FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 15 Oct 2012 14:37:15 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/15/t135032639459j1jyve944wzfj.htm/, Retrieved Tue, 07 May 2024 22:21:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=177668, Retrieved Tue, 07 May 2024 22:21:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact83

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] [percentielen prij...] [2012-10-15 18:37:15] [0eb944f3503275fc9620f614518415ca] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
79.57
77.45
75.79
74.88
74.5
74.59
74.59
73.57
73.3
73.23
73
72.31
72.31
71.24
70.82
70.66
69.94
69.87
69.87
68.88
68.09
68.38
66.78
67.2
67.2
66.67
65.86
66.05
66.31
66.39
66.39
65.72
65.52
64.93
65.27
65.04
65.02
64.72
64.68
64.41
64.79
64.71
64.71
64.83
64.77
64.19
64.27
64.23
64.23
63.03
62.85
62.15
61.69
62.1
62.1
61.81
61.28
61.05
61.08
60.98
60.98
61.11
60.58
60.37
59.44
59.29
59.29
59.33
59.06
58.75
58.92
58.73

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=177668&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=177668&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=177668&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0158.75401055975350.0674577348184931
0.0258.80720504329940.133161974792939
0.0358.8853990800680.185883762421407
0.0458.97993502559870.222739239990297
0.0559.0840593742040.256119426311638
0.0659.19579008397460.301688365437079
0.0759.31732742252140.367976717306595
0.0859.45251940157080.451078446041243
0.0959.60402378765710.53741195697246
0.159.771385378930.610456891892581
0.1159.95061018664610.657294494570583
0.1260.13514025947390.672015507137488
0.1360.3176327830030.656750402464325
0.1460.49178660742230.620111581172274
0.1560.65362454612680.574166357904291
0.1660.8019741993460.531234483061372
0.1760.93821286371170.501437639148007
0.1861.06553966580290.490725509823982
0.1961.18808656633330.500396943385009
0.261.31011801076790.528140715040594
0.2161.43545715393720.569971010678749
0.2261.56716682064560.62183855159225
0.2361.70743662681110.680152559114951
0.2461.85759386685940.741874543252809
0.2562.01815960012840.804126635249765
0.2662.18889927807340.863713950373437
0.2762.36885325115220.916919913595568
0.2862.55636262269130.960064354793292
0.2962.74912127900950.989359755287842
0.362.94428305372961.00191301063341
0.3163.13863739473930.995778323869988
0.3263.3288450323330.970815752996002
0.3363.51170539866860.928430518042513
0.3463.68441643898930.871389443087418
0.3563.84478779035110.803484671176127
0.3663.99137884715760.729343217667592
0.3764.12354975593860.653324566923662
0.3864.24143051719830.579563364508494
0.3964.34582650117020.511326596682466
0.464.43808521635590.451356400642232
0.4164.51994890778860.401398954221626
0.4264.59341223054890.362716175421677
0.4364.66059652729490.335888767242485
0.4464.72364476231190.320951586139039
0.4564.78463576524040.317597652043794
0.4664.84551387088440.324914124281384
0.4764.9080300923710.341390786611824
0.4864.97369279828390.365482614874764
0.4965.04372842808840.395020792428491
0.565.11905512178330.428325787757718
