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mvstats5
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Jupyter.ipynb
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Jupyter.ipynb
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{ "cells": [ { "cell_type": "markdown", "metadata": { "extensions": { "jupyter_dashboards": { "version": 1, "views": { "grid_default": { "hidden": true }, "report_default": {} } } } }, "source": [ "### **多元统计分析及R语言建模（第五版）**\n", "### 本文档是基于Jupyter Notebook编写的\n", "### 建议安装anaconda（https://www.anaconda.com/） \n", "### 修改时间：王斌会 2020.2.1" ] }, { "cell_type": "markdown", "metadata": { "extensions": { "jupyter_dashboards": { "version": 1, "views": { "grid_default": { "hidden": true }, "report_default": {} } } } }, "source": [ "# 1 多元统计分析概述 " ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "extensions": { "jupyter_dashboards": { "version": 1, "views": { "grid_default": { "hidden": true }, "report_default": {} } } } }, "outputs": [], "source": [ "#【输出设置】\n", "#setwd(\"D:/mvstats5\") #设置目录\n", "par(mar=c(4,4,1,1),cex=0.75)" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "extensions": { "jupyter_dashboards": { "version": 1, "views": { "grid_default": { "hidden": true }, "report_default": {} } } } }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "Plot with title \"Histogram of X\"" ] }, "metadata": { "image/png": { "height": 210, "width": 240 } }, "output_type": "display_data" } ], "source": [ "X=rnorm(50); #产生50个标准正态随机数\n", "hist(X,prob=TRUE) #做数据的直方图\n", "lines(density(X),col='red') #添加密度函数曲线 " ] }, { "cell_type": "markdown", "metadata": { "extensions": { "jupyter_dashboards": { "version": 1, "views": { "grid_default": { "hidden": true }, "report_default": {} } } } }, "source": [ "# 2 多元数据的数学表达 " ] }, { "cell_type": "markdown", "metadata": { "extensions": { "jupyter_dashboards": { "version": 1, "views": { "grid_default": { "hidden": true }, "report_default": {} } } } }, "source": [ "## 2.3 数据矩阵及R表示" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "extensions": { "jupyter_dashboards": { "version": 1, "views": { "grid_default": { "hidden": true }, "report_default": {} } } } }, "outputs": [ { "data": { "text/html": [ "12" ], "text/latex": [ "12" ], "text/markdown": [ "12" ], "text/plain": [ "[1] 12" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "<style>\n", ".list-inline {list-style: none; margin:0; padding: 0}\n", ".list-inline>li {display: inline-block}\n", ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n", "</style>\n", "<ol class=list-inline><li>1</li><li>2</li><li>3</li><li>4</li><li>5</li><li>6</li><li>7</li><li>8</li><li>9</li></ol>\n" ], "text/latex": [ "\\begin{enumerate*}\n", "\\item 1\n", "\\item 2\n", "\\item 3\n", "\\item 4\n", "\\item 5\n", "\\item 6\n", "\\item 7\n", "\\item 8\n", "\\item 9\n", "\\end{enumerate*}\n" ], "text/markdown": [ "1. 