{"size":{"Width":576,"Height":488},"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(flipMaxDiff)\n</pre>\n<pre class='debug-message'>Loading required package: Rcpp\n</pre>\n<pre class='debug-source'>&gt;df &lt;- if (exists(&quot;formCovariates&quot;)) {\n names(formCovariates) &lt;- sapply(formCovariates, function(x) attr(x, &quot;label&quot;))\n data.frame(formCovariates)\n} else\n NULL\n</pre>\n<pre class='debug-source'>&gt; \n</pre>\n<pre class='debug-source'>&gt;max.diff &lt;- FitMaxDiff(design = if(exists(&quot;formDesign&quot;)) formDesign else if (exists(&quot;formURL&quot;)) read.csv(formURL),\n version = if (is.null(formVersion)) rep(1, length(formBest[[1]])) else formVersion,\n best = if (exists(&quot;formBest&quot;)) data.frame(formBest),\n worst = if (exists(&quot;formWorst&quot;)) data.frame(formWorst),\n design.alternatives = data.frame(formAlternatives),\n design.version = formDesignVersion,\n alternative.names = if (formNames != &quot;&quot;) formNames else NULL,\n n.classes = if(exists(&quot;formClasses&quot;)) formClasses else 1,\n subset = if (all(QFilter)) NULL else QFilter,\n weights = QPopulationWeight,\n characteristics = df,\n lc = if (exists(&quot;formLC&quot;)) formLC else TRUE,\n output = if (formType == &quot;Varying coefficients&quot;) &quot;Probabilities&quot; else &quot;Parameters&quot;,\n tasks.left.out = formCV,\n is.tricked = if(exists(&quot;formModel&quot;)) formModel == &quot;Tricked logit&quot; else TRUE,\n algorithm = if (formType == &quot;Hierarchical Bayes&quot;) &quot;HB-Stan&quot; else &quot;Default&quot;,\n hb.iterations = if(exists(&quot;formIterations&quot;)) formIterations else 0,\n hb.chains = if(exists(&quot;formChains&quot;)) formChains else 0,\n hb.max.tree.depth = if(exists(&quot;formMaxTreeDepth&quot;)) formMaxTreeDepth else 0)\n</pre>\r\n<div class=\"debug-summarystatistics\"><table>\r\n<tr><th>Started:</th><td class=utc-time>2018-11-16T05:06:50.093Z</td></tr>\r\n<tr><th>Finished:</th><td class=utc-time>2018-11-16T05:08:00.093Z</td></tr>\r\n<tr><th>Total time:</th><td>1m 10.99s</td></tr>\r\n<tr><th>Time executing code:</th><td title=\"0.08s\">1m 10.91s</td></tr>\r\n<tr><th>Other overhead on R server:</th><td>1m 10.10s</td></tr>\r\n<tr><th>Time spent transferring data:</th><td>0.08s</td></tr>\r\n<tr><th>Data sent to R server:</th><td>11.9KB</td></tr>\r\n<tr><th>Data received from R server:</th><td>612KB</td></tr>\r\n</table></div>","message":"Loading required package: Rcpp\n","htmlwidgets":"<div id=\"htmlwidget_container\">\n <div id=\"htmlwidget-876bd71d99ecf8d22eff\" 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-876bd71d99ecf8d22eff\">{\"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\\\">MaxDiff: Hierarchical Bayes<\\/h3>\\n<h5 class=\\\".h5\\\" style=\\\"color:#888888; text-align:left; margin-top:5px; margin-bottom:0\\\">In-sample accuracy: 93.3%; mean RLH: 0.63<\\/h5>\\n<caption style=\\\"caption-side:bottom;font-style:italic; font-size:90%;\\\"><p style='margin-bottom:5px;'>n = 302 cases used in estimation; number of questions: 6; number of alternatives: 10; alternatives per question: 5; <\\/p><p style='margin-bottom:5px;'>accuracy: 93.3%; mean RLH: 0.63; g.mean RLH: 0.60; certainty: 68%; log-likelihood: -1,854; BIC: 4,015; <\\/p><p style='margin-bottom:5px;'>lowest effective sample size (Mean): 31.6 at Yahoo; highest Rhat (Mean): 1.1 at Samsung; lowest effective sample size (St. Dev.): 24.9 at Yahoo; highest Rhat (St. Dev.): 1.2 at Yahoo; time taken to