0.5165.20027357971630.463258475661827
0.5265.28767964384980.498240947352309
0.5365.3813019218790.531784016800002
0.5465.48096540320940.562886629224054
0.5565.58637875384610.591126983185833
0.5665.697239268160.616693372539958
0.5765.81334583306410.640364037404257
0.5865.93470730267450.663810969450777
0.5966.06163195200410.688967276397925
0.666.19478365619970.718082853863335
0.6166.33519245614540.753462125475237
0.6266.48421134041630.79687345572551
0.6366.64341725421450.849261946122895
0.6466.81446208600140.910519254591792
0.6566.99888787958480.979392645465388
0.6667.19792859893531.05320393134646
0.6767.41232692318241.1285929101577
0.6867.64219706530221.20145200872336
0.6967.88696189470511.26768142097084
0.768.14538368482791.32356315961618
0.7168.41569273026651.36647010517478
0.7268.69579865250461.3952504490854
0.7368.98354903193131.41026038333558
0.7469.2769841186131.41352971677495
0.7569.57453025892691.4081826655309
0.7669.87508261760221.39748105637222
0.7770.17795106869451.38438199476991
0.7870.48267864042591.37034283666722
0.7970.7887816254291.35472193607218
0.871.09549255680881.33542622656
0.8171.40159864226921.30931542530378
0.8271.70544878779341.27353149391572
0.8372.00514985206681.22675290222767
0.8472.29889806714211.16986988160223
0.8572.58532136691291.10601219560454
0.8672.86368269204011.03992704502719
0.8773.13385406445460.975707931304251
0.8873.39613393549880.915198476537349
0.8973.65121008668970.857301287980623
0.973.90075899683550.800107722221548
0.9174.14915841049730.746021941874109
0.9274.40643422885980.708237549794315
0.9374.6918757758820.714492259461559
0.9475.03699058787850.798440185919217
0.9575.48594004759790.974735788307169
0.9676.09064028987691.22139142185996
0.9776.89315554248971.48628699647211
0.9877.87812604332431.72230012529209
0.9978.88567604682981.92988540783052

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 58.7540105597535 & 0.0674577348184931 \tabularnewline
0.02 & 58.8072050432994 & 0.133161974792939 \tabularnewline
0.03 & 58.885399080068 & 0.185883762421407 \tabularnewline
0.04 & 58.9799350255987 & 0.222739239990297 \tabularnewline
0.05 & 59.084059374204 & 0.256119426311638 \tabularnewline
0.06 & 59.1957900839746 & 0.301688365437079 \tabularnewline
0.07 & 59.3173274225214 & 0.367976717306595 \tabularnewline
0.08 & 59.4525194015708 & 0.451078446041243 \tabularnewline
0.09 & 59.6040237876571 & 0.53741195697246 \tabularnewline
0.1 & 59.77138537893 & 0.610456891892581 \tabularnewline
0.11 & 59.9506101866461 & 0.657294494570583 \tabularnewline
0.12 & 60.1351402594739 & 0.672015507137488 \tabularnewline
0.13 & 60.317632783003 & 0.656750402464325 \tabularnewline
0.14 & 60.4917866074223 & 0.620111581172274 \tabularnewline
0.15 & 60.6536245461268 & 0.574166357904291 \tabularnewline
0.16 & 60.801974199346 & 0.531234483061372 \tabularnewline
0.17 & 60.9382128637117 & 0.501437639148007 \tabularnewline
0.18 & 61.0655396658029 & 0.490725509823982 \tabularnewline
0.19 & 61.1880865663333 & 0.500396943385009 \tabularnewline
0.2 & 61.3101180107679 & 0.528140715040594 \tabularnewline
0.21 & 61.4354571539372 & 0.569971010678749 \tabularnewline
