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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 13 Aug 2010 13:50:29 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Aug/13/t128170748421h7mbqdqp4ytis.htm/, Retrieved Sun, 05 May 2024 21:17:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78746, Retrieved Sun, 05 May 2024 21:17:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact135

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Harrell-Davis] [2010-08-13 13:50:29] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
244
243
242
240
260
259
244
234
235
235
236
238
240
233
233
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111
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112
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74
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91
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93
76
64
32
62
69
69
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68
59
66
73
70
57
48
22
64
74
67
61
61
52
54
69
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22
69
78
74
63
67
59
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77
58
54
32
78
86
84
78
72
64
62
72

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78746&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78746&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78746&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0124.27122850156144.92961086633485
0.0229.70706500220038.58399020191415
0.0336.41531986166689.63905959930962
0.0442.60498522545968.6691933279894
0.0547.43924422374246.59877870856584
0.0650.84805319680054.73084787231022
0.0753.19956444862943.66201581342147
0.0854.93057833860043.20657965738021
0.0956.33562805285122.98582131007305
0.157.55321313555942.79656609051220
0.1158.63465789459592.60309265783707
0.1259.60395349290922.43711300592998
0.1360.48449537727322.33020065939806
0.1461.30285969920442.29113039821839
0.1562.08416501732512.30816428736396
0.1662.84738685726862.35879488057301
0.1763.60314350421422.41710248687513
0.1864.35380671060452.45905818185501
0.1965.09532501284132.46784783586019
0.265.82026645816852.43850423475900
0.2166.52149268218932.38021948286337
0.2267.19560791565672.31501810180329
0.2367.84523588817662.27196997197079
0.2468.47948311752832.27826009123904
0.2569.11257677623782.35136286663368
0.2669.7613342379532.49416125165030
0.2770.44251629600992.69803558728404
0.2871.17106429932832.95159386694707
0.2971.95976421662353.24746194453516
0.372.82023339214653.58727028719705
0.3173.76456507584573.98153059414567
0.3274.80670751723424.44506501297658
0.3375.9627782849134.98900203162703
0.3477.24995577455085.61461481548361
0.3578.68418161621136.308410663999
0.3680.27744227452987.04331278512233
0.3782.03568580475647.78574368709644
0.3883.95834815933268.50447808699927
0.3986.03999776310129.18251224576638
0.488.27387116397149.8248027055604
0.4190.656294407157710.4591927835855
0.4293.19044595021211.1305408220542
0.4395.88785766172211.8843970288870
0.4498.76657273982112.7474395129406
0.45101.84588702347713.7106563692055
0.46105.13880341942814.7217430853961
