Using BootStrap package to obtain the distribution of mean/sd

General Usage
1

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?

2

You are looking for the unfortunately undocumented Bootstrap.straps function.

See Feature to retrieve all sampled results so that a histogram can be obtained · Issue #86 · juliangehring/Bootstrap.jl · GitHub

3

Perfect!
Thanks a lot.