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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, 03 Oct 2014 15:44:15 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/03/t141234749704zkkut539c91hi.htm/, Retrieved Thu, 09 May 2024 23:22:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238452, Retrieved Thu, 09 May 2024 23:22:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130

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] [] [2014-10-03 14:44:15] [7c1b641e1a752e372282648dcc4f5732] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
111,2
116,7
125,8
131,5
146,2
155,4
157,5
137,2
121,3
89,1
69,6
56,7
58,5
56,4
60,5
64,6
73,2
84,6
80,4
88,4
84,6
90,8
94,9
93,1
96,6
93,1
98,3
105
95,6
94,3
95,3
97,1
98,1
104,4
107,8
114,3
118,7
124,1
134,2
142,4
133,8
131
133,2
125,9
126,2
122,7
126,6
124,8
128
134,1
138,8
134
124
110,4
116,7
124,7
126
122,8
120,2
121,2
125,4
127,9
122
117,5
117,9
117,9
122,7
125,7
126,1
123,2
120,6
123,5

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238452&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238452&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238452&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0156.72089216941660.904016190944115
0.0257.48302309267611.99890908596571
0.0358.73358966513783.30831936788788
0.0460.45842278978274.69308473632741
0.0562.60478075701796.02704203304347
0.0665.09091743471857.17577718354049
0.0767.81264550037518.02957985880048
0.0870.65340921202648.52639760847964
0.0973.49766603937588.65695199121056
0.176.2440258432148.45970980888451
0.1178.81486669077778.00981342979937
0.1281.16078835740397.40083853514777
0.1383.2598592243716.72463498179213
0.1485.11282718257326.05400113637401
0.1586.73619977752695.43469078446814
0.1688.15521378849444.88669374848722
0.1789.39822663478034.41329569220317
0.1890.49323686794764.01092177873473
0.1991.46644368635513.67708404639071
0.292.34224676065663.41486252228036
0.2193.14393362798343.23249884998337
0.2293.89441475368753.14166554634351
0.2394.61660271420353.15345999067759
0.2495.33327290792043.27399944663158
0.2596.06642628227243.50109643961632
0.2696.83628655122713.82341965155111
0.2797.66011802672354.2215219372179
0.2898.55106349010464.66975657027372
0.2999.51718724149485.13870334705893
0.3100.560873107855.59736025588896
0.31101.6786748698466.01536358434227
0.32102.8616529844146.36601840739138
0.33104.0961654456586.62791123105611
0.34105.3650226879976.78627707179097
0.35106.6488758460686.83432974033563
0.36107.9276895740616.77241214243074
0.37109.182154777236.60827221681375
0.38110.3949182918146.35508586626246
0.39111.5515387966646.03019507121851
0.4112.6411143776765.65375269507003
0.41113.656562510115.2467038827826
0.42114.594565399834.82908376268001
0.43115.4552217309234.41895115303294
0.44116.2414692071734.03099409016919
0.45116.9583594661223.67536810453577
0.46117.6122758873253.35818373041107
0.47118.2101834830783.08084496651115
0.48118.7589876350332.84088626871054
0.49119.2650561907762.63365118852023
0.5119.7339308484662.45285609879321
0.51120.1702238503072.29263510039326
