[[1]]
[[1]][[1]]
[1] "Factores empleados en el anlisis:"

[[1]][[2]]
[1] "Ciudad"

[[1]][[3]]
[1] "Especie.Arbol"

[[1]][[4]]
[1] "Grado.Contaminacin"

[[1]][[5]]
NULL


[[2]]
Anova Table (Type III tests)

Response: valores
            Sum Sq  Df   F value    Pr(>F)    
(Intercept) 8046.1   1 2866.8073 < 2.2e-16 ***
F1            71.0   2   12.6509 8.098e-06 ***
F1:F2         12.3   3    1.4638    0.2266    
F2:F3       1059.2   4   94.3472 < 2.2e-16 ***
Residuals    437.8 156                        
---
Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1 

[[3]]

Call:
lm(formula = valores ~ F1 + F2 %in% F1 + F3 %in% F2, data = datos2)

Residuals:
     Min       1Q   Median       3Q      Max 
-4.19320 -1.14985 -0.02344  1.23328  4.34680 

Coefficients:
                             Estimate Std. Error t value Pr(>|t|)    
(Intercept)                    7.0740     0.1321  53.543  < 2e-16 ***
F11                            0.4768     0.1829   2.606   0.0100 *  
F12                           -0.9334     0.1857  -5.028 1.35e-06 ***
F1Barcelona:F21                0.3831     0.2220   1.726   0.0864 .  
F1Madrid:F21                   0.1685     0.2289   0.736   0.4628    
F1Sevilla:F21                  0.2214     0.2307   0.960   0.3388    
F2Aesculus hippocastanum:F31  -3.4855     0.2725 -12.792  < 2e-16 ***
F2Populus alba:F31            -2.8648     0.2834 -10.108  < 2e-16 ***
F2Aesculus hippocastanum:F32   2.9442     0.2506  11.748  < 2e-16 ***
F2Populus alba:F32             3.2972     0.2598  12.690  < 2e-16 ***
---
Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1 

Residual standard error: 1.675 on 156 degrees of freedom
Multiple R-squared: 0.726,	Adjusted R-squared: 0.7102 
F-statistic: 45.92 on 9 and 156 DF,  p-value: < 2.2e-16 


[[4]]

	Lilliefors (Kolmogorov-Smirnov) normality test

data:  residuos 
D = 0.0492, p-value = 0.4211


[[5]]

	Shapiro-Wilk normality test

data:  residuos 
W = 0.9912, p-value = 0.4003


[[6]]
[[6]][[1]]
[1] "Factor1"

[[6]][[2]]
Levene's Test for Homogeneity of Variance
       Df F value Pr(>F)  
group   2  2.8556 0.0604 .
      163                 
---
Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1 

[[6]][[3]]
[1] "Factor2"

[[6]][[4]]
Levene's Test for Homogeneity of Variance
       Df F value Pr(>F)
group   1  1.9585 0.1636
      164               

[[6]][[5]]
[1] "Factor3"

[[6]][[6]]
Levene's Test for Homogeneity of Variance
       Df F value Pr(>F)
group   2  1.9874 0.1404
      163               

[[6]][[7]]
[1] "Factor4"

[[6]][[8]]
NULL


[[7]]
[1] "Sesgo"             "0.104428396753628"

[[8]]
[1] "Curtosis"            "-0.0447670222160524"

[[9]]

	 Simultaneous Tests for General Linear Hypotheses

Multiple Comparisons of Means: Tukey Contrasts


Fit: lm(formula = dv ~ Factor1 * Factor2 * Factor3)

Linear Hypotheses:
                    Estimate Std. Error t value Pr(>|t|)    
Factor1: 2 - 1 == 0 -1.39555    0.30815  -4.529  < 1e-04 ***
Factor1: 3 - 1 == 0 -0.03466    0.31280  -0.111 0.999996    
Factor1: 3 - 2 == 0  1.36089    0.31608   4.306 0.000206 ***
Factor2: 2 - 1 == 0 -0.49907    0.25504  -1.957 0.274847    
Factor3: 2 - 1 == 0  6.36661    0.31880  19.971  < 1e-04 ***
Factor3: 3 - 1 == 0  3.24535    0.32367  10.027  < 1e-04 ***
Factor3: 3 - 2 == 0 -3.12126    0.29379 -10.624  < 1e-04 ***
---
Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1 
(Adjusted p values reported -- single-step method)


