1 Packages
library(car)
Carregando pacotes exigidos: carData
library(emmeans)
library(multcompView)
2 DATA
names(database)
[1] "Fermentador" "Periodo" "Tempo" "Efluente_total" "Gas_total" "CH4_effic"
[7] "CH4_DMO24h" "CH4_DMO48h" "DMO_24" "DMO_48" "N_NH3" "AGCC"
[13] "Ac_Pr"
3 Fermentador x Tempo
for (var in variables1) {
cat("\n\n########################### Variável:", var, "##########################\n")
formula <- as.formula(paste(var, "~ Fermentador * Tempo"))
mod <- aov(formula, data = database)
cat("ANOVA:\n")
print(summary(mod))
cat("\nMédias (emmeans):\n")
medias <- emmeans(mod, ~ Fermentador * Tempo)
print(summary(medias))
cat("\nTukey HSD:\n")
tukey <- TukeyHSD(mod)
print(tukey)
cat("\nLetras do Tukey:\n")
letras <- multcompLetters4(mod, tukey)
print(letras)
}
########################### Variável: Efluente_total ##########################
ANOVA:
Df Sum Sq Mean Sq F value Pr(>F)
Fermentador 3 10316 3439 1.018 0.393153
Tempo 3 77375 25792 7.633 0.000286 ***
Fermentador:Tempo 9 4832 537 0.159 0.997075
Residuals 48 162199 3379
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
16 observations deleted due to missingness
Médias (emmeans):
Fermentador Tempo emmean SE df lower.CL upper.CL
1 24 342 29.1 48 284 401
2 24 366 29.1 48 308 425
3 24 354 29.1 48 295 412
4 24 378 29.1 48 320 437
1 48 320 29.1 48 262 378
2 48 362 29.1 48 304 421
3 48 369 29.1 48 310 427
4 48 339 29.1 48 280 397
1 72 405 29.1 48 347 463
2 72 450 29.1 48 392 508
3 72 442 29.1 48 384 501
4 72 438 29.1 48 379 496
1 96 397 29.1 48 338 455
2 96 422 29.1 48 364 480
3 96 400 29.1 48 342 459
4 96 406 29.1 48 348 465
Confidence level used: 0.95
Tukey HSD:
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = formula, data = database)
$Fermentador
diff lwr upr p adj
2-1 34.185000 -20.51202 88.88202 0.3540147
3-1 25.401250 -29.29577 80.09827 0.6074448
4-1 24.246875 -30.45014 78.94389 0.6423888
3-2 -8.783750 -63.48077 45.91327 0.9735054
4-2 -9.938125 -64.63514 44.75889 0.9623844
4-3 -1.154375 -55.85139 53.54264 0.9999354
$Tempo
diff lwr upr p adj
48-24 -12.75000 -67.44702 41.94702 0.9250650
72-24 73.50000 18.80298 128.19702 0.0043487
96-24 46.10312 -8.59389 100.80014 0.1262815
72-48 86.25000 31.55298 140.94702 0.0006538
96-48 58.85312 4.15611 113.55014 0.0304729
96-72 -27.39688 -82.09389 27.30014 0.5468640
$`Fermentador:Tempo`
diff lwr upr p adj
2:24-1:24 23.7500 -124.74741 172.24741 0.9999997
3:24-1:24 11.3750 -137.12241 159.87241 1.0000000
4:24-1:24 35.8750 -112.62241 184.37241 0.9999352
1:48-1:24 -22.5000 -170.99741 125.99741 0.9999999
2:48-1:24 20.0000 -128.49741 168.49741 1.0000000
3:48-1:24 26.2500 -122.24741 174.74741 0.9999989
4:48-1:24 -3.7500 -152.24741 144.74741 1.0000000
1:72-1:24 62.5000 -85.99741 210.99741 0.9743116
2:72-1:24 107.5000 -40.99741 255.99741 0.4125287
3:72-1:24 100.0000 -48.49741 248.49741 0.5340080
4:72-1:24 95.0000 -53.49741 243.49741 0.6177986
1:96-1:24 54.0200 -94.47741 202.51741 0.9933654
2:96-1:24 79.5100 -68.98741 228.00741 0.8469415
3:96-1:24 58.0000 -90.49741 206.49741 0.9868606
4:96-1:24 63.8825 -84.61491 212.37991 0.9690454
3:24-2:24 -12.3750 -160.87241 136.12241 1.0000000
4:24-2:24 12.1250 -136.37241 160.62241 1.0000000
1:48-2:24 -46.2500 -194.74741 102.24741 0.9987008
2:48-2:24 -3.7500 -152.24741 144.74741 1.0000000
3:48-2:24 2.5000 -145.99741 150.99741 1.0000000
4:48-2:24 -27.5000 -175.99741 120.99741 0.9999980
1:72-2:24 38.7500 -109.74741 187.24741 0.9998330
2:72-2:24 83.7500 -64.74741 232.24741 0.7926088
3:72-2:24 76.2500 -72.24741 224.74741 0.8827514
4:72-2:24 71.2500 -77.24741 219.74741 0.9268676
1:96-2:24 30.2700 -118.22741 178.76741 0.9999927
2:96-2:24 55.7600 -92.73741 204.25741 0.9909543
3:96-2:24 34.2500 -114.24741 182.74741 0.9999638
4:96-2:24 40.1325 -108.36491 188.62991 0.9997457
4:24-3:24 24.5000 -123.99741 172.99741 0.9999996
1:48-3:24 -33.8750 -182.37241 114.62241 0.9999686
2:48-3:24 8.6250 -139.87241 157.12241 1.0000000
3:48-3:24 14.8750 -133.62241 163.37241 1.0000000
4:48-3:24 -15.1250 -163.62241 133.37241 1.0000000
1:72-3:24 51.1250 -97.37241 199.62241 0.9962018
2:72-3:24 96.1250 -52.37241 244.62241 0.5989878
3:72-3:24 88.6250 -59.87241 237.12241 0.7210404
4:72-3:24 83.6250 -64.87241 232.12241 0.7943257
1:96-3:24 42.6450 -105.85241 191.14241 0.9994813
2:96-3:24 68.1350 -80.36241 216.63241 0.9478203
3:96-3:24 46.6250 -101.87241 195.12241 0.9985798
4:96-3:24 52.5075 -95.98991 201.00491 0.9950087
1:48-4:24 -58.3750 -206.87241 90.12241 0.9860508
2:48-4:24 -15.8750 -164.37241 132.62241 1.0000000
3:48-4:24 -9.6250 -158.12241 138.87241 1.0000000
4:48-4:24 -39.6250 -188.12241 108.87241 0.9997815
1:72-4:24 26.6250 -121.87241 175.12241 0.9999987
2:72-4:24 71.6250 -76.87241 220.12241 0.9240139
3:72-4:24 64.1250 -84.37241 212.62241 0.9680443
4:72-4:24 59.1250 -89.37241 207.62241 0.9843134
1:96-4:24 18.1450 -130.35241 166.64241 1.0000000
2:96-4:24 43.6350 -104.86241 192.13241 0.9993247
3:96-4:24 22.1250 -126.37241 170.62241 0.9999999
4:96-4:24 28.0075 -120.48991 176.50491 0.9999974
2:48-1:48 42.5000 -105.99741 190.99741 0.9995013
3:48-1:48 48.7500 -99.74741 197.24741 0.9976970
4:48-1:48 18.7500 -129.74741 167.24741 1.0000000
1:72-1:48 85.0000 -63.49741 233.49741 0.7750879
2:72-1:48 130.0000 -18.49741 278.49741 0.1472893
3:72-1:48 122.5000 -25.99741 270.99741 0.2158705
4:72-1:48 117.5000 -30.99741 265.99741 0.2728208
1:96-1:48 76.5200 -71.97741 225.01741 0.8799941
2:96-1:48 102.0100 -46.48741 250.50741 0.5006053
3:96-1:48 80.5000 -67.99741 228.99741 0.8350072
4:96-1:48 86.3825 -62.11491 234.87991 0.7550069
3:48-2:48 6.2500 -142.24741 154.74741 1.0000000
4:48-2:48 -23.7500 -172.24741 124.74741 0.9999997
1:72-2:48 42.5000 -105.99741 190.99741 0.9995013
2:72-2:48 87.5000 -60.99741 235.99741 0.7382813
3:72-2:48 80.0000 -68.49741 228.49741 0.8410945
4:72-2:48 75.0000 -73.49741 223.49741 0.8950167
1:96-2:48 34.0200 -114.47741 182.51741 0.9999668
2:96-2:48 59.5100 -88.98741 208.00741 0.9833580
3:96-2:48 38.0000 -110.49741 186.49741 0.9998683
4:96-2:48 43.8825 -104.61491 192.37991 0.9992796
4:48-3:48 -30.0000 -178.49741 118.49741 0.9999935
1:72-3:48 36.2500 -112.24741 184.74741 0.9999263
2:72-3:48 81.2500 -67.24741 229.74741 0.8256517
3:72-3:48 73.7500 -74.74741 222.24741 0.9064564
4:72-3:48 68.7500 -79.74741 217.24741 0.9440645
1:96-3:48 27.7700 -120.72741 176.26741 0.9999977
2:96-3:48 53.2600 -95.23741 201.75741 0.9942390
3:96-3:48 31.7500 -116.74741 180.24741 0.9999863
4:96-3:48 37.6325 -110.86491 186.12991 0.9998831
1:72-4:48 66.2500 -82.24741 214.74741 0.9582194
2:72-4:48 111.2500 -37.24741 259.74741 0.3564487
3:72-4:48 103.7500 -44.74741 252.24741 0.4720895
4:72-4:48 98.7500 -49.74741 247.24741 0.5549377
1:96-4:48 57.7700 -90.72741 206.26741 0.9873385
2:96-4:48 83.2600 -65.23741 231.75741 0.7993014
3:96-4:48 61.7500 -86.74741 210.24741 0.9768684
4:96-4:48 67.6325 -80.86491 216.12991 0.9507544
2:72-1:72 45.0000 -103.49741 193.49741 0.9990426
3:72-1:72 37.5000 -110.99741 185.99741 0.9998880
4:72-1:72 32.5000 -115.99741 180.99741 0.9999815
1:96-1:72 -8.4800 -156.97741 140.01741 1.0000000
2:96-1:72 17.0100 -131.48741 165.50741 1.0000000
3:96-1:72 -4.5000 -152.99741 143.99741 1.0000000
4:96-1:72 1.3825 -147.11491 149.87991 1.0000000
3:72-2:72 -7.5000 -155.99741 140.99741 1.0000000
4:72-2:72 -12.5000 -160.99741 135.99741 1.0000000
1:96-2:72 -53.4800 -201.97741 95.01741 0.9939965
2:96-2:72 -27.9900 -176.48741 120.50741 0.9999974
3:96-2:72 -49.5000 -197.99741 98.99741 0.9972909
4:96-2:72 -43.6175 -192.11491 104.87991 0.9993277
4:72-3:72 -5.0000 -153.49741 143.49741 1.0000000
1:96-3:72 -45.9800 -194.47741 102.51741 0.9987823
2:96-3:72 -20.4900 -168.98741 128.00741 1.0000000
3:96-3:72 -42.0000 -190.49741 106.49741 0.9995654
4:96-3:72 -36.1175 -184.61491 112.37991 0.9999296
1:96-4:72 -40.9800 -189.47741 107.51741 0.9996742
2:96-4:72 -15.4900 -163.98741 133.00741 1.0000000
3:96-4:72 -37.0000 -185.49741 111.49741 0.9999050
4:96-4:72 -31.1175 -179.61491 117.37991 0.9999895
2:96-1:96 25.4900 -123.00741 173.98741 0.9999993
3:96-1:96 3.9800 -144.51741 152.47741 1.0000000
4:96-1:96 9.8625 -138.63491 158.35991 1.0000000
3:96-2:96 -21.5100 -170.00741 126.98741 0.9999999
4:96-2:96 -15.6275 -164.12491 132.86991 1.0000000
4:96-3:96 5.8825 -142.61491 154.37991 1.0000000
Letras do Tukey:
$Fermentador
$Fermentador$Letters
2 3 4 1
"a" "a" "a" "a"
$Fermentador$LetterMatrix
a
2 TRUE
3 TRUE
4 TRUE
1 TRUE
$Tempo
72 96 24 48
"a" "ab" "bc" "c"
$`Fermentador:Tempo`
$`Fermentador:Tempo`$Letters
2:72 3:72 4:72 2:96 4:96 1:72 3:96 1:96 4:24 3:48 2:24 2:48 3:24 1:24 4:48 1:48
"a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a"
$`Fermentador:Tempo`$LetterMatrix
a
2:72 TRUE
3:72 TRUE
4:72 TRUE
2:96 TRUE
4:96 TRUE
1:72 TRUE
3:96 TRUE
1:96 TRUE
4:24 TRUE
3:48 TRUE
2:24 TRUE
2:48 TRUE
3:24 TRUE
1:24 TRUE
4:48 TRUE
1:48 TRUE
########################### Variável: DMO_24 ##########################
ANOVA:
Df Sum Sq Mean Sq F value Pr(>F)
Fermentador 3 6856 2285 1.185 0.3365
Tempo 1 12975 12975 6.726 0.0159 *
Fermentador:Tempo 3 5046 1682 0.872 0.4693
Residuals 24 46298 1929
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
48 observations deleted due to missingness
Médias (emmeans):
Fermentador Tempo emmean SE df lower.CL upper.CL
1 24 583 22 24 537 628
2 24 528 22 24 482 573
3 24 562 22 24 516 607
4 24 594 22 24 548 639
1 48 511 22 24 466 557
2 48 523 22 24 478 568
3 48 531 22 24 486 576
4 48 539 22 24 494 585
Confidence level used: 0.95
Tukey HSD:
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = formula, data = database)
$Fermentador
diff lwr upr p adj
2-1 -21.7846358 -82.36545 38.79618 0.7553241
3-1 -0.7137667 -61.29458 59.86705 0.9999873
4-1 19.5975394 -40.98328 80.17836 0.8088171
3-2 21.0708691 -39.50995 81.65168 0.7732831
4-2 41.3821752 -19.19864 101.96299 0.2610491
4-3 20.3113061 -40.26951 80.89212 0.7918789
$Tempo
diff lwr upr p adj
48-24 -40.27199 -72.32127 -8.222708 0.0159396
$`Fermentador:Tempo`
diff lwr upr p adj
2:24-1:24 -55.133902 -157.99210 47.72429 0.6413057
3:24-1:24 -20.959276 -123.81747 81.89892 0.9969630
4:24-1:24 11.122660 -91.73553 113.98085 0.9999516
1:48-1:24 -71.306819 -174.16501 31.55138 0.3355505
2:48-1:24 -59.742188 -162.60038 43.11601 0.5490809
3:48-1:24 -51.775076 -154.63327 51.08312 0.7068866
4:48-1:24 -43.234400 -146.09259 59.62379 0.8520466
3:24-2:24 34.174625 -68.68357 137.03282 0.9505153
4:24-2:24 66.256562 -36.60163 169.11476 0.4232564
1:48-2:24 -16.172917 -119.03111 86.68528 0.9994169
2:48-2:24 -4.608287 -107.46648 98.24991 0.9999999
3:48-2:24 3.358826 -99.49937 106.21702 1.0000000
4:48-2:24 11.899502 -90.95869 114.75770 0.9999237
4:24-3:24 32.081937 -70.77626 134.94013 0.9643214
1:48-3:24 -50.347542 -153.20574 52.51065 0.7337365
2:48-3:24 -38.782912 -141.64111 64.07528 0.9084716
3:48-3:24 -30.815799 -133.67399 72.04239 0.9712144
4:48-3:24 -22.275124 -125.13332 80.58307 0.9955834
1:48-4:24 -82.429479 -185.28767 20.42872 0.1854712
2:48-4:24 -70.864849 -173.72304 31.99335 0.3427801
3:48-4:24 -62.897736 -165.75593 39.96046 0.4868443
4:48-4:24 -54.357060 -157.21525 48.50113 0.6566974
2:48-1:48 11.564630 -91.29356 114.42282 0.9999371
3:48-1:48 19.531743 -83.32645 122.38994 0.9980456
4:48-1:48 28.072419 -74.78578 130.93061 0.9827842
3:48-2:48 7.967113 -94.89108 110.82531 0.9999950
4:48-2:48 16.507788 -86.35041 119.36598 0.9993338
4:48-3:48 8.540676 -94.31752 111.39887 0.9999920
Letras do Tukey:
$Fermentador
$Fermentador$Letters
4 1 3 2
"a" "a" "a" "a"
$Fermentador$LetterMatrix
a
4 TRUE
1 TRUE
3 TRUE
2 TRUE
$Tempo
24 48
"a" "b"
$`Fermentador:Tempo`
$`Fermentador:Tempo`$Letters
4:24 1:24 3:24 4:48 3:48 2:24 2:48 1:48
"a" "a" "a" "a" "a" "a" "a" "a"
$`Fermentador:Tempo`$LetterMatrix
a
4:24 TRUE
1:24 TRUE
3:24 TRUE
4:48 TRUE
3:48 TRUE
2:24 TRUE
2:48 TRUE
1:48 TRUE
########################### Variável: Gas_total ##########################
ANOVA:
Df Sum Sq Mean Sq F value Pr(>F)
Fermentador 3 18705 6235 0.055 0.983
Tempo 3 7507002 2502334 21.992 4.2e-09 ***
Fermentador:Tempo 9 579887 64432 0.566 0.818
Residuals 48 5461729 113786
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
16 observations deleted due to missingness
Médias (emmeans):
Fermentador Tempo emmean SE df lower.CL upper.CL
1 24 2382 169 48 2042 2721
2 24 2410 169 48 2071 2749
3 24 2164 169 48 1825 2503
4 24 2122 169 48 1783 2461
1 48 1793 169 48 1454 2132
2 48 1814 169 48 1475 2153
3 48 1670 169 48 1331 2009
4 48 1707 169 48 1368 2046
1 72 1182 169 48 842 1521
2 72 1269 169 48 930 1608
3 72 1389 169 48 1050 1728
4 72 1372 169 48 1033 1712
1 96 1819 169 48 1480 2158
2 96 1667 169 48 1328 2006
3 96 1957 169 48 1618 2296
4 96 1813 169 48 1474 2152
Confidence level used: 0.95
Tukey HSD:
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = formula, data = database)
$Fermentador
diff lwr upr p adj
2-1 -3.8125 -321.2112 313.5862 0.9999881
3-1 1.1875 -316.2112 318.5862 0.9999996
4-1 -40.1250 -357.5237 277.2737 0.9867177
3-2 5.0000 -312.3987 322.3987 0.9999731
4-2 -36.3125 -353.7112 281.0862 0.9900756
4-3 -41.3125 -358.7112 276.0862 0.9855419
$Tempo
diff lwr upr p adj
48-24 -523.50 -840.8987 -206.1013 0.0003525
72-24 -966.25 -1283.6487 -648.8513 0.0000000
96-24 -455.25 -772.6487 -137.8513 0.0021220
72-48 -442.75 -760.1487 -125.3513 0.0029084
96-48 68.25 -249.1487 385.6487 0.9398688
96-72 511.00 193.6013 828.3987 0.0004938
$`Fermentador:Tempo`
diff lwr upr p adj
2:24-1:24 28.50 -833.2085 890.208501 1.0000000
3:24-1:24 -217.75 -1079.4585 643.958501 0.9998871
4:24-1:24 -259.50 -1121.2085 602.208501 0.9991077
1:48-1:24 -588.50 -1450.2085 273.208501 0.5104395
2:48-1:24 -567.75 -1429.4585 293.958501 0.5702134
3:48-1:24 -711.75 -1573.4585 149.958501 0.2142486
4:48-1:24 -674.75 -1536.4585 186.958501 0.2881019
1:72-1:24 -1200.00 -2061.7085 -338.291499 0.0007168
2:72-1:24 -1112.50 -1974.2085 -250.791499 0.0023395
3:72-1:24 -992.25 -1853.9585 -130.541499 0.0109378
4:72-1:24 -1009.00 -1870.7085 -147.291499 0.0088854
1:96-1:24 -562.50 -1424.2085 299.208501 0.5854024
2:96-1:24 -714.50 -1576.2085 147.208501 0.2093502
3:96-1:24 -424.50 -1286.2085 437.208501 0.9116228
4:96-1:24 -568.25 -1429.9585 293.458501 0.5687667
3:24-2:24 -246.25 -1107.9585 615.458501 0.9995099
4:24-2:24 -288.00 -1149.7085 573.708501 0.9972143
1:48-2:24 -617.00 -1478.7085 244.708501 0.4308318
2:48-2:24 -596.25 -1457.9585 265.458501 0.4884040
3:48-2:24 -740.25 -1601.9585 121.458501 0.1673907
4:48-2:24 -703.25 -1564.9585 158.458501 0.2299059
1:72-2:24 -1228.50 -2090.2085 -366.791499 0.0004835
2:72-2:24 -1141.00 -2002.7085 -279.291499 0.0015990
3:72-2:24 -1020.75 -1882.4585 -159.041499 0.0076687
4:72-2:24 -1037.50 -1899.2085 -175.791499 0.0062041
1:96-2:24 -591.00 -1452.7085 270.708501 0.5033069
2:96-2:24 -743.00 -1604.7085 118.708501 0.1633185
3:96-2:24 -453.00 -1314.7085 408.708501 0.8634856
4:96-2:24 -596.75 -1458.4585 264.958501 0.4869905
4:24-3:24 -41.75 -903.4585 819.958501 1.0000000
1:48-3:24 -370.75 -1232.4585 490.958501 0.9690107
2:48-3:24 -350.00 -1211.7085 511.708501 0.9812135
3:48-3:24 -494.00 -1355.7085 367.708501 0.7732222
4:48-3:24 -457.00 -1318.7085 404.708501 0.8557244
1:72-3:24 -982.25 -1843.9585 -120.541499 0.0123674
2:72-3:24 -894.75 -1756.4585 -33.041499 0.0346736
3:72-3:24 -774.50 -1636.2085 87.208501 0.1219839
4:72-3:24 -791.25 -1652.9585 70.458501 0.1037264
1:96-3:24 -344.75 -1206.4585 516.958501 0.9836093
2:96-3:24 -496.75 -1358.4585 364.958501 0.7663952
3:96-3:24 -206.75 -1068.4585 654.958501 0.9999406
4:96-3:24 -350.50 -1212.2085 511.208501 0.9809719
1:48-4:24 -329.00 -1190.7085 532.708501 0.9893905
2:48-4:24 -308.25 -1169.9585 553.458501 0.9943887
3:48-4:24 -452.25 -1313.9585 409.458501 0.8649138
4:48-4:24 -415.25 -1276.9585 446.458501 0.9245165
1:72-4:24 -940.50 -1802.2085 -78.791499 0.0204358
2:72-4:24 -853.00 -1714.7085 8.708501 0.0549326
3:72-4:24 -732.75 -1594.4585 128.958501 0.1788923
4:72-4:24 -749.50 -1611.2085 112.208501 0.1539976
1:96-4:24 -303.00 -1164.7085 558.708501 0.9952834
2:96-4:24 -455.00 -1316.7085 406.708501 0.8596352
3:96-4:24 -165.00 -1026.7085 696.708501 0.9999968
4:96-4:24 -308.75 -1170.4585 552.958501 0.9942967
2:48-1:48 20.75 -840.9585 882.458501 1.0000000
3:48-1:48 -123.25 -984.9585 738.458501 0.9999999
4:48-1:48 -86.25 -947.9585 775.458501 1.0000000
1:72-1:48 -611.50 -1473.2085 250.208501 0.4458505
2:72-1:48 -524.00 -1385.7085 337.708501 0.6947050
3:72-1:48 -403.75 -1265.4585 457.958501 0.9387170
4:72-1:48 -420.50 -1282.2085 441.208501 0.9173616
1:96-1:48 26.00 -835.7085 887.708501 1.0000000
