我有两个表格，如何才能像图中这样合并呢？我只需要在我的“绩效衡量”表格前面添加一列“样本量”，然后我的两个表格就对应不同的样本量了。
这是我的两个表的代码：
\begin{table}[h!]
\centering
\begin{tabular}{|c|c c |c c|}\hline
\multirow{2}{*}{\parbox{6em}{\centering Performance}} & \multicolumn{2}{c|}{ML} & \multicolumn{2}{c|}{M} \\\cline{2-5}
& $\hat{\mu}$ & $\sigma$ & $\hat{\mu}$ & $\hat{\sigma}$ \\\hline
$\widehat{\text{MSE}}$ & $0.117$ & $64$ & $\underset{(0.009)}{0.121}$ & $\underset{(0.006)}{0.094}$ \\ $\widehat{\text{Bias}}$ & $\underset{(0.015)}{ 0.041}$ & $\underset{67}$ & $\underset{57}$ & $\underset{83}$ \\
$\widehat{\text{SD}}$ & $\underset{340}$ & $\underset{44}$ & $3$ & $95$ \\
\hline
\end{tabular}
\caption{Estimates}
\label{5}
\end{table}
\begin{table}[h!]
\centering
\begin{tabular}{|c|c c |c c|}\hline
\multirow{2}{*}{\parbox{6em}{\centering Performance}} & \multicolumn{2}{c|}{ML} & \multicolumn{2}{c|}{M} \\\cline{2-5}
& $\hat{\mu}$ & $\sigma$ & $\hat{\mu}$ & $\hat{\sigma}$ \\\hline
$\widehat{\text{MSE}}$ & $0.117$ & $64$ & $\underset{(0.009)}{0.121}$ & $\underset{(0.006)}{0.094}$ \\ $\widehat{\text{Bias}}$ & $\underset{(0.015)}{ 0.041}$ & $\underset{67}$ & $\underset{57}$ & $\underset{83}$ \\
$\widehat{\text{SD}}$ & $\underset{340}$ & $\underset{44}$ & $3$ & $95$ \\
\hline
\end{tabular}
\caption{Estimates}
\label{5}
\end{table}
答案1
- 我猜您正在寻找以下内容：
对于上表，我合并了机器人提供的表并为其添加了新的第一列。
\documentclass{article}
\usepackage{amsmath}
\usepackage{booktabs, multirow}
\usepackage{tabularray}
\begin{document}
\begin{table}[ht]
\centering
\setlength\tabcolsep{4pt}
\begin{tabular}{@{} p{4em} p{7em} cc cc @{}}
\toprule
\multirow{2.2}{=}{Sample size}
& \multirow{2.2}{=}{Performance measure}
& \multicolumn{2}{c}{MLE} & \multicolumn{2}{c}{MM} \\
\cmidrule(r){3-4}\cmidrule(l){5-6}
& & $\hat{\mu}$ & $\hat{\sigma}$ & $\hat{\mu}$ & $\hat{\sigma}$ \\
\midrule
10 & $\widehat{\text{MSE}}$
& $\underset{(0.009)}{0.117}$
& $\underset{(0.004)}{0.064}$
& $\underset{(0.009)}{0.121}$
& $\underset{(0.006)}{0.094}$ \\
& $\widehat{\text{Bias}}$
& $\underset{(0.015)}{ 0.041}$
& $\underset{(0.011)}{-0.067}$
& $\underset{(0.015)}{ 0.057}$
& $\underset{(0.013)}{ -0.083}$ \\
& $\widehat{\text{SD}}$
& $\underset{(0.011)}{0.340}$
& $\underset{(0.007)}{0.244}$
& $\underset{( 0.011)}{ 0.343}$
& $\underset{(0.009)}{0.295}$ \\
& $\text{RE}$ & $1.000$ & $1.000$ & $0.967$ & $0.681$ \\
& 95\% CI of $\widehat{\text{MSE}}$
& $[0.100,0.134]$
& $[0.057,0.071]$
& $[0.103,0.138]$
& $[0.082,0.105]$ \\
\addlinespace[9pt]
%
15 & $\widehat{\text{MSE}}$
& $\underset{(0.009)}{0.117}$
& $\underset{(0.004)}{0.064}$
& $\underset{(0.009)}{0.121}$
& $\underset{(0.006)}{0.094}$ \\
