Overall linear model significance.

lmSignif compute the significance of the F statistics in a summary.lm object.

lmSignif(s)

Arguments

s

an object of class summary.lm (or a linear model of class lm that will get summarized)

Value

Overall significance of a linear model.

Examples

m <- lm(Sepal.Length~Sepal.Width, data=iris[iris$Species=='setosa',])
summary(m)
#> 
#> Call:
#> lm(formula = Sepal.Length ~ Sepal.Width, data = iris[iris$Species == 
#>     "setosa", ])
#> 
#> Residuals:
#>      Min       1Q   Median       3Q      Max 
#> -0.52476 -0.16286  0.02166  0.13833  0.44428 
#> 
#> Coefficients:
#>             Estimate Std. Error t value Pr(>|t|)    
#> (Intercept)   2.6390     0.3100   8.513 3.74e-11 ***
#> Sepal.Width   0.6905     0.0899   7.681 6.71e-10 ***
#> ---
#> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#> 
#> Residual standard error: 0.2385 on 48 degrees of freedom
#> Multiple R-squared:  0.5514,	Adjusted R-squared:  0.542 
#> F-statistic: 58.99 on 1 and 48 DF,  p-value: 6.71e-10
#> 
lmSignif(summary(m))
#>        value 
#> 6.709844e-10