chisq.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "e91d0748",
   "metadata": {},
   "source": [
    "## 1. 카이제곱 분포의 그래프"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3fca213f",
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 300,
       "width": 240
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = seq(0,21,length=200)\n",
    "ychi2 = dchisq(x,5)\n",
    "options(repr.plot.width=4, repr.plot.height=5)\n",
    "plot(x,ychi2,type=\"l\")\n",
    "abline(h=0, col=\"#aaaaaa\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "283b3f67",
   "metadata": {},
   "source": [
    "## 2. 이미지 파일\n",
    "\n",
    "![fresh start programming](./OOP.jpg)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "ee75d1b3",
   "metadata": {},
   "source": [
    "## 3. R 코드를 `source()`하여 사용"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "efb81b50",
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11^2 = 121 \n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 300,
       "width": 240
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "source('./util.R')\n",
    "\n",
    "plot(c(1,2),c(1,2),col=myblue,pch=17,cex=3)\n",
    "cat(\"11^2 =\", my_square(11), \"\\n\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "47312add",
   "metadata": {},
   "source": [
    "## 4. 데이터 파일 `read.csv()`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9bf701ce",
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "'data.frame':\t200 obs. of  5 variables:\n",
      " $ X        : int  1 2 3 4 5 6 7 8 9 10 ...\n",
      " $ TV       : num  230.1 44.5 17.2 151.5 180.8 ...\n",
      " $ radio    : num  37.8 39.3 45.9 41.3 10.8 48.9 32.8 19.6 2.1 2.6 ...\n",
      " $ newspaper: num  69.2 45.1 69.3 58.5 58.4 75 23.5 11.6 1 21.2 ...\n",
      " $ sales    : num  22.1 10.4 9.3 18.5 12.9 7.2 11.8 13.2 4.8 10.6 ...\n"
     ]
    }
   ],
   "source": [
    "Advertising = read.csv(\"./Advertising.csv\")\n",
    "str(Advertising)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "R",
   "language": "R",
   "name": "ir"
  },
  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "4.2.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}