I am trying to get multiple column labels, but I have problems parsing it from stargazer()
. I am trying to display different models estimated over different sub-samples and describe the partitions in the column names. However, it is not displaying it correctly.
I already checked Getting Stargazer Column labels to print on two or three lines? and Stargazer column on multiple lines with multiple models? questions, but they are not exactly what I need.
PS: My question's motivation comes from capturing the tree structure from this type of model in a table.
var1<-rnorm(100)
var2<-rnorm(100)
df<-data.frame(var1, var2)
mod<-lm(var1~var2)
library(stargazer)
stargazer(mod,mod,mod,mod,
column.labels='Gender=Male Gender=Female \\\\ & Age > 25 Age <= 25 Educ>12 Educ <=12')
Result
Desired output
This is how my LaTeX should look like.
% Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
% Date and time: vie., ene. 15, 2021 - 13:58:54
\begin{table}[!htbp] \centering
\caption{}
\label{}
\begin{tabular}{@{\extracolsep{5pt}}lcccc}
\\[-1.8ex]\hline
\hline \\[-1.8ex]
& \multicolumn{4}{c}{\textit{Dependent variable:}} \\
\cline{2-5}
\\[-1.8ex] & \multicolumn{2}{c}{Gender$=$Male} & \multicolumn{2}{c}{Gender$=$Female} \\
\\[-1.8ex] & \multicolumn{1}{c}{Age$>$25} & \multicolumn{1}{c}{Age$<=$25} &\multicolumn{1}{c}{Educ$>$12} & \multicolumn{1}{c}{Educ$<=12$} \\
\\[-1.8ex] & (1) & (2) & (3) & (4)\\
\hline \\[-1.8ex]
var2 & 0.006 & 0.006 & 0.006 & 0.006 \\
& (0.101) & (0.101) & (0.101) & (0.101) \\
& & & & \\
Constant & $-$0.012 & $-$0.012 & $-$0.012 & $-$0.012 \\
& (0.105) & (0.105) & (0.105) & (0.105) \\
& & & & \\
\hline \\[-1.8ex]
Observations & 100 & 100 & 100 & 100 \\
R$^{2}$ & 0.00004 & 0.00004 & 0.00004 & 0.00004 \\
Adjusted R$^{2}$ & $-$0.010 & $-$0.010 & $-$0.010 & $-$0.010 \\
Residual Std. Error (df = 98) & 1.045 & 1.045 & 1.045 & 1.045 \\
F Statistic (df = 1; 98) & 0.004 & 0.004 & 0.004 & 0.004 \\
\hline
\hline \\[-1.8ex]
\textit{Note:} & \multicolumn{4}{r}{$^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\
\end{tabular}
\end{table}