0.22 & 61.5671668206456 & 0.62183855159225 \tabularnewline
0.23 & 61.7074366268111 & 0.680152559114951 \tabularnewline
0.24 & 61.8575938668594 & 0.741874543252809 \tabularnewline
0.25 & 62.0181596001284 & 0.804126635249765 \tabularnewline
0.26 & 62.1888992780734 & 0.863713950373437 \tabularnewline
0.27 & 62.3688532511522 & 0.916919913595568 \tabularnewline
0.28 & 62.5563626226913 & 0.960064354793292 \tabularnewline
0.29 & 62.7491212790095 & 0.989359755287842 \tabularnewline
0.3 & 62.9442830537296 & 1.00191301063341 \tabularnewline
0.31 & 63.1386373947393 & 0.995778323869988 \tabularnewline
0.32 & 63.328845032333 & 0.970815752996002 \tabularnewline
0.33 & 63.5117053986686 & 0.928430518042513 \tabularnewline
0.34 & 63.6844164389893 & 0.871389443087418 \tabularnewline
0.35 & 63.8447877903511 & 0.803484671176127 \tabularnewline
0.36 & 63.9913788471576 & 0.729343217667592 \tabularnewline
0.37 & 64.1235497559386 & 0.653324566923662 \tabularnewline
0.38 & 64.2414305171983 & 0.579563364508494 \tabularnewline
0.39 & 64.3458265011702 & 0.511326596682466 \tabularnewline
0.4 & 64.4380852163559 & 0.451356400642232 \tabularnewline
0.41 & 64.5199489077886 & 0.401398954221626 \tabularnewline
0.42 & 64.5934122305489 & 0.362716175421677 \tabularnewline
0.43 & 64.6605965272949 & 0.335888767242485 \tabularnewline
0.44 & 64.7236447623119 & 0.320951586139039 \tabularnewline
0.45 & 64.7846357652404 & 0.317597652043794 \tabularnewline
0.46 & 64.8455138708844 & 0.324914124281384 \tabularnewline
0.47 & 64.908030092371 & 0.341390786611824 \tabularnewline
0.48 & 64.9736927982839 & 0.365482614874764 \tabularnewline
0.49 & 65.0437284280884 & 0.395020792428491 \tabularnewline
0.5 & 65.1190551217833 & 0.428325787757718 \tabularnewline
0.51 & 65.2002735797163 & 0.463258475661827 \tabularnewline
0.52 & 65.2876796438498 & 0.498240947352309 \tabularnewline
0.53 & 65.381301921879 & 0.531784016800002 \tabularnewline
0.54 & 65.4809654032094 & 0.562886629224054 \tabularnewline
0.55 & 65.5863787538461 & 0.591126983185833 \tabularnewline
0.56 & 65.69723926816 & 0.616693372539958 \tabularnewline
0.57 & 65.8133458330641 & 0.640364037404257 \tabularnewline
0.58 & 65.9347073026745 & 0.663810969450777 \tabularnewline
0.59 & 66.0616319520041 & 0.688967276397925 \tabularnewline
0.6 & 66.1947836561997 & 0.718082853863335 \tabularnewline
0.61 & 66.3351924561454 & 0.753462125475237 \tabularnewline
0.62 & 66.4842113404163 & 0.79687345572551 \tabularnewline
0.63 & 66.6434172542145 & 0.849261946122895 \tabularnewline
0.64 & 66.8144620860014 & 0.910519254591792 \tabularnewline
0.65 & 66.9988878795848 & 0.979392645465388 \tabularnewline
0.66 & 67.1979285989353 & 1.05320393134646 \tabularnewline
0.67 & 67.4123269231824 & 1.1285929101577 \tabularnewline
0.68 & 67.6421970653022 & 1.20145200872336 \tabularnewline
0.69 & 67.8869618947051 & 1.26768142097084 \tabularnewline
0.7 & 68.1453836848279 & 1.32356315961618 \tabularnewline
0.71 & 68.4156927302665 & 1.36647010517478 \tabularnewline
0.72 & 68.6957986525046 & 1.3952504490854 \tabularnewline
0.73 & 68.9835490319313 & 1.41026038333558 \tabularnewline
