..png)
etable 옵션을 사용하여 STATA에서 테이블을 내보냈습니다. 표를 문서 페이지에 맞게 글꼴 크기를 작게 변경하고 센터링 옵션을 사용했습니다. 그러나 이는 테이블의 전체 서식을 방해합니다. 그것을하는 것의 대안이 있습니까? 저는 table, tabularx, tabulary를 사용해 보았습니다. 그들 중 누구도 작동하지 않는 것 같습니다. 어떤 도움이라도 주시면 감사하겠습니다.
\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
}
답변1
데이터를 R로 내보내고 해당 플러그인 중 하나를 사용하는 것이 더 쉬울 것입니다 kable
(참조:수동) 꽤 괜찮은 테이블을 생성합니다.
문제가 되는 생성된 코드의 문제점은 열이 너무 많아 테이블이 매우 넓어진다는 것입니다. 그렇기 때문에 아주 작은 글꼴을 사용해야 합니다. 다른 문제는 중복된 콘텐츠가 많이 포함되어 있는 코드와 관련이 있습니다.
아래 예에는 주석을 추가하는 두 개의 매크로가 있습니다 \pone
. \ptwo
첫 번째 값을 참조하세요. p < 0.05
한 행을 제외하고 전체 테이블에서 동일한 내용이 보고되는 것을 확인했습니다 . 대신 NOT 을 신고하는 것이 더 쉽지 않을까요 p < 0.05
? 예를 들어, 해당 행에 "단검"을 넣고 그 의미를 설명하는 주석을 달았습니다. 주요 값 사이의 간격을 제어하고 불확실성이 있는 통계를 함께 유지하는 사용자 정의 길이도 있습니다.
코드:
\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}