Trabajo_Sandra
Juan Sebastian Herrera Reales
2023-05-29
## Bloque Temperatura SPAD Altura.de.la.planta..cm. Altura.de.la.planta..m.
## 1 B1 18.2 38.7 21 0.21
## 2 B1 18.8 34.8 20 0.20
## 3 B1 17.8 36.3 25 0.25
## 4 B1 18.2 37.2 31 0.31
## 5 B1 17.5 37.9 26 0.26
## 6 B1 17.1 39.6 21 0.21
## 7 B2 18.3 37.3 25 0.25
## 8 B2 18.7 37.7 20 0.20
## 9 B2 19.0 33.9 26 0.26
## 10 B2 17.5 37.6 27 0.27
## 11 B2 17.3 37.1 23 0.23
## 12 B2 16.8 37.9 25 0.25
## 13 B3 16.4 38.4 25 0.25
## 14 B3 17.1 34.8 33 0.33
## 15 B3 16.8 33.6 28 0.28
## 16 B3 14.8 35.8 24 0.24
## 17 B3 17.1 36.8 30 0.30
## 18 B3 16.9 36.6 23 0.23
## 19 B4 16.6 36.9 25 0.25
## 20 B4 16.3 35.8 25 0.25
## 21 B4 17.5 37.9 26 0.26
## 22 B4 17.8 39.6 31 0.31
## 23 B4 16.3 35.5 28 0.28
## 24 B4 17.5 34.9 24 0.24
## TRC Peso.fresco..g. AREA
## 1 0.08457007 2.226667 102.76333
## 2 0.08321479 2.420000 118.77333
## 3 0.08941322 2.280000 99.86000
## 4 0.09538853 1.616667 79.41667
## 5 0.09050268 2.135833 100.20333
## 6 0.08457007 2.135833 100.20333
## 7 0.08941322 1.993333 145.62000
## 8 0.08321479 1.263333 87.74667
## 9 0.09050268 1.350000 85.66000
## 10 0.09155102 2.793333 129.89333
## 11 0.08709706 1.850000 112.23000
## 12 0.08941322 1.850000 112.23000
## 13 0.08941322 2.090000 117.83333
## 14 0.09712521 1.380000 109.71300
## 15 0.09256124 3.173333 143.98000
## 16 0.08827927 2.893333 142.06000
## 17 0.09447771 2.384167 128.39658
## 18 0.08709706 2.384167 128.39658
## 19 0.08941322 2.384167 128.39658
## 20 0.08941322 1.490000 99.14000
## 21 0.09050268 1.453333 91.03833
## 22 0.09538853 1.156667 86.28667
## 23 0.09256124 1.805833 100.24592
## 24 0.08827927 1.658000 101.02150## Bloque Temperatura SPAD Altura_cm Altura_m TRC Peso_F Area
## 1 B1 18.2 38.7 21 0.21 0.08457007 2.226667 102.76333
## 2 B1 18.8 34.8 20 0.20 0.08321479 2.420000 118.77333
## 3 B1 17.8 36.3 25 0.25 0.08941322 2.280000 99.86000
## 4 B1 18.2 37.2 31 0.31 0.09538853 1.616667 79.41667
## 5 B1 17.5 37.9 26 0.26 0.09050268 2.135833 100.20333
## 6 B1 17.1 39.6 21 0.21 0.08457007 2.135833 100.20333
## 7 B2 18.3 37.3 25 0.25 0.08941322 1.993333 145.62000
## 8 B2 18.7 37.7 20 0.20 0.08321479 1.263333 87.74667
## 9 B2 19.0 33.9 26 0.26 0.09050268 1.350000 85.66000
## 10 B2 17.5 37.6 27 0.27 0.09155102 2.793333 129.89333
## 11 B2 17.3 37.1 23 0.23 0.08709706 1.850000 112.23000
## 12 B2 16.8 37.9 25 0.25 0.08941322 1.850000 112.23000
## 13 B3 16.4 38.4 25 0.25 0.08941322 2.090000 117.83333
## 14 B3 17.1 34.8 33 0.33 0.09712521 1.380000 109.71300
## 15 B3 16.8 33.6 28 0.28 0.09256124 3.173333 143.98000
## 16 B3 14.8 35.8 24 0.24 0.08827927 2.893333 142.06000
## 17 B3 17.1 36.8 30 0.30 0.09447771 2.384167 128.39658
## 18 B3 16.9 36.6 23 0.23 0.08709706 2.384167 128.39658
## 19 B4 16.6 36.9 25 0.25 0.08941322 2.384167 128.39658
## 20 B4 16.3 35.8 25 0.25 0.08941322 1.490000 99.14000
## 21 B4 17.5 37.9 26 0.26 0.09050268 1.453333 91.03833
## 22 B4 17.8 39.6 31 0.31 0.09538853 1.156667 86.28667
## 23 B4 16.3 35.5 28 0.28 0.09256124 1.805833 100.24592
## 24 B4 17.5 34.9 24 0.24 0.08827927 1.658000 101.02150
## Analysis of Variance Table
##
## Response: Temperatura
## Df Sum Sq Mean Sq F value Pr(>F)
## Bloque 3 8.9846 2.99486 5.1304 0.008561 **
## Residuals 20 11.6750 0.58375
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = Temperatura ~ Bloque, data = datos_m1)
##
## $Bloque
## diff lwr upr p adj
## B2-B1 -3.552714e-15 -1.2346555 1.2346555 1.0000000
## B3-B1 -1.416667e+00 -2.6513222 -0.1820111 0.0209551
## B4-B1 -9.333333e-01 -2.1679889 0.3013222 0.1821741
## B3-B2 -1.416667e+00 -2.6513222 -0.1820111 0.0209551
## B4-B2 -9.333333e-01 -2.1679889 0.3013222 0.1821741
## B4-B3 4.833333e-01 -0.7513222 1.7179889 0.6961290## Analysis of Variance Table
##
## Response: SPAD
## Df Sum Sq Mean Sq F value Pr(>F)
## Bloque 3 6.195 2.0650 0.7445 0.5381
## Residuals 20 55.470 2.7735## Analysis of Variance Table
##
## Response: TRC
## Df Sum Sq Mean Sq F value Pr(>F)
## Bloque 3 5.4987e-05 1.8329e-05 1.3873 0.2756
## Residuals 20 2.6424e-04 1.3212e-05## Analysis of Variance Table
##
## Response: Altura_m
## Df Sum Sq Mean Sq F value Pr(>F)
## Bloque 3 0.0044333 0.0014778 1.2982 0.3025
## Residuals 20 0.0227667 0.0011383## Analysis of Variance Table
##
## Response: Area
## Df Sum Sq Mean Sq F value Pr(>F)
## Bloque 3 3114.8 1038.28 3.7918 0.02653 *
## Residuals 20 5476.4 273.82
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = Area ~ Bloque, data = datos_m1)