2:96-1:48 -126.00 -987.7085 735.708501 0.9999999
3:96-1:48 164.00 -697.7085 1025.708501 0.9999970
4:96-1:48 20.25 -841.4585 881.958501 1.0000000
3:48-2:48 -144.00 -1005.7085 717.708501 0.9999995
4:48-2:48 -107.00 -968.7085 754.708501 1.0000000
1:72-2:48 -632.25 -1493.9585 229.458501 0.3903037
2:72-2:48 -544.75 -1406.4585 316.958501 0.6364826
3:72-2:48 -424.50 -1286.2085 437.208501 0.9116228
4:72-2:48 -441.25 -1302.9585 420.458501 0.8848676
1:96-2:48 5.25 -856.4585 866.958501 1.0000000
2:96-2:48 -146.75 -1008.4585 714.958501 0.9999993
3:96-2:48 143.25 -718.4585 1004.958501 0.9999995
4:96-2:48 -0.50 -862.2085 861.208501 1.0000000
4:48-3:48 37.00 -824.7085 898.708501 1.0000000
1:72-3:48 -488.25 -1349.9585 373.458501 0.7872148
2:72-3:48 -400.75 -1262.4585 460.958501 0.9420961
3:72-3:48 -280.50 -1142.2085 581.208501 0.9978971
4:72-3:48 -297.25 -1158.9585 564.458501 0.9961245
1:96-3:48 149.25 -712.4585 1010.958501 0.9999992
2:96-3:48 -2.75 -864.4585 858.958501 1.0000000
3:96-3:48 287.25 -574.4585 1148.958501 0.9972900
4:96-3:48 143.50 -718.2085 1005.208501 0.9999995
1:72-4:48 -525.25 -1386.9585 336.458501 0.6912681
2:72-4:48 -437.75 -1299.4585 423.958501 0.8908220
3:72-4:48 -317.50 -1179.2085 544.208501 0.9924752
4:72-4:48 -334.25 -1195.9585 527.458501 0.9876809
1:96-4:48 112.25 -749.4585 973.958501 1.0000000
2:96-4:48 -39.75 -901.4585 821.958501 1.0000000
3:96-4:48 250.25 -611.4585 1111.958501 0.9994097
4:96-4:48 106.50 -755.2085 968.208501 1.0000000
2:72-1:72 87.50 -774.2085 949.208501 1.0000000
3:72-1:72 207.75 -653.9585 1069.458501 0.9999369
4:72-1:72 191.00 -670.7085 1052.708501 0.9999782
1:96-1:72 637.50 -224.2085 1499.208501 0.3767743
2:96-1:72 485.50 -376.2085 1347.208501 0.7937666
3:96-1:72 775.50 -86.2085 1637.208501 0.1208247
4:96-1:72 631.75 -229.9585 1493.458501 0.3916041
3:72-2:72 120.25 -741.4585 981.958501 1.0000000
4:72-2:72 103.50 -758.2085 965.208501 1.0000000
1:96-2:72 550.00 -311.7085 1411.708501 0.6214499
2:96-2:72 398.00 -463.7085 1259.708501 0.9450780
3:96-2:72 688.00 -173.7085 1549.708501 0.2599594
4:96-2:72 544.25 -317.4585 1405.958501 0.6379095
4:72-3:72 -16.75 -878.4585 844.958501 1.0000000
1:96-3:72 429.75 -431.9585 1291.458501 0.9037107
2:96-3:72 277.75 -583.9585 1139.458501 0.9981091
3:96-3:72 567.75 -293.9585 1429.458501 0.5702134
4:96-3:72 424.00 -437.7085 1285.708501 0.9123538
1:96-4:72 446.50 -415.2085 1308.208501 0.8755775
2:96-4:72 294.50 -567.2085 1156.208501 0.9964803
3:96-4:72 584.50 -277.2085 1446.208501 0.5218931
4:96-4:72 440.75 -420.9585 1302.458501 0.8857299
2:96-1:96 -152.00 -1013.7085 709.708501 0.9999989
3:96-1:96 138.00 -723.7085 999.708501 0.9999997
4:96-1:96 -5.75 -867.4585 855.958501 1.0000000
3:96-2:96 290.00 -571.7085 1151.708501 0.9970036
4:96-2:96 146.25 -715.4585 1007.958501 0.9999994
4:96-3:96 -143.75 -1005.4585 717.958501 0.9999995
Letras do Tukey:
$Fermentador
$Fermentador$Letters
3 1 2 4
"a" "a" "a" "a"
$Fermentador$LetterMatrix
a
3 TRUE
1 TRUE
2 TRUE
4 TRUE
$Tempo
24 96 48 72
"a" "b" "b" "c"
$`Fermentador:Tempo`
2:24 1:24 3:24 4:24 3:96 1:96 2:48 4:96 1:48 4:48 3:48 2:96 3:72 4:72 2:72
"a" "a" "ab" "abc" "abcd" "abcd" "abcd" "abcd" "abcd" "abcd" "abcd" "abcd" "bcd" "bcd" "cd"
1:72
"d"
########################### Variável: CH4_effic ##########################
ANOVA:
Df Sum Sq Mean Sq F value Pr(>F)
Fermentador 3 28.96 9.653 2.094 0.129
Tempo 1 28.82 28.816 6.251 0.020 *
Fermentador:Tempo 3 1.17 0.391 0.085 0.968
Residuals 23 106.02 4.610
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
49 observations deleted due to missingness
Médias (emmeans):
Fermentador Tempo emmean SE df lower.CL upper.CL
1 72 7.54 1.07 23 5.32 9.76
2 72 5.38 1.07 23 3.15 7.60
3 72 6.45 1.24 23 3.89 9.02
4 72 6.04 1.07 23 3.82 8.26
1 96 9.73 1.07 23 7.51 11.95
2 96 6.87 1.07 23 4.65 9.09
3 96 8.93 1.07 23 6.71 11.15
4 96 7.69 1.07 23 5.47 9.91
Confidence level used: 0.95
Tukey HSD:
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = formula, data = database)
$Fermentador
diff lwr upr p adj
2-1 -2.5094894 -5.480192 0.4612134 0.1186108
3-1 -0.7666814 -3.841651 2.3082881 0.8998670
4-1 -1.7690723 -4.739775 1.2016305 0.3729532
3-2 1.7428080 -1.332162 4.8177775 0.4154083
4-2 0.7404171 -2.230286 3.7111199 0.8999617
4-3 -1.0023908 -4.077360 2.0725787 0.8038247
$Tempo
diff lwr upr p adj
96-72 1.925833 0.329601 3.522065 0.0201798
$`Fermentador:Tempo`
diff lwr upr p adj
2:72-1:72 -2.1639087 -7.2113447 2.883527 0.8364935
3:72-1:72 -1.0863676 -6.5382216 4.365486 0.9972654
4:72-1:72 -1.4994398 -6.5468757 3.547996 0.9717374
1:96-1:72 2.1881960 -2.8592400 7.235632 0.8289166
2:96-1:72 -0.6668741 -5.7143101 4.380562 0.9998075
3:96-1:72 1.3877547 -3.6596813 6.435191 0.9815285
4:96-1:72 0.1494912 -4.8979448 5.196927 1.0000000
3:72-2:72 1.0775411 -4.3743129 6.529395 0.9974008
4:72-2:72 0.6644690 -4.3829670 5.711905 0.9998120
1:96-2:72 4.3521047 -0.6953313 9.399541 0.1265944
2:96-2:72 1.4970346 -3.5504014 6.544471 0.9719811
3:96-2:72 3.5516634 -1.4957726 8.599099 0.3156415
4:96-2:72 2.3133999 -2.7340361 7.360836 0.7873392
4:72-3:72 -0.4130721 -5.8649261 5.038782 0.9999956
1:96-3:72 3.2745636 -2.1772904 8.726418 0.5047683
2:96-3:72 0.4194935 -5.0323605 5.871347 0.9999951
3:96-3:72 2.4741223 -2.9777317 7.925976 0.7952101
4:96-3:72 1.2358588 -4.2159952 6.687713 0.9939829
1:96-4:72 3.6876357 -1.3598003 8.735072 0.2742844
2:96-4:72 0.8325656 -4.2148704 5.880002 0.9991754
3:96-4:72 2.8871944 -2.1602416 7.934630 0.5631604
4:96-4:72 1.6489309 -3.3985050 6.696367 0.9534422
2:96-1:96 -2.8550701 -7.9025061 2.192366 0.5762711
3:96-1:96 -0.8004413 -5.8478773 4.246995 0.9993608
4:96-1:96 -2.0387048 -7.0861408 3.008731 0.8727784
3:96-2:96 2.0546288 -2.9928072 7.102065 0.8684309
4:96-2:96 0.8163653 -4.2310707 5.863801 0.9992737
4:96-3:96 -1.2382635 -6.2856995 3.809172 0.9903845
Letras do Tukey:
$Fermentador
$Fermentador$Letters
1 3 4 2
"a" "a" "a" "a"
$Fermentador$LetterMatrix
a
1 TRUE
3 TRUE
4 TRUE
2 TRUE
$Tempo
96 72
"a" "b"
$`Fermentador:Tempo`
$`Fermentador:Tempo`$Letters
1:96 3:96 4:96 1:72 2:96 3:72 4:72 2:72
"a" "a" "a" "a" "a" "a" "a" "a"
$`Fermentador:Tempo`$LetterMatrix
a
1:96 TRUE
3:96 TRUE
4:96 TRUE
1:72 TRUE
2:96 TRUE
3:72 TRUE
4:72 TRUE
2:72 TRUE
########################### Variável: N_NH3 ##########################
ANOVA:
Df Sum Sq Mean Sq F value Pr(>F)
Fermentador 3 63.4 21.1 0.907 0.447
Tempo 2 1973.9 987.0 42.352 3.49e-10 ***
Fermentador:Tempo 6 108.0 18.0 0.772 0.597
Residuals 36 838.9 23.3
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
32 observations deleted due to missingness
Médias (emmeans):
Fermentador Tempo emmean SE df lower.CL upper.CL
1 0 16.7 2.41 36 11.8 21.6
2 0 21.1 2.41 36 16.2 26.0
3 0 22.5 2.41 36 17.6 27.4
4 0 22.1 2.41 36 17.2 27.0
1 72 33.7 2.41 36 28.8 38.6
2 72 37.1 2.41 36 32.2 42.0
3 72 34.3 2.41 36 29.4 39.2
4 72 38.6 2.41 36 33.7 43.5
1 96 32.7 2.41 36 27.8 37.5
2 96 31.4 2.41 36 26.5 36.3
3 96 29.4 2.41 36 24.5 34.3
4 96 31.5 2.41 36 26.6 36.4
Confidence level used: 0.95
Tukey HSD:
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = formula, data = database)
$Fermentador
diff lwr upr p adj
2-1 2.1852083 -3.122581 7.492997 0.6865228
3-1 1.0695833 -4.238206 6.377372 0.9479049
4-1 3.0493750 -2.258414 8.357164 0.4208469
3-2 -1.1156250 -6.423414 4.192164 0.9414815
4-2 0.8641667 -4.443622 6.171956 0.9713911
4-3 1.9797917 -3.327997 7.287581 0.7477466
$Tempo
diff lwr upr p adj
72-0 15.331875 11.160058 19.5036923 0.0000000
96-0 10.625000 6.453183 14.7968173 0.0000010
96-72 -4.706875 -8.878692 -0.5350577 0.0240769
$`Fermentador:Tempo`
diff lwr upr p adj
2:0-1:0 4.420000 -7.49425032 16.334250 0.9745667
3:0-1:0 5.822500 -6.09175032 17.736750 0.8539924
4:0-1:0 5.440000 -6.47425032 17.354250 0.9002706
1:72-1:0 17.042500 5.12824968 28.956750 0.0008229
2:72-1:0 20.400000 8.48574968 32.314250 0.0000434
3:72-1:0 17.637500 5.72324968 29.551750 0.0004918
4:72-1:0 21.930000 10.01574968 33.844250 0.0000112
1:96-1:0 15.948125 4.03387468 27.862375 0.0020936
2:96-1:0 14.726250 2.81199968 26.640500 0.0057771
3:96-1:0 12.739375 0.82512468 24.653625 0.0274345
4:96-1:0 14.768750 2.85449968 26.683000 0.0055800
3:0-2:0 1.402500 -10.51175032 13.316750 0.9999995
4:0-2:0 1.020000 -10.89425032 12.934250 1.0000000
1:72-2:0 12.622500 0.70824968 24.536750 0.0299272
2:72-2:0 15.980000 4.06574968 27.894250 0.0020380
3:72-2:0 13.217500 1.30324968 25.131750 0.0191055
4:72-2:0 17.510000 5.59574968 29.424250 0.0005493
1:96-2:0 11.528125 -0.38612532 23.442375 0.0654291
2:96-2:0 10.306250 -1.60800032 22.220500 0.1443645
3:96-2:0 8.319375 -3.59487532 20.233625 0.4087270
4:96-2:0 10.348750 -1.56550032 22.263000 0.1406829
4:0-3:0 -0.382500 -12.29675032 11.531750 1.0000000
1:72-3:0 11.220000 -0.69425032 23.134250 0.0805999
2:72-3:0 14.577500 2.66324968 26.491750 0.0065206
3:72-3:0 11.815000 -0.09925032 23.729250 0.0536204
4:72-3:0 16.107500 4.19324968 28.021750 0.0018297
1:96-3:0 10.125625 -1.78862532 22.039875 0.1608770
2:96-3:0 8.903750 -3.01050032 20.818000 0.3122524
3:96-3:0 6.916875 -4.99737532 18.831125 0.6736733
4:96-3:0 8.946250 -2.96800032 20.860500 0.3058040
1:72-4:0 11.602500 -0.31175032 23.516750 0.0621658
2:72-4:0 14.960000 3.04574968 26.874250 0.0047705
3:72-4:0 12.197500 0.28324968 24.111750 0.0408417
4:72-4:0 16.490000 4.57574968 28.404250 0.0013217
1:96-4:0 10.508125 -1.40612532 22.422375 0.1275456
2:96-4:0 9.286250 -2.62800032 21.200500 0.2572444
3:96-4:0 7.299375 -4.61487532 19.213625 0.6006708
4:96-4:0 9.328750 -2.58550032 21.243000 0.2515600
2:72-1:72 3.357500 -8.55675032 15.271750 0.9971692
3:72-1:72 0.595000 -11.31925032 12.509250 1.0000000
4:72-1:72 4.887500 -7.02675032 16.801750 0.9489077
1:96-1:72 -1.094375 -13.00862532 10.819875 1.0000000
2:96-1:72 -2.316250 -14.23050032 9.598000 0.9999095
3:96-1:72 -4.303125 -16.21737532 7.611125 0.9791023
4:96-1:72 -2.273750 -14.18800032 9.640500 0.9999245
3:72-2:72 -2.762500 -14.67675032 9.151750 0.9995109
4:72-2:72 1.530000 -10.38425032 13.444250 0.9999987
1:96-2:72 -4.451875 -16.36612532 7.462375 0.9732106
2:96-2:72 -5.673750 -17.58800032 6.240500 0.8732037
3:96-2:72 -7.660625 -19.57487532 4.253625 0.5309244
4:96-2:72 -5.631250 -17.54550032 6.283000 0.8784118
4:72-3:72 4.292500 -7.62175032 16.206750 0.9794819
1:96-3:72 -1.689375 -13.60362532 10.224875 0.9999963
2:96-3:72 -2.911250 -14.82550032 9.003000 0.9992056
3:96-3:72 -4.898125 -16.81237532 7.016125 0.9481694
4:96-3:72 -2.868750 -14.78300032 9.045500 0.9993060
1:96-4:72 -5.981875 -17.89612532 5.932375 0.8317639
2:96-4:72 -7.203750 -19.11800032 4.710500 0.6191048
3:96-4:72 -9.190625 -21.10487532 2.723625 0.2703499
4:96-4:72 -7.161250 -19.07550032 4.753000 0.6272703
2:96-1:96 -1.221875 -13.13612532 10.692375 0.9999999
3:96-1:96 -3.208750 -15.12300032 8.705500 0.9980938
4:96-1:96 -1.179375 -13.09362532 10.734875 0.9999999
3:96-2:96 -1.986875 -13.90112532 9.927375 0.9999803
4:96-2:96 0.042500 -11.87175032 11.956750 1.0000000
4:96-3:96 2.029375 -9.88487532 13.943625 0.9999757
Letras do Tukey:
$Fermentador
$Fermentador$Letters
4 2 3 1
"a" "a" "a" "a"
$Fermentador$LetterMatrix
a
4 TRUE
2 TRUE
3 TRUE
1 TRUE
$Tempo
72 96 0
"a" "b" "c"
$`Fermentador:Tempo`
4:72 2:72 3:72 1:72 1:96 4:96 2:96 3:96 3:0 4:0 2:0 1:0
"a" "a" "ab" "abc" "abcd" "abcd" "abcd" "abcd" "bcde" "cde" "de" "e"
########################### Variável: AGCC ##########################
ANOVA:
Df Sum Sq Mean Sq F value Pr(>F)
Fermentador 3 476 158.5 0.302 0.824
Tempo 2 1667 833.3 1.586 0.219
Fermentador:Tempo 6 2152 358.7 0.683 0.664
Residuals 36 18910 525.3
32 observations deleted due to missingness
Médias (emmeans):
Fermentador Tempo emmean SE df lower.CL upper.CL
1 0 103.6 11.5 36 80.3 127
2 0 109.0 11.5 36 85.7 132
3 0 115.0 11.5 36 91.7 138
4 0 113.3 11.5 36 90.0 137
1 72 130.4 11.5 36 107.2 154
2 72 116.3 11.5 36 93.1 140
3 72 123.0 11.5 36 99.8 146
4 72 126.1 11.5 36 102.9 149
1 96 125.3 11.5 36 102.1 149
2 96 117.0 11.5 36 93.7 140
3 96 115.5 11.5 36 92.3 139
4 96 95.7 11.5 36 72.4 119
Confidence level used: 0.95
Tukey HSD:
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = formula, data = database)
$Fermentador
diff lwr upr p adj
2-1 -5.670930 -30.87036 19.52850 0.9294804
3-1 -1.951228 -27.15066 23.24820 0.9967333
4-1 -8.082238 -33.28167 17.11719 0.8233270
3-2 3.719702 -21.47973 28.91913 0.9783866
4-2 -2.411308 -27.61074 22.78812 0.9938917
4-3 -6.131010 -31.33044 19.06842 0.9130077
$Tempo
diff lwr upr p adj
72-0 13.785266 -6.020988 33.591520 0.2186041
96-0 3.188794 -16.617460 22.995048 0.9183735
96-72 -10.596473 -30.402727 9.209781 0.4001967
$`Fermentador:Tempo`
diff lwr upr p adj
2:0-1:0 5.4294050 -51.13507 61.99388 0.9999999
3:0-1:0 11.3999725 -45.16451 67.96445 0.9998714
4:0-1:0 9.7058450 -46.85863 66.27032 0.9999738
1:72-1:0 26.8629175 -29.70156 83.42740 0.8751274
2:72-1:0 12.7888850 -43.77559 69.35336 0.9996138
3:72-1:0 19.4475525 -37.11693 76.01203 0.9855920
4:72-1:0 22.5769325 -33.98755 79.14141 0.9574819
1:96-1:0 21.7908556 -34.77362 78.35533 0.9667145
2:96-1:0 13.4226937 -43.14178 69.98717 0.9993934
3:96-1:0 11.9525650 -44.61191 68.51704 0.9997969
4:96-1:0 -7.8757175 -64.44020 48.68876 0.9999969
3:0-2:0 5.9705675 -50.59391 62.53505 0.9999998
4:0-2:0 4.2764400 -52.28804 60.84092 1.0000000
1:72-2:0 21.4335125 -35.13097 77.99799 0.9703874
2:72-2:0 7.3594800 -49.20500 63.92396 0.9999985
3:72-2:0 14.0181475 -42.54633 70.58263 0.9990961
4:72-2:0 17.1475275 -39.41695 73.71201 0.9947427
1:96-2:0 16.3614506 -40.20303 72.92593 0.9964590
2:96-2:0 7.9932888 -48.57119 64.55777 0.9999964
3:96-2:0 6.5231600 -50.04132 63.08764 0.9999996
4:96-2:0 -13.3051225 -69.86960 43.25936 0.9994409
4:0-3:0 -1.6941275 -58.25861 54.87035 1.0000000
1:72-3:0 15.4629450 -41.10153 72.02742 0.9978268
2:72-3:0 1.3889125 -55.17557 57.95339 1.0000000
3:72-3:0 8.0475800 -48.51690 64.61206 0.9999961
4:72-3:0 11.1769600 -45.38752 67.74144 0.9998939
1:96-3:0 10.3908831 -46.17360 66.95536 0.9999482
2:96-3:0 2.0227213 -54.54176 58.58720 1.0000000
3:96-3:0 0.5525925 -56.01189 57.11707 1.0000000
4:96-3:0 -19.2756900 -75.84017 37.28879 0.9865450
1:72-4:0 17.1570725 -39.40741 73.72155 0.9947183
2:72-4:0 3.0830400 -53.48144 59.64752 1.0000000
3:72-4:0 9.7417075 -46.82277 66.30619 0.9999728
4:72-4:0 12.8710875 -43.69339 69.43557 0.9995898
1:96-4:0 12.0850106 -44.47947 68.64949 0.9997743
2:96-4:0 3.7168488 -52.84763 60.28133 1.0000000
3:96-4:0 2.2467200 -54.31776 58.81120 1.0000000
4:96-4:0 -17.5815625 -74.14604 38.98292 0.9935372
2:72-1:72 -14.0740325 -70.63851 42.49045 0.9990627
3:72-1:72 -7.4153650 -63.97984 49.14911 0.9999983
4:72-1:72 -4.2859850 -60.85046 52.27849 1.0000000
1:96-1:72 -5.0720619 -61.63654 51.49242 1.0000000
2:96-1:72 -13.4402237 -70.00470 43.12425 0.9993860
3:96-1:72 -14.9103525 -71.47483 41.65413 0.9984240
4:96-1:72 -34.7386350 -91.30311 21.82584 0.5972578
3:72-2:72 6.6586675 -49.90581 63.22315 0.9999995
4:72-2:72 9.7880475 -46.77643 66.35253 0.9999715
1:96-2:72 9.0019706 -47.56251 65.56645 0.9999878
2:96-2:72 0.6338088 -55.93067 57.19829 1.0000000
3:96-2:72 -0.8363200 -57.40080 55.72816 1.0000000
4:96-2:72 -20.6646025 -77.22908 35.89988 0.9772636
4:72-3:72 3.1293800 -53.43510 59.69386 1.0000000
1:96-3:72 2.3433031 -54.22118 58.90778 1.0000000
2:96-3:72 -6.0248587 -62.58934 50.53962 0.9999998
3:96-3:72 -7.4949875 -64.05947 49.06949 0.9999981
4:96-3:72 -27.3232700 -83.88775 29.24121 0.8628802
1:96-4:72 -0.7860769 -57.35056 55.77840 1.0000000
2:96-4:72 -9.1542387 -65.71872 47.41024 0.9999855
3:96-4:72 -10.6243675 -67.18885 45.94011 0.9999355
4:96-4:72 -30.4526500 -87.01713 26.11183 0.7637236
2:96-1:96 -8.3681619 -64.93264 48.19632 0.9999942
3:96-1:96 -9.8382906 -66.40277 46.72619 0.9999700
4:96-1:96 -29.6665731 -86.23105 26.89791 0.7910099
3:96-2:96 -1.4701288 -58.03461 55.09435 1.0000000
4:96-2:96 -21.2984113 -77.86289 35.26607 0.9716949
4:96-3:96 -19.8282825 -76.39276 36.73620 0.9832943
Letras do Tukey:
$Fermentador
$Fermentador$Letters
1 3 2 4
"a" "a" "a" "a"
$Fermentador$LetterMatrix
a
1 TRUE
3 TRUE
2 TRUE
4 TRUE
$Tempo
$Tempo$Letters
72 96 0
"a" "a" "a"
$Tempo$LetterMatrix
a
72 TRUE
96 TRUE
0 TRUE
$`Fermentador:Tempo`
$`Fermentador:Tempo`$Letters
1:72 4:72 1:96 3:72 2:96 2:72 3:96 3:0 4:0 2:0 1:0 4:96
"a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a"
$`Fermentador:Tempo`$LetterMatrix
a
1:72 TRUE
4:72 TRUE
1:96 TRUE
3:72 TRUE
2:96 TRUE
2:72 TRUE
3:96 TRUE
3:0 TRUE
4:0 TRUE
2:0 TRUE
1:0 TRUE
4:96 TRUE
########################### Variável: Ac_Pr ##########################
ANOVA:
Df Sum Sq Mean Sq F value Pr(>F)
