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我有一张巨大的表格,是用 R 中的 stargazer 包完成的,我无法缩小它的大小,以便适合我的 latex 文档。所有内容都必须放在一页中,我需要此表中的所有信息:
\documentclass{article}
\usepackage[utf8]{inputenc}
\usepackage{graphicx}
\usepackage{amsmath}
\title{Prova de Tópicos em Economia do Trabalho}
\author{Mateus de Almeida Maciel \\ IE/UFRJ}
\begin{document}
\maketitle
\begin{table}[!htbp] \centering
\caption{}
\label{}
\begin{tabular}{@{\extracolsep{5pt}}lc}
\\[-1.8ex]\hline
\hline \\[-1.8ex]
& \multicolumn{1}{c}{\textit{Dependent variable:}} \\
\cline{2-2}
\\[-1.8ex] & Log-Salário \\
\hline \\[-1.8ex]
Intercepto & 0.072$^{***}$ \\
& (0.0004) \\
& \\
Idade & $-$0.001$^{***}$ \\
& (0.00000) \\
& \\
Idade ao quadrado & 0.072$^{***}$ \\
& (0.005) \\
& \\
1 ano de estudo & 0.124$^{***}$ \\
& (0.004) \\
& \\
2 anos de estudo & 0.179$^{***}$ \\
& (0.004) \\
& \\
3 anos de estudo & 0.261$^{***}$ \\
& (0.003) \\
& \\
4 anos de estudo & 0.312$^{***}$ \\
& (0.004) \\
& \\
5 anos de estudo & 0.357$^{***}$ \\
& (0.004) \\
& \\
6 anos de estudo & 0.399$^{***}$ \\
& (0.004) \\
& \\
7 anos de estudo & 0.474$^{***}$ \\
& (0.003) \\
& \\
8 anos de estudo & 0.491$^{***}$ \\
& (0.005) \\
& \\
9 anos de estudo & 0.542$^{***}$ \\
& (0.004) \\
& \\
10 anos de estudo & 0.707$^{***}$ \\
& (0.003) \\
& \\
11 anos de estudo & 0.959$^{***}$ \\
& (0.006) \\
& \\
12 anos de estudo & 1.034$^{***}$ \\
& (0.006) \\
& \\
13 anos de estudo & 1.122$^{***}$ \\
& (0.006) \\
& \\
14 anos de estudo & 1.455$^{***}$ \\
& (0.004) \\
& \\
15 anos de estudo & 1.719$^{***}$ \\
& (0.006) \\
& \\
16 anos de estudo & 2.131$^{***}$ \\
& (0.008) \\
& \\
17 anos de estudo & 0.431$^{***}$ \\
& (0.002) \\
& \\
Homem & $-$0.270$^{***}$ \\
& (0.002) \\
& \\
Posição 2 & $-$0.169$^{***}$ \\
& (0.002) \\
& \\
Posição 3 & $-$0.344$^{***}$ \\
& (0.004) \\
& \\
Setor 1 & $-$0.030$^{***}$ \\
& (0.004) \\
& \\
Setor 2 & $-$0.055$^{***}$ \\
& (0.004) \\
& \\
Setor 3 & $-$0.027$^{***}$ \\
& (0.004) \\
& \\
Setor 4 & $-$0.079$^{***}$ \\
& (0.004) \\
& \\
Setor 5 & $-$0.232$^{***}$ \\
& (0.015) \\
& \\
Alagos & 0.045$^{***}$ \\
& (0.014) \\
& \\
Amazonas & 0.101$^{***}$ \\
& (0.019) \\
& \\
Amapá & $-$0.198$^{***}$ \\
& (0.013) \\
& \\
Bahia & $-$0.346$^{***}$ \\
& (0.014) \\
& \\
Ceará & 0.303$^{***}$ \\
& (0.015) \\
& \\
Distrito Federal & 0.024$^{*}$ \\
& (0.014) \\
& \\
Espírito Santo & 0.077$^{***}$ \\
& (0.014) \\
& \\
Goiás & $-$0.342$^{***}$ \\
& (0.014) \\
& \\
Maranhão & $-$0.003 \\
& (0.013) \\
& \\
Minas Gerais & 0.070$^{***}$ \\
& (0.014) \\
& \\
Mato Grosso do Sul & 0.218$^{***}$ \\
& (0.014) \\
& \\
Mato Grosso & $-$0.063$^{***}$ \\
& (0.014) \\
& \\
Pará & $-$0.321$^{***}$ \\
& (0.014) \\
& \\
Paraíba & $-$0.252$^{***}$ \\
& (0.014) \\
& \\
Pernambuco & $-$0.503$^{***}$ \\
& (0.015) \\
