Description Usage Arguments Examples

View source: R/anova_nlslist.R

Applies an F-test to a non-linear regression model that includes a grouping variable (fit with `nlsList`

), comparing it to a model without a grouping variable. This is a convenient way to test whether there is an overall effect of the grouping variable on the non-linear relationship.

1 | ```
anova_nlslist(nlsfull, nlsreduc)
``` |

`nlsfull` |
The full model, an object returned by |

`nlsreduc` |
The reduced model, which is identical to the full model except the grouping variable has been removed, and it was fit with |

1 2 3 4 5 6 7 8 9 10 11 | ```
chick <- as.data.frame(ChickWeight)
# Fit a simple model with nls
fit0 <- nls(weight ~ a*Time^b, data=chick, start=list(a=10, b=1.1))
# Fit an nlsList model, with a grouping variable (Diet)
fit1 <- nlsList(weight ~ a*Time^b | Diet, data=chick, start=list(a=10, b=1.1))
# Using an F-test, test whether the fit is significantly better when adding
# a grouping variable
anova_nlslist(fit1, fit0)
``` |

RemkoDuursma/nlshelper documentation built on Nov. 29, 2017, 1:13 a.m.

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