##
## $Bloque
## diff lwr upr p adj
## B2-B1 12.0266667 -14.713532 38.7668651 0.5983446
## B3-B1 28.1932500 1.453052 54.9334484 0.0365006
## B4-B1 0.8181667 -25.922032 27.5583651 0.9997668
## B3-B2 16.1665833 -10.573615 42.9067818 0.3535649
## B4-B2 -11.2085000 -37.948698 15.5316984 0.6500191
## B4-B3 -27.3750833 -54.115282 -0.6348849 0.0436179## Analysis of Variance Table
##
## Response: Peso_F
## Df Sum Sq Mean Sq F value Pr(>F)
## Bloque 3 1.8318 0.61061 2.581 0.08206 .
## Residuals 20 4.7315 0.23657
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Shapiro-Wilk normality test
##
## data: mod1_T$residuals
## W = 0.9481, p-value = 0.2463##
## Shapiro-Wilk normality test
##
## data: mod1_A$residuals
## W = 0.95075, p-value = 0.2813##
## Shapiro-Wilk normality test
##
## data: mod1_Ar$residuals
## W = 0.94282, p-value = 0.1885##
## Shapiro-Wilk normality test
##
## data: mod1_S$residuals
## W = 0.96966, p-value = 0.6587##
## Shapiro-Wilk normality test
##
## data: mod1_TR$residuals
## W = 0.9694, p-value = 0.6521##
## Shapiro-Wilk normality test
##
## data: mod1_P$residuals
## W = 0.95544, p-value = 0.3539##
## Bartlett test of homogeneity of variances
##
## data: Temperatura by Bloque
## Bartlett's K-squared = 0.9519, df = 3, p-value = 0.8129##
## Bartlett test of homogeneity of variances
##
## data: SPAD by Bloque
## Bartlett's K-squared = 0.12303, df = 3, p-value = 0.9889##
## Bartlett test of homogeneity of variances
##
## data: Altura_m by Bloque
## Bartlett's K-squared = 1.927, df = 3, p-value = 0.5877##
## Bartlett test of homogeneity of variances
##
## data: Area by Bloque
## Bartlett's K-squared = 2.5093, df = 3, p-value = 0.4736##
## Bartlett test of homogeneity of variances
##
## data: TRC by Bloque
## Bartlett's K-squared = 1.8483, df = 3, p-value = 0.6045##
## Bartlett test of homogeneity of variances
##
## data: Peso_F by Bloque
## Bartlett's K-squared = 3.1828, df = 3, p-value = 0.3643## New names:
## • `Altura de la planta (cm)` -> `Altura de la planta (cm)...5`
## • `Altura de la planta (cm)` -> `Altura de la planta (cm)...6`## Bloque Tratamiento Temperatura SPAD Altura.de.la.planta..cm....5
## 1 B1 T1 14.7 38.7 150.00
## 2 B1 T1 14.6 38.7 152.00
## 3 B1 T1 14.6 38.7 154.00
## 4 B1 T1 15.7 38.7 159.00
## 5 B1 T1 14.6 38.7 153.75
## 6 B1 T2 15.0 42.1 146.00
## 7 B1 T2 15.0 42.1 151.00
## 8 B1 T2 15.1 42.1 148.00
## 9 B1 T2 15.1 42.1 153.00
## 10 B1 T2 15.3 42.1 149.50
## 11 B1 T3 14.7 40.7 177.00
## 12 B1 T3 14.6 40.7 188.00
## 13 B1 T3 14.6 40.7 181.00
## 14 B1 T3 15.7 40.7 189.00
## 15 B1 T3 14.6 40.7 183.75
## 16 B1 T4 15.2 40.8 149.00
## 17 B1 T4 15.1 40.8 159.00
## 18 B1 T4 15.2 40.8 157.00
## 19 B1 T4 18.0 40.8 143.00
## 20 B1 T4 15.1 40.8 152.00
## 21 B2 T1 15.8 39.5 146.00
## 22 B2 T1 15.8 39.5 140.00
## 23 B2 T1 15.7 39.5 153.00
## 24 B2 T1 15.2 39.5 137.00
## 25 B2 T1 15.3 39.5 144.00
## 26 B2 T2 15.3 48.2 146.00
## 27 B2 T2 15.3 48.2 140.00
## 28 B2 T2 15.6 48.2 142.00
## 29 B2 T2 15.6 48.2 143.00
## 30 B2 T2 15.5 48.2 142.75
## 31 B2 T3 13.7 45.6 149.00
## 32 B2 T3 13.6 45.6 150.00
## 33 B2 T3 15.2 45.6 153.00
## 34 B2 T3 14.3 45.6 147.00
## 35 B2 T3 15.4 45.6 149.75
## 36 B2 T4 15.2 39.5 169.00
## 37 B2 T4 14.6 39.5 181.00
## 38 B2 T4 14.7 39.5 177.00
## 39 B2 T4 14.5 39.5 173.00
## 40 B2 T4 14.6 39.5 175.00
## 41 B3 T1 13.2 38.2 175.00
## 42 B3 T1 13.2 38.2 179.00
## 43 B3 T1 12.8 38.2 177.00
## 44 B3 T1 12.8 38.2 175.00
## 45 B3 T1 12.9 38.2 176.50
## 46 B3 T2 12.0 43.3 164.00
## 47 B3 T2 11.9 43.3 169.00
## 48 B3 T2 11.3 43.3 172.00
## 49 B3 T2 12.7 43.3 164.00
## 50 B3 T2 12.4 43.3 167.25
## 51 B3 T3 10.6 38.2 161.00
## 52 B3 T3 10.5 38.2 168.00
## 53 B3 T3 10.5 38.2 165.00
## 54 B3 T3 10.6 38.2 158.00
## 55 B3 T3 11.7 38.2 163.00
## 56 B3 T4 12.5 39.0 166.00
## 57 B3 T4 12.4 39.0 185.00
## 58 B3 T4 12.2 39.0 173.00
## 59 B3 T4 12.1 39.0 178.00
## 60 B3 T4 12.5 39.0 175.50
## 61 B4 T1 12.0 38.3 160.00
## 62 B4 T1 10.7 38.3 150.00
## 63 B4 T1 10.8 38.3 163.00
## 64 B4 T1 10.7 38.3 149.00
## 65 B4 T1 10.8 38.3 155.50
## 66 B4 T2 11.7 40.0 187.00
## 67 B4 T2 11.6 40.0 189.00
## 68 B4 T2 11.6 40.0 181.00
## 69 B4 T2 11.7 40.0 192.00
## 70 B4 T2 11.6 40.0 187.25
## 71 B4 T3 10.9 39.7 179.00
## 72 B4 T3 10.8 39.7 175.00
## 73 B4 T3 10.9 39.7 173.00
## 74 B4 T3 10.8 39.7 178.00
## 75 B4 T3 10.8 39.7 176.25
## 76 B4 T4 10.9 44.9 162.00
## 77 B4 T4 11.0 44.9 160.00
## 78 B4 T4 11.1 44.9 159.00
## 79 B4 T4 11.0 44.9 165.00
## 80 B4 T4 10.9 44.9 161.50
## Altura.de.la.planta..cm....6 Peso.fresco.de.la.hoja..g. AREA TRC
## 1 21.00000 3.310000 142.8900 0.09830564
## 2 20.00000 3.810000 165.2900 0.10140741
## 3 25.00000 3.520000 144.8500 0.09090384
## 4 31.00000 3.546667 151.0100 0.08174585
## 5 26.00000 3.665000 153.7167 0.08886157
## 6 24.00000 4.800000 213.4300 0.09027764
## 7 25.00000 3.690000 165.8200 0.08992020
## 8 20.00000 4.020000 170.1900 0.10007400
## 9 26.00000 4.043750 183.1467 0.08861707
## 10 27.00000 4.138438 183.1467 0.08557298
## 11 25.00000 3.150000 163.4700 0.09786370
## 12 24.33333 2.990000 152.6100 0.10222974
## 13 25.00000 2.840000 104.8300 0.09898106
## 14 33.00000 3.279609 140.3033 0.08726197
## 15 28.00000 3.064902 140.3033 0.09406858
## 16 30.00000 2.480000 128.8140 0.08013745
## 17 23.00000 3.120000 157.5700 0.09667050
## 18 27.16667 2.960000 146.8600 0.08771275
## 19 25.00000 2.906226 144.4147 0.08719844
## 20 25.00000 2.866556 144.4147 0.09025023
## 21 31.00000 3.380000 293.8700 0.07748097
## 22 28.00000 3.730000 261.7500 0.08047190
## 23 24.00000 3.230000 191.2700 