& \\
Piauí & 0.116$^{***}$ \\
& (0.013) \\
& \\
Paraná & 0.118$^{***}$ \\
& (0.013) \\
& \\
Rio de Janeiro & $-$0.251$^{***}$ \\
& (0.014) \\
& \\
Rio Grande do Norte & 0.134$^{***}$ \\
& (0.015) \\
& \\
Rondônia & 0.145$^{***}$ \\
& (0.021) \\
& \\
Roraima & 0.129$^{***}$ \\
& (0.013) \\
& \\
Rio Grande do Sul & 0.237$^{***}$ \\
& (0.014) \\
& \\
Santa Catarina & $-$0.225$^{***}$ \\
& (0.015) \\
& \\
Sergipe & 0.312$^{***}$ \\
& (0.013) \\
& \\
São Paulo & $-$0.079$^{***}$ \\
& (0.016) \\
& \\
Tocantins & 4.446$^{***}$ \\
& (0.015) \\
& \\
\hline \\[-1.8ex]
Observations & 900,000 \\
R$^{2}$ & 0.449 \\
Adjusted R$^{2}$ & 0.449 \\
Residual Std. Error & 13.309 (df = 899946) \\
F Statistic & 13,844.440$^{***}$ (df = 53; 899946) \\
\hline
\hline \\[-1.8ex]
\textit{Note:} & \multicolumn{1}{r}{$^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\
\end{tabular}
\end{table}
\end{document}
答案1
如果您加载geometry
软件包以减少边距,并通过删除垂直空白、缩短标题和允许第一列内容中的留置权中断,您可以将整个表格挤压到单个页面上,前提是您的标题不超过 1 行:
\documentclass{article}
\usepackage[utf8]{inputenc}
\usepackage{graphicx}
\usepackage{amsmath}
\usepackage{geometry}
\usepackage{booktabs}
\usepackage{longtable}
\begin{document}
\begin{table}[!htbp] \centering
\caption{}
\label{}
\begin{tabular}{@{}l@{\quad\quad\quad}l@{}}
\toprule
\begin{tabular}[t]{@{}lc@{}}
& \multicolumn{1}{@{}c@{}}{\textit{Dep. var.:}} \\
\cmidrule{2-2}
& Log-Salário \\
\midrule
Intercepto & 0.072$^{***}$ \\
& (0.0004) \\
Idade & $-$0.001$^{***}$ \\
& (0.00000) \\
Idade ao & 0.072$^{***}$ \\
\quad quadrado & (0.005) \\
1 ano de & 0.124$^{***}$ \\
\quad estudo & (0.004) \\
2 anos de & 0.179$^{***}$ \\
\quad estudo & (0.004) \\
3 anos de & 0.261$^{***}$ \\
\quad estudo & (0.003) \\
4 anos de & 0.312$^{***}$ \\
\quad estudo & (0.004) \\
5 anos de & 0.357$^{***}$ \\
\quad estudo & (0.004) \\
6 anos de & 0.399$^{***}$ \\
\quad estudo & (0.004) \\
7 anos de & 0.474$^{***}$ \\
\quad estudo & (0.003) \\
8 anos de & 0.491$^{***}$ \\
\quad estudo & (0.005) \\
9 anos de & 0.542$^{***}$ \\
\quad estudo & (0.004) \\
10 anos de & 0.707$^{***}$ \\
\quad estudo & (0.003) \\
11 anos de & 0.959$^{***}$ \\
\quad estudo & (0.006) \\
12 anos de & 1.034$^{***}$ \\
\quad estudo & (0.006) \\
13 anos de & 1.122$^{***}$ \\
\quad estudo & (0.006) \\
14 anos de & 1.455$^{***}$ \\
\quad estudo & (0.004) \\
15 anos de & 1.719$^{***}$ \\
\quad estudo & (0.006) \\
16 anos de & 2.131$^{***}$ \\
\quad estudo & (0.008) \\
17 anos de & 0.431$^{***}$ \\
\quad estudo & (0.002) \\
\end{tabular}
&
\begin{tabular}[t]{@{}l@{\quad\quad\quad}l@{}}
\begin{tabular}[t]{@{}lc@{}}
& \multicolumn{1}{@{}c@{}}{\textit{Dep. var.:}} \\
\cmidrule{2-2}
& Log-Salário \\
\midrule
Homem & $-$0.270$^{***}$ \\
& (0.002) \\
Posição 2 & $-$0.169$^{***}$ \\
& (0.002) \\
Posição 3 & $-$0.344$^{***}$ \\
