# \#rolling

**URL:** https://discourse.julialang.org/tag/rolling/845.md

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## [Variable sized windows for moving average](https://discourse.julialang.org/t/variable-sized-windows-for-moving-average/115078)

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**Author:** [@feanor12](https://discourse.julialang.org/u/feanor12)\
**Replies:** 8\
**Last updated:** [June 4, 2024, 6:19am UTC](https://discourse.julialang.org/t/variable-sized-windows-for-moving-average/115078 "2024-06-04T06:19:56Z")

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Hi, I saw some libraries for moving averages (RollingFunctions.jl), but I did not find one with the option to make the window size variable. My specific case would be a moving average over a “time series”, averaging the…

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## [Taking rolling functions seriously](https://discourse.julialang.org/t/taking-rolling-functions-seriously/70257)

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**Author:** [@JeffreySarnoff](https://discourse.julialang.org/u/JeffreySarnoff)\
**Replies:** 0\
**Last updated:** [October 23, 2021, 8:40am UTC](https://discourse.julialang.org/t/taking-rolling-functions-seriously/70257 "2021-10-23T08:40:23Z")

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Generally speaking, a to roll a function over windowed data is to apply that function to consecutive data subspans, where the length (for vector data) of each subspan is given by the window size. The language has advanc…