Fermentador 3 0.19 0.065 0.416 0.743
Tempo 2 53.47 26.733 172.003 <2e-16 ***
Fermentador:Tempo 6 0.12 0.020 0.131 0.992
Residuals 36 5.60 0.155
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
32 observations deleted due to missingness
Médias (emmeans):
Fermentador Tempo emmean SE df lower.CL upper.CL
1 0 4.79 0.197 36 4.39 5.19
2 0 4.78 0.197 36 4.38 5.18
3 0 4.84 0.197 36 4.44 5.24
4 0 4.79 0.197 36 4.39 5.19
1 72 2.75 0.197 36 2.35 3.15
2 72 2.67 0.197 36 2.27 3.07
3 72 2.60 0.197 36 2.20 3.00
4 72 2.48 0.197 36 2.08 2.88
1 96 2.57 0.197 36 2.17 2.96
2 96 2.52 0.197 36 2.12 2.92
3 96 2.59 0.197 36 2.19 2.99
4 96 2.34 0.197 36 1.94 2.74
Confidence level used: 0.95
Tukey HSD:
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = formula, data = database)
$Fermentador
diff lwr upr p adj
2-1 -0.04753152 -0.4809976 0.3859345 0.9908846
3-1 -0.02727933 -0.4607454 0.4061867 0.9982357
4-1 -0.16639611 -0.5998622 0.2670699 0.7308991
3-2 0.02025219 -0.4132138 0.4537182 0.9992743
4-2 -0.11886459 -0.5523306 0.3146014 0.8808851
4-3 -0.13911678 -0.5725828 0.2943493 0.8230451
$Tempo
diff lwr upr p adj
72-0 -2.1740818 -2.5147775 -1.8333860 0.0000000
96-0 -2.2984497 -2.6391454 -1.9577539 0.0000000
96-72 -0.1243679 -0.4650637 0.2163278 0.6486023
$`Fermentador:Tempo`
diff lwr upr p adj
2:0-1:0 -0.014367386 -0.9873569 0.9586221 1.0000000
3:0-1:0 0.045968436 -0.9270211 1.0189579 1.0000000
4:0-1:0 -0.005337201 -0.9783267 0.9676523 1.0000000
1:72-1:0 -2.043458495 -3.0164480 -1.0704690 0.0000007
2:72-1:0 -2.122957246 -3.0959468 -1.1499677 0.0000003
3:72-1:0 -2.193371774 -3.1663613 -1.2203823 0.0000002
4:72-1:0 -2.310275690 -3.2832652 -1.3372862 0.0000000
1:96-1:0 -2.228469847 -3.2014594 -1.2554803 0.0000001
2:96-1:0 -2.277198281 -3.2501878 -1.3042088 0.0000001
3:96-1:0 -2.206362994 -3.1793525 -1.2333735 0.0000001
4:96-1:0 -2.455503793 -3.4284933 -1.4825143 0.0000000
3:0-2:0 0.060335822 -0.9126537 1.0333253 1.0000000
4:0-2:0 0.009030185 -0.9639593 0.9820197 1.0000000
1:72-2:0 -2.029091109 -3.0020806 -1.0561016 0.0000009
2:72-2:0 -2.108589860 -3.0815794 -1.1356004 0.0000004
3:72-2:0 -2.179004388 -3.1519939 -1.2060149 0.0000002
4:72-2:0 -2.295908304 -3.2688978 -1.3229188 0.0000001
1:96-2:0 -2.214102461 -3.1870920 -1.2411130 0.0000001
2:96-2:0 -2.262830895 -3.2358204 -1.2898414 0.0000001
3:96-2:0 -2.191995608 -3.1649851 -1.2190061 0.0000002
4:96-2:0 -2.441136407 -3.4141259 -1.4681469 0.0000000
4:0-3:0 -0.051305637 -1.0242951 0.9216839 1.0000000
1:72-3:0 -2.089426932 -3.0624164 -1.1164374 0.0000005
2:72-3:0 -2.168925682 -3.1419152 -1.1959362 0.0000002
3:72-3:0 -2.239340211 -3.2123297 -1.2663507 0.0000001
4:72-3:0 -2.356244126 -3.3292336 -1.3832546 0.0000000
1:96-3:0 -2.274438283 -3.2474278 -1.3014488 0.0000001
2:96-3:0 -2.323166717 -3.2961562 -1.3501772 0.0000000
3:96-3:0 -2.252331431 -3.2253209 -1.2793419 0.0000001
4:96-3:0 -2.501472229 -3.4744617 -1.5284827 0.0000000
1:72-4:0 -2.038121294 -3.0111108 -1.0651318 0.0000008
2:72-4:0 -2.117620045 -3.0906096 -1.1446305 0.0000003
3:72-4:0 -2.188034573 -3.1610241 -1.2150451 0.0000002
4:72-4:0 -2.304938488 -3.2779280 -1.3319490 0.0000000
1:96-4:0 -2.223132645 -3.1961222 -1.2501431 0.0000001
2:96-4:0 -2.271861080 -3.2448506 -1.2988716 0.0000001
3:96-4:0 -2.201025793 -3.1740153 -1.2280363 0.0000001
4:96-4:0 -2.450166592 -3.4231561 -1.4771771 0.0000000
2:72-1:72 -0.079498751 -1.0524883 0.8934908 1.0000000
3:72-1:72 -0.149913279 -1.1229028 0.8230762 0.9999912
4:72-1:72 -0.266817194 -1.2398067 0.7061723 0.9977665
1:96-1:72 -0.185011351 -1.1580009 0.7879782 0.9999272
2:96-1:72 -0.233739785 -1.2067293 0.7392497 0.9993206
3:96-1:72 -0.162904499 -1.1358940 0.8100850 0.9999795
4:96-1:72 -0.412045298 -1.3850348 0.5609442 0.9371559
3:72-2:72 -0.070414529 -1.0434040 0.9025750 1.0000000
4:72-2:72 -0.187318444 -1.1603080 0.7856711 0.9999178
1:96-2:72 -0.105512601 -1.0785021 0.8674769 0.9999998
2:96-2:72 -0.154241035 -1.1272305 0.8187485 0.9999882
3:96-2:72 -0.083405748 -1.0563953 0.8895838 1.0000000
4:96-2:72 -0.332546547 -1.3055361 0.6404430 0.9862355
4:72-3:72 -0.116903915 -1.0898934 0.8560856 0.9999993
1:96-3:72 -0.035098072 -1.0080876 0.9378914 1.0000000
2:96-3:72 -0.083826506 -1.0568160 0.8891630 1.0000000
3:96-3:72 -0.012991220 -0.9859807 0.9599983 1.0000000
4:96-3:72 -0.262132019 -1.2351215 0.7108575 0.9980883
1:96-4:72 0.081805843 -0.8911837 1.0547954 1.0000000
2:96-4:72 0.033077409 -0.9399121 1.0060669 1.0000000
3:96-4:72 0.103912695 -0.8690768 1.0769022 0.9999998
4:96-4:72 -0.145228103 -1.1182176 0.8277614 0.9999936
2:96-1:96 -0.048728434 -1.0217179 0.9242611 1.0000000
3:96-1:96 0.022106852 -0.9508827 0.9950964 1.0000000
4:96-1:96 -0.227033946 -1.2000235 0.7459556 0.9994812
3:96-2:96 0.070835287 -0.9021542 1.0438248 1.0000000
4:96-2:96 -0.178305512 -1.1512950 0.7946840 0.9999495
4:96-3:96 -0.249140799 -1.2221303 0.7238487 0.9987846
Letras do Tukey:
$Fermentador
$Fermentador$Letters
1 3 2 4
"a" "a" "a" "a"
$Fermentador$LetterMatrix
a
1 TRUE
3 TRUE
2 TRUE
4 TRUE
$Tempo
0 72 96
"a" "b" "b"
$`Fermentador:Tempo`
3:0 1:0 4:0 2:0 1:72 2:72 3:72 3:96 1:96 2:96 4:72 4:96
"a" "a" "a" "a" "b" "b" "b" "b" "b" "b" "b" "b"
4 Periodo x Tempo
for (var in variables1) {
cat("\n\n########################### Variável:", var, "##########################\n")
formula <- as.formula(paste(var, "~ Periodo * Tempo"))
mod <- aov(formula, data = database)
cat("ANOVA:\n")
print(summary(mod))
cat("\nMédias (emmeans):\n")
medias <- emmeans(mod, ~ Periodo * Tempo)
print(summary(medias))
cat("\nTukey HSD:\n")
tukey <- TukeyHSD(mod)
print(tukey)
cat("\nLetras do Tukey:\n")
letras <- multcompLetters4(mod, tukey)
print(letras)
}
########################### Variável: Efluente_total ##########################
ANOVA:
Df Sum Sq Mean Sq F value Pr(>F)
Periodo 3 25610 8537 7.323 0.000387 ***
Tempo 3 77375 25792 22.125 3.86e-09 ***
Periodo:Tempo 9 95782 10642 9.130 6.90e-08 ***
Residuals 48 55954 1166
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
16 observations deleted due to missingness
Médias (emmeans):
Periodo Tempo emmean SE df lower.CL upper.CL
1 24 384 17.1 48 349 418
2 24 398 17.1 48 363 432
3 24 412 17.1 48 378 447
4 24 247 17.1 48 213 282
1 48 358 17.1 48 323 392
2 48 315 17.1 48 281 349
3 48 350 17.1 48 316 384
4 48 368 17.1 48 333 402
1 72 468 17.1 48 433 502
2 72 418 17.1 48 383 452
3 72 435 17.1 48 401 469
4 72 415 17.1 48 381 449
1 96 464 17.1 48 430 498
2 96 412 17.1 48 377 446
3 96 329 17.1 48 294 363
4 96 421 17.1 48 386 455
Confidence level used: 0.95
Tukey HSD:
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = formula, data = database)
$Periodo
diff lwr upr p adj
2-1 -32.781250 -64.90723 -0.6552664 0.0439002
3-1 -36.646875 -68.77286 -4.5208914 0.0195564
4-1 -55.593750 -87.71973 -23.4677664 0.0001742
3-2 -3.865625 -35.99161 28.2603586 0.9884985
4-2 -22.812500 -54.93848 9.3134836 0.2459439
4-3 -18.946875 -51.07286 13.1791086 0.4053157
$Tempo
diff lwr upr p adj
48-24 -12.75000 -44.87598 19.375984 0.7174147
72-24 73.50000 41.37402 105.625984 0.0000011
96-24 46.10312 13.97714 78.229109 0.0021091
72-48 86.25000 54.12402 118.375984 0.0000000
96-48 58.85312 26.72714 90.979109 0.0000710
96-72 -27.39688 -59.52286 4.729109 0.1196132
$`Periodo:Tempo`
diff lwr upr p adj
2:24-1:24 13.7500 -73.469118 100.969118 0.9999998
3:24-1:24 28.7500 -58.469118 115.969118 0.9975945
4:24-1:24 -136.5000 -223.719118 -49.280882 0.0000889
1:48-1:24 -26.2500 -113.469118 60.969118 0.9991137
2:48-1:24 -68.7500 -155.969118 18.469118 0.2783625
3:48-1:24 -33.7500 -120.969118 53.469118 0.9879568
4:48-1:24 -16.2500 -103.469118 70.969118 0.9999978
1:72-1:24 83.7500 -3.469118 170.969118 0.0719652
2:72-1:24 33.7500 -53.469118 120.969118 0.9879568
3:72-1:24 51.2500 -35.969118 138.469118 0.7419513
4:72-1:24 31.2500 -55.969118 118.469118 0.9942978
1:96-1:24 80.3750 -6.844118 167.594118 0.1008677
2:96-1:24 28.0000 -59.219118 115.219118 0.9981898
3:96-1:24 -54.9625 -142.181618 32.256618 0.6414182
4:96-1:24 37.0000 -50.219118 124.219118 0.9725090
3:24-2:24 15.0000 -72.219118 102.219118 0.9999992
4:24-2:24 -150.2500 -237.469118 -63.030882 0.0000125
1:48-2:24 -40.0000 -127.219118 47.219118 0.9480098
2:48-2:24 -82.5000 -169.719118 4.719118 0.0817140
3:48-2:24 -47.5000 -134.719118 39.719118 0.8303942
4:48-2:24 -30.0000 -117.219118 57.219118 0.9962383
1:72-2:24 70.0000 -17.219118 157.219118 0.2526644
2:72-2:24 20.0000 -67.219118 107.219118 0.9999664
3:72-2:24 37.5000 -49.719118 124.719118 0.9691912
4:72-2:24 17.5000 -69.719118 104.719118 0.9999940
1:96-2:24 66.6250 -20.594118 153.844118 0.3257271
2:96-2:24 14.2500 -72.969118 101.469118 0.9999996
3:96-2:24 -68.7125 -155.931618 18.506618 0.2791586
4:96-2:24 23.2500 -63.969118 110.469118 0.9997842
4:24-3:24 -165.2500 -252.469118 -78.030882 0.0000014
1:48-3:24 -55.0000 -142.219118 32.219118 0.6403626
2:48-3:24 -97.5000 -184.719118 -10.280882 0.0155712
3:48-3:24 -62.5000 -149.719118 24.719118 0.4295081
4:48-3:24 -45.0000 -132.219118 42.219118 0.8790041
1:72-3:24 55.0000 -32.219118 142.219118 0.6403626
2:72-3:24 5.0000 -82.219118 92.219118 1.0000000
3:72-3:24 22.5000 -64.719118 109.719118 0.9998547
4:72-3:24 2.5000 -84.719118 89.719118 1.0000000
1:96-3:24 51.6250 -35.594118 138.844118 0.7322623
2:96-3:24 -0.7500 -87.969118 86.469118 1.0000000
3:96-3:24 -83.7125 -170.931618 3.506618 0.0722424
4:96-3:24 8.2500 -78.969118 95.469118 1.0000000
1:48-4:24 110.2500 23.030882 197.469118 0.0031790
2:48-4:24 67.7500 -19.469118 154.969118 0.3000863
3:48-4:24 102.7500 15.530882 189.969118 0.0082274
4:48-4:24 120.2500 33.030882 207.469118 0.0008445
1:72-4:24 220.2500 133.030882 307.469118 0.0000000
2:72-4:24 170.2500 83.030882 257.469118 0.0000007
3:72-4:24 187.7500 100.530882 274.969118 0.0000001
4:72-4:24 167.7500 80.530882 254.969118 0.0000010
1:96-4:24 216.8750 129.655882 304.094118 0.0000000
2:96-4:24 164.5000 77.280882 251.719118 0.0000016
3:96-4:24 81.5375 -5.681618 168.756618 0.0899690
4:96-4:24 173.5000 86.280882 260.719118 0.0000004
2:48-1:48 -42.5000 -129.719118 44.719118 0.9182121
3:48-1:48 -7.5000 -94.719118 79.719118 1.0000000
4:48-1:48 10.0000 -77.219118 97.219118 1.0000000
1:72-1:48 110.0000 22.780882 197.219118 0.0032835
2:72-1:48 60.0000 -27.219118 147.219118 0.4982172
3:72-1:48 77.5000 -9.719118 164.719118 0.1325959
4:72-1:48 57.5000 -29.719118 144.719118 0.5692320
1:96-1:48 106.6250 19.405882 193.844118 0.0050605
2:96-1:48 54.2500 -32.969118 141.469118 0.6613637
3:96-1:48 -28.7125 -115.931618 58.506618 0.9976278
4:96-1:48 63.2500 -23.969118 150.469118 0.4096246
3:48-2:48 35.0000 -52.219118 122.219118 0.9831532
4:48-2:48 52.5000 -34.719118 139.719118 0.7091793
1:72-2:48 152.5000 65.280882 239.719118 0.0000090
2:72-2:48 102.5000 15.280882 189.719118 0.0084859
3:72-2:48 120.0000 32.780882 207.219118 0.0008736
4:72-2:48 100.0000 12.780882 187.219118 0.0115280
1:96-2:48 149.1250 61.905882 236.344118 0.0000147
2:96-2:48 96.7500 9.530882 183.969118 0.0170209
3:96-2:48 13.7875 -73.431618 101.006618 0.9999998
4:96-2:48 105.7500 18.530882 192.969118 0.0056533
4:48-3:48 17.5000 -69.719118 104.719118 0.9999940
1:72-3:48 117.5000 30.280882 204.719118 0.0012228
2:72-3:48 67.5000 -19.719118 154.719118 0.3056759
3:72-3:48 85.0000 -2.219118 172.219118 0.0632367
4:72-3:48 65.0000 -22.219118 152.219118 0.3648930
1:96-3:48 114.1250 26.905882 201.344118 0.0019152
2:96-3:48 61.7500 -25.469118 148.969118 0.4497634
3:96-3:48 -21.2125 -108.431618 66.006618 0.9999296
4:96-3:48 70.7500 -16.469118 157.969118 0.2380346
1:72-4:48 100.0000 12.780882 187.219118 0.0115280
2:72-4:48 50.0000 -37.219118 137.219118 0.7732453
3:72-4:48 67.5000 -19.719118 154.719118 0.3056759
4:72-4:48 47.5000 -39.719118 134.719118 0.8303942
1:96-4:48 96.6250 9.405882 183.844118 0.0172743
2:96-4:48 44.2500 -42.969118 131.469118 0.8917708
3:96-4:48 -38.7125 -125.931618 48.506618 0.9599172
4:96-4:48 53.2500 -33.969118 140.469118 0.6889249
2:72-1:72 -50.0000 -137.219118 37.219118 0.7732453
3:72-1:72 -32.5000 -119.719118 54.719118 0.9916017
4:72-1:72 -52.5000 -139.719118 34.719118 0.7091793
1:96-1:72 -3.3750 -90.594118 83.844118 1.0000000
2:96-1:72 -55.7500 -142.969118 31.469118 0.6191534
3:96-1:72 -138.7125 -225.931618 -51.493382 0.0000650
4:96-1:72 -46.7500 -133.969118 40.469118 0.8459291
3:72-2:72 17.5000 -69.719118 104.719118 0.9999940
4:72-2:72 -2.5000 -89.719118 84.719118 1.0000000
1:96-2:72 46.6250 -40.594118 133.844118 0.8484407
2:96-2:72 -5.7500 -92.969118 81.469118 1.0000000
3:96-2:72 -88.7125 -175.931618 -1.493382 0.0425341
4:96-2:72 3.2500 -83.969118 90.469118 1.0000000
4:72-3:72 -20.0000 -107.219118 67.219118 0.9999664
1:96-3:72 29.1250 -58.094118 116.344118 0.9972398
2:96-3:72 -23.2500 -110.469118 63.969118 0.9997842
3:96-3:72 -106.2125 -193.431618 -18.993382 0.0053322
4:96-3:72 -14.2500 -101.469118 72.969118 0.9999996
1:96-4:72 49.1250 -38.094118 136.344118 0.7941313
2:96-4:72 -3.2500 -90.469118 83.969118 1.0000000
3:96-4:72 -86.2125 -173.431618 1.006618 0.0556668
4:96-4:72 5.7500 -81.469118 92.969118 1.0000000
2:96-1:96 -52.3750 -139.594118 34.844118 0.7125150
3:96-1:96 -135.3375 -222.556618 -48.118382 0.0001047
4:96-1:96 -43.3750 -130.594118 43.844118 0.9055774
3:96-2:96 -82.9625 -170.181618 4.256618 0.0779827
4:96-2:96 9.0000 -78.219118 96.219118 1.0000000
4:96-3:96 91.9625 4.743382 179.181618 0.0296306
Letras do Tukey:
$Periodo
1 2 3 4
"a" "b" "b" "b"
$Tempo
72 96 24 48
"a" "a" "b" "b"
$`Periodo:Tempo`
1:72 1:96 3:72 4:96 2:72 4:72 3:24 2:96 2:24 1:24 4:48 1:48 3:48 3:96 2:48
"a" "a" "ab" "ab" "ab" "abc" "abc" "abc" "abcd" "abcd" "bcd" "bcd" "bcd" "cde" "de"
4:24
"e"
########################### Variável: DMO_24 ##########################
ANOVA:
Df Sum Sq Mean Sq F value Pr(>F)
Periodo 3 3649 1216 0.602 0.6197
Tempo 1 12975 12975 6.427 0.0182 *
Periodo:Tempo 3 6097 2032 1.007 0.4070
Residuals 24 48454 2019
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
48 observations deleted due to missingness
Médias (emmeans):
Periodo Tempo emmean SE df lower.CL upper.CL
1 24 588 22.5 24 542 635
2 24 552 22.5 24 505 598
3 24 562 22.5 24 515 608
4 24 564 22.5 24 518 610
1 48 528 22.5 24 482 574
2 48 555 22.5 24 508 601
3 48 526 22.5 24 479 572
4 48 496 22.5 24 450 542
Confidence level used: 0.95
Tukey HSD:
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = formula, data = database)
$Periodo
diff lwr upr p adj
2-1 -4.776322 -66.75162 57.19897 0.9965090
3-1 -14.308333 -76.28363 47.66696 0.9190393
4-1 -27.964367 -89.93966 34.01093 0.6054946
3-2 -9.532011 -71.50730 52.44328 0.9737653
4-2 -23.188045 -85.16334 38.78725 0.7325702
4-3 -13.656034 -75.63133 48.31926 0.9285862
$Tempo
diff lwr upr p adj
48-24 -40.27199 -73.059 -7.484983 0.0181743
$`Periodo:Tempo`
diff lwr upr p adj
2:24-1:24 -36.356256 -141.58209 68.86958 0.9397917
3:24-1:24 -26.548184 -131.77402 78.67765 0.9890203
4:24-1:24 -24.129318 -129.35515 81.09651 0.9937565
1:48-1:24 -60.264360 -165.49019 44.96147 0.5657551
2:48-1:24 -33.460748 -138.68658 71.76508 0.9605167
3:48-1:24 -62.332841 -167.55867 42.89299 0.5254498
4:48-1:24 -92.063775 -197.28961 13.16206 0.1174505
3:24-2:24 9.808072 -95.41776 115.03390 0.9999824
4:24-2:24 12.226937 -92.99890 117.45277 0.9999215
1:48-2:24 -23.908104 -129.13394 81.31773 0.9940926
2:48-2:24 2.895508 -102.33033 108.12134 1.0000000
3:48-2:24 -25.976585 -131.20242 79.24925 0.9903298
4:48-2:24 -55.707519 -160.93335 49.51831 0.6547810
4:24-3:24 2.418866 -102.80697 107.64470 1.0000000
1:48-3:24 -33.716176 -138.94201 71.50966 0.9589230
2:48-3:24 -6.912564 -112.13840 98.31327 0.9999984
3:48-3:24 -35.784657 -141.01049 69.44118 0.9443559
4:48-3:24 -65.515591 -170.74142 39.71024 0.4648130
1:48-4:24 -36.135041 -141.36087 69.09079 0.9415864
2:48-4:24 -9.331430 -114.55726 95.89440 0.9999875
3:48-4:24 -38.203523 -143.42936 67.02231 0.9233867
4:48-4:24 -67.934456 -173.16029 37.29138 0.4205147
2:48-1:48 26.803612 -78.42222 132.02944 0.9883931
3:48-1:48 -2.068481 -107.29431 103.15735 1.0000000
4:48-1:48 -31.799415 -137.02525 73.42642 0.9698419
3:48-2:48 -28.872093 -134.09793 76.35374 0.9822602
4:48-2:48 -58.603027 -163.82886 46.62281 0.5983222
4:48-3:48 -29.730934 -134.95677 75.49490 0.9791062
Letras do Tukey:
$Periodo
$Periodo$Letters
1 2 3 4
"a" "a" "a" "a"
$Periodo$LetterMatrix
a
1 TRUE
2 TRUE
3 TRUE
4 TRUE
$Tempo
24 48
"a" "b"
$`Periodo:Tempo`
$`Periodo:Tempo`$Letters
1:24 4:24 3:24 2:48 2:24 1:48 3:48 4:48
"a" "a" "a" "a" "a" "a" "a" "a"
$`Periodo:Tempo`$LetterMatrix
a
1:24 TRUE
4:24 TRUE
3:24 TRUE
2:48 TRUE
2:24 TRUE
1:48 TRUE
3:48 TRUE
4:48 TRUE