0.09261920
## 24 26.50000 3.301639 248.9633 0.08214181
## 25 26.50000 3.410410 248.9633 0.08463343
## 26 26.44000 3.310000 283.7300 0.08543643
## 27 26.12800 2.840000 288.1300 0.08393174
## 28 26.55360 2.980000 136.7720 0.08383309
## 29 26.56432 3.135102 236.2107 0.08416378
## 30 26.57718 3.066276 236.2107 0.08405209
## 31 26.45514 2.680000 145.3300 0.08642478
## 32 26.52057 2.480000 141.1900 0.08663572
## 33 26.51397 2.820000 149.0900 0.08763831
## 34 26.50390 2.660000 145.2000 0.08565704
## 35 26.48924 2.660000 145.2000 0.08661143
## 36 26.50485 3.250000 201.6100 0.09262855
## 37 26.50170 3.350000 210.1900 0.09606440
## 38 26.49925 3.650000 200.7400 0.09495166
## 39 26.49832 3.420000 204.1800 0.09381051
## 40 26.50014 3.420000 204.1800 0.09438180
## 41 26.50005 3.640000 178.0800 0.09438196
## 42 26.49972 3.950000 181.6600 0.09551257
## 43 26.49982 3.770000 180.9800 0.09495059
## 44 26.50012 3.790000 180.2400 0.09438184
## 45 26.50011 3.790000 180.2400 0.09480859
## 46 26.49995 3.540000 169.5500 0.09113618
## 47 26.49999 3.380000 166.5000 0.09263771
## 48 26.50003 4.090000 197.2000 0.09351743
## 49 26.50001 3.670000 177.7500 0.09113607
## 50 26.49999 3.670000 177.7500 0.09211727
## 51 26.50000 3.730000 181.6700 0.09021298
## 52 26.50000 4.340000 217.4600 0.09234095
## 53 26.50000 3.260000 169.0900 0.09144004
## 54 26.50000 3.776667 189.4067 0.08927252
## 55 26.50000 3.776667 189.4067 0.09083027
## 56 26.50000 2.780000 187.8500 0.09174215
## 57 26.50000 2.540000 168.3300 0.09716056
## 58 26.50000 3.020000 202.9800 0.09380734
## 59 26.50000 3.020000 189.3200 0.09523194
## 60 26.50000 2.823333 189.3200 0.09452472
## 61 26.50000 3.640000 181.6300 0.08990145
## 62 26.50000 3.890000 194.3600 0.08667453
## 63 26.50000 3.940000 191.9700 0.09083027
## 64 26.50000 3.823333 189.3200 0.08634008
## 65 26.50000 3.823333 189.3200 0.08847505
## 66 26.50000 3.110000 135.0820 0.09769819
## 67 26.50000 2.820000 126.2100 0.09823011
## 68 26.50000 3.000000 133.4500 0.09606761
## 69 26.50000 2.976667 131.5807 0.09901753
## 70 26.50000 2.976667 131.5807 0.09776499
## 71 26.47707 2.570000 134.6600 0.09555534
## 72 26.47248 2.730000 146.8400 0.09443401
## 73 26.46698 3.070000 137.2300 0.09386969
## 74 26.46037 2.790000 139.5767 0.09530677
## 75 26.47358 2.790000 139.5767 0.09478781
## 76 26.46870 3.900000 183.2400 0.09058167
## 77 26.46794 4.070000 176.4500 0.08996197
## 78 26.46814 3.630000 170.2100 0.08964813
## 79 26.19904 3.866667 176.6333 0.09201114
## 80 26.19904 3.866667 176.6333 0.09093912## Bloque Tratamiento Temperatura SPAD Altura_cm Altura_cm_resta Peso_F
## 1 B1 T1 14.7 38.7 150.00 21.00000 3.310000
## 2 B1 T1 14.6 38.7 152.00 20.00000 3.810000
## 3 B1 T1 14.6 38.7 154.00 25.00000 3.520000
## 4 B1 T1 15.7 38.7 159.00 31.00000 3.546667
## 5 B1 T1 14.6 38.7 153.75 26.00000 3.665000
## 6 B1 T2 15.0 42.1 146.00 24.00000 4.800000
## 7 B1 T2 15.0 42.1 151.00 25.00000 3.690000
## 8 B1 T2 15.1 42.1 148.00 20.00000 4.020000
## 9 B1 T2 15.1 42.1 153.00 26.00000 4.043750
## 10 B1 T2 15.3 42.1 149.50 27.00000 4.138438
## 11 B1 T3 14.7 40.7 177.00 25.00000 3.150000
## 12 B1 T3 14.6 40.7 188.00 24.33333 2.990000
## 13 B1 T3 14.6 40.7 181.00 25.00000 2.840000
## 14 B1 T3 15.7 40.7 189.00 33.00000 3.279609
## 15 B1 T3 14.6 40.7 183.75 28.00000 3.064902
## 16 B1 T4 15.2 40.8 149.00 30.00000 2.480000
## 17 B1 T4 15.1 40.8 159.00 23.00000 3.120000
## 18 B1 T4 15.2 40.8 157.00 27.16667 2.960000
## 19 B1 T4 18.0 40.8 143.00 25.00000 2.906226
## 20 B1 T4 15.1 40.8 152.00 25.00000 2.866556
## 21 B2 T1 15.8 39.5 146.00 31.00000 3.380000
## 22 B2 T1 15.8 39.5 140.00 28.00000 3.730000
## 23 B2 T1 15.7 39.5 153.00 24.00000 3.230000
## 24 B2 T1 15.2 39.5 137.00 26.50000 3.301639
## 25 B2 T1 15.3 39.5 144.00 26.50000 3.410410
## 26 B2 T2 15.3 48.2 146.00 26.44000 3.310000
## 27 B2 T2 15.3 48.2 140.00 26.12800 2.840000
## 28 B2 T2 15.6 48.2 142.00 26.55360 2.980000
## 29 B2 T2 15.6 48.2 143.00 26.56432 3.135102
## 30 B2 T2 15.5 48.2 142.75 26.57718 3.066276
## 31 B2 T3 13.7 45.6 149.00 26.45514 2.680000
## 32 B2 T3 13.6 45.6 150.00 26.52057 2.480000
## 33 B2 T3 15.2 45.6 153.00 26.51397 2.820000
## 34 B2 T3 14.3 45.6 147.00 26.50390 2.660000
## 35 B2 T3 15.4 45.6 149.75 26.48924 2.660000
## 36 B2 T4 15.2 39.5 169.00 26.50485 3.250000
## 37 B2 T4 14.6 39.5 181.00 26.50170 3.350000
## 38 B2 T4 14.7 39.5 177.00 26.49925 3.650000
## 39 B2 T4 14.5 39.5 173.00 26.49832 3.420000
## 40 B2 T4 14.6 39.5 175.00 26.50014 3.420000
## 41 B3 T1 13.2 38.2 175.00 26.50005 3.640000
## 42 B3 T1 13.2 38.2 179.00 26.49972 3.950000
## 43 B3 T1 12.8 38.2 177.00 26.49982 3.770000
## 44 B3 T1 12.8 38.2 175.00 26.50012 3.790000
## 45 B3 T1 12.9 38.2 176.50 26.50011 3.790000
## 46 B3 T2 12.0 43.3 164.00 26.49995 3.540000
## 47 B3 T2 11.9 43.3 169.00 26.49999 3.380000
## 48 B3 T2 11.3 43.3 172.00 26.50003 4.090000
## 49 B3 T2 12.7 43.3 164.00 26.50001 3.670000
## 50 B3 T2 12.4 43.3 167.25 26.49999 3.670000
## 51 B3 T3 10.6 38.2 161.00 26.50000 3.730000
## 52 B3 T3 10.5 38.2 168.00 26.50000 4.340000
## 53 B3 T3 10.5 38.2 165.00 26.50000 3.260000
## 54 B3 T3 10.6 38.2 158.00 26.50000 3.776667
## 55 B3 T3 11.7 38.2 163.00 26.50000 3.776667
## 56 B3 T4 12.5 39.0 166.00 26.50000 2.780000
## 57 B3 T4 12.4 39.0 185.00 26.50000 2.540000
## 58 B3 T4 12.2 39.0 173.00 26.50000 3.020000
## 59 B3 T4 12.1 39.0 178.00 26.50000 3.020000
## 60 B3 T4 12.5 39.0 175.50 26.50000 2.823333
## 61 B4 T1 12.0 38.3 160.00 26.50000 3.640000
## 62 B4 T1 10.7 38.3 150.00 26.50000 3.890000
## 63 B4 T1 10.8 38.3 163.00 