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)
|
Analysis of Deviance Table
Error distribution: extreme
Scale parameter: free (1 df lost for fitting)
Response: sea
Terms added sequentially (first to last)
Df Deviance Resid. Df -2*LL Pr(>Chi)
NULL 49 446.33
Year 1 14.1006 48 432.23 0.0001733 ***
I(Year^2) 1 0.0337 47 432.20 0.8542665
c11 1 14.1302 46 418.06 0.0001706 ***
s11 1 3.9869 45 414.08 0.0458541 *
c19 1 2.9914 44 411.09 0.0837076 .
s19 1 2.0166 43 409.07 0.1555920
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Analysis of Deviance Table
Error distribution: extreme
Scale parameter: free (1 df lost for fitting)
Response: sea
Model 1: Year + I(Year^2) + c11 + s11 + c19 + s19
Model 2: Year + I(Year^2)
Resid. Df -2*LL Df Deviance Pr(>Chi)
1 43 409.07
2 47 432.20 4 23.125 0.0001195 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Analysis of Deviance Table
Error distribution: student
Scale parameter: free (1 df lost for fitting)
Response: price
Terms added sequentially (first to last)
Df Deviance Resid. Df -2*LL Pr(>Chi)
NULL 24 205.56
bdroom 1 3.7962 23 201.77 0.05137 .
floor 1 17.3924 22 184.38 3.04e-05 ***
rooms 1 5.4057 21 178.97 0.02007 *
front 1 2.2779 20 176.69 0.13123
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
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