
Ryegrass
ryegrass2.RdData from a dose-response experiment with ryegrass (Lolium sp.). Biomass was measured at different dose levels and at two time points.
Usage
data(ryegrass2)Format
A data frame with 27 observations on the following 3 variables.
dosea numeric vector
biomassa numeric vector
daya categorial vector
Examples
library(drc)
## Displaying the data
head(ryegrass2)
#> dose biomass day
#> 1 0 77.5 0
#> 2 0 78.0 0
#> 3 0 75.0 0
#> 4 0 214.4 15
#> 5 0 215.4 15
#> 6 0 227.5 15
## Fitting a four-parameter log-logistic model with separate curves per day
ryegrass2.m1 <- drm(biomass ~ dose, day, data = ryegrass2, fct = LL.4())
#> Control measurements detected for level: 0
summary(ryegrass2.m1)
#>
#> Model fitted: Log-logistic (ED50 as parameter) (4 parms)
#>
#> Parameter estimates:
#>
#> Estimate Std. Error t-value p-value
#> b:(Intercept) 2.9412 2.4262 1.2123 0.237709
#> c:(Intercept) 82.7372 21.4655 3.8544 0.000807 ***
#> d:(Intercept) 179.8062 12.4500 14.4423 5.046e-13 ***
#> e:(Intercept) 13.6913 6.2483 2.1912 0.038827 *
#> ---
#> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#>
#> Residual standard error:
#>
#> 44.3814 (23 degrees of freedom)
## Plotting the fitted curves
plot(ryegrass2.m1, xlab = "Dose", ylab = "Biomass")