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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 computationWed, 24 Feb 2016 15:21:51 +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/2016/Feb/24/t1456327330kkaxs9ht5igpg9j.htm/, Retrieved Sun, 12 May 2024 20:59:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292642, Retrieved Sun, 12 May 2024 20:59:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact113

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] [] [2016-02-24 15:21:51] [9b4dafad127b39cd929ee42874de7246] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
113149
112534
108783
106640
102617
102191
117359
116083
108666
105017
100918
103907
105732
103409
100255
97036
94055
92523
106380
104846
101411
98072
95678
99148
106813
106782
103496
100854
99592
98923
110497
114783
113551
112376
111683
113467
117277
117442
115640
114872
111628
111098
124301
125847
125323
122394
121164
123963
130549
128563
125418
121982
117708
116905
128862
129655
128649
126084
123725
123974

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292642&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292642&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292642&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 time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0192954.68055899811524.29545326904
0.0293649.86895354681605.02503849098
0.0394457.25707918651702.30152690804
0.0495266.91997513351748.58343592483
0.0596023.78069818261726.05134223436
0.0696707.48598206941650.91900924427
0.0797314.58852045751547.97905769607
0.0897849.59685857131439.29516452103
0.0998321.14944219861341.91998725307
0.198739.9544981471266.41097489978
0.1199117.24695361831217.18417100111
0.1299463.59695136351193.07395877866
0.1399788.14168344021189.80920356096
0.14100098.2478216791201.96251821966
0.15100399.5170677591225.10458545672
0.16100696.0002437291255.88188425552
0.17100990.4910185681291.43880100465
0.18101284.8101944621329.71818745298
0.19101580.0405631291368.25370799136
0.2101876.7104908711405.59839540961
0.21102174.9425775951440.05931913861
0.22102474.5841373091471.02098115233
0.23102775.3274002151498.53382089291
0.24103076.8181613551522.57074150583
0.25103378.7473804551544.39624409767
0.26103680.9216129751564.68871420169
0.27103983.312501461584.62002329812
0.28104286.0893346011605.22333367356
0.29104589.6394228191627.80749533678
0.3104894.5783113151653.46854247512
0.31105201.7471014521683.87721117753
0.32105512.1898129351720.56898198452
0.33105827.1020987151764.79289297051
0.34106147.7450072741817.06512330998
0.35106475.3237176441877.04092335301
0.36106810.8397539671942.811384889
0.37107154.9337840562011.60538169509
0.38107507.7422582052079.46897396197
0.39107868.7929557052141.52596229105
0.4108236.9611486652193.2108614102
0.41108610.4999953182230.37569787979
0.42108987.1474882712249.74632696709
0.43109364.3000714782249.91870002421
0.44109739.2323275222230.79315726678
0.45110109.3349528152193.84554168539
0.46110472.3407951412142.58256896921
0.47110826.511224532081.04314437168
0.48111170.7617828552013.93589140285