& $\widehat{\text{Bias}}$
& $\underset{(0.015)}{ 0.041}$
& $\underset{(0.011)}{-0.067}$
& $\underset{(0.015)}{ 0.057}$
& $\underset{(0.013)}{ -0.083}$ \\
& $\widehat{\text{SD}}$
& $\underset{(0.011)}{0.340}$
& $\underset{(0.007)}{0.244}$
& $\underset{( 0.011)}{ 0.343}$
& $\underset{(0.009)}{0.295}$ \\
& $\text{RE}$ & $1.000$ & $1.000$ & $0.967$ & $0.681$ \\
& 95\% CI of $\widehat{\text{MSE}}$
& $[0.100,0.134]$
& $[0.057,0.071]$
& $[0.103,0.138]$
& $[0.082,0.105]$ \\
\bottomrule
\end{tabular}
\caption{Estimates of three performance measures for sample size 10 and 15.}
\label{tab:n5}
\end{table}
\end{document}
- 但是，对于您的表格，我会使用
tabularray并siunitx打包。使用它们，数字在小数点处对齐，并且表格主体代码更简单/更短：
\documentclass{article}
\usepackage{tabularray}
\UseTblrLibrary{amsmath, booktabs, siunitx}
\begin{document}
\begin{table}[h!]
\centering
\sisetup{
table-align-text-before=false,
input-open-uncertainty =,
input-close-uncertainty=,
table-format={(}-1.3{$^{)}$}
}
\begin{tblr}{colsep=4pt,
colspec={@{} Q[c, wd=4em]
Q[l, wd=7em, mode=math]
*{4}{S}},
row{1} = {guard, mode=text},
row{2} = {guard, mode=math},
row{odd[3-X]} ={belowsep=-4pt},
row{even[3-X]} ={font=\footnotesize, belowsep=2pt}
}
\toprule
\SetCell[r=2]{c} Sample size
& \SetCell[r=2]{c} Performance measure
& \SetCell[c=2]{c} MLE
& & \SetCell[c=2]{c} MM
& \\
\cmidrule[r]{3-4}\cmidrule[l]{5-6}
& & \hat{\mu} & \hat{\sigma} & \hat{\mu} & \hat{\sigma} \\
\midrule
%
10 & \widehat{\mathrm{MSE}}
& 0.117 & 0.064 & 0.121 & 0.094 \\
& & (0.009) & (0.004) & (0.009) & (0.006) \\
& \widehat{\mathrm{Bias}}
& 0.041 & -0.067 & 0.057 & -0.083 \\
& & (0.015) & (0.011) & (0.015) & (0.013) \\
& \widehat{\text{SD}}
& 0.340 & 0.244 & 0.343 & 0.295 \\
& & (0.011) & (0.007) & (0.011) & (0.009) \\
& \mathrm{RE}
& 1.000 & 1.000 & 0.967 & 0.681 \\
\SetRow{guard, abovesep=6pt, font=\normalsize}
& \text{95\% CI of }\widehat{\text{MSE}}
& [0.100, 0.134]
& [0.057, 0.071]
& [0.103, 0.138]
& [0.082, 0.105] \\
\addlinespace[6pt]
%
15 & \widehat{\mathrm{MSE}}
& 0.117 & 0.064 & 0.121 & 0.094 \\
& & (0.009) & (0.004) & (0.009) & (0.006) \\
& \widehat{\mathrm{Bias}}
& 0.041 & -0.067 & 0.057 & -0.083 \\
& & (0.015) & (0.011) & (0.015) & (0.013) \\
& \widehat{\text{SD}}
& 0.340 & 0.244 & 0.343 & 0.295 \\
& & (0.011) & (0.007) & (0.011) & (0.009) \\
& \mathrm{RE}
& 1.000 & 1.000 & 0.967 & 0.681 \\
\SetRow{guard}
& \text{95\% CI of }\widehat{\text{MSE}}
& [0.100, 0.134]
& [0.057, 0.071]
& [0.103, 0.138]
& [0.082, 0.105] \\
\bottomrule
\end{tblr}
\caption{Table using \texttt{tblr} table.}
\label{tab:n5}
\end{table}
\end{document}