0.47108.64432124732615.6916836909684
0.48112.34207139257616.5150481770441
0.49116.19136732826517.0954520920851
0.5120.13552378355817.3707179331160
0.51124.11065540796917.3313639385734
0.52128.05667060628217.0228927901915
0.53131.92738970409316.5368649733137
0.54135.69698057467115.9857949099927
0.55139.36116057314515.4737189866384
0.56142.93339556869115.0719047037081
0.57146.43793461441314.8063449322592
0.58149.90231214413114.6632376658727
0.59153.35163854865514.6082752656841
0.6156.80578873929314.6087674804009
0.61160.27909940666114.6427791583834
0.62163.78112943522314.7003922444995
0.63167.31691150106214.7706104229544
0.64170.88592343549514.8318420655249
0.65174.48024650200014.8468581444170
0.66178.08334014452814.7698518400231
0.67181.67099049431614.5648874521331
0.68185.21517286636214.2201921904778
0.69188.69019233557713.7585786446715
0.7192.07920097369813.2338019546686
0.71195.37865012645912.7154228488762
0.72198.59870125121012.2679232291088
0.73201.7589383334511.9263214356900
0.74204.88040592765911.6831603208211
0.75207.97639845700411.4876344765301
0.76211.0449800522311.2629159898629
0.77214.06563905566210.9299681627959
0.78217.00095915767710.4314107945347
0.79219.8023925474219.74496344685513
0.8222.4180540466748.88279486589025
0.81224.8005182945267.8833843866453
0.82226.9136849352556.80065432992595
0.83228.7388737071575.69850170496396
0.84230.2803498865104.65153189533077
0.85231.5692970688863.74319718226635
0.86232.6639083201363.05667107451874
0.87233.6432255145942.65490452159453
0.88234.5942001873542.544506961212
0.89235.5943642027042.65338617084625
0.9236.6950337343332.85716289182821
0.91237.911181527623.02870020339069
0.92239.2241855061593.07806433740490
0.93240.6039299844822.98639870907060
0.94242.0578684893802.84505041721517
0.95243.710329678422.90516097864112
0.96245.8829510028283.53371395535985
0.97249.0448782338224.81363045446323
0.98253.3476609756065.81707718934491
0.99257.7214151621814.29735743919865

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 24.2712285015614 & 4.92961086633485 \tabularnewline
0.02 & 29.7070650022003 & 8.58399020191415 \tabularnewline
0.03 & 36.4153198616668 & 9.63905959930962 \tabularnewline
0.04 & 42.6049852254596 & 8.6691933279894 \tabularnewline
0.05 & 47.4392442237424 & 6.59877870856584 \tabularnewline
0.06 & 50.8480531968005 & 4.73084787231022 \tabularnewline
0.07 & 53.1995644486294 & 3.66201581342147 \tabularnewline
0.08 & 54.9305783386004 & 3.20657965738021 \tabularnewline
0.09 & 56.3356280528512 & 2.98582131007305 \tabularnewline
0.1 & 57.5532131355594 & 2.79656609051220 \tabularnewline
0.11 & 58.6346578945959 & 2.60309265783707 \tabularnewline
0.12 & 59.6039534929092 & 2.43711300592998 \tabularnewline
0.13 & 60.4844953772732 & 2.33020065939806 \tabularnewline
0.14 & 61.3028596992044 & 2.29113039821839 \tabularnewline
0.15 & 62.0841650173251 & 2.30816428736396 \tabularnewline
0.16 & 62.8473868572686 & 2.35879488057301 \tabularnewline
0.17 & 63.6031435042142 & 2.41710248687513 \tabularnewline
0.18 & 64.3538067106045 & 2.45905818185501 \tabularnewline
0.19 & 65.0953250128413 & 2.46784783586019 \tabularnewline
