Camilla Sanches
updated 2025-01-21
Medida A
##
## Call:
## glm(formula = data$A ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.4835503 0.0209727 23.056 < 2e-16 ***
## data$GRUPODDD -0.0130890 0.0269749 -0.485 0.628128
## data$GRUPODDE -0.0326210 0.0271497 -1.202 0.231191
## data$GRUPODDDE -0.0386155 0.0307287 -1.257 0.210571
## data$idade_n -0.0009180 0.0002630 -3.491 0.000611 ***
## data$GRUPODDD:data$idade_n 0.0002645 0.0003332 0.794 0.428332
## data$GRUPODDE:data$idade_n 0.0005374 0.0003567 1.506 0.133812
## data$GRUPODDDE:data$idade_n 0.0008843 0.0004322 2.046 0.042249 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.01829844)
##
## Null deviance: 3.5779 on 180 degrees of freedom
## Residual deviance: 3.0659 on 173 degrees of freedom
## AIC: 98.931
##
## Number of Fisher Scoring iterations: 4Medida B
##
## Call:
## glm(formula = data$B ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.161e-01 1.266e-02 24.964 <2e-16 ***
## data$GRUPODDD 7.666e-03 1.633e-02 0.469 0.639
## data$GRUPODDE 1.644e-03 1.656e-02 0.099 0.921
## data$GRUPODDDE -2.536e-03 1.832e-02 -0.138 0.890
## data$idade_n -2.548e-04 1.648e-04 -1.546 0.124
## data$GRUPODDD:data$idade_n -1.536e-04 2.068e-04 -0.743 0.459
## data$GRUPODDE:data$idade_n -1.582e-05 2.223e-04 -0.071 0.943
## data$GRUPODDDE:data$idade_n -7.669e-05 2.554e-04 -0.300 0.764
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.01413687)
##
## Null deviance: 2.7721 on 180 degrees of freedom
## Residual deviance: 2.4799 on 173 degrees of freedom
## AIC: 192.39
##
## Number of Fisher Scoring iterations: 4Medida C
##
## Call:
## glm(formula = data$C ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.305e-01 2.836e-03 46.020 < 2e-16 ***
## data$GRUPODDD -9.160e-04 3.652e-03 -0.251 0.80222
## data$GRUPODDE -3.099e-03 3.706e-03 -0.836 0.40415
## data$GRUPODDDE -1.877e-04 4.170e-03 -0.045 0.96414
## data$idade_n -1.160e-04 3.682e-05 -3.149 0.00193 **
## data$GRUPODDD:data$idade_n 2.082e-05 4.643e-05 0.448 0.65444
## data$GRUPODDE:data$idade_n 6.957e-05 5.006e-05 1.390 0.16640
## data$GRUPODDDE:data$idade_n 2.818e-05 5.867e-05 0.480 0.63163
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.00419061)
##
## Null deviance: 0.83567 on 180 degrees of freedom
## Residual deviance: 0.70967 on 173 degrees of freedom
## AIC: 284.73
##
## Number of Fisher Scoring iterations: 4Medida D
##
## Call:
## glm(formula = data$D ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 9.243e-02 1.935e-03 47.760 < 2e-16 ***
## data$GRUPODDD 5.677e-04 2.496e-03 0.227 0.820
## data$GRUPODDE -1.865e-03 2.526e-03 -0.738 0.461
## data$GRUPODDDE -2.254e-03 2.832e-03 -0.796 0.427
## data$idade_n -1.082e-04 2.489e-05 -4.348 2.34e-05 ***
## data$GRUPODDD:data$idade_n -8.158e-06 3.136e-05 -0.260 0.795
## data$GRUPODDE:data$idade_n 3.823e-05 3.372e-05 1.134 0.258
## data$GRUPODDDE:data$idade_n 5.120e-05 3.972e-05 1.289 0.199
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.003990896)
##
## Null deviance: 0.97127 on 180 degrees of freedom
## Residual deviance: 0.67388 on 173 degrees of freedom
## AIC: 408.83
##
## Number of Fisher Scoring iterations: 4Medida E
##
## Call:
## glm(formula = data$E ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6.411e-02 1.105e-03 58.041 < 2e-16 ***
## data$GRUPODDD 1.512e-03 1.431e-03 1.057 0.2920
## data$GRUPODDE -4.491e-06 1.448e-03 -0.003 0.9975
## data$GRUPODDDE -1.608e-03 1.620e-03 -0.993 0.3223
## data$idade_n -6.141e-05 1.431e-05 -4.292 2.94e-05 ***
## data$GRUPODDD:data$idade_n -1.524e-05 1.807e-05 -0.843 0.4002
## data$GRUPODDE:data$idade_n 1.253e-05 1.942e-05 0.645 0.5196
## data$GRUPODDDE:data$idade_n 4.022e-05 2.294e-05 1.753 0.0813 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.002650994)
##
## Null deviance: 0.68486 on 180 degrees of freedom
## Residual deviance: 0.45077 on 173 degrees of freedom
## AIC: 461.36
##
## Number of Fisher Scoring iterations: 4Medida F
##
## Call:
## glm(formula = data$F ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 9.378e-02 2.573e-04 364.432 < 2e-16 ***
## data$GRUPODDD 4.537e-05 3.312e-04 0.137 0.89120
## data$GRUPODDE -7.846e-05 3.365e-04 -0.233 0.81593
## data$GRUPODDDE -1.092e-04 3.777e-04 -0.289 0.77287
## data$idade_n -1.033e-05 3.424e-06 -3.015 0.00295 **
## data$GRUPODDD:data$idade_n -9.132e-07 4.304e-06 -0.212 0.83223
## data$GRUPODDE:data$idade_n 3.429e-06 4.629e-06 0.741 0.45978
## data$GRUPODDDE:data$idade_n 5.555e-06 5.438e-06 1.022 0.30841
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 6.238894e-05)
##
## Null deviance: 0.013324 on 180 degrees of freedom
## Residual deviance: 0.010768 on 173 degrees of freedom
## AIC: -370.25
##
## Number of Fisher Scoring iterations: 3Medida H
##
## Call:
## glm(formula = data$H ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6.397e-02 1.700e-03 37.638 < 2e-16 ***
## data$GRUPODDD 1.106e-03 2.196e-03 0.503 0.6153
## data$GRUPODDE -1.637e-03 2.222e-03 -0.737 0.4622
## data$GRUPODDDE -3.284e-03 2.490e-03 -1.319 0.1890
## data$idade_n -1.001e-04 2.157e-05 -4.642 6.8e-06 ***
## data$GRUPODDD:data$idade_n -1.670e-05 2.720e-05 -0.614 0.5400
## data$GRUPODDE:data$idade_n 4.134e-05 2.937e-05 1.407 0.1611
## data$GRUPODDDE:data$idade_n 7.657e-05 3.493e-05 2.192 0.0297 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.006659561)
##
## Null deviance: 1.7333 on 180 degrees