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

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

[[1]][[3]]
NULL

[[1]][[4]]
NULL

[[1]][[5]]
NULL


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

Response: datos2$valores
             Sum Sq Df F value    Pr(>F)    
(Intercept) 26810.5  1 230.016 < 2.2e-16 ***
datos2$F1    3205.7  1  27.503 2.480e-06 ***
Residuals    6527.3 56                      
---
Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1 

[[3]]

Call:
lm(formula = datos2$valores ~ datos2$F1)

Residuals:
    Min      1Q  Median      3Q     Max 
-25.034  -9.916   1.266   8.067  18.934 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)   21.500      1.418  15.166  < 2e-16 ***
datos2$F11    -7.434      1.418  -5.244 2.48e-06 ***
---
Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1 

Residual standard error: 10.8 on 56 degrees of freedom
Multiple R-squared: 0.3294,	Adjusted R-squared: 0.3174 
F-statistic:  27.5 on 1 and 56 DF,  p-value: 2.480e-06 


[[4]]

	Lilliefors (Kolmogorov-Smirnov) normality test

data:  residuos 
D = 0.1131, p-value = 0.06213


[[5]]

	Shapiro-Wilk normality test

data:  residuos 
W = 0.9614, p-value = 0.06199


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

[[6]][[2]]
Levene's Test for Homogeneity of Variance
      Df F value  Pr(>F)  
group  1  2.8174 0.09882 .
      56                  
---
Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1 

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

[[6]][[4]]
NULL

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

[[6]][[6]]
NULL

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

[[6]][[8]]
NULL


[[7]]
[1] "Sesgo"              "-0.268698939750993"

[[8]]
[1] "Curtosis"           "-0.664779390373995"

[[9]]

	 Simultaneous Tests for General Linear Hypotheses

Multiple Comparisons of Means: Tukey Contrasts


Fit: lm(formula = dv ~ Factor1)

Linear Hypotheses:
           Estimate Std. Error t value Pr(>|t|)    
2 - 1 == 0   14.869      2.835   5.244 2.48e-06 ***
---
Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1 
(Adjusted p values reported -- single-step method)