0.2 & 65.8202664581685 & 2.43850423475900 \tabularnewline
0.21 & 66.5214926821893 & 2.38021948286337 \tabularnewline
0.22 & 67.1956079156567 & 2.31501810180329 \tabularnewline
0.23 & 67.8452358881766 & 2.27196997197079 \tabularnewline
0.24 & 68.4794831175283 & 2.27826009123904 \tabularnewline
0.25 & 69.1125767762378 & 2.35136286663368 \tabularnewline
0.26 & 69.761334237953 & 2.49416125165030 \tabularnewline
0.27 & 70.4425162960099 & 2.69803558728404 \tabularnewline
0.28 & 71.1710642993283 & 2.95159386694707 \tabularnewline
0.29 & 71.9597642166235 & 3.24746194453516 \tabularnewline
0.3 & 72.8202333921465 & 3.58727028719705 \tabularnewline
0.31 & 73.7645650758457 & 3.98153059414567 \tabularnewline
0.32 & 74.8067075172342 & 4.44506501297658 \tabularnewline
0.33 & 75.962778284913 & 4.98900203162703 \tabularnewline
0.34 & 77.2499557745508 & 5.61461481548361 \tabularnewline
0.35 & 78.6841816162113 & 6.308410663999 \tabularnewline
0.36 & 80.2774422745298 & 7.04331278512233 \tabularnewline
0.37 & 82.0356858047564 & 7.78574368709644 \tabularnewline
0.38 & 83.9583481593326 & 8.50447808699927 \tabularnewline
0.39 & 86.0399977631012 & 9.18251224576638 \tabularnewline
0.4 & 88.2738711639714 & 9.8248027055604 \tabularnewline
0.41 & 90.6562944071577 & 10.4591927835855 \tabularnewline
0.42 & 93.190445950212 & 11.1305408220542 \tabularnewline
0.43 & 95.887857661722 & 11.8843970288870 \tabularnewline
0.44 & 98.766572739821 & 12.7474395129406 \tabularnewline
0.45 & 101.845887023477 & 13.7106563692055 \tabularnewline
0.46 & 105.138803419428 & 14.7217430853961 \tabularnewline
0.47 & 108.644321247326 & 15.6916836909684 \tabularnewline
0.48 & 112.342071392576 & 16.5150481770441 \tabularnewline
0.49 & 116.191367328265 & 17.0954520920851 \tabularnewline
0.5 & 120.135523783558 & 17.3707179331160 \tabularnewline
0.51 & 124.110655407969 & 17.3313639385734 \tabularnewline
0.52 & 128.056670606282 & 17.0228927901915 \tabularnewline
0.53 & 131.927389704093 & 16.5368649733137 \tabularnewline
0.54 & 135.696980574671 & 15.9857949099927 \tabularnewline
0.55 & 139.361160573145 & 15.4737189866384 \tabularnewline
0.56 & 142.933395568691 & 15.0719047037081 \tabularnewline
0.57 & 146.437934614413 & 14.8063449322592 \tabularnewline
0.58 & 149.902312144131 & 14.6632376658727 \tabularnewline
0.59 & 153.351638548655 & 14.6082752656841 \tabularnewline
0.6 & 156.805788739293 & 14.6087674804009 \tabularnewline
0.61 & 160.279099406661 & 14.6427791583834 \tabularnewline
0.62 & 163.781129435223 & 14.7003922444995 \tabularnewline
0.63 & 167.316911501062 & 14.7706104229544 \tabularnewline
0.64 & 170.885923435495 & 14.8318420655249 \tabularnewline
0.65 & 174.480246502000 & 14.8468581444170 \tabularnewline
0.66 & 178.083340144528 & 14.7698518400231 \tabularnewline
0.67 & 181.670990494316 & 14.5648874521331 \tabularnewline
0.68 & 185.215172866362 & 14.2201921904778 \tabularnewline
0.69 & 188.690192335577 & 13.7585786446715 \tabularnewline
0.7 & 192.079200973698 & 13.2338019546686 \tabularnewline
0.71 & 195.378650126459 & 12.7154228488762 \tabularnewline
