@distributed computing

New to Julia
7

So I replaced the replic function with following, but didn’t work,


# with parallel


function replic_par(R, N1, N0, B, N1_b, N0_b, seedn)
    Random.seed!(seedn)
    R_means =  SharedArray{Float64}(R)
    R_bootmeans = SharedArray{Float64}(R)
    R_bootvars = SharedArray{Float64}(R)

    @sync @distributed for i in 1:R
        treated, control = create_data(N1, N0) # create the data
        matched = match_tc(treated, control) # match and create matched data
        ATET = mean(matched[:, 1] - matched[:, 2]) # estimate
        R_means[i] =  ATET

        # Bootstrap replication is 100
        ATET_b = boot_ATET(B, treated, control, N1_b, N0_b)
        boot_mean = mean(ATET_b)
        R_bootmeans[i] = boot_mean
        boot_var = sum((ATET_b .- ATET).^2)/B
        R_bootvars[i] = boot_var
    end
    R_means, R_bootmeans, R_bootvars
end

thanks for all the help anyways,