I would like to get latex table of regression results by using following comments;
Analysis1 <- glm(y~x, data=data1, family=quasibinomial(link="logit"))
summary(Analysis1)
texreg(list(Analysis1),dcolumn = TRUE, booktabs = TRUE,
use.packages = TRUE, label = "tab:1",
caption = "Regression Estimation Results",float.pos = "hb")
However, this "texreg" commands gives raw output instead of clean table;
\begin{table}[ht]
\centering
\begin{tabular}{rrrrr}
\hline
& Estimate & Std. Error & t value & Pr($>$$|$t$|$) \\
\hline
(Intercept) & 0.7686 & 0.0125 & 61.37 & 0.0000 \\
x & -0.0166 & 0.0069 & -2.41 & 0.0170 \\
\hline
\end{tabular}
\end{table}
Could you please help me how I can get clean regression results table by using texreg command in R?
You did not provide a minimal self-contained example. However, if I use the example provided on the glm
help page, it does seem to work. See the following result.
library("texreg") # tested with version 1.33.2
counts <- c(18,17,15,20,10,20,25,13,12)
outcome <- gl(3,1,9)
treatment <- gl(3,3)
Analysis1 <- glm(counts ~ outcome + treatment, family = poisson())
texreg(Analysis1, dcolumn = TRUE, booktabs = TRUE,
use.packages = TRUE, label = "tab:1",
caption = "Regression Estimation Results", float.pos = "hb")
This gives the following output, which is, I believe, correct.
\usepackage{booktabs}
\usepackage{dcolumn}
\begin{table}[hb]
\begin{center}
\begin{tabular}{l D{.}{.}{3.5}@{} }
\toprule
& \multicolumn{1}{c}{Model 1} \\
\midrule
(Intercept) & 3.04^{***} \\
& (0.17) \\
outcome2 & -0.45^{*} \\
& (0.20) \\
outcome3 & -0.29 \\
& (0.19) \\
treatment2 & 0.00 \\
& (0.20) \\
treatment3 & 0.00 \\
& (0.20) \\
\midrule
AIC & 56.76 \\
BIC & 57.75 \\
Log Likelihood & -23.38 \\
Deviance & 5.13 \\
Num. obs. & 9 \\
\bottomrule
\multicolumn{2}{l}{\scriptsize{$^{***}p<0.001$, $^{**}p<0.01$, $^*p<0.05$}}
\end{tabular}
\caption{Regression Estimation Results}
\label{tab:1}
\end{center}
\end{table}
If you get a different output using the same code, please report back which texreg
version you are using. If you are using the same version but your own example produces a result that looks different, please provide a minimal self-contained example.