Hi A.K,
thanks for the suggestion. Unfortunately, it's not really what I'm looking for.
I'm looking for a package or some function that can create the point estimate
in the first row with the standard error in parenthesis in the second which is
not what you normally get from the xtable package.
Anyone with good ideas?
Best,
Sebastian
On Oct 10, 2012, at 3:09 PM, arun <smartpink...@yahoo.com> wrote:
> HI,
>
> May be you can use library(texreg):
>
> library(plm)
>
> #generating some data
> x <- rnorm(270)
> y <- rnorm(270)
> t <- rep(1:3,30)
> i <- rep(1:90, each=3)
>
> data <- data.frame(i,t,x,y)
>
> fe <- plm(y~x,data=data,model="within")
> summary(fe)
> library(texreg)
> fe1<-extract.plm(fe) #extract the plm object
>
> library(xtable)
>
> xtable(do.call(rbind,lapply(fe1,function(x) data.frame(x))))
> % latex table generated in R 2.15.0 by xtable 1.7-0 package
> % Wed Oct 10 14:59:10 2012
> \begin{table}[ht]
> \begin{center}
> \begin{tabular}{rr}
> \hline
> & x \\
> \hline
> Estimate & -0.03 \\
> Std. Error & 0.08 \\
> Pr($>$$|$t$|$) & 0.68 \\
> R\$\verb|^|2\$ & 0.00 \\
> Adj. R\$\verb|^|2\$ & 0.00 \\
> Num. obs. & 270.00 \\
> \hline
> \end{tabular}
> \end{center}
> \end{table}
> #Another example. In this case, you can create two tables from the zz1 list
> data("Produc", package = "plm")
> zz <- plm(log(gsp) ~ log(pcap) + log(pc) + log(emp) + unemp, data =
> Produc, index = c("state","year"))
> zz1<-extract.plm(zz)
>
>
> lapply(lapply(zz1,function(x) data.frame(x)),xtable)
> [[1]]
> % latex table generated in R 2.15.0 by xtable 1.7-0 package
> % Wed Oct 10 15:08:02 2012
> \begin{table}[ht]
> \begin{center}
> \begin{tabular}{rrrr}
> \hline
> & Estimate & Std..Error & Pr...t.. \\
> \hline
> log(pcap) & -0.03 & 0.03 & 0.37 \\
> log(pc) & 0.29 & 0.03 & 0.00 \\
> log(emp) & 0.77 & 0.03 & 0.00 \\
> unemp & -0.01 & 0.00 & 0.00 \\
> \hline
> \end{tabular}
> \end{center}
> \end{table}
>
> [[2]]
> % latex table generated in R 2.15.0 by xtable 1.7-0 package
> % Wed Oct 10 15:08:02 2012
> \begin{table}[ht]
> \begin{center}
> \begin{tabular}{rr}
> \hline
> & x \\
> \hline
> R\$\verb|^|2\$ & 0.94 \\
> Adj. R\$\verb|^|2\$ & 0.88 \\
> Num. obs. & 816.00 \\
> \hline
> \end{tabular}
> \end{center}
> \end{table}
>
>
> Hope it helps.
>
> A.K.
>
>
>
>
>
>
>
> ----- Original Message -----
> From: Sebastian Barfort <sb3...@nyu.edu>
> To: r-help@r-project.org
> Cc:
> Sent: Wednesday, October 10, 2012 1:07 PM
> Subject: [R] Exporting summary plm results to latex
>
> Dear all,
>
> I am trying to export my fixed effect results to Latex. I am using the plm
> package with the summary function. However, it does not look like apsrtable,
> stargazer, or any other package can accompany using the plm package.
>
> I am interested in a classic table with the coefficient in one row followed
> by the standard error in paranthesis in the next row and stars by the
> coefficient to show relevant coefficient level.
>
> coefficient 1 xxx**
> (xxx)
>
> Here is a reproducible example:
>
> library(plm)
>
> #generating some data
> x <- rnorm(270)
> y <- rnorm(270)
> t <- rep(1:3,30)
> i <- rep(1:90, each=3)
>
> data <- data.frame(i,t,x,y)
>
> fe <- plm(y~x,data=data,model="within")
> summary(fe)
>
> If there is an alternative to using the plm package that works with any of
> the export to latex packages, I would be very interested to know. Otherwise,
> any ideas of how to solve this problem are very welcome. I almost exclusively
> use fixed effect panel models, and the problem of exporting results to Latex
> is one of the things preventing me from switching entirely from Stata to R.
>
>
> Kind regards,
> Sebastian
>
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
