{"appearance":{"background":"white","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(flipRegression)\n</pre>\n<pre class='debug-source'>&gt;wgt &lt;- if(formMissing == &quot;Use partial data (pairwise correlations)&quot; | formType == &quot;Ordered Logit&quot; | formType == &quot;Multinomial Logit&quot;)\n QCalibratedWeight else QPopulationWeight \n</pre>\n<pre class='debug-source'>&gt;if(formType == &quot;Multinomial Logit&quot;)\n formDetailed = TRUE\n</pre>\n<pre class='debug-source'>&gt;if(!(formType == &quot;Linear&quot; || formType == &quot;Poisson&quot;) || formMissing == &quot;Use partial data (pairwise correlations)&quot; || formMissing == &quot;Multiple imputation&quot;)\n formRobustSE = FALSE\n</pre>\n<pre class='debug-source'>&gt;if(formMissing != &quot;Multiple imputation&quot;)\n formAuxiliaryVariables = NULL\n</pre>\n<pre class='debug-source'>&gt;glm.2 &lt;- Regression(q4 ~ q5b + q5c + q5d + q5e + q5i + q5g + q5h + q5f + q5a, weights = wgt, subset = QFilter, missing = formMissing, detail = formDetailed, robust.se = formRobustSE, type = formType, show.labels = !formNames, auxiliary = formAuxiliaryVariables)\n</pre>\n<pre class='debug-warning'>Outcome variable is a factor; it has been made numeric.\n Consider using another type of regression (e.g., Ordered Logit or Binary Logit).</pre>\n<pre class='debug-warning'>Data has been automatically converted from a categorical to numeric variable within R. 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 Question Type): Cola Attitude (q4)</pre>\n<pre class='debug-warning'>Unusual observations detected. The largest hat value is 0.00804, which is higher than the threshhold of 0.00611 = 2 * (k + 1) / n.\n</pre>\n<pre class='debug-warning'>The outcome variable appears to contain categories (i.e., the values are non-negative integers). A limited dependent variable regression may be more appropriate (e.g., Quasi-Poisson Regression, Ordered Logit, Multinomial Logit).</pre>\r\n<div class=\"debug-summarystatistics\">\r\n<table>\r\n<tr><th>Total time:</th><td>6.68s</td></tr>\r\n<tr><th>Time on R server:</th><td title=\"rApacheServe 6.61s (pre 0.01s, post 0.00s) httpget_code() setup for eval 0.02s session$eval 5.69s (pre 0.00s, post 2.44s) unexplained 0.89s apparmor forking (pre 0.03s, post 1.26s)\">6.61s</td></tr>\r\n<tr><th>Time evaluating code:</th><td>1.96s</td></tr>\r\n<tr><th>Bytes sent:</th><td>50,377</td></tr>\r\n<tr><th>Bytes received:</th><td>1,137,927</td></tr>\r\n</table>\r\n</div>","warning":"Outcome variable is a factor; it has been made numeric.\n Consider using another type of regression (e.g., Ordered Logit or Binary Logit).\r\nData has been automatically converted from a categorical to numeric variable within R. 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 Question Type): Cola Attitude (q4)\r\nUnusual observations detected. The largest hat value is 0.00804, which is higher than the threshhold of 0.00611 = 2 * (k + 1) / n.\n\r\nThe outcome variable appears to contain categories (i.e., the values are non-negative integers). A limited dependent variable regression may be more appropriate (e.g., Quasi-Poisson Regression, Ordered Logit, Multinomial Logit).","htmlwidgets":"<div id=\"htmlwidget_container\">\n <div id=\"htmlwidget-68b227eb037f0341689a\" 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-68b227eb037f0341689a\">{\"x\":{\"html\":\"<table class = \\\"table table-condensed\\\"style = \\\"margin:0; border-bottom: 2px solid; border-top: 2px solid; font-size:90%;\\\">\\n<caption><h3 class=\\\".h3\\\" style=\\\"color:#3E7DCC; text-align:left; margin-top:0px; margin-bottom:0\\\">Linear Regression: Cola Attitude\\u003c/h3>\\n<caption style=\\\"caption-side:bottom;font-style:italic; font-size:90%;\\\">n = 3600 cases used in estimation of a total sample size of 4200; cases containing missing values have been excluded; R-squared: 0.1766; Correct predictions: 32.92%; AIC: 10,928; 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