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    <p>the way to set up a default is like this:</p> <pre><code>testFunction &lt;- function( requiredParam, optionalParam=TRUE, alsoOptional=123 ) { print(requiredParam) if (optionalParam==TRUE) print("you kept the default for optionalParam") paste("for alsoOptional you entered", alsoOptional) } </code></pre> <p>*<strong><em>EDIT</em>*</strong></p> <p>Oh, ok... so I think I have a better idea of what you are asking. It looks like you're not sure how to bring the optional facet into the ggplot object. How about this:</p> <pre><code> qhist &lt;- function(variable, df, heading, facets=NULL) { d &lt;- qplot(variable, data = df, geom = "histogram", binwidth = 2000, xlab = "Salary", ylab = "Noms") + theme_bw() + scale_x_continuous(limits=c(40000,250000), breaks=c(50000,100000,150000,200000,250000), labels=c("50k","100k","150k","200k","250k")) + opts(title = heading, plot.title = theme_text(face = "bold", size = 14), strip.text.x = theme_text(size = 10, face = 'bold')) # If facets argument supplied add the following, else do not add this code if (is.null(facets)==FALSE) d &lt;- d + facet_wrap(as.formula(paste("~", facets))) d return(d) } </code></pre> <p>I have not tested this code at all. But the general idea is that the facet_wrap expects a formula, so if the facets are passed as a character string you can build a formula with <code>as.formula()</code> and then add it to the plot object. </p> <p>If I were doing it, I would have the function accept an optional facet formula and then pass that facet formula directly into the <code>facet_wrap</code>. That would negate the need for the <code>as.formula()</code> call to convert the text into a formula. </p>
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    1. COcheers, I think I get that, I guess I still don't understand how to use that structure to then include the option in the code that is called by the function. I'll update my question to reflect that.
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      1. USTom McMahon
    2. COIn your function body, try something like `res <- qplot(...) + ...; if (facets) res <- res + facet_wrap(~ facets); return(res)`
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    3. COGiven the rather non-standard evaluation of `variable` in `qplot`, you would be better with `ggplot` syntax and using `aes_string`: `d <- ggplot(data = df, aes_string(x=variable)) + geom_histogram(binwidth = 2000) + ...`
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