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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 31 Oct 2008 15:19:33 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/31/t1225488326lp2qp6x0zyoyg27.htm/, Retrieved Sun, 19 May 2024 13:57:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=20321, Retrieved Sun, 19 May 2024 13:57:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact140

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
F   PD  [Harrell-Davis Quantiles] [Q9] [2008-10-27 20:43:11] [23bfa928dab4b48567707937094f7011]
- R  D      [Harrell-Davis Quantiles] [Investigating Dis...] [2008-10-31 21:19:33] [c33ddd06d9ea3933c8ac89c0e74c9b3a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
118.63
121.83
119.97
124.98
129.99
126.60
121.71
119.28
122.63
116.74
114.23
113.23
112.75
113.54
115.30
121.05
119.51
116.78
117.17
117.50
119.65
120.97
117.18
116.87
119.46
122.52
124.10
118.39
113.10
113.94
114.58
118.79
120.44
118.37
118.44
117.93
117.76
118.29
121.11
124.86
131.17
130.16
131.76
134.70
135.32
140.23
136.31
131.62
128.90
133.89
138.21
146.12
144.69
149.18
156.60
158.87
164.85
162.89
153.31
150.91

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20321&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20321&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20321&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-14.16175203181750.3149422112056
0.02-14.0271417505110.300996072996057
0.03-13.86952283985330.333475405685213
0.04-13.70012696249890.408083521521430
0.05-13.51826826959840.506072656948047
0.06-13.3193846414790.615989902139102
0.07-13.09990106964050.732648250275098
0.08-12.85864798808540.851124609770005
0.09-12.59687363946720.963378359400412
0.1-12.31805117952451.05866681782788
0.11-12.02764026046171.12623643929176
0.12-11.73259984790631.15850987949679
0.13-11.44056264143381.15331614954961
0.14-11.15880614018521.11425661867846
0.15-10.89328214371991.04965046029921
0.16-10.64794962447500.970437033991632
0.17-10.42454105631680.887730990579639
0.18-10.22275146274020.810840552450275
0.19-10.04073081688780.745863580034317
0.2-9.87571161094670.695285589789147
0.21-9.724612735880650.658436354882256
0.22-9.584508420127760.632622407099806
0.23-9.452911982875690.614485529406537
0.24-9.327878375576090.601047225444764
0.25-9.207965744815650.590314882111131
0.26-9.09211210561850.581415420909378
0.27-8.979482131027790.574455413258998
0.28-8.869327115090450.570202774315325
0.29-8.76088450199590.569735679892752
0.3-8.653326834338680.574045119614059
0.31-8.545756656609650.583796302442741
0.32-8.437235296736440.599126725796522
0.33-8.326829742334020.619716421715
0.34-8.213662325821450.644870014225382
0.35-8.09695136745250.673729622942121
0.36-7.976035792116380.70543446654362
0.37-7.850381596971610.739221935820231
0.38-7.719571800024880.774537661641299
0.39-7.58328355856710.810997160586929
0.4-7.44125649523020.848422692242686
0.41-7.293255375252430.88678474015576
0.42-7.139028887487120.926250826853792
0.43-6.978265160957130.96722892977827
0.44-6.810544350170871.01039948846469
0.45-6.635289334767061.05679573008086
0.46-6.451717105441711.10781274231188
