The stargazer package for R has two arguments, covariate.labels and column.labels, that customize table text.
I want to use Greeks or math expressions in these arguments. Ive tried standard syntax for latex text and Ive tried stand R expressions, as shown below:
covariate.labels = c($\beta_{0}$, $\beta_{1}$)
covariate.labels = c(expression(beta[0]), expression(beta[1]))
Ive also tried variations on the above and Im yet to achieve the basic math symbol annotations. Any help is appreciated.
covariate.labels
needs to be a character vector. Remember that you need to escape backslashes with another backslash in an R string though.
stargazer(mtcars[,1:2],covariate.labels=c("$\\beta_{0}$", "$\\beta_{1}$"))
% Table created by stargazer v.4.5.3 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
% Date and time: Wed, Feb 05, 2014 - 16:21:19
\begin{table}[!htbp] \centering
\caption{}
\label{}
\begin{tabular}{@{\extracolsep{5pt}}lccccc}
\\[-1.8ex]\hline
\hline \\[-1.8ex]
Statistic & \multicolumn{1}{c}{N} & \multicolumn{1}{c}{Mean} & \multicolumn{1}{c}{St. Dev.} & \multicolumn{1}{c}{Min} & \multicolumn{1}{c}{Max} \\
\hline \\[-1.8ex]
$\beta_{0}$ & 32 & 20.091 & 6.027 & 10.400 & 33.900 \\
$\beta_{1}$ & 32 & 6.188 & 1.786 & 4 & 8 \\
\hline \\[-1.8ex]
\normalsize
\end{tabular}
\end{table}
In case you are doing this but with type = "html"
, you can use html tags to modify table elements. This worked for me:
model <- lm(mpg ~ cyl, mtcars)
stargazer(model,
covariate.labels = c("<p>β<sub>0</sub></p>",
"<p>β<sub>1</sub></p>"))
% Table created by stargazer v.5.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
% Date and time: mar., ago. 15, 2017 - 09:55:31 a. m.
\begin{table}[!htbp] \centering
\caption{}
\label{}
\begin{tabular}{@{\extracolsep{5pt}}lc}
\\[-1.8ex]\hline
\hline \\[-1.8ex]
& \multicolumn{1}{c}{\textit{Dependent variable:}} \\
\cline{2-2}
\\[-1.8ex] & mpg \\
\hline \\[-1.8ex]
<p>β<sub>0</sub></p> & $-$2.876$^{***}$ \\
& (0.322) \\
& \\
<p>β<sub>1</sub></p> & 37.885$^{***}$ \\
& (2.074) \\
& \\
\hline \\[-1.8ex]
Observations & 32 \\
R$^{2}$ & 0.726 \\
Adjusted R$^{2}$ & 0.717 \\
Residual Std. Error & 3.206 (df = 30) \\
F Statistic & 79.561$^{***}$ (df = 1; 30) \\
\hline
\hline \\[-1.8ex]
\textit{Note:} & \multicolumn{1}{r}{$^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\
\end{tabular}
\end{table}
Which ends up looking like this
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