0.74 & 69.276984118613 & 1.41352971677495 \tabularnewline
0.75 & 69.5745302589269 & 1.4081826655309 \tabularnewline
0.76 & 69.8750826176022 & 1.39748105637222 \tabularnewline
0.77 & 70.1779510686945 & 1.38438199476991 \tabularnewline
0.78 & 70.4826786404259 & 1.37034283666722 \tabularnewline
0.79 & 70.788781625429 & 1.35472193607218 \tabularnewline
0.8 & 71.0954925568088 & 1.33542622656 \tabularnewline
0.81 & 71.4015986422692 & 1.30931542530378 \tabularnewline
0.82 & 71.7054487877934 & 1.27353149391572 \tabularnewline
0.83 & 72.0051498520668 & 1.22675290222767 \tabularnewline
0.84 & 72.2988980671421 & 1.16986988160223 \tabularnewline
0.85 & 72.5853213669129 & 1.10601219560454 \tabularnewline
0.86 & 72.8636826920401 & 1.03992704502719 \tabularnewline
0.87 & 73.1338540644546 & 0.975707931304251 \tabularnewline
0.88 & 73.3961339354988 & 0.915198476537349 \tabularnewline
0.89 & 73.6512100866897 & 0.857301287980623 \tabularnewline
0.9 & 73.9007589968355 & 0.800107722221548 \tabularnewline
0.91 & 74.1491584104973 & 0.746021941874109 \tabularnewline
0.92 & 74.4064342288598 & 0.708237549794315 \tabularnewline
0.93 & 74.691875775882 & 0.714492259461559 \tabularnewline
0.94 & 75.0369905878785 & 0.798440185919217 \tabularnewline
0.95 & 75.4859400475979 & 0.974735788307169 \tabularnewline
0.96 & 76.0906402898769 & 1.22139142185996 \tabularnewline
0.97 & 76.8931555424897 & 1.48628699647211 \tabularnewline
0.98 & 77.8781260433243 & 1.72230012529209 \tabularnewline
0.99 & 78.8856760468298 & 1.92988540783052 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=177668&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]58.7540105597535[/C][C]0.0674577348184931[/C][/ROW]
[ROW][C]0.02[/C][C]58.8072050432994[/C][C]0.133161974792939[/C][/ROW]
[ROW][C]0.03[/C][C]58.885399080068[/C][C]0.185883762421407[/C][/ROW]
[ROW][C]0.04[/C][C]58.9799350255987[/C][C]0.222739239990297[/C][/ROW]
[ROW][C]0.05[/C][C]59.084059374204[/C][C]0.256119426311638[/C][/ROW]
[ROW][C]0.06[/C][C]59.1957900839746[/C][C]0.301688365437079[/C][/ROW]
[ROW][C]0.07[/C][C]59.3173274225214[/C][C]0.367976717306595[/C][/ROW]
[ROW][C]0.08[/C][C]59.4525194015708[/C][C]0.451078446041243[/C][/ROW]
[ROW][C]0.09[/C][C]59.6040237876571[/C][C]0.53741195697246[/C][/ROW]
[ROW][C]0.1[/C][C]59.77138537893[/C][C]0.610456891892581[/C][/ROW]
[ROW][C]0.11[/C][C]59.9506101866461[/C][C]0.657294494570583[/C][/ROW]
[ROW][C]0.12[/C][C]60.1351402594739[/C][C]0.672015507137488[/C][/ROW]
[ROW][C]0.13[/C][C]60.317632783003[/C][C]0.656750402464325[/C][/ROW]
[ROW][C]0.14[/C][C]60.4917866074223[/C][C]0.620111581172274[/C][/ROW]
[ROW][C]0.15[/C][C]60.6536245461268[/C][C]0.574166357904291[/C][/ROW]
[ROW][C]0.16[/C][C]60.801974199346[/C][C]0.531234483061372[/C][/ROW]
[ROW][C]0.17[/C][C]60.9382128637117[/C][C]0.501437639148007[/C][/ROW]
[ROW][C]0.18[/C][C]61.0655396658029[/C][C]0.490725509823982[/C][/ROW]
[ROW][C]0.19[/C][C]61.1880865663333[/C][C]0.500396943385009[/C][/ROW]
[ROW][C]0.2[/C][C]61.3101180107679[/C][C]0.528140715040594[/C][/ROW]
[ROW][C]0.21[/C][C]61.4354571539372[/C][C]0.569971010678749[/C][/ROW]