26.50000 3.940000
## 64 B4 T1 10.7 38.3 149.00 26.50000 3.823333
## 65 B4 T1 10.8 38.3 155.50 26.50000 3.823333
## 66 B4 T2 11.7 40.0 187.00 26.50000 3.110000
## 67 B4 T2 11.6 40.0 189.00 26.50000 2.820000
## 68 B4 T2 11.6 40.0 181.00 26.50000 3.000000
## 69 B4 T2 11.7 40.0 192.00 26.50000 2.976667
## 70 B4 T2 11.6 40.0 187.25 26.50000 2.976667
## 71 B4 T3 10.9 39.7 179.00 26.47707 2.570000
## 72 B4 T3 10.8 39.7 175.00 26.47248 2.730000
## 73 B4 T3 10.9 39.7 173.00 26.46698 3.070000
## 74 B4 T3 10.8 39.7 178.00 26.46037 2.790000
## 75 B4 T3 10.8 39.7 176.25 26.47358 2.790000
## 76 B4 T4 10.9 44.9 162.00 26.46870 3.900000
## 77 B4 T4 11.0 44.9 160.00 26.46794 4.070000
## 78 B4 T4 11.1 44.9 159.00 26.46814 3.630000
## 79 B4 T4 11.0 44.9 165.00 26.19904 3.866667
## 80 B4 T4 10.9 44.9 161.50 26.19904 3.866667
## area_F TRC
## 1 142.8900 0.09830564
## 2 165.2900 0.10140741
## 3 144.8500 0.09090384
## 4 151.0100 0.08174585
## 5 153.7167 0.08886157
## 6 213.4300 0.09027764
## 7 165.8200 0.08992020
## 8 170.1900 0.10007400
## 9 183.1467 0.08861707
## 10 183.1467 0.08557298
## 11 163.4700 0.09786370
## 12 152.6100 0.10222974
## 13 104.8300 0.09898106
## 14 140.3033 0.08726197
## 15 140.3033 0.09406858
## 16 128.8140 0.08013745
## 17 157.5700 0.09667050
## 18 146.8600 0.08771275
## 19 144.4147 0.08719844
## 20 144.4147 0.09025023
## 21 293.8700 0.07748097
## 22 261.7500 0.08047190
## 23 191.2700 0.09261920
## 24 248.9633 0.08214181
## 25 248.9633 0.08463343
## 26 283.7300 0.08543643
## 27 288.1300 0.08393174
## 28 136.7720 0.08383309
## 29 236.2107 0.08416378
## 30 236.2107 0.08405209
## 31 145.3300 0.08642478
## 32 141.1900 0.08663572
## 33 149.0900 0.08763831
## 34 145.2000 0.08565704
## 35 145.2000 0.08661143
## 36 201.6100 0.09262855
## 37 210.1900 0.09606440
## 38 200.7400 0.09495166
## 39 204.1800 0.09381051
## 40 204.1800 0.09438180
## 41 178.0800 0.09438196
## 42 181.6600 0.09551257
## 43 180.9800 0.09495059
## 44 180.2400 0.09438184
## 45 180.2400 0.09480859
## 46 169.5500 0.09113618
## 47 166.5000 0.09263771
## 48 197.2000 0.09351743
## 49 177.7500 0.09113607
## 50 177.7500 0.09211727
## 51 181.6700 0.09021298
## 52 217.4600 0.09234095
## 53 169.0900 0.09144004
## 54 189.4067 0.08927252
## 55 189.4067 0.09083027
## 56 187.8500 0.09174215
## 57 168.3300 0.09716056
## 58 202.9800 0.09380734
## 59 189.3200 0.09523194
## 60 189.3200 0.09452472
## 61 181.6300 0.08990145
## 62 194.3600 0.08667453
## 63 191.9700 0.09083027
## 64 189.3200 0.08634008
## 65 189.3200 0.08847505
## 66 135.0820 0.09769819
## 67 126.2100 0.09823011
## 68 133.4500 0.09606761
## 69 131.5807 0.09901753
## 70 131.5807 0.09776499
## 71 134.6600 0.09555534
## 72 146.8400 0.09443401
## 73 137.2300 0.09386969
## 74 139.5767 0.09530677
## 75 139.5767 0.09478781
## 76 183.2400 0.09058167
## 77 176.4500 0.08996197
## 78 170.2100 0.08964813
## 79 176.6333 0.09201114
## 80 176.6333 0.09093912## [1] "Bloque" "Tratamiento" "Temperatura" "SPAD"
## [5] "Altura_cm" "Altura_cm_resta" "Peso_F" "area_F"
## [9] "TRC"
## Df Pillai approx F num Df den Df Pr(>F)
## Bloque 3 1.6253 13.7938 18 210 < 2.2e-16 ***
## Tratamiento 3 1.1177 6.9279 18 210 1.204e-13 ***
## Residuals 73
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Analysis of Variance Table
##
## Response: Temperatura
## Df Sum Sq Mean Sq F value Pr(>F)
## Bloque 3 254.671 84.890 225.1072 < 2.2e-16 ***
## Tratamiento 3 10.071 3.357 8.9022 4.216e-05 ***
## Residuals 73 27.529 0.377
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = Temperatura ~ Bloque + Tratamiento, data = datos_m2)
##
## $Bloque
## diff lwr upr p adj
## B2-B1 -0.080 -0.5905758 0.4305758 0.9762452
## B3-B1 -3.085 -3.5955758 -2.5744242 0.0000000
## B4-B1 -4.010 -4.5205758 -3.4994242 0.0000000
## B3-B2 -3.005 -3.5155758 -2.4944242 0.0000000
## B4-B2 -3.930 -4.4405758 -3.4194242 0.0000000
## B4-B3 -0.925 -1.4355758 -0.4144242 0.0000550
##
## $Tratamiento
## diff lwr upr p adj
## T2-T1 -0.030 -0.5405758 0.4805758 0.9986746
## T3-T1 -0.870 -1.3805758 -0.3594242 0.0001565
## T4-T1 -0.155 -0.6655758 0.3555758 0.8550311
## T3-T2 -0.840 -1.3505758 -0.3294242 0.0002729
## T4-T2 -0.125 -0.6355758 0.3855758 0.9174167
## T4-T3 0.715 0.2044242 1.2255758 0.0024391## Analysis of Variance Table
##
## Response: SPAD
## Df Sum Sq Mean Sq F value Pr(>F)
## Bloque 3 136.88 45.628 10.705 6.512e-06 ***
## Tratamiento 3 223.26 74.420 17.460 1.209e-08 ***
## Residuals 73 311.15 4.262
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = SPAD ~ Bloque + Tratamiento, data = datos_m2)
##
## $Bloque
## diff lwr upr p adj
## B2-B1 2.625 0.9084711 4.3415289 0.0007914
## B3-B1 -0.900 -2.6165289 0.8165289 0.5167384
## B4-B1 0.150 -1.5665289 1.8665289 0.9956888
## B3-B2 -3.525 -5.2415289 -1.8084711 0.0000047
## B4-B2 -2.475 -4.1915289 -0.7584711 0.0017098
## B4-B3 1.050 -0.6665289 2.7665289 0.3804079
##
## $Tratamiento
## diff lwr upr p adj
## T2-T1 4.725000e+00 3.0084711 6.4415289 0.0000000
## T3-T1 2.375000e+00 0.6584711 4.0915289 0.0028103
## T4-T1 2.375000e+00 0.6584711 4.0915289 0.0028103
## T3-T2 -2.350000e+00 -4.0665289 -0.6334711 0.0031751
## T4-T2 -2.350000e+00 -4.0665289 -0.6334711 0.0031751
## T4-T3 -7.105427e-15 -1.7165289 1.7165289 1.0000000## Analysis of Variance Table
##
## Response: Altura_cm
## Df Sum Sq Mean Sq F value Pr(>F)
## Bloque 3 4412.1 1470.70 9.9132 1.463e-05 ***
## Tratamiento 3 1362.9 454.29 3.0621 0.03339 *
## Residuals 73 10830.1 148.36
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = Altura_cm ~ Bloque + Tratamiento, data = datos_m2)
