我在 tabularx 环境中遇到了自动文本换行的问题。
我遇到了问题
\gmc{14}{l}{Characteristic 1: Cross-sectional overlap
in month-over-month regional real estate price changes
(Spearman/Pearson correlations below/above the diagonal)}
请帮忙。谢谢！
\documentclass[11pt]{article}
\usepackage{setspace,amssymb,amsmath}
\usepackage[tablename=TABLE,labelsep=newline,
aboveskip=0pt,font=bf,justification=centering]{caption}
\usepackage{booktabs,tabularx}
\usepackage[margin=1in]{geometry}
\usepackage[autostyle]{csquotes}
\usepackage[table]{xcolor}
\newcolumntype{Y}{>{\centering\arraybackslash}X}
\newcommand{\gmc}[3]{\multicolumn{#1}{@{}#2@{}}{#3}}
\doublespacing
\begin{document}
\newpage
\begingroup % keep any font size changes local to group
%\setlength\tabcolsep{2pt} % default value: 6pt
\captionof{table}{U.S. Corporate Employees and the Supply of Real Estate Properties Available for Sale}
\singlespacing
\footnotesize
\begin{tabularx}{\textwidth}{@{}l YYYYYYYYYYYYY@{}}
\toprule
\gmc{14}{l}{Characteristic 1: Cross-sectional overlap in month-over-month regional real estate price changes (Spearman/Pearson correlations below/above the diagonal)} \\\hline
&& region1 & region2& region3& region4& region5& region6& region7& region8& region9& region10& region11& region12 \\\cline{3-14}
region1& DC-Washington& 1.000& 0.585& 0.684& 0.592& 0.782& 0.777& 0.490& 0.695& 0.696& 0.527& 0.559& 0.632 \\
region2& MI-Detroit& 0.526& 1.000& 0.796& 0.504& 0.512& 0.561& 0.569& 0.791& 0.636& 0.475& 0.570& 0.502 \\
region3& MN-Minneapolis& 0.665& 0.649& 1.000& 0.597& 0.592& 0.642& 0.669& 0.804& 0.692& 0.510& 0.579& 0.544\\
region4& OH-Cleveland& 0.571& 0.487& 0.517& 1.000& 0.444& 0.572& 0.661& 0.645& 0.597& 0.571& 0.604& 0.581\\
region5& CA-San Diego& 0.766& 0.479& 0.583& 0.435& 1.000& 0.771& 0.473& 0.500& 0.533& 0.415& 0.441& 0.590\\
region6& CA-San Francisco& 0.754& 0.486& 0.531& 0.511& 0.754& 1.000& 0.525& 0.611& 0.595& 0.506& 0.544& 0.699\\
region7& CO-Denver& 0.386& 0.521& 0.606& 0.594& 0.380& 0.352& 1.000& 0.536& 0.512& 0.525& 0.521& 0.622\\
region8& IL-Chicago& 0.724& 0.622& 0.694& 0.600& 0.509& 0.548& 0.396& 1.000& 0.646& 0.584& 0.590& 0.642\\
region9& MA-Boston& 0.683& 0.634& 0.704& 0.578& 0.546& 0.584& 0.508& 0.617& 1.000& 0.490& 0.425& 0.522\\
region10& NC-Charlotte& 0.444& 0.349& 0.356& 0.524& 0.313& 0.380& 0.424& 0.481& 0.462& 1.000& 0.596& 0.648\\
region11& OR-Portland& 0.446& 0.421& 0.379& 0.559& 0.320& 0.371& 0.404& 0.461& 0.338& 0.489& 1.000& 0.720\\
region12& WA-Seattle& 0.639& 0.373& 0.459& 0.607& 0.581& 0.664& 0.558& 0.596& 0.535& 0.573& 0.629& 1.000\\