0.49111504.7154492431946.43153450047
0.5111828.682193341883.17109307657
0.51112143.5730772111827.86707243807
0.52112450.7647195961783.14253873801
0.53112751.9347292611750.32222924614
0.54113048.8905910561729.24426237556
0.55113343.4137251661719.13708926053
0.56113637.1375366151717.88642398125
0.57113931.4737415041723.28037089972
0.58114227.5954846661733.46431636866
0.59114526.4789804771746.41530414411
0.6114828.9977824461761.53210673713
0.61115136.0556096421778.93110920703
0.62115448.7355568021799.90428148176
0.63115768.4366015781827.3285967535
0.64116096.9641830231864.22365451672
0.65116436.5420859831914.26099412955
0.66116789.7195266041980.0669838654
0.67117159.1609461522062.5878162775
0.68117547.3258766742160.29066673895
0.69117956.0698007422268.4605968058
0.7118386.2198920782379.36294899661
0.71118837.1965044322483.20015918029
0.72119306.7569921942568.80266187451
0.73119790.9292256472625.7686131
0.74120284.177334442645.27632457534
0.75120779.804927542621.72194713148
0.76121270.5581675962553.82584695097
0.77121749.3520229322444.74520401936
0.78122210.0175684952301.64595341102
0.79122647.9638130512135.22538095699
0.8123060.6665976521958.17093202919
0.81123447.9350004061783.64122360878
0.82123811.9503285261623.84039144827
0.83124157.1069045011489.1204444988
0.84124489.6906066021387.01098017308
0.85124817.4030165071322.5562160067
0.86125148.6879631861297.68094089071
0.87125491.7802697291310.45700458024
0.88125853.4291394971353.06203153541
0.89126237.3987323531410.11291829128
0.9126643.1120978191458.73003182491
0.91127065.082565181472.96147425551
0.92127493.8695847271431.6429936731
0.93127918.9740357011327.93959751107
0.94128333.2246972591176.49054211696
0.95128736.8874699591013.49945095552
0.96129138.253019546884.137671639122
0.97129546.499095038817.372536221784
0.98129954.226354589810.104415941427
0.99130316.017840503841.320301635663

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 92954.6805589981 & 1524.29545326904 \tabularnewline
0.02 & 93649.8689535468 & 1605.02503849098 \tabularnewline
0.03 & 94457.2570791865 & 1702.30152690804 \tabularnewline
0.04 & 95266.9199751335 & 1748.58343592483 \tabularnewline
0.05 & 96023.7806981826 & 1726.05134223436 \tabularnewline
0.06 & 96707.4859820694 & 1650.91900924427 \tabularnewline
0.07 & 97314.5885204575 & 1547.97905769607 \tabularnewline
0.08 & 97849.5968585713 & 1439.29516452103 \tabularnewline
0.09 & 98321.1494421986 & 1341.91998725307 \tabularnewline
0.1 & 98739.954498147 & 1266.41097489978 \tabularnewline
0.11 & 99117.2469536183 & 1217.18417100111 \tabularnewline
0.12 & 99463.5969513635 & 1193.07395877866 \tabularnewline
0.13 & 99788.1416834402 & 1189.80920356096 \tabularnewline
0.14 & 100098.247821679 & 1201.96251821966 \tabularnewline
0.15 & 100399.517067759 & 1225.10458545672 \tabularnewline
0.16 & 100696.000243729 & 1255.88188425552 \tabularnewline
0.17 & 100990.491018568 & 1291.43880100465 \tabularnewline
0.18 & 101284.810194462 & 1329.71818745298 \tabularnewline
0.19 & 101580.040563129 & 1368.25370799136 \tabularnewline
0.2 & 101876.710490871 & 1405.59839540961 \tabularnewline
