Module: Stl
- Defined in:
- lib/stl.rb,
lib/stl/version.rb
Constant Summary collapse
- VERSION =
"0.3.0"
Class Method Summary collapse
- .decompose(series, period:, seasonal_length: nil, trend_length: nil, low_pass_length: nil, seasonal_degree: nil, trend_degree: nil, low_pass_degree: nil, seasonal_jump: nil, trend_jump: nil, low_pass_jump: nil, inner_loops: nil, outer_loops: nil, robust: false) ⇒ Object
- .plot(series, result) ⇒ Object
- .seasonal_strength(result) ⇒ Object
- .trend_strength(result) ⇒ Object
Class Method Details
.decompose(series, period:, seasonal_length: nil, trend_length: nil, low_pass_length: nil, seasonal_degree: nil, trend_degree: nil, low_pass_degree: nil, seasonal_jump: nil, trend_jump: nil, low_pass_jump: nil, inner_loops: nil, outer_loops: nil, robust: false) ⇒ Object
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# File 'lib/stl.rb', line 9 def decompose( series, period:, seasonal_length: nil, trend_length: nil, low_pass_length: nil, seasonal_degree: nil, trend_degree: nil, low_pass_degree: nil, seasonal_jump: nil, trend_jump: nil, low_pass_jump: nil, inner_loops: nil, outer_loops: nil, robust: false ) if period < 2 raise ArgumentError, "period must be greater than 1" end params = StlParams.new params.seasonal_length(seasonal_length) unless seasonal_length.nil? params.trend_length(trend_length) unless trend_length.nil? params.low_pass_length(low_pass_length) unless low_pass_length.nil? params.seasonal_degree(seasonal_degree) unless seasonal_degree.nil? params.trend_degree(trend_degree) unless trend_degree.nil? params.low_pass_degree(low_pass_degree) unless low_pass_degree.nil? params.seasonal_jump(seasonal_jump) unless seasonal_jump.nil? params.trend_jump(trend_jump) unless trend_jump.nil? params.low_pass_jump(low_pass_jump) unless low_pass_jump.nil? params.inner_loops(inner_loops) unless inner_loops.nil? params.outer_loops(outer_loops) unless outer_loops.nil? params.robust(robust) unless robust.nil? if series.is_a?(Hash) sorted = series.sort_by { |k, _| k } y = sorted.map(&:last) else y = series end params.fit(y, period, outer_loops.nil? ? robust : outer_loops > 0) end |
.plot(series, result) ⇒ Object
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# File 'lib/stl.rb', line 48 def plot(series, result) require "vega" data = if series.is_a?(Hash) series.sort_by { |k, _| k }.map.with_index do |s, i| { x: iso8601(s[0]), series: s[1], seasonal: result[:seasonal][i], trend: result[:trend][i], remainder: result[:remainder][i] } end else series.map.with_index do |v, i| { x: i, series: v, seasonal: result[:seasonal][i], trend: result[:trend][i], remainder: result[:remainder][i] } end end if series.is_a?(Hash) x = {field: "x", type: "temporal"} x["scale"] = {type: "utc"} if series.keys.first.is_a?(Date) else x = {field: "x", type: "quantitative"} end x[:axis] = {title: nil, labelFontSize: 12} charts = ["series", "seasonal", "trend", "remainder"].map do |field| { mark: {type: "line"}, encoding: { x: x, y: {field: field, type: "quantitative", scale: {zero: false}, axis: {labelFontSize: 12}} }, width: "container", height: 100 } end Vega.lite .data(data) .vconcat(charts) .config(autosize: {type: "fit-x", contains: "padding"}) .width(nil) # prevents warning .height(nil) # prevents warning and sets div height to auto end |
.seasonal_strength(result) ⇒ Object
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# File 'lib/stl.rb', line 103 def seasonal_strength(result) sr = result[:seasonal].zip(result[:remainder]).map { |a, b| a + b } [0, 1 - var(result[:remainder]) / var(sr)].max end |
.trend_strength(result) ⇒ Object
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# File 'lib/stl.rb', line 108 def trend_strength(result) tr = result[:trend].zip(result[:remainder]).map { |a, b| a + b } [0, 1 - var(result[:remainder]) / var(tr)].max end |