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  1. PO
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    <p>For <code>lme</code>, my personal version is below; you can download it with other similar addons, e.g. to extract <code>\Sexpr{}</code> string for p-values of lme/lm/glm tables as Dmisc from </p> <p><a href="http://www.menne-biomed.de/download" rel="nofollow">http://www.menne-biomed.de/download</a> </p> <p>This is very personalized, but if I like the rounding to really significant digits a lot. Sorry, package nlme does all I need (and more than lme/gaussian), so there is not lme4 version yet.</p> <pre><code>"latex.summary.lme" &lt;- function(object, title="",parameter=NULL, file="", shadep=0.05,caption=NULL,label=NULL,ctable=FALSE,form=NULL, interceptp = FALSE, moredec=0, where="!htbp", ...) { # This function can be mis-used for gls models when an explicit # form is given options(Hverbose=FALSE) require('Hmisc') require('nlme') dd &lt;- object$dims method &lt;- object$method fixF &lt;- object$call$fixed xtTab &lt;- as.data.frame(object$tTable) sigp &lt;- xtTab[,"p-value"]&lt; shadep # cells that will be shaded if (!interceptp){ sigp[1] &lt;- FALSE # intercept will never be shaded # Replace small significances, discarding p-value for (Intercept) xtTab[1,"p-value"] = 1 # we do not show it anyway, easier formatting } pval &lt;- format(zapsmall(xtTab[, "p-value"],4)) pval[as.double(pval) &lt; 0.0001] &lt;- "$&lt; .0001$" xtTab[, "p-value"] &lt;- pval xtTab[,"t-value"] &lt;- round(xtTab[,"t-value"],1) if (ncol(xtTab) == 5) # not for gls xtTab[,"DF"] &lt;- as.integer(xtTab[,"DF"]) # extract formula if (is.null(form)) { if (!is.null(object$terms)) { form=object$terms } else { form = formula(object) } } if (is.null(parameter)) { parameter=as.character(form[[2]]) } if (any(wchLv &lt;- (as.double(levels(xtTab[, "p-value"])) == 0))) { levels(xtTab[, "p-value"])[wchLv] &lt;- "&lt;.0001" } if (is.null(label)) label &lt;- lmeLabel("contr",form) form &lt;- deparse(removeFormFunc(as.formula(form)),width.cutoff=500) form &lt;- paste(sub('~','$\\\\sim$ ',form),sep="") # All I( in factors are replaced with (This could be improved) row.names(xtTab) &lt;- gsub("I\\(","(",dimnames(object$tTable)[[1]]) row.names(xtTab) &lt;- gsub("\\^2","\\texttwosuperior",row.names(xtTab)) # Determine base level levs &lt;- lapply(object$contrasts,function(object) {dimnames(object)[[1]][1]}) levnames &lt;- paste(names(levs),levs,sep=" = ",collapse=", ") # Try to locate numeric covariables # v1 &lt;- all.vars(formula(object))[-1] ## Changed 8.10.2008, not regression-tested v1 &lt;- all.vars(form)[-1] numnames &lt;- v1[is.na(match(v1,names(levs)))] if (length(numnames &gt; 0)) { numnames &lt;- paste(numnames," = 0",collapse=", ") levnames &lt;- paste(levnames,numnames,sep=", ") } if (is.null(caption)){ # TODO: Allow %s substitution if (inherits(object,"lme")) md = "Mixed model (lme)" else if (inherits(object,"gls")) md = "Extended linear model (gls)" else md = "Linear model" caption &lt;- paste(md," contrast table for \\emph{", parameter, "} (model ",form, "). The value in row (Intercept) gives the reference value for ", levnames,".",sep='') } caption.lot &lt;- paste("Contrast table for ",parameter, " by ", levnames) ndec &lt;- pmax(round(1-log10(xtTab[,2]+0.000001)+moredec),0) xtTab[,1] &lt;- formatC(round(xtTab[,1],ndec)) xtTab[,2] &lt;- formatC(round(xtTab[,2],ndec)) if (ncol(xtTab) == 5) { names(xtTab) &lt;- c("Value","StdErr","DF","t","p") pcol = 5 } else {# gls misuse names(xtTab) &lt;- c("Value","StdErr","t","p") pcol = 4 } # Only show intercept p/t when explicitely required if (!interceptp){ xtTab[1,pcol-1] &lt;- NA xtTab[1,pcol] &lt;- '' } cellTex &lt;- matrix(rep("", NROW(xtTab) * NCOL(xtTab)), nrow=NROW(xtTab)) cellTex[sigp,pcol] &lt;- "cellcolor[gray]{0.9}" rowlabel &lt;- ifelse(nchar(parameter) &gt;9,"",parameter) latex(xtTab, title=title, file=file, caption=caption,caption.lot=caption.lot, caption.loc="bottom", label=label, cellTexCmds = cellTex, rowlabel=rowlabel, ctable=ctable, where=where, booktabs = !ctable, numeric.dollar=FALSE,col.just=rep("r",5),...) } "latex.lme" &lt;- function(object, title="",parameter=NULL,file="",shadep=0.05, caption=NULL,label=NULL,ctable=FALSE,form=NULL, interceptp=FALSE, moredec= 0, where="!htbp",...) { options(Hverbose=FALSE) require('Hmisc') require('nlme') latex.summary.lme(summary(object),title=title,parameter=parameter, file=file, shadep=shadep, caption=caption, label=label, ctable=ctable, form=form, moredec=moredec, where=where,...) } </code></pre>
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    1. POHow extract regression results from lme, lmer, glmer to Latex?
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    1. USDieter Menne
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    1. COThanks, Dieter! This is really helpful.
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      1. USuser1172558
    2. COI'm getting an error when I use your function. Could you help me? The error is 'Error in `[.data.frame`(xtTab, , "p-value") : undefined columns selected'
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    3. COCould it be a language problem? Check if in your locale there is a columen "p-value" when you so a summary(lme(....))
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      1. USDieter Menne
 

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