0.47-6.258795263468361.16519940521693
0.48-6.055209647986731.23091478235598
0.49-5.839349904458391.30699346034171
0.5-5.609319521433941.39527897675342
0.51-5.362975468308571.49720611899391
0.52-5.098000273164571.61356691514907
0.53-4.812006514686881.74431666425353
0.54-4.50267057920971.88843224125744
0.55-4.167889358760992.04388355945816
0.56-3.805950421612212.20758698239548
0.57-3.415703109978482.37545400902473
0.58-2.996715138085312.54252965457829
0.59-2.549396934638462.70319843550351
0.6-2.075074843768582.85152040185359
0.61-1.575995227072612.98165002225529
0.62-1.055245330912993.08839416581505
0.63-0.5165839532296813.16776515090081
0.640.03581482548776333.21754484246042
0.650.597689553115463.23772385270829
0.661.165064023931523.230751588707
0.671.734629128190393.20153498116090
0.682.304095528959273.15713455667103
0.692.872482878821643.10621192124010
0.73.440322046491483.05825301846249
0.714.009761652790083.02274395439916
0.724.58458474530843.0084167424649
0.735.170150619745323.02278773030833
0.745.773276597341793.07194628035336
0.756.402063831134683.16058974481497
0.767.065652972677053.29201933559507
0.777.773877164448123.46777582653420
0.788.536771570095363.68680157686615
0.799.363910489355453.94426265556363
0.810.26358059325744.23051559425175
0.8111.24185918034584.53065408444404
0.8212.30173633289514.82516188228441
0.8313.44247681032425.09178842549573
0.8414.65943458755485.30857625337911
0.8515.94448777889145.45750264311402
0.8617.28714706131865.52801892108108
0.8718.67622386224095.5195520510602
0.8820.10177055482495.44197249910654
0.8921.55688745960945.31353739074072
0.923.03898485017585.15619266930454
0.9124.55019086572524.98945906523022
0.9226.09671004237294.82502429459956
0.9327.68688594197194.66459995051004
0.9429.32737607657534.49996911846967
0.9531.01629944390294.30871578416954
0.9632.73183409601984.04081529095000
0.9734.41526952454483.61735799003164
0.9835.95128987213532.99754545823784
0.9937.16137874282852.32676120558748

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -14.1617520318175 & 0.3149422112056 \tabularnewline
0.02 & -14.027141750511 & 0.300996072996057 \tabularnewline
0.03 & -13.8695228398533 & 0.333475405685213 \tabularnewline
0.04 & -13.7001269624989 & 0.408083521521430 \tabularnewline
0.05 & -13.5182682695984 & 0.506072656948047 \tabularnewline
0.06 & -13.319384641479 & 0.615989902139102 \tabularnewline
0.07 & -13.0999010696405 & 0.732648250275098 \tabularnewline
0.08 & -12.8586479880854 & 0.851124609770005 \tabularnewline
0.09 & -12.5968736394672 & 0.963378359400412 \tabularnewline
0.1 & -12.3180511795245 & 1.05866681782788 \tabularnewline
0.11 & -12.0276402604617 & 1.12623643929176 \tabularnewline
0.12 & -11.7325998479063 & 1.15850987949679 \tabularnewline
0.13 & -11.4405626414338 & 1.15331614954961 \tabularnewline
0.14 & -11.1588061401852 & 1.11425661867846 \tabularnewline
0.15 & -10.8932821437199 & 1.04965046029921 \tabularnewline
0.16 & -10.6479496244750 & 0.970437033991632 \tabularnewline
0.17 & -10.4245410563168 & 0.887730990579639 \tabularnewline
0.18 & -10.2227514627402 & 0.810840552450275 \tabularnewline
0.19 & -10.0407308168878 & 0.745863580034317 \tabularnewline