1\n", "2. 2\n", "3. 3\n", "4. 4\n", "5. 5\n", "6. 6\n", "7. 7\n", "8. 8\n", "9. 9\n", "\n", "\n" ], "text/plain": [ "[1] 1 2 3 4 5 6 7 8 9" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "<style>\n", ".list-inline {list-style: none; margin:0; padding: 0}\n", ".list-inline>li {display: inline-block}\n", ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n", "</style>\n", "<ol class=list-inline><li>1</li><li>3</li><li>6</li><li>5</li><li>4</li><li>9</li></ol>\n" ], "text/latex": [ "\\begin{enumerate*}\n", "\\item 1\n", "\\item 3\n", "\\item 6\n", "\\item 5\n", "\\item 4\n", "\\item 9\n", "\\end{enumerate*}\n" ], "text/markdown": [ "1. 1\n", "2. 3\n", "3. 6\n", "4. 5\n", "5. 4\n", "6. 9\n", "\n", "\n" ], "text/plain": [ "[1] 1 3 6 5 4 9" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#### 创建一个向量\n", "x1=c(171,175,159,155,152,158,154,164,168,166,159,164)\n", "x2=c(57,64,41,38,35,44,41,51,57,49,47,46)\n", "length(x1) #向量的长度\n", "a=1:9; a\n", "b=c(1,3,6:4,9); b" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "extensions": { "jupyter_dashboards": { "version": 1, "views": { "grid_default": { "hidden": true }, "report_default": {} } } } }, "outputs": [ { "data": { "text/html": [ "<table>\n", "<caption>A matrix: 2 × 3 of type dbl</caption>\n", "<tbody>\n", "\t<tr><td>1</td><td>2</td><td>3</td></tr>\n", "\t<tr><td>4</td><td>5</td><td>6</td></tr>\n", "</tbody>\n", "</table>\n" ], "text/latex": [ "A matrix: 2 × 3 of type dbl\n", "\\begin{tabular}{lll}\n", "\t 1 & 2 & 3\\\\\n", "\t 4 & 5 & 6\\\\\n", "\\end{tabular}\n" ], "text/markdown": [ "\n", "A matrix: 2 × 3 of type dbl\n", "\n", "| 1 | 2 | 3 |\n", "| 4 | 5 | 6 |\n", "\n" ], "text/plain": [ " [,1] [,2] [,3]\n", "[1,] 1 2 3 \n", "[2,] 4 5 6 " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "<table>\n", "<caption>A matrix: 3 × 2 of type dbl</caption>\n", "<tbody>\n", "\t<tr><td>1</td><td>4</td></tr>\n", "\t<tr><td>2</td><td>5</td></tr>\n", "\t<tr><td>3</td><td>6</td></tr>\n", "</tbody>\n", "</table>\n" ], "text/latex": [ "A matrix: 3 × 2 of type dbl\n", "\\begin{tabular}{ll}\n", "\t 1 & 4\\\\\n", "\t 2 & 5\\\\\n", "\t 3 & 6\\\\\n", "\\end{tabular}\n" ], "text/markdown": [ "\n", "A matrix: 3 × 2 of type dbl\n", "\n", "| 1 | 4 |\n", "| 2 | 5 |\n", "| 3 | 6 |\n", "\n" ], "text/plain": [ " [,1] [,2]\n", "[1,] 1 4 \n", "[2,] 2 5 \n", "[3,] 3 6 " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "<table>\n", "<caption>A matrix: 3 × 2 of type dbl</caption>\n", "<tbody>\n", "\t<tr><td>1</td><td>4</td></tr>\n", "\t<tr><td>2</td><td>5</td></tr>\n", "\t<tr><td>3</td><td>6</td></tr>\n", "</tbody>\n", "</table>\n" ], "text/latex": [ "A matrix: 3 × 2 of type dbl\n", "\\begin{tabular}{ll}\n", "\t 1 & 4\\\\\n", "\t 2 & 5\\\\\n", "\t 3 & 