0.52120.5776700607042.14770756340342
0.53120.9592867325132.01488912924435
0.54121.3175858455951.89206209760236
0.55121.6547866923281.77887830543504
0.56121.9729872840861.67580157702514
0.57122.2742689110711.58356634365352
0.58122.5607253327711.50274081593473
0.59122.8344236716551.4337431555213
0.6123.0973161582011.37572797727483
0.61123.3511295060551.32707252213771
0.62123.5972618170791.28557889200397
0.63123.8367160037361.24858229320209
0.64124.0700944578631.21343260326443
0.65124.2976727366231.1777697867412
0.66124.5195608573031.14061291636629
0.67124.73594971791.10212777707534
0.68124.9474274960461.06458671594669
0.69125.1553371228621.03199695926787
0.7125.3621320003751.01088409418445
0.71125.5716745540971.009062167644
0.72125.78941319691.03614416876348
0.73126.0223706735111.10091650815841
0.74126.2788838169621.20912991288379
0.75126.5680547067251.3622066785923
0.76126.8989085287081.55604778130004
0.77127.2793047090871.78084081792524
0.78127.7147125417712.02130894838492
0.79128.2070333966242.2577017614124
0.8128.7537159868262.4676946551628
0.81129.3474508495412.62860412405626
0.82129.9767229129212.72224341532462
0.83130.6274242942232.73815300739014
0.84131.2855674462912.678119138194
0.85131.9408933046812.55938066141563
0.86132.5908749289072.41568177365044
0.87133.2443569374452.29643198584205
0.88133.9239784816232.26021092397103
0.89134.6667581922912.35947525163821
0.9135.522864418842.62007054348388
0.91136.5535106387683.03507669219664
0.92137.8294722432573.57930167652222
0.93139.4305731707564.2304703838183
0.94141.4419364294794.97693985685247
0.95143.9348792061715.78719257339
0.96146.9152830545886.50429407758311
0.97150.2350113111276.70916796686399
0.98153.5060004773215.81938925324104
0.99156.1193328850153.79059523751711

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 56.7208921694166 & 0.904016190944115 \tabularnewline
0.02 & 57.4830230926761 & 1.99890908596571 \tabularnewline
0.03 & 58.7335896651378 & 3.30831936788788 \tabularnewline
0.04 & 60.4584227897827 & 4.69308473632741 \tabularnewline
0.05 & 62.6047807570179 & 6.02704203304347 \tabularnewline
0.06 & 65.0909174347185 & 7.17577718354049 \tabularnewline
0.07 & 67.8126455003751 & 8.02957985880048 \tabularnewline
0.08 & 70.6534092120264 & 8.52639760847964 \tabularnewline
0.09 & 73.4976660393758 & 8.65695199121056 \tabularnewline
0.1 & 76.244025843214 & 8.45970980888451 \tabularnewline
0.11 & 78.8148666907777 & 8.00981342979937 \tabularnewline
0.12 & 81.1607883574039 & 7.40083853514777 \tabularnewline
0.13 & 83.259859224371 & 6.72463498179213 \tabularnewline
0.14 & 85.1128271825732 & 6.05400113637401 \tabularnewline
0.15 & 86.7361997775269 & 5.43469078446814 \tabularnewline
0.16 & 88.1552137884944 & 4.88669374848722 \tabularnewline
0.17 & 89.3982266347803 & 4.41329569220317 \tabularnewline
0.18 & 90.4932368679476 & 4.01092177873473 \tabularnewline
0.19 & 91.4664436863551 & 3.67708404639071 \tabularnewline
0.2 & 92.3422467606566 & 3.41486252228036 \tabularnewline
0.21 & 93.1439336279834 & 3.23249884998337 \tabularnewline