& (0.004) \\
Setor 1 & $-$0.030$^{***}$ \\
& (0.004) \\
Setor 2 & $-$0.055$^{***}$ \\
& (0.004) \\
Setor 3 & $-$0.027$^{***}$ \\
& (0.004) \\
Setor 4 & $-$0.079$^{***}$ \\
& (0.004) \\
Setor 5 & $-$0.232$^{***}$ \\
& (0.015) \\
Alagos & 0.045$^{***}$ \\
& (0.014) \\
Amazonas & 0.101$^{***}$ \\
& (0.019) \\
Amapá & $-$0.198$^{***}$ \\
& (0.013) \\
Bahia & $-$0.346$^{***}$ \\
& (0.014) \\
Ceará & 0.303$^{***}$ \\
& (0.015) \\
Distrito & 0.024$^{*}$ \\
\quad Federal & (0.014) \\
Espírito & 0.077$^{***}$ \\
\quad Santo & (0.014) \\
Goiás & $-$0.342$^{***}$ \\
& (0.014) \\
Maranhão & $-$0.003 \\
& (0.013) \\
\end{tabular}
&
\begin{tabular}[t]{@{}lc@{}}
& \multicolumn{1}{@{}c@{}}{\textit{Dep. var.:}} \\
\cmidrule{2-2}
& Log-Salário \\
\midrule
Minas & 0.070$^{***}$ \\
\quad Gerais & (0.014) \\
Mato Grosso & 0.218$^{***}$ \\
\quad do Sul & (0.014) \\
Mato Grosso & $-$0.063$^{***}$ \\
& (0.014) \\
Pará & $-$0.321$^{***}$ \\
& (0.014) \\
Paraíba & $-$0.252$^{***}$ \\
& (0.014) \\
Pernambuco & $-$0.503$^{***}$ \\
& (0.015) \\
Piauí & 0.116$^{***}$ \\
& (0.013) \\
Paraná & 0.118$^{***}$ \\
& (0.013) \\
Rio de Janeiro & $-$0.251$^{***}$ \\
& (0.014) \\
Rio Grande & 0.134$^{***}$ \\
\quad do Norte & (0.015) \\
Rondônia & 0.145$^{***}$ \\
& (0.021) \\
Roraima & 0.129$^{***}$ \\
& (0.013) \\
Rio Grande & 0.237$^{***}$ \\
\quad do Sul & (0.014) \\
Santa Catarina & $-$0.225$^{***}$ \\
& (0.015) \\
Sergipe & 0.312$^{***}$ \\
& (0.013) \\
São Paulo & $-$0.079$^{***}$ \\
& (0.016) \\
Tocantins & 4.446$^{***}$ \\
& (0.015) \\
\end{tabular}\\
\midrule
\multicolumn{2}{@{}l@{}}{\begin{tabular}{@{}lc@{}}
Observations & 900,000 \\
R$^{2}$ & 0.449 \\
Adjusted R$^{2}$ & 0.449 \\
Residual Std. Error & 13.309 (df = 899946) \\
F Statistic & 13,844.440$^{***}$ (df = 53; 899946) \\
\end{tabular}
}
\\
\midrule
\multicolumn{2}{@{}l@{}}{\textit{Note:} $^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\
\end{tabular}\\
\bottomrule
\end{tabular}
\end{table}
\newpage
\end{document}
如果将值和错误放在同一行,则可以节省更多空间:
\documentclass{article}
\usepackage[utf8]{inputenc}
\usepackage{graphicx}
\usepackage{amsmath}
\usepackage{geometry}
\usepackage{booktabs}
\usepackage{longtable}
\begin{document}
\begin{table}[!htbp] \centering
\caption{}
\label{}
\begin{tabular}{ll}
\toprule
\begin{tabular}[t]{@{}lrl@{}}
& \multicolumn{2}{c}{\textit{Dependent variable:}} \\
\cmidrule{2-3}
& \multicolumn{2}{c}{Log-Salário} \\
\midrule
Intercepto & 0.072$^{***}$ & (0.0004) \\
Idade & $-$0.001$^{***}$ & (0.00000) \\
Idade ao quadrado & 0.072$^{***}$ & (0.005) \\ \addlinespace
1 ano de estudo & 0.124$^{***}$ & (0.004) \\
2 anos de estudo & 0.179$^{***}$ & (0.004) \\
3 anos de estudo & 0.261$^{***}$ & (0.003) \\\addlinespace
4 anos de estudo & 0.312$^{***}$ & (0.004) \\