[ROW][C]0.22[/C][C]61.5671668206456[/C][C]0.62183855159225[/C][/ROW]
[ROW][C]0.23[/C][C]61.7074366268111[/C][C]0.680152559114951[/C][/ROW]
[ROW][C]0.24[/C][C]61.8575938668594[/C][C]0.741874543252809[/C][/ROW]
[ROW][C]0.25[/C][C]62.0181596001284[/C][C]0.804126635249765[/C][/ROW]
[ROW][C]0.26[/C][C]62.1888992780734[/C][C]0.863713950373437[/C][/ROW]
[ROW][C]0.27[/C][C]62.3688532511522[/C][C]0.916919913595568[/C][/ROW]
[ROW][C]0.28[/C][C]62.5563626226913[/C][C]0.960064354793292[/C][/ROW]
[ROW][C]0.29[/C][C]62.7491212790095[/C][C]0.989359755287842[/C][/ROW]
[ROW][C]0.3[/C][C]62.9442830537296[/C][C]1.00191301063341[/C][/ROW]
[ROW][C]0.31[/C][C]63.1386373947393[/C][C]0.995778323869988[/C][/ROW]
[ROW][C]0.32[/C][C]63.328845032333[/C][C]0.970815752996002[/C][/ROW]
[ROW][C]0.33[/C][C]63.5117053986686[/C][C]0.928430518042513[/C][/ROW]
[ROW][C]0.34[/C][C]63.6844164389893[/C][C]0.871389443087418[/C][/ROW]
[ROW][C]0.35[/C][C]63.8447877903511[/C][C]0.803484671176127[/C][/ROW]
[ROW][C]0.36[/C][C]63.9913788471576[/C][C]0.729343217667592[/C][/ROW]
[ROW][C]0.37[/C][C]64.1235497559386[/C][C]0.653324566923662[/C][/ROW]
[ROW][C]0.38[/C][C]64.2414305171983[/C][C]0.579563364508494[/C][/ROW]
[ROW][C]0.39[/C][C]64.3458265011702[/C][C]0.511326596682466[/C][/ROW]
[ROW][C]0.4[/C][C]64.4380852163559[/C][C]0.451356400642232[/C][/ROW]
[ROW][C]0.41[/C][C]64.5199489077886[/C][C]0.401398954221626[/C][/ROW]
[ROW][C]0.42[/C][C]64.5934122305489[/C][C]0.362716175421677[/C][/ROW]
[ROW][C]0.43[/C][C]64.6605965272949[/C][C]0.335888767242485[/C][/ROW]
[ROW][C]0.44[/C][C]64.7236447623119[/C][C]0.320951586139039[/C][/ROW]
[ROW][C]0.45[/C][C]64.7846357652404[/C][C]0.317597652043794[/C][/ROW]
[ROW][C]0.46[/C][C]64.8455138708844[/C][C]0.324914124281384[/C][/ROW]
[ROW][C]0.47[/C][C]64.908030092371[/C][C]0.341390786611824[/C][/ROW]
[ROW][C]0.48[/C][C]64.9736927982839[/C][C]0.365482614874764[/C][/ROW]
[ROW][C]0.49[/C][C]65.0437284280884[/C][C]0.395020792428491[/C][/ROW]
[ROW][C]0.5[/C][C]65.1190551217833[/C][C]0.428325787757718[/C][/ROW]
[ROW][C]0.51[/C][C]65.2002735797163[/C][C]0.463258475661827[/C][/ROW]
[ROW][C]0.52[/C][C]65.2876796438498[/C][C]0.498240947352309[/C][/ROW]
[ROW][C]0.53[/C][C]65.381301921879[/C][C]0.531784016800002[/C][/ROW]
[ROW][C]0.54[/C][C]65.4809654032094[/C][C]0.562886629224054[/C][/ROW]
[ROW][C]0.55[/C][C]65.5863787538461[/C][C]0.591126983185833[/C][/ROW]
[ROW][C]0.56[/C][C]65.69723926816[/C][C]0.616693372539958[/C][/ROW]
[ROW][C]0.57[/C][C]65.8133458330641[/C][C]0.640364037404257[/C][/ROW]
[ROW][C]0.58[/C][C]65.9347073026745[/C][C]0.663810969450777[/C][/ROW]
[ROW][C]0.59[/C][C]66.0616319520041[/C][C]0.688967276397925[/C][/ROW]
[ROW][C]0.6[/C][C]66.1947836561997[/C][C]0.718082853863335[/C][/ROW]
[ROW][C]0.61[/C][C]66.3351924561454[/C][C]0.753462125475237[/C][/ROW]
[ROW][C]0.62[/C][C]66.4842113404163[/C][C]0.79687345572551[/C][/ROW]
[ROW][C]0.63[/C][C]66.6434172542145[/C][C]0.849261946122895[/C][/ROW]
[ROW][C]0.64[/C][C]66.8144620860014[/C][C]0.910519254591792[/C][/ROW]
[ROW][C]0.65[/C][C]66.9988878795848[/C][C]0.979392645465388[/C][/ROW]
[ROW][C]0.66[/C][C]67.1979285989353[/C][C]1.05320393134646[/C][/ROW]