########################### Variável: Gas_total ##########################
ANOVA:
Df Sum Sq Mean Sq F value Pr(>F)
Periodo 3 2143355 714452 12.790 2.89e-06 ***
Tempo 3 7507002 2502334 44.795 5.92e-14 ***
Periodo:Tempo 9 1235580 137287 2.458 0.0216 *
Residuals 48 2681386 55862
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
16 observations deleted due to missingness
Médias (emmeans):
Periodo Tempo emmean SE df lower.CL upper.CL
1 24 2571 118 48 2333 2809
2 24 2400 118 48 2162 2637
3 24 2224 118 48 1987 2462
4 24 1882 118 48 1645 2120
1 48 1817 118 48 1579 2055
2 48 1784 118 48 1546 2021
3 48 1755 118 48 1517 1993
4 48 1628 118 48 1390 1865
1 72 1653 118 48 1415 1891
2 72 1240 118 48 1003 1478
3 72 1005 118 48 767 1243
4 72 1314 118 48 1076 1551
1 96 2316 118 48 2079 2554
2 96 1572 118 48 1334 1809
3 96 1728 118 48 1491 1966
4 96 1640 118 48 1402 1878
Confidence level used: 0.95
Tukey HSD:
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = formula, data = database)
$Periodo
diff lwr upr p adj
2-1 -340.50 -562.8923 -118.10771 0.0009598
3-1 -411.25 -633.6423 -188.85771 0.0000608
4-1 -473.50 -695.8923 -251.10771 0.0000047
3-2 -70.75 -293.1423 151.64229 0.8318673
4-2 -133.00 -355.3923 89.39229 0.3929592
4-3 -62.25 -284.6423 160.14229 0.8783559
$Tempo
diff lwr upr p adj
48-24 -523.50 -745.8923 -301.1077 0.0000006
72-24 -966.25 -1188.6423 -743.8577 0.0000000
96-24 -455.25 -677.6423 -232.8577 0.0000101
72-48 -442.75 -665.1423 -220.3577 0.0000169
96-48 68.25 -154.1423 290.6423 0.8462601
96-72 511.00 288.6077 733.3923 0.0000010
$`Periodo:Tempo`
diff lwr upr p adj
2:24-1:24 -171.25 -775.02481 432.524815 0.9995509
3:24-1:24 -346.75 -950.52481 257.024815 0.7710413
4:24-1:24 -688.75 -1292.52481 -84.975185 0.0122566
1:48-1:24 -754.00 -1357.77481 -150.225185 0.0037742
2:48-1:24 -787.25 -1391.02481 -183.475185 0.0020194
3:48-1:24 -816.00 -1419.77481 -212.225185 0.0011627
4:48-1:24 -943.50 -1547.27481 -339.725185 0.0000915
1:72-1:24 -918.00 -1521.77481 -314.225185 0.0001536
2:72-1:24 -1330.50 -1934.27481 -726.725185 0.0000000
3:72-1:24 -1566.00 -2169.77481 -962.225185 0.0000000
4:72-1:24 -1257.25 -1861.02481 -653.475185 0.0000001
1:96-1:24 -254.50 -858.27481 349.274815 0.9739772
2:96-1:24 -999.50 -1603.27481 -395.725185 0.0000290
3:96-1:24 -842.75 -1446.52481 -238.975185 0.0006900
4:96-1:24 -931.00 -1534.77481 -327.225185 0.0001180
3:24-2:24 -175.50 -779.27481 428.274815 0.9994036
4:24-2:24 -517.50 -1121.27481 86.274815 0.1699061
1:48-2:24 -582.75 -1186.52481 21.024815 0.0688378
2:48-2:24 -616.00 -1219.77481 -12.225185 0.0412841
3:48-2:24 -644.75 -1248.52481 -40.975185 0.0259189
4:48-2:24 -772.25 -1376.02481 -168.475185 0.0026826
1:72-2:24 -746.75 -1350.52481 -142.975185 0.0043167
2:72-2:24 -1159.25 -1763.02481 -555.475185 0.0000010
3:72-2:24 -1394.75 -1998.52481 -790.975185 0.0000000
4:72-2:24 -1086.00 -1689.77481 -482.225185 0.0000048
1:96-2:24 -83.25 -687.02481 520.524815 1.0000000
2:96-2:24 -828.25 -1432.02481 -224.475185 0.0009164
3:96-2:24 -671.50 -1275.27481 -67.725185 0.0165195
4:96-2:24 -759.75 -1363.52481 -155.975185 0.0033910
4:24-3:24 -342.00 -945.77481 261.774815 0.7875674
1:48-3:24 -407.25 -1011.02481 196.524815 0.5312947
2:48-3:24 -440.50 -1044.27481 163.274815 0.3996265
3:48-3:24 -469.25 -1073.02481 134.524815 0.2992832
4:48-3:24 -596.75 -1200.52481 7.024815 0.0557150
1:72-3:24 -571.25 -1175.02481 32.524815 0.0815438
2:72-3:24 -983.75 -1587.52481 -379.975185 0.0000401
3:72-3:24 -1219.25 -1823.02481 -615.475185 0.0000003
4:72-3:24 -910.50 -1514.27481 -306.725185 0.0001787
1:96-3:24 92.25 -511.52481 696.024815 0.9999999
2:96-3:24 -652.75 -1256.52481 -48.975185 0.0226900
3:96-3:24 -496.00 -1099.77481 107.774815 0.2212580
4:96-3:24 -584.25 -1188.02481 19.524815 0.0673138
1:48-4:24 -65.25 -669.02481 538.524815 1.0000000
2:48-4:24 -98.50 -702.27481 505.274815 0.9999996
3:48-4:24 -127.25 -731.02481 476.524815 0.9999887
4:48-4:24 -254.75 -858.52481 349.024815 0.9737563
1:72-4:24 -229.25 -833.02481 374.524815 0.9899350
2:72-4:24 -641.75 -1245.52481 -37.975185 0.0272345
3:72-4:24 -877.25 -1481.02481 -273.475185 0.0003484
4:72-4:24 -568.50 -1172.27481 35.274815 0.0848634
1:96-4:24 434.25 -169.52481 1038.024815 0.4233643
2:96-4:24 -310.75 -914.52481 293.024815 0.8809334
3:96-4:24 -154.00 -757.77481 449.774815 0.9998735
4:96-4:24 -242.25 -846.02481 361.524815 0.9831770
2:48-1:48 -33.25 -637.02481 570.524815 1.0000000
3:48-1:48 -62.00 -665.77481 541.774815 1.0000000
4:48-1:48 -189.50 -793.27481 414.274815 0.9985857
1:72-1:48 -164.00 -767.77481 439.774815 0.9997300
2:72-1:48 -576.50 -1180.27481 27.274815 0.0755135
3:72-1:48 -812.00 -1415.77481 -208.225185 0.0012562
4:72-1:48 -503.25 -1107.02481 100.524815 0.2028204
1:96-1:48 499.50 -104.27481 1103.274815 0.2122129
2:96-1:48 -245.50 -849.27481 358.274815 0.9810311
3:96-1:48 -88.75 -692.52481 515.024815 0.9999999
4:96-1:48 -177.00 -780.77481 426.774815 0.9993425
3:48-2:48 -28.75 -632.52481 575.024815 1.0000000
4:48-2:48 -156.25 -760.02481 447.524815 0.9998490
1:72-2:48 -130.75 -734.52481 473.024815 0.9999839
2:72-2:48 -543.25 -1147.02481 60.524815 0.1210242
3:72-2:48 -778.75 -1382.52481 -174.975185 0.0023728
4:72-2:48 -470.00 -1073.77481 133.774815 0.2968843
1:96-2:48 532.75 -71.02481 1136.524815 0.1393823
2:96-2:48 -212.25 -816.02481 391.524815 0.9952955
3:96-2:48 -55.50 -659.27481 548.274815 1.0000000
4:96-2:48 -143.75 -747.52481 460.024815 0.9999460
4:48-3:48 -127.50 -731.27481 476.274815 0.9999884
1:72-3:48 -102.00 -705.77481 501.774815 0.9999994
2:72-3:48 -514.50 -1118.27481 89.274815 0.1764748
3:72-3:48 -750.00 -1353.77481 -146.225185 0.0040649
4:72-3:48 -441.25 -1045.02481 162.524815 0.3968187
1:96-3:48 561.50 -42.27481 1165.274815 0.0938348
2:96-3:48 -183.50 -787.27481 420.274815 0.9990107
3:96-3:48 -26.75 -630.52481 577.024815 1.0000000
4:96-3:48 -115.00 -718.77481 488.774815 0.9999970
1:72-4:48 25.50 -578.27481 629.274815 1.0000000
2:72-4:48 -387.00 -990.77481 216.774815 0.6147613
3:72-4:48 -622.50 -1226.27481 -18.725185 0.0372270
4:72-4:48 -313.75 -917.52481 290.024815 0.8732393
1:96-4:48 689.00 85.22519 1292.774815 0.0122032
2:96-4:48 -56.00 -659.77481 547.774815 1.0000000
3:96-4:48 100.75 -503.02481 704.524815 0.9999995
4:96-4:48 12.50 -591.27481 616.274815 1.0000000
2:72-1:72 -412.50 -1016.27481 191.274815 0.5098089
3:72-1:72 -648.00 -1251.77481 -44.225185 0.0245595
4:72-1:72 -339.25 -943.02481 264.524815 0.7968824
1:96-1:72 663.50 59.72519 1267.274815 0.0189326
2:96-1:72 -81.50 -685.27481 522.274815 1.0000000
3:96-1:72 75.25 -528.52481 679.024815 1.0000000
4:96-1:72 -13.00 -616.77481 590.774815 1.0000000
3:72-2:72 -235.50 -839.27481 368.274815 0.9870267
4:72-2:72 73.25 -530.52481 677.024815 1.0000000
1:96-2:72 1076.00 472.22519 1679.774815 0.0000059
2:96-2:72 331.00 -272.77481 934.774815 0.8236355
3:96-2:72 487.75 -116.02481 1091.524815 0.2436482
4:96-2:72 399.50 -204.27481 1003.274815 0.5632206
4:72-3:72 308.75 -295.02481 912.524815 0.8859044
1:96-3:72 1311.50 707.72519 1915.274815 0.0000000
2:96-3:72 566.50 -37.27481 1170.274815 0.0873493
3:96-3:72 723.25 119.47519 1327.024815 0.0066341
4:96-3:72 635.00 31.22519 1238.774815 0.0304202
1:96-4:72 1002.75 398.97519 1606.524815 0.0000271
2:96-4:72 257.75 -346.02481 861.524815 0.9709939
3:96-4:72 414.50 -189.27481 1018.274815 0.5016691
4:96-4:72 326.25 -277.52481 930.024815 0.8381799
2:96-1:96 -745.00 -1348.77481 -141.225185 0.0044584
3:96-1:96 -588.25 -1192.02481 15.524815 0.0633922
4:96-1:96 -676.50 -1280.27481 -72.725185 0.0151597
3:96-2:96 156.75 -447.02481 760.524815 0.9998431
4:96-2:96 68.50 -535.27481 672.274815 1.0000000
4:96-3:96 -88.25 -692.02481 515.524815 0.9999999
Letras do Tukey:
$Periodo
1 2 3 4
"a" "b" "b" "b"
$Tempo
24 96 48 72
"a" "b" "b" "c"
$`Periodo:Tempo`
1:24 2:24 1:96 3:24 4:24 1:48 2:48 3:48 3:96 1:72 4:96 4:48 2:96
"a" "ab" "abc" "abcd" "bcde" "bcdef" "cdef" "cdef" "cdef" "def" "def" "def" "efg"
4:72 2:72 3:72
"efg" "fg" "g"
########################### Variável: CH4_effic ##########################
ANOVA:
Df Sum Sq Mean Sq F value Pr(>F)
Periodo 3 22.99 7.662 2.184 0.11730
Tempo 1 29.03 29.030 8.275 0.00852 **
Periodo:Tempo 3 32.27 10.755 3.066 0.04818 *
Residuals 23 80.69 3.508
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
49 observations deleted due to missingness
Médias (emmeans):
Periodo Tempo emmean SE df lower.CL upper.CL
1 72 5.11 1.081 23 2.88 7.35
2 72 6.00 0.937 23 4.06 7.94
3 72 6.72 0.937 23 4.78 8.65
4 72 7.24 0.937 23 5.31 9.18
1 96 9.74 0.937 23 7.80 11.68
2 96 6.30 0.937 23 4.36 8.23
3 96 10.20 0.937 23 8.26 12.14
4 96 6.98 0.937 23 5.04 8.92
Confidence level used: 0.95
Tukey HSD:
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = formula, data = database)
$Periodo
diff lwr upr p adj
2-1 -1.6085305 -4.291090 1.074029 0.3670645
3-1 0.7013523 -1.981207 3.383912 0.8866984
4-1 -0.6445029 -3.327063 2.038057 0.9091800
3-2 2.3098828 -0.281716 4.901482 0.0924621
4-2 0.9640276 -1.627571 3.555626 0.7342301
4-3 -1.3458552 -3.937454 1.245744 0.4900889
$Tempo
diff lwr upr p adj
96-72 1.932947 0.5404168 3.325477 0.0086241
$`Periodo:Tempo`
diff lwr upr p adj
2:72-1:72 0.8861129 -3.8700069 5.642233 0.9982055
3:72-1:72 1.6029824 -3.1531374 6.359102 0.9454883
4:72-1:72 2.1321905 -2.6239293 6.888310 0.8046325
1:96-1:72 4.6266055 -0.1295142 9.382725 0.0605397
2:96-1:72 1.1843752 -3.5717445 5.940495 0.9895074
3:96-1:72 5.0872713 0.3311515 9.843391 0.0302422
4:96-1:72 1.8663529 -2.8897669 6.622473 0.8879384
3:72-2:72 0.7168695 -3.6864418 5.120181 0.9992423
4:72-2:72 1.2460775 -3.1572337 5.649389 0.9783173
1:96-2:72 3.7404926 -0.6628187 8.143804 0.1372170
2:96-2:72 0.2982623 -4.1050490 4.701574 0.9999980
3:96-2:72 4.2011584 -0.2021529 8.604470 0.0688908
4:96-2:72 0.9802400 -3.4230713 5.383551 0.9946053
4:72-3:72 0.5292080 -3.8741032 4.932519 0.9998977
1:96-3:72 3.0236231 -1.3796882 7.426934 0.3436467
2:96-3:72 -0.4186072 -4.8219185 3.984704 0.9999790
3:96-3:72 3.4842889 -0.9190224 7.887600 0.1952661
4:96-3:72 0.2633705 -4.1399408 4.666682 0.9999991
1:96-4:72 2.4944151 -1.9088962 6.897726 0.5745424
2:96-4:72 -0.9478152 -5.3511265 3.455496 0.9956015
3:96-4:72 2.9550809 -1.4482304 7.358392 0.3705535
4:96-4:72 -0.2658375 -4.6691488 4.137474 0.9999991
2:96-1:96 -3.4422303 -7.8455416 0.961081 0.2064088
3:96-1:96 0.4606658 -3.9426455 4.863977 0.9999598
4:96-1:96 -2.7602526 -7.1635639 1.643059 0.4528014
3:96-2:96 3.9028961 -0.5004152 8.306207 0.1084154
4:96-2:96 0.6819777 -3.7213336 5.085289 0.9994519
4:96-3:96 -3.2209184 -7.6242297 1.182393 0.2729973
Letras do Tukey:
$Periodo
$Periodo$Letters
3 1 4 2
"a" "a" "a" "a"
$Periodo$LetterMatrix
a
3 TRUE
1 TRUE
4 TRUE
2 TRUE
$Tempo
96 72
"a" "b"
$`Periodo:Tempo`
3:96 1:96 4:72 4:96 3:72 2:96 2:72 1:72
"a" "ab" "ab" "ab" "ab" "ab" "ab" "b"
########################### Variável: N_NH3 ##########################
ANOVA:
Df Sum Sq Mean Sq F value Pr(>F)
Periodo 3 75.5 25.2 1.624 0.20097
Tempo 2 1973.9 987.0 63.652 1.51e-12 ***
Periodo:Tempo 6 376.6 62.8 4.048 0.00336 **
Residuals 36 558.2 15.5
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
32 observations deleted due to missingness
Médias (emmeans):
Periodo Tempo emmean SE df lower.CL upper.CL
1 0 21.6 1.97 36 17.6 25.6
2 0 22.3 1.97 36 18.3 26.3
3 0 20.8 1.97 36 16.8 24.8
4 0 17.8 1.97 36 13.8 21.8
1 72 39.6 1.97 36 35.6 43.6
2 72 33.1 1.97 36 29.1 37.1
3 72 37.2 1.97 36 33.2 41.2
4 72 34.0 1.97 36 30.0 38.0
1 96 24.6 1.97 36 20.6 28.5
2 96 30.9 1.97 36 26.9 34.9
3 96 36.3 1.97 36 32.3 40.3
4 96 33.2 1.97 36 29.2 37.2
Confidence level used: 0.95
Tukey HSD:
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = formula, data = database)
$Periodo
diff lwr upr p adj
2-1 0.191250 -4.138289 4.520789 0.9993862
3-1 2.861667 -1.467873 7.191206 0.2992667
4-1 -0.233750 -4.563289 4.095789 0.9988826
3-2 2.670417 -1.659123 6.999956 0.3585992
4-2 -0.425000 -4.754539 3.904539 0.9934148
4-3 -3.095417 -7.424956 1.234123 0.2356047
$Tempo
diff lwr upr p adj
72-0 15.331875 11.928943 18.734807 0.0000000
96-0 10.625000 7.222068 14.027932 0.0000000
96-72 -4.706875 -8.109807 -1.303943 0.0048669
$`Periodo:Tempo`
diff lwr upr p adj
2:0-1:0 0.722500 -8.9958999 10.4408999 1.0000000
3:0-1:0 -0.807500 -10.5258999 8.9108999 1.0000000
4:0-1:0 -3.782500 -13.5008999 5.9358999 0.9642417
1:72-1:0 17.977500 8.2591001 27.6958999 0.0000102
2:72-1:0 11.475000 1.7566001 21.1933999 0.0098258
3:72-1:0 15.597500 5.8791001 25.3158999 0.0001342
4:72-1:0 12.410000 2.6916001 22.1283999 0.0038684
1:96-1:0 2.964375 -6.7540249 12.6827749 0.9944662
2:96-1:0 9.318125 -0.4002749 19.0365249 0.0702723
3:96-1:0 14.736875 5.0184751 24.4552749 0.0003384
4:96-1:0 11.613125 1.8947251 21.3315249 0.0085820
3:0-2:0 -1.530000 -11.2483999 8.1883999 0.9999890
4:0-2:0 -4.505000 -14.2233999 5.2133999 0.8911150
1:72-2:0 17.255000 7.5366001 26.9733999 0.0000223
2:72-2:0 10.752500 1.0341001 20.4708999 0.0196319
3:72-2:0 14.875000 5.1566001 24.5933999 0.0002919
4:72-2:0 11.687500 1.9691001 21.4058999 0.0079759
1:96-2:0 2.241875 -7.4765249 11.9602749 0.9995337
2:96-2:0 8.595625 -1.1227749 18.3140249 0.1252146
3:96-2:0 14.014375 4.2959751 23.7327749 0.0007303
4:96-2:0 10.890625 1.1722251 20.6090249 0.0172367
4:0-3:0 -2.975000 -12.6933999 6.7433999 0.9942999
1:72-3:0 18.785000 9.0666001 28.5033999 0.0000043
2:72-3:0 12.282500 2.5641001 22.0008999 0.0044018
3:72-3:0 16.405000 6.6866001 26.1233999 0.0000560
4:72-3:0 13.217500 3.4991001 22.9358999 0.0016860
1:96-3:0 3.771875 -5.9465249 13.4902749 0.9649354
2:96-3:0 10.125625 0.4072251 19.8440249 0.0349092
3:96-3:0 15.544375 5.8259751 25.2627749 0.0001421
4:96-3:0 12.420625 2.7022251 22.1390249 0.0038269
1:72-4:0 21.760000 12.0416001 31.4783999 0.0000002
2:72-4:0 15.257500 5.5391001 24.9758999 0.0001936
3:72-4:0 19.380000 9.6616001 29.0983999 0.0000022
4:72-4:0 16.192500 6.4741001 25.9108999 0.0000705
1:96-4:0 6.746875 -2.9715249 16.4652749 0.4172448
2:96-4:0 13.100625 3.3822251 22.8190249 0.0019036
3:96-4:0 18.519375 8.8009751 28.2377749 0.0000057
4:96-4:0 15.395625 5.6772251 25.1140249 0.0001668
2:72-1:72 -6.502500 -16.2208999 3.2158999 0.4719343
3:72-1:72 -2.380000 -12.0983999 7.3383999 0.9991891
4:72-1:72 -5.567500 -15.2858999 4.1508999 0.6906937
1:96-1:72 -15.013125 -24.7315249 -5.2947251 0.0002517
2:96-1:72 -8.659375 -18.3777749 1.0590249 0.1192396
3:96-1:72 -3.240625 -12.9590249 6.4777749 0.9886394
4:96-1:72 -6.364375 -16.0827749 3.3540249 0.5038344
3:72-2:72 4.122500 -5.5958999 13.8408999 0.9364778
4:72-2:72 0.935000 -8.7833999 10.6533999 0.9999999
1:96-2:72 -8.510625 -18.2290249 1.2077749 0.1335604
2:96-2:72 -2.156875 -11.8752749 7.5615249 0.9996758
3:96-2:72 3.261875 -6.4565249 12.9802749 0.9880428
4:96-2:72 0.138125 -9.5802749 9.8565249 1.0000000
4:72-3:72 -3.187500 -12.9058999 6.5308999 0.9900287
1:96-3:72 -12.633125 -22.3515249 -2.9147251 0.0030815
2:96-3:72 -6.279375 -15.9977749 3.4390249 0.5237202
3:96-3:72 -0.860625 -10.5790249 8.8577749 1.0000000
4:96-3:72 -3.984375 -13.7027749 5.7340249 0.9491055
1:96-4:72 -9.445625 -19.1640249 0.2727749 0.0631444
2:96-4:72 -3.091875 -12.8102749 6.6265249 0.9921877
3:96-4:72 2.326875 -7.3915249 12.0452749 0.9993411
4:96-4:72 -0.796875 -10.5152749 8.9215249 1.0000000
2:96-1:96 6.353750 -3.3646499 16.0721499 0.5063109
3:96-1:96 11.772500 2.0541001 21.4908999 0.0073332
4:96-1:96 8.648750 -1.0696499 18.3671499 0.1202188
3:96-2:96 5.418750 -4.2996499 15.1371499 0.7238864
4:96-2:96 2.295000 -7.4233999 12.0133999 0.9994201
4:96-3:96 -3.123750 -12.8421499 6.5946499 0.9915143
Letras do Tukey:
$Periodo
$Periodo$Letters
3 2 1 4
"a" "a" "a" "a"
$Periodo$LetterMatrix
a
3 TRUE
2 TRUE
1 TRUE
4 TRUE
$Tempo
72 96 0
"a" "b" "c"
$`Periodo:Tempo`
1:72 3:72 3:96 4:72 4:96 2:72 2:96 1:96 2:0 1:0 3:0 4:0
"a" "a" "a" "ab" "ab" "ab" "abc" "bcd" "cd" "cd" "d" "d"
########################### Variável: AGCC ##########################
ANOVA:
Df Sum Sq Mean Sq F value Pr(>F)
Periodo 3 6667 2222.4 11.430 2.06e-05 ***
Tempo 2 1667 833.3 4.286 0.0214 *
Periodo:Tempo 6 7871 1311.8 6.746 7.52e-05 ***
Residuals 36 7000 194.4
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
32 observations deleted due to missingness
Médias (emmeans):
Periodo Tempo emmean SE df lower.CL upper.CL
1 0 106.2 6.97 36 92.0 120.3
2 0 128.4 6.97 36 114.3 142.6
3 0 115.0 6.97 36 100.9 129.2
4 0 91.1 6.97 36 77.0 105.3
1 72 121.0 6.97 36 106.9 135.2
2 72 130.0 6.97 36 115.9 144.2
3 72 131.1 6.97 36 117.0 145.3
4 72 113.7 6.97 36 99.6 127.9
1 96 68.6 6.97 36 54.4 82.7
2 96 124.8 6.97 36 110.7 139.0
