how can use randn function with any matrix and negative or not integers numbers ??

if we have matrix X with size (1*10) for example, how can achieved new matrix (Y for example) with using gaussian equation?

x= [ 1.542 -2.551 0.657 6.337 -0.678 3.758 8.421 -4.215 0.854 -0.924 ]

Answer 1

[Star Strider]

I am not certain what the desired result is.

One possibility —

x = [ 1.542   -2.551   0.657   6.337  -0.678   3.758   8.421  -4.215  0.854   -0.924 ];

df = fitdist(x(:), 'Normal')

df = 
  NormalDistribution

  Normal distribution
       mu =  1.3201   [-1.46982, 4.11002]
    sigma = 3.90004   [2.68258, 7.11995]

xv = linspace(min(x), max(x));
Probabilities = [x; normpdf(x,df.mu,df.sigma)]

Probabilities = 2×10

1.5420 -2.5510 0.6570 6.3370 -0.6780 3.7580 8.4210 -4.2150 0.8540 -0.9240 0.1021 0.0625 0.1008 0.0447 0.0897 0.0841 0.0195 0.0374 0.1016 0.0867

figure
plot(xv, normpdf(xv,df.mu, df.sigma))
hold on
plot([x;x], [0;1]*normpdf(x,df.mu,df.sigma), '--k')
hold off
grid
legend('Normal Distribution','Mapped x-Values', 'location','best')

Make appropriate changes to get the desired result.

.