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    <p>The error you show is because the output from <code>ks.test</code> is not tabular output nor in a format that <code>xtable</code> understands. The output looks like this:</p> <pre><code>&gt; x &lt;- rnorm(50) &gt; y &lt;- runif(30) &gt; # Do x and y come from the same distribution? &gt; (res &lt;- ks.test(x, y)) Two-sample Kolmogorov-Smirnov test data: x and y D = 0.46, p-value = 0.0004387 alternative hypothesis: two-sided </code></pre> <p>Which isn't really tabular. For you to get this to work with <code>ks.test</code> you'd need to write a method for <code>xtable</code> for class <code>"htest"</code> (which is what type of object is returned by <code>ks.test</code>. Several methods already exist for other types of object:</p> <pre><code>&gt; require(xtable) Loading required package: xtable &gt; methods(xtable) [1] xtable.anova* xtable.aov* [3] xtable.aovlist* xtable.coxph* [5] xtable.data.frame* xtable.glm* [7] xtable.lm* xtable.matrix* [9] xtable.prcomp* xtable.summary.aov* [11] xtable.summary.aovlist* xtable.summary.glm* [13] xtable.summary.lm* xtable.summary.prcomp* [15] xtable.table* xtable.ts* [17] xtable.zoo* Non-visible functions are asterisked </code></pre> <p>Class <code>"htest"</code> is reasonably common (it is used for most it not all of R classical tests), so I would venture that the absence of an <code>xtable.htest</code> is that the results from a hypothesis test like this don't lend themselves to tabular output - there are only two numbers of interest in the KS test output for example.</p> <p>As I said in my comment, I would just quote the test statistic <code>D</code> and the <code>p-value</code> in-line in the text.</p> <p>If you have multiple tests and want to summarise them, collect the outputs from several <code>ks.test</code> runs into a data frame and then use <code>xtable</code> on that data frame (which will work as it there is a method for that). To combine to a number of ks tests into a table (a data frame) you could do something like</p> <pre><code>df.res &lt;- data.frame(D = c(res$statistic, res$statistic), `p value` = c(res$p.value, res$p.value)) xtable(df.res) </code></pre> <p>which gives:</p> <pre><code>&gt; df.res &lt;- data.frame(D = c(res$statistic, res$statistic), + `p value` = c(res$p.value, res$p.value)) &gt; xtable(df.res) % latex table generated in R 2.15.2 by xtable 1.7-0 package % Wed Oct 31 09:19:16 2012 \begin{table}[ht] \begin{center} \begin{tabular}{rrr} \hline &amp; D &amp; p.value \\ \hline 1 &amp; 0.46 &amp; 0.00 \\ 2 &amp; 0.46 &amp; 0.00 \\ \hline \end{tabular} \end{center} \end{table} </code></pre> <p>Then look at <code>print.xtable</code> and the manual for <strong>xtable</strong> the package for details of how to format the names of the data frame etc to get nicer output in the LaTeX output.</p>
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    1. POCreate publishable tables from stat outputs
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    1. USGavin Simpson
    1. USGavin Simpson
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    1. COYeah, I have quite a few outputs I would like to combine in a table. Thanks, I will try that.
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    2. COOk, I have added an example of doing that.
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