{"size":{"Width":491,"Height":196},"appearance":{"background":null,"padding":14,"font":{"family":"Courier New","size":10.0,"bold":false,"italic":false,"underline":false,"strikeout":false,"color":"rgb(0,72,168)"},"border":{"on":true,"size":0.0,"style":"solid","color":"#666"},"text":{"wrap":false,"hAlign":"left","vAlign":"top"}},"outputType":"WIDGET","widgetState":null,"outputs":{"console":"<pre class='debug-source'>&gt;library(flipFormat)\n</pre>\n<pre class='debug-source'>&gt;library(flipTransformations)\n</pre>\n<pre class='debug-source'>&gt;data &lt;- AsNumeric(ProcessQVariables(data.frame(Q9_A, Q9_B)), binary = FALSE)\n</pre>\n<pre class='debug-warning'>Data has been automatically converted to numeric. Values are assigned in the order of the categories: 1, 2, 3... To use alternative numeric values you should instead transform the data prior including it in this analysis (e.g., by changing its structure). Q9. Cola drinking frequency: Coca Cola (Q9_A), Q9. Cola drinking frequency: Diet Coke (Q9_B)</pre>\n<pre class='debug-source'>&gt;if (!is.null(QCalibratedWeight))\n data &lt;- AdjustDataToReflectWeights(data, QCalibratedWeight)\n</pre>\n<pre class='debug-source'>&gt;Variable1 &lt;- data[QFilter,1]\n</pre>\n<pre class='debug-source'>&gt;Variable2 &lt;- data[QFilter,2]\n</pre>\n<pre class='debug-source'>&gt;\n</pre>\n<pre class='debug-source'>&gt;test.output &lt;- wilcox.test(Variable1, Variable2,\n mu = as.numeric(formMu),\n alternative = switch(hypothesis, &quot;Two-sided&quot; = &quot;two.sided&quot;, &quot;Difference &lt; 0&quot; = &quot;less&quot;, &quot;Difference &gt; 0&quot; = &quot;greater&quot;), \n exact = switch(type, &quot;Default&quot; = NULL, &quot;Exact&quot; = TRUE, &quot;Normal approximation&quot; = FALSE, &quot;Normal approximation with continuity correction&quot; = FALSE), \n correct = switch(type, &quot;Default&quot; = TRUE, &quot;Exact&quot; = FALSE, &quot;Normal approximation&quot; = FALSE, &quot;Normal approximation with continuity correction&quot; = TRUE), \n paired = TRUE)\n</pre>\n<pre class='debug-source'>&gt;paired.samples.wilcoxon &lt;- if (formOutput == &quot;Summary&quot;) {\n decimal.places &lt;- if (formDecimals) 8 else NULL\n SignificanceTest(test.output, &quot;Paired Samples Wilcoxon Test&quot;,\n list(formVariable1, formVariable2),\n filter = QFilter, weight = QCalibratedWeight,\n p.value.method = type,\n show.labels = !formNames, decimal.places = decimal.places,\n resample = TRUE)\n} else\n test.output\n</pre>\r\n<div class=\"debug-summarystatistics\"><table>\r\n<tr><th>Started:</th><td class=utc-time>2018-08-29T02:02:50.957Z</td></tr>\r\n<tr><th>Finished:</th><td class=utc-time>2018-08-29T02:02:50.957Z</td></tr>\r\n<tr><th>Total time:</th><td>0.72s</td></tr>\r\n<tr><th>Time executing code:</th><td title=\"0.07s\">0.65s</td></tr>\r\n<tr><th>Other overhead on R server:</th><td>0.47s</td></tr>\r\n<tr><th>Time spent transferring data:</th><td>0.07s</td></tr>\r\n<tr><th>Data sent to R server:</th><td>4.3KB</td></tr>\r\n<tr><th>Data received from R server:</th><td>8.3KB</td></tr>\r\n</table></div>","warning":"Data has been automatically converted to numeric. 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Cola drinking frequency: Diet Coke (Q9_B)","htmlwidgets":"<div id=\"htmlwidget_container\">\n <div id=\"htmlwidget-93a8bfdb3be4dfca0a9e\" class=\"formattable_widget html-widget\" style=\"width:100%;height:500px;\" width=\"100%\" height=\"500\"></div>\n</div>\n<script type=\"application/json\" data-for=\"htmlwidget-93a8bfdb3be4dfca0a9e\">{\"x\":{\"html\":\"<table class = \\\"table table-condensed\\\"style = \\\"margin:0; border-bottom: 2px solid; border-top: 2px solid; font-size:90%;\\\">\\n<h3 class=\\\".h3\\\" style=\\\"color:#3E7DCC; text-align:left; margin-top:0px; margin-bottom:0\\\">Paired Samples Wilcoxon Test<\\/h3>\\n<h4 class=\\\".h4\\\" style=\\\"color:#3E7DCC; text-align:left; margin-top:5px; margin-bottom:0\\\">Significant: p-value &lt; 0.000000000001<\\/h4>\\n<h5 class=\\\".h5\\\" style=\\\"color:#888888; text-align:left; margin-top:5px; margin-bottom:0\\\">Q9. 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