Significance Stars
If these worry you, then turn them off. Significance stars are shown by default next to the p values in the output of statistical models.
gg<-read.table("c:\\temp\\Gain.txt",header=T) attach(gg) names(gg) [1] "Weight" "Sex" "Age" "Genotype" "Score"
This is what the default output looks like for an analysis of covariance:
model<-lm(Weight~Age+Sex) summary(model) Coefficients: Estimate Std. Error t value Pr( | t |) (Intercept) 8.17156 0.33118 24.674 < 2e–16 *** Age 0.29958 0.09185 3.262 0.00187 ** Sexmale −0.83161 0.25980 −3.201 0.00224 ** - - - Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1''1
Residual standard error: 1.006 on 57 degrees of freedom Multiple R–Squared: 0.2681, Adjusted R–squared: 0.2425 F–statistic: 10.44 on 2 and 57 DF, p–value: 0.0001368
Here is the output with the significance stars turned off:
options(show.signif.stars=FALSE) summary(model) Coefficients: Estimate Std. Error t value Pr(> | t |) (Intercept) 8.17156 0.33118 24.674 < 2e–16 Age 0.29958 0.09185 3.262 0.00187 Sexmale −0.83161 0.25980 −3.201 0.00224 Residual standard error: 1.006 on 57 degrees of freedom Multiple R–Squared: 0.2681, Adjusted R–squared: 0.2425 F–statistic: 10.44 on 2 and 57 DF, p–value: 0.0001368
You decide.
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