0.2 & -9.8757116109467 & 0.695285589789147 \tabularnewline
0.21 & -9.72461273588065 & 0.658436354882256 \tabularnewline
0.22 & -9.58450842012776 & 0.632622407099806 \tabularnewline
0.23 & -9.45291198287569 & 0.614485529406537 \tabularnewline
0.24 & -9.32787837557609 & 0.601047225444764 \tabularnewline
0.25 & -9.20796574481565 & 0.590314882111131 \tabularnewline
0.26 & -9.0921121056185 & 0.581415420909378 \tabularnewline
0.27 & -8.97948213102779 & 0.574455413258998 \tabularnewline
0.28 & -8.86932711509045 & 0.570202774315325 \tabularnewline
0.29 & -8.7608845019959 & 0.569735679892752 \tabularnewline
0.3 & -8.65332683433868 & 0.574045119614059 \tabularnewline
0.31 & -8.54575665660965 & 0.583796302442741 \tabularnewline
0.32 & -8.43723529673644 & 0.599126725796522 \tabularnewline
0.33 & -8.32682974233402 & 0.619716421715 \tabularnewline
0.34 & -8.21366232582145 & 0.644870014225382 \tabularnewline
0.35 & -8.0969513674525 & 0.673729622942121 \tabularnewline
0.36 & -7.97603579211638 & 0.70543446654362 \tabularnewline
0.37 & -7.85038159697161 & 0.739221935820231 \tabularnewline
0.38 & -7.71957180002488 & 0.774537661641299 \tabularnewline
0.39 & -7.5832835585671 & 0.810997160586929 \tabularnewline
0.4 & -7.4412564952302 & 0.848422692242686 \tabularnewline
0.41 & -7.29325537525243 & 0.88678474015576 \tabularnewline
0.42 & -7.13902888748712 & 0.926250826853792 \tabularnewline
0.43 & -6.97826516095713 & 0.96722892977827 \tabularnewline
0.44 & -6.81054435017087 & 1.01039948846469 \tabularnewline
0.45 & -6.63528933476706 & 1.05679573008086 \tabularnewline
0.46 & -6.45171710544171 & 1.10781274231188 \tabularnewline
0.47 & -6.25879526346836 & 1.16519940521693 \tabularnewline
0.48 & -6.05520964798673 & 1.23091478235598 \tabularnewline
0.49 & -5.83934990445839 & 1.30699346034171 \tabularnewline
0.5 & -5.60931952143394 & 1.39527897675342 \tabularnewline
0.51 & -5.36297546830857 & 1.49720611899391 \tabularnewline
0.52 & -5.09800027316457 & 1.61356691514907 \tabularnewline
0.53 & -4.81200651468688 & 1.74431666425353 \tabularnewline
0.54 & -4.5026705792097 & 1.88843224125744 \tabularnewline
0.55 & -4.16788935876099 & 2.04388355945816 \tabularnewline
0.56 & -3.80595042161221 & 2.20758698239548 \tabularnewline
0.57 & -3.41570310997848 & 2.37545400902473 \tabularnewline
0.58 & -2.99671513808531 & 2.54252965457829 \tabularnewline
0.59 & -2.54939693463846 & 2.70319843550351 \tabularnewline
0.6 & -2.07507484376858 & 2.85152040185359 \tabularnewline
0.61 & -1.57599522707261 & 2.98165002225529 \tabularnewline
0.62 & -1.05524533091299 & 3.08839416581505 \tabularnewline
0.63 & -0.516583953229681 & 3.16776515090081 \tabularnewline
0.64 & 0.0358148254877633 & 3.21754484246042 \tabularnewline
0.65 & 0.59768955311546 & 3.23772385270829 \tabularnewline
0.66 & 1.16506402393152 & 3.230751588707 \tabularnewline
0.67 & 1.73462912819039 & 3.20153498116090 \tabularnewline
0.68 & 2.30409552895927 & 3.15713455667103 \tabularnewline
0.69 & 2.87248287882164 & 3.10621192124010 \tabularnewline
0.7 & 3.44032204649148 & 3.05825301846249 \tabularnewline
0.71 & 4.00976165279008 & 3.02274395439916 \tabularnewline
0.72 & 4.5845847453084 & 3.0084167424649 \tabularnewline
