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Summarising non-linear model fits

Source: R/summary.drc.R
summary.drc.Rd

summary compiles a comprehensive summary for objects of class 'drc'.

Usage

# S3 method for class 'drc'
summary(object, od = FALSE, pool = TRUE, ...)

Arguments

object

an object of class 'drc'.

od

logical. If TRUE adjustment for over-dispersion is used.

pool

logical. If TRUE curves are pooled. Otherwise they are not. This argument only works for models with independently fitted curves as specified in drm.

...

additional arguments.

Value

A list of summary statistics that includes parameter estimates and estimated standard errors.

See also

drm, coef.drc, confint.drc

Author

Christian Ritz

Examples

ryegrass.m1 <- drm(rootl ~ conc, data = ryegrass, fct = LL.4())
summary(ryegrass.m1)
#> 
#> Model fitted: Log-logistic (ED50 as parameter) (4 parms)
#> 
#> Parameter estimates:
#> 
#>               Estimate Std. Error t-value   p-value    
#> b:(Intercept)  2.98222    0.46506  6.4125 2.960e-06 ***
#> c:(Intercept)  0.48141    0.21219  2.2688   0.03451 *  
#> d:(Intercept)  7.79296    0.18857 41.3272 < 2.2e-16 ***
#> e:(Intercept)  3.05795    0.18573 16.4644 4.268e-13 ***
#> ---
#> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#> 
#> Residual standard error:
#> 
#>  0.5196256 (20 degrees of freedom)