3 96 130.8 6.97 36 116.6 144.9
4 96 129.4 6.97 36 115.2 143.5
Confidence level used: 0.95
Tukey HSD:
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = formula, data = database)
$Periodo
diff lwr upr p adj
2-1 29.180679 13.848902 44.512455 0.0000585
3-1 27.054433 11.722657 42.386209 0.0001807
4-1 12.826569 -2.505207 28.158345 0.1284613
3-2 -2.126245 -17.458021 13.205531 0.9819428
4-2 -16.354110 -31.685886 -1.022334 0.0328073
4-3 -14.227864 -29.559640 1.103912 0.0770464
$Tempo
diff lwr upr p adj
72-0 13.785266 1.734793 25.835740 0.0219339
96-0 3.188794 -8.861680 15.239267 0.7953434
96-72 -10.596473 -22.646946 1.454001 0.0941211
$`Periodo:Tempo`
diff lwr upr p adj
2:0-1:0 22.2660325 -12.1487910 56.680856 0.5217648
3:0-1:0 8.8812900 -25.5335335 43.296114 0.9986962
4:0-1:0 -15.0144400 -49.4292635 19.400384 0.9242038
1:72-1:0 14.8741950 -19.5406285 49.289019 0.9285046
2:72-1:0 23.8876925 -10.5271310 58.302516 0.4175135
3:72-1:0 24.9574025 -9.4574210 59.372226 0.3540405
4:72-1:0 7.5546575 -26.8601660 41.969481 0.9997078
1:96-1:0 -37.5967338 -72.0115573 -3.181910 0.0222815
2:96-1:0 18.6657719 -15.7490516 53.080595 0.7556061
3:96-1:0 24.6020681 -9.8127554 59.016892 0.3745450
4:96-1:0 23.2169506 -11.1978729 57.631774 0.4596965
3:0-2:0 -13.3847425 -47.7995660 21.030081 0.9644244
4:0-2:0 -37.2804725 -71.6952960 -2.865649 0.0242046
1:72-2:0 -7.3918375 -41.8066610 27.022986 0.9997625
2:72-2:0 1.6216600 -32.7931635 36.036484 1.0000000
3:72-2:0 2.6913700 -31.7234535 37.106194 1.0000000
4:72-2:0 -14.7113750 -49.1261985 19.703449 0.9332913
1:96-2:0 -59.8627662 -94.2775898 -25.447943 0.0000326
2:96-2:0 -3.6002606 -38.0150841 30.814563 0.9999998
3:96-2:0 2.3360356 -32.0787879 36.750859 1.0000000
4:96-2:0 0.9509181 -33.4639054 35.365742 1.0000000
4:0-3:0 -23.8957300 -58.3105535 10.519094 0.4170181
1:72-3:0 5.9929050 -28.4219185 40.407729 0.9999696
2:72-3:0 15.0064025 -19.4084210 49.421226 0.9244548
3:72-3:0 16.0761125 -18.3387110 50.490936 0.8862221
4:72-3:0 -1.3266325 -35.7414560 33.088191 1.0000000
1:96-3:0 -46.4780238 -80.8928473 -12.063200 0.0018563
2:96-3:0 9.7844819 -24.6303416 44.199305 0.9969449
3:96-3:0 15.7207781 -18.6940454 50.135602 0.9000060
4:96-3:0 14.3356606 -20.0791629 48.750484 0.9435045
1:72-4:0 29.8886350 -4.5261885 64.303459 0.1408069
2:72-4:0 38.9021325 4.4873090 73.316956 0.0157520
3:72-4:0 39.9718425 5.5570190 74.386666 0.0117886
4:72-4:0 22.5690975 -11.8457260 56.983921 0.5017596
1:96-4:0 -22.5822938 -56.9971173 11.832530 0.5008925
2:96-4:0 33.6802119 -0.7346116 68.095035 0.0597450
3:96-4:0 39.6165081 5.2016846 74.031332 0.0129869
4:96-4:0 38.2313906 3.8165671 72.646214 0.0188432
2:72-1:72 9.0134975 -25.4013260 43.428321 0.9985118
3:72-1:72 10.0832075 -24.3316160 44.498031 0.9960509
4:72-1:72 -7.3195375 -41.7343610 27.095286 0.9997838
1:96-1:72 -52.4709287 -86.8857523 -18.056105 0.0003105
2:96-1:72 3.7915769 -30.6232466 38.206400 0.9999997
3:96-1:72 9.7278731 -24.6869504 44.142697 0.9970938
4:96-1:72 8.3427556 -26.0720679 42.757579 0.9992614
3:72-2:72 1.0697100 -33.3451135 35.484534 1.0000000
4:72-2:72 -16.3330350 -50.7478585 18.081789 0.8755881
1:96-2:72 -61.4844262 -95.8992498 -27.069603 0.0000198
2:96-2:72 -5.2219206 -39.6367441 29.192903 0.9999925
3:96-2:72 0.7143756 -33.7004479 35.129199 1.0000000
4:96-2:72 -0.6707419 -35.0855654 33.744082 1.0000000
4:72-3:72 -17.4027450 -51.8175685 17.012079 0.8255052
1:96-3:72 -62.5541362 -96.9689598 -28.139313 0.0000143
2:96-3:72 -6.2916306 -40.7064541 28.123193 0.9999506
3:96-3:72 -0.3553344 -34.7701579 34.059489 1.0000000
4:96-3:72 -1.7404519 -36.1552754 32.674372 1.0000000
1:96-4:72 -45.1513912 -79.5662148 -10.736568 0.0027328
2:96-4:72 11.1111144 -23.3037091 45.525938 0.9912061
3:96-4:72 17.0474106 -17.3674129 51.462234 0.8431491
4:96-4:72 15.6622931 -18.7525304 50.077117 0.9021714
2:96-1:96 56.2625056 21.8476821 90.677329 0.0000980
3:96-1:96 62.1988019 27.7839784 96.613625 0.0000159
4:96-1:96 60.8136844 26.3988609 95.228508 0.0000244
3:96-2:96 5.9362963 -28.4785273 40.351120 0.9999724
4:96-2:96 4.5511788 -29.8636448 38.966002 0.9999982
4:96-3:96 -1.3851175 -35.7999410 33.029706 1.0000000
Letras do Tukey:
$Periodo
2 3 4 1
"a" "ab" "bc" "c"
$Tempo
72 96 0
"a" "ab" "b"
$`Periodo:Tempo`
3:72 3:96 2:72 4:96 2:0 2:96 1:72 3:0 4:72 1:0 4:0 1:96
"a" "a" "a" "a" "a" "ab" "ab" "ab" "ab" "ab" "bc" "c"
########################### Variável: Ac_Pr ##########################
ANOVA:
Df Sum Sq Mean Sq F value Pr(>F)
Periodo 3 2.26 0.753 14.323 2.66e-06 ***
Tempo 2 53.47 26.733 508.502 < 2e-16 ***
Periodo:Tempo 6 1.76 0.293 5.577 0.000359 ***
Residuals 36 1.89 0.053
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
32 observations deleted due to missingness
Médias (emmeans):
Periodo Tempo emmean SE df lower.CL upper.CL
1 0 4.42 0.115 36 4.19 4.65
2 0 5.20 0.115 36 4.96 5.43
3 0 4.92 0.115 36 4.69 5.16
4 0 4.66 0.115 36 4.43 4.90
1 72 2.88 0.115 36 2.65 3.11
2 72 2.62 0.115 36 2.39 2.86
3 72 2.73 0.115 36 2.50 2.96
4 72 2.27 0.115 36 2.03 2.50
1 96 2.13 0.115 36 1.89 2.36
2 96 2.74 0.115 36 2.50 2.97
3 96 2.93 0.115 36 2.70 3.16
4 96 2.22 0.115 36 1.98 2.45
Confidence level used: 0.95
Tukey HSD:
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = formula, data = database)
$Periodo
diff lwr upr p adj
2-1 0.377410866 0.1253086 0.6295131 0.0015024
3-1 0.386676925 0.1345747 0.6387792 0.0011303
4-1 -0.093451086 -0.3455534 0.1586512 0.7512829
3-2 0.009266059 -0.2428362 0.2613683 0.9996458
4-2 -0.470861952 -0.7229642 -0.2187597 0.0000782
4-3 -0.480128011 -0.7322303 -0.2280257 0.0000579
$Tempo
diff lwr upr p adj
72-0 -2.1740818 -2.3722292 -1.97593435 0.0000000
96-0 -2.2984497 -2.4965971 -2.10030228 0.0000000
96-72 -0.1243679 -0.3225153 0.07377948 0.2872902
$`Periodo:Tempo`
diff lwr upr p adj
2:0-1:0 0.778170294 0.21228313 1.34405746 0.0014471
3:0-1:0 0.505775157 -0.06011201 1.07166232 0.1168101
4:0-1:0 0.244903149 -0.32098402 0.81079031 0.9279086
1:72-1:0 -1.536277864 -2.10216503 -0.97039070 0.0000000
2:72-1:0 -1.794264557 -2.36015172 -1.22837739 0.0000000
3:72-1:0 -1.685433833 -2.25132100 -1.11954667 0.0000000
4:72-1:0 -2.151502202 -2.71738937 -1.58561504 0.0000000
1:96-1:0 -2.292594670 -2.85848184 -1.72670750 0.0000000
2:96-1:0 -1.680545673 -2.24643284 -1.11465851 0.0000000
3:96-1:0 -1.489183083 -2.05507025 -0.92329592 0.0000000
4:96-1:0 -2.202626738 -2.76851390 -1.63673957 0.0000000
3:0-2:0 -0.272395137 -0.83828230 0.29349203 0.8654722
4:0-2:0 -0.533267146 -1.09915431 0.03262002 0.0801991
1:72-2:0 -2.314448158 -2.88033532 -1.74856099 0.0000000
2:72-2:0 -2.572434851 -3.13832202 -2.00654769 0.0000000
3:72-2:0 -2.463604127 -3.02949129 -1.89771696 0.0000000
4:72-2:0 -2.929672496 -3.49555966 -2.36378533 0.0000000
1:96-2:0 -3.070764964 -3.63665213 -2.50487780 0.0000000
2:96-2:0 -2.458715968 -3.02460313 -1.89282880 0.0000000
3:96-2:0 -2.267353377 -2.83324054 -1.70146621 0.0000000
4:96-2:0 -2.980797032 -3.54668420 -2.41490987 0.0000000
4:0-3:0 -0.260872008 -0.82675917 0.30501516 0.8945369
1:72-3:0 -2.042053021 -2.60794019 -1.47616585 0.0000000
2:72-3:0 -2.300039714 -2.86592688 -1.73415255 0.0000000
3:72-3:0 -2.191208989 -2.75709616 -1.62532182 0.0000000
4:72-3:0 -2.657277359 -3.22316452 -2.09139019 0.0000000
1:96-3:0 -2.798369827 -3.36425699 -2.23248266 0.0000000
2:96-3:0 -2.186320830 -2.75220800 -1.62043366 0.0000000
3:96-3:0 -1.994958240 -2.56084541 -1.42907107 0.0000000
4:96-3:0 -2.708401895 -3.27428906 -2.14251473 0.0000000
1:72-4:0 -1.781181012 -2.34706818 -1.21529385 0.0000000
2:72-4:0 -2.039167705 -2.60505487 -1.47328054 0.0000000
3:72-4:0 -1.930336981 -2.49622415 -1.36444982 0.0000000
4:72-4:0 -2.396405351 -2.96229252 -1.83051818 0.0000000
1:96-4:0 -2.537497819 -3.10338498 -1.97161065 0.0000000
2:96-4:0 -1.925448822 -2.49133599 -1.35956166 0.0000000
3:96-4:0 -1.734086232 -2.29997340 -1.16819907 0.0000000
4:96-4:0 -2.447529886 -3.01341705 -1.88164272 0.0000000
2:72-1:72 -0.257986693 -0.82387386 0.30790047 0.9011625
3:72-1:72 -0.149155969 -0.71504313 0.41673120 0.9984250
4:72-1:72 -0.615224338 -1.18111150 -0.04933717 0.0233667
1:96-1:72 -0.756316806 -1.32220397 -0.19042964 0.0021374
2:96-1:72 -0.144267810 -0.71015498 0.42161936 0.9988315
3:96-1:72 0.047094781 -0.51879238 0.61298195 1.0000000
4:96-1:72 -0.666348874 -1.23223604 -0.10046171 0.0101306
3:72-2:72 0.108830724 -0.45705644 0.67471789 0.9999186
4:72-2:72 -0.357237645 -0.92312481 0.20864952 0.5577629
1:96-2:72 -0.498330113 -1.06421728 0.06755705 0.1288359
2:96-2:72 0.113718883 -0.45216828 0.67960605 0.9998750
3:96-2:72 0.305081474 -0.26080569 0.87096864 0.7622116
4:96-2:72 -0.408362181 -0.97424935 0.15752498 0.3610442
4:72-3:72 -0.466068369 -1.03195554 0.09981880 0.1929391
1:96-3:72 -0.607160837 -1.17304800 -0.04127367 0.0265496
2:96-3:72 0.004888159 -0.56099901 0.57077533 1.0000000
3:96-3:72 0.196250750 -0.36963642 0.76213792 0.9846038
4:96-3:72 -0.517192905 -1.08308007 0.04869426 0.1001849
1:96-4:72 -0.141092468 -0.70697963 0.42479470 0.9990449
2:96-4:72 0.470956529 -0.09493064 1.03684369 0.1819009
3:96-4:72 0.662319119 0.09643195 1.22820628 0.0108365
4:96-4:72 -0.051124536 -0.61701170 0.51476263 1.0000000
2:96-1:96 0.612048996 0.04616183 1.17793616 0.0245754
3:96-1:96 0.803411587 0.23752442 1.36929875 0.0009183
4:96-1:96 0.089967932 -0.47591923 0.65585510 0.9999879
3:96-2:96 0.191362590 -0.37452458 0.75724976 0.9873236
4:96-2:96 -0.522081064 -1.08796823 0.04380610 0.0937022
4:96-3:96 -0.713443655 -1.27933082 -0.14755649 0.0045373
Letras do Tukey:
$Periodo
3 2 1 4
"a" "a" "b" "b"
$Tempo
0 72 96
"a" "b" "b"
$`Periodo:Tempo`
2:0 3:0 4:0 1:0 3:96 1:72 2:96 3:72 2:72 4:72 4:96 1:96
"a" "ab" "ab" "b" "c" "c" "cd" "cd" "cde" "de" "de" "e"
5 Fermentador x Periodo
for (var in variables1) {
cat("\n\n########################### Variável:", var, "##########################\n")
formula <- as.formula(paste(var, "~ Fermentador * Periodo"))
mod <- aov(formula, data = database)
cat("ANOVA:\n")
print(summary(mod))
cat("\nMédias (emmeans):\n")
medias <- emmeans(mod, ~ Fermentador * Periodo)
print(summary(medias))
cat("\nTukey HSD:\n")
tukey <- TukeyHSD(mod)
print(tukey)
cat("\nLetras do Tukey:\n")
letras <- multcompLetters4(mod, tukey)
print(letras)
}
########################### Variável: Efluente_total ##########################
ANOVA:
Df Sum Sq Mean Sq F value Pr(>F)
Fermentador 3 10316 3439 0.768 0.518
Periodo 3 25610 8537 1.906 0.141
Fermentador:Periodo 9 3831 426 0.095 1.000
Residuals 48 214963 4478
16 observations deleted due to missingness
Médias (emmeans):
Fermentador Periodo emmean SE df lower.CL upper.CL
1 1 399 33.5 48 332 467
2 1 439 33.5 48 372 507
3 1 412 33.5 48 344 479
4 1 423 33.5 48 355 490
1 2 370 33.5 48 303 437
2 2 396 33.5 48 329 464
3 2 385 33.5 48 318 452
4 2 390 33.5 48 323 458
1 3 346 33.5 48 279 414
2 3 390 33.5 48 323 457
3 3 406 33.5 48 339 474
4 3 384 33.5 48 316 451
1 4 348 33.5 48 281 416
2 4 375 33.5 48 308 443
3 4 363 33.5 48 295 430
4 4 364 33.5 48 297 431
Confidence level used: 0.95
Tukey HSD:
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = formula, data = database)
$Fermentador
diff lwr upr p adj
2-1 34.185000 -28.78334 97.15334 0.4783046
3-1 25.401250 -37.56709 88.36959 0.7071040
4-1 24.246875 -38.72146 87.21521 0.7358307
3-2 -8.783750 -71.75209 54.18459 0.9823270
4-2 -9.938125 -72.90646 53.03021 0.9747877
4-3 -1.154375 -64.12271 61.81396 0.9999577
$Periodo
diff lwr upr p adj
2-1 -32.781250 -95.74959 30.187088 0.5144267
3-1 -36.646875 -99.61521 26.321463 0.4170904
4-1 -55.593750 -118.56209 7.374588 0.1010874
3-2 -3.865625 -66.83396 59.102713 0.9984260
4-2 -22.812500 -85.78084 40.155838 0.7702657
4-3 -18.946875 -81.91521 44.021463 0.8536974
$`Fermentador:Periodo`
diff lwr upr p adj
2:1-1:1 40.0000 -130.9533 210.9533 0.9999566
3:1-1:1 12.5000 -158.4533 183.4533 1.0000000
4:1-1:1 23.3750 -147.5783 194.3283 1.0000000
1:2-1:1 -29.2500 -200.2033 141.7033 0.9999993
2:2-1:1 -3.0000 -173.9533 167.9533 1.0000000
3:2-1:1 -14.2500 -185.2033 156.7033 1.0000000
4:2-1:1 -8.7500 -179.7033 162.2033 1.0000000
1:3-1:1 -52.9800 -223.9333 117.9733 0.9987703
2:3-1:1 -9.2400 -180.1933 161.7133 1.0000000
3:3-1:1 7.0000 -163.9533 177.9533 1.0000000
4:3-1:1 -15.4925 -186.4458 155.4608 1.0000000
1:4-1:1 -50.7500 -221.7033 120.2033 0.9992412
2:4-1:1 -24.0000 -194.9533 146.9533 1.0000000
3:4-1:1 -36.6250 -207.5783 134.3283 0.9999860
4:4-1:1 -35.1250 -206.0783 135.8283 0.9999919
3:1-2:1 -27.5000 -198.4533 143.4533 0.9999997
4:1-2:1 -16.6250 -187.5783 154.3283 1.0000000
1:2-2:1 -69.2500 -240.2033 101.7033 0.9816603
2:2-2:1 -43.0000 -213.9533 127.9533 0.9998933
3:2-2:1 -54.2500 -225.2033 116.7033 0.9984040
4:2-2:1 -48.7500 -219.7033 122.2033 0.9995218
1:3-2:1 -92.9800 -263.9333 77.9733 0.8317143
2:3-2:1 -49.2400 -220.1933 121.7133 0.9994631
3:3-2:1 -33.0000 -203.9533 137.9533 0.9999964
4:3-2:1 -55.4925 -226.4458 115.4608 0.9979595
1:4-2:1 -90.7500 -261.7033 80.2033 0.8548656
2:4-2:1 -64.0000 -234.9533 106.9533 0.9912123
3:4-2:1 -76.6250 -247.5783 94.3283 0.9566227
4:4-2:1 -75.1250 -246.0783 95.8283 0.9630518
4:1-3:1 10.8750 -160.0783 181.8283 1.0000000
1:2-3:1 -41.7500 -212.7033 129.2033 0.9999259
2:2-3:1 -15.5000 -186.4533 155.4533 1.0000000
3:2-3:1 -26.7500 -197.7033 144.2033 0.9999998
4:2-3:1 -21.2500 -192.2033 149.7033 1.0000000
1:3-3:1 -65.4800 -236.4333 105.4733 0.9890619
2:3-3:1 -21.7400 -192.6933 149.2133 1.0000000
3:3-3:1 -5.5000 -176.4533 165.4533 1.0000000
4:3-3:1 -27.9925 -198.9458 142.9608 0.9999996
1:4-3:1 -63.2500 -234.2033 107.7033 0.9921638
2:4-3:1 -36.5000 -207.4533 134.4533 0.9999866
3:4-3:1 -49.1250 -220.0783 121.8283 0.9994774
4:4-3:1 -47.6250 -218.5783 123.3283 0.9996359
1:2-4:1 -52.6250 -223.5783 118.3283 0.9988588
2:2-4:1 -26.3750 -197.3283 144.5783 0.9999998
3:2-4:1 -37.6250 -208.5783 133.3283 0.9999801
4:2-4:1 -32.1250 -203.0783 138.8283 0.9999975
1:3-4:1 -76.3550 -247.3083 94.5983 0.9578356
2:3-4:1 -32.6150 -203.5683 138.3383 0.9999970
3:3-4:1 -16.3750 -187.3283 154.5783 1.0000000
4:3-4:1 -38.8675 -209.8208 132.0858 0.9999699
1:4-4:1 -74.1250 -245.0783 96.8283 0.9669309
2:4-4:1 -47.3750 -218.3283 123.5783 0.9996577
3:4-4:1 -60.0000 -230.9533 110.9533 0.9953720
4:4-4:1 -58.5000 -229.4533 112.4533 0.9964334
2:2-1:2 26.2500 -144.7033 197.2033 0.9999998
3:2-1:2 15.0000 -155.9533 185.9533 1.0000000
4:2-1:2 20.5000 -150.4533 191.4533 1.0000000
1:3-1:2 -23.7300 -194.6833 147.2233 1.0000000
2:3-1:2 20.0100 -150.9433 190.9633 1.0000000
3:3-1:2 36.2500 -134.7033 207.2033 0.9999877
4:3-1:2 13.7575 -157.1958 184.7108 1.0000000
1:4-1:2 -21.5000 -192.4533 149.4533 1.0000000
2:4-1:2 5.2500 -165.7033 176.2033 1.0000000
3:4-1:2 -7.3750 -178.3283 163.5783 1.0000000
4:4-1:2 -5.8750 -176.8283 165.0783 1.0000000
3:2-2:2 -11.2500 -182.2033 159.7033 1.0000000
4:2-2:2 -5.7500 -176.7033 165.2033 1.0000000
1:3-2:2 -49.9800 -220.9333 120.9733 0.9993626
2:3-2:2 -6.2400 -177.1933 164.7133 1.0000000
3:3-2:2 10.0000 -160.9533 180.9533 1.0000000
4:3-2:2 -12.4925 -183.4458 158.4608 1.0000000
1:4-2:2 -47.7500 -218.7033 123.2033 0.9996245
2:4-2:2 -21.0000 -191.9533 149.9533 1.0000000
3:4-2:2 -33.6250 -204.5783 137.3283 0.9999954
4:4-2:2 -32.1250 -203.0783 138.8283 0.9999975
4:2-3:2 5.5000 -165.4533 176.4533 1.0000000
1:3-3:2 -38.7300 -209.6833 132.2233 0.9999712
2:3-3:2 5.0100 -165.9433 175.9633 1.0000000
3:3-3:2 21.2500 -149.7033 192.2033 1.0000000
4:3-3:2 -1.2425 -172.1958 169.7108 1.0000000
1:4-3:2 -36.5000 -207.4533 134.4533 0.9999866
2:4-3:2 -9.7500 -180.7033 161.2033 1.0000000
3:4-3:2 -22.3750 -193.3283 148.5783 1.0000000
4:4-3:2 -20.8750 -191.8283 150.0783 1.0000000
1:3-4:2 -44.2300 -215.1833 126.7233 0.9998495
2:3-4:2 -0.4900 -171.4433 170.4633 1.0000000
3:3-4:2 15.7500 -155.2033 186.7033 1.0000000
4:3-4:2 -6.7425 -177.6958 164.2108 1.0000000
1:4-4:2 -42.0000 -212.9533 128.9533 0.9999202
2:4-4:2 -15.2500 -186.2033 155.7033 1.0000000
3:4-4:2 -27.8750 -198.8283 143.0783 0.9999996
4:4-4:2 -26.3750 -197.3283 144.5783 0.9999998
2:3-1:3 43.7400 -127.2133 214.6933 0.9998685
3:3-1:3 59.9800 -110.9733 230.9333 0.9953877
4:3-1:3 37.4875 -133.4658 208.4408 0.9999810
1:4-1:3 2.2300 -168.7233 173.1833 1.0000000
2:4-1:3 28.9800 -141.9733 199.9333 0.9999994
3:4-1:3 16.3550 -154.5983 187.3083 1.0000000
4:4-1:3 17.8550 -153.0983 188.8083 1.0000000
3:3-2:3 16.2400 -154.7133 187.1933 1.0000000
4:3-2:3 -6.2525 -177.2058 164.7008 1.0000000
1:4-2:3 -41.5100 -212.4633 129.4433 0.9999310
2:4-2:3 -14.7600 -185.7133 156.1933 1.0000000
3:4-2:3 -27.3850 -198.3383 143.5683 0.9999997