0.73 & 5.17015061974532 & 3.02278773030833 \tabularnewline
0.74 & 5.77327659734179 & 3.07194628035336 \tabularnewline
0.75 & 6.40206383113468 & 3.16058974481497 \tabularnewline
0.76 & 7.06565297267705 & 3.29201933559507 \tabularnewline
0.77 & 7.77387716444812 & 3.46777582653420 \tabularnewline
0.78 & 8.53677157009536 & 3.68680157686615 \tabularnewline
0.79 & 9.36391048935545 & 3.94426265556363 \tabularnewline
0.8 & 10.2635805932574 & 4.23051559425175 \tabularnewline
0.81 & 11.2418591803458 & 4.53065408444404 \tabularnewline
0.82 & 12.3017363328951 & 4.82516188228441 \tabularnewline
0.83 & 13.4424768103242 & 5.09178842549573 \tabularnewline
0.84 & 14.6594345875548 & 5.30857625337911 \tabularnewline
0.85 & 15.9444877788914 & 5.45750264311402 \tabularnewline
0.86 & 17.2871470613186 & 5.52801892108108 \tabularnewline
0.87 & 18.6762238622409 & 5.5195520510602 \tabularnewline
0.88 & 20.1017705548249 & 5.44197249910654 \tabularnewline
0.89 & 21.5568874596094 & 5.31353739074072 \tabularnewline
0.9 & 23.0389848501758 & 5.15619266930454 \tabularnewline
0.91 & 24.5501908657252 & 4.98945906523022 \tabularnewline
0.92 & 26.0967100423729 & 4.82502429459956 \tabularnewline
0.93 & 27.6868859419719 & 4.66459995051004 \tabularnewline
0.94 & 29.3273760765753 & 4.49996911846967 \tabularnewline
0.95 & 31.0162994439029 & 4.30871578416954 \tabularnewline
0.96 & 32.7318340960198 & 4.04081529095000 \tabularnewline
0.97 & 34.4152695245448 & 3.61735799003164 \tabularnewline
0.98 & 35.9512898721353 & 2.99754545823784 \tabularnewline
0.99 & 37.1613787428285 & 2.32676120558748 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20321&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]-14.1617520318175[/C][C]0.3149422112056[/C][/ROW]
[ROW][C]0.02[/C][C]-14.027141750511[/C][C]0.300996072996057[/C][/ROW]
[ROW][C]0.03[/C][C]-13.8695228398533[/C][C]0.333475405685213[/C][/ROW]
[ROW][C]0.04[/C][C]-13.7001269624989[/C][C]0.408083521521430[/C][/ROW]
[ROW][C]0.05[/C][C]-13.5182682695984[/C][C]0.506072656948047[/C][/ROW]
[ROW][C]0.06[/C][C]-13.319384641479[/C][C]0.615989902139102[/C][/ROW]
[ROW][C]0.07[/C][C]-13.0999010696405[/C][C]0.732648250275098[/C][/ROW]
[ROW][C]0.08[/C][C]-12.8586479880854[/C][C]0.851124609770005[/C][/ROW]
[ROW][C]0.09[/C][C]-12.5968736394672[/C][C]0.963378359400412[/C][/ROW]
[ROW][C]0.1[/C][C]-12.3180511795245[/C][C]1.05866681782788[/C][/ROW]
[ROW][C]0.11[/C][C]-12.0276402604617[/C][C]1.12623643929176[/C][/ROW]
[ROW][C]0.12[/C][C]-11.7325998479063[/C][C]1.15850987949679[/C][/ROW]
[ROW][C]0.13[/C][C]-11.4405626414338[/C][C]1.15331614954961[/C][/ROW]
[ROW][C]0.14[/C][C]-11.1588061401852[/C][C]1.11425661867846[/C][/ROW]
[ROW][C]0.15[/C][C]-10.8932821437199[/C][C]1.04965046029921[/C][/ROW]
[ROW][C]0.16[/C][C]-10.6479496244750[/C][C]0.970437033991632[/C][/ROW]
[ROW][C]0.17[/C][C]-10.4245410563168[/C][C]0.887730990579639[/C][/ROW]
[ROW][C]0.18[/C][C]-10.2227514627402[/C][C]0.810840552450275[/C][/ROW]
[ROW][C]0.19[/C][C]-10.0407308168878[/C][C]0.745863580034317[/C][/ROW]
[ROW][C]0.2[/C][C]-9.8757116109467[/C][C]0.695285589789147[/C][/ROW]
[ROW][C]0.21[/C][C]-9.72461273588065[/C][C]0.658436354882256[/C][/ROW]