0.22 & 93.8944147536875 & 3.14166554634351 \tabularnewline
0.23 & 94.6166027142035 & 3.15345999067759 \tabularnewline
0.24 & 95.3332729079204 & 3.27399944663158 \tabularnewline
0.25 & 96.0664262822724 & 3.50109643961632 \tabularnewline
0.26 & 96.8362865512271 & 3.82341965155111 \tabularnewline
0.27 & 97.6601180267235 & 4.2215219372179 \tabularnewline
0.28 & 98.5510634901046 & 4.66975657027372 \tabularnewline
0.29 & 99.5171872414948 & 5.13870334705893 \tabularnewline
0.3 & 100.56087310785 & 5.59736025588896 \tabularnewline
0.31 & 101.678674869846 & 6.01536358434227 \tabularnewline
0.32 & 102.861652984414 & 6.36601840739138 \tabularnewline
0.33 & 104.096165445658 & 6.62791123105611 \tabularnewline
0.34 & 105.365022687997 & 6.78627707179097 \tabularnewline
0.35 & 106.648875846068 & 6.83432974033563 \tabularnewline
0.36 & 107.927689574061 & 6.77241214243074 \tabularnewline
0.37 & 109.18215477723 & 6.60827221681375 \tabularnewline
0.38 & 110.394918291814 & 6.35508586626246 \tabularnewline
0.39 & 111.551538796664 & 6.03019507121851 \tabularnewline
0.4 & 112.641114377676 & 5.65375269507003 \tabularnewline
0.41 & 113.65656251011 & 5.2467038827826 \tabularnewline
0.42 & 114.59456539983 & 4.82908376268001 \tabularnewline
0.43 & 115.455221730923 & 4.41895115303294 \tabularnewline
0.44 & 116.241469207173 & 4.03099409016919 \tabularnewline
0.45 & 116.958359466122 & 3.67536810453577 \tabularnewline
0.46 & 117.612275887325 & 3.35818373041107 \tabularnewline
0.47 & 118.210183483078 & 3.08084496651115 \tabularnewline
0.48 & 118.758987635033 & 2.84088626871054 \tabularnewline
0.49 & 119.265056190776 & 2.63365118852023 \tabularnewline
0.5 & 119.733930848466 & 2.45285609879321 \tabularnewline
0.51 & 120.170223850307 & 2.29263510039326 \tabularnewline
0.52 & 120.577670060704 & 2.14770756340342 \tabularnewline
0.53 & 120.959286732513 & 2.01488912924435 \tabularnewline
0.54 & 121.317585845595 & 1.89206209760236 \tabularnewline
0.55 & 121.654786692328 & 1.77887830543504 \tabularnewline
0.56 & 121.972987284086 & 1.67580157702514 \tabularnewline
0.57 & 122.274268911071 & 1.58356634365352 \tabularnewline
0.58 & 122.560725332771 & 1.50274081593473 \tabularnewline
0.59 & 122.834423671655 & 1.4337431555213 \tabularnewline
0.6 & 123.097316158201 & 1.37572797727483 \tabularnewline
0.61 & 123.351129506055 & 1.32707252213771 \tabularnewline
0.62 & 123.597261817079 & 1.28557889200397 \tabularnewline
0.63 & 123.836716003736 & 1.24858229320209 \tabularnewline
0.64 & 124.070094457863 & 1.21343260326443 \tabularnewline
0.65 & 124.297672736623 & 1.1777697867412 \tabularnewline
0.66 & 124.519560857303 & 1.14061291636629 \tabularnewline
0.67 & 124.7359497179 & 1.10212777707534 \tabularnewline
0.68 & 124.947427496046 & 1.06458671594669 \tabularnewline
0.69 & 125.155337122862 & 1.03199695926787 \tabularnewline
0.7 & 125.362132000375 & 1.01088409418445 \tabularnewline
0.71 & 125.571674554097 & 1.009062167644 \tabularnewline
0.72 & 125.7894131969 & 1.03614416876348 \tabularnewline
0.73 & 126.022370673511 & 1.10091650815841 \tabularnewline