[ROW][C]0.67[/C][C]67.4123269231824[/C][C]1.1285929101577[/C][/ROW]
[ROW][C]0.68[/C][C]67.6421970653022[/C][C]1.20145200872336[/C][/ROW]
[ROW][C]0.69[/C][C]67.8869618947051[/C][C]1.26768142097084[/C][/ROW]
[ROW][C]0.7[/C][C]68.1453836848279[/C][C]1.32356315961618[/C][/ROW]
[ROW][C]0.71[/C][C]68.4156927302665[/C][C]1.36647010517478[/C][/ROW]
[ROW][C]0.72[/C][C]68.6957986525046[/C][C]1.3952504490854[/C][/ROW]
[ROW][C]0.73[/C][C]68.9835490319313[/C][C]1.41026038333558[/C][/ROW]
[ROW][C]0.74[/C][C]69.276984118613[/C][C]1.41352971677495[/C][/ROW]
[ROW][C]0.75[/C][C]69.5745302589269[/C][C]1.4081826655309[/C][/ROW]
[ROW][C]0.76[/C][C]69.8750826176022[/C][C]1.39748105637222[/C][/ROW]
[ROW][C]0.77[/C][C]70.1779510686945[/C][C]1.38438199476991[/C][/ROW]
[ROW][C]0.78[/C][C]70.4826786404259[/C][C]1.37034283666722[/C][/ROW]
[ROW][C]0.79[/C][C]70.788781625429[/C][C]1.35472193607218[/C][/ROW]
[ROW][C]0.8[/C][C]71.0954925568088[/C][C]1.33542622656[/C][/ROW]
[ROW][C]0.81[/C][C]71.4015986422692[/C][C]1.30931542530378[/C][/ROW]
[ROW][C]0.82[/C][C]71.7054487877934[/C][C]1.27353149391572[/C][/ROW]
[ROW][C]0.83[/C][C]72.0051498520668[/C][C]1.22675290222767[/C][/ROW]
[ROW][C]0.84[/C][C]72.2988980671421[/C][C]1.16986988160223[/C][/ROW]
[ROW][C]0.85[/C][C]72.5853213669129[/C][C]1.10601219560454[/C][/ROW]
[ROW][C]0.86[/C][C]72.8636826920401[/C][C]1.03992704502719[/C][/ROW]
[ROW][C]0.87[/C][C]73.1338540644546[/C][C]0.975707931304251[/C][/ROW]
[ROW][C]0.88[/C][C]73.3961339354988[/C][C]0.915198476537349[/C][/ROW]
[ROW][C]0.89[/C][C]73.6512100866897[/C][C]0.857301287980623[/C][/ROW]
[ROW][C]0.9[/C][C]73.9007589968355[/C][C]0.800107722221548[/C][/ROW]
[ROW][C]0.91[/C][C]74.1491584104973[/C][C]0.746021941874109[/C][/ROW]
[ROW][C]0.92[/C][C]74.4064342288598[/C][C]0.708237549794315[/C][/ROW]
[ROW][C]0.93[/C][C]74.691875775882[/C][C]0.714492259461559[/C][/ROW]
[ROW][C]0.94[/C][C]75.0369905878785[/C][C]0.798440185919217[/C][/ROW]
[ROW][C]0.95[/C][C]75.4859400475979[/C][C]0.974735788307169[/C][/ROW]
[ROW][C]0.96[/C][C]76.0906402898769[/C][C]1.22139142185996[/C][/ROW]
[ROW][C]0.97[/C][C]76.8931555424897[/C][C]1.48628699647211[/C][/ROW]
[ROW][C]0.98[/C][C]77.8781260433243[/C][C]1.72230012529209[/C][/ROW]
[ROW][C]0.99[/C][C]78.8856760468298[/C][C]1.92988540783052[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=177668&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=177668&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
0.0158.75401055975350.0674577348184931
0.0258.80720504329940.133161974792939
0.0358.8853990800680.185883762421407
0.0458.97993502559870.222739239990297
0.0559.0840593742040.256119426311638
0.0659.19579008397460.301688365437079
0.0759.31732742252140.367976717306595
0.0859.45251940157080.451078446041243
0.0959.60402378765710.53741195697246
0.159.771385378930.610456891892581
0.1159.95061018664610.657294494570583
0.1260.13514025947390.672015507137488
0.1360.3176327830030.656750402464325
0.1460.49178660742230.620111581172274
0.1560.65362454612680.574166357904291
0.1660.8019741993460.531234483061372
0.1760.93821286371170.501437639148007
0.1861.06553966580290.490725509823982