[ROW][C]0.22[/C][C]-9.58450842012776[/C][C]0.632622407099806[/C][/ROW]
[ROW][C]0.23[/C][C]-9.45291198287569[/C][C]0.614485529406537[/C][/ROW]
[ROW][C]0.24[/C][C]-9.32787837557609[/C][C]0.601047225444764[/C][/ROW]
[ROW][C]0.25[/C][C]-9.20796574481565[/C][C]0.590314882111131[/C][/ROW]
[ROW][C]0.26[/C][C]-9.0921121056185[/C][C]0.581415420909378[/C][/ROW]
[ROW][C]0.27[/C][C]-8.97948213102779[/C][C]0.574455413258998[/C][/ROW]
[ROW][C]0.28[/C][C]-8.86932711509045[/C][C]0.570202774315325[/C][/ROW]
[ROW][C]0.29[/C][C]-8.7608845019959[/C][C]0.569735679892752[/C][/ROW]
[ROW][C]0.3[/C][C]-8.65332683433868[/C][C]0.574045119614059[/C][/ROW]
[ROW][C]0.31[/C][C]-8.54575665660965[/C][C]0.583796302442741[/C][/ROW]
[ROW][C]0.32[/C][C]-8.43723529673644[/C][C]0.599126725796522[/C][/ROW]
[ROW][C]0.33[/C][C]-8.32682974233402[/C][C]0.619716421715[/C][/ROW]
[ROW][C]0.34[/C][C]-8.21366232582145[/C][C]0.644870014225382[/C][/ROW]
[ROW][C]0.35[/C][C]-8.0969513674525[/C][C]0.673729622942121[/C][/ROW]
[ROW][C]0.36[/C][C]-7.97603579211638[/C][C]0.70543446654362[/C][/ROW]
[ROW][C]0.37[/C][C]-7.85038159697161[/C][C]0.739221935820231[/C][/ROW]
[ROW][C]0.38[/C][C]-7.71957180002488[/C][C]0.774537661641299[/C][/ROW]
[ROW][C]0.39[/C][C]-7.5832835585671[/C][C]0.810997160586929[/C][/ROW]
[ROW][C]0.4[/C][C]-7.4412564952302[/C][C]0.848422692242686[/C][/ROW]
[ROW][C]0.41[/C][C]-7.29325537525243[/C][C]0.88678474015576[/C][/ROW]
[ROW][C]0.42[/C][C]-7.13902888748712[/C][C]0.926250826853792[/C][/ROW]
[ROW][C]0.43[/C][C]-6.97826516095713[/C][C]0.96722892977827[/C][/ROW]
[ROW][C]0.44[/C][C]-6.81054435017087[/C][C]1.01039948846469[/C][/ROW]
[ROW][C]0.45[/C][C]-6.63528933476706[/C][C]1.05679573008086[/C][/ROW]
[ROW][C]0.46[/C][C]-6.45171710544171[/C][C]1.10781274231188[/C][/ROW]
[ROW][C]0.47[/C][C]-6.25879526346836[/C][C]1.16519940521693[/C][/ROW]
[ROW][C]0.48[/C][C]-6.05520964798673[/C][C]1.23091478235598[/C][/ROW]
[ROW][C]0.49[/C][C]-5.83934990445839[/C][C]1.30699346034171[/C][/ROW]
[ROW][C]0.5[/C][C]-5.60931952143394[/C][C]1.39527897675342[/C][/ROW]
[ROW][C]0.51[/C][C]-5.36297546830857[/C][C]1.49720611899391[/C][/ROW]
[ROW][C]0.52[/C][C]-5.09800027316457[/C][C]1.61356691514907[/C][/ROW]
[ROW][C]0.53[/C][C]-4.81200651468688[/C][C]1.74431666425353[/C][/ROW]
[ROW][C]0.54[/C][C]-4.5026705792097[/C][C]1.88843224125744[/C][/ROW]
[ROW][C]0.55[/C][C]-4.16788935876099[/C][C]2.04388355945816[/C][/ROW]
[ROW][C]0.56[/C][C]-3.80595042161221[/C][C]2.20758698239548[/C][/ROW]
[ROW][C]0.57[/C][C]-3.41570310997848[/C][C]2.37545400902473[/C][/ROW]
[ROW][C]0.58[/C][C]-2.99671513808531[/C][C]2.54252965457829[/C][/ROW]
[ROW][C]0.59[/C][C]-2.54939693463846[/C][C]2.70319843550351[/C][/ROW]
[ROW][C]0.6[/C][C]-2.07507484376858[/C][C]2.85152040185359[/C][/ROW]
[ROW][C]0.61[/C][C]-1.57599522707261[/C][C]2.98165002225529[/C][/ROW]
[ROW][C]0.62[/C][C]-1.05524533091299[/C][C]3.08839416581505[/C][/ROW]
[ROW][C]0.63[/C][C]-0.516583953229681[/C][C]3.16776515090081[/C][/ROW]
[ROW][C]0.64[/C][C]0.0358148254877633[/C][C]3.21754484246042[/C][/ROW]
[ROW][C]0.65[/C][C]0.59768955311546[/C][C]3.23772385270829[/C][/ROW]
[ROW][C]0.66[/C][C]1.16506402393152[/C][C]3.230751588707[/C][/ROW]