0.74 & 126.278883816962 & 1.20912991288379 \tabularnewline
0.75 & 126.568054706725 & 1.3622066785923 \tabularnewline
0.76 & 126.898908528708 & 1.55604778130004 \tabularnewline
0.77 & 127.279304709087 & 1.78084081792524 \tabularnewline
0.78 & 127.714712541771 & 2.02130894838492 \tabularnewline
0.79 & 128.207033396624 & 2.2577017614124 \tabularnewline
0.8 & 128.753715986826 & 2.4676946551628 \tabularnewline
0.81 & 129.347450849541 & 2.62860412405626 \tabularnewline
0.82 & 129.976722912921 & 2.72224341532462 \tabularnewline
0.83 & 130.627424294223 & 2.73815300739014 \tabularnewline
0.84 & 131.285567446291 & 2.678119138194 \tabularnewline
0.85 & 131.940893304681 & 2.55938066141563 \tabularnewline
0.86 & 132.590874928907 & 2.41568177365044 \tabularnewline
0.87 & 133.244356937445 & 2.29643198584205 \tabularnewline
0.88 & 133.923978481623 & 2.26021092397103 \tabularnewline
0.89 & 134.666758192291 & 2.35947525163821 \tabularnewline
0.9 & 135.52286441884 & 2.62007054348388 \tabularnewline
0.91 & 136.553510638768 & 3.03507669219664 \tabularnewline
0.92 & 137.829472243257 & 3.57930167652222 \tabularnewline
0.93 & 139.430573170756 & 4.2304703838183 \tabularnewline
0.94 & 141.441936429479 & 4.97693985685247 \tabularnewline
0.95 & 143.934879206171 & 5.78719257339 \tabularnewline
0.96 & 146.915283054588 & 6.50429407758311 \tabularnewline
0.97 & 150.235011311127 & 6.70916796686399 \tabularnewline
0.98 & 153.506000477321 & 5.81938925324104 \tabularnewline
0.99 & 156.119332885015 & 3.79059523751711 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238452&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]56.7208921694166[/C][C]0.904016190944115[/C][/ROW]
[ROW][C]0.02[/C][C]57.4830230926761[/C][C]1.99890908596571[/C][/ROW]
[ROW][C]0.03[/C][C]58.7335896651378[/C][C]3.30831936788788[/C][/ROW]
[ROW][C]0.04[/C][C]60.4584227897827[/C][C]4.69308473632741[/C][/ROW]
[ROW][C]0.05[/C][C]62.6047807570179[/C][C]6.02704203304347[/C][/ROW]
[ROW][C]0.06[/C][C]65.0909174347185[/C][C]7.17577718354049[/C][/ROW]
[ROW][C]0.07[/C][C]67.8126455003751[/C][C]8.02957985880048[/C][/ROW]
[ROW][C]0.08[/C][C]70.6534092120264[/C][C]8.52639760847964[/C][/ROW]
[ROW][C]0.09[/C][C]73.4976660393758[/C][C]8.65695199121056[/C][/ROW]
[ROW][C]0.1[/C][C]76.244025843214[/C][C]8.45970980888451[/C][/ROW]
[ROW][C]0.11[/C][C]78.8148666907777[/C][C]8.00981342979937[/C][/ROW]
[ROW][C]0.12[/C][C]81.1607883574039[/C][C]7.40083853514777[/C][/ROW]
[ROW][C]0.13[/C][C]83.259859224371[/C][C]6.72463498179213[/C][/ROW]
[ROW][C]0.14[/C][C]85.1128271825732[/C][C]6.05400113637401[/C][/ROW]
[ROW][C]0.15[/C][C]86.7361997775269[/C][C]5.43469078446814[/C][/ROW]
[ROW][C]0.16[/C][C]88.1552137884944[/C][C]4.88669374848722[/C][/ROW]
[ROW][C]0.17[/C][C]89.3982266347803[/C][C]4.41329569220317[/C][/ROW]
[ROW][C]0.18[/C][C]90.4932368679476[/C][C]4.01092177873473[/C][/ROW]
[ROW][C]0.19[/C][C]91.4664436863551[/C][C]3.67708404639071[/C][/ROW]
[ROW][C]0.2[/C][C]92.3422467606566[/C][C]3.41486252228036[/C][/ROW]
[ROW][C]0.21[/C][C]93.1439336279834[/C][C]3.23249884998337[/C][/ROW]