0.21 & 102174.942577595 & 1440.05931913861 \tabularnewline
0.22 & 102474.584137309 & 1471.02098115233 \tabularnewline
0.23 & 102775.327400215 & 1498.53382089291 \tabularnewline
0.24 & 103076.818161355 & 1522.57074150583 \tabularnewline
0.25 & 103378.747380455 & 1544.39624409767 \tabularnewline
0.26 & 103680.921612975 & 1564.68871420169 \tabularnewline
0.27 & 103983.31250146 & 1584.62002329812 \tabularnewline
0.28 & 104286.089334601 & 1605.22333367356 \tabularnewline
0.29 & 104589.639422819 & 1627.80749533678 \tabularnewline
0.3 & 104894.578311315 & 1653.46854247512 \tabularnewline
0.31 & 105201.747101452 & 1683.87721117753 \tabularnewline
0.32 & 105512.189812935 & 1720.56898198452 \tabularnewline
0.33 & 105827.102098715 & 1764.79289297051 \tabularnewline
0.34 & 106147.745007274 & 1817.06512330998 \tabularnewline
0.35 & 106475.323717644 & 1877.04092335301 \tabularnewline
0.36 & 106810.839753967 & 1942.811384889 \tabularnewline
0.37 & 107154.933784056 & 2011.60538169509 \tabularnewline
0.38 & 107507.742258205 & 2079.46897396197 \tabularnewline
0.39 & 107868.792955705 & 2141.52596229105 \tabularnewline
0.4 & 108236.961148665 & 2193.2108614102 \tabularnewline
0.41 & 108610.499995318 & 2230.37569787979 \tabularnewline
0.42 & 108987.147488271 & 2249.74632696709 \tabularnewline
0.43 & 109364.300071478 & 2249.91870002421 \tabularnewline
0.44 & 109739.232327522 & 2230.79315726678 \tabularnewline
0.45 & 110109.334952815 & 2193.84554168539 \tabularnewline
0.46 & 110472.340795141 & 2142.58256896921 \tabularnewline
0.47 & 110826.51122453 & 2081.04314437168 \tabularnewline
0.48 & 111170.761782855 & 2013.93589140285 \tabularnewline
0.49 & 111504.715449243 & 1946.43153450047 \tabularnewline
0.5 & 111828.68219334 & 1883.17109307657 \tabularnewline
0.51 & 112143.573077211 & 1827.86707243807 \tabularnewline
0.52 & 112450.764719596 & 1783.14253873801 \tabularnewline
0.53 & 112751.934729261 & 1750.32222924614 \tabularnewline
0.54 & 113048.890591056 & 1729.24426237556 \tabularnewline
0.55 & 113343.413725166 & 1719.13708926053 \tabularnewline
0.56 & 113637.137536615 & 1717.88642398125 \tabularnewline
0.57 & 113931.473741504 & 1723.28037089972 \tabularnewline
0.58 & 114227.595484666 & 1733.46431636866 \tabularnewline
0.59 & 114526.478980477 & 1746.41530414411 \tabularnewline
0.6 & 114828.997782446 & 1761.53210673713 \tabularnewline
0.61 & 115136.055609642 & 1778.93110920703 \tabularnewline
0.62 & 115448.735556802 & 1799.90428148176 \tabularnewline
0.63 & 115768.436601578 & 1827.3285967535 \tabularnewline
0.64 & 116096.964183023 & 1864.22365451672 \tabularnewline
0.65 & 116436.542085983 & 1914.26099412955 \tabularnewline
0.66 & 116789.719526604 & 1980.0669838654 \tabularnewline
0.67 & 117159.160946152 & 2062.5878162775 \tabularnewline
0.68 & 117547.325876674 & 2160.29066673895 \tabularnewline
0.69 & 117956.069800742 & 2268.4605968058 \tabularnewline
0.7 & 118386.219892078 & 2379.36294899661 \tabularnewline
0.71 & 118837.196504432 & 2483.20015918029 \tabularnewline
0.72 & 119306.756992194 & 2568.80266187451 \tabularnewline