[ROW][C]0.67[/C][C]1.73462912819039[/C][C]3.20153498116090[/C][/ROW]
[ROW][C]0.68[/C][C]2.30409552895927[/C][C]3.15713455667103[/C][/ROW]
[ROW][C]0.69[/C][C]2.87248287882164[/C][C]3.10621192124010[/C][/ROW]
[ROW][C]0.7[/C][C]3.44032204649148[/C][C]3.05825301846249[/C][/ROW]
[ROW][C]0.71[/C][C]4.00976165279008[/C][C]3.02274395439916[/C][/ROW]
[ROW][C]0.72[/C][C]4.5845847453084[/C][C]3.0084167424649[/C][/ROW]
[ROW][C]0.73[/C][C]5.17015061974532[/C][C]3.02278773030833[/C][/ROW]
[ROW][C]0.74[/C][C]5.77327659734179[/C][C]3.07194628035336[/C][/ROW]
[ROW][C]0.75[/C][C]6.40206383113468[/C][C]3.16058974481497[/C][/ROW]
[ROW][C]0.76[/C][C]7.06565297267705[/C][C]3.29201933559507[/C][/ROW]
[ROW][C]0.77[/C][C]7.77387716444812[/C][C]3.46777582653420[/C][/ROW]
[ROW][C]0.78[/C][C]8.53677157009536[/C][C]3.68680157686615[/C][/ROW]
[ROW][C]0.79[/C][C]9.36391048935545[/C][C]3.94426265556363[/C][/ROW]
[ROW][C]0.8[/C][C]10.2635805932574[/C][C]4.23051559425175[/C][/ROW]
[ROW][C]0.81[/C][C]11.2418591803458[/C][C]4.53065408444404[/C][/ROW]
[ROW][C]0.82[/C][C]12.3017363328951[/C][C]4.82516188228441[/C][/ROW]
[ROW][C]0.83[/C][C]13.4424768103242[/C][C]5.09178842549573[/C][/ROW]
[ROW][C]0.84[/C][C]14.6594345875548[/C][C]5.30857625337911[/C][/ROW]
[ROW][C]0.85[/C][C]15.9444877788914[/C][C]5.45750264311402[/C][/ROW]
[ROW][C]0.86[/C][C]17.2871470613186[/C][C]5.52801892108108[/C][/ROW]
[ROW][C]0.87[/C][C]18.6762238622409[/C][C]5.5195520510602[/C][/ROW]
[ROW][C]0.88[/C][C]20.1017705548249[/C][C]5.44197249910654[/C][/ROW]
[ROW][C]0.89[/C][C]21.5568874596094[/C][C]5.31353739074072[/C][/ROW]
[ROW][C]0.9[/C][C]23.0389848501758[/C][C]5.15619266930454[/C][/ROW]
[ROW][C]0.91[/C][C]24.5501908657252[/C][C]4.98945906523022[/C][/ROW]
[ROW][C]0.92[/C][C]26.0967100423729[/C][C]4.82502429459956[/C][/ROW]
[ROW][C]0.93[/C][C]27.6868859419719[/C][C]4.66459995051004[/C][/ROW]
[ROW][C]0.94[/C][C]29.3273760765753[/C][C]4.49996911846967[/C][/ROW]
[ROW][C]0.95[/C][C]31.0162994439029[/C][C]4.30871578416954[/C][/ROW]
[ROW][C]0.96[/C][C]32.7318340960198[/C][C]4.04081529095000[/C][/ROW]
[ROW][C]0.97[/C][C]34.4152695245448[/C][C]3.61735799003164[/C][/ROW]
[ROW][C]0.98[/C][C]35.9512898721353[/C][C]2.99754545823784[/C][/ROW]
[ROW][C]0.99[/C][C]37.1613787428285[/C][C]2.32676120558748[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20321&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20321&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
0.01-14.16175203181750.3149422112056
0.02-14.0271417505110.300996072996057
0.03-13.86952283985330.333475405685213
0.04-13.70012696249890.408083521521430
0.05-13.51826826959840.506072656948047
0.06-13.3193846414790.615989902139102
0.07-13.09990106964050.732648250275098
0.08-12.85864798808540.851124609770005
0.09-12.59687363946720.963378359400412
0.1-12.31805117952451.05866681782788
0.11-12.02764026046171.12623643929176
0.12-11.73259984790631.15850987949679
0.13-11.44056264143381.15331614954961
0.14-11.15880614018521.11425661867846
0.15-10.89328214371991.04965046029921
0.16-10.64794962447500.970437033991632
0.17-10.42454105631680.887730990579639
0.18-10.22275146274020.810840552450275
0.19-10.04073081688780.745863580034317