0.72 & 198.598701251210 & 12.2679232291088 \tabularnewline
0.73 & 201.75893833345 & 11.9263214356900 \tabularnewline
0.74 & 204.880405927659 & 11.6831603208211 \tabularnewline
0.75 & 207.976398457004 & 11.4876344765301 \tabularnewline
0.76 & 211.04498005223 & 11.2629159898629 \tabularnewline
0.77 & 214.065639055662 & 10.9299681627959 \tabularnewline
0.78 & 217.000959157677 & 10.4314107945347 \tabularnewline
0.79 & 219.802392547421 & 9.74496344685513 \tabularnewline
0.8 & 222.418054046674 & 8.88279486589025 \tabularnewline
0.81 & 224.800518294526 & 7.8833843866453 \tabularnewline
0.82 & 226.913684935255 & 6.80065432992595 \tabularnewline
0.83 & 228.738873707157 & 5.69850170496396 \tabularnewline
0.84 & 230.280349886510 & 4.65153189533077 \tabularnewline
0.85 & 231.569297068886 & 3.74319718226635 \tabularnewline
0.86 & 232.663908320136 & 3.05667107451874 \tabularnewline
0.87 & 233.643225514594 & 2.65490452159453 \tabularnewline
0.88 & 234.594200187354 & 2.544506961212 \tabularnewline
0.89 & 235.594364202704 & 2.65338617084625 \tabularnewline
0.9 & 236.695033734333 & 2.85716289182821 \tabularnewline
0.91 & 237.91118152762 & 3.02870020339069 \tabularnewline
0.92 & 239.224185506159 & 3.07806433740490 \tabularnewline
0.93 & 240.603929984482 & 2.98639870907060 \tabularnewline
0.94 & 242.057868489380 & 2.84505041721517 \tabularnewline
0.95 & 243.71032967842 & 2.90516097864112 \tabularnewline
0.96 & 245.882951002828 & 3.53371395535985 \tabularnewline
0.97 & 249.044878233822 & 4.81363045446323 \tabularnewline
0.98 & 253.347660975606 & 5.81707718934491 \tabularnewline
0.99 & 257.721415162181 & 4.29735743919865 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78746&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]24.2712285015614[/C][C]4.92961086633485[/C][/ROW]
[ROW][C]0.02[/C][C]29.7070650022003[/C][C]8.58399020191415[/C][/ROW]
[ROW][C]0.03[/C][C]36.4153198616668[/C][C]9.63905959930962[/C][/ROW]
[ROW][C]0.04[/C][C]42.6049852254596[/C][C]8.6691933279894[/C][/ROW]
[ROW][C]0.05[/C][C]47.4392442237424[/C][C]6.59877870856584[/C][/ROW]
[ROW][C]0.06[/C][C]50.8480531968005[/C][C]4.73084787231022[/C][/ROW]
[ROW][C]0.07[/C][C]53.1995644486294[/C][C]3.66201581342147[/C][/ROW]
[ROW][C]0.08[/C][C]54.9305783386004[/C][C]3.20657965738021[/C][/ROW]
[ROW][C]0.09[/C][C]56.3356280528512[/C][C]2.98582131007305[/C][/ROW]
[ROW][C]0.1[/C][C]57.5532131355594[/C][C]2.79656609051220[/C][/ROW]
[ROW][C]0.11[/C][C]58.6346578945959[/C][C]2.60309265783707[/C][/ROW]
[ROW][C]0.12[/C][C]59.6039534929092[/C][C]2.43711300592998[/C][/ROW]
[ROW][C]0.13[/C][C]60.4844953772732[/C][C]2.33020065939806[/C][/ROW]
[ROW][C]0.14[/C][C]61.3028596992044[/C][C]2.29113039821839[/C][/ROW]
[ROW][C]0.15[/C][C]62.0841650173251[/C][C]2.30816428736396[/C][/ROW]
[ROW][C]0.16[/C][C]62.8473868572686[/C][C]2.35879488057301[/C][/ROW]
[ROW][C]0.17[/C][C]63.6031435042142[/C][C]2.41710248687513[/C][/ROW]
[ROW][C]0.18[/C][C]64.3538067106045[/C][C]2.45905818185501[/C][/ROW]
[ROW][C]0.19[/C][C]65.0953250128413[/C][C]2.46784783586019[/C][/ROW]
[ROW][C]0.2[/C][C]65.8202664581685[/C][C]2.43850423475900[/C][/ROW]