5 anos de estudo & 0.357$^{***}$ & (0.004) \\
6 anos de estudo & 0.399$^{***}$ & (0.004) \\ \addlinespace
7 anos de estudo & 0.474$^{***}$ & (0.003) \\
8 anos de estudo & 0.491$^{***}$ & (0.005) \\
9 anos de estudo & 0.542$^{***}$ & (0.004) \\\addlinespace
10 anos de estudo & 0.707$^{***}$ & (0.003) \\
11 anos de estudo & 0.959$^{***}$ & (0.006) \\
12 anos de estudo & 1.034$^{***}$ & (0.006) \\ \addlinespace
13 anos de estudo & 1.122$^{***}$ & (0.006) \\
14 anos de estudo & 1.455$^{***}$ & (0.004) \\
15 anos de estudo & 1.719$^{***}$ & (0.006) \\\addlinespace
16 anos de estudo & 2.131$^{***}$ & (0.008) \\
17 anos de estudo & 0.431$^{***}$ & (0.002) \\
Homem & $-$0.270$^{***}$ & (0.002) \\ \addlinespace
Posição 2 & $-$0.169$^{***}$ & (0.002) \\
Posição 3 & $-$0.344$^{***}$ & (0.004) \\
Setor 1 & $-$0.030$^{***}$ & (0.004) \\ \addlinespace
Setor 2 & $-$0.055$^{***}$ & (0.004) \\
Setor 3 & $-$0.027$^{***}$ & (0.004) \\
Setor 4 & $-$0.079$^{***}$ & (0.004) \\ \addlinespace
\end{tabular}
&
\begin{tabular}[t]{@{}lcc@{}}
& \multicolumn{2}{c}{\textit{Dependent variable:}} \\
\cmidrule{2-3}
& \multicolumn{2}{c}{Log-Salário} \\
\midrule
Setor 5 & $-$0.232$^{***}$& (0.015) \\
Alagos & 0.045$^{***}$ & (0.014) \\
Amazonas & 0.101$^{***}$ & (0.019) \\ \addlinespace
Amapá & $-$0.198$^{***}$ & (0.013) \\
Bahia & $-$0.346$^{***}$ & (0.014) \\
Ceará & 0.303$^{***}$ & (0.015) \\ \addlinespace
Distrito Federal & 0.024$^{*}$ & (0.014) \\
Espírito Santo & 0.077$^{***}$ & (0.014) \\
Goiás & $-$0.342$^{***}$ & (0.014) \\ \addlinespace
Maranhão & $-$0.003 & (0.013) \\
Minas Gerais & 0.070$^{***}$ & (0.014) \\
Mato Grosso do Sul & 0.218$^{***}$ & (0.014) \\ \addlinespace
Mato Grosso & $-$0.063$^{***}$ & (0.014) \\
Pará & $-$0.321$^{***}$ & (0.014) \\
Paraíba & $-$0.252$^{***}$ & (0.014) \\ \addlinespace
Pernambuco & $-$0.503$^{***}$ & (0.015) \\
Piauí & 0.116$^{***}$ & (0.013) \\
Paraná & 0.118$^{***}$ & (0.013) \\ \addlinespace
Rio de Janeiro & $-$0.251$^{***}$ & (0.014) \\
Rio Grande do Norte & 0.134$^{***}$ & (0.015) \\
Rondônia & 0.145$^{***}$ & (0.021) \\ \addlinespace
Roraima & 0.129$^{***}$ & (0.013) \\
Rio Grande do Sul & 0.237$^{***}$ & (0.014) \\
Santa Catarina & $-$0.225$^{***}$ & (0.015) \\ \addlinespace
Sergipe & 0.312$^{***}$ & (0.013) \\
São Paulo & $-$0.079$^{***}$ & (0.016) \\
Tocantins & 4.446$^{***}$ & (0.015) \\
\end{tabular}\\
\midrule
\multicolumn{2}{@{}l@{}}{\begin{tabular}{@{}lc@{}}
Observations & 900,000 \\
R$^{2}$ & 0.449 \\
Adjusted R$^{2}$ & 0.449 \\
Residual Std. Error & 13.309 (df = 899946) \\
F Statistic & 13,844.440$^{***}$ (df = 53; 899946) \\
\end{tabular}
}
\\
\midrule
\multicolumn{2}{@{}l@{}}{\textit{Note:} $^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\
\bottomrule
\end{tabular}
\end{table}
\end{document}