0.73 & 119790.929225647 & 2625.7686131 \tabularnewline
0.74 & 120284.17733444 & 2645.27632457534 \tabularnewline
0.75 & 120779.80492754 & 2621.72194713148 \tabularnewline
0.76 & 121270.558167596 & 2553.82584695097 \tabularnewline
0.77 & 121749.352022932 & 2444.74520401936 \tabularnewline
0.78 & 122210.017568495 & 2301.64595341102 \tabularnewline
0.79 & 122647.963813051 & 2135.22538095699 \tabularnewline
0.8 & 123060.666597652 & 1958.17093202919 \tabularnewline
0.81 & 123447.935000406 & 1783.64122360878 \tabularnewline
0.82 & 123811.950328526 & 1623.84039144827 \tabularnewline
0.83 & 124157.106904501 & 1489.1204444988 \tabularnewline
0.84 & 124489.690606602 & 1387.01098017308 \tabularnewline
0.85 & 124817.403016507 & 1322.5562160067 \tabularnewline
0.86 & 125148.687963186 & 1297.68094089071 \tabularnewline
0.87 & 125491.780269729 & 1310.45700458024 \tabularnewline
0.88 & 125853.429139497 & 1353.06203153541 \tabularnewline
0.89 & 126237.398732353 & 1410.11291829128 \tabularnewline
0.9 & 126643.112097819 & 1458.73003182491 \tabularnewline
0.91 & 127065.08256518 & 1472.96147425551 \tabularnewline
0.92 & 127493.869584727 & 1431.6429936731 \tabularnewline
0.93 & 127918.974035701 & 1327.93959751107 \tabularnewline
0.94 & 128333.224697259 & 1176.49054211696 \tabularnewline
0.95 & 128736.887469959 & 1013.49945095552 \tabularnewline
0.96 & 129138.253019546 & 884.137671639122 \tabularnewline
0.97 & 129546.499095038 & 817.372536221784 \tabularnewline
0.98 & 129954.226354589 & 810.104415941427 \tabularnewline
0.99 & 130316.017840503 & 841.320301635663 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292642&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]92954.6805589981[/C][C]1524.29545326904[/C][/ROW]
[ROW][C]0.02[/C][C]93649.8689535468[/C][C]1605.02503849098[/C][/ROW]
[ROW][C]0.03[/C][C]94457.2570791865[/C][C]1702.30152690804[/C][/ROW]
[ROW][C]0.04[/C][C]95266.9199751335[/C][C]1748.58343592483[/C][/ROW]
[ROW][C]0.05[/C][C]96023.7806981826[/C][C]1726.05134223436[/C][/ROW]
[ROW][C]0.06[/C][C]96707.4859820694[/C][C]1650.91900924427[/C][/ROW]
[ROW][C]0.07[/C][C]97314.5885204575[/C][C]1547.97905769607[/C][/ROW]
[ROW][C]0.08[/C][C]97849.5968585713[/C][C]1439.29516452103[/C][/ROW]
[ROW][C]0.09[/C][C]98321.1494421986[/C][C]1341.91998725307[/C][/ROW]
[ROW][C]0.1[/C][C]98739.954498147[/C][C]1266.41097489978[/C][/ROW]
[ROW][C]0.11[/C][C]99117.2469536183[/C][C]1217.18417100111[/C][/ROW]
[ROW][C]0.12[/C][C]99463.5969513635[/C][C]1193.07395877866[/C][/ROW]
[ROW][C]0.13[/C][C]99788.1416834402[/C][C]1189.80920356096[/C][/ROW]
[ROW][C]0.14[/C][C]100098.247821679[/C][C]1201.96251821966[/C][/ROW]
[ROW][C]0.15[/C][C]100399.517067759[/C][C]1225.10458545672[/C][/ROW]
[ROW][C]0.16[/C][C]100696.000243729[/C][C]1255.88188425552[/C][/ROW]
[ROW][C]0.17[/C][C]100990.491018568[/C][C]1291.43880100465[/C][/ROW]
[ROW][C]0.18[/C][C]101284.810194462[/C][C]1329.71818745298[/C][/ROW]
[ROW][C]0.19[/C][C]101580.040563129[/C][C]1368.25370799136[/C][/ROW]
[ROW][C]0.2[/C][C]101876.710490871[/C][C]1405.59839540961[/C][/ROW]
[ROW][C]0.21[/C][C]102174.942577595[/C][C]1440.05931913861[/C][/ROW]
