flux_gen.go

// DO NOT EDIT: This file is autogenerated via the builtin command.

package statsmodels

import (
	ast "github.com/influxdata/flux/ast"
	runtime "github.com/influxdata/flux/runtime"
)

func init() {
	runtime.RegisterPackage(pkgAST)
}

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					Column: 2,
					Line:   44,
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				File:   "linearreg.flux",
				Source: "package statsmodels\n\nimport \"math\"\nimport \"generate\"\n\n// performs linear regression, calculates y_hat, and residuals squared (rse) \n\nlinearRegression = (tables=<-) => {\n  renameAndSum = tables\n    |> rename(columns: {_value: \"y\"})\n    |> map(fn: (r) => ({r with x: 1.0}))\n    |> cumulativeSum(columns: [\"x\"])\n\n  t = renameAndSum \n    |> reduce(\n      fn: (r, accumulator) => ({\n        sx: r.x + accumulator.sx,\n        sy: r.y + accumulator.sy,\n        N: accumulator.N + 1.0,  \n        sxy: r.x * r.y + accumulator.sxy, \n        sxx: r.x * r.x + accumulator.sxx\n      }), \n      identity: {sxy: 0.0, sx:0.0, sy:0.0, sxx:0.0, N:0.0})\n    |> tableFind(fn: (key) => true)\n    |> getRecord(idx: 0)\n\n  xbar = t.sx/t.N \n\n  ybar = t.sy/t.N\n\n  slope = (t.sxy - xbar*ybar*t.N)/(t.sxx - t.N*xbar*xbar)\n\n  intercept = (ybar - slope * xbar)\n\n  y_hat = (r) => ({r with y_hat: slope * r.x + intercept, slope:slope, sx: t.sx, sxy: t.sxy, sxx: t.sxx, N: t.N, sy: t.sy})\n\n  rse = (r) => ({r with errors: (r.y - r.y_hat)^2.0})\n\n  output = renameAndSum\n    |> map(fn: y_hat)\n    |> map(fn: rse)\n    \n  return output\n}",
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					Source: "linearRegression = (tables=<-) => {\n  renameAndSum = tables\n    |> rename(columns: {_value: \"y\"})\n    |> map(fn: (r) => ({r with x: 1.0}))\n    |> cumulativeSum(columns: [\"x\"])\n\n  t = renameAndSum \n    |> reduce(\n      fn: (r, accumulator) => ({\n        sx: r.x + accumulator.sx,\n        sy: r.y + accumulator.sy,\n        N: accumulator.N + 1.0,  \n        sxy: r.x * r.y + accumulator.sxy, \n        sxx: r.x * r.x + accumulator.sxx\n      }), \n      identity: {sxy: 0.0, sx:0.0, sy:0.0, sxx:0.0, N:0.0})\n    |> tableFind(fn: (key) => true)\n    |> getRecord(idx: 0)\n\n  xbar = t.sx/t.N \n\n  ybar = t.sy/t.N\n\n  slope = (t.sxy - xbar*ybar*t.N)/(t.sxx - t.N*xbar*xbar)\n\n  intercept = (ybar - slope * xbar)\n\n  y_hat = (r) => ({r with y_hat: slope * r.x + intercept, slope:slope, sx: t.sx, sxy: t.sxy, sxx: t.sxx, N: t.N, sy: t.sy})\n\n  rse = (r) => ({r with errors: (r.y - r.y_hat)^2.0})\n\n  output = renameAndSum\n    |> map(fn: y_hat)\n    |> map(fn: rse)\n    \n  return output\n}",
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						Source: "(tables=<-) => {\n  renameAndSum = tables\n    |> rename(columns: {_value: \"y\"})\n    |> map(fn: (r) => ({r with x: 1.0}))\n    |> cumulativeSum(columns: [\"x\"])\n\n  t = renameAndSum \n    |> reduce(\n      fn: (r, accumulator) => ({\n        sx: r.x + accumulator.sx,\n        sy: r.y + accumulator.sy,\n        N: accumulator.N + 1.0,  \n        sxy: r.x * r.y + accumulator.sxy, \n        sxx: r.x * r.x + accumulator.sxx\n      }), \n      identity: {sxy: 0.0, sx:0.0, sy:0.0, sxx:0.0, N:0.0})\n    |> tableFind(fn: (key) => true)\n    |> getRecord(idx: 0)\n\n  xbar = t.sx/t.N \n\n  ybar = t.sy/t.N\n\n  slope = (t.sxy - xbar*ybar*t.N)/(t.sxx - t.N*xbar*xbar)\n\n  intercept = (ybar - slope * xbar)\n\n  y_hat = (r) => ({r with y_hat: slope * r.x + intercept, slope:slope, sx: t.sx, sxy: t.sxy, sxx: t.sxx, N: t.N, sy: t.sy})\n\n  rse = (r) => ({r with errors: (r.y - r.y_hat)^2.0})\n\n  output = renameAndSum\n    |> map(fn: y_hat)\n    |> map(fn: rse)\n    \n  return output\n}",
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