# tests/smooth.construct.so.smooth.spec.R In mgcv: Mixed GAM Computation Vehicle with Automatic Smoothness Estimation

```## donttest examples from smooth.construct.so.smooth.spec
library(mgcv)
set.seed(9)
n <- 10000;nmax <- 100
v <- runif(n)*5-1;w<-runif(n)*2-1
t <- runif(n)
y <- fs.test(v,w,b=1)
y <- y + 4.2
y <- y^(.5+t)
fsb <- list(fs.boundary())
names(fsb[[1]]) <- c("v","w")
ind <- inSide(fsb,x=v,y=w) ## remove outsiders
y <- y[ind];v <- v[ind]; w <- w[ind]; t <- t[ind]
n <- length(y)
y <- y + rnorm(n)*.05 ## add noise
knots <- data.frame(v=rep(seq(-.5,3,by=.5),4),
w=rep(c(-.6,-.3,.3,.6),rep(8,4)))

## notice NULL element in 'xt' list - to indicate no xt object for "cr" basis...
bk <- gam(y~ te(v,w,t,bs=c("sf","cr"),k=c(25,4),d=c(2,1),
xt=list(list(bnd=fsb,nmax=nmax),NULL))+
te(v,w,t,bs=c("sw","cr"),k=c(25,4),d=c(2,1),
xt=list(list(bnd=fsb,nmax=nmax),NULL)),knots=knots)

par(mfrow=c(3,2))
m<-100;n<-50
xm <- seq(-1,3.5,length=m);yn<-seq(-1,1,length=n)
xx <- rep(xm,n);yy<-rep(yn,rep(m,n))
tru <- matrix(fs.test(xx,yy),m,n)+4.2 ## truth

image(xm,yn,tru^.5,col=heat.colors(100),xlab="v",ylab="w",
main="truth")
lines(fsb[[1]]\$v,fsb[[1]]\$w,lwd=3)

vis.gam(bk,view=c("v","w"),cond=list(t=0),plot.type="contour")

image(xm,yn,tru,col=heat.colors(100),xlab="v",ylab="w",
main="truth")
lines(fsb[[1]]\$v,fsb[[1]]\$w,lwd=3)

vis.gam(bk,view=c("v","w"),cond=list(t=.5),plot.type="contour")

image(xm,yn,tru^1.5,col=heat.colors(100),xlab="v",ylab="w",
main="truth")
lines(fsb[[1]]\$v,fsb[[1]]\$w,lwd=3)

vis.gam(bk,view=c("v","w"),cond=list(t=1),plot.type="contour")
```

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mgcv documentation built on June 19, 2018, 1:03 a.m.