Reputation: 977
l want to get a matrix with uniformly random values sampled from [-1,2]
x= rand([-1,2],(3,3))
3x3 Array{Int64,2}:
-1 -1 -1
2 -1 -1
-1 -1 -1
but it takes into consideration just -1 and 2, and I'm looking for continuous values for instance -0.9 , 0.75, -0.09, 1.80. How can I do that?
Upvotes: 8
Views: 13798
Reputation: 3940
for random number in range [a,b]
rand() * (b-a) + a
and it works for a matrix aswell
rand(3,3) * (2 - (-1)) - 1
3x3 Array{Float64,2}:
1.85611 0.456955 -0.0219579
1.91196 -0.0352324 0.0296134
1.63924 -0.567682 0.45602
Upvotes: 11
Reputation: 7893
You need to use a FloatRange{Float64}
with the dessired step
:
julia> rand(-1.0:0.01:2.0, 3, 3)
3x3 Array{Float64,2}:
0.79 1.73 0.95
0.73 1.4 -0.46
1.42 1.68 -0.55
Upvotes: 5
Reputation: 10980
Note: I am assuming here that you're looking for uniform random variables.
You can also use the Distributions package:
## Pkg.add("Distributions") # If you don't already have it installed.
using Distributions
rand(Uniform(-1,2), 3,3)
I do quite like isebarn's solution though, as it gets you thinking about the actual properties of the underlying probability distributions.
Upvotes: 17