How do I truncate a normally distributed random variable?

I have a random variable 'y' that follows the normal distribution. For example:

x =  -4:0.1:4;
y = normpdf(x);

I need to create another vector consisting of elements of 'y' truncated at a certain point, how do I do that?

Answer 1

[Torsten]

xtl = 2.0; % left point of trunction 
xtr = Inf; % right point of truncation
x = -4:0.1:4;
y = normpdf(x);
yt = normpdf(x)/(normcdf(xtr)-normcdf(xtl)).*(x>=xtl).*(x<=xtr);

Best wishes

Torsten.

Answer 2

[Torsten]

https://de.mathworks.com/help/stats/prob.truncatabledistribution.truncate.html

Best wishes

Torsten.

[Yerzhigit Bapin]

This is only applicable to the probability distribution objects.