[ROW][C]0.22[/C][C]93.8944147536875[/C][C]3.14166554634351[/C][/ROW]
[ROW][C]0.23[/C][C]94.6166027142035[/C][C]3.15345999067759[/C][/ROW]
[ROW][C]0.24[/C][C]95.3332729079204[/C][C]3.27399944663158[/C][/ROW]
[ROW][C]0.25[/C][C]96.0664262822724[/C][C]3.50109643961632[/C][/ROW]
[ROW][C]0.26[/C][C]96.8362865512271[/C][C]3.82341965155111[/C][/ROW]
[ROW][C]0.27[/C][C]97.6601180267235[/C][C]4.2215219372179[/C][/ROW]
[ROW][C]0.28[/C][C]98.5510634901046[/C][C]4.66975657027372[/C][/ROW]
[ROW][C]0.29[/C][C]99.5171872414948[/C][C]5.13870334705893[/C][/ROW]
[ROW][C]0.3[/C][C]100.56087310785[/C][C]5.59736025588896[/C][/ROW]
[ROW][C]0.31[/C][C]101.678674869846[/C][C]6.01536358434227[/C][/ROW]
[ROW][C]0.32[/C][C]102.861652984414[/C][C]6.36601840739138[/C][/ROW]
[ROW][C]0.33[/C][C]104.096165445658[/C][C]6.62791123105611[/C][/ROW]
[ROW][C]0.34[/C][C]105.365022687997[/C][C]6.78627707179097[/C][/ROW]
[ROW][C]0.35[/C][C]106.648875846068[/C][C]6.83432974033563[/C][/ROW]
[ROW][C]0.36[/C][C]107.927689574061[/C][C]6.77241214243074[/C][/ROW]
[ROW][C]0.37[/C][C]109.18215477723[/C][C]6.60827221681375[/C][/ROW]
[ROW][C]0.38[/C][C]110.394918291814[/C][C]6.35508586626246[/C][/ROW]
[ROW][C]0.39[/C][C]111.551538796664[/C][C]6.03019507121851[/C][/ROW]
[ROW][C]0.4[/C][C]112.641114377676[/C][C]5.65375269507003[/C][/ROW]
[ROW][C]0.41[/C][C]113.65656251011[/C][C]5.2467038827826[/C][/ROW]
[ROW][C]0.42[/C][C]114.59456539983[/C][C]4.82908376268001[/C][/ROW]
[ROW][C]0.43[/C][C]115.455221730923[/C][C]4.41895115303294[/C][/ROW]
[ROW][C]0.44[/C][C]116.241469207173[/C][C]4.03099409016919[/C][/ROW]
[ROW][C]0.45[/C][C]116.958359466122[/C][C]3.67536810453577[/C][/ROW]
[ROW][C]0.46[/C][C]117.612275887325[/C][C]3.35818373041107[/C][/ROW]
[ROW][C]0.47[/C][C]118.210183483078[/C][C]3.08084496651115[/C][/ROW]
[ROW][C]0.48[/C][C]118.758987635033[/C][C]2.84088626871054[/C][/ROW]
[ROW][C]0.49[/C][C]119.265056190776[/C][C]2.63365118852023[/C][/ROW]
[ROW][C]0.5[/C][C]119.733930848466[/C][C]2.45285609879321[/C][/ROW]
[ROW][C]0.51[/C][C]120.170223850307[/C][C]2.29263510039326[/C][/ROW]
[ROW][C]0.52[/C][C]120.577670060704[/C][C]2.14770756340342[/C][/ROW]
[ROW][C]0.53[/C][C]120.959286732513[/C][C]2.01488912924435[/C][/ROW]
[ROW][C]0.54[/C][C]121.317585845595[/C][C]1.89206209760236[/C][/ROW]
[ROW][C]0.55[/C][C]121.654786692328[/C][C]1.77887830543504[/C][/ROW]
[ROW][C]0.56[/C][C]121.972987284086[/C][C]1.67580157702514[/C][/ROW]
[ROW][C]0.57[/C][C]122.274268911071[/C][C]1.58356634365352[/C][/ROW]
[ROW][C]0.58[/C][C]122.560725332771[/C][C]1.50274081593473[/C][/ROW]
[ROW][C]0.59[/C][C]122.834423671655[/C][C]1.4337431555213[/C][/ROW]
[ROW][C]0.6[/C][C]123.097316158201[/C][C]1.37572797727483[/C][/ROW]
[ROW][C]0.61[/C][C]123.351129506055[/C][C]1.32707252213771[/C][/ROW]
[ROW][C]0.62[/C][C]123.597261817079[/C][C]1.28557889200397[/C][/ROW]
[ROW][C]0.63[/C][C]123.836716003736[/C][C]1.24858229320209[/C][/ROW]
[ROW][C]0.64[/C][C]124.070094457863[/C][C]1.21343260326443[/C][/ROW]
[ROW][C]0.65[/C][C]124.297672736623[/C][C]1.1777697867412[/C][/ROW]
[ROW][C]0.66[/C][C]124.519560857303[/C][C]1.14061291636629[/C][/ROW]
