| Ratkowsky2(NISTnls) | R Documentation |
The Ratkowsky2 data frame has 9 rows and 2 columns.
y |
A numeric vector of pasture yields. |
x |
A numeric vector of growing times. |
This data frame contains the following columns:
This model and data are an example of fitting sigmoidal growth curves taken from Ratkowsky (1983). The response variable is pasture yield, and the predictor variable is growing time.
Ratkowsky, D.A. (1983). Nonlinear Regression Modeling. New York, NY: Marcel Dekker, pp. 61 and 88.
library(NISTnls)
data(Ratkowsky2)
plot(y ~ x, data = Ratkowsky2)
fm1 <- nls(y ~ b1 / (1+exp(b2-b3*x)), data = Ratkowsky2, trace = TRUE,
start = c(b1 = 100, b2 = 1, b3 = 0.1), warnOnly = TRUE)
fm2 <- nls(y ~ b1 / (1+exp(b2-b3*x)), data = Ratkowsky2, trace = TRUE,
start = c(b1 = 75, b2 = 2.5, b3 = 0.07), warnOnly = TRUE)
fm3 <- nls(y ~ 1 / (1+exp(b2-b3*x)), data = Ratkowsky2, trace = TRUE,
start = c(b2 = 1, b3 = 0.1), warnOnly = TRUE, alg = "plinear")
fm4 <- nls(y ~ 1 / (1+exp(b2-b3*x)), data = Ratkowsky2, trace = TRUE,
start = c(b2 = 2.5, b3 = 0.07), warnOnly = TRUE, alg = "plinear")
## Using a self-starting model
fm5 <- nls(y ~ SSlogis(x, Asym, xmid, scal), data = Ratkowsky2)
fm5