[ROW][C]0.21[/C][C]66.5214926821893[/C][C]2.38021948286337[/C][/ROW]
[ROW][C]0.22[/C][C]67.1956079156567[/C][C]2.31501810180329[/C][/ROW]
[ROW][C]0.23[/C][C]67.8452358881766[/C][C]2.27196997197079[/C][/ROW]
[ROW][C]0.24[/C][C]68.4794831175283[/C][C]2.27826009123904[/C][/ROW]
[ROW][C]0.25[/C][C]69.1125767762378[/C][C]2.35136286663368[/C][/ROW]
[ROW][C]0.26[/C][C]69.761334237953[/C][C]2.49416125165030[/C][/ROW]
[ROW][C]0.27[/C][C]70.4425162960099[/C][C]2.69803558728404[/C][/ROW]
[ROW][C]0.28[/C][C]71.1710642993283[/C][C]2.95159386694707[/C][/ROW]
[ROW][C]0.29[/C][C]71.9597642166235[/C][C]3.24746194453516[/C][/ROW]
[ROW][C]0.3[/C][C]72.8202333921465[/C][C]3.58727028719705[/C][/ROW]
[ROW][C]0.31[/C][C]73.7645650758457[/C][C]3.98153059414567[/C][/ROW]
[ROW][C]0.32[/C][C]74.8067075172342[/C][C]4.44506501297658[/C][/ROW]
[ROW][C]0.33[/C][C]75.962778284913[/C][C]4.98900203162703[/C][/ROW]
[ROW][C]0.34[/C][C]77.2499557745508[/C][C]5.61461481548361[/C][/ROW]
[ROW][C]0.35[/C][C]78.6841816162113[/C][C]6.308410663999[/C][/ROW]
[ROW][C]0.36[/C][C]80.2774422745298[/C][C]7.04331278512233[/C][/ROW]
[ROW][C]0.37[/C][C]82.0356858047564[/C][C]7.78574368709644[/C][/ROW]
[ROW][C]0.38[/C][C]83.9583481593326[/C][C]8.50447808699927[/C][/ROW]
[ROW][C]0.39[/C][C]86.0399977631012[/C][C]9.18251224576638[/C][/ROW]
[ROW][C]0.4[/C][C]88.2738711639714[/C][C]9.8248027055604[/C][/ROW]
[ROW][C]0.41[/C][C]90.6562944071577[/C][C]10.4591927835855[/C][/ROW]
[ROW][C]0.42[/C][C]93.190445950212[/C][C]11.1305408220542[/C][/ROW]
[ROW][C]0.43[/C][C]95.887857661722[/C][C]11.8843970288870[/C][/ROW]
[ROW][C]0.44[/C][C]98.766572739821[/C][C]12.7474395129406[/C][/ROW]
[ROW][C]0.45[/C][C]101.845887023477[/C][C]13.7106563692055[/C][/ROW]
[ROW][C]0.46[/C][C]105.138803419428[/C][C]14.7217430853961[/C][/ROW]
[ROW][C]0.47[/C][C]108.644321247326[/C][C]15.6916836909684[/C][/ROW]
[ROW][C]0.48[/C][C]112.342071392576[/C][C]16.5150481770441[/C][/ROW]
[ROW][C]0.49[/C][C]116.191367328265[/C][C]17.0954520920851[/C][/ROW]
[ROW][C]0.5[/C][C]120.135523783558[/C][C]17.3707179331160[/C][/ROW]
[ROW][C]0.51[/C][C]124.110655407969[/C][C]17.3313639385734[/C][/ROW]
[ROW][C]0.52[/C][C]128.056670606282[/C][C]17.0228927901915[/C][/ROW]
[ROW][C]0.53[/C][C]131.927389704093[/C][C]16.5368649733137[/C][/ROW]
[ROW][C]0.54[/C][C]135.696980574671[/C][C]15.9857949099927[/C][/ROW]
[ROW][C]0.55[/C][C]139.361160573145[/C][C]15.4737189866384[/C][/ROW]
[ROW][C]0.56[/C][C]142.933395568691[/C][C]15.0719047037081[/C][/ROW]
[ROW][C]0.57[/C][C]146.437934614413[/C][C]14.8063449322592[/C][/ROW]
[ROW][C]0.58[/C][C]149.902312144131[/C][C]14.6632376658727[/C][/ROW]
[ROW][C]0.59[/C][C]153.351638548655[/C][C]14.6082752656841[/C][/ROW]
[ROW][C]0.6[/C][C]156.805788739293[/C][C]14.6087674804009[/C][/ROW]
[ROW][C]0.61[/C][C]160.279099406661[/C][C]14.6427791583834[/C][/ROW]
[ROW][C]0.62[/C][C]163.781129435223[/C][C]14.7003922444995[/C][/ROW]
[ROW][C]0.63[/C][C]167.316911501062[/C][C]14.7706104229544[/C][/ROW]
[ROW][C]0.64[/C][C]170.885923435495[/C][C]14.8318420655249[/C][/ROW]
[ROW][C]0.65[/C][C]174.480246502000[/C][C]14.8468581444170[/C][/ROW]
