title: How can I run a normality test on count data in the following table?
body: <p>My data is formatted in R as follows:</p>
  <pre><code>        Group Light Dark
  1  Dermaptera    29   29
  2   Oniscidea    72   54
  3     Diptera    54   39
  4 Lepidoptera    17    7
  5  Formicidae    14    6
  6   Hemiptera     3    9
  7   Diplopoda     8   17
  </code></pre>
  <p>I am certain that this data is not normally distributed as it is count data, and histograms show that it is clearly non-normal, for example using <code>hist (dataframe$Light)</code>. When I try to input <code>shapiro.test (dataframe)</code>, I get the error code <code>is.numeric(x) is not TRUE</code>, and when I try to instead input <code>shapiro.test (dataframe$Light)</code> or <code>shapiro.test (dataframe$Light + dataframe$Dark</code>, the p-value shows the result to be of normal distribution.</p>
  <p>How should I instead format this data when putting it into R so that I can test for normality and subsequently test for statistically significant relationships?</p>