.png)
Exportei uma tabela do STATA usando a opção etable. Alterei o tamanho da fonte para minúsculo para ajustar a tabela à página do documento e usei a opção centralização. Porém, atrapalha toda a formatação da tabela. Existe uma alternativa para fazer isso? Eu tentei usar a tabela, tabularx e tabular. Nenhum deles parece funcionar. Qualquer ajuda seria apreciada
\tiny
\centering
\begin{tabular}{lllllllllll}
\cline{1-11}
\multicolumn{1}{r}{} &
\multicolumn{2}{c}{Excellent} &
\multicolumn{2}{c}{V.Good} &
\multicolumn{2}{c}{Good} &
\multicolumn{2}{c}{Fair} &
\multicolumn{2}{c}{Poor} \\
\multicolumn{1}{r}{} &
\multicolumn{1}{r}{} &
\multicolumn{1}{r}{} &
\multicolumn{1}{r}{} &
\multicolumn{1}{r}{} &
\multicolumn{1}{r}{} &
\multicolumn{1}{r}{} &
\multicolumn{1}{r}{} &
\multicolumn{1}{r}{} &
\multicolumn{1}{r}{} &
\multicolumn{1}{r}{} \\
\cline{1-11}
\multicolumn{1}{l}{Prior heart attack} &
\multicolumn{1}{r}{-0.301} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{-0.057} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.153} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.137} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.069} &
\multicolumn{1}{l}{**} \\
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.023)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.006)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.012)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.010)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.006)} &
\multicolumn{1}{l}{} \\
\multicolumn{1}{l}{Number of people in household} &
\multicolumn{1}{r}{-0.008} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{-0.001} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.004} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.004} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.002} &
\multicolumn{1}{l}{**} \\
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.003)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.000)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.001)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.001)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.001)} &
\multicolumn{1}{l}{} \\
\multicolumn{1}{l}{Body mass index (BMI)} &
\multicolumn{1}{r}{-0.006} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{-0.001} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.003} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.003} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.001} &
\multicolumn{1}{l}{**} \\
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.001)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.000)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.000)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.000)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.000)} &
\multicolumn{1}{l}{} \\
\multicolumn{1}{l}{Diabetes status} &
\multicolumn{1}{r}{-0.235} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{-0.044} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.119} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.107} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.054} &
\multicolumn{1}{l}{**} \\
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.022)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.005)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.012)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.010)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.005)} &
\multicolumn{1}{l}{} \\
\multicolumn{1}{l}{30-39} &
\multicolumn{1}{r}{-0.024} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{0.001} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{0.013} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{0.007} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{0.003} &
\multicolumn{1}{l}{} \\
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.014)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.001)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.008)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.004)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.002)} &
\multicolumn{1}{l}{} \\
\multicolumn{1}{l}{40-49} &
\multicolumn{1}{r}{-0.098} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{-0.007} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.057} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.035} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.014} &
\multicolumn{1}{l}{**} \\
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.015)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.003)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.009)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.006)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.002)} &
\multicolumn{1}{l}{} \\
\multicolumn{1}{l}{50-59} &
\multicolumn{1}{r}{-0.185} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{-0.043} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.106} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.086} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.036} &
\multicolumn{1}{l}{**} \\
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.012)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.006)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.007)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.007)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.003)} &
\multicolumn{1}{l}{} \\
\multicolumn{1}{l}{60-69} &
\multicolumn{1}{r}{-0.237} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{-0.084} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.125} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.133} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.063} &
\multicolumn{1}{l}{**} \\
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.010)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.006)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.006)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.007)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.004)} &
\multicolumn{1}{l}{} \\
\multicolumn{1}{l}{70+} &
\multicolumn{1}{r}{-0.248} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{-0.096} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.127} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.146} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.071} &
\multicolumn{1}{l}{**} \\
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.012)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.009)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.006)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.011)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.007)} &
\multicolumn{1}{l}{} \\
\multicolumn{1}{l}{Black} &
\multicolumn{1}{r}{-0.165} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{-0.031} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.083} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.075} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.037} &
\multicolumn{1}{l}{**} \\
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.013)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.003)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.007)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.006)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.003)} &
\multicolumn{1}{l}{} \\
\multicolumn{1}{l}{Female} &
\multicolumn{1}{r}{-0.039} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{-0.007} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.020} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.018} &
\multicolumn{1}{l}{**} &
\multicolumn{1}{r}{0.009} &
\multicolumn{1}{l}{**} \\
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.008)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.002)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.004)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.004)} &
\multicolumn{1}{l}{} &
\multicolumn{1}{r}{(0.002)} &
\multicolumn{1}{l}{} \\
\cline{1-11}
\end{tabular}
\footnotesize{
** p$<$.01, * p$<$.05
}
Responder1
Seria mais fácil exportar dados para R e usar um de seus plugins kable
(veja omanual), que produz tabelas bastante decentes.
