Aliases: anova.trls anovalist.trls
Keywords: spatial
### ** Examples library(stats) data(topo, package="MASS") topo0 <- surf.ls(0, topo) topo1 <- surf.ls(1, topo) topo2 <- surf.ls(2, topo) topo3 <- surf.ls(3, topo) topo4 <- surf.ls(4, topo) anova(topo0, topo1, topo2, topo3, topo4)
Analysis of Variance Table Model 1: surf.ls(np = 0, x = topo) Model 2: surf.ls(np = 1, x = topo) Model 3: surf.ls(np = 2, x = topo) Model 4: surf.ls(np = 3, x = topo) Model 5: surf.ls(np = 4, x = topo) Res.Df Res.Sum Sq Df Sum Sq F value Pr(>F) 1 51 196030 2 49 67186 2 128844 46.9843 4.040e-12 3 46 39958 3 27228 10.4482 2.325e-05 4 42 21577 4 18381 8.9447 2.558e-05 5 37 14886 5 6691 3.3265 0.014
summary(topo4)
Analysis of Variance Table
Model: surf.ls(np = 4, x = topo)
Sum Sq Df Mean Sq F value Pr(>F)
Regression 181144.0 14 12938.8567 32.16092 2.2204e-16
Deviation 14885.7 37 402.3162
Total 196029.7 51
Multiple R-Squared: 0.9241, Adjusted R-squared: 0.8953
AIC: (df = 15) 324.1594
Fitted:
Min 1Q Median 3Q Max
702.1 785.0 836.3 880.5 939.1
Residuals:
Min 1Q Median 3Q Max
-34.077 -12.568 -2.085 14.056 50.161