[ROW][C]0.66[/C][C]178.083340144528[/C][C]14.7698518400231[/C][/ROW]
[ROW][C]0.67[/C][C]181.670990494316[/C][C]14.5648874521331[/C][/ROW]
[ROW][C]0.68[/C][C]185.215172866362[/C][C]14.2201921904778[/C][/ROW]
[ROW][C]0.69[/C][C]188.690192335577[/C][C]13.7585786446715[/C][/ROW]
[ROW][C]0.7[/C][C]192.079200973698[/C][C]13.2338019546686[/C][/ROW]
[ROW][C]0.71[/C][C]195.378650126459[/C][C]12.7154228488762[/C][/ROW]
[ROW][C]0.72[/C][C]198.598701251210[/C][C]12.2679232291088[/C][/ROW]
[ROW][C]0.73[/C][C]201.75893833345[/C][C]11.9263214356900[/C][/ROW]
[ROW][C]0.74[/C][C]204.880405927659[/C][C]11.6831603208211[/C][/ROW]
[ROW][C]0.75[/C][C]207.976398457004[/C][C]11.4876344765301[/C][/ROW]
[ROW][C]0.76[/C][C]211.04498005223[/C][C]11.2629159898629[/C][/ROW]
[ROW][C]0.77[/C][C]214.065639055662[/C][C]10.9299681627959[/C][/ROW]
[ROW][C]0.78[/C][C]217.000959157677[/C][C]10.4314107945347[/C][/ROW]
[ROW][C]0.79[/C][C]219.802392547421[/C][C]9.74496344685513[/C][/ROW]
[ROW][C]0.8[/C][C]222.418054046674[/C][C]8.88279486589025[/C][/ROW]
[ROW][C]0.81[/C][C]224.800518294526[/C][C]7.8833843866453[/C][/ROW]
[ROW][C]0.82[/C][C]226.913684935255[/C][C]6.80065432992595[/C][/ROW]
[ROW][C]0.83[/C][C]228.738873707157[/C][C]5.69850170496396[/C][/ROW]
[ROW][C]0.84[/C][C]230.280349886510[/C][C]4.65153189533077[/C][/ROW]
[ROW][C]0.85[/C][C]231.569297068886[/C][C]3.74319718226635[/C][/ROW]
[ROW][C]0.86[/C][C]232.663908320136[/C][C]3.05667107451874[/C][/ROW]
[ROW][C]0.87[/C][C]233.643225514594[/C][C]2.65490452159453[/C][/ROW]
[ROW][C]0.88[/C][C]234.594200187354[/C][C]2.544506961212[/C][/ROW]
[ROW][C]0.89[/C][C]235.594364202704[/C][C]2.65338617084625[/C][/ROW]
[ROW][C]0.9[/C][C]236.695033734333[/C][C]2.85716289182821[/C][/ROW]
[ROW][C]0.91[/C][C]237.91118152762[/C][C]3.02870020339069[/C][/ROW]
[ROW][C]0.92[/C][C]239.224185506159[/C][C]3.07806433740490[/C][/ROW]
[ROW][C]0.93[/C][C]240.603929984482[/C][C]2.98639870907060[/C][/ROW]
[ROW][C]0.94[/C][C]242.057868489380[/C][C]2.84505041721517[/C][/ROW]
[ROW][C]0.95[/C][C]243.71032967842[/C][C]2.90516097864112[/C][/ROW]
[ROW][C]0.96[/C][C]245.882951002828[/C][C]3.53371395535985[/C][/ROW]
[ROW][C]0.97[/C][C]249.044878233822[/C][C]4.81363045446323[/C][/ROW]
[ROW][C]0.98[/C][C]253.347660975606[/C][C]5.81707718934491[/C][/ROW]
[ROW][C]0.99[/C][C]257.721415162181[/C][C]4.29735743919865[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78746&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78746&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0124.27122850156144.92961086633485
0.0229.70706500220038.58399020191415
0.0336.41531986166689.63905959930962
0.0442.60498522545968.6691933279894
0.0547.43924422374246.59877870856584
0.0650.84805319680054.73084787231022
0.0753.19956444862943.66201581342147
0.0854.93057833860043.20657965738021
0.0956.33562805285122.98582131007305
0.157.55321313555942.79656609051220
0.1158.63465789459592.60309265783707
0.1259.60395349290922.43711300592998
0.1360.48449537727322.33020065939806
0.1461.30285969920442.29113039821839
0.1562.08416501732512.30816428736396
0.1662.84738685726862.35879488057301