[ROW][C]0.22[/C][C]102474.584137309[/C][C]1471.02098115233[/C][/ROW]
[ROW][C]0.23[/C][C]102775.327400215[/C][C]1498.53382089291[/C][/ROW]
[ROW][C]0.24[/C][C]103076.818161355[/C][C]1522.57074150583[/C][/ROW]
[ROW][C]0.25[/C][C]103378.747380455[/C][C]1544.39624409767[/C][/ROW]
[ROW][C]0.26[/C][C]103680.921612975[/C][C]1564.68871420169[/C][/ROW]
[ROW][C]0.27[/C][C]103983.31250146[/C][C]1584.62002329812[/C][/ROW]
[ROW][C]0.28[/C][C]104286.089334601[/C][C]1605.22333367356[/C][/ROW]
[ROW][C]0.29[/C][C]104589.639422819[/C][C]1627.80749533678[/C][/ROW]
[ROW][C]0.3[/C][C]104894.578311315[/C][C]1653.46854247512[/C][/ROW]
[ROW][C]0.31[/C][C]105201.747101452[/C][C]1683.87721117753[/C][/ROW]
[ROW][C]0.32[/C][C]105512.189812935[/C][C]1720.56898198452[/C][/ROW]
[ROW][C]0.33[/C][C]105827.102098715[/C][C]1764.79289297051[/C][/ROW]
[ROW][C]0.34[/C][C]106147.745007274[/C][C]1817.06512330998[/C][/ROW]
[ROW][C]0.35[/C][C]106475.323717644[/C][C]1877.04092335301[/C][/ROW]
[ROW][C]0.36[/C][C]106810.839753967[/C][C]1942.811384889[/C][/ROW]
[ROW][C]0.37[/C][C]107154.933784056[/C][C]2011.60538169509[/C][/ROW]
[ROW][C]0.38[/C][C]107507.742258205[/C][C]2079.46897396197[/C][/ROW]
[ROW][C]0.39[/C][C]107868.792955705[/C][C]2141.52596229105[/C][/ROW]
[ROW][C]0.4[/C][C]108236.961148665[/C][C]2193.2108614102[/C][/ROW]
[ROW][C]0.41[/C][C]108610.499995318[/C][C]2230.37569787979[/C][/ROW]
[ROW][C]0.42[/C][C]108987.147488271[/C][C]2249.74632696709[/C][/ROW]
[ROW][C]0.43[/C][C]109364.300071478[/C][C]2249.91870002421[/C][/ROW]
[ROW][C]0.44[/C][C]109739.232327522[/C][C]2230.79315726678[/C][/ROW]
[ROW][C]0.45[/C][C]110109.334952815[/C][C]2193.84554168539[/C][/ROW]
[ROW][C]0.46[/C][C]110472.340795141[/C][C]2142.58256896921[/C][/ROW]
[ROW][C]0.47[/C][C]110826.51122453[/C][C]2081.04314437168[/C][/ROW]
[ROW][C]0.48[/C][C]111170.761782855[/C][C]2013.93589140285[/C][/ROW]
[ROW][C]0.49[/C][C]111504.715449243[/C][C]1946.43153450047[/C][/ROW]
[ROW][C]0.5[/C][C]111828.68219334[/C][C]1883.17109307657[/C][/ROW]
[ROW][C]0.51[/C][C]112143.573077211[/C][C]1827.86707243807[/C][/ROW]
[ROW][C]0.52[/C][C]112450.764719596[/C][C]1783.14253873801[/C][/ROW]
[ROW][C]0.53[/C][C]112751.934729261[/C][C]1750.32222924614[/C][/ROW]
[ROW][C]0.54[/C][C]113048.890591056[/C][C]1729.24426237556[/C][/ROW]
[ROW][C]0.55[/C][C]113343.413725166[/C][C]1719.13708926053[/C][/ROW]
[ROW][C]0.56[/C][C]113637.137536615[/C][C]1717.88642398125[/C][/ROW]
[ROW][C]0.57[/C][C]113931.473741504[/C][C]1723.28037089972[/C][/ROW]
[ROW][C]0.58[/C][C]114227.595484666[/C][C]1733.46431636866[/C][/ROW]
[ROW][C]0.59[/C][C]114526.478980477[/C][C]1746.41530414411[/C][/ROW]
[ROW][C]0.6[/C][C]114828.997782446[/C][C]1761.53210673713[/C][/ROW]
[ROW][C]0.61[/C][C]115136.055609642[/C][C]1778.93110920703[/C][/ROW]
[ROW][C]0.62[/C][C]115448.735556802[/C][C]1799.90428148176[/C][/ROW]
[ROW][C]0.63[/C][C]115768.436601578[/C][C]1827.3285967535[/C][/ROW]
[ROW][C]0.64[/C][C]116096.964183023[/C][C]1864.22365451672[/C][/ROW]
[ROW][C]0.65[/C][C]116436.542085983[/C][C]1914.26099412955[/C][/ROW]