0.2-9.87571161094670.695285589789147
0.21-9.724612735880650.658436354882256
0.22-9.584508420127760.632622407099806
0.23-9.452911982875690.614485529406537
0.24-9.327878375576090.601047225444764
0.25-9.207965744815650.590314882111131
0.26-9.09211210561850.581415420909378
0.27-8.979482131027790.574455413258998
0.28-8.869327115090450.570202774315325
0.29-8.76088450199590.569735679892752
0.3-8.653326834338680.574045119614059
0.31-8.545756656609650.583796302442741
0.32-8.437235296736440.599126725796522
0.33-8.326829742334020.619716421715
0.34-8.213662325821450.644870014225382
0.35-8.09695136745250.673729622942121
0.36-7.976035792116380.70543446654362
0.37-7.850381596971610.739221935820231
0.38-7.719571800024880.774537661641299
0.39-7.58328355856710.810997160586929
0.4-7.44125649523020.848422692242686
0.41-7.293255375252430.88678474015576
0.42-7.139028887487120.926250826853792
0.43-6.978265160957130.96722892977827
0.44-6.810544350170871.01039948846469
0.45-6.635289334767061.05679573008086
0.46-6.451717105441711.10781274231188
0.47-6.258795263468361.16519940521693
0.48-6.055209647986731.23091478235598
0.49-5.839349904458391.30699346034171
0.5-5.609319521433941.39527897675342
0.51-5.362975468308571.49720611899391
0.52-5.098000273164571.61356691514907
0.53-4.812006514686881.74431666425353
0.54-4.50267057920971.88843224125744
0.55-4.167889358760992.04388355945816
0.56-3.805950421612212.20758698239548
0.57-3.415703109978482.37545400902473
0.58-2.996715138085312.54252965457829
0.59-2.549396934638462.70319843550351
0.6-2.075074843768582.85152040185359
0.61-1.575995227072612.98165002225529
0.62-1.055245330912993.08839416581505
0.63-0.5165839532296813.16776515090081
0.640.03581482548776333.21754484246042
0.650.597689553115463.23772385270829
0.661.165064023931523.230751588707
0.671.734629128190393.20153498116090
0.682.304095528959273.15713455667103
0.692.872482878821643.10621192124010
0.73.440322046491483.05825301846249
0.714.009761652790083.02274395439916
0.724.58458474530843.0084167424649
0.735.170150619745323.02278773030833
0.745.773276597341793.07194628035336
0.756.402063831134683.16058974481497
0.767.065652972677053.29201933559507
0.777.773877164448123.46777582653420
0.788.536771570095363.68680157686615
0.799.363910489355453.94426265556363
0.810.26358059325744.23051559425175
0.8111.24185918034584.53065408444404
0.8212.30173633289514.82516188228441
0.8313.44247681032425.09178842549573
0.8414.65943458755485.30857625337911
0.8515.94448777889145.45750264311402
0.8617.28714706131865.52801892108108
0.8718.67622386224095.5195520510602
0.8820.10177055482495.44197249910654
0.8921.55688745960945.31353739074072
0.923.03898485017585.15619266930454
0.9124.55019086572524.98945906523022
0.9226.09671004237294.82502429459956
0.9327.68688594197194.66459995051004
0.9429.32737607657534.49996911846967
0.9531.01629944390294.30871578416954
0.9632.73183409601984.04081529095000
0.9734.41526952454483.61735799003164
0.9835.95128987213532.99754545823784
0.9937.16137874282852.32676120558748


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):
x <- x-126.997666666667
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')