6\\\\\n", "\\end{tabular}\n" ], "text/markdown": [ "\n", "A matrix: 3 × 2 of type dbl\n", "\n", "| 1 | 4 |\n", "| 2 | 5 |\n", "| 3 | 6 |\n", "\n" ], "text/plain": [ " [,1] [,2]\n", "[1,] 1 4 \n", "[2,] 2 5 \n", "[3,] 3 6 " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "<table>\n", "<caption>A matrix: 2 × 2 of type dbl</caption>\n", "<tbody>\n", "\t<tr><td>2</td><td> 6</td></tr>\n", "\t<tr><td>6</td><td>10</td></tr>\n", "</tbody>\n", "</table>\n" ], "text/latex": [ "A matrix: 2 × 2 of type dbl\n", "\\begin{tabular}{ll}\n", "\t 2 & 6\\\\\n", "\t 6 & 10\\\\\n", "\\end{tabular}\n" ], "text/markdown": [ "\n", "A matrix: 2 × 2 of type dbl\n", "\n", "| 2 | 6 |\n", "| 6 | 10 |\n", "\n" ], "text/plain": [ " [,1] [,2]\n", "[1,] 2 6 \n", "[2,] 6 10 " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "<table>\n", "<caption>A matrix: 2 × 2 of type dbl</caption>\n", "<tbody>\n", "\t<tr><td>14</td><td>32</td></tr>\n", "\t<tr><td>32</td><td>77</td></tr>\n", "</tbody>\n", "</table>\n" ], "text/latex": [ "A matrix: 2 × 2 of type dbl\n", "\\begin{tabular}{ll}\n", "\t 14 & 32\\\\\n", "\t 32 & 77\\\\\n", "\\end{tabular}\n" ], "text/markdown": [ "\n", "A matrix: 2 × 2 of type dbl\n", "\n", "| 14 | 32 |\n", "| 32 | 77 |\n", "\n" ], "text/plain": [ " [,1] [,2]\n", "[1,] 14 32 \n", "[2,] 32 77 " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "A=matrix(c(1,4,2,5,3,6),nrow=2,ncol=3); A #A=matrix(c(1,4,2,5,3,6),2,3); A \n", "B=matrix(c(1,2,3,4,5,6),3,2); B \n", "t(A) #求矩阵转置\n", "A[,1:2]+B[1:2,] #矩阵加法\n", "C=A%*%B;C #矩阵乘法 " ] }, { "cell_type": "markdown", "metadata": { "extensions": { "jupyter_dashboards": { "version": 1, "views": { "grid_default": { "hidden": true }, "report_default": {} } } } }, "source": [ "## 2.4 数据框及R表示" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "extensions": { "jupyter_dashboards": { "version": 1, "views": { "grid_default": { "hidden": true }, "report_default": {} } } } }, "outputs": [ { "data": { "text/html": [ "<table>\n", "<caption>A data.frame: 12 × 2</caption>\n", "<thead>\n", "\t<tr><th scope=col>身高</th><th scope=col>体重</th></tr>\n", "\t<tr><th scope=col><dbl></th><th scope=col><dbl></th></tr>\n", "</thead>\n", "<tbody>\n", "\t<tr><td>171</td><td>57</td></tr>\n", "\t<tr><td>175</td><td>64</td></tr>\n", "\t<tr><td>159</td><td>41</td></tr>\n", "\t<tr><td>155</td><td>38</td></tr>\n", "\t<tr><td>152</td><td>35</td></tr>\n", "\t<tr><td>158</td><td>44</td></tr>\n", "\t<tr><td>154</td><td>41</td></tr>\n", "\t<tr><td>164</td><td>51</td></tr>\n", "\t<tr><td>168</td><td>57</td></tr>\n", "\t<tr><td>166</td><td>49</td></tr>\n", "\t<tr><td>159</td><td>47</td></tr>\n", "\t<tr><td>164</td><td>46</td></tr>\n", "</tbody>\n", "</table>\n" ], "text/latex": [ "A data.frame: 12 × 2\n", "\\begin{tabular}{ll}\n", " 身高 & 体重\\\\\n", " <dbl> & <dbl>\\\\\n", "\\hline\n", "\t 171 & 