##
## $Bloque
## diff lwr upr p adj
## B2-B1 -6.8750 -17.0019934 3.251993 0.2888310
## B3-B1 10.8125 0.6855066 20.939493 0.0318015
## B4-B1 10.3750 0.2480066 20.501993 0.0425784
## B3-B2 17.6875 7.5605066 27.814493 0.0001039
## B4-B2 17.2500 7.1230066 27.376993 0.0001574
## B4-B3 -0.4375 -10.5644934 9.689493 0.9994709
##
## $Tratamiento
## diff lwr upr p adj
## T2-T1 4.2500 -5.8769934 14.376993 0.6885935
## T3-T1 10.7500 0.6230066 20.876993 0.0331767
## T4-T1 8.5625 -1.5644934 18.689493 0.1266428
## T3-T2 6.5000 -3.6269934 16.626993 0.3375996
## T4-T2 4.3125 -5.8144934 14.439493 0.6786825
## T4-T3 -2.1875 -12.3144934 7.939493 0.9412832## Analysis of Variance Table
##
## Response: Peso_F
## Df Sum Sq Mean Sq F value Pr(>F)
## Bloque 3 1.5280 0.50933 2.6934 0.0522757 .
## Tratamiento 3 3.7743 1.25811 6.6532 0.0004924 ***
## Residuals 73 13.8042 0.18910
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = Peso_F ~ Bloque + Tratamiento, data = datos_m2)
##
## $Bloque
## diff lwr upr p adj
## B2-B1 -0.27138605 -0.63293765 0.09016556 0.2074512
## B3-B1 0.10777594 -0.25377567 0.46932754 0.8615941
## B4-B1 -0.04589073 -0.40744233 0.31566088 0.9870853
## B3-B2 0.37916199 0.01761038 0.74071359 0.0361997
## B4-B2 0.22549532 -0.13605628 0.58704693 0.3630729
## B4-B3 -0.15366667 -0.51521827 0.20788494 0.6800064
##
## $Tratamiento
## diff lwr upr p adj
## T2-T1 -0.1851742 -0.5467258 0.17637744 0.5366580
## T3-T1 -0.5751269 -0.9366785 -0.21357525 0.0004527
## T4-T1 -0.4010467 -0.7625983 -0.03949507 0.0237852
## T3-T2 -0.3899527 -0.7515043 -0.02840109 0.0295029
## T4-T2 -0.2158725 -0.5774241 0.14567909 0.4020824
## T4-T3 0.1740802 -0.1874714 0.53563178 0.5873717## Analysis of Variance Table
##
## Response: area_F
## Df Sum Sq Mean Sq F value Pr(>F)
## Bloque 3 37008 12336.1 14.7526 1.328e-07 ***
## Tratamiento 3 16300 5433.2 6.4975 0.0005869 ***
## Residuals 73 61042 836.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = area_F ~ Bloque + Tratamiento, data = datos_m2)
##
## $Bloque
## diff lwr upr p adj
## B2-B1 53.785000 29.742518 77.8274819 0.0000007
## B3-B1 28.885167 4.842685 52.9276486 0.0120852
## B4-B1 4.423667 -19.618815 28.4661486 0.9624700
## B3-B2 -24.899833 -48.942315 -0.8573514 0.0395239
## B4-B2 -49.361333 -73.403815 -25.3188514 0.0000047
## B4-B3 -24.461500 -48.503982 -0.4190181 0.0446134
##
## $Tratamiento
## diff lwr upr p adj
## T2-T1 -10.34667 -34.3891486 13.695815 0.6714050
## T3-T1 -38.89650 -62.9389819 -14.854018 0.0003524
## T4-T1 -14.32167 -38.3641486 9.720815 0.4041717
## T3-T2 -28.54983 -52.5923152 -4.507351 0.0134263
## T4-T2 -3.97500 -28.0174819 20.067482 0.9722969
## T4-T3 24.57483 0.5323514 48.617315 0.0432458## Analysis of Variance Table
##
## Response: TRC
## Df Sum Sq Mean Sq F value Pr(>F)
## Bloque 3 0.00046016 1.5339e-04 6.990 0.0003376 ***
## Tratamiento 3 0.00006938 2.3128e-05 1.054 0.3740345
## Residuals 73 0.00160189 2.1944e-05
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = TRC ~ Bloque + Tratamiento, data = datos_m2)
##
## $Bloque
## diff lwr upr p adj
## B2-B1 -0.0047245991 -0.008619351 -0.0008298468 0.0110605
## B3-B1 0.0011541534 -0.002740599 0.0050489056 0.8636658
## B4-B1 0.0010017429 -0.002893009 0.0048964951 0.9057700
## B3-B2 0.0058787525 0.001984000 0.0097735047 0.0009451
## B4-B2 0.0057263420 0.001831590 0.0096210942 0.0013353
## B4-B3 -0.0001524105 -0.004047163 0.0037423417 0.9996064
##
## $Tratamiento
## diff lwr upr p adj
## T2-T1 0.0015186785 -0.002376074 0.005413431 0.7352731
## T3-T1 0.0023297078 -0.001565044 0.006224460 0.4004432
## T4-T1 0.0022293230 -0.001665429 0.006124075 0.4398371
## T3-T2 0.0008110293 -0.003083723 0.004705782 0.9469386
## T4-T2 0.0007106445 -0.003184108 0.004605397 0.9633452
## T4-T3 -0.0001003848 -0.003995137 0.003794367 0.9998873## New names:
## • `Altura de la planta (cm)` -> `Altura de la planta (cm)...5`
## • `Altura de la planta (cm)` -> `Altura de la planta (cm)...6`## Bloque Tratamiento Temperatura SPAD Altura.de.la.planta..cm....5
## 1 B1 T1 15.20000 46.7 245.00
## 2 B1 T1 15.10000 46.7 290.00
## 3 B1 T1 15.20000 46.7 198.00
## 4 B1 T1 15.16667 46.7 220.00
## 5 B1 T1 15.10000 46.7 238.25
## 6 B1 T2 15.20000 40.6 228.00
## 7 B1 T2 15.10000 40.6 240.00
## 8 B1 T2 15.20000 40.6 255.00
## 9 B1 T2 15.16667 40.6 180.00
## 10 B1 T2 15.10000 40.6 225.75
## 11 B1 T3 15.20000 48.5 255.00
## 12 B1 T3 15.10000 48.5 220.00
## 13 B1 T3 15.20000 48.5 260.00
## 14 B1 T3 15.16667 48.5 280.00
## 15 B1 T3 15.10000 48.5 253.75
## 16 B1 T4 15.20000 47.0 180.00
## 17 B1 T4 15.10000 47.0 200.00
## 18 B1 T4 15.20000 47.0 260.00
## 19 B1 T4 15.16667 47.0 220.00
## 20 B1 T4 15.10000 47.0 215.00
## 21 B2 T1 15.20000 46.9 185.00
## 22 B2 T1 15.10000 46.9 190.00
## 23 B2 T1 15.20000 46.9 200.00
## 24 B2 T1 15.16667 46.9 240.00
## 25 B2 T1 15.10000 46.9 203.75
## 26 B2 T2 15.20000 47.3 220.00
## 27 B2 T2 15.10000 47.3 192.00
## 28 B2 T2 15.20000 47.3 180.00
## 29 B2 T2 15.16667 47.3 210.00
## 30 B2 T2 15.10000 47.3 200.50
## 31 B2 T3 15.20000 49.9 200.00
## 32 B2 T3 15.10000 49.9 230.00
## 33 B2 T3 15.20000 49.9 270.00
## 34 B2 T3 15.16667 49.9 280.00
## 35 B2 T3 15.10000 49.9 240.00
## 36 B2 T4 15.20000 47.3 190.00
## 37 B2 T4 15.10000 47.3 270.00
## 38 B2 T4 15.20000 47.3 275.00
## 39 B2 T4 15.16667 47.3 225.00
## 40 B2 T4 15.10000 47.3 240.00
## 41 B3 T1 16.60000 49.2 280.00
## 42 B3 T1 16.80000 49.2 260.00
## 43 B3 T1 16.60000 49.2 228.00
## 44 B3 T1 16.90000 49.2 290.00
## 45 B3 T1 16.60000 49.2 264.50
## 46 B3 T2 17.70000 44.7 280.00
## 47 B3 T2 18.00000 44.7 260.00
## 48 B3 T2 17.50000 44.7 280.00
## 49 B3 T2 17.70000 44.7 262.00
## 50 B3 T2 17.80000 44.7 270.50
## 51 B3 T3 17.70000 44.4 220.00
## 52 B3 T3 17.90000 44.4 265.00
## 53 B3 T3 18.10000 44.4 280.00
## 54 B3 T3 17.50000 44.4 240.00
## 55 B3 T3 16.70000 44.4 251.25
## 56 B3 T4 16.50000 43.6 265.00
## 57 B3 T4 16.90000 43.6 275.00
## 58 B3 T4 17.30000 43.6 230.00
## 59 B3 T4 16.80000 43.6 290.00
## 60 B3 T4 17.10000 43.6 265.00
## 61 B4 T1 16.50000 44.3 210.00
## 62 B4 T1 17.00000 44.3 260.00
## 63 B4 T1 17.50000 44.3 235.00
## 64 B4 T1 16.10000 44.3 162.00
## 65 B4 T1 16.00000 44.3 216.75
## 66 B4 T2 16.70000 42.9 218.00
## 67 B4 T2 16.60000 42.9 265.00
## 68 B4 T2 16.80000 42.9 220.00
## 69 B4 T2 16.60000 42.9 300.00
## 70 B4 T2 16.40000 42.9 250.75
## 71 B4 T3 16.10000 44.6 200.00
## 72 B4 T3 16.00000 44.6 290.00
## 73 B4 T3 16.40000 44.6 280.00
## 74 B4 T3 15.70000 44.6 270.00
## 75 B4 T3 15.90000 44.6 260.00
## 76 B4 T4 15.10000 46.4 220.00
## 77 B4 T4 15.30000 46.4 270.00
## 78 B4 T4 15.00000 46.4 280.00
## 79 B4 T4 15.30000 46.4 210.00
## 80 B4 T4 16.00000 46.4 245.00
## Altura.de.la.planta..cm....6 Peso.fresco.de.la.hoja..g. AREA.FOLIAR
## 1 150.00 5.450000 228.3600
## 2 152.00 6.820000 271.9600
## 3 