of freedom
## Residual deviance: 1.1196 on 173 degrees of freedom
## AIC: 642.7
##
## Number of Fisher Scoring iterations: 4Medida J
##
## Call:
## glm(formula = data$J ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.912e-01 5.260e-03 36.345 < 2e-16 ***
## data$GRUPODDD -7.060e-04 6.765e-03 -0.104 0.9170
## data$GRUPODDE -5.541e-03 6.869e-03 -0.807 0.4210
## data$GRUPODDDE -1.081e-02 7.676e-03 -1.409 0.1607
## data$idade_n -3.149e-04 6.656e-05 -4.731 4.63e-06 ***
## data$GRUPODDD:data$idade_n -4.400e-06 8.376e-05 -0.053 0.9582
## data$GRUPODDE:data$idade_n 1.284e-04 9.055e-05 1.418 0.1580
## data$GRUPODDDE:data$idade_n 2.241e-04 1.072e-04 2.090 0.0381 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.007195504)
##
## Null deviance: 1.8225 on 180 degrees of freedom
## Residual deviance: 1.2281 on 173 degrees of freedom
## AIC: 266.35
##
## Number of Fisher Scoring iterations: 4Medida K
##
## Call:
## glm(formula = data$K ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.711e-01 5.363e-03 31.904 < 2e-16 ***
## data$GRUPODDD 3.504e-03 6.964e-03 0.503 0.615467
## data$GRUPODDE -2.579e-05 7.053e-03 -0.004 0.997086
## data$GRUPODDDE -2.233e-03 7.945e-03 -0.281 0.779040
## data$idade_n -2.486e-04 6.831e-05 -3.639 0.000362 ***
## data$GRUPODDD:data$idade_n -7.884e-06 8.674e-05 -0.091 0.927684
## data$GRUPODDE:data$idade_n 6.507e-05 9.328e-05 0.698 0.486331
## data$GRUPODDDE:data$idade_n 1.366e-04 1.111e-04 1.229 0.220753
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.009174269)
##
## Null deviance: 2.0685 on 180 degrees of freedom
## Residual deviance: 1.5811 on 173 degrees of freedom
## AIC: 341.01
##
## Number of Fisher Scoring iterations: 4Medida L
##
## Call:
## glm(formula = data$L ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.799e-01 3.391e-03 53.062 < 2e-16 ***
## data$GRUPODDD -2.094e-03 4.348e-03 -0.482 0.6306
## data$GRUPODDE -6.385e-03 4.415e-03 -1.446 0.1499
## data$GRUPODDDE -4.268e-03 4.949e-03 -0.862 0.3897
## data$idade_n -1.963e-04 4.373e-05 -4.490 1.3e-05 ***
## data$GRUPODDD:data$idade_n 4.191e-06 5.486e-05 0.076 0.9392
## data$GRUPODDE:data$idade_n 1.139e-04 5.930e-05 1.920 0.0565 .
## data$GRUPODDDE:data$idade_n 7.832e-05 6.939e-05 1.129 0.2606
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.003210056)
##
## Null deviance: 0.77454 on 180 degrees of freedom
## Residual deviance: 0.54256 on 173 degrees of freedom
## AIC: 128.5
##
## Number of Fisher Scoring iterations: 4Medida M
##
## Call:
## glm(formula = data$M ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.927e-01 1.501e-02 26.159 <2e-16 ***
## data$GRUPODDD 1.370e-02 1.958e-02 0.699 0.485
## data$GRUPODDE 1.408e-04 1.977e-02 0.007 0.994
## data$GRUPODDDE -3.367e-03 2.228e-02 -0.151 0.880
## data$idade_n -3.565e-04 1.948e-04 -1.830 0.069 .
## data$GRUPODDD:data$idade_n -3.633e-05 2.480e-04 -0.146 0.884
## data$GRUPODDE:data$idade_n 1.555e-04 2.665e-04 0.584 0.560
## data$GRUPODDDE:data$idade_n 2.789e-04 3.171e-04 0.879 0.380
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.0129919)
##
## Null deviance: 2.3968 on 180 degrees of freedom
## Residual deviance: 2.2155 on 173 degrees of freedom
## AIC: 85.172
##
## Number of Fisher Scoring iterations: 4Medida N
##
## Call:
## glm(formula = data$N ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.249e-01 2.330e-03 53.626 <2e-16 ***
## data$GRUPODDD 4.157e-03 3.019e-03 1.377 0.1703
## data$GRUPODDE 5.065e-03 3.075e-03 1.647 0.1013
## data$GRUPODDDE 1.769e-03 3.444e-03 0.514 0.6082
## data$idade_n -6.363e-05 3.062e-05 -2.078 0.0392 *
## data$GRUPODDD:data$idade_n -5.138e-05 3.860e-05 -1.331 0.1850
## data$GRUPODDE:data$idade_n -4.678e-05 4.153e-05 -1.127 0.2615
## data$GRUPODDDE:data$idade_n 8.084e-06 4.899e-05 0.165 0.8691
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.002984055)
##
## Null deviance: 0.66693 on 180 degrees of freedom
## Residual deviance: 0.50999 on 173 degrees of freedom
## AIC: 230.38
##
## Number of Fisher Scoring iterations: 4Medida O
##
## Call:
## glm(formula = data$O ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.131e-01 1.240e-03 91.240 <2e-16 ***
## data$GRUPODDD 1.842e-03 1.600e-03 1.152 0.251
## data$GRUPODDE 1.836e-03 1.630e-03 1.127 0.261
## data$GRUPODDDE -1.099e-03 1.821e-03 -0.604 0.547
## data$idade_n -2.161e-05 1.646e-05 -1.313 0.191
## data$GRUPODDD:data$idade_n -2.771e-05 2.069e-05 -1.339 0.182
## data$GRUPODDE:data$idade_n -8.502e-06 2.233e-05 -0.381 0.704
## data$GRUPODDDE:data$idade_n 2.927e-05 2.625e-05 1.115 0.267
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.001002407)
##
## Null deviance: 0.20211 on 180 degrees of freedom
## Residual deviance: 0.17339 on 173 degrees of freedom
## AIC: 65.576
##
## Number of Fisher Scoring iterations: 3Medida P
##
## Call:
## glm(formula = data$P ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.260e-01 1.585e-03 79.475 <2e-16 ***
## data$GRUPODDD 2.779e-03 2.051e-03 1.355 0.1772
## data$GRUPODDE -1.130e-03 2.074e-03 -0.545 0.5864
## data$GRUPODDDE -3.358e-03 2.322e-03 -1.446 0.1499
## data$idade_n -2.990e-05 2.101e-05 -1.423 0.1565
## data$GRUPODDD:data$idade_n -2.689e-05 2.649e-05 -1.015 0.3115
## data$GRUPODDE:data$idade_n 2.968e-05 2.849e-05 1.042 0.2991
## data$GRUPODDDE:data$idade_n 6.601e-05 3.361e-05 1.964 0.0512 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.001326525)
