0

I have been looking for an answer (in this site and others) for about three hours, commented out the vast majority of my code, and I still have no answer to my issue. I have a table which returns multiple misplaced \omit and misplaced \span errors. Why is this happening? It must be something very silly, I guess. This is my code:

    \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}

I know the spacing is bad but it should work. Please note that a colleague of mine uses Scientific Workplace, which has serious compatibility issues. That is why I use the multicolumn after the \end{tabular} and I avoid using packages such as booktabs.

Thanks in advance.

Improve this question
3
  • 1
    But \multicolumn can't go outside a tabular environment. I think you can replace \multicolumn{4}{p{0.85\linewidth}} by \parbox{0.85\linewidth} or something like that to achieve the same effect. – Phelype Oleinik Aug 12 '19 at 20:53
  • Well, I swear I took the advice of putting the multicolumn outside the tabular from a great answer somewhere in another question, a few weeks ago. I cannot find it now... Anyways, your suggestion works perfectly. Thank you. – Juan Pedro Aug 12 '19 at 21:02
  • Maybe you could ues the threeparttable package as shown in my answer to one of your previous questions: tex.stackexchange.com/a/502001/134144 – leandriis Aug 12 '19 at 21:51
2

You have

 \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{***} \(p<0.10\).} \\

outside the tabular, hence the error. simply use

 \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{***} \(p<0.10\).
Improve this answer
2
  • Thank you. This works but is not perfect, since I want the notes to be aligned with the table. I have tested Phelype Oleinik's suggestion in the comment and it seems to do the trick. – Juan Pedro Aug 12 '19 at 21:04
  • also see the threeparttable evironment from the package of the same name that provides a properly aligned notes construct @JuanPedro – David Carlisle Aug 12 '19 at 21:15
0

Another solution is (of course) to place multicolumn inside the tabular and add a vertical space by a new empty line plus a negative space in [] after \\:

\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}

enter image description here

Improve this answer
0

I would use threepartablex for table's notes and siunitx for writing numbers in table:

enter image description here

(red lines indicate text borders)

\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}
Improve this answer

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.