0.1763.60314350421422.41710248687513
0.1864.35380671060452.45905818185501
0.1965.09532501284132.46784783586019
0.265.82026645816852.43850423475900
0.2166.52149268218932.38021948286337
0.2267.19560791565672.31501810180329
0.2367.84523588817662.27196997197079
0.2468.47948311752832.27826009123904
0.2569.11257677623782.35136286663368
0.2669.7613342379532.49416125165030
0.2770.44251629600992.69803558728404
0.2871.17106429932832.95159386694707
0.2971.95976421662353.24746194453516
0.372.82023339214653.58727028719705
0.3173.76456507584573.98153059414567
0.3274.80670751723424.44506501297658
0.3375.9627782849134.98900203162703
0.3477.24995577455085.61461481548361
0.3578.68418161621136.308410663999
0.3680.27744227452987.04331278512233
0.3782.03568580475647.78574368709644
0.3883.95834815933268.50447808699927
0.3986.03999776310129.18251224576638
0.488.27387116397149.8248027055604
0.4190.656294407157710.4591927835855
0.4293.19044595021211.1305408220542
0.4395.88785766172211.8843970288870
0.4498.76657273982112.7474395129406
0.45101.84588702347713.7106563692055
0.46105.13880341942814.7217430853961
0.47108.64432124732615.6916836909684
0.48112.34207139257616.5150481770441
0.49116.19136732826517.0954520920851
0.5120.13552378355817.3707179331160
0.51124.11065540796917.3313639385734
0.52128.05667060628217.0228927901915
0.53131.92738970409316.5368649733137
0.54135.69698057467115.9857949099927
0.55139.36116057314515.4737189866384
0.56142.93339556869115.0719047037081
0.57146.43793461441314.8063449322592
0.58149.90231214413114.6632376658727
0.59153.35163854865514.6082752656841
0.6156.80578873929314.6087674804009
0.61160.27909940666114.6427791583834
0.62163.78112943522314.7003922444995
0.63167.31691150106214.7706104229544
0.64170.88592343549514.8318420655249
0.65174.48024650200014.8468581444170
0.66178.08334014452814.7698518400231
0.67181.67099049431614.5648874521331
0.68185.21517286636214.2201921904778
0.69188.69019233557713.7585786446715
0.7192.07920097369813.2338019546686
0.71195.37865012645912.7154228488762
0.72198.59870125121012.2679232291088
0.73201.7589383334511.9263214356900
0.74204.88040592765911.6831603208211
0.75207.97639845700411.4876344765301
0.76211.0449800522311.2629159898629
0.77214.06563905566210.9299681627959
0.78217.00095915767710.4314107945347
0.79219.8023925474219.74496344685513
0.8222.4180540466748.88279486589025
0.81224.8005182945267.8833843866453
0.82226.9136849352556.80065432992595
0.83228.7388737071575.69850170496396
0.84230.2803498865104.65153189533077
0.85231.5692970688863.74319718226635
0.86232.6639083201363.05667107451874
0.87233.6432255145942.65490452159453
0.88234.5942001873542.544506961212
0.89235.5943642027042.65338617084625
0.9236.6950337343332.85716289182821
0.91237.911181527623.02870020339069
0.92239.2241855061593.07806433740490
0.93240.6039299844822.98639870907060
0.94242.0578684893802.84505041721517
0.95243.710329678422.90516097864112
0.96245.8829510028283.53371395535985
0.97249.0448782338224.81363045446323
0.98253.3476609756065.81707718934491
0.99257.7214151621814.29735743919865


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')