154.00 5.810000 232.9300
## 4 159.00 6.026667 244.4167
## 5 153.75 6.026667 244.4167
## 6 146.00 5.850000 227.1000
## 7 151.00 6.380000 229.2700
## 8 148.00 6.580000 244.4000
## 9 153.00 6.270000 233.5900
## 10 149.50 6.270000 233.5900
## 11 177.00 3.790000 163.8500
## 12 188.00 6.280000 249.5300
## 13 181.00 4.850000 198.7020
## 14 189.00 4.973333 204.0273
## 15 183.75 4.973333 204.0273
## 16 149.00 6.050000 260.9900
## 17 159.00 5.100000 228.8600
## 18 157.00 5.560000 261.0100
## 19 143.00 5.570000 250.2867
## 20 152.00 5.570000 250.2867
## 21 146.00 6.480000 262.3800
## 22 140.00 6.820000 293.7700
## 23 153.00 6.100000 272.9800
## 24 137.00 6.466667 276.3767
## 25 144.00 6.466667 276.3767
## 26 146.00 6.050000 108.2600
## 27 140.00 6.500000 109.5300
## 28 142.00 6.570000 280.4700
## 29 143.00 6.373333 166.0867
## 30 142.75 6.373333 166.0867
## 31 149.00 8.100000 320.9900
## 32 150.00 6.440000 275.1600
## 33 153.00 8.520000 329.7700
## 34 147.00 7.686667 308.6400
## 35 175.00 7.686667 308.6400
## 36 169.00 7.920000 310.0480
## 37 181.00 7.570000 313.0400
## 38 177.00 7.840000 324.5300
## 39 173.00 7.776667 315.8727
## 40 175.00 7.776667 315.8727
## 41 175.00 6.920000 326.7200
## 42 179.00 6.390000 328.1700
## 43 177.00 7.250000 335.9600
## 44 175.00 6.853333 330.2833
## 45 176.50 6.853333 330.2833
## 46 164.00 8.400000 387.2200
## 47 169.00 8.540000 363.5900
## 48 172.00 7.470000 357.2600
## 49 164.00 8.136667 369.3567
## 50 167.25 8.136667 369.3567
## 51 161.00 8.380000 367.5600
## 52 168.00 7.510000 343.0900
## 53 165.00 7.920000 334.0800
## 54 158.00 7.936667 348.2433
## 55 163.00 7.936667 348.2433
## 56 166.00 7.570000 321.4200
## 57 185.00 6.620000 318.2500
## 58 173.00 7.710000 323.6200
## 59 178.00 7.300000 321.0967
## 60 175.50 7.300000 321.0967
## 61 160.00 4.350000 218.4300
## 62 150.00 4.990000 225.3400
## 63 163.00 5.100000 237.1030
## 64 149.00 4.813333 226.9577
## 65 155.50 4.813333 226.9577
## 66 187.00 7.000000 333.3400
## 67 189.00 8.120000 359.7500
## 68 181.00 7.690000 335.5300
## 69 192.00 7.603333 342.8733
## 70 187.25 7.603333 342.8733
## 71 179.00 6.260000 292.9600
## 72 175.00 5.790000 278.7700
## 73 173.00 5.530000 271.8200
## 74 178.00 5.860000 281.1833
## 75 176.25 5.860000 281.1833
## 76 162.00 7.070000 342.3400
## 77 160.00 6.780000 325.2500
## 78 159.00 7.340000 325.8600
## 79 165.00 7.063333 331.1500
## 80 161.50 7.063333 331.1500
## TRC
## 1 0.035044494
## 2 0.046142886
## 3 0.017951031
## 4 0.023194525
## 5 0.031285188
## 6 0.031838501
## 7 0.033097078
## 8 0.038860805
## 9 0.011608495
## 10 0.029437986
## 11 0.026079558
## 12 0.011227542
## 13 0.025870329
## 14 0.028074471
## 15 0.023055242
## 16 0.013500753
## 17 0.016386655
## 18 0.036031130
## 19 0.030770208
## 20 0.024768393
## 21 0.016910657
## 22 0.021812975
## 23 0.019134246
## 24 0.040047000
## 25 0.024791461
## 26 0.029287209
## 27 0.022560925
## 28 0.016937842
## 29 0.027447350
## 30 0.024265671
## 31 0.021026504
## 32 0.030531715
## 33 0.040570288
## 34 0.046025501
## 35 0.022560925
## 36 0.008366097
## 37 0.028566066
## 38 0.031472955
## 39 0.018772058
## 40 0.022560925
## 41 0.033571688
## 42 0.026663988
## 43 0.018085421
## 44 0.036078211
## 45 0.028894312
## 46 0.038208798
## 47 0.030770208
## 48 0.034806795
## 49 0.033462720
## 50 0.034341600
## 51 0.022301656
## 52 0.032554703
## 53 0.037774581
## 54 0.029860278
## 55 0.030907018
## 56 0.033410146
## 57 0.028315377
## 58 0.020341980
## 59 0.034864098
## 60 0.029435056
## 61 0.019423837
## 62 0.039289024
## 63 0.026131094
## 64 0.005975002
## 65 0.023721349
## 66 0.010956175
## 67 0.024141629
## 68 0.013937894
## 69 0.031877650
## 70 0.020857986
## 71 0.007923683
## 72 0.036078211
## 73 0.034392715
## 74 0.029759886
## 75 0.027769871
## 76 0.021859372
## 77 0.037374867
## 78 0.040420386
## 79 0.017225861
## 80 0.029768076## Bloque Tratamiento Temperatura SPAD Altura_cm Altura_cm_resta Peso_F
## 1 B1 T1 15.20000 46.7 245.00 150.00 5.450000
## 2 B1 T1 15.10000 46.7 290.00 152.00 6.820000
## 3 B1 T1 15.20000 46.7 198.00 154.00 5.810000
## 4 B1 T1 15.16667 46.7 220.00 159.00 6.026667
## 5 B1 T1 15.10000 46.7 238.25 153.75 6.026667
## 6 B1 T2 15.20000 40.6 228.00 146.00 5.850000
## 7 B1 T2 15.10000 40.6 240.00 151.00 6.380000
## 8 B1 T2 15.20000 40.6 255.00 148.00 6.580000
## 9 B1 T2 15.16667 40.6 180.00 153.00 6.270000
## 10 B1 T2 15.10000 40.6 225.75 149.50 6.270000
## 11 B1 T3 15.20000 48.5 255.00 177.00 3.790000
## 12 B1 T3 15.10000 48.5 220.00 188.00 6.280000
## 13 B1 T3 15.20000 48.5 260.00 181.00 4.850000
## 14 B1 T3 15.16667 48.5 280.00 189.00 4.973333
## 15 B1 T3 15.10000 48.5 253.75 183.75 4.973333
## 16 B1 T4 15.20000 47.0 180.00 149.00 6.050000
## 17 B1 T4 15.10000 47.0 200.00 159.00 5.100000
## 18 B1 T4 15.20000 47.0 260.00 157.00 5.560000
## 19 B1 T4 15.16667 47.0 220.00 143.00 5.570000
## 20 B1 T4 15.10000 47.0 215.00 152.00 5.570000
## 21 B2 T1 15.20000 46.9 185.00 146.00 6.480000
## 22 B2 T1 15.10000 46.9 190.00 140.00 6.820000
## 23 B2 T1 15.20000 46.9 200.00 153.00 6.100000
## 24 B2 T1 15.16667 46.9 240.00 137.00 6.466667
## 25 B2 T1 15.10000 46.9 203.75 144.00 6.466667
## 26 B2 T2 15.20000 47.3 220.00 146.00 6.050000
## 27 B2 T2 15.10000 47.3 192.00 140.00 6.500000
## 28 B2 T2 15.20000 47.3 180.00 142.00 6.570000
## 29 B2 T2 15.16667 47.3 210.00 143.00 6.373333
## 30 B2 T2 15.10000 47.3 200.50 142.75 6.373333
## 31 B2 T3 15.20000 49.9 200.00 149.00 8.100000
## 32 B2 T3 15.10000 49.9 230.00 150.00 6.440000
## 33 B2 T3 15.20000 49.9 270.00 153.00 8.520000
## 34 B2 T3 15.16667 49.9 280.00 147.00 7.686667
## 35 B2 T3 15.10000 49.9 240.00 175.00 7.686667
## 36 B2 T4 15.20000 47.3 190.00 169.00 7.920000
## 37 B2 T4 15.10000 47.3 270.00 181.00 7.570000
## 38 B2 T4 15.20000 47.3 275.00 177.00 7.840000
## 39 B2 T4 15.16667 47.3 225.00 173.00 7.776667
## 40 B2 T4 15.10000 47.3 240.00 175.00 7.776667
## 41 B3 T1 16.60000 49.2 280.00 175.00 6.920000
## 42 B3 T1 16.80000 49.2 260.00 179.00 6.390000
## 43 B3 T1 16.60000 49.2 228.00 177.00 7.250000
## 44 B3 T1 16.90000 49.2 290.00 175.00 6.853333
## 45 B3 T1 16.60000 49.2 264.50 176.50 6.853333
## 46 B3 T2 17.70000 44.7 280.00 164.00 8.400000
## 47 B3 T2 18.00000 44.7 260.00 169.00 8.540000
## 48 B3 T2 17.50000 44.7 280.00 172.00 7.470000
## 49 B3 T2 17.70000 44.7 262.00 164.00 8.136667
## 50 B3 T2 17.80000 44.7 270.50 167.25 8.136667
## 51 B3 T3 17.70000 44.4 220.00 161.00 8.380000
## 52 B3 T3 17.90000 44.4 265.00 168.00 7.510000
## 53 B3 T3 18.10000 44.4 280.00 165.00 7.920000
## 54 B3 T3 17.50000 44.4 240.00 158.00 7.936667
## 55 B3 T3 16.70000 44.4 251.25 163.00 7.936667
## 56 B3 T4 16.50000 43.6 265.00 166.00 7.570000
## 57 B3 T4 16.90000 43.6 275.00 185.00 6.620000
## 58 B3 T4 17.30000 43.6 230.00 173.00 7.710000
## 59 B3 T4 