##
## Null deviance: 0.25421 on 180 degrees of freedom
## Residual deviance: 0.23145 on 173 degrees of freedom
## AIC: 79.676
##
## Number of Fisher Scoring iterations: 4Medida Q
##
## Call:
## glm(formula = data$Q ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.677e-01 3.379e-03 49.611 <2e-16 ***
## data$GRUPODDD -3.639e-03 4.346e-03 -0.837 0.4035
## data$GRUPODDE -5.988e-03 4.404e-03 -1.360 0.1757
## data$GRUPODDDE -8.200e-03 4.912e-03 -1.669 0.0969 .
## data$idade_n -8.500e-05 4.442e-05 -1.914 0.0573 .
## data$GRUPODDD:data$idade_n 7.748e-05 5.609e-05 1.381 0.1689
## data$GRUPODDE:data$idade_n 1.066e-04 6.034e-05 1.767 0.0791 .
## data$GRUPODDDE:data$idade_n 1.212e-04 7.070e-05 1.714 0.0884 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.003485836)
##
## Null deviance: 0.62534 on 180 degrees of freedom
## Residual deviance: 0.60595 on 173 degrees of freedom
## AIC: 156.86
##
## Number of Fisher Scoring iterations: 4Medida R
##
## Call:
## glm(formula = data$R ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.3309537 0.0183290 18.056 < 2e-16 ***
## data$GRUPODDD -0.0156320 0.0232124 -0.673 0.50157
## data$GRUPODDE -0.0267132 0.0236298 -1.130 0.25984
## data$GRUPODDDE -0.0424210 0.0262232 -1.618 0.10755
## data$idade_n -0.0007184 0.0002276 -3.157 0.00188 **
## data$GRUPODDD:data$idade_n 0.0000516 0.0002829 0.182 0.85546
## data$GRUPODDE:data$idade_n 0.0004069 0.0003077 1.322 0.18784
## data$GRUPODDDE:data$idade_n 0.0006718 0.0003651 1.840 0.06748 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.03059613)
##
## Null deviance: 6.5807 on 180 degrees of freedom
## Residual deviance: 5.5241 on 173 degrees of freedom
## AIC: 359.1
##
## Number of Fisher Scoring iterations: 4Medida S
##
## Call:
## glm(formula = data$S ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.530e-01 6.809e-03 22.465 < 2e-16 ***
## data$GRUPODDD 3.007e-03 8.780e-03 0.343 0.732390
## data$GRUPODDE -1.044e-02 8.810e-03 -1.185 0.237719
## data$GRUPODDDE -1.874e-03 1.012e-02 -0.185 0.853284
## data$idade_n -3.278e-04 8.462e-05 -3.874 0.000152 ***
## data$GRUPODDD:data$idade_n -7.164e-05 1.064e-04 -0.674 0.501517
## data$GRUPODDE:data$idade_n 1.731e-04 1.147e-04 1.509 0.133174
## data$GRUPODDDE:data$idade_n 1.463e-04 1.384e-04 1.057 0.292033
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.0197154)
##
## Null deviance: 4.7260 on 180 degrees of freedom
## Residual deviance: 3.2661 on 173 degrees of freedom
## AIC: 537.02
##
## Number of Fisher Scoring iterations: 4Medida W
##
## Call:
## glm(formula = data$W ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.007e-02 6.642e-04 45.277 < 2e-16 ***
## data$GRUPODDD 3.889e-04 8.590e-04 0.453 0.6513
## data$GRUPODDE -7.948e-04 8.673e-04 -0.916 0.3607
## data$GRUPODDDE -1.380e-03 9.714e-04 -1.420 0.1573
## data$idade_n -4.749e-05 8.423e-06 -5.638 6.88e-08 ***
## data$GRUPODDD:data$idade_n -2.996e-06 1.065e-05 -0.281 0.7788
## data$GRUPODDE:data$idade_n 1.842e-05 1.145e-05 1.608 0.1096
## data$GRUPODDDE:data$idade_n 3.087e-05 1.356e-05 2.276 0.0241 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.004607998)
