Hi,

I’m trying to use the bootstrap function to find the mean and sd of a dataset that I have generated. As an example, the following code gives me the mean, error and bias:

A = randn(10)

m = bootstrap(mean,A, BasicSampling(1000))

Output:

Bootstrap Sampling

Estimates:

Var │ Estimate Bias StdError

│ Float64 Float64 Float64

─────┼─────────────────────────────────

1 │ -0.295697 0.00130826 0.293785

Sampling: BasicSampling

Samples: 1000

Data: Vector{Float64}: { 10 }

But I need the distribution of mean values of the 1000 bootstrap samples. Is there any way to get that on Julia?