57\\\\\n", "\t 175 & 64\\\\\n", "\t 159 & 41\\\\\n", "\t 155 & 38\\\\\n", "\t 152 & 35\\\\\n", "\t 158 & 44\\\\\n", "\t 154 & 41\\\\\n", "\t 164 & 51\\\\\n", "\t 168 & 57\\\\\n", "\t 166 & 49\\\\\n", "\t 159 & 47\\\\\n", "\t 164 & 46\\\\\n", "\\end{tabular}\n" ], "text/markdown": [ "\n", "A data.frame: 12 × 2\n", "\n", "| 身高 <dbl> | 体重 <dbl> |\n", "|---|---|\n", "| 171 | 57 |\n", "| 175 | 64 |\n", "| 159 | 41 |\n", "| 155 | 38 |\n", "| 152 | 35 |\n", "| 158 | 44 |\n", "| 154 | 41 |\n", "| 164 | 51 |\n", "| 168 | 57 |\n", "| 166 | 49 |\n", "| 159 | 47 |\n", "| 164 | 46 |\n", "\n" ], "text/plain": [ " 身高 体重\n", "1 171 57 \n", "2 175 64 \n", "3 159 41 \n", "4 155 38 \n", "5 152 35 \n", "6 158 44 \n", "7 154 41 \n", "8 164 51 \n", "9 168 57 \n", "10 166 49 \n", "11 159 47 \n", "12 164 46 " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "X=data.frame(x1,x2); #产生由X1和X2构建的数据框\n", "Y=data.frame('身高'=x1,'体重'=x2);Y #赋予数据框新的列标签" ] }, { "cell_type": "markdown", "metadata": { "extensions": { "jupyter_dashboards": { "version": 1, "views": { "grid_default": { "hidden": true }, "report_default": {} } } } }, "source": [ "## 2.5 多元数据的R调用 " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 方法一、复制拷贝（最方便）" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "extensions": { "jupyter_dashboards": { "version": 1, "views": { "grid_default": { "hidden": true }, "report_default": {} } } } }, "outputs": [ { "data": { "text/html": [ "<table>\n", "<caption>A data.frame: 5 × 7</caption>\n", "<thead>\n", "\t<tr><th scope=col>年龄</th><th scope=col>性别</th><th scope=col>风险意识</th><th scope=col>专兼职情况</th><th scope=col>职业状况</th><th scope=col>教育程度</th><th scope=col>投资结果</th></tr>\n", "\t<tr><th scope=col><fct></th><th scope=col><fct></th><th scope=col><fct></th><th scope=col><fct></th><th scope=col><fct></th><th scope=col><fct></th><th scope=col><fct></th></tr>\n", "</thead>\n", "<tbody>\n", "\t<tr><td>20-29</td><td>男</td><td>有</td><td>兼职</td><td>金融</td><td>高中</td><td>赚钱</td></tr>\n", "\t<tr><td>50-59</td><td>女</td><td>有</td><td>兼职</td><td>科教</td><td>中学</td><td>持平</td></tr>\n", "\t<tr><td>40-49</td><td>女</td><td>无</td><td>专职</td><td>科教</td><td>中学</td><td>赔钱</td></tr>\n", "\t<tr><td>30-39</td><td>男</td><td>有</td><td>兼职</td><td>工人</td><td>中专</td><td>赚钱</td></tr>\n", "\t<tr><td>50-59</td><td>女</td><td>有</td><td>专职</td><td>农民</td><td>大专</td><td>赚钱</td></tr>\n", "</tbody>\n", "</table>\n" ], "text/latex": [ "A data.frame: 5 × 7\n", "\\begin{tabular}{lllllll}\n", " 年龄 & 性别 & 风险意识 & 专兼职情况 & 职业状况 & 教育程度 & 投资结果\\\\\n", " <fct> & <fct> & <fct> & <fct> & <fct> & <fct> & <fct>\\\\\n", "\\hline\n", "\t 20-29 & 男 & 有 & 兼职 & 金融 & 高中 & 赚钱\\\\\n", "\t 50-59 & 女 & 有 & 兼职 & 科教 & 中学 & 持平\\\\\n", "\t 40-49 & 女 & 无 & 专职 & 科教 & 中学 & 赔钱\\\\\n", "\t 30-39 & 男 & 有 & 兼职 & 工人 & 中专 & 赚钱\\\\\n", "\t 50-59 & 女 & 有 & 专职 & 农民 & 大专 & 赚钱\\\\\n", "\\end{tabular}\n" ], "text/markdown": [ "\n", "A data.frame: 5 × 7\n", "\n", "| 年龄 <fct> | 性别 <fct> | 风险意识 <fct> | 专兼职情况 <fct> | 职业状况 <fct> | 教育程度 <fct> | 投资结果 <fct> |\n", "|---|---|---|---|---|---|---|\n", "| 20-29 | 男 | 有 | 兼职 | 金融 | 高中 | 赚钱 |\n", "| 50-59 | 女 | 有 | 兼职 | 科教 | 中学 | 持平 |\n", "| 40-49 | 女 | 无 | 专职 | 科教 | 中学 | 赔钱 |\n", "| 30-39 | 男 | 有 | 兼职 | 工人 | 中专 | 赚钱 |\n", "| 50-59 | 女 | 有 | 专职 | 农民 | 大专 | 赚钱 |\n", "\n" ], "text/plain": [ " 年龄 性别 风险意识 专兼职情况 职业状况 教育程度 投资结果\n", "1 20-29 男 有 兼职 金融 高中 赚钱 \n", "2 50-59 女 有 兼职 科教 中学 持平 \n", "3 40-49 女 无 专职 科教 中学 赔钱 \n", "4 30-39 男 有 兼职 工人 中专 赚钱 \n", "5 50-59 女 有 专职 农民 大专 赚钱 " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#在Excel文件mvstats5.xlsx的表单d2.1中选择A1:G6，并复制到剪切板\n", "dat=read.table(\"clipboard\",header=T);dat #将剪切板数据读入数据框dat中" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 方法二、csv逗号文本格式（最通用）" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "<table>\n", "<caption>A data.frame: 6 × 7</caption>\n", "<thead>\n", "\t<tr><th></th><th scope=col>年龄</th><th scope=col>性别</th><th scope=col>风险意识</th><th scope=col>专兼职情况</th><th scope=col>职业状况</th><th scope=col>教育程度</th><th scope=col>投资结果</th></tr>\n", "\t<tr><th></th><th scope=col><fct></th><th scope=col><fct></th><th scope=col><fct></th><th scope=col><fct></th><th scope=col><fct></th><th scope=col><fct></th><th scope=col><fct></th></tr>\n", "</thead>\n", "<tbody>\n", "\t<tr><th scope=row>1</th><td>20-29</td><td>男</td><td>有</td><td>兼职</td><td>金融</td><td>高中</td><td>赚钱</td></tr>\n", "\t<tr><th scope=row>2</th><td>50-59</td><td>女</td><td>有</td><td>兼职</td><td>科教</td><td>中学</td><td>持平</td></tr>\n", "\t<tr><th scope=row>3</th><td>40-49</td><td>女</td><td>无</td><td>专职</td><td>科教</td><td>中学</td><td>赔钱</td></tr>\n", "\t<tr><th scope=row>4</th><td>30-39</td><td>男</td><td>有</td><td>兼职</td><td>工人</td><td>中专</td><td>赚钱</td></tr>\n", "\t<tr><th scope=row>5</th><td>50-59</td><td>女</td><td>有</td><td>专职</td><td>农民</td><td>大专</td><td>赚钱</td></tr>\n", "\t<tr><th scope=row>6</th><td>40-49</td><td>女</td><td>有</td><td>兼职</td><td>管理</td><td>小学</td><td>赚钱</td></tr>\n", "</tbody>\n", "</table>\n" ], "text/latex": [ "A data.frame: 6 × 7\n", "\\begin{tabular}{r|lllllll}\n", " & 年龄 & 性别 & 风险意识 & 专兼职情况 & 职业状况 & 教育程度 & 投资结果\\\\\n", " & <fct> & <fct> & <fct> & <fct> & <fct> & <fct> & <fct>\\\\\n", "\\hline\n", "\t1 & 20-29 & 男 & 有 & 兼职 & 金融 & 高中 & 赚钱\\\\\n", "\t2 & 50-59 & 女 & 有 & 兼职 & 科教 & 中学 & 持平\\\\\n", "\t3 & 40-49 & 女 & 无 & 专职 & 科教 & 中学 & 赔钱\\\\\n", "\t4 & 30-39 & 男 & 有 & 兼职 & 工人 & 中专 & 赚钱\\\\\n", "\t5 & 50-59 & 女 & 有 & 专职 & 农民 & 大专 & 赚钱\\\\\n", "\t6 & 40-49 & 女 & 有 & 兼职 & 管理 & 小学 & 赚钱\\\\\n", "\\end{tabular}\n" ], "text/markdown": [ "\n", "A data.frame: 6 × 7\n", "\n", "| <!