[[1]]
[1] "ANCOVA"

[[2]]
[[2]][[1]]
[1] "Factores empleados en el anlisis:"

[[2]][[2]]
[1] "Especie"

[[2]][[3]]
[1] "Investigador"

[[2]][[4]]
[1] "Zona"


[[3]]
[[3]][[1]]
[1] "Covariables empleadas en el anlisis:"

[[3]][[2]]
[1] "Longitud.total"

[[3]][[3]]
NULL

[[3]][[4]]
NULL

[[3]][[5]]
NULL


[[4]]
Anova Table (Type III tests)

Response: datos2$valores
                               Sum Sq Df  F value    Pr(>F)    
(Intercept)                     26.16  1   7.3725  0.009649 ** 
datos2$C1                     1836.81  1 517.5749 < 2.2e-16 ***
datos2$F1                       31.33  1   8.8272  0.004946 ** 
datos2$F2                        8.40  1   2.3667  0.131631    
datos2$F3                       19.40  3   1.8217  0.158291    
datos2$F1:datos2$F2             19.36  1   5.4560  0.024472 *  
datos2$F1:datos2$F3             24.10  3   2.2633  0.095440 .  
datos2$F2:datos2$F3              7.90  3   0.7423  0.532991    
datos2$F1:datos2$F2:datos2$F3   36.20  3   3.3999  0.026547 *  
Residuals                      145.50 41                       
---
Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1 

[[5]]

Call:
lm(formula = datos2$valores ~ datos2$C1 + datos2$F1 * datos2$F2 * 
    datos2$F3)

Residuals:
    Min      1Q  Median      3Q     Max 
-4.0714 -0.8618  0.1270  0.8936  4.3892 

Coefficients:
                                  Estimate Std. Error t value Pr(>|t|)    
(Intercept)                      -3.216895   1.184762  -2.715  0.00965 ** 
datos2$C1                         0.079890   0.003512  22.750  < 2e-16 ***
datos2$F11                        1.194029   0.401888   2.971  0.00495 ** 
datos2$F21                       -0.404364   0.262845  -1.538  0.13163    
datos2$F31                        0.157539   0.436932   0.361  0.72028    
datos2$F32                        0.209887   0.441931   0.475  0.63736    
datos2$F33                       -1.052422   0.463951  -2.268  0.02864 *  
datos2$F11:datos2$F21            -0.704726   0.301705  -2.336  0.02447 *  
datos2$F11:datos2$F31             1.399992   0.599839   2.334  0.02458 *  
datos2$F11:datos2$F32             0.579418   0.550132   1.053  0.29840    
datos2$F11:datos2$F33            -0.048815   0.468853  -0.104  0.91759    
datos2$F21:datos2$F31            -0.183661   0.446204  -0.412  0.68277    
datos2$F21:datos2$F32            -0.022974   0.428647  -0.054  0.95752    
datos2$F21:datos2$F33            -0.564626   0.478437  -1.180  0.24474    
datos2$F11:datos2$F21:datos2$F31  0.875689   0.470182   1.862  0.06972 .  
datos2$F11:datos2$F21:datos2$F32  0.943766   0.432197   2.184  0.03477 *  
datos2$F11:datos2$F21:datos2$F33 -0.746687   0.449938  -1.660  0.10464    
---
Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1 

Residual standard error: 1.884 on 41 degrees of freedom
Multiple R-squared: 0.9851,	Adjusted R-squared: 0.9792 
F-statistic: 168.8 on 16 and 41 DF,  p-value: < 2.2e-16 


[[6]]

	Lilliefors (Kolmogorov-Smirnov) normality test

data:  residuos 
D = 0.0921, p-value = 0.2556


[[7]]

	Shapiro-Wilk normality test

data:  residuos 
W = 0.9771, p-value = 0.3400


[[8]]
[[8]][[1]]
[1] "Factor1"

[[8]][[2]]
Levene's Test for Homogeneity of Variance
      Df F value   Pr(>F)   
group  1  10.227 0.002278 **
      56                    
---
Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1 

[[8]][[3]]
[1] "Factor2"

[[8]][[4]]
Levene's Test for Homogeneity of Variance
      Df F value Pr(>F)
group  1  0.1246 0.7254
      56               

[[8]][[5]]
[1] "Factor3"

[[8]][[6]]
Levene's Test for Homogeneity of Variance
      Df F value Pr(>F)
group  3  0.5923 0.6227
      54               


[[9]]
[1] "Sesgo"              "-0.328227935965377"

[[10]]
[1] "Curtosis"          "0.698715658423597"


Call:
lm(formula = valores ~ datos[, Covregr1])

Residuals:
    Min      1Q  Median      3Q     Max 
-5.5431 -0.9134  0.3401  1.0020  5.7347 

Coefficients:
                  Estimate Std. Error t value Pr(>|t|)    
(Intercept)       0.168736   0.518583   0.325    0.746    
datos[, Covregr1] 0.069365   0.001446  47.970   <2e-16 ***
---
Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1 

Residual standard error: 2.032 on 56 degrees of freedom
Multiple R-squared: 0.9762,	Adjusted R-squared: 0.9758 
F-statistic:  2301 on 1 and 56 DF,  p-value: < 2.2e-16 

