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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 computationTue, 12 Nov 2013 07:53:28 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Nov/12/t1384260899aoswbc8lg4ycu7f.htm/, Retrieved Sun, 15 Feb 2026 09:55:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=224337, Retrieved Sun, 15 Feb 2026 09:55:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact292

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] [] [2013-11-12 12:53:28] [5e7911d8fd88d8bc3975d02d8918deef] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
51.02
51.06
50.9
51.23
51.29
51.3
51.3
51.3
51.46
51.47
51.77
51.82
51.82
51.84
51.9
51.94
52.22
52.27
52.27
52.28
52.53
52.73
52.72
52.67
52.67
52.65
52.69
52.73
52.84
52.83
52.83
52.84
52.82
53.09
53.4
53.43
53.43
53.42
53.6
53.69
54.05
54.04
54.04
54.08
54.05
54.39
54.38
54.46
54.46
54.69
54.91
55.52
56.01
56.07
56.07
56.09
56.29
56.45
56.87
56.87
56.87
56.87
56.8
56.89
57.01
57.03
57.03
57.03
57.06
57.25
57.24
57.31

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=224337&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=224337&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=224337&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
0.0150.93790860701110.107066030767695
0.0250.9962866013190.10447284373958
0.0351.0593998960220.112760863439296
0.0451.11961121929760.11801322713775
0.0551.17433705681060.114388439418048
0.0651.22302788327910.106957210031252
0.0751.2666454730880.104764324466813
0.0851.30752063163520.11373638262454
0.0951.34860494333370.133185189877343
0.151.39247045149840.15825581073799
0.1151.44060632606030.183579305823748
0.1251.4932323362980.205030792244308
0.1351.54954815119890.220377549226143
0.1451.6082094399050.229167239419658
0.1551.66782261684850.2328057285445
0.1651.72731284032290.233716313643115
0.1751.78609983274740.234352386924378
0.1851.84408755988640.236655678534698
0.1951.9015222868420.24147773355034
0.251.95879328458570.248344871233283
0.2152.01624416831270.256159133601757
0.2252.07403970754180.263522497707278
0.2352.13210473758060.268990851807933
0.2452.19012851424210.27183789594812
0.2552.2476148075550.271282014946073
0.2652.30395539677050.267032299039561
0.2752.3585090090080.259340793222269
0.2852.41067462674790.24840085709451
0.2952.45995394976860.234851723990557
0.352.50600108838830.219548418313486
0.3152.54865855407140.203446178863169
0.3252.5879785124210.187743108076766
0.3352.6242282692130.173668311619276
0.3452.65787966013890.162408134359856
0.3552.68958330563820.155148487077725
0.3652.72013007557870.152696543020421
0.3752.75040310045090.155590821599562
0.3852.7813240743630.16389604089476
0.3952.81379755958180.177230026577177
0.452.84865682863380.194964353347361
0.4152.88661470550860.216167347687424
0.4252.92822289681340.239580476555189
0.4352.97384319957430.264025961636209
0.4453.0236333978860.288415828693416
0.4553.07754939230670.311546746008854
0.4653.13536320587260.332476732647335
0.4753.19669436790680.350556264379989
0.4853.26105038994540.365336349008203
0.4953.32787119462410.376706480489722
0.553.39657274987720.384672461266844
0.5153.46658669160890.389515561983014
0.5253.53739487657620.391643143314337
0.5353.60855984969190.391389599830658
0.5453.67975342528090.389443951526521
0.5553.7507855395270.386390267667253
0.5653.82163421419310.383275120544638
0.5753.89247525044790.381062534245882
