shortcuts/notebooks/deno_tinygo_wasm.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Linear Regression Line:\n",
      "\tEstimated offset is:  1.480586\n",
      "\tEstimated slope is:  2.999774\n",
      "\tR^2 is:  0.999991\n"
     ]
    }
   ],
   "source": [
    "import stats from \"https://l12.xyz/x/shortcuts/raw/stat/mod.ts\";\n",
    "\n",
    "const xs = [];\n",
    "const ys = [];\n",
    "\n",
    "for (let i = 0; i < 100; i++) {\n",
    "  xs.push(i);\n",
    "  ys.push((1 + 3 * i) + Math.random());\n",
    "}\n",
    "\n",
    "const linreg = stats.LinearRegression(xs, ys, [], false);\n",
    "const r = stats.RSquared(xs, ys, [], linreg.alpha, linreg.beta);\n",
    "\n",
    "console.log(\"\\nLinear Regression Line:\");\n",
    "console.log(\"\\tEstimated offset is: \", linreg.alpha.toFixed(6));\n",
    "console.log(\"\\tEstimated slope is: \", linreg.beta.toFixed(6));\n",
    "console.log(\"\\tR^2 is: \", r.toFixed(6));"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Deno",
   "language": "typescript",
   "name": "deno"
  },
  "language_info": {
   "codemirror_mode": "typescript",
   "file_extension": ".ts",
   "mimetype": "text/x.typescript",
   "name": "typescript",
   "nbconvert_exporter": "script",
   "pygments_lexer": "typescript",
   "version": "5.6.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}