[ROW][C]0.67[/C][C]124.7359497179[/C][C]1.10212777707534[/C][/ROW]
[ROW][C]0.68[/C][C]124.947427496046[/C][C]1.06458671594669[/C][/ROW]
[ROW][C]0.69[/C][C]125.155337122862[/C][C]1.03199695926787[/C][/ROW]
[ROW][C]0.7[/C][C]125.362132000375[/C][C]1.01088409418445[/C][/ROW]
[ROW][C]0.71[/C][C]125.571674554097[/C][C]1.009062167644[/C][/ROW]
[ROW][C]0.72[/C][C]125.7894131969[/C][C]1.03614416876348[/C][/ROW]
[ROW][C]0.73[/C][C]126.022370673511[/C][C]1.10091650815841[/C][/ROW]
[ROW][C]0.74[/C][C]126.278883816962[/C][C]1.20912991288379[/C][/ROW]
[ROW][C]0.75[/C][C]126.568054706725[/C][C]1.3622066785923[/C][/ROW]
[ROW][C]0.76[/C][C]126.898908528708[/C][C]1.55604778130004[/C][/ROW]
[ROW][C]0.77[/C][C]127.279304709087[/C][C]1.78084081792524[/C][/ROW]
[ROW][C]0.78[/C][C]127.714712541771[/C][C]2.02130894838492[/C][/ROW]
[ROW][C]0.79[/C][C]128.207033396624[/C][C]2.2577017614124[/C][/ROW]
[ROW][C]0.8[/C][C]128.753715986826[/C][C]2.4676946551628[/C][/ROW]
[ROW][C]0.81[/C][C]129.347450849541[/C][C]2.62860412405626[/C][/ROW]
[ROW][C]0.82[/C][C]129.976722912921[/C][C]2.72224341532462[/C][/ROW]
[ROW][C]0.83[/C][C]130.627424294223[/C][C]2.73815300739014[/C][/ROW]
[ROW][C]0.84[/C][C]131.285567446291[/C][C]2.678119138194[/C][/ROW]
[ROW][C]0.85[/C][C]131.940893304681[/C][C]2.55938066141563[/C][/ROW]
[ROW][C]0.86[/C][C]132.590874928907[/C][C]2.41568177365044[/C][/ROW]
[ROW][C]0.87[/C][C]133.244356937445[/C][C]2.29643198584205[/C][/ROW]
[ROW][C]0.88[/C][C]133.923978481623[/C][C]2.26021092397103[/C][/ROW]
[ROW][C]0.89[/C][C]134.666758192291[/C][C]2.35947525163821[/C][/ROW]
[ROW][C]0.9[/C][C]135.52286441884[/C][C]2.62007054348388[/C][/ROW]
[ROW][C]0.91[/C][C]136.553510638768[/C][C]3.03507669219664[/C][/ROW]
[ROW][C]0.92[/C][C]137.829472243257[/C][C]3.57930167652222[/C][/ROW]
[ROW][C]0.93[/C][C]139.430573170756[/C][C]4.2304703838183[/C][/ROW]
[ROW][C]0.94[/C][C]141.441936429479[/C][C]4.97693985685247[/C][/ROW]
[ROW][C]0.95[/C][C]143.934879206171[/C][C]5.78719257339[/C][/ROW]
[ROW][C]0.96[/C][C]146.915283054588[/C][C]6.50429407758311[/C][/ROW]
[ROW][C]0.97[/C][C]150.235011311127[/C][C]6.70916796686399[/C][/ROW]
[ROW][C]0.98[/C][C]153.506000477321[/C][C]5.81938925324104[/C][/ROW]
[ROW][C]0.99[/C][C]156.119332885015[/C][C]3.79059523751711[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238452&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238452&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
0.0156.72089216941660.904016190944115
0.0257.48302309267611.99890908596571
0.0358.73358966513783.30831936788788
0.0460.45842278978274.69308473632741
0.0562.60478075701796.02704203304347
0.0665.09091743471857.17577718354049
0.0767.81264550037518.02957985880048
0.0870.65340921202648.52639760847964
0.0973.49766603937588.65695199121056
0.176.2440258432148.45970980888451
0.1178.81486669077778.00981342979937
0.1281.16078835740397.40083853514777
0.1383.2598592243716.72463498179213
0.1485.11282718257326.05400113637401
0.1586.73619977752695.43469078446814
0.1688.15521378849444.88669374848722
0.1789.39822663478034.41329569220317