0.5853.96370775219450.381224411602221
0.5954.03596940579590.385184156386107
0.654.11013415583690.394270652116332
0.6154.18728490066430.409829007054374
0.6254.26865535540440.432677177740209
0.6354.35553847916270.462784640830264
0.6454.44916388231730.499541698496006
0.6554.55055314104730.541265952548332
0.6654.66036910270450.585469991597523
0.6754.77878150512250.628987653345645
0.6854.90537441809390.66825722255349
0.6955.03911897247650.699791632602547
0.755.17842623296860.720652985470132
0.7155.32128031365110.728933079025475
0.7255.46543365612150.723987597446579
0.7355.60862958482410.706555411316523
0.7455.7488074943620.678596158696044
0.7555.88424791098510.642945894513694
0.7656.01362966834830.602403404033234
0.7756.13599653879630.559445443450831
0.7856.25065856034380.515446231820588
0.7956.35707436743370.47097399174359
0.856.45476647846910.425785435480264
0.8156.54330779223790.379585172716031
0.8256.62238768199460.332496887071359
0.8356.69193032125950.285434359959585
0.8456.75221063608650.24016828611203
0.8556.80390784609080.198780705119433
0.8656.84805922389850.163229057305569
0.8756.8859224374210.134579428642524
0.8856.91880645273040.112655413983552
0.8956.9479627763690.0962320713439336
0.956.97461462221850.0838138605035249
0.9157.00012660779920.0750225365820281
0.9257.02619438943770.0711773274642272
0.9357.0548210850860.0743384074643127
0.9457.08785862942060.0838826357105032
0.9557.12614693895140.0943840467613218
0.9657.16873762921150.0975716242165332
0.9757.2128900784560.0878378566579126
0.9857.25476443056370.0693563021833644
0.9957.289408250180.0576988341264232

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 50.9379086070111 & 0.107066030767695 \tabularnewline
0.02 & 50.996286601319 & 0.10447284373958 \tabularnewline
0.03 & 51.059399896022 & 0.112760863439296 \tabularnewline
0.04 & 51.1196112192976 & 0.11801322713775 \tabularnewline
0.05 & 51.1743370568106 & 0.114388439418048 \tabularnewline
0.06 & 51.2230278832791 & 0.106957210031252 \tabularnewline
0.07 & 51.266645473088 & 0.104764324466813 \tabularnewline
0.08 & 51.3075206316352 & 0.11373638262454 \tabularnewline
0.09 & 51.3486049433337 & 0.133185189877343 \tabularnewline
0.1 & 51.3924704514984 & 0.15825581073799 \tabularnewline
0.11 & 51.4406063260603 & 0.183579305823748 \tabularnewline
0.12 & 51.493232336298 & 0.205030792244308 \tabularnewline
0.13 & 51.5495481511989 & 0.220377549226143 \tabularnewline
0.14 & 51.608209439905 & 0.229167239419658 \tabularnewline
0.15 & 51.6678226168485 & 0.2328057285445 \tabularnewline
0.16 & 51.7273128403229 & 0.233716313643115 \tabularnewline
0.17 & 51.7860998327474 & 0.234352386924378 \tabularnewline
0.18 & 51.8440875598864 & 0.236655678534698 \tabularnewline
0.19 & 51.901522286842 & 0.24147773355034 \tabularnewline
0.2 & 51.9587932845857 & 0.248344871233283 \tabularnewline
0.21 & 52.0162441683127 & 0.256159133601757 \tabularnewline
0.22 & 52.0740397075418 & 0.263522497707278 \tabularnewline
0.23 & 52.1321047375806 & 0.268990851807933 \tabularnewline
0.24 & 52.1901285142421 & 0.27183789594812 \tabularnewline
0.25 & 52.247614807555 & 0.271282014946073 \tabularnewline
0.26 & 52.3039553967705 & 0.267032299039561 \tabularnewline
0.27 & 52.358509009008 & 0.259340793222269 \tabularnewline
0.28 & 52.4106746267479 & 0.24840085709451 \tabularnewline
0.29 & 52.4599539497686 & 0.234851723990557 \tabularnewline
0.3 & 52.5060010883883 & 0.219548418313486 \tabularnewline