[ROW][C]0.66[/C][C]116789.719526604[/C][C]1980.0669838654[/C][/ROW]
[ROW][C]0.67[/C][C]117159.160946152[/C][C]2062.5878162775[/C][/ROW]
[ROW][C]0.68[/C][C]117547.325876674[/C][C]2160.29066673895[/C][/ROW]
[ROW][C]0.69[/C][C]117956.069800742[/C][C]2268.4605968058[/C][/ROW]
[ROW][C]0.7[/C][C]118386.219892078[/C][C]2379.36294899661[/C][/ROW]
[ROW][C]0.71[/C][C]118837.196504432[/C][C]2483.20015918029[/C][/ROW]
[ROW][C]0.72[/C][C]119306.756992194[/C][C]2568.80266187451[/C][/ROW]
[ROW][C]0.73[/C][C]119790.929225647[/C][C]2625.7686131[/C][/ROW]
[ROW][C]0.74[/C][C]120284.17733444[/C][C]2645.27632457534[/C][/ROW]
[ROW][C]0.75[/C][C]120779.80492754[/C][C]2621.72194713148[/C][/ROW]
[ROW][C]0.76[/C][C]121270.558167596[/C][C]2553.82584695097[/C][/ROW]
[ROW][C]0.77[/C][C]121749.352022932[/C][C]2444.74520401936[/C][/ROW]
[ROW][C]0.78[/C][C]122210.017568495[/C][C]2301.64595341102[/C][/ROW]
[ROW][C]0.79[/C][C]122647.963813051[/C][C]2135.22538095699[/C][/ROW]
[ROW][C]0.8[/C][C]123060.666597652[/C][C]1958.17093202919[/C][/ROW]
[ROW][C]0.81[/C][C]123447.935000406[/C][C]1783.64122360878[/C][/ROW]
[ROW][C]0.82[/C][C]123811.950328526[/C][C]1623.84039144827[/C][/ROW]
[ROW][C]0.83[/C][C]124157.106904501[/C][C]1489.1204444988[/C][/ROW]
[ROW][C]0.84[/C][C]124489.690606602[/C][C]1387.01098017308[/C][/ROW]
[ROW][C]0.85[/C][C]124817.403016507[/C][C]1322.5562160067[/C][/ROW]
[ROW][C]0.86[/C][C]125148.687963186[/C][C]1297.68094089071[/C][/ROW]
[ROW][C]0.87[/C][C]125491.780269729[/C][C]1310.45700458024[/C][/ROW]
[ROW][C]0.88[/C][C]125853.429139497[/C][C]1353.06203153541[/C][/ROW]
[ROW][C]0.89[/C][C]126237.398732353[/C][C]1410.11291829128[/C][/ROW]
[ROW][C]0.9[/C][C]126643.112097819[/C][C]1458.73003182491[/C][/ROW]
[ROW][C]0.91[/C][C]127065.08256518[/C][C]1472.96147425551[/C][/ROW]
[ROW][C]0.92[/C][C]127493.869584727[/C][C]1431.6429936731[/C][/ROW]
[ROW][C]0.93[/C][C]127918.974035701[/C][C]1327.93959751107[/C][/ROW]
[ROW][C]0.94[/C][C]128333.224697259[/C][C]1176.49054211696[/C][/ROW]
[ROW][C]0.95[/C][C]128736.887469959[/C][C]1013.49945095552[/C][/ROW]
[ROW][C]0.96[/C][C]129138.253019546[/C][C]884.137671639122[/C][/ROW]
[ROW][C]0.97[/C][C]129546.499095038[/C][C]817.372536221784[/C][/ROW]
[ROW][C]0.98[/C][C]129954.226354589[/C][C]810.104415941427[/C][/ROW]
[ROW][C]0.99[/C][C]130316.017840503[/C][C]841.320301635663[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292642&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292642&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
0.0192954.68055899811524.29545326904
0.0293649.86895354681605.02503849098
0.0394457.25707918651702.30152690804
0.0495266.91997513351748.58343592483
0.0596023.78069818261726.05134223436
0.0696707.48598206941650.91900924427
0.0797314.58852045751547.97905769607
0.0897849.59685857131439.29516452103
0.0998321.14944219861341.91998725307
0.198739.9544981471266.41097489978
0.1199117.24695361831217.18417100111
0.1299463.59695136351193.07395877866
0.1399788.14168344021189.80920356096
0.14100098.2478216791201.96251821966
0.15100399.5170677591225.10458545672
0.16100696.0002437291255.88188425552
0.17100990.4910185681291.43880100465