##
## Null deviance: 1.32030 on 180 degrees of freedom
## Residual deviance: 0.77838 on 173 degrees of freedom
## AIC: 850.29
##
## Number of Fisher Scoring iterations: 4Medida X
##
## Call:
## glm(formula = data$X ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.423e-02 8.597e-04 51.446 < 2e-16 ***
## data$GRUPODDD -2.501e-04 1.106e-03 -0.226 0.82147
## data$GRUPODDE -1.151e-03 1.122e-03 -1.026 0.30640
## data$GRUPODDDE -2.561e-03 1.253e-03 -2.045 0.04242 *
## data$idade_n -6.318e-05 1.096e-05 -5.765 3.68e-08 ***
## data$GRUPODDD:data$idade_n 3.414e-06 1.381e-05 0.247 0.80511
## data$GRUPODDE:data$idade_n 2.470e-05 1.488e-05 1.661 0.09861 .
## data$GRUPODDDE:data$idade_n 4.969e-05 1.762e-05 2.821 0.00536 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.003520552)
##
## Null deviance: 0.98473 on 180 degrees of freedom
## Residual deviance: 0.60153 on 173 degrees of freedom
## AIC: 661.63
##
## Number of Fisher Scoring iterations: 4Medida Y
##
## Call:
## glm(formula = data$Y ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7.472e-02 2.399e-03 31.150 < 2e-16 ***
## data$GRUPODDD 3.518e-03 3.121e-03 1.127 0.26127
## data$GRUPODDE 2.516e-03 3.183e-03 0.790 0.43049
## data$GRUPODDDE -1.884e-04 3.565e-03 -0.053 0.95791
## data$idade_n -9.946e-05 3.068e-05 -3.242 0.00143 **
## data$GRUPODDD:data$idade_n -4.240e-05 3.882e-05 -1.092 0.27627
## data$GRUPODDE:data$idade_n 6.221e-06 4.213e-05 0.148 0.88278
## data$GRUPODDDE:data$idade_n 5.105e-05 4.998e-05 1.022 0.30840
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.00951824)
##
## Null deviance: 2.3158 on 180 degrees of freedom
## Residual deviance: 1.6323 on 173 degrees of freedom
## AIC: 643.33
##
## Number of Fisher Scoring iterations: 4Medida Z
##
## Call:
## glm(formula = data$N ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.249e-01 2.330e-03 53.626 <2e-16 ***
## data$GRUPODDD 4.157e-03 3.019e-03 1.377 0.1703
## data$GRUPODDE 5.065e-03 3.075e-03 1.647 0.1013
## data$GRUPODDDE 1.769e-03 3.444e-03 0.514 0.6082
## data$idade_n -6.363e-05 3.062e-05 -2.078 0.0392 *
## data$GRUPODDD:data$idade_n -5.138e-05 3.860e-05 -1.331 0.1850
## data$GRUPODDE:data$idade_n -4.678e-05 4.153e-05 -1.127 0.2615
## data$GRUPODDDE:data$idade_n 8.084e-06 4.899e-05 0.165 0.8691
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.002984055)
##
## Null deviance: 0.66693 on 180 degrees of freedom
## Residual deviance: 0.50999 on 173 degrees of freedom
## AIC: 230.38
##
## Number of Fisher Scoring iterations: 4Medida EE
##
## Call:
## glm(formula = data$EE ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.705e-01 1.195e-02 14.270 <2e-16 ***
## data$GRUPODDD 2.362e-02 1.596e-02 1.479 0.141
## data$GRUPODDE -8.647e-03 1.562e-02 -0.554 0.580
## data$GRUPODDDE 1.510e-03 1.757e-02 0.086 0.932
## data$idade_n -1.591e-04 1.549e-04 -1.028 0.306
## data$GRUPODDD:data$idade_n -2.068e-04 1.995e-04 -1.037 0.301
## data$GRUPODDE:data$idade_n 1.954e-04 2.127e-04 0.919 0.359
## data$GRUPODDDE:data$idade_n 5.314e-06 2.459e-04 0.022 0.983
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.04376096)
##
## Null deviance: 7.7052 on 180 degrees of freedom
## Residual deviance: 7.2057 on 173 degrees of freedom
## AIC: 596.24
##
## Number of Fisher Scoring iterations: 4Medida FF
##
## Call:
## glm(formula = data$FF ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.374e-01 7.412e-03 18.533 < 2e-16 ***
## data$GRUPODDD -1.742e-03 9.592e-03 -0.182 0.85611
## data$GRUPODDE -8.376e-03 9.654e-03 -0.868 0.38678
## data$GRUPODDDE -4.163e-03 1.077e-02 -0.387 0.69951
## data$idade_n -2.649e-04 9.284e-05 -2.854 0.00485 **
## data$GRUPODDD:data$idade_n 7.453e-05 1.184e-04 0.630 0.52969
## data$GRUPODDE:data$idade_n 1.741e-04 1.272e-04 1.369 0.17287
## data$GRUPODDDE:data$idade_n 6.908e-05 1.463e-04 0.472 0.63747
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.02839821)
##
## Null deviance: 5.3872 on 180 degrees of freedom
## Residual deviance: 4.8226 on 173 degrees of freedom
## AIC: 633.73
##
## Number of Fisher Scoring iterations: 4Medida GG
##
## Call:
## glm(formula = data$GG ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.493e-01 7.222e-03 20.678 < 2e-16 ***
## data$GRUPODDD 1.154e-02 9.428e-03 1.224 0.22255
## data$GRUPODDE -1.195e-02 9.301e-03 -1.284 0.20073
## data$GRUPODDDE -4.560e-03 1.051e-02 -0.434 0.66504
## data$idade_n -2.537e-04 9.121e-05 -2.782 0.00601 **
## data$GRUPODDD:data$idade_n -1.740e-04 1.151e-04 -1.511 0.13249
## data$GRUPODDE:data$idade_n 1.663e-04 1.230e-04 1.352 0.17824
## data$GRUPODDDE:data$idade_n 8.296e-05 1.444e-04 0.574 0.56646
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.02233701)
##
## Null deviance: 4.9063 on 180 degrees of freedom
## Residual deviance: 3.7558 on 173 degrees of freedom
## AIC: 561.29
##
## Number of Fisher Scoring iterations: 4Medida HH
##
## Call:
## glm(formula = data$HH ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 9.485e-02 3.814e-03 24.870 < 2e-16 ***
## data$GRUPODDD 3.849e-03 4.969e-03 0.775 0.440
## data$GRUPODDE -6.217e-03 4.950e-03 -1.256 0.211
## data$GRUPODDDE -1.186e-03 5.622e-03 -0.211 0.833
## data$idade_n -1.985e-04 4.749e-05 -4.180 4.63e-05 ***
## data$GRUPODDD:data$idade_n -3.743e-05 6.035e-05 -0.620 0.536
## data$GRUPODDE:data$idade_n 1.156e-04 6.473e-05 1.785 0.076 .
## data$GRUPODDDE:data$idade_n 6.363e-05 7.644e-05 0.833 0.406
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.0160108)
##
## Null deviance: 3.9809 on 180 degrees of freedom
## Residual deviance: 2.8256 on 173 degrees of freedom
## AIC: 678.76
##
## Number of Fisher Scoring iterations: 4Medida JJ
##
## Call:
## glm(formula = data$JJ ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.2110928 0.0091411 23.093 < 2e-16 ***
## data$GRUPODDD 0.0112338 0.0119236 0.942 0.34743
## data$GRUPODDE -0.0077692 0.0119669 -0.649 0.51705
## data$GRUPODDDE -0.0078129 0.0134579 -0.581 0.56230
## data$idade_n -0.0003826 0.0001150 -3.327 0.00107 **
## data$GRUPODDD:data$idade_n -0.0001314 0.0001459 -0.901 0.36886
## data$GRUPODDE:data$idade_n 0.0002066 0.0001577 1.310 0.19192
## data$GRUPODDDE:data$idade_n 0.0002334 0.0001868 1.249 0.21327
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.0180965)
##
## Null deviance: 4.0505 on 180 degrees of freedom
## Residual deviance: 3.0722 on 173 degrees of freedom
## AIC: 395.41
##
## Number of Fisher Scoring iterations: 4Medida KK
##
## Call:
## glm(formula = data$KK ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.681e-02 1.652e-03 34.388 < 2e-16 ***
## data$GRUPODDD 8.919e-04 2.138e-03 0.417 0.677
## data$GRUPODDE -1.312e-03 2.167e-03 -0.606 0.545
## data$GRUPODDDE -1.653e-03 2.430e-03 -0.681 0.497
## data$idade_n -9.019e-05 2.095e-05 -4.306 2.78e-05 ***
## data$GRUPODDD:data$idade_n -7.551e-06 2.649e-05 -0.285 0.776
## data$GRUPODDE:data$idade_n 4.277e-05 2.868e-05 1.491 0.138
## data$GRUPODDDE:data$idade_n 4.997e-05 3.383e-05 1.477 0.142
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.007994461)
##
## Null deviance: 1.9214 on 180 degrees of freedom
## Residual deviance: 1.3389 on 173 degrees of freedom
## AIC: 716.08
##
## Number of Fisher Scoring iterations: 4Medida LL
##
## Call:
## glm(formula = data$LL ~ data$GRUPO * data$idade_n, family = Gamma())
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7.734e-02 2.962e-03 26.113 < 2e-16 ***
## data$GRUPODDD 4.262e-03 3.875e-03 1.100 0.273
## data$GRUPODDE -1.940e-03 3.883e-03 -0.500 0.618
## data$GRUPODDDE -2.820e-03 4.349e-03 -0.648 0.518
## data$idade_n -1.577e-04 3.695e-05 -4.268 3.24e-05 ***
## data$GRUPODDD:data$idade_n -3.955e-05 4.709e-05 -0.840 0.402
## data$GRUPODDE:data$idade_n 6.278e-05 5.061e-05 1.241 0.216
## data$GRUPODDDE:data$idade_n 7.965e-05 5.972e-05 1.334 0.184
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.01445181)
