Open minhuangr opened 9 months ago
thank you -- this release was in response to another request, and an earlier update that never was tagged. Clearly something is amiss -- looking into it.
for the moment -- you can do this with v0.8
using StatsBase
datalen = 12;
data1 = randn(datalen);
data2 = sort(data1);
window_width = datalen - 2;
cov_1to7 = cov(data1[1:7], data2[1:7]);
cov_1to8 = cov(data1[1:8], data2[1:8]);
cov_1to9 = cov(data1[1:9], data2[1:9]);
cov_789 = [cov_1to7, cov_1to8, cov_1to9];
cov_result = running(cov, data1, data2, window_width);
isapprox(cov_789, cov_result[7:9]) # true, they are == in my test
# re padding
julia> running(cov, data1, data2, window_width)[1:4]
4-element Vector{Float64}:
NaN
-0.010042855884454055
-0.16906938390288762
-0.23392207942162288
julia> running(cov, data1, data2, window_width; padding=[0.0])[1:4]
4-element Vector{Float64}:
0.0
-0.010042855884454055
-0.16906938390288762
-0.23392207942162288
running(cov, data1, data2, window_width)
yep, I read the notes for this 1.0 version. Maybe I should post on the main branch.
well there is no 1.0 version before there is a 1.0 version -- the branches are playthings the actual to-be 1.0 version is in a different repository .. this 1.0 branch is just as notes now
I just upgraded RollingFunctions.jl to 0.8.0 but found runcov() was broken. I have to downgrade to 0.7.0. Is it possibly due to the new padding feature?
I just input one Int64 but the error message suggests two.