Types
RegressionSetting
LinRegOutliers.Basis.RegressionSetting
— Typestruct RegressionSetting
formula::FormulaTerm
data::DataFrame
end
Immutable data structure for a regression setting.
Arguments
formula::FormulaTerm
: A formula object describes the linear regression model.data::DataFrame
: DataFrame object holds the data
Notes
Implemented methods in this packages accepts linear models as RegressionSetting objects.
This objects holds the model formula and the data used in regression estimations.
Examples
julia> setting = RegressionSetting(@formula(calls ~ year), phones)
RegressionSetting(calls ~ year, 24×2 DataFrame
│ Row │ year │ calls │
│ │ Int64 │ Float64 │
├─────┼───────┼─────────┤
│ 1 │ 50 │ 4.4 │
│ 2 │ 51 │ 4.7 │
│ 3 │ 52 │ 4.7 │
│ 4 │ 53 │ 5.9 │
│ 5 │ 54 │ 6.6 │
│ 6 │ 55 │ 7.3 │
│ 7 │ 56 │ 8.1 │
│ 8 │ 57 │ 8.8 │
│ 9 │ 58 │ 10.6 │
│ 10 │ 59 │ 12.0 │
⋮
│ 14 │ 63 │ 21.2 │
│ 15 │ 64 │ 119.0 │
│ 16 │ 65 │ 124.0 │
│ 17 │ 66 │ 142.0 │
│ 18 │ 67 │ 159.0 │
│ 19 │ 68 │ 182.0 │
│ 20 │ 69 │ 212.0 │
│ 21 │ 70 │ 43.0 │
│ 22 │ 71 │ 24.0 │
│ 23 │ 72 │ 27.0 │
│ 24 │ 73 │ 29.0 │)