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表中錯位省略錯誤

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表中錯位省略錯誤

我已經（在這個網站和其他網站上）尋找答案大約三個小時，註解掉了我的絕大多數程式碼，但我仍然沒有解決我的問題。我有一個表返回多個錯誤的 \omit 和錯誤的 \span 錯誤。為什麼會發生這種情況？我想這一定是非常愚蠢的事。這是我的程式碼：

    \documentclass[12pt]{article}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\usepackage{eurosym}
\usepackage{graphicx}
\usepackage{subfig}
\usepackage{caption}
\usepackage{xcolor}
\usepackage{amsmath}
\def\sym#1{\ifmmode{}^{#1}\else\({}^{#1}\)\fi}
\begin{document}
\begin{center}
%TCIMACRO{%
%\TeXButton{B}{\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
%\begin{table}[h]\centering}}%
%BeginExpansion
\begin{table}[h]\centering%
%EndExpansion
\caption{Heterogeneous effect - The role of confidence} \label%
{tab:regression2}%
\begin{tabular}{lcccc}
\hline\hline
& Placement & Placement & Placement & Placement \\ 
& {\small {Model E}} & {\small {Model F}} & {\small {Model G}} & {\small {%
Model H }} \\ \hline
Treatment 1 & -10.61\sym{**} &  & -2.811 & 0 \\ 
& (0.048) &  & (0.677) & ($\cdot $) \\[1em] 
Sample Score &  & 4.332\sym{***} & 3.813\sym{*} & 4.332\sym{***} \\ 
&  & (0.007) & (0.061) & (0.007) \\[1em] 
Treat.1 $X$ Sample Score & 7.005\sym{***} & 2.064\sym{**} & 3.245 & 
2.064\sym{**} \\ 
& (0.002) & (0.046) & (0.283) & (0.046) \\[1em] 
Male & 5.031\sym{**} & 4.526\sym{*} & 4.524\sym{*} & 4.526\sym{*} \\ 
& (0.032) & (0.054) & (0.054) & (0.054) \\ 
Constant & 54.57\sym{***} & 46.17\sym{***} & 47.40\sym{***} & 46.17\sym{***} \\ %
& (0.000) & (0.000) & (0.000) & (0.000) \\ \hline\hline
N & 282 & 282 & 282 & 282 \\ 
$R^{2}$ & 0.0648 & 0.0761 & 0.0767 & 0.0761 \\ \hline\hline
\end{tabular}%
\smallskip

\multicolumn{4}{p{0.85\linewidth}}{\footnotesize NOTES: The dependent variable is placement (the reported belief that own performance in the quiz is above the median). Models E-G are OLS regressions. Model H is a semi-structural estimation imposing the model's restriction that Treatment $1>0$. \textit{P}-values in parentheses. \sym{*} \(p<0.10\), \sym{**} \(p<0.10\), \sym{***} \(p<0.10\).} \\
%TCIMACRO{\TeXButton{E}{\end{table}}}%
%BeginExpansion
\end{table}%
\end{center}
\end{document}

我知道間距不好，但應該可以。請注意，我的一位同事使用 Scientific Workplace，它有嚴重的相容性問題。這就是為什麼我在 \end{tabular} 之後使用多列，並且避免使用諸如 booktabs 之類的套件。

提前致謝。

答案1

你有

 \multicolumn{4}{p{0.85\linewidth}}{\footnotesize NOTES: The dependent variable is placement (the reported belief that own performance in the quiz is above the median). Models E-G are OLS regressions. Model H is a semi-structural estimation imposing the model's restriction that Treatment $1>0$. \textit{P}-values in parentheses. \sym{*} \(p<0.10\), \sym{**} \(p<0.10\), \sym{***} \(p<0.10\).} \\

在表格之外，因此會出現錯誤。只需使用

 \footnotesize NOTES: The dependent variable is placement (the reported belief that own performance in the quiz is above the median). Models E-G are OLS regressions. Model H is a semi-structural estimation imposing the model's restriction that Treatment $1>0$. \textit{P}-values in parentheses. \sym{*} \(p<0.10\), \sym{**} \(p<0.10\), \sym{***} \(p<0.10\).