--/--> | 年龄 <fct> | 性别 <fct> | 风险意识 <fct> | 专兼职情况 <fct> | 职业状况 <fct> | 教育程度 <fct> | 投资结果 <fct> |\n", "|---|---|---|---|---|---|---|---|\n", "| 1 | 20-29 | 男 | 有 | 兼职 | 金融 | 高中 | 赚钱 |\n", "| 2 | 50-59 | 女 | 有 | 兼职 | 科教 | 中学 | 持平 |\n", "| 3 | 40-49 | 女 | 无 | 专职 | 科教 | 中学 | 赔钱 |\n", "| 4 | 30-39 | 男 | 有 | 兼职 | 工人 | 中专 | 赚钱 |\n", "| 5 | 50-59 | 女 | 有 | 专职 | 农民 | 大专 | 赚钱 |\n", "| 6 | 40-49 | 女 | 有 | 兼职 | 管理 | 小学 | 赚钱 |\n", "\n" ], "text/plain": [ " 年龄 性别 风险意识 专兼职情况 职业状况 教育程度 投资结果\n", "1 20-29 男 有 兼职 金融 高中 赚钱 \n", "2 50-59 女 有 兼职 科教 中学 持平 \n", "3 40-49 女 无 专职 科教 中学 赔钱 \n", "4 30-39 男 有 兼职 工人 中专 赚钱 \n", "5 50-59 女 有 专职 农民 大专 赚钱 \n", "6 40-49 女 有 兼职 管理 小学 赚钱 " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "dat=read.csv('d2.1.csv') #d2.1.csv数据读入数据框dat中\n", "head(dat)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 方法三、excel格式数据（最全面）" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Warning message:\n", "\"package 'openxlsx' was built under R version 3.6.2\"\n" ] }, { "data": { "text/html": [ "<table>\n", "<caption>A data.frame: 6 × 7</caption>\n", "<thead>\n", "\t<tr><th></th><th scope=col>年龄</th><th scope=col>性别</th><th scope=col>风险意识</th><th scope=col>专兼职情况</th><th scope=col>职业状况</th><th scope=col>教育程度</th><th scope=col>投资结果</th></tr>\n", "\t<tr><th></th><th scope=col><chr></th><th scope=col><chr></th><th scope=col><chr></th><th scope=col><chr></th><th scope=col><chr></th><th scope=col><chr></th><th scope=col><chr></th></tr>\n", "</thead>\n", "<tbody>\n", "\t<tr><th scope=row>1</th><td>20-29</td><td>男</td><td>有</td><td>兼职</td><td>金融</td><td>高中</td><td>赚钱</td></tr>\n", "\t<tr><th scope=row>2</th><td>50-59</td><td>女</td><td>有</td><td>兼职</td><td>科教</td><td>中学</td><td>持平</td></tr>\n", "\t<tr><th scope=row>3</th><td>40-49</td><td>女</td><td>无</td><td>专职</td><td>科教</td><td>中学</td><td>赔钱</td></tr>\n", "\t<tr><th scope=row>4</th><td>30-39</td><td>男</td><td>有</td><td>兼职</td><td>工人</td><td>中专</td><td>赚钱</td></tr>\n", "\t<tr><th scope=row>5</th><td>50-59</td><td>女</td><td>有</td><td>专职</td><td>农民</td><td>大专</td><td>赚钱</td></tr>\n", "\t<tr><th scope=row>6</th><td>40-49</td><td>女</td><td>有</td><td>兼职</td><td>管理</td><td>小学</td><td>赚钱</td></tr>\n", "</tbody>\n", "</table>\n" ], "text/latex": [ "A data.frame: 6 × 7\n", "\\begin{tabular}{r|lllllll}\n", " & 年龄 & 性别 & 风险意识 & 专兼职情况 & 职业状况 & 教育程度 & 投资结果\\\\\n", " & <chr> & <chr> & <chr> & <chr> & <chr> & <chr> & <chr>\\\\\n", "\\hline\n", "\t1 & 20-29 & 男 & 有 & 兼职 & 金融 & 高中 & 赚钱\\\\\n", "\t2 & 50-59 & 女 & 有 & 兼职 & 科教 & 中学 & 持平\\\\\n", "\t3 & 40-49 & 女 & 无 & 专职 & 科教 & 中学 & 赔钱\\\\\n", "\t4 & 30-39 & 男 & 有 & 兼职 & 工人 & 中专 & 赚钱\\\\\n", "\t5 & 50-59 & 女 & 有 & 专职 & 农民 & 大专 & 赚钱\\\\\n", "\t6 & 40-49 & 女 & 有 & 兼职 & 管理 & 小学 & 赚钱\\\\\n", "\\end{tabular}\n" ], "text/markdown": [ "\n", "A data.frame: 6 × 7\n", "\n", "| <!