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R = trnd(V)
R = trnd(v,m)
R = trnd(V,m,n)
R = trnd(V) generates random numbers from Student's t distribution with V degrees of freedom. V can be a vector, a matrix, or a multidimensional array. The size of R is the size of V.
R = trnd(v,m) generates random numbers from Student's t distribution with v degrees of freedom, where v is a row vector. If v is a 1-by-2 vector, R is a matrix with v(1) rows and v(2) columns. If v is 1-by-n, R is an n-dimensional array.
R = trnd(V,m,n) generates random numbers from Student's t distribution with V degrees of freedom, where scalars m and n are the row and column dimensions of R.
noisy = trnd(ones(1,6)) noisy = 19.7250 0.3488 0.2843 0.4034 0.4816 -2.4190 numbers = trnd(1:6,[1 6]) numbers = -1.9500 -0.9611 -0.9038 0.0754 0.9820 1.0115 numbers = trnd(3,2,6) numbers = -0.3177 -0.0812 -0.6627 0.1905 -1.5585 -0.0433 0.2536 0.5502 0.8646 0.8060 -0.5216 0.0891
random, tpdf, tcdf, tinv, tstat
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