I am currently working with B-splines using R's function bs
from the package splines
and as a graphic example I would like to provide a figure showing the differences between set of splines with different degrees.
The problem is that bs
only supports degrees bigger than 0.
A spline of degree zero, is nothing more than an indicator function for the given region defined by the knots, but I don't really know how to generate it.
This is what I've done so far
x<-seq(0,1,length.out =1000)
par(mfrow=c(3,1))
B1<-bs(x,knots = seq(0,1,length.out = 11)[-c(1,11)],Boundary.knots = c(0,1),intercept = T,degree = 1)
matplot(x,B1,type="l",lty=1,ylim = c(-0.1,1.2),xlab = "",ylab = "")
abline(v=seq(0,1,length.out = 11),lty=2)
legend("top", legend ="B-splines of order 2")
B2<-bs(x,knots = seq(0,1,length.out = 11)[-c(1,11)],Boundary.knots = c(0,1),intercept = T,degree = 2)
matplot(x,B2,type="l",lty=1,ylim = c(-0.1,1.2),xlab = "",ylab = "")
abline(v=seq(0,1,length.out = 11),lty=2)
legend("top", legend ="B-splines of order 3")
B3<-bs(x,knots = seq(0,1,length.out = 11)[-c(1,11)],Boundary.knots = c(0,1),intercept = T,degree = 3)
matplot(x,B3,type="l",lty=1,ylim = c(-0.1,1.2),xlab = "",ylab = "")
abline(v=seq(0,1,length.out = 11),lty=2)
legend("top", legend ="B-splines of order 4")
This image taken from Hastie et.al (2017) is basically what I am missing.
Thanks in advance
As I understand from the comments, you want a function that given an input vector x
of n points returns a series of n-1 "splines"; where the ith spline is defined as having the value 1
in the range x[i] < x < x[i+1]
or 0
elsewhere.
We can do this so:
x <- seq(0,1,length.out =10)
zero_spline = function(x, xout, n=1000) {
if (missing(xout)) xout = seq(min(x), max(x), length.out = n)
zs = data.frame()
y = numeric(length(xout))
for (i in 1:(length(x)-1L)) {
yi = y
yi[(xout > x[i]) & (xout < x[i+1])] = 1
zs = rbind(zs, data.frame(xout, yi, interval=i))
}
zs
}
zs = zero_spline(x, n=100)
library(ggplot2)
ggplot(zs, aes(xout, yi, color=factor(interval))) +
geom_line()