--/--> | 年龄 <chr> | 性别 <chr> | 风险意识 <chr> | 专兼职情况 <chr> | 职业状况 <chr> | 教育程度 <chr> | 投资结果 <chr> |\n", "|---|---|---|---|---|---|---|---|\n", "| 1 | 20-29 | 男 | 有 | 兼职 | 金融 | 高中 | 赚钱 |\n", "| 2 | 50-59 | 女 | 有 | 兼职 | 科教 | 中学 | 持平 |\n", "| 3 | 40-49 | 女 | 无 | 专职 | 科教 | 中学 | 赔钱 |\n", "| 4 | 30-39 | 男 | 有 | 兼职 | 工人 | 中专 | 赚钱 |\n", "| 5 | 50-59 | 女 | 有 | 专职 | 农民 | 大专 | 赚钱 |\n", "| 6 | 40-49 | 女 | 有 | 兼职 | 管理 | 小学 | 赚钱 |\n", "\n" ], "text/plain": [ " 年龄 性别 风险意识 专兼职情况 职业状况 教育程度 投资结果\n", "1 20-29 男 有 兼职 金融 高中 赚钱 \n", "2 50-59 女 有 兼职 科教 中学 持平 \n", "3 40-49 女 无 专职 科教 中学 赔钱 \n", "4 30-39 男 有 兼职 工人 中专 赚钱 \n", "5 50-59 女 有 专职 农民 大专 赚钱 \n", "6 40-49 女 有 兼职 管理 小学 赚钱 " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#library(readxl) #加载包readxl, 需先安装包, install.packages('readxl') \n", "#d2.1=read_excel('mvstats5.xlsx',sheet='d2.1') #读取mvstats5.xlsx表格d2.2数据\n", "library(openxlsx) # 加载包openxlsx，需先安装：install.packages('openxlsx') \n", "d2.1=read.xlsx('mvstats5.xlsx','d2.1') #读取mvstats5.xlsx表格d2.1数据\n", "head(d2.1)" ] }, { "cell_type": "markdown", "metadata": { "extensions": { "jupyter_dashboards": { "version": 1, "views": { "grid_default": { "hidden": true }, "report_default": {} } } } }, "source": [ "## 2.6 多元数据简单R分析 " ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "extensions": { "jupyter_dashboards": { "version": 1, "views": { "grid_default": { "hidden": true }, "report_default": {} } } } }, "outputs": [ { "data": { "text/plain": [ "年龄\n", " * 0-19 20-29 30-39 40-49 50-59 60- \n", " 20 3 92 167 157 51 24 " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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"text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 210, "width": 240 } }, "output_type": "display_data" }, { "data": { "text/plain": [ " 性别\n", "年龄 男 女\n", " * 9 11\n", " 0-19 2 1\n", " 20-29 69 23\n", " 30-39 101 66\n", " 40-49 89 68\n", " 50-59 24 27\n", " 60- 15 9" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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"text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 210, "width": 240 } }, "output_type": "display_data" }, { "data": { "image/png": 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"text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 210, "width": 240 } }, "output_type": "display_data" }, { "data": { "text/plain": [ " 投资结果 持平 赔钱 赚钱\n", "年龄 性别 \n", "* 男 4 3 2\n", " 女 3 7 1\n", "0-19 男 0 0 2\n", " 女 1 0 0\n", "20-29 男 21 17 31\n", " 女 10 7 6\n", "30-39 男 31 30 40\n", " 女 30 20 16\n", "40-49 男 31 30 28\n", " 女 25 30 13\n", "50-59 男 5 11 8\n", " 女 8 10 9\n", "60- 男 7 5 3\n", " 女 2 5 2" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ " 投资结果 持平 赔钱 赚钱\n", "性别 年龄 \n", "男 * 4 3 2\n", " 0-19 0 0 2\n", " 20-29 21 17 31\n", " 30-39 31 30 40\n", " 40-49 31 30 28\n", " 50-59 5 11 8\n", " 60- 7 5 3\n", "女 * 3 7 1\n", " 0-19 1 0 0\n", " 20-29 10 7 6\n", " 30-39 30 20 16\n", " 40-49 25 30 