region13& AZ-Phoenix& 0.600& 0.441& 0.493& 0.313& 0.577& 0.587& 0.380& 0.489& 0.499& 0.371& 0.427& 0.518\\
region14& CA-Los Angeles& 0.802& 0.480& 0.569& 0.401& 0.809& 0.748& 0.211& 0.586& 0.534& 0.357& 0.369& 0.622\\
region15& TX-Dallas& 0.566& 0.425& 0.584& 0.732& 0.432& 0.551& 0.825& 0.580& 0.666& 0.715& 0.644& 0.640\\
region16& FL-Miami& 0.682& 0.367& 0.517& 0.286& 0.546& 0.500& 0.306& 0.505& 0.417& 0.233& 0.357& 0.476\\
region17& FL-Tampa& 0.678& 0.436& 0.570& 0.359& 0.534& 0.525& 0.325& 0.554& 0.509& 0.305& 0.461& 0.579\\
region18& GA-Atlanta& 0.604& 0.582& 0.606& 0.670& 0.521& 0.584& 0.698& 0.662& 0.683& 0.623& 0.570& 0.607\\
region19& NV-Las Vegas& 0.471& 0.396& 0.411& 0.281& 0.558& 0.421& 0.214& 0.392& 0.319& 0.276& 0.434& 0.479\\
region20& NY-New York& 0.744& 0.589& 0.699& 0.428& 0.483& 0.428& 0.288& 0.688& 0.764& 0.356& 0.299& 0.528\\
\bottomrule
\end{tabularx}
\medskip\small \newpage \hrule \vspace{0.05in}
Notes: The table reports results from analysis of geographic overlaps in real estate price changes and accounting profitability changes across Case-Shiller regions. Panel A (B) provides Spearman/Pearson correlations below/above the diagonal in month-over-month (year-over-year) real estate price changes across regions. Panel C \vspace{0.05in}\hrule \par
\endgroup
\结束{文档}
答案1
除了更改第一个标题行的列类型（从到l--在您的答案--）>{\hsize=\textwidth}X，您还应该
避免在 Region1/Region2/etc 标题中产生难看的重叠，这可能会导致标题无法读取；并且
找到一种方法来避免在 中使用主要表格材料
\footnotesize。在下面的代码中，简化标题结构并减少列间空白量允许使用 来\small作为表格材料。
\documentclass[11pt]{article}
\usepackage{setspace,amssymb,amsmath}
\usepackage[tablename=TABLE,labelsep=newline,
aboveskip=0pt,font=bf,justification=centering]{caption}
\usepackage{booktabs,tabularx}
\usepackage[margin=1in]{geometry}
\usepackage[autostyle]{csquotes}
\usepackage[table]{xcolor}
\newcolumntype{Y}{>{\centering\arraybackslash}X}
\doublespacing
\begin{document}
\begingroup % keep any font size changes local to group
\singlespacing
\captionof{table}{U.S. Corporate Employees and Supply of Real Estate Properties Available for Sale}
\small
\setlength\tabcolsep{3pt} % default: 6pt
\begin{tabularx}{\textwidth}{@{} ll *{12}{Y} @{}}
\toprule
\multicolumn{14}{@{}p{\textwidth}@{}}{Characteristic 1: Cross-sectional overlap in month-over-month regional real estate price changes (Spearman\slash Pearson correlations below\slash above the diagonal)} \\
\midrule
&& \multicolumn{12}{c@{}}{Region}\\
\cmidrule(l){3-14}
&& 1 & 2& 3& 4& 5& 6& 7& 8& 9& 10& 11& 12 \\
\cmidrule(l){3-14}
1& DC-Washington& 1.000& 0.585& 0.684& 0.592& 0.782& 0.777& 0.490& 0.695& 0.696& 0.527& 0.559& 0.632 \\