4:4-2:3 -25.8850 -196.8383 145.0683 0.9999999
4:3-3:3 -22.4925 -193.4458 148.4608 1.0000000
1:4-3:3 -57.7500 -228.7033 113.2033 0.9968827
2:4-3:3 -31.0000 -201.9533 139.9533 0.9999985
3:4-3:3 -43.6250 -214.5783 127.3283 0.9998727
4:4-3:3 -42.1250 -213.0783 128.8283 0.9999172
1:4-4:3 -35.2575 -206.2108 135.6958 0.9999914
2:4-4:3 -8.5075 -179.4608 162.4458 1.0000000
3:4-4:3 -21.1325 -192.0858 149.8208 1.0000000
4:4-4:3 -19.6325 -190.5858 151.3208 1.0000000
2:4-1:4 26.7500 -144.2033 197.7033 0.9999998
3:4-1:4 14.1250 -156.8283 185.0783 1.0000000
4:4-1:4 15.6250 -155.3283 186.5783 1.0000000
3:4-2:4 -12.6250 -183.5783 158.3283 1.0000000
4:4-2:4 -11.1250 -182.0783 159.8283 1.0000000
4:4-3:4 1.5000 -169.4533 172.4533 1.0000000
Letras do Tukey:
$Fermentador
$Fermentador$Letters
2 3 4 1
"a" "a" "a" "a"
$Fermentador$LetterMatrix
a
2 TRUE
3 TRUE
4 TRUE
1 TRUE
$Periodo
$Periodo$Letters
1 2 3 4
"a" "a" "a" "a"
$Periodo$LetterMatrix
a
1 TRUE
2 TRUE
3 TRUE
4 TRUE
$`Fermentador:Periodo`
$`Fermentador:Periodo`$Letters
2:1 4:1 3:1 3:3 1:1 2:2 4:2 2:3 3:2 4:3 2:4 1:2 4:4 3:4 1:4 1:3
"a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a"
$`Fermentador:Periodo`$LetterMatrix
a
2:1 TRUE
4:1 TRUE
3:1 TRUE
3:3 TRUE
1:1 TRUE
2:2 TRUE
4:2 TRUE
2:3 TRUE
3:2 TRUE
4:3 TRUE
2:4 TRUE
1:2 TRUE
4:4 TRUE
3:4 TRUE
1:4 TRUE
1:3 TRUE
########################### Variável: DMO_24 ##########################
ANOVA:
Df Sum Sq Mean Sq F value Pr(>F)
Fermentador 3 6856 2285 1.054 0.396
Periodo 3 3649 1216 0.561 0.648
Fermentador:Periodo 9 25983 2887 1.332 0.295
Residuals 16 34686 2168
48 observations deleted due to missingness
Médias (emmeans):
Fermentador Periodo emmean SE df lower.CL upper.CL
1 1 551 32.9 16 481 620
2 1 578 32.9 16 508 647
3 1 583 32.9 16 513 653
4 1 521 32.9 16 452 591
1 2 528 32.9 16 458 598
2 2 540 32.9 16 470 609
3 2 520 32.9 16 451 590
4 2 625 32.9 16 555 695
1 3 554 32.9 16 484 624
2 3 491 32.9 16 421 561
3 3 569 32.9 16 499 638
4 3 561 32.9 16 492 631
1 4 555 32.9 16 486 625
2 4 493 32.9 16 423 563
3 4 514 32.9 16 444 583
4 4 559 32.9 16 489 628
Confidence level used: 0.95
Tukey HSD:
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = formula, data = database)
$Fermentador
diff lwr upr p adj
2-1 -21.7846358 -88.38961 44.82034 0.7863843
3-1 -0.7137667 -67.31874 65.89121 0.9999892
4-1 19.5975394 -47.00743 86.20251 0.8338521
3-2 21.0708691 -45.53410 87.67584 0.8023693
4-2 41.3821752 -25.22280 107.98715 0.3192131
4-3 20.3113061 -46.29367 86.91628 0.8188688
$Periodo
diff lwr upr p adj
2-1 -4.776322 -71.38130 61.82865 0.9968154
3-1 -14.308333 -80.91331 52.29664 0.9259278
4-1 -27.964367 -94.56934 38.64061 0.6348643
3-2 -9.532011 -76.13698 57.07296 0.9760428
4-2 -23.188045 -89.79302 43.41693 0.7537585
4-3 -13.656034 -80.26101 52.94894 0.9346830
$`Fermentador:Periodo`
diff lwr upr p adj
2:1-1:1 27.088261 -159.32095 213.49747 0.9999990
3:1-1:1 32.207706 -154.20151 218.61692 0.9999902
4:1-1:1 -29.169908 -215.57912 157.23931 0.9999973
1:2-1:1 -22.571640 -208.98085 163.83757 0.9999999
2:2-1:1 -10.856094 -197.26531 175.55312 1.0000000
3:2-1:1 -30.172227 -216.58144 156.23699 0.9999957
4:2-1:1 74.620731 -111.78848 261.02994 0.9455785
1:3-1:1 3.671210 -182.73800 190.08042 1.0000000
2:3-1:1 -59.697906 -246.10712 126.71131 0.9908886
3:3-1:1 18.031665 -168.37755 204.44088 1.0000000
4:3-1:1 10.887759 -175.52145 197.29697 1.0000000
1:4-1:1 4.878331 -181.53088 191.28754 1.0000000
2:4-1:1 -57.694904 -244.10412 128.71431 0.9933234
3:4-1:1 -36.944311 -223.35352 149.46490 0.9999458
4:4-1:1 8.029476 -178.37974 194.43869 1.0000000
3:1-2:1 5.119445 -181.28977 191.52866 1.0000000
4:1-2:1 -56.258169 -242.66738 130.15104 0.9947255
1:2-2:1 -49.659901 -236.06911 136.74931 0.9984695
2:2-2:1 -37.944354 -224.35357 148.46486 0.9999253
3:2-2:1 -57.260487 -243.66970 129.14873 0.9937755
4:2-2:1 47.532470 -138.87674 233.94168 0.9990345
1:3-2:1 -23.417051 -209.82626 162.99216 0.9999999
2:3-2:1 -86.786167 -273.19538 99.62305 0.8590479
3:3-2:1 -9.056595 -195.46581 177.35262 1.0000000
4:3-2:1 -16.200502 -202.60972 170.20871 1.0000000
1:4-2:1 -22.209930 -208.61914 164.19928 0.9999999
2:4-2:1 -84.783165 -271.19238 101.62605 0.8766080
3:4-2:1 -64.032572 -250.44179 122.37664 0.9832590
4:4-2:1 -19.058784 -205.46800 167.35043 1.0000000
4:1-3:1 -61.377614 -247.78683 125.03160 0.9883503
1:2-3:1 -54.779346 -241.18856 131.62987 0.9959103
2:2-3:1 -43.063799 -229.47301 143.34541 0.9996736
3:2-3:1 -62.379932 -248.78915 124.02928 0.9865931
4:2-3:1 42.413025 -143.99619 228.82224 0.9997253
1:3-3:1 -28.536496 -214.94571 157.87272 0.9999979
2:3-3:1 -91.905612 -278.31482 94.50360 0.8088405
3:3-3:1 -14.176040 -200.58525 172.23317 1.0000000
4:3-3:1 -21.319947 -207.72916 165.08927 1.0000000
1:4-3:1 -27.329375 -213.73859 159.07984 0.9999988
2:4-3:1 -89.902610 -276.31182 96.50660 0.8293447
3:4-3:1 -69.152017 -255.56123 117.25720 0.9689164
4:4-3:1 -24.178229 -210.58744 162.23098 0.9999998
1:2-4:1 6.598268 -179.81095 193.00748 1.0000000
2:2-4:1 18.313815 -168.09540 204.72303 1.0000000
3:2-4:1 -1.002319 -187.41153 185.40689 1.0000000
4:2-4:1 103.790639 -82.61857 290.19985 0.6704422
1:3-4:1 32.841118 -153.56810 219.25033 0.9999874
2:3-4:1 -30.527998 -216.93721 155.88122 0.9999950
3:3-4:1 47.201573 -139.20764 233.61079 0.9991039
4:3-4:1 40.057667 -146.35155 226.46688 0.9998580
1:4-4:1 34.048239 -152.36097 220.45745 0.9999802
2:4-4:1 -28.524996 -214.93421 157.88422 0.9999980
3:4-4:1 -7.774403 -194.18362 178.63481 1.0000000
4:4-4:1 37.199385 -149.20983 223.60860 0.9999411
2:2-1:2 11.715547 -174.69367 198.12476 1.0000000
3:2-1:2 -7.600586 -194.00980 178.80863 1.0000000
4:2-1:2 97.192371 -89.21684 283.60158 0.7502134
1:3-1:2 26.242850 -160.16636 212.65206 0.9999993
2:3-1:2 -37.126266 -223.53548 149.28295 0.9999425
3:3-1:2 40.603306 -145.80591 227.01252 0.9998337
4:3-1:2 33.459399 -152.94981 219.86861 0.9999841
1:4-1:2 27.449971 -158.95924 213.85918 0.9999988
2:4-1:2 -35.123264 -221.53248 151.28595 0.9999708
3:4-1:2 -14.372671 -200.78188 172.03654 1.0000000
4:4-1:2 30.601117 -155.80810 217.01033 0.9999949
3:2-2:2 -19.316133 -205.72535 167.09308 1.0000000
4:2-2:2 85.476824 -100.93239 271.88604 0.8706678
1:3-2:2 14.527303 -171.88191 200.93652 1.0000000
2:3-2:2 -48.841812 -235.25103 137.56740 0.9987129
3:3-2:2 28.887759 -157.52145 215.29697 0.9999976
4:3-2:2 21.743852 -164.66536 208.15307 0.9999999
1:4-2:2 15.734424 -170.67479 202.14364 1.0000000
2:4-2:2 -46.838811 -233.24802 139.57040 0.9991752
3:4-2:2 -26.088218 -212.49743 160.32100 0.9999994
4:4-2:2 18.885570 -167.52364 205.29478 1.0000000
4:2-3:2 104.792957 -81.61626 291.20217 0.6579307
1:3-3:2 33.843436 -152.56578 220.25265 0.9999816
2:3-3:2 -29.525679 -215.93489 156.88353 0.9999968
3:3-3:2 48.203892 -138.20532 234.61311 0.9988793
4:3-3:2 41.059985 -145.34923 227.46920 0.9998107
1:4-3:2 35.050557 -151.35866 221.45977 0.9999715
2:4-3:2 -27.522678 -213.93189 158.88654 0.9999987
3:4-3:2 -6.772084 -193.18130 179.63713 1.0000000
4:4-3:2 38.201703 -148.20751 224.61092 0.9999190
1:3-4:2 -70.949521 -257.35873 115.45969 0.9622337
2:3-4:2 -134.318637 -320.72785 52.09058 0.3148850
3:3-4:2 -56.589065 -242.99828 129.82015 0.9944258
4:3-4:2 -63.732972 -250.14219 122.67624 0.9839058
1:4-4:2 -69.742400 -256.15161 116.66681 0.9668231
2:4-4:2 -132.315635 -318.72485 54.09358 0.3342350
3:4-4:2 -111.565042 -297.97425 74.84417 0.5725706
4:4-4:2 -66.591254 -253.00047 119.81796 0.9769053
2:3-1:3 -63.369116 -249.77833 123.04010 0.9846656
3:3-1:3 14.360456 -172.04876 200.76967 1.0000000
4:3-1:3 7.216549 -179.19266 193.62576 1.0000000
1:4-1:3 1.207121 -185.20209 187.61633 1.0000000
2:4-1:3 -61.366114 -247.77533 125.04310 0.9883694
3:4-1:3 -40.615521 -227.02473 145.79369 0.9998331
4:4-1:3 4.358267 -182.05095 190.76748 1.0000000
3:3-2:3 77.729571 -108.67964 264.13878 0.9281117
4:3-2:3 70.585665 -115.82355 256.99488 0.9636615
1:4-2:3 64.576237 -121.83298 250.98545 0.9820351
2:4-2:3 2.003002 -184.40621 188.41222 1.0000000
3:4-2:3 22.753595 -163.65562 209.16281 0.9999999
4:4-2:3 67.727382 -118.68183 254.13660 0.9735737
4:3-3:3 -7.143907 -193.55312 179.26531 1.0000000
1:4-3:3 -13.153335 -199.56255 173.25588 1.0000000
2:4-3:3 -75.726570 -262.13578 110.68264 0.9397280
3:4-3:3 -54.975976 -241.38519 131.43324 0.9957666
4:4-3:3 -10.002189 -196.41140 176.40702 1.0000000
1:4-4:3 -6.009428 -192.41864 180.39979 1.0000000
2:4-4:3 -68.582663 -254.99188 117.82655 0.9708435
3:4-4:3 -47.832070 -234.24128 138.57714 0.9989676
4:4-4:3 -2.858282 -189.26750 183.55093 1.0000000
2:4-1:4 -62.573235 -248.98245 123.83598 0.9862319
3:4-1:4 -41.822642 -228.23186 144.58657 0.9997660
4:4-1:4 3.151146 -183.25807 189.56036 1.0000000
3:4-2:4 20.750593 -165.65862 207.15981 1.0000000
4:4-2:4 65.724381 -120.68483 252.13359 0.9792303
4:4-3:4 44.973787 -141.43543 231.38300 0.9994703
Letras do Tukey:
$Fermentador
$Fermentador$Letters
4 1 3 2
"a" "a" "a" "a"
$Fermentador$LetterMatrix
a
4 TRUE
1 TRUE
3 TRUE
2 TRUE
$Periodo
$Periodo$Letters
1 2 3 4
"a" "a" "a" "a"
$Periodo$LetterMatrix
a
1 TRUE
2 TRUE
3 TRUE
4 TRUE
$`Fermentador:Periodo`
$`Fermentador:Periodo`$Letters
4:2 3:1 2:1 3:3 4:3 4:4 1:4 1:3 1:1 2:2 1:2 4:1 3:2 3:4 2:4 2:3
"a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a"
$`Fermentador:Periodo`$LetterMatrix
a
4:2 TRUE
3:1 TRUE
2:1 TRUE
3:3 TRUE
4:3 TRUE
4:4 TRUE
1:4 TRUE
1:3 TRUE
1:1 TRUE
2:2 TRUE
1:2 TRUE
4:1 TRUE
3:2 TRUE
3:4 TRUE
2:4 TRUE
2:3 TRUE
########################### Variável: Gas_total ##########################
ANOVA:
Df Sum Sq Mean Sq F value Pr(>F)
Fermentador 3 18705 6235 0.028 0.9937
Periodo 3 2143355 714452 3.180 0.0322 *
Fermentador:Periodo 9 620872 68986 0.307 0.9689
Residuals 48 10784391 224675
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
16 observations deleted due to missingness
Médias (emmeans):
Fermentador Periodo emmean SE df lower.CL upper.CL
1 1 2179 237 48 1703 2656
2 1 2190 237 48 1714 2667
3 1 1994 237 48 1517 2471
4 1 1994 237 48 1517 2470
1 2 1790 237 48 1313 2266
2 2 1527 237 48 1050 2003
3 2 1829 237 48 1353 2306
4 2 1850 237 48 1373 2327
1 3 1716 237 48 1239 2192
2 3 1672 237 48 1196 2149
3 3 1672 237 48 1196 2149
4 3 1652 237 48 1175 2128
1 4 1490 237 48 1014 1967
2 4 1770 237 48 1293 2247
3 4 1684 237 48 1207 2161
4 4 1519 237 48 1042 1996
Confidence level used: 0.95
Tukey HSD:
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = formula, data = database)
$Fermentador
diff lwr upr p adj
2-1 -3.8125 -449.8156 442.1906 0.9999957
3-1 1.1875 -444.8156 447.1906 0.9999999
4-1 -40.1250 -486.1281 405.8781 0.9951061
3-2 5.0000 -441.0031 451.0031 0.9999903
4-2 -36.3125 -482.3156 409.6906 0.9963578
4-3 -41.3125 -487.3156 404.6906 0.9946659
$Periodo
diff lwr upr p adj
2-1 -340.50 -786.5031 105.50307 0.1907755
3-1 -411.25 -857.2531 34.75307 0.0805484
4-1 -473.50 -919.5031 -27.49693 0.0335288
3-2 -70.75 -516.7531 375.25307 0.9744185
4-2 -133.00 -579.0031 313.00307 0.8569804
4-3 -62.25 -508.2531 383.75307 0.9822983
$`Fermentador:Periodo`
diff lwr upr p adj
2:1-1:1 11.25 -1199.6077 1222.1077 1.0000000
3:1-1:1 -185.25 -1396.1077 1025.6077 0.9999999
4:1-1:1 -185.50 -1396.3577 1025.3577 0.9999998
1:2-1:1 -389.75 -1600.6077 821.1077 0.9981372
2:2-1:1 -652.50 -1863.3577 558.3577 0.8408361
3:2-1:1 -350.00 -1560.8577 860.8577 0.9994408
4:2-1:1 -329.25 -1540.1077 881.6077 0.9997265
1:3-1:1 -463.50 -1674.3577 747.3577 0.9891273
2:3-1:1 -506.75 -1717.6077 704.1077 0.9755407
3:3-1:1 -506.75 -1717.6077 704.1077 0.9755407
4:3-1:1 -527.50 -1738.3577 683.3577 0.9656116
1:4-1:1 -688.75 -1899.6077 522.1077 0.7826348
2:4-1:1 -409.25 -1620.1077 801.6077 0.9968660
3:4-1:1 -495.25 -1706.1077 715.6077 0.9800090
4:4-1:1 -660.25 -1871.1077 550.6077 0.8291522
3:1-2:1 -196.50 -1407.3577 1014.3577 0.9999997
4:1-2:1 -196.75 -1407.6077 1014.1077 0.9999997
1:2-2:1 -401.00 -1611.8577 809.8577 0.9974721
2:2-2:1 -663.75 -1874.6077 547.1077 0.8237346
3:2-2:1 -361.25 -1572.1077 849.6077 0.9991972
4:2-2:1 -340.50 -1551.3577 870.3577 0.9995937
1:3-2:1 -474.75 -1685.6077 736.1077 0.9863847
2:3-2:1 -518.00 -1728.8577 692.8577 0.9704721
3:3-2:1 -518.00 -1728.8577 692.8577 0.9704721
4:3-2:1 -538.75 -1749.6077 672.1077 0.9591208
1:4-2:1 -700.00 -1910.8577 510.8577 0.7628724
2:4-2:1 -420.50 -1631.3577 790.3577 0.9958475
3:4-2:1 -506.50 -1717.3577 704.3577 0.9756453
4:4-2:1 -671.50 -1882.3577 539.3577 0.8114353
4:1-3:1 -0.25 -1211.1077 1210.6077 1.0000000
1:2-3:1 -204.50 -1415.3577 1006.3577 0.9999994
2:2-3:1 -467.25 -1678.1077 743.6077 0.9882671
3:2-3:1 -164.75 -1375.6077 1046.1077 1.0000000
4:2-3:1 -144.00 -1354.8577 1066.8577 1.0000000
1:3-3:1 -278.25 -1489.1077 932.6077 0.9999655
2:3-3:1 -321.50 -1532.3577 889.3577 0.9997942
3:3-3:1 -321.50 -1532.3577 889.3577 0.9997942
4:3-3:1 -342.25 -1553.1077 868.6077 0.9995686
1:4-3:1 -503.50 -1714.3577 707.3577 0.9768739
2:4-3:1 -224.00 -1434.8577 986.8577 0.9999980
3:4-3:1 -310.00 -1520.8577 900.8577 0.9998676
4:4-3:1 -475.00 -1685.8577 735.8577 0.9863181
1:2-4:1 -204.25 -1415.1077 1006.6077 0.9999994
2:2-4:1 -467.00 -1677.8577 743.8577 0.9883261
3:2-4:1 -164.50 -1375.3577 1046.3577 1.0000000
4:2-4:1 -143.75 -1354.6077 1067.1077 1.0000000
1:3-4:1 -278.00 -1488.8577 932.8577 0.9999659
2:3-4:1 -321.25 -1532.1077 889.6077 0.9997961
3:3-4:1 -321.25 -1532.1077 889.6077 0.9997961
4:3-4:1 -342.00 -1552.8577 868.8577 0.9995723
1:4-4:1 -503.25 -1714.1077 707.6077 0.9769741
2:4-4:1 -223.75 -1434.6077 987.1077 0.9999980
3:4-4:1 -309.75 -1520.6077 901.1077 0.9998689
4:4-4:1 -474.75 -1685.6077 736.1077 0.9863847
2:2-1:2 -262.75 -1473.6077 948.1077 0.9999834
3:2-1:2 39.75 -1171.1077 1250.6077 1.0000000
4:2-1:2 60.50 -1150.3577 1271.3577 1.0000000
1:3-1:2 -73.75 -1284.6077 1137.1077 1.0000000
2:3-1:2 -117.00 -1327.8577 1093.8577 1.0000000
3:3-1:2 -117.00 -1327.8577 1093.8577 1.0000000
4:3-1:2 -137.75 -1348.6077 1073.1077 1.0000000
1:4-1:2 -299.00 -1509.8577 911.8577 0.9999150
2:4-1:2 -19.50 -1230.3577 1191.3577 1.0000000
3:4-1:2 -105.50 -1316.3577 1105.3577 1.0000000
4:4-1:2 -270.50 -1481.3577 940.3577 0.9999759
3:2-2:2 302.50 -908.3577 1513.3577 0.9999019
4:2-2:2 323.25 -887.6077 1534.1077 0.9997804
1:3-2:2 189.00 -1021.8577 1399.8577 0.9999998
2:3-2:2 145.75 -1065.1077 1356.6077 1.0000000
3:3-2:2 145.75 -1065.1077 1356.6077 1.0000000
4:3-2:2 125.00 -1085.8577 1335.8577 1.0000000
1:4-2:2 -36.25 -1247.1077 1174.6077 1.0000000
2:4-2:2 243.25 -967.6077 1454.1077 0.9999939
3:4-2:2 157.25 -1053.6077 1368.1077 1.0000000
4:4-2:2 -7.75 -1218.6077 1203.1077 1.0000000
4:2-3:2 20.75 -1190.1077 1231.6077 1.0000000
1:3-3:2 -113.50 -1324.3577 1097.3577 1.0000000
2:3-3:2 -156.75 -1367.6077 1054.1077 1.0000000
3:3-3:2 -156.75 -1367.6077 1054.1077 1.0000000
4:3-3:2 -177.50 -1388.3577 1033.3577 0.9999999
1:4-3:2 -338.75 -1549.6077 872.1077 0.9996175
2:4-3:2 -59.25 -1270.1077 1151.6077 1.0000000
3:4-3:2 -145.25 -1356.1077 1065.6077 1.0000000
4:4-3:2 -310.25 -1521.1077 900.6077 0.9998662
1:3-4:2 -134.25 -1345.1077 1076.6077 1.0000000
2:3-4:2 -177.50 -1388.3577 1033.3577 0.9999999
3:3-4:2 -177.50 -1388.3577 1033.3577 0.9999999
4:3-4:2 -198.25 -1409.1077 1012.6077 0.9999996
1:4-4:2 -359.50 -1570.3577 851.3577 0.9992402
2:4-4:2 -80.00 -1290.8577 1130.8577 1.0000000
3:4-4:2 -166.00 -1376.8577 1044.8577 1.0000000
4:4-4:2 -331.00 -1541.8577 879.8577 0.9997088
2:3-1:3 -43.25 -1254.1077 1167.6077 1.0000000
3:3-1:3 -43.25 -1254.1077 1167.6077 1.0000000
4:3-1:3 -64.00 -1274.8577 1146.8577 1.0000000
1:4-1:3 -225.25 -1436.1077 985.6077 0.9999978
2:4-1:3 54.25 -1156.6077 1265.1077 1.0000000
3:4-1:3 -31.75 -1242.6077 1179.1077 1.0000000
4:4-1:3 -196.75 -1407.6077 1014.1077 0.9999997
3:3-2:3 0.00 -1210.8577 1210.8577 1.0000000
4:3-2:3 -20.75 -1231.6077 1190.1077 1.0000000
1:4-2:3 -182.00 -1392.8577 1028.8577 0.9999999
2:4-2:3 97.50 -1113.3577 1308.3577 1.0000000
3:4-2:3 11.50 -1199.3577 1222.3577 1.0000000
4:4-2:3 -153.50 -1364.3577 1057.3577 1.0000000
4:3-3:3 -20.75 -1231.6077 1190.1077 1.0000000
1:4-3:3 -182.00 -1392.8577 1028.8577 0.9999999
2:4-3:3 97.50 -1113.3577 1308.3577 1.0000000
3:4-3:3 11.50 -1199.3577 1222.3577 1.0000000
4:4-3:3 -153.50 -1364.3577 1057.3577 1.0000000
1:4-4:3 -161.25 -1372.1077 1049.6077 1.0000000
2:4-4:3 118.25 -1092.6077 1329.1077 1.0000000
3:4-4:3 32.25 -1178.6077 1243.1077 1.0000000
4:4-4:3 -132.75 -1343.6077 1078.1077 1.0000000
2:4-1:4 279.50 -931.3577 1490.3577 0.9999635
3:4-1:4 193.50 -1017.3577 1404.3577 0.9999997
4:4-1:4 28.50 -1182.3577 1239.3577 1.0000000
3:4-2:4 -86.00 -1296.8577 1124.8577 1.0000000
4:4-2:4 -251.00 -1461.8577 959.8577 0.9999909
