Re: [R] Why giving negative density when doing kernel density estimate?

2006-12-30 Thread 李俊杰
If it matters to you (why?) use pmax(0, kde$y). Actually, it bothers me because I need sufficient precision of numerical calculation in this case, where the density estimate is around zero. To illustrate why I concern about it, I'd like to introduce the problem I am working with. The problem is

Re: [R] Why giving negative density when doing kernel density estimate?

2006-12-30 Thread Prof Brian Ripley
This is called 'rounding error', and has been discussed here previously. If it matters to you (why?) use pmax(0, kde$y). When doing numerical calculations you should always be aware that the numerical results will differ from algebraic ones, and that is all that is happening here. On Sat, 30

[R] Why giving negative density when doing kernel density estimate?

2006-12-29 Thread 李俊杰
Why? And how to solve it? The code and result are following, > data=rnorm(50) > > kde=density(data,n=20,from=-1,to=10) > > kde$x;kde$y [1] -1.000 -0.4210526 0.1578947 0.7368421 1.3157895 1.8947368 [7] 2.4736842 3.0526316 3.6315789 4.2105263 4.7894737 5.3684211 [13] 5.9473684 6.