13\n", " 50-59 8 10 9\n", " 60- 2 5 2" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ " 年龄 * 0-19 20-29 30-39 40-49 50-59 60-\n", "性别 投资结果 \n", "男 持平 4 0 21 31 31 5 7\n", " 赔钱 3 0 17 30 30 11 5\n", " 赚钱 2 2 31 40 28 8 3\n", "女 持平 3 1 10 30 25 8 2\n", " 赔钱 7 0 7 20 30 10 5\n", " 赚钱 1 0 6 16 13 9 2" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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"text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 210, "width": 240 } }, "output_type": "display_data" } ], "source": [ "attach(d2.1) #绑定数据\n", " table(年龄) #一维列联表\n", " barplot(table(年龄),col=1:7)#条形图\n", " pie(table(投资结果))#饼图\n", " table(年龄,性别) #二维列联表\n", " barplot(table(年龄,性别),beside=T,col=1:7)#以性别分组的年龄条图\n", " barplot(table(性别,年龄),beside=T,col=1:2)#以年龄分组的性别条图\n", " ftable(年龄,性别,投资结果) #以年龄、性别排列的结果频数三维列联表\n", " ftable(性别,年龄,投资结果)#以性别、年龄排列的结果频数三维列联表\n", " (ft=ftable(性别,投资结果,年龄))#显示以性别、结果排列的年龄频数三维列联表\n", "detach(d2.1) #解除数据绑定" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "extensions": { "jupyter_dashboards": { "version": 1, "views": { "grid_default": { "hidden": true }, "report_default": {} } } } }, "outputs": [], "source": [] } ], "metadata": { "extensions": { "jupyter_dashboards": { "activeView": "grid_default", "version": 1, "views": { "grid_default": { "cellMargin": 10, "defaultCellHeight": 20, "maxColumns": 12, "name": "grid", "type": "grid" }, "report_default": { "name": "report", "type": "report" } } } }, "hide_input": false, "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": "3.6.1" }, "toc": { "base_numbering": 1, "nav_menu": { "height": "236px", "width": "358px" }, "number_sections": false, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": false, "toc_position": { "height": "281px", "left": "907px", "top": "137.667px", "width": "221px" }, "toc_section_display": true, "toc_window_display": true }, "varInspector": { "cols": { "lenName": 16, "lenType": 16, "lenVar": 40 }, "kernels_config": { "python": { "delete_cmd_postfix": "", "delete_cmd_prefix": "del ", "library": "var_list.py", "varRefreshCmd": "print(var_dic_list())" }, "r": { "delete_cmd_postfix": ") ", "delete_cmd_prefix": "rm(", "library": "var_list.r", "varRefreshCmd": "cat(var_dic_list()) " } }, "position": { "height": "144px", "left": "916px", "right": "20px", "top": "573px", "width": "350px" }, "types_to_exclude": [ "module", "function", "builtin_function_or_method", "instance", "_Feature" ], "window_display": false } }, "nbformat": 4, "nbformat_minor": 4 }
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《多元统计分析及R语言建模》（第5版）
spread
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http://rstat.leanote.com/cate/└─多元统计分析
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http://rstat.leanote.com/cate/└─多元统计分析
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