Dear community,
I had been looking for an easy way to produce latex tables from R
output. xtable() and the package apsrtable produce good outputs but they are not
exactly what I was looking for.
I wrote this code that generates regression tables from multiple R
linear models. I want to share it because it might be
useful for someone else, and because I would appreciate comments on how to
optimize the code. I'm also open to suggestions about design or packages to
include. Or pointing out bugs. I hope this is the right list to post.
Please consider it is still in a very primitive form, and the generated table
might look strange for some disciplines (I come from political science).
Thanks,
Alex
## Start script
#################################
#### R models to Latex table ####
#################################
# nice() - Multiple R linear models into one Latex table.
#
# nice(list(fit1,fit2,...,fitn)) for generic table with n models
#
# or
#
# for better tables, create objects 'model.names' and 'final.varnames', then
#
# nice(list(fit1,fit2,...,fitn), model.names, final.varnames)
nice <- function(modelos, model.names=NULL, final.varnames=NULL) {
var.names<-vector(mode="character")
k<-1
for (i in 1:length(modelos)) {
l<-length(names(coef(modelos[[i]])))
var.names[c(k:c(k+l-1))]<-names(coef(modelos[[i]]))
k<-k+l
}
var.names<-unique(var.names)
if(is.null(final.varnames)) {
final.varnames<-var.names
}
if(is.null(model.names)) {
model.names<-paste("Model",1:length(modelos))
}
mat.all<-matrix(data=NA, nrow=length(var.names)*2, byrow=FALSE,
ncol=length(model.names),
dimnames=list(c(rep(c("coef","sd"),length=length(var.names)*2)),
c(model.names)))
dimnames(mat.all)[[1]][c(seq(1,dim(mat.all)[1], by=2))]<-var.names;
dimnames(mat.all)[[1]][c(seq(2,dim(mat.all)[1], by=2))]<-""
for (j in 1:length(modelos)) {
mat.all[c(match(names(coef(modelos[[j]])),dimnames(mat.all)[[1]])),j]<-coef(modelos[[j]])
mat.all[c(match(names(coef(modelos[[j]])),dimnames(mat.all)[[1]])+1),j]<-sqrt(diag(vcov(modelos[[j]])))
}
mat.all<-signif(mat.all, digits=3);
dimnames(mat.all)[[1]][c(seq(1,dim(mat.all)[1], by=2))]<-final.varnames
cat("\\begin{table}[!hbt]", "\n","\\caption[Short for List of Tables]{Long
for this
title}","\n","\\begin{center}","\n","\\begin{tabular}{llllllllll}","\n")
cat("&",paste(model.names[1:length(model.names)-1],"&"),model.names[length(model.names)],"\\\\","\n","\\hline","\n")
for(i in 1:dim(mat.all)[1]) {
if(i %in% c(seq(1,dim(mat.all)[1], by=2))) { # Odd rows (coefficients)
cat(dimnames(mat.all)[[1]][i],"&")
cat(
for (j in 1:(length(modelos)-1)) {
if(!is.na(mat.all[i,j])) {
p.val<-abs(mat.all[i,j]/mat.all[i+1,j])
if(p.val>1.644) {
if(1.645<=p.val & p.val<1.96) cat("\\textbf{",round(mat.all[i,j],
digits=5),"*}&", sep="") else {
if(1.96<p.val & p.val<2.576) cat("\\textbf{",round(mat.all[i,j],
digits=5),"**}&", sep="") else {
cat("\\textbf{",round(mat.all[i,j], digits=5),"***}&", sep="")
}
}
} else cat(round(mat.all[i,j], digits=5),"&")
} else cat("&")
})
cat(
for (j in length(modelos) ) {
if(!is.na(mat.all[i,j])) {
p.val<-abs(mat.all[i,j]/mat.all[i+1,j])
if(p.val>1.644) {
if(1.645<=p.val & p.val<1.96) cat("\\textbf{",round(mat.all[i,j],
digits=5),"*}", sep="") else {
if(1.96<p.val & p.val<2.576) cat("\\textbf{",round(mat.all[i,j],
digits=5),"**}", sep="") else {
cat("\\textbf{",round(mat.all[i,j], digits=5),"***}", sep="")
}
}
} else cat(round(mat.all[i,j], digits=5))
}
})
cat("\\\\", "\n" )
} else {
cat("&",ifelse(!is.na(mat.all[i,1:(length(dimnames(mat.all)[[2]])-1)]),paste("(\\emph{",round(mat.all[i,1:(length(dimnames(mat.all)[[2]])-1)],
digits=5),"})&",sep=""), paste("&")),
ifelse(!is.na(mat.all[i,length(dimnames(mat.all)[[2]])]),paste("(\\emph{",round(mat.all[i,length(dimnames(mat.all)[[2]])],
digits=5),"})",sep=""),paste(" ")),
"\\\\", sep="", fill=TRUE)}
}
cat("\\hline","\n","\\emph{n}","&")
cat(
for(j in 1:(length(modelos)-1)) {
cat(length(modelos[[j]]$residuals),"&",sep="")
},
for(j in length(modelos)) {
cat(length(modelos[[j]]$residuals), "\\\\", "\n", sep="")
}
)
cat("\\emph{Adj-R$^2$}&")
cat(
for(j in 1:(length(modelos)-1)) {
if (class(modelos[[j]])[1]=="lm")
{cat(round(summary(modelos[[j]])$adj.r.squared,digits=2),"&", sep="")} else {
cat("&")
}
},
for(j in length(modelos)) {
if (class(modelos[[j]])[1]=="lm")
{cat(round(summary(modelos[[j]])$adj.r.squared,digits=2),"\\\\","\n")} else {
cat("\\\\","\n")
}
}
)
cat("\\emph{AIC}&")
cat(
for(j in 1:(length(modelos)-1)) {
if (class(modelos[[j]])[1]=="glm")
{cat(round(summary(modelos[[j]])$aic, digits=0),"&", sep="")} else {
cat("&")
}
},
for(j in length(modelos)) {
if (class(modelos[[j]])[1]=="glm")
{cat(round(summary(modelos[[j]])$aic, digits=0),"\\\\", sep="")} else {
cat("\\\\")
}
}
)
cat("\n","\\hline")
cat("\n","\\multicolumn{3}{l}{\\footnotesize{Signif. codes: 0.01 `***' 0.05
`**' 0.1 `*'}}\\\\")
cat("\n","\\multicolumn{3}{l}{\\footnotesize{Standard errors in
parentheses}}\\\\")
cat("\n","\\end{tabular}","\n","\\end{center}", "\n", "\\end{table}", "\n")
# cat("% Suggestions: Alex R.E. <rruizeu...@ucsd.edu>","\n")
}
## End script
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