0.1961.18808656633330.500396943385009
0.261.31011801076790.528140715040594
0.2161.43545715393720.569971010678749
0.2261.56716682064560.62183855159225
0.2361.70743662681110.680152559114951
0.2461.85759386685940.741874543252809
0.2562.01815960012840.804126635249765
0.2662.18889927807340.863713950373437
0.2762.36885325115220.916919913595568
0.2862.55636262269130.960064354793292
0.2962.74912127900950.989359755287842
0.362.94428305372961.00191301063341
0.3163.13863739473930.995778323869988
0.3263.3288450323330.970815752996002
0.3363.51170539866860.928430518042513
0.3463.68441643898930.871389443087418
0.3563.84478779035110.803484671176127
0.3663.99137884715760.729343217667592
0.3764.12354975593860.653324566923662
0.3864.24143051719830.579563364508494
0.3964.34582650117020.511326596682466
0.464.43808521635590.451356400642232
0.4164.51994890778860.401398954221626
0.4264.59341223054890.362716175421677
0.4364.66059652729490.335888767242485
0.4464.72364476231190.320951586139039
0.4564.78463576524040.317597652043794
0.4664.84551387088440.324914124281384
0.4764.9080300923710.341390786611824
0.4864.97369279828390.365482614874764
0.4965.04372842808840.395020792428491
0.565.11905512178330.428325787757718
0.5165.20027357971630.463258475661827
0.5265.28767964384980.498240947352309
0.5365.3813019218790.531784016800002
0.5465.48096540320940.562886629224054
0.5565.58637875384610.591126983185833
0.5665.697239268160.616693372539958
0.5765.81334583306410.640364037404257
0.5865.93470730267450.663810969450777
0.5966.06163195200410.688967276397925
0.666.19478365619970.718082853863335
0.6166.33519245614540.753462125475237
0.6266.48421134041630.79687345572551
0.6366.64341725421450.849261946122895
0.6466.81446208600140.910519254591792
0.6566.99888787958480.979392645465388
0.6667.19792859893531.05320393134646
0.6767.41232692318241.1285929101577
0.6867.64219706530221.20145200872336
0.6967.88696189470511.26768142097084
0.768.14538368482791.32356315961618
0.7168.41569273026651.36647010517478
0.7268.69579865250461.3952504490854
0.7368.98354903193131.41026038333558
0.7469.2769841186131.41352971677495
0.7569.57453025892691.4081826655309
0.7669.87508261760221.39748105637222
0.7770.17795106869451.38438199476991
0.7870.48267864042591.37034283666722
0.7970.7887816254291.35472193607218
0.871.09549255680881.33542622656
0.8171.40159864226921.30931542530378
0.8271.70544878779341.27353149391572
0.8372.00514985206681.22675290222767
0.8472.29889806714211.16986988160223
0.8572.58532136691291.10601219560454
0.8672.86368269204011.03992704502719
0.8773.13385406445460.975707931304251
0.8873.39613393549880.915198476537349
0.8973.65121008668970.857301287980623
0.973.90075899683550.800107722221548
0.9174.14915841049730.746021941874109
0.9274.40643422885980.708237549794315
0.9374.6918757758820.714492259461559
0.9475.03699058787850.798440185919217
0.9575.48594004759790.974735788307169
0.9676.09064028987691.22139142185996
0.9776.89315554248971.48628699647211
0.9877.87812604332431.72230012529209
0.9978.88567604682981.92988540783052


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')