Description Usage Details Note See Also Examples

This is a method for the function `anova()`

for objects
inheriting from class `rsm`

. See `anova`

for the general behaviour of this function.

1 2 |

When called with a single `rsm`

object, `anova.rsm`

may take a while to run, because it fully iterates a series of
`rsm`

models. The series is constructed by successively
adding to the null model all the terms in `object`

, taken
in the order they appear in `terms(object)`

.

For each term minus twice the log likelihood is returned instead of the residual sum of squares. The degrees of freedom change according to whether the scale parameter is known or not.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | ```
## Sea Level Data
data(venice)
attach(venice)
Year <- 1:51/51
c11 <- cos(2*pi*1:51/11) ; s11 <- sin(2*pi*1:51/11)
c19 <- cos(2*pi*1:51/18.62) ; s19 <- sin(2*pi*1:51/18.62)
venice.p <- rsm(sea ~ Year + I(Year^2) + c11 + s11 + c19 + s19,
family = extreme)
anova(venice.p)
##
venice.l <- rsm(sea ~ Year + I(Year^2), family = extreme)
anova(venice.p, venice.l)
##
detach()
## House Price Data
data(houses)
houses.rsm <- rsm(price ~ ., family = student(5), data = houses)
anova(houses.rsm)
``` |

marg documentation built on April 16, 2018, 5:06 p.m.

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