{"size":{"Width":646,"Height":506},"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":"TABLE","widgetState":null,"outputs":{"text":" mean se_mean sd n_eff Rhat\nApple (Mean) 3.2678061 0.05659686 0.5161762 83 1.0907420\nMicrosoft (Mean) 1.1104234 0.02098479 0.2066935 97 1.0544879\nIBM (Mean) -2.4129099 0.02346545 0.1871542 64 1.1047976\nGoogle (Mean) 2.4818759 0.02491136 0.2192262 77 1.0649997\nIntel (Mean) -1.2308037 0.01362035 0.1669098 150 1.0049747\nSamsung (Mean) 1.9549955 0.05090849 0.3022005 35 1.1261207\nSony (Mean) 0.9667066 0.01530145 0.1838971 144 0.9929296\nDell (Mean) -1.6224222 0.01734610 0.2061223 141 1.0205998\nYahoo (Mean) -2.7656298 0.03115334 0.1749966 32 1.1012188\nApple (St. Dev.) 6.8478618 0.09462130 0.4804492 26 1.1477424\nMicrosoft (St. Dev.) 2.9092548 0.03612630 0.2031671 32 1.1222013\nIBM (St. Dev.) 2.3705446 0.03672530 0.1848711 25 1.1600460\nGoogle (St. Dev.) 2.8858319 0.03050471 0.2238050 54 1.1227760\nIntel (St. Dev.) 2.1432621 0.02895817 0.1670949 33 1.1007388\nSamsung (St. Dev.) 4.3140655 0.03451227 0.2964888 74 1.0675699\nSony (St. Dev.) 2.8738974 0.04182639 0.2087824 25 1.1218195\nDell (St. Dev.) 3.0454316 0.01826658 0.1821089 99 1.0892988\nYahoo (St. Dev.) 2.2248620 0.02693637 0.1862980 48 1.1682940\n","console":"<pre class='debug-source'>&gt;max.diff.parameter.statistics &lt;- flipMaxDiff::ExtractParameterStats(max.diff)\n</pre>\n<pre class='debug-out'>Inference for the input samples (8 chains: each with iter=50; warmup=25):\n\n mean se_mean sd n_eff Rhat\ntheta[1] 3.3 0.1 0.5 83 1.1\ntheta[2] 1.1 0.0 0.2 97 1.1\ntheta[3] -2.4 0.0 0.2 64 1.1\ntheta[4] 2.5 0.0 0.2 77 1.1\ntheta[5] -1.2 0.0 0.2 150 1.0\ntheta[6] 2.0 0.1 0.3 35 1.1\ntheta[7] 1.0 0.0 0.2 144 1.0\ntheta[8] -1.6 0.0 0.2 141 1.0\ntheta[9] -2.8 0.0 0.2 32 1.1\nsigma[1] 6.8 0.1 0.5 26 1.1\nsigma[2] 2.9 0.0 0.2 32 1.1\nsigma[3] 2.4 0.0 0.2 25 1.2\nsigma[4] 2.9 0.0 0.2 54 1.1\nsigma[5] 2.1 0.0 0.2 33 1.1\nsigma[6] 4.3 0.0 0.3 74 1.1\nsigma[7] 2.9 0.0 0.2 25 1.1\nsigma[8] 3.0 0.0 0.2 99 1.1\nsigma[9] 2.2 0.0 0.2 48 1.2\n\nFor each parameter, n_eff is a crude measure of effective sample size,\nand Rhat is the potential scale reduction factor on split chains (at \nconvergence, Rhat=1).\n [1] &quot;theta[1]&quot; &quot;theta[2]&quot; &quot;theta[3]&quot; &quot;theta[4]&quot; &quot;theta[5]&quot; &quot;theta[6]&quot;\n [7] &quot;theta[7]&quot; &quot;theta[8]&quot; &quot;theta[9]&quot; &quot;sigma[1]&quot; &quot;sigma[2]&quot; &quot;sigma[3]&quot;\n[13] &quot;sigma[4]&quot; &quot;sigma[5]&quot; &quot;sigma[6]&quot; &quot;sigma[7]&quot; &quot;sigma[8]&quot; &quot;sigma[9]&quot;\n [1] &quot;Apple (Mean)&quot; &quot;Microsoft (Mean)&quot; &quot;IBM (Mean)&quot; \n [4] &quot;Google (Mean)&quot; &quot;Intel (Mean)&quot; &quot;Samsung (Mean)&quot; \n [7] &quot;Sony (Mean)&quot; &quot;Dell (Mean)&quot; &quot;Yahoo (Mean)&quot; \n[10] &quot;Apple (St. Dev.)&quot; &quot;Microsoft (St. Dev.)&quot; &quot;IBM (St. Dev.)&quot; \n[13] &quot;Google (St. Dev.)&quot; &quot;Intel (St. Dev.)&quot; &quot;Samsung (St. Dev.)&quot; \n[16] &quot;Sony (St. Dev.)&quot; &quot;Dell (St. Dev.)&quot; &quot;Yahoo (St. Dev.)&quot; \n</pre>\n<pre class='debug-out'> mean se_mean sd n_eff Rhat\nApple (Mean) 3.2678061 0.05659686 0.5161762 83 1.0907420\nMicrosoft (Mean) 1.1104234 0.02098479 0.2066935 97 1.0544879\nIBM (Mean) -2.4129099 0.02346545 0.1871542 64 1.1047976\nGoogle (Mean) 2.4818759 0.02491136 0.2192262 77 1.0649997\nIntel (Mean) -1.2308037 0.01362035 0.1669098 150 1.0049747\nSamsung (Mean) 1.9549955 0.05090849 0.3022005 35 1.1261207\nSony (Mean) 0.9667066 0.01530145 0.1838971 144 0.9929296\nDell (Mean) -1.6224222 0.01734610 0.2061223 141 1.0205998\nYahoo (Mean) -2.7656298 0.03115334 0.1749966 32 1.1012188\nApple (St. Dev.) 6.8478618 0.09462130 0.4804492 26 1.1477424\nMicrosoft (St. Dev.) 2.9092548 0.03612630 0.2031671 32 1.1222013\nIBM (St. Dev.) 2.3705446 0.03672530 0.1848711 25 1.1600460\nGoogle (St. Dev.) 2.8858319 0.03050471 0.2238050 54 1.1227760\nIntel (St. Dev.) 2.1432621 0.02895817 0.1670949 33 1.1007388\nSamsung (St. Dev.) 4.3140655 0.03451227 0.2964888 74 1.0675699\nSony (St. Dev.) 2.8738974 0.04182639 0.2087824 25 1.1218195\nDell (St. Dev.) 3.0454316 0.01826658 0.1821089 99 1.0892988\nYahoo (St. Dev.) 2.2248620 0.02693637 0.1862980 48 1.1682940\n</pre>\r\n<div class=\"debug-summarystatistics\">\r\n<table>\r\n<tr><th>Total time:</th><td>1.45s</td></tr>\r\n<tr><th>Time on R server:</th><td title=\"rApacheServe 1.42s (pre 0.03s, post 0.00s) httpget_code() setup for eval 0.00s session$eval 1.35s (pre 0.00s, post 0.02s) unexplained 0.08s apparmor forking (pre 0.00s, post 0.00s)\">1.42s</td></tr>\r\n<tr><th>Time evaluating code:</th><td>1.21s</td></tr>\r\n<tr><th>Bytes sent:</th><td>1,664,060</td></tr>\r\n<tr><th>Bytes received:</th><td>11,530</td></tr>\r\n</table>\r\n</div>","message":"Loading required package: 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