4:4-3:4 -165.00 -1375.8577 1045.8577 1.0000000
Letras do Tukey:
$Fermentador
$Fermentador$Letters
3 1 2 4
"a" "a" "a" "a"
$Fermentador$LetterMatrix
a
3 TRUE
1 TRUE
2 TRUE
4 TRUE
$Periodo
1 2 3 4
"a" "ab" "ab" "b"
$`Fermentador:Periodo`
$`Fermentador:Periodo`$Letters
2:1 1:1 3:1 4:1 4:2 3:2 1:2 2:4 1:3 3:4 2:3 3:3 4:3 2:2 4:4 1:4
"a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a"
$`Fermentador:Periodo`$LetterMatrix
a
2:1 TRUE
1:1 TRUE
3:1 TRUE
4:1 TRUE
4:2 TRUE
3:2 TRUE
1:2 TRUE
2:4 TRUE
1:3 TRUE
3:4 TRUE
2:3 TRUE
3:3 TRUE
4:3 TRUE
2:2 TRUE
4:4 TRUE
1:4 TRUE
########################### Variável: CH4_effic ##########################
ANOVA:
Df Sum Sq Mean Sq F value Pr(>F)
Fermentador 3 28.96 9.653 1.883 0.176
Periodo 3 23.43 7.810 1.524 0.249
Fermentador:Periodo 9 35.69 3.966 0.774 0.643
Residuals 15 76.89 5.126
49 observations deleted due to missingness
Médias (emmeans):
Fermentador Periodo emmean SE df lower.CL upper.CL
1 1 9.49 1.60 15 6.081 12.91
2 1 6.69 1.60 15 3.281 10.11
3 1 10.09 2.26 15 5.269 14.92
4 1 5.91 1.60 15 2.502 9.33
1 2 7.49 1.60 15 4.078 10.90
2 2 3.27 1.60 15 -0.143 6.68
3 2 6.90 1.60 15 3.485 10.31
4 2 6.93 1.60 15 3.522 10.35
1 3 7.74 1.60 15 4.326 11.15
2 3 8.22 1.60 15 4.808 11.63
3 3 9.16 1.60 15 5.747 12.57
4 3 8.71 1.60 15 5.301 12.13
1 4 9.81 1.60 15 6.399 13.22
2 4 6.31 1.60 15 2.900 9.72
3 4 6.43 1.60 15 3.017 9.84
4 4 5.90 1.60 15 2.483 9.31
Confidence level used: 0.95
Tukey HSD:
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = formula, data = database)
$Fermentador
diff lwr upr p adj
2-1 -2.5094894 -5.772101 0.7531227 0.1634591
3-1 -0.7666814 -4.143806 2.6104429 0.9123981
4-1 -1.7690723 -5.031684 1.4935398 0.4275458
3-2 1.7428080 -1.634316 5.1199323 0.4686923
4-2 0.7404171 -2.522195 4.0030292 0.9124816
4-3 -1.0023908 -4.379515 2.3747335 0.8272202
$Periodo
diff lwr upr p adj
2-1 -1.6791919 -5.0563162 1.697932 0.4993031
3-1 0.6306909 -2.7464334 4.007815 0.9482749
4-1 -0.7151642 -4.0922886 2.661960 0.9272055
3-2 2.3098828 -0.9527293 5.572495 0.2172229
4-2 0.9640276 -2.2985845 4.226640 0.8290978
4-3 -1.3458552 -4.6084673 1.916757 0.6427131
$`Fermentador:Periodo`
diff lwr upr p adj
2:1-1:1 -2.80060201 -11.956668 6.355464 0.9931049
3:1-1:1 0.60127020 -10.612575 11.815115 1.0000000
4:1-1:1 -3.57956559 -12.735632 5.576500 0.9492971
1:2-1:1 -2.00332027 -11.159386 7.152746 0.9997873
2:2-1:1 -6.22393264 -15.379999 2.932133 0.3823035
3:2-1:1 -2.59582276 -11.751889 6.560243 0.9966393
4:2-1:1 -2.55908356 -11.715150 6.596982 0.9970779
1:3-1:1 -1.75522613 -10.911292 7.400840 0.9999554
2:3-1:1 -1.27280938 -10.428875 7.883257 0.9999993
3:3-1:1 -0.33434848 -9.490415 8.821718 1.0000000
4:3-1:1 -0.78024405 -9.936310 8.375822 1.0000000
1:4-1:1 0.31784012 -8.838226 9.473906 1.0000000
2:4-1:1 -3.18131985 -12.337386 5.974746 0.9792561
3:4-1:1 -3.06446690 -12.220533 6.091599 0.9847733
4:4-1:1 -3.59810215 -12.754168 5.557964 0.9474245
3:1-2:1 3.40187220 -7.811973 14.615717 0.9936084
4:1-2:1 -0.77896358 -9.935030 8.377102 1.0000000
1:2-2:1 0.79728174 -8.358784 9.953348 1.0000000
2:2-2:1 -3.42333063 -12.579397 5.732735 0.9633103
3:2-2:1 0.20477925 -8.951287 9.360845 1.0000000
4:2-2:1 0.24151845 -8.914548 9.397585 1.0000000
1:3-2:1 1.04537588 -8.110690 10.201442 1.0000000
2:3-2:1 1.52779262 -7.628273 10.683859 0.9999921
3:3-2:1 2.46625353 -6.689813 11.622320 0.9979804
4:3-2:1 2.02035796 -7.135708 11.176424 0.9997656
1:4-2:1 3.11844213 -6.037624 12.274508 0.9823839
2:4-2:1 -0.38071784 -9.536784 8.775348 1.0000000
3:4-2:1 -0.26386489 -9.419931 8.892201 1.0000000
4:4-2:1 -0.79750014 -9.953566 8.358566 1.0000000
4:1-3:1 -4.18083579 -15.394681 7.033009 0.9640785
1:2-3:1 -2.60459046 -13.818435 8.609254 0.9995823
2:2-3:1 -6.82520283 -18.039048 4.388642 0.5361934
3:2-3:1 -3.19709295 -14.410938 8.016752 0.9964508
4:2-3:1 -3.16035376 -14.374199 8.053491 0.9968293
1:3-3:1 -2.35649633 -13.570341 8.857349 0.9998667
2:3-3:1 -1.87407958 -13.087925 9.339765 0.9999919
3:3-3:1 -0.93561867 -12.149464 10.278226 1.0000000
4:3-3:1 -1.38151425 -12.595359 9.832331 0.9999999
1:4-3:1 -0.28343008 -11.497275 10.930415 1.0000000
2:4-3:1 -3.78259004 -14.996435 7.431255 0.9837432
3:4-3:1 -3.66573709 -14.879582 7.548108 0.9875452
4:4-3:1 -4.19937235 -15.413217 7.014473 0.9628738
1:2-4:1 1.57624533 -7.579821 10.732311 0.9999883
2:2-4:1 -2.64436705 -11.800433 6.511699 0.9959787
3:2-4:1 0.98374284 -8.172323 10.139809 1.0000000
4:2-4:1 1.02048203 -8.135584 10.176548 1.0000000
1:3-4:1 1.82433946 -7.331727 10.980406 0.9999290
2:3-4:1 2.30675621 -6.849310 11.462822 0.9989901
3:3-4:1 3.24521712 -5.910849 12.401283 0.9756723
4:3-4:1 2.79932154 -6.356745 11.955388 0.9931338
1:4-4:1 3.89740571 -5.258660 13.053472 0.9107074
2:4-4:1 0.39824574 -8.757820 9.554312 1.0000000
3:4-4:1 0.51509869 -8.640967 9.671165 1.0000000
4:4-4:1 -0.01853656 -9.174603 9.137529 1.0000000
2:2-1:2 -4.22061237 -13.376678 4.935454 0.8572997
3:2-1:2 -0.59250249 -9.748569 8.563564 1.0000000
4:2-1:2 -0.55576330 -9.711829 8.600303 1.0000000
1:3-1:2 0.24809414 -8.907972 9.404160 1.0000000
2:3-1:2 0.73051088 -8.425555 9.886577 1.0000000
3:3-1:2 1.66897179 -7.487094 10.825038 0.9999760
4:3-1:2 1.22307621 -7.932990 10.379142 0.9999996
1:4-1:2 2.32116038 -6.834906 11.477226 0.9989214
2:4-1:2 -1.17799958 -10.334066 7.978066 0.9999997
3:4-1:2 -1.06114663 -10.217213 8.094919 0.9999999
4:4-1:2 -1.59478189 -10.750848 7.561284 0.9999864
3:2-2:2 3.62810988 -5.527956 12.784176 0.9442959
4:2-2:2 3.66484908 -5.491217 12.820915 0.9403005
1:3-2:2 4.46870651 -4.687360 13.624773 0.8074573
2:3-2:2 4.95112325 -4.204943 14.107189 0.6943692
3:3-2:2 5.88958416 -3.266482 15.045650 0.4583887
4:3-2:2 5.44368858 -3.712377 14.599755 0.5689186
1:4-2:2 6.54177275 -2.614293 15.697839 0.3173817
2:4-2:2 3.04261279 -6.113453 12.198679 0.9856672
3:4-2:2 3.15946574 -5.996600 12.315532 0.9803868
4:4-2:2 2.62583048 -6.530236 11.781897 0.9962424
4:2-3:2 0.03673919 -9.119327 9.192805 1.0000000
1:3-3:2 0.84059663 -8.315469 9.996663 1.0000000
2:3-3:2 1.32301337 -7.833053 10.479079 0.9999988
3:3-3:2 2.26147428 -6.894592 11.417540 0.9991825
4:3-3:2 1.81557870 -7.340487 10.971645 0.9999330
1:4-3:2 2.91366287 -6.242403 12.069729 0.9901519
2:4-3:2 -0.58549709 -9.741563 8.570569 1.0000000
3:4-3:2 -0.46864414 -9.624710 8.687422 1.0000000
4:4-3:2 -1.00227940 -10.158345 8.153787 1.0000000
1:3-4:2 0.80385743 -8.352209 9.959923 1.0000000
2:3-4:2 1.28627418 -7.869792 10.442340 0.9999992
3:3-4:2 2.22473509 -6.931331 11.380801 0.9993148
4:3-4:2 1.77883951 -7.377227 10.934906 0.9999476
1:4-4:2 2.87692368 -6.279142 12.032990 0.9912034
2:4-4:2 -0.62223629 -9.778302 8.533830 1.0000000
3:4-4:2 -0.50538334 -9.661449 8.650683 1.0000000
4:4-4:2 -1.03901859 -10.195085 8.117047 1.0000000
2:3-1:3 0.48241675 -8.673649 9.638483 1.0000000
3:3-1:3 1.42087765 -7.735188 10.576944 0.9999969
4:3-1:3 0.97498208 -8.181084 10.131048 1.0000000
1:4-1:3 2.07306625 -7.083000 11.229132 0.9996861
2:4-1:3 -1.42609372 -10.582160 7.729972 0.9999968
3:4-1:3 -1.30924077 -10.465307 7.846825 0.9999989
4:4-1:3 -1.84287602 -10.998942 7.313190 0.9999199
3:3-2:3 0.93846091 -8.217605 10.094527 1.0000000
4:3-2:3 0.49256533 -8.663501 9.648631 1.0000000
1:4-2:3 1.59064950 -7.565417 10.746716 0.9999868
2:4-2:3 -1.90851046 -11.064577 7.247556 0.9998788
3:4-2:3 -1.79165751 -10.947724 7.364409 0.9999429
4:4-2:3 -2.32529277 -11.481359 6.830773 0.9989010
4:3-3:3 -0.44589558 -9.601962 8.710170 1.0000000
1:4-3:3 0.65218859 -8.503877 9.808255 1.0000000
2:4-3:3 -2.84697137 -12.003037 6.309095 0.9919935
3:4-3:3 -2.73011842 -11.886184 6.425948 0.9945558
4:4-3:3 -3.26375368 -12.419820 5.892312 0.9745524
1:4-4:3 1.09808417 -8.057982 10.254150 0.9999999
2:4-4:3 -2.40107580 -11.557142 6.754990 0.9984643
3:4-4:3 -2.28422285 -11.440289 6.871843 0.9990902
4:4-4:3 -2.81785810 -11.973924 6.338208 0.9927067
2:4-1:4 -3.49915997 -12.655226 5.656906 0.9568980
3:4-1:4 -3.38230701 -12.538373 5.773759 0.9664842
4:4-1:4 -3.91594227 -13.072008 5.240124 0.9080262
3:4-2:4 0.11685295 -9.039213 9.272919 1.0000000
4:4-2:4 -0.41678230 -9.572848 8.739284 1.0000000
4:4-3:4 -0.53363526 -9.689701 8.622431 1.0000000
Letras do Tukey:
$Fermentador
$Fermentador$Letters
1 3 4 2
"a" "a" "a" "a"
$Fermentador$LetterMatrix
a
1 TRUE
3 TRUE
4 TRUE
2 TRUE
$Periodo
$Periodo$Letters
3 1 4 2
"a" "a" "a" "a"
$Periodo$LetterMatrix
a
3 TRUE
1 TRUE
4 TRUE
2 TRUE
$`Fermentador:Periodo`
$`Fermentador:Periodo`$Letters
3:1 1:4 1:1 3:3 4:3 2:3 1:3 1:2 4:2 3:2 2:1 3:4 2:4 4:1 4:4 2:2
"a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a"
$`Fermentador:Periodo`$LetterMatrix
a
3:1 TRUE
1:4 TRUE
1:1 TRUE
3:3 TRUE
4:3 TRUE
2:3 TRUE
1:3 TRUE
1:2 TRUE
4:2 TRUE
3:2 TRUE
2:1 TRUE
3:4 TRUE
2:4 TRUE
4:1 TRUE
4:4 TRUE
2:2 TRUE
########################### Variável: N_NH3 ##########################
ANOVA:
Df Sum Sq Mean Sq F value Pr(>F)
Fermentador 3 63.4 21.13 0.251 0.860
Periodo 3 75.5 25.17 0.299 0.826
Fermentador:Periodo 9 151.2 16.80 0.199 0.992
Residuals 32 2694.2 84.19
32 observations deleted due to missingness
Médias (emmeans):
Fermentador Periodo emmean SE df lower.CL upper.CL
1 1 23.8 5.3 32 13.0 34.6
2 1 31.5 5.3 32 20.7 42.3
3 1 27.0 5.3 32 16.3 37.8
4 1 31.9 5.3 32 21.1 42.7
1 2 29.2 5.3 32 18.4 40.0
2 2 27.1 5.3 32 16.3 37.9
3 2 28.9 5.3 32 18.1 39.7
4 2 29.8 5.3 32 19.0 40.6
1 3 29.9 5.3 32 19.2 40.7
2 3 34.0 5.3 32 23.3 44.8
3 3 31.7 5.3 32 20.9 42.5
4 3 30.0 5.3 32 19.2 40.8
1 4 27.9 5.3 32 17.1 38.6
2 4 26.9 5.3 32 16.1 37.7
3 4 27.4 5.3 32 16.6 38.2
4 4 31.3 5.3 32 20.5 42.0
Confidence level used: 0.95
Tukey HSD:
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = formula, data = database)
$Fermentador
diff lwr upr p adj
2-1 2.1852083 -7.963889 12.334305 0.9363728
3-1 1.0695833 -9.079514 11.218680 0.9917247
4-1 3.0493750 -7.099722 13.198472 0.8473738
3-2 -1.1156250 -11.264722 9.033472 0.9906366
4-2 0.8641667 -9.284930 11.013264 0.9955849
4-3 1.9797917 -8.169305 12.128889 0.9515272
$Periodo
diff lwr upr p adj
2-1 0.191250 -9.957847 10.340347 0.9999511
3-1 2.861667 -7.287430 13.010764 0.8699973
4-1 -0.233750 -10.382847 9.915347 0.9999108
3-2 2.670417 -7.478680 12.819514 0.8912484
4-2 -0.425000 -10.574097 9.724097 0.9994661
4-3 -3.095417 -13.244514 7.053680 0.8415716
$`Fermentador:Periodo`
diff lwr upr p adj
2:1-1:1 7.67833333 -20.10217 35.45884 0.9994322
3:1-1:1 3.21583333 -24.56467 30.99634 1.0000000
4:1-1:1 8.07500000 -19.70550 35.85550 0.9990015
1:2-1:1 5.34083333 -22.43967 33.12134 0.9999935
2:2-1:1 3.30083333 -24.47967 31.08134 1.0000000
3:2-1:1 5.08583333 -22.69467 32.86634 0.9999966
4:2-1:1 6.00666667 -21.77384 33.78717 0.9999704
1:3-1:1 6.12000000 -21.66050 33.90050 0.9999626
2:3-1:1 10.21416667 -17.56634 37.99467 0.9890225
3:3-1:1 7.90500000 -19.87550 35.68550 0.9992118
4:3-1:1 6.17666667 -21.60384 33.95717 0.9999580
1:4-1:1 4.02333333 -23.75717 31.80384 0.9999999
2:4-1:1 3.03166667 -24.74884 30.81217 1.0000000
3:4-1:1 3.55583333 -24.22467 31.33634 1.0000000
4:4-1:1 7.42333333 -20.35717 35.20384 0.9996145
3:1-2:1 -4.46250000 -32.24300 23.31800 0.9999994
4:1-2:1 0.39666667 -27.38384 28.17717 1.0000000
1:2-2:1 -2.33750000 -30.11800 25.44300 1.0000000
2:2-2:1 -4.37750000 -32.15800 23.40300 0.9999995
3:2-2:1 -2.59250000 -30.37300 25.18800 1.0000000
4:2-2:1 -1.67166667 -29.45217 26.10884 1.0000000
1:3-2:1 -1.55833333 -29.33884 26.22217 1.0000000
2:3-2:1 2.53583333 -25.24467 30.31634 1.0000000
3:3-2:1 0.22666667 -27.55384 28.00717 1.0000000
4:3-2:1 -1.50166667 -29.28217 26.27884 1.0000000
1:4-2:1 -3.65500000 -31.43550 24.12550 1.0000000
2:4-2:1 -4.64666667 -32.42717 23.13384 0.9999990
3:4-2:1 -4.12250000 -31.90300 23.65800 0.9999998
4:4-2:1 -0.25500000 -28.03550 27.52550 1.0000000
4:1-3:1 4.85916667 -22.92134 32.63967 0.9999981
1:2-3:1 2.12500000 -25.65550 29.90550 1.0000000
2:2-3:1 0.08500000 -27.69550 27.86550 1.0000000
3:2-3:1 1.87000000 -25.91050 29.65050 1.0000000
4:2-3:1 2.79083333 -24.98967 30.57134 1.0000000
1:3-3:1 2.90416667 -24.87634 30.68467 1.0000000
2:3-3:1 6.99833333 -20.78217 34.77884 0.9998070
3:3-3:1 4.68916667 -23.09134 32.46967 0.9999988
4:3-3:1 2.96083333 -24.81967 30.74134 1.0000000
1:4-3:1 0.80750000 -26.97300 28.58800 1.0000000
2:4-3:1 -0.18416667 -27.96467 27.59634 1.0000000
3:4-3:1 0.34000000 -27.44050 28.12050 1.0000000
4:4-3:1 4.20750000 -23.57300 31.98800 0.9999997
1:2-4:1 -2.73416667 -30.51467 25.04634 1.0000000
2:2-4:1 -4.77416667 -32.55467 23.00634 0.9999985
3:2-4:1 -2.98916667 -30.76967 24.79134 1.0000000
4:2-4:1 -2.06833333 -29.84884 25.71217 1.0000000
1:3-4:1 -1.95500000 -29.73550 25.82550 1.0000000
2:3-4:1 2.13916667 -25.64134 29.91967 1.0000000
3:3-4:1 -0.17000000 -27.95050 27.61050 1.0000000
4:3-4:1 -1.89833333 -29.67884 25.88217 1.0000000
1:4-4:1 -4.05166667 -31.83217 23.72884 0.9999998
2:4-4:1 -5.04333333 -32.82384 22.73717 0.9999969
3:4-4:1 -4.51916667 -32.29967 23.26134 0.9999993
4:4-4:1 -0.65166667 -28.43217 27.12884 1.0000000
2:2-1:2 -2.04000000 -29.82050 25.74050 1.0000000
3:2-1:2 -0.25500000 -28.03550 27.52550 1.0000000
4:2-1:2 0.66583333 -27.11467 28.44634 1.0000000
1:3-1:2 0.77916667 -27.00134 28.55967 1.0000000
2:3-1:2 4.87333333 -22.90717 32.65384 0.9999981
3:3-1:2 2.56416667 -25.21634 30.34467 1.0000000
4:3-1:2 0.83583333 -26.94467 28.61634 1.0000000
1:4-1:2 -1.31750000 -29.09800 26.46300 1.0000000
2:4-1:2 -2.30916667 -30.08967 25.47134 1.0000000
3:4-1:2 -1.78500000 -29.56550 25.99550 1.0000000
4:4-1:2 2.08250000 -25.69800 29.86300 1.0000000
3:2-2:2 1.78500000 -25.99550 29.56550 1.0000000
4:2-2:2 2.70583333 -25.07467 30.48634 1.0000000
1:3-2:2 2.81916667 -24.96134 30.59967 1.0000000
2:3-2:2 6.91333333 -20.86717 34.69384 0.9998331
3:3-2:2 4.60416667 -23.17634 32.38467 0.9999991
4:3-2:2 2.87583333 -24.90467 30.65634 1.0000000
1:4-2:2 0.72250000 -27.05800 28.50300 1.0000000
2:4-2:2 -0.26916667 -28.04967 27.51134 1.0000000
3:4-2:2 0.25500000 -27.52550 28.03550 1.0000000
4:4-2:2 4.12250000 -23.65800 31.90300 0.9999998
4:2-3:2 0.92083333 -26.85967 28.70134 1.0000000
1:3-3:2 1.03416667 -26.74634 28.81467 1.0000000
2:3-3:2 5.12833333 -22.65217 32.90884 0.9999962
3:3-3:2 2.81916667 -24.96134 30.59967 1.0000000
4:3-3:2 1.09083333 -26.68967 28.87134 1.0000000
1:4-3:2 -1.06250000 -28.84300 26.71800 1.0000000
2:4-3:2 -2.05416667 -29.83467 25.72634 1.0000000
3:4-3:2 -1.53000000 -29.31050 26.25050 1.0000000
4:4-3:2 2.33750000 -25.44300 30.11800 1.0000000
1:3-4:2 0.11333333 -27.66717 27.89384 1.0000000
2:3-4:2 4.20750000 -23.57300 31.98800 0.9999997
3:3-4:2 1.89833333 -25.88217 29.67884 1.0000000
4:3-4:2 0.17000000 -27.61050 27.95050 1.0000000
1:4-4:2 -1.98333333 -29.76384 25.79717 1.0000000
2:4-4:2 -2.97500000 -30.75550 24.80550 1.0000000
3:4-4:2 -2.45083333 -30.23134 25.32967 1.0000000
4:4-4:2 1.41666667 -26.36384 29.19717 1.0000000
2:3-1:3 4.09416667 -23.68634 31.87467 0.9999998
3:3-1:3 1.78500000 -25.99550 29.56550 1.0000000
4:3-1:3 0.05666667 -27.72384 27.83717 1.0000000
1:4-1:3 -2.09666667 -29.87717 25.68384 1.0000000
2:4-1:3 -3.08833333 -30.86884 24.69217 1.0000000
3:4-1:3 -2.56416667 -30.34467 25.21634 1.0000000
4:4-1:3 1.30333333 -26.47717 29.08384 1.0000000
3:3-2:3 -2.30916667 -30.08967 25.47134 1.0000000
4:3-2:3 -4.03750000 -31.81800 23.74300 0.9999999
1:4-2:3 -6.19083333 -33.97134 21.58967 0.9999568
2:4-2:3 -7.18250000 -34.96300 20.59800 0.9997376
3:4-2:3 -6.65833333 -34.43884 21.12217 0.9998939
4:4-2:3 -2.79083333 -30.57134 24.98967 1.0000000
4:3-3:3 -1.72833333 -29.50884 26.05217 1.0000000
1:4-3:3 -3.88166667 -31.66217 23.89884 0.9999999
2:4-3:3 -4.87333333 -32.65384 22.90717 0.9999981
3:4-3:3 -4.34916667 -32.12967 23.43134 0.9999996
4:4-3:3 -0.48166667 -28.26217 27.29884 1.0000000
1:4-4:3 -2.15333333 -29.93384 25.62717 1.0000000
2:4-4:3 -3.14500000 -30.92550 24.63550 1.0000000
3:4-4:3 -2.62083333 -30.40134 25.15967 1.0000000
4:4-4:3 1.24666667 -26.53384 29.02717 1.0000000
2:4-1:4 -0.99166667 -28.77217 26.78884 1.0000000
3:4-1:4 -0.46750000 -28.24800 27.31300 1.0000000
4:4-1:4 3.40000000 -24.38050 31.18050 1.0000000
3:4-2:4 0.52416667 -27.25634 28.30467 1.0000000
4:4-2:4 4.39166667 -23.38884 32.17217 0.9999995
4:4-3:4 3.86750000 -23.91300 31.64800 0.9999999
Letras do Tukey:
$Fermentador
$Fermentador$Letters
4 2 3 1
"a" "a" "a" "a"
$Fermentador$LetterMatrix
a
4 TRUE
2 TRUE
3 TRUE
1 TRUE
$Periodo
$Periodo$Letters
3 2 1 4
"a" "a" "a" "a"
$Periodo$LetterMatrix
a
3 TRUE
2 TRUE
1 TRUE
4 TRUE
$`Fermentador:Periodo`
$`Fermentador:Periodo`$Letters
2:3 4:1 3:3 2:1 4:4 4:3 1:3 4:2 1:2 3:2 1:4 3:4 2:2 3:1 2:4 1:1
"a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a"