##
## Null deviance: 3.8444 on 180 degrees of freedom
## Residual deviance: 2.6714 on 173 degrees of freedom
## AIC: 738.76
##
## Number of Fisher Scoring iterations: 4PCA
## [1] "Pasta" "DATA" "ID" "GRUPO" "SEXO"
## [6] "IDADE" "idade_real" "GERAÇÃO" "A" "B"
## [11] "C" "D" "E" "F" "H"
## [16] "J" "K" "L" "M" "N"
## [21] "O" "P" "Q" "R" "S"
## [26] "W" "X" "Y" "Z" "EE"
## [31] "FF" "GG" "HH" "JJ" "KK"
## [36] "LL" "idade_n"## eigenvalue variance.percent cumulative.variance.percent
## Dim.1 7.09 64.42 64.42
## Dim.2 1.18 10.77 75.19
## Dim.3 0.69 6.25 81.44
## Dim.4 0.64 5.85 87.29
## Dim.5 0.52 4.70 91.99
## Dim.6 0.33 2.96 94.95
## Dim.7 0.24 2.22 97.17
## Dim.8 0.12 1.08 98.26
## Dim.9 0.10 0.90 99.16
## Dim.10 0.05 0.49 99.65
## Dim.11 0.04 0.35 100.00## Dim.1 Dim.2 Dim.3 Dim.4 Dim.5
## A 5.5827154 4.117209e+00 0.044701808 76.00800646 12.4374613
## E 12.5696898 5.491342e-04 1.962259282 0.84297748 3.0905957
## H 13.1780818 6.808040e-01 0.366479987 0.06492187 0.6845694
## J 12.3574739 4.232401e-01 0.218181376 0.48416734 3.6856317
## L 11.1067499 4.372416e-01 0.217575754 0.29033053 0.5639054
## P 2.8372139 3.482637e+01 39.666500308 0.53252693 20.9892073
## Q 0.9627447 5.727643e+01 17.160418146 8.60866014 15.2936905
## R 6.2152337 6.965952e-01 40.331715250 9.70550308 40.3449729
## W 13.0225618 3.670671e-01 0.006049254 0.88218908 1.1072258
## X 11.3685587 4.578083e-01 0.003578023 1.29166352 0.2413833
## HH 10.7989764 7.166862e-01 0.022540813 1.28905356 1.5613567## Dim.1 Dim.2 Dim.3 Dim.4 Dim.5
## A 0.6289749 -0.220876940 0.017530220 0.69908375 0.25356147
## E 0.9437846 0.002550869 -0.116145672 -0.07362199 -0.12639750
## H 0.9663550 -0.089817294 -0.050193787 -0.02043126 -0.05948756
## J 0.9357836 -0.070817785 -0.038728767 0.05579526 -0.13802996
## L 0.8871644 -0.071979640 -0.038674979 -0.04320618 -0.05399089
## P 0.4483907 0.642396291 -0.522199893 -0.05851542 0.32939379
## Q 0.2611958 0.823828635 0.343469968 0.23527042 -0.28117295
## R 0.6636504 0.090852974 0.526560385 -0.24980928 0.45668012
## W 0.9606359 -0.065951040 0.006448753 -0.07531481 -0.07565463
## X 0.8975596 -0.073653052 -0.004959597 -0.09113270 -0.03532409
## HH 0.8747861 -0.092153838 0.012448288 -0.09104058 -0.08983973## Dim.1 Dim.2 Dim.3 Dim.4 Dim.5
## 1 5.71507582 -1.479460e+00 0.084383547 0.271025991 -0.599508623
## 2 5.56236916 1.211674e+00 -0.433187166 -0.267499576 -0.824123411
## 3 -1.53751400 -2.262258e-02 1.069456428 0.125292874 1.533043613
## 4 0.16896995 -7.306607e-01 -0.183364128 -0.075325448 0.692979658
## 5 1.34922086 1.520192e+00 0.289456170 0.812302609 0.418488789
## 6 -1.70666127 8.615977e-01 -0.912416954 -0.326212085 -0.910107266
## 7 0.68484031 -5.976907e-01 -0.127353778 0.623308789 0.290218509
## 8 0.40641209 1.375691e+00 0.799781277 -0.224448673 0.731749751
## 9 7.08850861 5.305208e-01 0.788438135 -1.187224376 0.772916996
## 10 -0.97612086 5.915789e-01 0.199720762 0.006700256 -0.160496344
## 11 6.99452258 -7.131788e-01 -0.381541118 1.707461066 -0.485271128
## 12 -0.95952765 6.456221e-01 -1.085014485 0.002814422 -0.914079986
## 13 -0.36137201 3.794916e-01 -0.857468223 0.323283995 -0.291756335
## 14 -0.70081217 -2.372488e-01 0.810759794 0.336339374 -0.329295089
## 15 5.16798250 -2.333073e-01 1.113594823 1.247210980 -1.669367051
## 16 5.79184305 -2.653490e-01 0.228113407 0.245006822 0.422699524
## 17 6.35234475 -1.028296e+00 -1.004344482 0.333481048 -0.267819651
## 18 -1.34338461 1.238001e+00 -0.357003798 0.691849925 -0.709046544
## 19 -1.53631154 -1.946564e+00 -1.114314630 -0.324586231 -0.273596927
## 20 -1.08651212 -2.627240e-01 0.940686912 2.717344888 0.426332949
## 21 -0.08002444 -2.130026e-01 -0.108702676 1.166206787 -0.159631953
## 22 -1.12144175 -9.270312e-01 -0.179605197 -0.171608182 0.409933924
## 23 -0.44048686 5.403772e-01 -0.056876991 -0.124916289 0.414743642
## 24 -1.50303272 -8.689530e-01 -0.230313754 0.120196577 1.308243320
## 25 -2.56253168 -4.888390e-01 -1.430040779 -0.257365239 -0.702876915
## 26 -1.71738226 8.984112e-01 -1.145560216 -0.597396859 -0.496107101
## 27 0.20931762 1.229046e+00 -0.137934934 0.259974187 0.042840315
## 28 -1.99014417 1.612605e+00 0.426261584 -0.571704762 -0.465317908
## 29 -2.38828417 -1.855743e-01 0.544511513 -0.117815831 -0.847265503
## 30 -1.88561050 9.518269e-01 0.118743471 -0.381322575 -0.375246748
## 31 -1.61965430 -1.908513e-01 -0.453584838 -1.229917380 -0.575900624
## 32 -2.60017387 1.738335e-01 0.348510999 -0.828528444 0.562911340
## 33 -0.32816260 -2.170643e-01 0.069582323 -0.428965885 1.073020558
## 34 -4.85342794 1.909193e-01 0.461644670 -0.139897050 -0.835619459
## 35 -1.57369668 -7.158861e-02 -0.342809275 -0.676728780 0.444325126
## 36 -0.93658395 -1.236747e+00 -0.259156930 -1.001014890 -0.228579697
## 37 0.80573876 -8.648664e-01 -0.839413751 -0.131742737 0.293217835
## 38 -1.45565190 1.642957e+00 -1.101605867 1.303017689 0.148046876
## 39 -0.96257179 -6.765362e-01 0.903403493 -1.010385873 0.483700398
## 40 5.56895858 -1.260508e+00 1.800394410 -1.115572769 1.613633772
## 41 0.97810002 -5.930088e-02 -1.242017520 0.693832837 -0.660224480
## 42 -0.90425756 -3.030130e-01 1.429838520 0.472847485 0.828105570
## 43 -0.37130557 7.349495e-01 0.713158644 1.331232301 -0.235703895
## 44 3.92043952 7.716975e-01 0.232853434 -0.742195974 0.535852508
## 45 6.91015880 1.392838e+00 0.924858759 -1.804729652 0.936093669