答案2

[]另一個解決方案是（當然）將多列放置在表格內，並透過新的空白行加上after中的負空格來添加垂直空間\\：

\documentclass[12pt]{article}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\usepackage{eurosym}
\usepackage{graphicx}
\usepackage{subfig}
\usepackage{caption}
\usepackage{xcolor}
\usepackage{amsmath}
\def\sym#1{\ifmmode{}^{#1}\else\({}^{#1}\)\fi}
\begin{document}
\begin{center}
%TCIMACRO{%
%\TeXButton{B}{\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
%\begin{table}[h]\centering}}%
%BeginExpansion
\begin{table}[h]\centering%
%EndExpansion
\caption{Heterogeneous effect - The role of confidence} \label%
{tab:regression2}%
\begin{tabular}{lcccc}
\hline\hline
& Placement & Placement & Placement & Placement \\ 
& {\small {Model E}} & {\small {Model F}} & {\small {Model G}} & {\small {%
Model H }} \\ \hline
Treatment 1 & -10.61\sym{**} &  & -2.811 & 0 \\ 
& (0.048) &  & (0.677) & ($\cdot $) \\[1em] 
Sample Score &  & 4.332\sym{***} & 3.813\sym{*} & 4.332\sym{***} \\ 
&  & (0.007) & (0.061) & (0.007) \\[1em] 
Treat.1 $X$ Sample Score & 7.005\sym{***} & 2.064\sym{**} & 3.245 & 
2.064\sym{**} \\ 
& (0.002) & (0.046) & (0.283) & (0.046) \\[1em] 
Male & 5.031\sym{**} & 4.526\sym{*} & 4.524\sym{*} & 4.526\sym{*} \\ 
& (0.032) & (0.054) & (0.054) & (0.054) \\ 
Constant & 54.57\sym{***} & 46.17\sym{***} & 47.40\sym{***} & 46.17\sym{***} \\ %
& (0.000) & (0.000) & (0.000) & (0.000) \\ \hline\hline
N & 282 & 282 & 282 & 282 \\ 
$R^{2}$ & 0.0648 & 0.0761 & 0.0767 & 0.0761 \\ \hline\hline\\[-0.5em]
\multicolumn{4}{p{0.85\linewidth}}{\footnotesize NOTES: The dependent variable is placement (the reported belief that own performance in the quiz is above the median). Models E-G are OLS regressions. Model H is a semi-structural estimation imposing the model's restriction that Treatment $1>0$. \textit{P}-values in parentheses. \sym{*} \(p<0.10\), \sym{**} \(p<0.10\), \sym{***} \(p<0.10\).} \\
\end{tabular}%
%TCIMACRO{\TeXButton{E}{\end{table}}}%
%BeginExpansion
\end{table}%
\end{center}
\end{document}

在此輸入影像描述

答案3

我將用於threepartablex表格註釋和siunitx在表格中寫入數字：

在此輸入影像描述

（紅線表示文字邊框）

\documentclass[12pt]{article}

\usepackage{eurosym}
\usepackage{graphicx}
\usepackage{subfig}
\usepackage{caption}
\usepackage{xcolor}
\usepackage{amsmath}
\def\sym#1{\ifmmode{}^{#1}\else\({}^{#1}\)\fi}

\usepackage{siunitx}
\usepackage{booktabs, makecell}
\renewcommand\theadfont{\small}
\renewcommand\theadgape{}
\usepackage[referable]{threeparttablex}

\begin{document}
    \begin{table}[ht]
    \centering%
    \begin{threeparttable}
\caption{Heterogeneous effect - The role of confidence} 
\label{tab:regression2}%
    \setlength\tabcolsep{0pt}
\begin{tabular*}{\linewidth}{@{\extracolsep{\fill}}
            l *{4}{S[input-symbols = {()},
                     table-space-text-post=***,
                     round-integer-to-decimal,
                     round-mode=places,
                     round-precision=3,
                     table-format=-2.3]}
                            }
    \toprule
    &   {\thead{Placement\\ Model E}} 
        &   {\thead{Placement\\ Model F}}
            &   {\thead{Placement\\ Model G}}
                &      {\thead{Placement\\ Model H}}                                \\ 
    \midrule
Treatment 1     
    & -10.61\tnote{**}  &                   & -2.811            & 0                 \\
    & (0.048)           &                   & (0.677)           & {$(\cdot)$}       \\
    \addlinespace
Sample Score    
    &                   & 4.332\tnote{***}  & 3.813\tnote{*}    & 4.332\tnote{***}  \\
    &                   & (0.007)           & (0.061)           & (0.007)           \\
    \addlinespace
Treat.1 $X$ Sample Score 
    & 7.005\tnote{***}  & 2.064\tnote{**}   & 3.245             & 2.064\tnote{**}   \\
    & (0.002)           & (0.046)           & (0.283)           & (0.046)           \\ 
    \addlinespace
Male            
    & 5.031\tnote{**}   & 4.526\tnote{*}    & 4.524\tnote{*}    & 4.526\tnote{*}    \\
    & (0.032)           & (0.054)           & (0.054)           & (0.054)           \\
    \addlinespace
Constant        
    & 54.57\tnote{***}  & 46.17\tnote{***}  & 47.40\tnote{***}  & 46.17\tnote{***}  \\
    & (0.000)           & (0.000)           & (0.000)           & (0.000)           \\
    \midrule
N   & {282}             & {282}             & {282}             & {282}             \\
$R^{2}$         
    & 0.0648            & 0.0761            & 0.0767            & 0.0761            \\ 
    \midrule[\heavyrulewidth]
\end{tabular*}
\begin{tablenotes}[flushleft, para]\footnotesize
\note 
The dependent variable is placement (the reported belief that own performance in the quiz is above the median). Models E-G are OLS regressions. Model H is a semi-structural estimation imposing the model's restriction that Treatment $1>0$. 

\textit{P}-values are in parentheses: 
\item[*] \(p<0.10\), 
\item[**] \(p<0.10\), 
\item[***] \(p<0.10\).
\end{tablenotes}
\end{threeparttable}%
    \end{table}%
\end{document}

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