$`Fermentador:Periodo`$LetterMatrix
a
2:3 TRUE
4:1 TRUE
3:3 TRUE
2:1 TRUE
4:4 TRUE
4:3 TRUE
1:3 TRUE
4:2 TRUE
1:2 TRUE
3:2 TRUE
1:4 TRUE
3:4 TRUE
2:2 TRUE
3:1 TRUE
2:4 TRUE
1:1 TRUE
########################### Variável: AGCC ##########################
ANOVA:
Df Sum Sq Mean Sq F value Pr(>F)
Fermentador 3 476 158.5 0.343 0.79464
Periodo 3 6667 2222.4 4.804 0.00713 **
Fermentador:Periodo 9 1256 139.6 0.302 0.96878
Residuals 32 14805 462.7
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
32 observations deleted due to missingness
Médias (emmeans):
Fermentador Periodo emmean SE df lower.CL upper.CL
1 1 94.3 12.4 32 69.0 120
2 1 102.0 12.4 32 76.7 127
3 1 100.5 12.4 32 75.2 126
4 1 97.6 12.4 32 72.3 123
1 2 128.3 12.4 32 103.0 154
2 2 122.8 12.4 32 97.5 148
3 2 130.6 12.4 32 105.3 156
4 2 129.4 12.4 32 104.1 155
1 3 137.6 12.4 32 112.3 163
2 3 122.2 12.4 32 96.9 148
3 3 132.3 12.4 32 107.0 158
4 3 110.5 12.4 32 85.2 136
1 4 119.0 12.4 32 93.7 144
2 4 109.4 12.4 32 84.1 135
3 4 107.9 12.4 32 82.6 133
4 4 109.4 12.4 32 84.1 135
Confidence level used: 0.95
Tukey HSD:
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = formula, data = database)
$Fermentador
diff lwr upr p adj
2-1 -5.670930 -29.46239 18.12053 0.9162349
3-1 -1.951228 -25.74269 21.84024 0.9960484
4-1 -8.082238 -31.87370 15.70923 0.7941660
3-2 3.719702 -20.07176 27.51117 0.9740278
4-2 -2.411308 -26.20277 21.38016 0.9926210
4-3 -6.131010 -29.92247 17.66045 0.8970096
$Periodo
diff lwr upr p adj
2-1 29.180679 5.389214 52.972143 0.0114151
3-1 27.054433 3.262969 50.845897 0.0208794
4-1 12.826569 -10.964895 36.618033 0.4723049
3-2 -2.126245 -25.917709 21.665219 0.9949061
4-2 -16.354110 -40.145574 7.437354 0.2641188
4-3 -14.227864 -38.019328 9.563600 0.3819759
$`Fermentador:Periodo`
diff lwr upr p adj
2:1-1:1 7.70022917 -57.42269 72.82315 1.0000000
3:1-1:1 6.20098833 -58.92193 71.32391 1.0000000
4:1-1:1 3.25788083 -61.86504 68.38080 1.0000000
1:2-1:1 33.99457583 -31.12834 99.11750 0.8407411
2:2-1:1 28.48469500 -36.63823 93.60762 0.9519952
3:2-1:1 36.31431667 -28.80860 101.43724 0.7708685
4:2-1:1 35.08822500 -30.03470 100.21115 0.8092788
1:3-1:1 43.26072583 -21.86219 108.38365 0.5189838
2:3-1:1 27.91789250 -37.20503 93.04081 0.9589418
3:3-1:1 38.03727167 -27.08565 103.16019 0.7122755
4:3-1:1 16.16094083 -48.96198 81.28386 0.9998386
1:4-1:1 24.66987250 -40.45305 89.79279 0.9855735
2:4-1:1 15.13863833 -49.98428 80.26156 0.9999270
3:4-1:1 13.56768667 -51.55523 78.69061 0.9999815
4:4-1:1 15.08917667 -50.03374 80.21210 0.9999299
3:1-2:1 -1.49924083 -66.62216 63.62368 1.0000000
4:1-2:1 -4.44234833 -69.56527 60.68057 1.0000000
1:2-2:1 26.29434667 -38.82857 91.41727 0.9748207
2:2-2:1 20.78446583 -44.33845 85.90739 0.9972774
3:2-2:1 28.61408750 -36.50883 93.73701 0.9503002
4:2-2:1 27.38799583 -37.73492 92.51092 0.9647554
1:3-2:1 35.56049667 -29.56242 100.68342 0.7948523
2:3-2:1 20.21766333 -44.90526 85.34058 0.9979634
3:3-2:1 30.33704250 -34.78588 95.45996 0.9236501
4:3-2:1 8.46071167 -56.66221 73.58363 1.0000000
1:4-2:1 16.96964333 -48.15328 82.09256 0.9997123
2:4-2:1 7.43840917 -57.68451 72.56133 1.0000000
3:4-2:1 5.86745750 -59.25546 70.99038 1.0000000
4:4-2:1 7.38894750 -57.73397 72.51187 1.0000000
4:1-3:1 -2.94310750 -68.06603 62.17981 1.0000000
1:2-3:1 27.79358750 -37.32933 92.91651 0.9603634
2:2-3:1 22.28370667 -42.83921 87.40663 0.9944839
3:2-3:1 30.11332833 -35.00959 95.23625 0.9275511
4:2-3:1 28.88723667 -36.23568 94.01016 0.9465854
1:3-3:1 37.05973750 -28.06318 102.18266 0.7461041
2:3-3:1 21.71690417 -43.40602 86.83982 0.9957335
3:3-3:1 31.83628333 -33.28664 96.95920 0.8940085
4:3-3:1 9.95995250 -55.16297 75.08287 0.9999997
1:4-3:1 18.46888417 -46.65404 83.59180 0.9992408
2:4-3:1 8.93765000 -56.18527 74.06057 0.9999999
3:4-3:1 7.36669833 -57.75622 72.48962 1.0000000
4:4-3:1 8.88818833 -56.23473 74.01111 0.9999999
1:2-4:1 30.73669500 -34.38623 95.85962 0.9163456
2:2-4:1 25.22681417 -39.89611 90.34973 0.9823945
3:2-4:1 33.05643583 -32.06648 98.17936 0.8653937
4:2-4:1 31.83034417 -33.29258 96.95326 0.8941380
1:3-4:1 40.00284500 -25.12008 105.12577 0.6408670
2:3-4:1 24.66001167 -40.46291 89.78293 0.9856254
3:3-4:1 34.77939083 -30.34353 99.90231 0.8184463
4:3-4:1 12.90306000 -52.21986 78.02598 0.9999903
1:4-4:1 21.41199167 -43.71093 86.53491 0.9963025
2:4-4:1 11.88075750 -53.24216 77.00368 0.9999967
3:4-4:1 10.30980583 -54.81311 75.43273 0.9999995
4:4-4:1 11.83129583 -53.29162 76.95422 0.9999969
2:2-1:2 -5.50988083 -70.63280 59.61304 1.0000000
3:2-1:2 2.31974083 -62.80318 67.44266 1.0000000
4:2-1:2 1.09364917 -64.02927 66.21657 1.0000000
1:3-1:2 9.26615000 -55.85677 74.38907 0.9999999
2:3-1:2 -6.07668333 -71.19960 59.04624 1.0000000
3:3-1:2 4.04269583 -61.08022 69.16562 1.0000000
4:3-1:2 -17.83363500 -82.95656 47.28929 0.9994890
1:4-1:2 -9.32470333 -74.44762 55.79822 0.9999999
2:4-1:2 -18.85593750 -83.97886 46.26698 0.9990435
3:4-1:2 -20.42688917 -85.54981 44.69603 0.9977294
4:4-1:2 -18.90539917 -84.02832 46.21752 0.9990154
3:2-2:2 7.82962167 -57.29330 72.95254 1.0000000
4:2-2:2 6.60353000 -58.51939 71.72645 1.0000000
1:3-2:2 14.77603083 -50.34689 79.89895 0.9999459
2:3-2:2 -0.56680250 -65.68972 64.55612 1.0000000
3:3-2:2 9.55257667 -55.57034 74.67550 0.9999998
4:3-2:2 -12.32375417 -77.44667 52.79917 0.9999947
1:4-2:2 -3.81482250 -68.93774 61.30810 1.0000000
2:4-2:2 -13.34605667 -78.46898 51.77686 0.9999850
3:4-2:2 -14.91700833 -80.03993 50.20591 0.9999391
4:4-2:2 -13.39551833 -78.51844 51.72740 0.9999843
4:2-3:2 -1.22609167 -66.34901 63.89683 1.0000000
1:3-3:2 6.94640917 -58.17651 72.06933 1.0000000
2:3-3:2 -8.39642417 -73.51934 56.72650 1.0000000
3:3-3:2 1.72295500 -63.39997 66.84588 1.0000000
4:3-3:2 -20.15337583 -85.27630 44.96954 0.9980310
1:4-3:2 -11.64444417 -76.76736 53.47848 0.9999975
2:4-3:2 -21.17567833 -86.29860 43.94724 0.9966990
3:4-3:2 -22.74663000 -87.86955 42.37629 0.9932544
4:4-3:2 -21.22514000 -86.34806 43.89778 0.9966191
1:3-4:2 8.17250083 -56.95042 73.29542 1.0000000
2:3-4:2 -7.17033250 -72.29325 57.95259 1.0000000
3:3-4:2 2.94904667 -62.17387 68.07197 1.0000000
4:3-4:2 -18.92728417 -84.05020 46.19564 0.9990027
1:4-4:2 -10.41835250 -75.54127 54.70457 0.9999994
2:4-4:2 -19.94958667 -85.07251 45.17333 0.9982332
3:4-4:2 -21.52053833 -86.64346 43.60238 0.9961076
4:4-4:2 -19.99904833 -85.12197 45.12387 0.9981858
2:3-1:3 -15.34283333 -80.46575 49.78009 0.9999140
3:3-1:3 -5.22345417 -70.34637 59.89947 1.0000000
4:3-1:3 -27.09978500 -92.22271 38.02314 0.9676531
1:4-1:3 -18.59085333 -83.71377 46.53207 0.9991828
2:4-1:3 -28.12208750 -93.24501 37.00083 0.9565279
3:4-1:3 -29.69303917 -94.81596 35.42988 0.9345187
4:4-1:3 -28.17154917 -93.29447 36.95137 0.9559283
3:3-2:3 10.11937917 -55.00354 75.24230 0.9999996
4:3-2:3 -11.75695167 -76.87987 53.36597 0.9999972
1:4-2:3 -3.24802000 -68.37094 61.87490 1.0000000
2:4-2:3 -12.77925417 -77.90217 52.34367 0.9999915
3:4-2:3 -14.35020583 -79.47313 50.77271 0.9999624
4:4-2:3 -12.82871583 -77.95164 52.29420 0.9999910
4:3-3:3 -21.87633083 -86.99925 43.24659 0.9954083
1:4-3:3 -13.36739917 -78.49032 51.75552 0.9999847
2:4-3:3 -22.89863333 -88.02155 42.22429 0.9928054
3:4-3:3 -24.46958500 -89.59251 40.65334 0.9865999
4:4-3:3 -22.94809500 -88.07102 42.17483 0.9926542
1:4-4:3 8.50893167 -56.61399 73.63185 1.0000000
2:4-4:3 -1.02230250 -66.14522 64.10062 1.0000000
3:4-4:3 -2.59325417 -67.71617 62.52967 1.0000000
4:4-4:3 -1.07176417 -66.19468 64.05116 1.0000000
2:4-1:4 -9.53123417 -74.65415 55.59169 0.9999998
3:4-1:4 -11.10218583 -76.22511 54.02073 0.9999987
4:4-1:4 -9.58069583 -74.70362 55.54222 0.9999998
3:4-2:4 -1.57095167 -66.69387 63.55197 1.0000000
4:4-2:4 -0.04946167 -65.17238 65.07346 1.0000000
4:4-3:4 1.52149000 -63.60143 66.64441 1.0000000
Letras do Tukey:
$Fermentador
$Fermentador$Letters
1 3 2 4
"a" "a" "a" "a"
$Fermentador$LetterMatrix
a
1 TRUE
3 TRUE
2 TRUE
4 TRUE
$Periodo
2 3 4 1
"a" "a" "ab" "b"
$`Fermentador:Periodo`
$`Fermentador:Periodo`$Letters
1:3 3:3 3:2 4:2 1:2 2:2 2:3 1:4 4:3 2:4 4:4 3:4 2:1 3:1 4:1 1:1
"a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a"
$`Fermentador:Periodo`$LetterMatrix
a
1:3 TRUE
3:3 TRUE
3:2 TRUE
4:2 TRUE
1:2 TRUE
2:2 TRUE
2:3 TRUE
1:4 TRUE
4:3 TRUE
2:4 TRUE
4:4 TRUE
3:4 TRUE
2:1 TRUE
3:1 TRUE
4:1 TRUE
1:1 TRUE
########################### Variável: Ac_Pr ##########################
ANOVA:
Df Sum Sq Mean Sq F value Pr(>F)
Fermentador 3 0.19 0.0646 0.037 0.990
Periodo 3 2.26 0.7530 0.432 0.731
Fermentador:Periodo 9 1.17 0.1296 0.074 1.000
Residuals 32 55.76 1.7425
32 observations deleted due to missingness
Médias (emmeans):
Fermentador Periodo emmean SE df lower.CL upper.CL
1 1 3.24 0.762 32 1.69 4.79
2 1 3.28 0.762 32 1.73 4.83
3 1 2.95 0.762 32 1.40 4.50
4 1 3.09 0.762 32 1.54 4.65
1 2 3.68 0.762 32 2.13 5.24
2 2 3.77 0.762 32 2.22 5.32
3 2 3.34 0.762 32 1.79 4.90
4 2 3.27 0.762 32 1.72 4.83
1 3 3.57 0.762 32 2.01 5.12
2 3 3.32 0.762 32 1.77 4.88
3 3 3.74 0.762 32 2.19 5.29
4 3 3.48 0.762 32 1.93 5.04
1 4 2.99 0.762 32 1.44 4.54
2 4 2.91 0.762 32 1.36 4.46
3 4 3.34 0.762 32 1.78 4.89
4 4 2.96 0.762 32 1.41 4.51
Confidence level used: 0.95
Tukey HSD:
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = formula, data = database)
$Fermentador
diff lwr upr p adj
2-1 -0.04753152 -1.507596 1.412533 0.9997486
3-1 -0.02727933 -1.487343 1.432785 0.9999524
4-1 -0.16639611 -1.626460 1.293668 0.9895935
3-2 0.02025219 -1.439812 1.480316 0.9999805
4-2 -0.11886459 -1.578929 1.341199 0.9961339
4-3 -0.13911678 -1.599181 1.320947 0.9938472
$Periodo
diff lwr upr p adj
2-1 0.377410866 -1.082653 1.8374749 0.8961785
3-1 0.386676925 -1.073387 1.8467410 0.8893903
4-1 -0.093451086 -1.553515 1.3666130 0.9981069
3-2 0.009266059 -1.450798 1.4693301 0.9999981
4-2 -0.470861952 -1.930926 0.9892021 0.8183127
4-3 -0.480128011 -1.940192 0.9799360 0.8095511
$`Fermentador:Periodo`
diff lwr upr p adj
2:1-1:1 0.042372062 -3.954172 4.038916 1.0000000
3:1-1:1 -0.291190510 -4.287735 3.705354 1.0000000
4:1-1:1 -0.145417986 -4.141962 3.851126 1.0000000
1:2-1:1 0.444401814 -3.552142 4.440946 1.0000000
2:2-1:1 0.531701995 -3.464842 4.528246 1.0000000
3:2-1:1 0.104730034 -3.891814 4.101274 1.0000000
4:2-1:1 0.034573187 -3.961971 4.031117 1.0000000
1:3-1:1 0.325106485 -3.671438 4.321651 1.0000000
2:3-1:1 0.084248708 -3.912295 4.080793 1.0000000
3:3-1:1 0.498978570 -3.497566 4.495523 1.0000000
4:3-1:1 0.244137504 -3.752407 4.240682 1.0000000
1:4-1:1 -0.251901060 -4.248445 3.744643 1.0000000
2:4-1:1 -0.330841620 -4.327386 3.665702 1.0000000
3:4-1:1 0.095971825 -3.900572 4.092516 1.0000000
4:4-1:1 -0.281269922 -4.277814 3.715274 1.0000000
3:1-2:1 -0.333562572 -4.330107 3.662982 1.0000000
4:1-2:1 -0.187790048 -4.184334 3.808754 1.0000000
1:2-2:1 0.402029752 -3.594514 4.398574 1.0000000
2:2-2:1 0.489329933 -3.507214 4.485874 1.0000000
3:2-2:1 0.062357972 -3.934186 4.058902 1.0000000
4:2-2:1 -0.007798875 -4.004343 3.988745 1.0000000
1:3-2:1 0.282734423 -3.713810 4.279279 1.0000000
2:3-2:1 0.041876646 -3.954667 4.038421 1.0000000
3:3-2:1 0.456606508 -3.539938 4.453151 1.0000000
4:3-2:1 0.201765442 -3.794779 4.198310 1.0000000
1:4-2:1 -0.294273122 -4.290817 3.702271 1.0000000
2:4-2:1 -0.373213682 -4.369758 3.623330 1.0000000
3:4-2:1 0.053599763 -3.942944 4.050144 1.0000000
4:4-2:1 -0.323641984 -4.320186 3.672902 1.0000000
4:1-3:1 0.145772524 -3.850772 4.142317 1.0000000
1:2-3:1 0.735592324 -3.260952 4.732136 0.9999963
2:2-3:1 0.822892505 -3.173652 4.819437 0.9999841
3:2-3:1 0.395920544 -3.600624 4.392465 1.0000000
4:2-3:1 0.325763697 -3.670780 4.322308 1.0000000
1:3-3:1 0.616296995 -3.380247 4.612841 0.9999997
2:3-3:1 0.375439218 -3.621105 4.371983 1.0000000
3:3-3:1 0.790169080 -3.206375 4.786713 0.9999906
4:3-3:1 0.535328013 -3.461216 4.531872 1.0000000
1:4-3:1 0.039289450 -3.957255 4.035834 1.0000000
2:4-3:1 -0.039651110 -4.036195 3.956893 1.0000000
3:4-3:1 0.387162334 -3.609382 4.383706 1.0000000
4:4-3:1 0.009920588 -3.986624 4.006465 1.0000000
1:2-4:1 0.589819800 -3.406724 4.586364 0.9999998
2:2-4:1 0.677119981 -3.319424 4.673664 0.9999988
3:2-4:1 0.250148020 -3.746396 4.246692 1.0000000
4:2-4:1 0.179991173 -3.816553 4.176535 1.0000000
1:3-4:1 0.470524471 -3.526020 4.467069 1.0000000
2:3-4:1 0.229666694 -3.766877 4.226211 1.0000000
3:3-4:1 0.644396556 -3.352148 4.640941 0.9999994
4:3-4:1 0.389555489 -3.606989 4.386100 1.0000000
1:4-4:1 -0.106483074 -4.103027 3.890061 1.0000000
2:4-4:1 -0.185423634 -4.181968 3.811120 1.0000000
3:4-4:1 0.241389810 -3.755154 4.237934 1.0000000
4:4-4:1 -0.135851936 -4.132396 3.860692 1.0000000
2:2-1:2 0.087300181 -3.909244 4.083844 1.0000000
3:2-1:2 -0.339671780 -4.336216 3.656872 1.0000000
4:2-1:2 -0.409828627 -4.406373 3.586715 1.0000000
1:3-1:2 -0.119295329 -4.115839 3.877249 1.0000000
2:3-1:2 -0.360153106 -4.356697 3.636391 1.0000000
3:3-1:2 0.054576756 -3.941967 4.051121 1.0000000
4:3-1:2 -0.200264310 -4.196808 3.796280 1.0000000
1:4-1:2 -0.696302874 -4.692847 3.300241 0.9999982
2:4-1:2 -0.775243434 -4.771788 3.221301 0.9999927
3:4-1:2 -0.348429989 -4.344974 3.648114 1.0000000
4:4-1:2 -0.725671736 -4.722216 3.270872 0.9999969
3:2-2:2 -0.426971961 -4.423516 3.569572 1.0000000
4:2-2:2 -0.497128808 -4.493673 3.499415 1.0000000
1:3-2:2 -0.206595510 -4.203140 3.789949 1.0000000
2:3-2:2 -0.447453287 -4.443997 3.549091 1.0000000
3:3-2:2 -0.032723425 -4.029268 3.963821 1.0000000
4:3-2:2 -0.287564491 -4.284109 3.708980 1.0000000
1:4-2:2 -0.783603055 -4.780147 3.212941 0.9999916
2:4-2:2 -0.862543615 -4.859088 3.134000 0.9999711
3:4-2:2 -0.435730170 -4.432274 3.560814 1.0000000
4:4-2:2 -0.812971917 -4.809516 3.183572 0.9999864
4:2-3:2 -0.070156847 -4.066701 3.926387 1.0000000
1:3-3:2 0.220376451 -3.776168 4.216921 1.0000000
2:3-3:2 -0.020481326 -4.017025 3.976063 1.0000000
3:3-3:2 0.394248536 -3.602296 4.390793 1.0000000
4:3-3:2 0.139407470 -3.857137 4.135952 1.0000000
1:4-3:2 -0.356631094 -4.353175 3.639913 1.0000000
2:4-3:2 -0.435571654 -4.432116 3.560972 1.0000000
3:4-3:2 -0.008758209 -4.005302 3.987786 1.0000000
4:4-3:2 -0.385999956 -4.382544 3.610544 1.0000000
1:3-4:2 0.290533298 -3.706011 4.287077 1.0000000
2:3-4:2 0.049675521 -3.946869 4.046220 1.0000000
3:3-4:2 0.464405383 -3.532139 4.460949 1.0000000
4:3-4:2 0.209564316 -3.786980 4.206108 1.0000000
1:4-4:2 -0.286474247 -4.283018 3.710070 1.0000000
2:4-4:2 -0.365414807 -4.361959 3.631129 1.0000000
3:4-4:2 0.061398637 -3.935145 4.057943 1.0000000
4:4-4:2 -0.315843109 -4.312387 3.680701 1.0000000
2:3-1:3 -0.240857777 -4.237402 3.755686 1.0000000
3:3-1:3 0.173872085 -3.822672 4.170416 1.0000000
4:3-1:3 -0.080968982 -4.077513 3.915575 1.0000000
1:4-1:3 -0.577007545 -4.573552 3.419537 0.9999999
2:4-1:3 -0.655948105 -4.652492 3.340596 0.9999992
3:4-1:3 -0.229134661 -4.225679 3.767409 1.0000000
4:4-1:3 -0.606376407 -4.602921 3.390168 0.9999997
3:3-2:3 0.414729862 -3.581814 4.411274 1.0000000
4:3-2:3 0.159888796 -3.836655 4.156433 1.0000000
1:4-2:3 -0.336149768 -4.332694 3.660394 1.0000000
2:4-2:3 -0.415090328 -4.411634 3.581454 1.0000000
3:4-2:3 0.011723117 -3.984821 4.008267 1.0000000
4:4-2:3 -0.365518630 -4.362063 3.631025 1.0000000
4:3-3:3 -0.254841066 -4.251385 3.741703 1.0000000
1:4-3:3 -0.750879630 -4.747424 3.245664 0.9999952
2:4-3:3 -0.829820190 -4.826364 3.166724 0.9999823
3:4-3:3 -0.403006745 -4.399551 3.593537 1.0000000
4:4-3:3 -0.780248492 -4.776793 3.216296 0.9999920
1:4-4:3 -0.496038563 -4.492583 3.500506 1.0000000
2:4-4:3 -0.574979123 -4.571523 3.421565 0.9999999
3:4-4:3 -0.148165679 -4.144710 3.848378 1.0000000
4:4-4:3 -0.525407425 -4.521952 3.471137 1.0000000
2:4-1:4 -0.078940560 -4.075485 3.917604 1.0000000
3:4-1:4 0.347872884 -3.648671 4.344417 1.0000000
4:4-1:4 -0.029368862 -4.025913 3.967175 1.0000000
3:4-2:4 0.426813444 -3.569731 4.423358 1.0000000
4:4-2:4 0.049571698 -3.946972 4.046116 1.0000000
4:4-3:4 -0.377241746 -4.373786 3.619302 1.0000000
Letras do Tukey:
$Fermentador
$Fermentador$Letters
1 3 2 4
"a" "a" "a" "a"
$Fermentador$LetterMatrix
a
1 TRUE
3 TRUE
2 TRUE
4 TRUE
$Periodo
$Periodo$Letters
3 2 1 4
"a" "a" "a" "a"
$Periodo$LetterMatrix
a
3 TRUE
2 TRUE
1 TRUE
4 TRUE
$`Fermentador:Periodo`
$`Fermentador:Periodo`$Letters
2:2 3:3 1:2 1:3 4:3 3:2 3:4 2:3 2:1 4:2 1:1 4:1 1:4 4:4 3:1 2:4
"a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a" "a"
$`Fermentador:Periodo`$LetterMatrix
a
2:2 TRUE
3:3 TRUE
1:2 TRUE
1:3 TRUE
4:3 TRUE
3:2 TRUE
3:4 TRUE
2:3 TRUE
2:1 TRUE
4:2 TRUE
1:1 TRUE
4:1 TRUE
1:4 TRUE
4:4 TRUE
3:1 TRUE
2:4 TRUE
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