2& MI-Detroit& 0.526& 1.000& 0.796& 0.504& 0.512& 0.561& 0.569& 0.791& 0.636& 0.475& 0.570& 0.502 \\
3& MN-Minneapolis& 0.665& 0.649& 1.000& 0.597& 0.592& 0.642& 0.669& 0.804& 0.692& 0.510& 0.579& 0.544\\
4& OH-Cleveland& 0.571& 0.487& 0.517& 1.000& 0.444& 0.572& 0.661& 0.645& 0.597& 0.571& 0.604& 0.581\\
5& CA-San Diego& 0.766& 0.479& 0.583& 0.435& 1.000& 0.771& 0.473& 0.500& 0.533& 0.415& 0.441& 0.590\\
6& CA-San Francisco& 0.754& 0.486& 0.531& 0.511& 0.754& 1.000& 0.525& 0.611& 0.595& 0.506& 0.544& 0.699\\
7& CO-Denver& 0.386& 0.521& 0.606& 0.594& 0.380& 0.352& 1.000& 0.536& 0.512& 0.525& 0.521& 0.622\\
8& IL-Chicago& 0.724& 0.622& 0.694& 0.600& 0.509& 0.548& 0.396& 1.000& 0.646& 0.584& 0.590& 0.642\\
9& MA-Boston& 0.683& 0.634& 0.704& 0.578& 0.546& 0.584& 0.508& 0.617& 1.000& 0.490& 0.425& 0.522\\
10& NC-Charlotte& 0.444& 0.349& 0.356& 0.524& 0.313& 0.380& 0.424& 0.481& 0.462& 1.000& 0.596& 0.648\\
11& OR-Portland& 0.446& 0.421& 0.379& 0.559& 0.320& 0.371& 0.404& 0.461& 0.338& 0.489& 1.000& 0.720\\
12& WA-Seattle& 0.639& 0.373& 0.459& 0.607& 0.581& 0.664& 0.558& 0.596& 0.535& 0.573& 0.629& 1.000\\
13& AZ-Phoenix& 0.600& 0.441& 0.493& 0.313& 0.577& 0.587& 0.380& 0.489& 0.499& 0.371& 0.427& 0.518\\
14& CA-Los Angeles& 0.802& 0.480& 0.569& 0.401& 0.809& 0.748& 0.211& 0.586& 0.534& 0.357& 0.369& 0.622\\
15& TX-Dallas& 0.566& 0.425& 0.584& 0.732& 0.432& 0.551& 0.825& 0.580& 0.666& 0.715& 0.644& 0.640\\
16& FL-Miami& 0.682& 0.367& 0.517& 0.286& 0.546& 0.500& 0.306& 0.505& 0.417& 0.233& 0.357& 0.476\\
17& FL-Tampa& 0.678& 0.436& 0.570& 0.359& 0.534& 0.525& 0.325& 0.554& 0.509& 0.305& 0.461& 0.579\\
18& GA-Atlanta& 0.604& 0.582& 0.606& 0.670& 0.521& 0.584& 0.698& 0.662& 0.683& 0.623& 0.570& 0.607\\
19& NV-Las Vegas& 0.471& 0.396& 0.411& 0.281& 0.558& 0.421& 0.214& 0.392& 0.319& 0.276& 0.434& 0.479\\
20& NY-New York& 0.744& 0.589& 0.699& 0.428& 0.483& 0.428& 0.288& 0.688& 0.764& 0.356& 0.299& 0.528\\
\bottomrule
\end{tabularx}
\medskip
Notes: The table reports results from analysis of geographic overlaps in real estate price changes and accounting profitability changes across Case-Shiller regions. Panel A (B) provides Spearman/Pearson correlations below/above the diagonal in month-over-month (year-over-year) real estate price changes across regions. Panel C \dots \par
\medskip
\hrule
\endgroup
\end{document}
答案2
我把需要的行改为
\gmc{14}{>{\hsize=\textwidth}X}{Characteristic 1:
Cross-sectional overlap in month-over-month regional
real estate price changes (Spearman/Pearson correlations
below/above the diagonal)} \\\hline
并且它有效！！