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    <p>@KennyTM got it. @David, you should avoid <code>options(digits = 1)</code> since it will affect all of your calculations (it will suppress decimals in each output afterwards). So use <code>round()</code> function after applying the <code>weighted.mean()</code>. Something like this: </p> <pre><code>\Sexpr{round(p.mean(x))} </code></pre> <p>And <strong>do not</strong> use <code>print()</code>, but <code>return()</code>. Here's why:</p> <pre><code>&gt; set.seed(1234) &gt; x &lt;- rnorm(100) &gt; foo &lt;- function(x) { res &lt;- mean(x) + 5 print(res) } &gt; foo(x) [1] 5 &gt; foo(x) + 10 [1] 5 [1] 15 </code></pre> <p>Use <code>return()</code> or just type the resulting variable in the last line:</p> <pre><code>&gt; bar &lt;- function(x) { res &lt;- mean(x) + 5 return(res) } &gt; bar(x) + 10 [1] 15 </code></pre> <p>So, rewrite your function, and be sure to use <code>as.character()</code>... you have all the bits, now just put it all together.</p> <p>P.S.</p> <p>I'm not sure how you function works... I've never used weighed mean in my analysis. The bit that's puzzling me the most is <code>weight=weight</code>. Wouldn't it be nicer to put one more argument in function? Frankly, I'm still amazed by the fact that your function is giving you right result... probably because you have <code>weight</code> variable defined prior to function definition. <strong>[EDIT]</strong> You <strong>will not</strong> get the weighted mean with your function if you don't have <code>weight</code> function predefined, but "regular" mean!</p> <p>I hope this one helped you!</p> <p>Kind regards, Aleksandar</p>
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    1. COThanks, Aleksandar. I rewrote the function like this: p.mean<- function (x) { mmm<-weighted.mean(x, weight=weight, na.rm=T) return(round(100*mmm)) } I prespecified the weight variable because I am attempting to minimize programming as I am type. Because all of the datasets that I work with have their weight variable labeled 'weight', this makes my writing just a tiny bit more efficient.
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