run analysis: 1 minute and 5 seconds; column width: 0.48; <\\/p><\\/caption>\\n <thead>\\n <tr>\\n <th style=\\\"text-align:left;\\\"> <\\/th>\\n <th style=\\\"text-align:center;\\\"> Respondent Coefficients <\\/th>\\n <th style=\\\"text-align:right;\\\"> Mean <\\/th>\\n <th style=\\\"text-align:right;\\\"> Standard Deviation <\\/th>\\n <\\/tr>\\n <\\/thead>\\n<tbody>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> Apple <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:center;\\\"> <span id=\\\"htmlwidget-52bd026db2a8d5e07b04\\\" class=\\\"sparkline html-widget\\\"><\\/span>\\n<script type=\\\"application/json\\\" 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<- if (exists(\"formCovariates\")) {\n names(formCovariates) <- sapply(formCovariates, function(x) attr(x, \"label\"))\n data.frame(formCovariates)\n} else\n NULL\n \nmax.diff <- FitMaxDiff(design = if(exists(\"formDesign\")) formDesign else if (exists(\"formURL\")) read.csv(formURL),\n version = if (is.null(formVersion)) rep(1, length(formBest[[1]])) else formVersion,\n best = if (exists(\"formBest\")) data.frame(formBest),\n worst = if (exists(\"formWorst\")) data.frame(formWorst),\n design.alternatives = data.frame(formAlternatives),\n design.version = formDesignVersion,\n alternative.names = if (formNames != \"\") formNames else NULL,\n n.classes = if(exists(\"formClasses\")) formClasses else 1,\n subset = if (all(QFilter)) NULL else QFilter,\n weights = QPopulationWeight,\n characteristics = df,\n lc = if (exists(\"formLC\")) formLC else TRUE,\n output = if (formType == \"Varying coefficients\") \"Probabilities\" else \"Parameters\",\n tasks.left.out = formCV,\n is.tricked = if(exists(\"formModel\")) formModel == \"Tricked logit\" else TRUE,\n algorithm = if (formType == \"Hierarchical Bayes\") \"HB-Stan\" else \"Default\",\n hb.iterations = if(exists(\"formIterations\")) formIterations else 0,\n hb.chains = if(exists(\"formChains\")) formChains else 0,\n hb.max.tree.depth = if(exists(\"formMaxTreeDepth\")) formMaxTreeDepth else 0)","lastSavedCode":"library(flipMaxDiff)\ndf <- if (exists(\"formCovariates\")) {\n names(formCovariates) <- sapply(formCovariates, function(x) attr(x, \"label\"))\n data.frame(formCovariates)\n} else\n NULL\n \nmax.diff <- FitMaxDiff(design = if(exists(\"formDesign\")) formDesign else if (exists(\"formURL\")) read.csv(formURL),\n version = if (is.null(formVersion)) rep(1, length(formBest[[1]])) else formVersion,\n best = if (exists(\"formBest\")) data.frame(formBest),\n worst = if (exists(\"formWorst\")) data.frame(formWorst),\n design.alternatives = data.frame(formAlternatives),\n design.version = formDesignVersion,\n alternative.names = if (formNames != \"\") formNames else NULL,\n n.classes = if(exists(\"formClasses\")) formClasses else 1,\n subset = if (all(QFilter)) NULL else QFilter,\n weights = QPopulationWeight,\n characteristics = df,\n lc = if (exists(\"formLC\")) formLC else TRUE,\n output = if (formType == \"Varying coefficients\") \"Probabilities\" else \"Parameters\",\n tasks.left.out = formCV,\n is.tricked = if(exists(\"formModel\")) formModel == \"Tricked logit\" else TRUE,\n algorithm = if (formType == \"Hierarchical Bayes\") \"HB-Stan\" else \"Default\",\n hb.iterations = if(exists(\"formIterations\")) formIterations else 0,\n hb.chains = if(exists(\"formChains\")) formChains else 0,\n hb.max.tree.depth = if(exists(\"formMaxTreeDepth\")) formMaxTreeDepth else 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