## 46 -1.09040962 -8.974665e-01 -0.159020354 0.149885413 -0.293988968
## 47 0.27605330 8.215841e-01 0.087258386 -0.414406168 -0.374660069
## 48 -1.19069506 2.477780e-01 -1.594621961 -0.095832658 -0.497260894
## 49 -0.53535230 7.302270e-01 0.080442137 1.538602356 1.221748402
## 50 0.27342688 6.940702e-01 -1.535462411 -0.172123032 -0.022557756
## 51 -0.78582939 -1.517035e+00 -0.069852781 -0.913088108 0.519108052
## 52 7.46309562 1.477226e+00 -1.553264575 -0.560066441 -0.194304451
## 53 -0.62029710 1.101726e+00 -0.461274726 -0.730131645 -0.385951057
## 54 1.87592982 1.029503e+00 -0.213318528 -0.050631390 0.529583468
## 55 5.73999685 1.700332e+00 -0.527448077 0.362319386 -0.364210286
## 56 7.65960937 -2.272300e+00 -0.339419588 0.141479237 0.553487534
## 57 -0.59913043 3.693396e-01 -0.230146001 -0.820971915 -0.309844008
## 58 -0.89123850 -3.220657e+00 -1.656936477 -1.374439897 1.768331611
## 59 4.68281216 -4.377039e-01 -0.081991992 -0.875872470 0.470371732
## 60 7.85329852 -8.121566e-01 -0.441297317 0.352489800 0.001878537
## 61 -1.61994733 -4.530470e-01 0.018360949 -1.257155436 0.543087395
## 62 -0.89128933 -6.634873e-01 -1.024747248 -0.481008087 -0.150563752
## 63 -1.39543955 6.265312e-01 1.009981551 -0.415651193 -0.678142755
## 64 3.43223570 7.767064e-02 1.732624662 -0.532178859 1.052407965
## 65 -0.61751745 -1.489807e+00 1.094859528 -0.156408163 0.297469970
## 66 5.10569165 -4.943753e-01 0.545733671 -0.455175203 -0.325924362
## 67 3.16178249 -8.972675e-01 -1.404509614 0.038336136 -0.771126561
## 68 8.94247973 2.566101e-01 -0.702769117 1.005430960 -1.180282138
## 69 5.21103326 -1.046636e+00 0.416882601 0.944296023 -0.867801252
## 70 1.86822061 -8.800302e-01 -0.243423751 0.372774567 0.602144406
## 71 4.07548731 -1.208612e+00 0.166380128 0.239943676 -0.851281741
## 72 7.58426019 -1.763989e-01 0.231541901 -1.463200975 0.029874764
## 73 -1.59422372 -1.127710e+00 0.928804024 -0.566612678 -0.428910775
## 74 -1.75062477 -2.999600e+00 -0.321906643 2.828337670 0.785046931
## 75 -1.25958067 -1.520602e-01 0.044761754 -0.769157014 -0.269998630
## 76 -1.02216095 -2.240556e-01 -0.310936735 -0.084288587 -1.214006155
## 77 -2.41749949 -5.394207e-01 -0.923860573 0.334448359 0.116812893
## 78 -1.62655684 -1.864027e+00 4.949736669 0.647157093 -2.451430581
## 79 -1.88616951 2.153400e+00 -2.333962342 0.165616870 0.368077418
## 80 -1.49695253 -2.437244e-01 0.744781016 -0.704449384 0.438360005
## 81 -1.82649573 -9.507136e-01 -1.072957819 0.318906952 -0.975448984
## 82 -2.65602722 -5.019774e-01 0.360916335 0.156739927 -0.093462069
## 83 -1.22888980 4.259888e-01 -0.915711481 0.595380583 -0.497402314
## 84 -1.99571130 -1.310715e+00 0.830353448 -0.301934465 -0.367681984
## 85 -1.30332969 1.488962e+00 -0.824772104 -0.675179298 0.119254663
## 86 0.73952432 6.254247e-01 0.422526406 1.254022799 0.478551372
## 87 -1.64331405 2.352385e-01 0.377533481 -0.713537632 -0.367346542
## 88 -1.64765437 7.402609e-01 0.494583026 -0.171541195 0.118706799
## 89 -0.54557727 -1.767689e-01 0.534118716 0.038411256 0.359539785
## 90 0.90858333 6.134369e+00 0.494150236 0.357465060 0.531518737
## 91 -0.46733907 -2.051317e-01 -0.227221364 -0.328332972 0.128727297
## 92 -1.19727411 -1.894229e-01 0.828780344 -0.214289660 0.004156514
## 93 -1.01109765 1.637456e+00 0.449566027 0.860583131 1.065170581
## 94 -2.06359238 -8.596258e-01 0.503938481 -0.552322390 -0.015892553
## 95 -1.33467772 -1.491304e+00 0.218657413 -0.089385331 0.148805469
## 96 -4.67392793 6.903362e-01 1.419405508 0.071901333 -0.289901046
## 97 -3.66946121 -3.528618e-01 0.497995817 0.093288341 0.906779510
## 98 -0.81748216 -2.641666e-01 0.087150222 -1.240176583 -0.024181506
## 99 -1.99852325 -3.564372e-05 -0.186784845 -0.630007028 0.535718427
## 100 -3.46989190 -1.480457e+00 0.385605757 0.990447847 -0.966354780
## 101 -0.58797936 4.740624e-01 -0.435716967 -0.206398890 0.477471309
## 102 -1.14958946 -1.087840e+00 -0.271915825 -0.151080857 -0.218353870
## 103 -1.11735856 -1.421344e+00 0.132456668 0.077205276 0.950828902
## 104 -1.20482424 -1.811684e+00 -0.375355944 -0.607744562 0.205764329
## 105 0.61539193 -1.063071e+00 -0.516194427 -0.583759878 -0.642886323
## 106 0.20581706 -1.599590e-01 -0.631559623 0.360108954 -1.307451556
## 107 -0.81354168 1.261706e-01 1.056325202 -0.653829699 -0.043634073
## 108 -0.89862571 1.463015e+00 -0.140481630 -1.164908105 0.375418545
## 109 -1.54285908 -1.317384e+00 1.143051984 0.454853546 -0.583591731
## 110 5.28962166 -3.874523e-01 -0.384705889 -0.112454471 -0.173311688
## 111 -0.55002167 5.886587e-01 1.280433799 1.120921245 -0.217276920
## 112 -0.98652987 1.281627e-01 -0.252830833 -0.655089688 -0.989370866
## 113 -0.71678824 5.614805e-01 0.280820157 -0.744411142 0.944841704
## 114 -1.10486441 -1.320926e-01 -0.151844861 0.628384802 -0.800442781
## 115 -1.69050327 2.541950e-01 0.855487870 0.356996540 -0.196756444
## 116 0.16615527 5.656099e-01 0.829105656 0.272798961 0.726952412
## 117 -0.37944358 3.570195e+00 0.315523057 0.171785685 -1.064279036
## 118 -2.38870918 2.361507e+00 0.007025831 0.001894353 0.613639483
## 119 -1.11744290 -1.605176e+00 -0.815746835 0.131403036 0.790432600
## 120 -1.47675166 -3.391932e-01 -0.471541929 0.020881067 0.258407116
## 121 -1.56564577 -1.338375e+00 -1.804771885 0.270205552 -1.986801373
## 122 0.46345150 1.476310e+00 0.195445379 -0.384031318 0.140337255
## 