0.63433550 t29 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t29, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.0619, p-value = 0.01172 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.01188203 gen - alt 0.92818609 leaves - alt 1.00000000 gen - fruits 0.06787952 leaves - fruits 0.01188203 leaves - gen 0.92818609 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.0619, p-value = 0.01188 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.01188203 gen - alt 0.92818609 leaves - alt 1.00000000 gen - fruits 0.06787952 leaves - fruits 0.01188203 leaves - gen 0.92818609 t30 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t30, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.7175, p-value = 0.03335 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.03278755 gen - alt 0.90497350 leaves - alt 1.00000000 gen - fruits 0.17401265 leaves - fruits 0.03278755 leaves - gen 0.90497350 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.7175, p-value = 0.03336 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.03278755 gen - alt 0.90497350 leaves - alt 1.00000000 gen - fruits 0.17401265 leaves - fruits 0.03278755 leaves - gen 0.90497350 t31 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t31, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.7175, p-value = 0.03346 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.03334868 gen - alt 0.90497262 leaves - alt 1.00000000 gen - fruits 0.17400756 leaves - fruits 0.03334868 leaves - gen 0.90497262 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.7175, p-value = 0.0329 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.03334868 gen - alt 0.90497262 leaves - alt 1.00000000 gen - fruits 0.17400756 leaves - fruits 0.03334868 leaves - gen 0.90497262 t32 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t32, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.3717, p-value = 0.004094 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.003904735 gen - alt 0.943293549 leaves - alt 1.000000000 gen - fruits 0.025644040 leaves - fruits 0.003904735 leaves - gen 0.943293549 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.3717, p-value = 0.004212 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.003904735 gen - alt 0.943293549 leaves - alt 1.000000000 gen - fruits 0.025644040 leaves - fruits 0.003904735 leaves - gen 0.943293549 t33 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t33, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.0619, p-value = 0.01169 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.01189273 gen - alt 0.92818725 leaves - alt 1.00000000 gen - fruits 0.06774516 leaves - fruits 0.01189273 leaves - gen 0.92818725 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.0619, p-value = 0.01195 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.01189273 gen - alt 0.92818725 leaves - alt 1.00000000 gen - fruits 0.06774516 leaves - fruits 0.01189273 leaves - gen 0.92818725 t34 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t34, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.6556, p-value = 0.001452 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.001500288 gen - alt 0.953765620 leaves - alt 1.000000000 gen - fruits 0.009502934 leaves - fruits 0.001500288 leaves - gen 0.953765620 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.6556, p-value = 0.001309 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.001500288 gen - alt 0.953765620 leaves - alt 1.000000000 gen - fruits 0.009502934 leaves - fruits 0.001500288 leaves - gen 0.953765620 t35 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t35, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.1659, p-value = 0.008236 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.008296815 gen - alt 0.969207020 leaves - alt 1.000000000 gen - fruits 0.034088143 leaves - fruits 0.008296815 leaves - gen 0.969207020 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.1659, p-value = 0.008145 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.008296815 gen - alt 0.969207020 leaves - alt 1.000000000 gen - fruits 0.034088143 leaves - fruits 0.008296815 leaves - gen 0.969207020 t36 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t36, T, T, F, F, 0.05) [1] "The results where not significant, There is no need for a post hoc test" Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 1.8516, p-value = 0.2492 alternative hypothesis: two.sided t37 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t37, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.6556, p-value = 0.001591 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.001695091 gen - alt 0.953765018 leaves - alt 1.000000000 gen - fruits 0.009502513 leaves - fruits 0.001695091 leaves - gen 0.953765018 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.6556, p-value = 0.001381 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.001695091 gen - alt 0.953765018 leaves - alt 1.000000000 gen - fruits 0.009502513 leaves - fruits 0.001695091 leaves - gen 0.953765018 t38 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t38, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.6556, p-value = 0.001393 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.001440912 gen - alt 0.953765104 leaves - alt 1.000000000 gen - fruits 0.009546794 leaves - fruits 0.001440912 leaves - gen 0.953765104 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.6556, p-value = 0.001282 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.001440912 gen - alt 0.953765104 leaves - alt 1.000000000 gen - fruits 0.009546794 leaves - fruits 0.001440912 leaves - gen 0.953765104 t39 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t39, T, T, F, F, 0.05) [1] "The results where not significant, There is no need for a post hoc test" Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.3238, p-value = 0.09271 alternative hypothesis: two.sided t40 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t40, T, T, F, F, 0.05) [1] "The results where not significant, There is no need for a post hoc test" Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.3238, p-value = 0.09263 alternative hypothesis: two.sided t41 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t41, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.5753, p-value = 0.001892 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.002094281 gen - alt 0.736829439 leaves - alt 1.000000000 gen - fruits 0.052279492 leaves - fruits 0.002094281 leaves - gen 0.736829439 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.5753, p-value = 0.002182 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.002094281 gen - alt 0.736829439 leaves - alt 1.000000000 gen - fruits 0.052279492 leaves - fruits 0.002094281 leaves - gen 0.736829439 t42 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t42, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.5753, p-value = 0.002004 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.001853403 gen - alt 0.736838424 leaves - alt 1.000000000 gen - fruits 0.052155631 leaves - fruits 0.001853403 leaves - gen 0.736838424 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.5753, p-value = 0.001772 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.001853403 gen - alt 0.736838424 leaves - alt 1.000000000 gen - fruits 0.052155631 leaves - fruits 0.001853403 leaves - gen 0.736838424 t43 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t43, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.7339, p-value = 0.03155 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.10953670 gen - alt 0.99852058 leaves - alt 0.96300741 gen - fruits 0.15607470 leaves - fruits 0.03152011 leaves - gen 0.91792476 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.7339, p-value = 0.03181 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.10953670 gen - alt 0.99852058 leaves - alt 0.96300741 gen - fruits 0.15607470 leaves - fruits 0.03152011 leaves - gen 0.91792476 t44 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t44, T, T, F, F, 0.05) [1] "The results where not significant, There is no need for a post hoc test" Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.3238, p-value = 0.09241 alternative hypothesis: two.sided t45 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t45, T, T, F, F, 0.05) [1] "The results where not significant, There is no need for a post hoc test" Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.0381, p-value = 0.1739 alternative hypothesis: two.sided t46 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t46, T, T, F, F, 0.05) [1] "The results where not significant, There is no need for a post hoc test" Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.5, p-value = 0.0599 alternative hypothesis: two.sided t47 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t47, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.1895, p-value = 0.007692 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.007620989 gen - alt 0.899669271 leaves - alt 1.000000000 gen - fruits 0.060590963 leaves - fruits 0.007620989 leaves - gen 0.899669271 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.1895, p-value = 0.008127 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.007620989 gen - alt 0.899669271 leaves - alt 1.000000000 gen - fruits 0.060590963 leaves - fruits 0.007620989 leaves - gen 0.899669271 t48 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t48, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.7813, p-value = 0.02777 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.02769465 gen - alt 0.55173668 leaves - alt 1.00000000 gen - fruits 0.45950456 leaves - fruits 0.02769465 leaves - gen 0.55173668 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.7813, p-value = 0.0274 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.02769465 gen - alt 0.55173668 leaves - alt 1.00000000 gen - fruits 0.45950456 leaves - fruits 0.02769465 leaves - gen 0.55173668 t49 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t49, T, T, F, F, 0.05) [1] "The results where not significant, There is no need for a post hoc test" Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.3575, p-value = 0.0852 alternative hypothesis: two.sided > friedman.test(scores ~ diet | colony, data=acceptance_t49) Friedman rank sum test data: scores and diet and colony Friedman chi-squared = 6.0769, df = 3, p-value = 0.1079 t50 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t50, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.1108, p-value = 0.01027 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.050025144 gen - alt 0.999117435 leaves - alt 0.948974104 gen - fruits 0.070680727 leaves - fruits 0.009909868 leaves - gen 0.906130431 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.1108, p-value = 0.009842 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.050025144 gen - alt 0.999117435 leaves - alt 0.948974104 gen - fruits 0.070680727 leaves - fruits 0.009909868 leaves - gen 0.906130431 t51 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t51, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.7386, p-value = 0.03166 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.12567652 gen - alt 0.94718883 leaves - alt 0.94718883 gen - fruits 0.35430466 leaves - fruits 0.03148678 leaves - gen 0.69233869 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.7386, p-value = 0.0314 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.12567652 gen - alt 0.94718883 leaves - alt 0.94718883 gen - fruits 0.35430466 leaves - fruits 0.03148678 leaves - gen 0.69233869 t52 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t52, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.9704, p-value = 0.01586 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.01603227 gen - alt 0.63433236 leaves - alt 1.00000000 gen - fruits 0.28183335 leaves - fruits 0.01603227 leaves - gen 0.63433236 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 2.9704, p-value = 0.01547 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.01603227 gen - alt 0.63433236 leaves - alt 1.00000000 gen - fruits 0.28183335 leaves - fruits 0.01603227 leaves - gen 0.63433236 t53 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t53, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.5753, p-value = 0.001915 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.011544714 gen - alt 1.000000000 leaves - alt 0.956558510 gen - fruits 0.011544714 leaves - fruits 0.001836385 leaves - gen 0.956558510 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.5753, p-value = 0.001798 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.011544714 gen - alt 1.000000000 leaves - alt 0.956558510 gen - fruits 0.011544714 leaves - fruits 0.001836385 leaves - gen 0.956558510 t54 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t54, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.5753, p-value = 0.002261 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.011442828 gen - alt 1.000000000 leaves - alt 0.956558470 gen - fruits 0.011442828 leaves - fruits 0.001971508 leaves - gen 0.956558470 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.5753, p-value = 0.002044 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.011442828 gen - alt 1.000000000 leaves - alt 0.956558470 gen - fruits 0.011442828 leaves - fruits 0.001971508 leaves - gen 0.956558470 t55 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t55, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.5753, p-value = 0.001845 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.01173526 gen - alt 1.00000000 leaves - alt 0.95655922 gen - fruits 0.01173526 leaves - fruits 0.00192286 leaves - gen 0.95655922 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.5753, p-value = 0.001867 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.01173526 gen - alt 1.00000000 leaves - alt 0.95655922 gen - fruits 0.01173526 leaves - fruits 0.00192286 leaves - gen 0.95655922 t56 > friedman.test.with.post.hoc(scores ~ diet | colony, acceptance_t56, T, T, F, F, 0.05) $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.0619, p-value = 0.01172 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.01161995 gen - alt 0.92818686 leaves - alt 1.00000000 gen - fruits 0.06828429 leaves - fruits 0.01161995 leaves - gen 0.92818686 $Friedman.Test Asymptotic General Symmetry Test data: scores by diet (alt, fruits, gen, leaves) stratified by colony maxT = 3.0619, p-value = 0.01181 alternative hypothesis: two.sided $PostHoc.Test fruits - alt 0.01161995 gen - alt 0.92818686 leaves - alt 1.00000000 gen - fruits 0.06828429 leaves - fruits 0.01161995 leaves - gen 0.92818686