0.18101284.8101944621329.71818745298
0.19101580.0405631291368.25370799136
0.2101876.7104908711405.59839540961
0.21102174.9425775951440.05931913861
0.22102474.5841373091471.02098115233
0.23102775.3274002151498.53382089291
0.24103076.8181613551522.57074150583
0.25103378.7473804551544.39624409767
0.26103680.9216129751564.68871420169
0.27103983.312501461584.62002329812
0.28104286.0893346011605.22333367356
0.29104589.6394228191627.80749533678
0.3104894.5783113151653.46854247512
0.31105201.7471014521683.87721117753
0.32105512.1898129351720.56898198452
0.33105827.1020987151764.79289297051
0.34106147.7450072741817.06512330998
0.35106475.3237176441877.04092335301
0.36106810.8397539671942.811384889
0.37107154.9337840562011.60538169509
0.38107507.7422582052079.46897396197
0.39107868.7929557052141.52596229105
0.4108236.9611486652193.2108614102
0.41108610.4999953182230.37569787979
0.42108987.1474882712249.74632696709
0.43109364.3000714782249.91870002421
0.44109739.2323275222230.79315726678
0.45110109.3349528152193.84554168539
0.46110472.3407951412142.58256896921
0.47110826.511224532081.04314437168
0.48111170.7617828552013.93589140285
0.49111504.7154492431946.43153450047
0.5111828.682193341883.17109307657
0.51112143.5730772111827.86707243807
0.52112450.7647195961783.14253873801
0.53112751.9347292611750.32222924614
0.54113048.8905910561729.24426237556
0.55113343.4137251661719.13708926053
0.56113637.1375366151717.88642398125
0.57113931.4737415041723.28037089972
0.58114227.5954846661733.46431636866
0.59114526.4789804771746.41530414411
0.6114828.9977824461761.53210673713
0.61115136.0556096421778.93110920703
0.62115448.7355568021799.90428148176
0.63115768.4366015781827.3285967535
0.64116096.9641830231864.22365451672
0.65116436.5420859831914.26099412955
0.66116789.7195266041980.0669838654
0.67117159.1609461522062.5878162775
0.68117547.3258766742160.29066673895
0.69117956.0698007422268.4605968058
0.7118386.2198920782379.36294899661
0.71118837.1965044322483.20015918029
0.72119306.7569921942568.80266187451
0.73119790.9292256472625.7686131
0.74120284.177334442645.27632457534
0.75120779.804927542621.72194713148
0.76121270.5581675962553.82584695097
0.77121749.3520229322444.74520401936
0.78122210.0175684952301.64595341102
0.79122647.9638130512135.22538095699
0.8123060.6665976521958.17093202919
0.81123447.9350004061783.64122360878
0.82123811.9503285261623.84039144827
0.83124157.1069045011489.1204444988
0.84124489.6906066021387.01098017308
0.85124817.4030165071322.5562160067
0.86125148.6879631861297.68094089071
0.87125491.7802697291310.45700458024
0.88125853.4291394971353.06203153541
0.89126237.3987323531410.11291829128
0.9126643.1120978191458.73003182491
0.91127065.082565181472.96147425551
0.92127493.8695847271431.6429936731
0.93127918.9740357011327.93959751107
0.94128333.2246972591176.49054211696
0.95128736.8874699591013.49945095552
0.96129138.253019546884.137671639122
0.97129546.499095038817.372536221784
0.98129954.226354589810.104415941427
0.99130316.017840503841.320301635663


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')