16.80000 43.6 290.00 178.00 7.300000
## 60 B3 T4 17.10000 43.6 265.00 175.50 7.300000
## 61 B4 T1 16.50000 44.3 210.00 160.00 4.350000
## 62 B4 T1 17.00000 44.3 260.00 150.00 4.990000
## 63 B4 T1 17.50000 44.3 235.00 163.00 5.100000
## 64 B4 T1 16.10000 44.3 162.00 149.00 4.813333
## 65 B4 T1 16.00000 44.3 216.75 155.50 4.813333
## 66 B4 T2 16.70000 42.9 218.00 187.00 7.000000
## 67 B4 T2 16.60000 42.9 265.00 189.00 8.120000
## 68 B4 T2 16.80000 42.9 220.00 181.00 7.690000
## 69 B4 T2 16.60000 42.9 300.00 192.00 7.603333
## 70 B4 T2 16.40000 42.9 250.75 187.25 7.603333
## 71 B4 T3 16.10000 44.6 200.00 179.00 6.260000
## 72 B4 T3 16.00000 44.6 290.00 175.00 5.790000
## 73 B4 T3 16.40000 44.6 280.00 173.00 5.530000
## 74 B4 T3 15.70000 44.6 270.00 178.00 5.860000
## 75 B4 T3 15.90000 44.6 260.00 176.25 5.860000
## 76 B4 T4 15.10000 46.4 220.00 162.00 7.070000
## 77 B4 T4 15.30000 46.4 270.00 160.00 6.780000
## 78 B4 T4 15.00000 46.4 280.00 159.00 7.340000
## 79 B4 T4 15.30000 46.4 210.00 165.00 7.063333
## 80 B4 T4 16.00000 46.4 245.00 161.50 7.063333
## area_F TRC
## 1 228.3600 0.035044494
## 2 271.9600 0.046142886
## 3 232.9300 0.017951031
## 4 244.4167 0.023194525
## 5 244.4167 0.031285188
## 6 227.1000 0.031838501
## 7 229.2700 0.033097078
## 8 244.4000 0.038860805
## 9 233.5900 0.011608495
## 10 233.5900 0.029437986
## 11 163.8500 0.026079558
## 12 249.5300 0.011227542
## 13 198.7020 0.025870329
## 14 204.0273 0.028074471
## 15 204.0273 0.023055242
## 16 260.9900 0.013500753
## 17 228.8600 0.016386655
## 18 261.0100 0.036031130
## 19 250.2867 0.030770208
## 20 250.2867 0.024768393
## 21 262.3800 0.016910657
## 22 293.7700 0.021812975
## 23 272.9800 0.019134246
## 24 276.3767 0.040047000
## 25 276.3767 0.024791461
## 26 108.2600 0.029287209
## 27 109.5300 0.022560925
## 28 280.4700 0.016937842
## 29 166.0867 0.027447350
## 30 166.0867 0.024265671
## 31 320.9900 0.021026504
## 32 275.1600 0.030531715
## 33 329.7700 0.040570288
## 34 308.6400 0.046025501
## 35 308.6400 0.022560925
## 36 310.0480 0.008366097
## 37 313.0400 0.028566066
## 38 324.5300 0.031472955
## 39 315.8727 0.018772058
## 40 315.8727 0.022560925
## 41 326.7200 0.033571688
## 42 328.1700 0.026663988
## 43 335.9600 0.018085421
## 44 330.2833 0.036078211
## 45 330.2833 0.028894312
## 46 387.2200 0.038208798
## 47 363.5900 0.030770208
## 48 357.2600 0.034806795
## 49 369.3567 0.033462720
## 50 369.3567 0.034341600
## 51 367.5600 0.022301656
## 52 343.0900 0.032554703
## 53 334.0800 0.037774581
## 54 348.2433 0.029860278
## 55 348.2433 0.030907018
## 56 321.4200 0.033410146
## 57 318.2500 0.028315377
## 58 323.6200 0.020341980
## 59 321.0967 0.034864098
## 60 321.0967 0.029435056
## 61 218.4300 0.019423837
## 62 225.3400 0.039289024
## 63 237.1030 0.026131094
## 64 226.9577 0.005975002
## 65 226.9577 0.023721349
## 66 333.3400 0.010956175
## 67 359.7500 0.024141629
## 68 335.5300 0.013937894
## 69 342.8733 0.031877650
## 70 342.8733 0.020857986
## 71 292.9600 0.007923683
## 72 278.7700 0.036078211
## 73 271.8200 0.034392715
## 74 281.1833 0.029759886
## 75 281.1833 0.027769871
## 76 342.3400 0.021859372
## 77 325.2500 0.037374867
## 78 325.8600 0.040420386
## 79 331.1500 0.017225861
## 80 331.1500 0.029768076## [1] "Bloque" "Tratamiento" "Temperatura" "SPAD"
## [5] "Altura_cm" "Altura_cm_resta" "Peso_F" "area_F"
## [9] "TRC"
## Df Pillai approx F num Df den Df Pr(>F)
## Bloque 3 1.6253 13.7938 18 210 < 2.2e-16 ***
## Tratamiento 3 1.1177 6.9279 18 210 1.204e-13 ***
## Residuals 73
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Analysis of Variance Table
##
## Response: Temperatura
## Df Sum Sq Mean Sq F value Pr(>F)
## Bloque 3 59.153 19.7176 131.7650 < 2.2e-16 ***
## Tratamiento 3 2.833 0.9445 6.3114 0.0007246 ***
## Residuals 73 10.924 0.1496
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = Temperatura ~ Bloque + Tratamiento, data = datos_m3)
##
## $Bloque
## diff lwr upr p adj
## B2-B1 1.776357e-15 -0.3216273 0.3216273 1
## B3-B1 2.081667e+00 1.7600393 2.4032940 0
## B4-B1 9.966667e-01 0.6750393 1.3182940 0
## B3-B2 2.081667e+00 1.7600393 2.4032940 0
## B4-B2 9.966667e-01 0.6750393 1.3182940 0
## B4-B3 -1.085000e+00 -1.4066273 -0.7633727 0
##
## $Tratamiento
## diff lwr upr p adj
## T2-T1 0.260 -0.06162733 0.58162733 0.1547447
## T3-T1 0.070 -0.25162733 0.39162733 0.9400500
## T4-T1 -0.265 -0.58662733 0.05662733 0.1424488
## T3-T2 -0.190 -0.51162733 0.13162733 0.4116252
## T4-T2 -0.525 -0.84662733 -0.20337267 0.0003079
## T4-T3 -0.335 -0.65662733 -0.01337267 0.0379844## Analysis of Variance Table
##
## Response: SPAD
## Df Sum Sq Mean Sq F value Pr(>F)
## Bloque 3 116.91 38.970 12.811 8.178e-07 ***
## Tratamiento 3 115.98 38.661 12.710 9.014e-07 ***
## Residuals 73 222.05 3.042
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = SPAD ~ Bloque + Tratamiento, data = datos_m3)
##
## $Bloque
## diff lwr upr p adj
## B2-B1 2.150 0.6999183 3.6000817 0.0011974
## B3-B1 -0.225 -1.6750817 1.2250817 0.9769017
## B4-B1 -1.150 -2.6000817 0.3000817 0.1676385
## B3-B2 -2.375 -3.8250817 -0.9249183 0.0002924
## B4-B2 -3.300 -4.7500817 -1.8499183 0.0000004
## B4-B3 -0.925 -2.3750817 0.5250817 0.3430618
##
## $Tratamiento
## diff lwr upr p adj
## T2-T1 -2.900 -4.3500817 -1.4499183 0.0000082
## T3-T1 0.075 -1.3750817 1.5250817 0.9990941
## T4-T1 -0.700 -2.1500817 0.7500817 0.5853002
## T3-T2 2.975 1.5249183 4.4250817 0.0000048
## T4-T2 2.200 0.7499183 3.6500817 0.0008819
## T4-T3 -0.775 -2.2250817 0.6750817 0.5002329## Analysis of Variance Table
##
## Response: Altura_cm
## Df Sum Sq Mean Sq F value Pr(>F)
## Bloque 3 17960 5986.6 6.8536 0.0003932 ***
## Tratamiento 3 4909 1636.3 1.8733 0.1416144
## Residuals 73 63765 873.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = Altura_cm ~ Bloque + Tratamiento, data = datos_m3)
##
## $Bloque
## diff lwr upr p adj
## B2-B1 -11.1250 -35.697818 13.447818 0.6348638
## B3-B1 29.6250 5.052182 54.197818 0.0117080
## B4-B1 9.9375 -14.635318 34.510318 0.7127914
## B3-B2 40.7500 16.177182 65.322818 0.0002412
## B4-B2 21.0625 -3.510318 45.635318 0.1187088
## B4-B3 -19.6875 -44.260318 4.885318 0.1607032
##
## $Tratamiento
## diff lwr upr p adj
## T2-T1 6.0625 -18.510318 30.63532 0.9156887
## T3-T1 21.4375 -3.135318 46.01032 0.1089031
## T4-T1 10.4375 -14.135318 35.01032 0.6804281
## T3-T2 15.3750 -9.197818 39.94782 0.3602152
## T4-T2 4.3750 -20.197818 28.94782 0.9658013
## T4-T3 -11.0000 -35.572818 13.57282 0.6432155## Analysis of Variance Table
##
## Response: Peso_F
## Df Sum Sq Mean Sq F value Pr(>F)
## Bloque 3 39.694 13.2313 23.8576 7.232e-11 ***
## Tratamiento 3 12.953 4.3177 7.7853 0.0001403 ***
## Residuals 73 40.486 0.5546
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = Peso_F ~ Bloque + Tratamiento, data = datos_m3)