123 -2.26294955 -4.136072e-01 -1.160887432 -0.320189298 2.024671538
## 124 0.05092713 -1.475747e-01 -0.222200762 0.756579074 -0.164492332
## 125 -0.82704039 1.284389e+00 0.851730015 0.174006321 -0.267376427
## 126 -1.40222932 -1.170660e-01 -0.024963980 0.087559005 0.503542719
## 127 -0.38895462 1.308678e+00 -0.506530925 -1.209006989 0.358475512
## 128 -0.48718820 1.601609e+00 0.713654872 0.148952123 0.533860115
## 129 -0.63665479 7.300760e-02 0.555987424 -0.092426294 -0.224317728
## 130 -1.31095086 2.892168e-01 -0.401073845 0.297461807 -0.632598132
## 131 -1.18636859 -3.193191e-01 0.697099831 -0.839290042 0.312839388
## 132 -1.64912640 1.741386e-01 -0.330033126 1.043963975 -0.223835615
## 133 5.92269709 2.464168e-01 0.729811326 -2.056091984 -0.292310076
## 134 2.77079254 -6.097943e-01 0.402761627 -0.345391465 -1.333105150
## 135 1.06270693 -5.144573e-01 -0.088891740 -1.090238163 -0.408105615
## 136 -0.74972728 -3.884393e-01 0.205062011 0.234761623 -1.114368935
## 137 -0.93841299 5.489082e-01 -0.227327127 -1.101399662 0.068917881
## 138 0.40946415 1.829781e-01 0.219701401 0.538887912 0.264564141
## 139 -0.46834727 9.181138e-01 0.448525772 -0.558336120 -0.409328749
## 140 -1.75292899 -1.916840e+00 -1.451131430 -0.669902408 1.278186888
## 141 -1.66694417 -1.157220e-01 -0.759224229 0.427735266 -0.816360641
## 142 -1.19940922 -9.128712e-02 0.393136516 -0.132215471 -0.264190180
## 143 2.18071334 5.934965e-02 -0.715363116 2.197552489 0.945746745
## 144 7.71052839 1.855242e-01 0.084776164 0.760204647 0.044901170
## 145 -0.28796839 -1.270787e+00 -0.421008948 1.134961594 1.358450827
## 146 -0.81367997 -6.575297e-01 -0.071879108 0.300243527 -0.352510216
## 147 1.95671686 -9.145573e-01 1.033252402 0.672668113 0.514266803
## 148 -0.59662378 -6.235859e-01 -0.521072116 0.053907189 -0.263860684
## 149 0.97162867 -5.576226e-02 -0.506087872 0.054656646 0.182230151
## 150 -0.56601826 -1.523509e-01 0.647927239 0.085067183 -0.373885165
## 151 -1.40368412 -4.497514e-01 -0.415625396 -0.433236920 -0.440048404
## 152 -1.20424807 -7.314277e-01 -0.536795954 -1.258464501 -0.294820217
## 153 -0.44114926 4.061627e-01 -0.600865328 -1.125625169 -0.875205405
## 154 0.37374980 -1.814342e-01 -0.254829608 2.123269568 1.147676699
## 155 -0.09211062 1.127849e+00 0.544316413 0.066488812 0.823463450
## 156 -2.86472343 -5.516316e-01 -0.525645851 0.163551914 -0.554342503
## 157 -1.56287380 2.312119e-02 0.069086523 -0.294461214 -0.754187746
## 158 -1.15421521 1.025044e+00 -0.628460874 -0.343040030 1.136634725
## 159 -0.88099010 4.494408e-01 1.083942157 0.158638212 -0.732309732
## 160 -1.31372687 9.321945e-01 0.503838915 -0.600860997 -0.678408196
## 161 -0.41717712 -5.260369e-01 -0.769364860 0.297895168 0.481388998
## 162 -0.96744809 -7.144434e-01 0.452227824 -0.762057320 0.466055056
## 163 -1.52106217 1.153291e+00 0.006012738 0.457850297 0.844385156
## 164 -1.48577616 7.954879e-01 -1.238956236 0.737680870 -0.042422057
## 165 -0.96950796 1.114695e+00 0.381502182 1.104426782 0.982303415
## 166 -0.54438177 2.485565e-01 -0.337376412 0.605128998 -0.930356562
## 167 -0.12453914 1.281255e+00 -1.526063280 1.197800692 -0.429122474
## 168 -0.34929062 3.961672e-01 -0.862315332 0.464914468 0.095589655
## 169 0.76386473 8.604134e-01 1.417809524 0.207379893 -0.226264182
## 170 -2.15455014 3.497034e-01 -0.684804664 0.453458904 0.361328742
## 171 -1.13661530 -8.346089e-01 -0.243241649 1.681944546 1.515612333
## 172 -0.85293413 1.616801e+00 -0.094346969 0.084127955 0.636592511
## 173 -2.49910174 -1.767259e-01 -0.369745961 -0.054542378 -0.812303732
## 174 -1.67823412 -1.025360e-01 -0.276686803 -2.732965407 -0.296697748
## 175 -0.39259125 3.163783e-01 1.053836540 1.256076939 1.140613550
## 176 -2.27468335 -5.434279e-02 0.513427422 0.870068449 -0.716353892
## 177 -0.87408670 -6.521544e-01 0.788675656 -0.585094653 0.383789860
## 178 -2.80785584 -1.074386e+00 0.854774924 -0.366799042 0.237957604
## 179 -1.62316079 1.500719e-01 0.359583169 -0.329199960 -0.921330818
## 180 -1.72411729 -1.361137e-01 0.448261762 0.719497387 -0.098320010
## 181 -1.30089206 -8.066133e-01 0.554736275 -0.024597532 0.208198423## # A tibble: 11 × 3
## var Dim.1 Dim.2
## <chr> <dbl> <dbl>
## 1 H 13.2 0.681
## 2 W 13.0 0.367
## 3 E 12.6 0.000549
## 4 J 12.4 0.423
## 5 X 11.4 0.458
## 6 L 11.1 0.437
## 7 HH 10.8 0.717
## 8 R 6.22 0.697
## 9 A 5.58 4.12
## 10 P 2.84 34.8
## 11 Q 0.963 57.3
## ------------------------------------------------------------------------
## Legenda:
## FATOR 1: Grupos
## FATOR 2: Idade
## ------------------------------------------------------------------------
##
##
## Quadro da analise de variancia
## ------------------------------------------------------------------------
## GL SQ QM Fc Pr>Fc
## Grupos 3 41.17 2 2.908 0.036137
## Idade 1 369.37 4 78.273 0.000000
## Grupos*Idade 3 55.71 3 3.935 0.009516
## Residuo 173 816.38 5
## Total 180 1282.63 1
## ------------------------------------------------------------------------
## CV = 3.929651e+16 %
##
## ------------------------------------------------------------------------
## Teste de normalidade dos residuos (Shapiro-Wilk)
## valor-p: 2.810379e-06
## ATENCAO: a 5% de significancia, os residuos nao podem ser considerados normais!