O problema do código gerado em questão é o excesso de colunas tornando a tabela muito larga. É por isso que você deve usar uma fonte muito pequena para caber. A outra questão está relacionada ao código, pois contém muito conteúdo redundante.
No exemplo abaixo, existem duas macros \pone
e \ptwo
que adicionam anotações – veja o primeiro valor. Percebi que o mesmo p < 0.05
é relatado em toda a tabela, exceto em uma linha. Não seria mais fácil relatar o que é NOT p < 0.05
? Como exemplo, coloquei uma “adaga” nessa linha e uma anotação que explica seu significado. Há também um comprimento personalizado que controla o espaçamento entre os valores principais e mantém as estatísticas com incertezas juntas.
O código:
\documentclass{article}
\usepackage{array}
\usepackage{booktabs}
\newcommand\pone{\rlap{\textsuperscript{*}}}
\newcommand\ptwo{\rlap{\textsuperscript{**}}}
\newlength\vdist\setlength\vdist{4pt}
\setlength\cmidrulewidth{0.3pt}
\begin{document}
\begin{table}[tbh]
\setlength\tabcolsep{9pt}
\newcommand\xth[1]{\makebox[0pt][c]{\normalsize#1}}
%
\small
\centering
\caption{Caption}\label{tab:label-for-table}
\vspace{3pt}
\begin{tabular}{@{}l @{\hspace{2em}} *5{c} @{}}
\toprule
& \xth{Excellent} & \xth{V. Good} & \xth{Good} & \xth{Fair} & \xth{Poor} \\
\midrule
Prior heart attack
& -0.301\ptwo & -0.057 & 0.153 & 0.137 & 0.069 \\
& (0.023) & (0.006) & (0.012) & (0.010) & (0.006) \\ \addlinespace[\vdist]
Number of people in
& -0.008 & -0.001 & 0.004 & 0.004 & 0.002 \\
household & (0.003) & (0.000) & (0.001) & (0.001) & (0.001) \\ \addlinespace[\vdist]
Body mass index (BMI)
& -0.006 & -0.001 & 0.003 & 0.003 & 0.001 \\
& (0.001) & (0.000) & (0.000) & (0.000) & (0.000) \\ \addlinespace[\vdist]
Diabetes status
& -0.235 & -0.044 & 0.119 & 0.107 & 0.054 \\
& (0.022) & (0.005) & (0.012) & (0.010) & (0.005) \\ \cmidrule{2-6}
30-39$^{\dag}$
& -0.024 & 0.001 & 0.013 & 0.007 & 0.003 \\
& (0.014) & (0.001) & (0.008) & (0.004) & (0.002) \\ \addlinespace[\vdist]
40-49
& -0.098 & -0.007 & 0.057 & 0.035 & 0.014 \\
& (0.015) & (0.003) & (0.009) & (0.006) & (0.002) \\ \addlinespace[\vdist]
50-59
& -0.185 & -0.043 & 0.106 & 0.086 & 0.036 \\
& (0.012) & (0.006) & (0.007) & (0.007) & (0.003) \\ \addlinespace[\vdist]
60-69
& -0.237 & -0.084 & 0.125 & 0.133 & 0.063 \\
& (0.010) & (0.006) & (0.006) & (0.007) & (0.004) \\ \addlinespace[\vdist]
70+
& -0.248 & -0.096 & 0.127 & 0.146 & 0.071 \\
& (0.012) & (0.009) & (0.006) & (0.011) & (0.007) \\ \cmidrule{2-6}
Black
& -0.165 & -0.031 & 0.083 & 0.075 & 0.037 \\
& (0.013) & (0.003) & (0.007) & (0.006) & (0.003) \\ \addlinespace[\vdist]
Female
& -0.039 & -0.007 & 0.020 & 0.018 & 0.009 \\
& (0.008) & (0.002) & (0.004) & (0.004) & (0.002) \\
\bottomrule
\multicolumn{6}{@{}l}{\footnotesize $^{\dag}$ $p < 0.05$ except for this row}\\
\end{tabular}
\end{table}
\end{document}