##
## $Bloque
## diff lwr upr p adj
## B2-B1 1.3658333 0.746657230 1.9850094 0.0000009
## B3-B1 1.8466667 1.227490563 2.4658428 0.0000000
## B4-B1 0.6250000 0.005823897 1.2441761 0.0470271
## B3-B2 0.4808333 -0.138342770 1.1000094 0.1823789
## B4-B2 -0.7408333 -1.360009437 -0.1216572 0.0125455
## B4-B3 -1.2216667 -1.840842770 -0.6024906 0.0000108
##
## $Tratamiento
## diff lwr upr p adj
## T2-T1 1.0558333 0.43665723 1.6750094 0.0001546
## T3-T1 0.5741667 -0.04500944 1.1933428 0.0788778
## T4-T1 0.8875000 0.26832390 1.5066761 0.0018400
## T3-T2 -0.4816667 -1.10084277 0.1375094 0.1811414
## T4-T2 -0.1683333 -0.78750944 0.4508428 0.8909180
## T4-T3 0.3133333 -0.30584277 0.9325094 0.5467326## Analysis of Variance Table
##
## Response: area_F
## Df Sum Sq Mean Sq F value Pr(>F)
## Bloque 3 128313 42771 21.7346 3.661e-10 ***
## Tratamiento 3 13448 4483 2.2779 0.08669 .
## Residuals 73 143654 1968
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = area_F ~ Bloque + Tratamiento, data = datos_m3)
##
## $Bloque
## diff lwr upr p adj
## B2-B1 33.66383 -3.218915 70.546582 0.0860940
## B3-B1 109.16483 72.282085 146.047582 0.0000000
## B4-B1 62.46092 25.578168 99.343665 0.0001729
## B3-B2 75.50100 38.618252 112.383748 0.0000050
## B4-B2 28.79708 -8.085665 65.679832 0.1785337
## B4-B3 -46.70392 -83.586665 -9.821168 0.0073168
##
## $Tratamiento
## diff lwr upr p adj
## T2-T1 8.468083 -28.414665 45.35083 0.9305965
## T3-T1 16.014917 -20.867832 52.89766 0.6651448
## T4-T1 35.092917 -1.789832 71.97567 0.0680280
## T3-T2 7.546833 -29.335915 44.42958 0.9494600
## T4-T2 26.624833 -10.257915 63.50758 0.2379223
## T4-T3 19.078000 -17.804748 55.96075 0.5282867## Analysis of Variance Table
##
## Response: TRC
## Df Sum Sq Mean Sq F value Pr(>F)
## Bloque 3 0.0003995 1.3317e-04 1.6997 0.1746
## Tratamiento 3 0.0000439 1.4623e-05 0.1866 0.9052
## Residuals 73 0.0057193 7.8346e-05## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = TRC ~ Bloque + Tratamiento, data = datos_m3)
##
## $Bloque
## diff lwr upr p adj
## B2-B1 -0.0010288448 -0.008388122 0.006330433 0.9829003
## B3-B1 0.0040211682 -0.003338109 0.011380446 0.4809433
## B4-B1 -0.0017670350 -0.009126313 0.005592243 0.9216305
## B3-B2 0.0050500131 -0.002309265 0.012409291 0.2797061
## B4-B2 -0.0007381902 -0.008097468 0.006621087 0.9935219
## B4-B3 -0.0057882032 -0.013147481 0.001571074 0.1733765
##
## $Tratamiento
## diff lwr upr p adj
## T2-T1 0.0002277464 -0.007131531 0.007587024 0.9998050
## T3-T1 0.0015098145 -0.005849463 0.008869092 0.9490876
## T4-T1 -0.0004968964 -0.007856174 0.006862381 0.9979948
## T3-T2 0.0012820680 -0.006077210 0.008641346 0.9678473
## T4-T2 -0.0007246429 -0.008083920 0.006634635 0.9938660
## T4-T3 -0.0020067109 -0.009365989 0.005352567 0.8900636## Bloques Tratamiento Vainas Flores
## 1 B1 T1 27 3
## 2 B1 T1 20 2
## 3 B1 T1 28 2
## 4 B2 T1 42 10
## 5 B2 T1 45 8
## 6 B2 T1 40 4
## 7 B3 T1 24 4
## 8 B3 T1 27 6
## 9 B3 T1 19 3
## 10 B4 T1 16 2
## 11 B4 T1 29 3
## 12 B4 T1 23 2
## 13 B1 T2 28 6
## 14 B1 T2 31 3
## 15 B1 T2 34 6
## 16 B2 T2 35 6
## 17 B2 T2 36 6
## 18 B2 T2 35 6
## 19 B3 T2 24 4
## 20 B3 T2 23 2
## 21 B3 T2 21 2
## 22 B4 T2 28 9
## 23 B4 T2 26 5
## 24 B4 T2 27 1
## 25 B1 T3 18 2
## 26 B1 T3 9 2
## 27 B1 T3 15 2
## 28 B2 T3 40 6
## 29 B2 T3 32 10
## 30 B2 T3 36 7
## 31 B3 T3 18 9
## 32 B3 T3 33 8
## 33 B3 T3 32 3
## 34 B4 T3 38 5
## 35 B4 T3 29 3
## 36 B4 T3 38 6
## 37 B1 C 27 4
## 38 B1 C 30 3
## 39 B1 C 36 7
## 40 B2 C 31 6
## 41 B2 C 45 5
## 42 B2 C 33 8
## 43 B3 C 30 7
## 44 B3 C 33 9
## 45 B3 C 26 9
## 46 B4 C 24 5
## 47 B4 C 33 9
## 48 B4 C 38 10
## Analysis of Variance Table
##
## Response: Vainas
## Df Sum Sq Mean Sq F value Pr(>F)
## Bloques 3 1147.83 382.61 9.4719 7.052e-05 ***
## Tratamiento 3 125.67 41.89 1.0370 0.3863
## Residuals 41 1656.17 40.39
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = Vainas ~ Bloques + Tratamiento, data = datos_m3_2)
##
## $Bloques
## diff lwr upr p adj
## B2-B1 12.2500000 5.302423 19.19758 0.0001560
## B3-B1 0.5833333 -6.364243 7.53091 0.9959280
## B4-B1 3.8333333 -3.114243 10.78091 0.4600887
## B3-B2 -11.6666667 -18.614243 -4.71909 0.0003148
## B4-B2 -8.4166667 -15.364243 -1.46909 0.0120931
## B4-B3 3.2500000 -3.697577 10.19758 0.5976987
##
## $Tratamiento
## diff lwr upr p adj
## T1-C -3.8333333 -10.780910 3.114243 0.4600887
## T2-C -3.1666667 -10.114243 3.780910 0.6176629
## T3-C -4.0000000 -10.947577 2.947577 0.4227071
## T2-T1 0.6666667 -6.280910 7.614243 0.9939591
## T3-T1 -0.1666667 -7.114243 6.780910 0.9999032
## T3-T2 -0.8333333 -7.780910 6.114243 0.9883749## Analysis of Variance Table
##
## Response: Flores
## Df Sum Sq Mean Sq F value Pr(>F)
## Bloques 3 68.250 22.7500 4.4154 0.008831 **
## Tratamiento 3 50.417 16.8056 3.2617 0.030940 *
## Residuals 41 211.250 5.1524
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = Flores ~ Bloques + Tratamiento, data = datos_m3_2)
##
## $Bloques
## diff lwr upr p adj
## B2-B1 3.333333 0.8520310 5.814636 0.0045818
## B3-B1 2.000000 -0.4813024 4.481302 0.1522291
## B4-B1 1.500000 -0.9813024 3.981302 0.3796787
## B3-B2 -1.333333 -3.8146357 1.147969 0.4830793
## B4-B2 -1.833333 -4.3146357 0.647969 0.2127399
## B4-B3 -0.500000 -2.9813024 1.981302 0.9488134
##
## $Tratamiento
## diff lwr upr p adj
## T1-C -2.7500000 -5.231302 -0.2686976 0.0247423
## T2-C -2.1666667 -4.647969 0.3146357 0.1059846
## T3-C -1.5833333 -4.064636 0.8979690 0.3324114
## T2-T1 0.5833333 -1.897969 3.0646357 0.9219635
## T3-T1 1.1666667 -1.314636 3.6479690 0.5937103
## T3-T2 0.5833333 -1.897969 3.0646357 0.9219635