Plugging a new value to ksdensity

I have a one dimensional vector r sampled from some (unknown) probability distribution and fit ksdensity to compute its pdf.

[f,xi] = ksdensity(r)

Then, I want to obtain a fitted value of f on a new scalar (say, x_new), which is not a member of xi.

How can I do it?

For instance,

r = randn(100,1);

[f,xi]=ksdensity(r);

x_new=1.1;

Answer 1

[Torsten]

rng("default")
r = randn(100,1);
x_new = 1.1;
f = ksdensity(r,x_new)

f = 0.2331

or

rng("default")
r = randn(100,1);
f = @(x)ksdensity(r,x);
x_new = 1.1;
y = f(x_new)

y = 0.2331

[Roy0014]

Thank you so much!