{"size":{"Width":491,"Height":181},"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(q24c.wdh)), binary = FALSE)\n</pre>\n<pre class='debug-source'>&gt;if (!is.null(QCalibratedWeight))\n data &lt;- data.frame(AdjustDataToReflectWeights(data, QCalibratedWeight))\n</pre>\n<pre class='debug-source'>&gt;Variable &lt;- data[QFilter, 1]\n</pre>\n<pre class='debug-source'>&gt;\n</pre>\n<pre class='debug-source'>&gt;test.output &lt;- wilcox.test(Variable, \n mu = as.numeric(formMu),\n alternative = switch(hypothesis, &quot;Two-sided&quot; = &quot;two.sided&quot;, &quot;Median &lt; 0&quot; = &quot;less&quot;, &quot;Median &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</pre>\n<pre class='debug-source'>&gt;single.sample.wilcoxon &lt;- if (formOutput == &quot;Summary&quot;) {\n decimal.places &lt;- if (formDecimals) 8 else NULL\n SignificanceTest(test.output, &quot;Single-Sample Wilcoxon Test&quot;,\n list(formOutcomeVariable),\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>2018-08-29T04:27:53.319Z</td></tr>\r\n<tr><th>Finished:</th><td class=utc-time>2018-08-29T04:27:53.319Z</td></tr>\r\n<tr><th>Total time:</th><td>0.64s</td></tr>\r\n<tr><th>Time executing code:</th><td title=\"0.04s\">0.60s</td></tr>\r\n<tr><th>Other overhead on R server:</th><td>0.43s</td></tr>\r\n<tr><th>Time spent transferring data:</th><td>0.04s</td></tr>\r\n<tr><th>Data sent to R server:</th><td>8.4KB</td></tr>\r\n<tr><th>Data received from R server:</th><td>6.9KB</td></tr>\r\n</table></div>","htmlwidgets":"<div id=\"htmlwidget_container\">\n <div id=\"htmlwidget-86fddc4e6f435fac0655\" 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-86fddc4e6f435fac0655\">{\"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\\\">Single-Sample 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\\\">Hours spent watching TV - weekdays<\\/h5>\\n<caption style=\\\"caption-side:bottom;font-style:italic; font-size:90%;\\\">n = 697 cases used in estimation of a total sample size of 725; cases containing missing values have been excluded; null hypothesis: true location shift is less than 1;<\\/caption>\\n <thead>\\n <tr>\\n <th style=\\\"text-align:right;\\\"> V <\\/th>\\n <th style=\\\"text-align:right;\\\"> p-value <\\/th>\\n <\\/tr>\\n <\\/thead>\\n<tbody>\\n <tr>\\n <td style=\\\"text-align:right;\\\"> 95,371.00 <\\/td>\\n <td 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<- AsNumeric(ProcessQVariables(data.frame(q24c.wdh)), binary = FALSE)\nif (!is.null(QCalibratedWeight))\n data <- data.frame(AdjustDataToReflectWeights(data, QCalibratedWeight))\nVariable <- data[QFilter, 1]\n\ntest.output <- wilcox.test(Variable, \n mu = as.numeric(formMu),\n alternative = switch(hypothesis, \"Two-sided\" = \"two.sided\", \"Median < 0\" = \"less\", \"Median > 0\" = \"greater\"), \n exact = switch(type, \"Default\" = NULL, \"Exact\" = TRUE, \"Normal approximation\" = FALSE, \"Normal approximation with continuity correction\" = FALSE), \n correct = switch(type, \"Default\" = TRUE, \"Exact\" = FALSE, \"Normal approximation\" = FALSE, \"Normal approximation with continuity correction\" = TRUE))\nsingle.sample.wilcoxon <- if (formOutput == \"Summary\") {\n decimal.places <- if (formDecimals) 8 else NULL\n SignificanceTest(test.output, \"Single-Sample Wilcoxon Test\",\n list(formOutcomeVariable),\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","lastSavedCode":"library(flipFormat)\nlibrary(flipTransformations)\ndata <- AsNumeric(ProcessQVariables(data.frame(q24c.wdh)), binary = FALSE)\nif (!is.null(QCalibratedWeight))\n data <- data.frame(AdjustDataToReflectWeights(data, QCalibratedWeight))\nVariable <- data[QFilter, 1]\n\ntest.output <- wilcox.test(Variable, \n mu = as.numeric(formMu),\n alternative = switch(hypothesis, \"Two-sided\" = \"two.sided\", \"Median < 0\" = \"less\", \"Median > 0\" = \"greater\"), \n exact = switch(type, \"Default\" = NULL, \"Exact\" = TRUE, \"Normal approximation\" = FALSE, \"Normal approximation with continuity correction\" = FALSE), \n correct = switch(type, \"Default\" = TRUE, \"Exact\" = FALSE, \"Normal approximation\" = FALSE, \"Normal approximation with continuity correction\" = TRUE))\nsingle.sample.wilcoxon <- if (formOutput == \"Summary\") {\n decimal.places <- if (formDecimals) 8 else NULL\n SignificanceTest(test.output, \"Single-Sample Wilcoxon Test\",\n list(formOutcomeVariable),\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","highlightedCodeSpans":[{"start":96,"length":8,"index":0},{"start":137,"length":17,"index":6},{"start":213,"length":17,"index":6},{"start":250,"length":7,"index":6},{"start":321,"length":6,"index":4},{"start":355,"length":10,"index":4},{"start":464,"length":4,"index":4},{"start":618,"length":4,"index":4},{"start":780,"length":10,"index":4},{"start":833,"length":12,"index":4},{"start":950,"length":19,"index":4},{"start":1002,"length":7,"index":6},{"start":1020,"length":17,"index":6},{"start":1077,"length":4,"index":4},{"start":1119,"length":9,"index":4}],"tableTransformations":"<TabularTransformer>\r\n <TabularTransform type=\"Truncation\" truncationHeaderType=\"Column\" />\r\n <TabularTransform 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