## ------------------------------------------------------------------------
##
##
##
## Interacao significativa: desdobrando a interacao
## ------------------------------------------------------------------------
##
## Desdobrando Grupos dentro de cada nivel de Idade
## ------------------------------------------------------------------------
## ------------------------------------------------------------------------
## Quadro da analise de variancia
## ------------------------------------------------------------------------
## GL SQ QM Fc Pr.Fc
## Idade 1 369.36700 369.36700 78.2729 0
## Grupos:Idade PUBERE 3 4.76794 1.58931 0.3368 0.7987
## Grupos:Idade ADULTO 3 61.71253 20.57084 4.3592 0.0055
## Residuo 173 816.38043 4.71896
## Total 180 1282.62521 7.12570
## ------------------------------------------------------------------------
##
##
##
## Grupos dentro do nivel PUBERE de Idade
##
## De acordo com o teste F, as medias desse fator sao estatisticamente iguais.
## ------------------------------------------------------------------------
## Niveis Medias
## 1 1 -1.4289258
## 2 2 -1.5422856
## 3 3 -1.1444552
## 4 4 -0.9955539
## ------------------------------------------------------------------------
##
##
## Grupos dentro do nivel ADULTO de Idade
## ------------------------------------------------------------------------
## Teste de Tukey
## ------------------------------------------------------------------------
## Grupos Tratamentos Medias
## a 2 2.356111
## a 1 2.296475
## ab 3 0.7747326
## b 4 0.01271427
## ------------------------------------------------------------------------
##
##
##
## Desdobrando Idade dentro de cada nivel de Grupos
## ------------------------------------------------------------------------
## ------------------------------------------------------------------------
## Quadro da analise de variancia
## ------------------------------------------------------------------------
## GL SQ QM Fc Pr.Fc
## Grupos 3 41.17127 13.72376 2.9082 0.0361
## Idade:Grupos CONT 1 130.38593 130.38593 27.6302 0
## Idade:Grupos DDD 1 246.43331 246.43331 52.2219 0
## Idade:Grupos DDE 1 41.94432 41.94432 8.8885 0.0033
## Idade:Grupos DDDE 1 6.30996 6.30996 1.3371 0.2491
## Residuo 173 816.38043 4.71896
## Total 180 1282.62521 7.12570
## ------------------------------------------------------------------------
##
##
##
## Idade dentro do nivel CONT de Grupos
## ------------------------------------------------------------------------
## Teste de Tukey
## ------------------------------------------------------------------------
## Grupos Tratamentos Medias
## a 2 2.296475
## b 1 -1.428926
## ------------------------------------------------------------------------
##
##
## Idade dentro do nivel DDD de Grupos
## ------------------------------------------------------------------------
## Teste de Tukey
## ------------------------------------------------------------------------
## Grupos Tratamentos Medias
## a 2 2.356111
## b 1 -1.542286
## ------------------------------------------------------------------------
##
##
## Idade dentro do nivel DDE de Grupos
## ------------------------------------------------------------------------
## Teste de Tukey
## ------------------------------------------------------------------------
## Grupos Tratamentos Medias
## a 2 0.7747326
## b 1 -1.144455
## ------------------------------------------------------------------------
##
##
## Idade dentro do nivel DDDE de Grupos
##
## De acordo com o teste F, as medias desse fator sao estatisticamente iguais.
## ------------------------------------------------------------------------
## Niveis Medias
## 1 1 -0.99555389
## 2 2 0.01271427
## ------------------------------------------------------------------------
## ------------------------------------------------------------------------
## Legenda:
## FATOR 1: Grupos
## FATOR 2: Idade
## ------------------------------------------------------------------------
##
##
## Quadro da analise de variancia
## ------------------------------------------------------------------------
## GL SQ QM Fc Pr>Fc
## Grupos 3 3.154 3 0.88523 0.44998
## Idade 1 2.741 5 2.30830 0.13051
## Grupos*Idade 3 3.120 2 0.87563 0.45492
## Residuo 173 205.460 4
## Total 180 214.475 1
## ------------------------------------------------------------------------
## CV = 1.994903e+16 %
##
## ------------------------------------------------------------------------
## Teste de normalidade dos residuos (Shapiro-Wilk)
## valor-p: 6.397186e-07
## ATENCAO: a 5% de significancia, os residuos nao podem ser considerados normais!
## ------------------------------------------------------------------------
##
## Interacao nao significativa: analisando os efeitos simples
## ------------------------------------------------------------------------
## Grupos
## De acordo com o teste F, as medias desse fator sao estatisticamente iguais.
## ------------------------------------------------------------------------
## Niveis Medias
## 1 CONT 0.074019104
## 2 DDD -0.147257203
## 3 DDDE 0.230151329
## 4 DDE 0.001726606
## ------------------------------------------------------------------------
## Idade
## De acordo com o teste F, as medias desse fator sao estatisticamente iguais.
## ------------------------------------------------------------------------
## Niveis Medias
## 1 ADULTO -0.1606291
## 2 PUBERE 0.1216414
## ------------------------------------------------------------------------