0.1890.49323686794764.01092177873473
0.1991.46644368635513.67708404639071
0.292.34224676065663.41486252228036
0.2193.14393362798343.23249884998337
0.2293.89441475368753.14166554634351
0.2394.61660271420353.15345999067759
0.2495.33327290792043.27399944663158
0.2596.06642628227243.50109643961632
0.2696.83628655122713.82341965155111
0.2797.66011802672354.2215219372179
0.2898.55106349010464.66975657027372
0.2999.51718724149485.13870334705893
0.3100.560873107855.59736025588896
0.31101.6786748698466.01536358434227
0.32102.8616529844146.36601840739138
0.33104.0961654456586.62791123105611
0.34105.3650226879976.78627707179097
0.35106.6488758460686.83432974033563
0.36107.9276895740616.77241214243074
0.37109.182154777236.60827221681375
0.38110.3949182918146.35508586626246
0.39111.5515387966646.03019507121851
0.4112.6411143776765.65375269507003
0.41113.656562510115.2467038827826
0.42114.594565399834.82908376268001
0.43115.4552217309234.41895115303294
0.44116.2414692071734.03099409016919
0.45116.9583594661223.67536810453577
0.46117.6122758873253.35818373041107
0.47118.2101834830783.08084496651115
0.48118.7589876350332.84088626871054
0.49119.2650561907762.63365118852023
0.5119.7339308484662.45285609879321
0.51120.1702238503072.29263510039326
0.52120.5776700607042.14770756340342
0.53120.9592867325132.01488912924435
0.54121.3175858455951.89206209760236
0.55121.6547866923281.77887830543504
0.56121.9729872840861.67580157702514
0.57122.2742689110711.58356634365352
0.58122.5607253327711.50274081593473
0.59122.8344236716551.4337431555213
0.6123.0973161582011.37572797727483
0.61123.3511295060551.32707252213771
0.62123.5972618170791.28557889200397
0.63123.8367160037361.24858229320209
0.64124.0700944578631.21343260326443
0.65124.2976727366231.1777697867412
0.66124.5195608573031.14061291636629
0.67124.73594971791.10212777707534
0.68124.9474274960461.06458671594669
0.69125.1553371228621.03199695926787
0.7125.3621320003751.01088409418445
0.71125.5716745540971.009062167644
0.72125.78941319691.03614416876348
0.73126.0223706735111.10091650815841
0.74126.2788838169621.20912991288379
0.75126.5680547067251.3622066785923
0.76126.8989085287081.55604778130004
0.77127.2793047090871.78084081792524
0.78127.7147125417712.02130894838492
0.79128.2070333966242.2577017614124
0.8128.7537159868262.4676946551628
0.81129.3474508495412.62860412405626
0.82129.9767229129212.72224341532462
0.83130.6274242942232.73815300739014
0.84131.2855674462912.678119138194
0.85131.9408933046812.55938066141563
0.86132.5908749289072.41568177365044
0.87133.2443569374452.29643198584205
0.88133.9239784816232.26021092397103
0.89134.6667581922912.35947525163821
0.9135.522864418842.62007054348388
0.91136.5535106387683.03507669219664
0.92137.8294722432573.57930167652222
0.93139.4305731707564.2304703838183
0.94141.4419364294794.97693985685247
0.95143.9348792061715.78719257339
0.96146.9152830545886.50429407758311
0.97150.2350113111276.70916796686399
0.98153.5060004773215.81938925324104
0.99156.1193328850153.79059523751711


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')