ANOVA Results from the R script (ProtStatsCompare.R)
> summary(total.mod1)
Call:
lm(formula = Slen ~ Tax, data = total.df)
Residuals:
Min 1Q Median 3Q Max
-786.80 -3.80 5.46 32.45 72.20
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1340.800 8.393 159.758 <2e-16 ***
TaxRodent 26.740 13.291 2.012 0.046 *
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Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 81.8 on 156 degrees of freedom
Multiple R-squared: 0.02529, Adjusted R-squared: 0.01904
F-statistic: 4.048 on 1 and 156 DF, p-value: 0.04596
> anova(total.mod1)
Analysis of Variance Table
Response: Slen
Df Sum Sq Mean Sq F value Pr(>F)
Tax 1 27084 27084.4 4.0476 0.04596 *
Residuals 156 1043879 6691.5
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Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
> confint(total.mod1)
2.5 % 97.5 %
(Intercept) 1324.2220332 1357.37797
TaxRodent 0.4860421 52.99332
| Primates vs. Rodent Drosha Protein Slen | Fitted ANOVA Results |
|---|---|
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