Comments (1)
Mean
is parameterized by the <:Number
that stores the estimate. In this case, you'd want the storage type to be typeof(1.0u"m")
to accommodate the input type from Unitful.
julia> Folds.reduce(OnlineStats.Mean(typeof(1.0u"m")), [3u"m", 4u"m", 5u"m"])
Mean: n=3 | value=4.0 m
from onlinestats.jl.
Related Issues (20)
- Possible type instability in `OnlineStatsBase.jl` HOT 1
- Group with 3 Stats not working for multi-observations? HOT 3
- Julia VS Code extension reports "Possible method call error" for `fit!` HOT 3
- _fit! on AutoCov is not type stable HOT 1
- Extract field of an observation before feeding an OnlineStats - ValueExtractor wrapper HOT 2
- Feature Request: OnlineStat Chaining HOT 1
- Using StatLag without depending on OnlineStats (just OnlineStatsBase) HOT 4
- ExtremeValues doesn't work HOT 2
- Odd interaction of `Group` with broadcast HOT 2
- [speculative] `NullStat` HOT 1
- Plot of GroupBy of HeatMap fails HOT 1
- when fit!-ing a Group to a NamedTuple, the names are ignored HOT 2
- Documentation Request: List which Monoids support merge HOT 1
- Feature Request: PCA wrapper around CovMatrix which also supports transform methods
- Pretty printing is unpretty inside DataFrame HOT 5
- Support `keys` and `values` on `GroupBy` HOT 1
- Bug: Y-Marginals for heatmap are wrong HOT 1
- Allow counts argument in `fit!` HOT 5
- Suggestions for OnlineStats v2 HOT 1
- Standard Deviation - StdDev HOT 1
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