Hello all! I've posted the question before but I am still struggling for an answer, please help if you can;-)
Suppose a discrete series of data is generated by the following equation: CF=exp(-(t^2)/2) which is the characteristic function of a random variable X with standard normal distribution, how do I *numerically* solve for its probability density function? i.e., obtain a series of data that plots a well know bell-shape curve? Or, find x such that Pr(X<x)=0.05? I have no problem to derive the forward and inverse Fourier equation pair, but just no clue on numerical method. A working code on this simplest exercise would clear off many, many of my confusions I have generated CF with t of 256 points equally spaced between -4 to 4 in Excel, but don't know how to proceed. Thanks for your help! Jindan ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.