0.31 & 52.5486585540714 & 0.203446178863169 \tabularnewline
0.32 & 52.587978512421 & 0.187743108076766 \tabularnewline
0.33 & 52.624228269213 & 0.173668311619276 \tabularnewline
0.34 & 52.6578796601389 & 0.162408134359856 \tabularnewline
0.35 & 52.6895833056382 & 0.155148487077725 \tabularnewline
0.36 & 52.7201300755787 & 0.152696543020421 \tabularnewline
0.37 & 52.7504031004509 & 0.155590821599562 \tabularnewline
0.38 & 52.781324074363 & 0.16389604089476 \tabularnewline
0.39 & 52.8137975595818 & 0.177230026577177 \tabularnewline
0.4 & 52.8486568286338 & 0.194964353347361 \tabularnewline
0.41 & 52.8866147055086 & 0.216167347687424 \tabularnewline
0.42 & 52.9282228968134 & 0.239580476555189 \tabularnewline
0.43 & 52.9738431995743 & 0.264025961636209 \tabularnewline
0.44 & 53.023633397886 & 0.288415828693416 \tabularnewline
0.45 & 53.0775493923067 & 0.311546746008854 \tabularnewline
0.46 & 53.1353632058726 & 0.332476732647335 \tabularnewline
0.47 & 53.1966943679068 & 0.350556264379989 \tabularnewline
0.48 & 53.2610503899454 & 0.365336349008203 \tabularnewline
0.49 & 53.3278711946241 & 0.376706480489722 \tabularnewline
0.5 & 53.3965727498772 & 0.384672461266844 \tabularnewline
0.51 & 53.4665866916089 & 0.389515561983014 \tabularnewline
0.52 & 53.5373948765762 & 0.391643143314337 \tabularnewline
0.53 & 53.6085598496919 & 0.391389599830658 \tabularnewline
0.54 & 53.6797534252809 & 0.389443951526521 \tabularnewline
0.55 & 53.750785539527 & 0.386390267667253 \tabularnewline
0.56 & 53.8216342141931 & 0.383275120544638 \tabularnewline
0.57 & 53.8924752504479 & 0.381062534245882 \tabularnewline
0.58 & 53.9637077521945 & 0.381224411602221 \tabularnewline
0.59 & 54.0359694057959 & 0.385184156386107 \tabularnewline
0.6 & 54.1101341558369 & 0.394270652116332 \tabularnewline
0.61 & 54.1872849006643 & 0.409829007054374 \tabularnewline
0.62 & 54.2686553554044 & 0.432677177740209 \tabularnewline
0.63 & 54.3555384791627 & 0.462784640830264 \tabularnewline
0.64 & 54.4491638823173 & 0.499541698496006 \tabularnewline
0.65 & 54.5505531410473 & 0.541265952548332 \tabularnewline
0.66 & 54.6603691027045 & 0.585469991597523 \tabularnewline
0.67 & 54.7787815051225 & 0.628987653345645 \tabularnewline
0.68 & 54.9053744180939 & 0.66825722255349 \tabularnewline
0.69 & 55.0391189724765 & 0.699791632602547 \tabularnewline
0.7 & 55.1784262329686 & 0.720652985470132 \tabularnewline
0.71 & 55.3212803136511 & 0.728933079025475 \tabularnewline
0.72 & 55.4654336561215 & 0.723987597446579 \tabularnewline
0.73 & 55.6086295848241 & 0.706555411316523 \tabularnewline
0.74 & 55.748807494362 & 0.678596158696044 \tabularnewline
0.75 & 55.8842479109851 & 0.642945894513694 \tabularnewline
0.76 & 56.0136296683483 & 0.602403404033234 \tabularnewline
0.77 & 56.1359965387963 & 0.559445443450831 \tabularnewline
0.78 & 56.2506585603438 & 0.515446231820588 \tabularnewline
0.79 & 56.3570743674337 & 0.47097399174359 \tabularnewline
0.8 & 56.4547664784691 & 0.425785435480264 \tabularnewline
0.81 & 56.5433077922379 & 0.379585172716031 \tabularnewline
0.82 & 56.6223876819946 & 0.332496887071359 \tabularnewline
0.83 & 56.6919303212595 & 0.285434359959585 \tabularnewline
0.84 & 56.7522106360865 & 0.24016828611203 \tabularnewline
0.85 & 56.8039078460908 & 0.198780705119433 \tabularnewline
0.86 & 56.8480592238985 & 0.163229057305569 \tabularnewline
0.87 & 56.885922437421 & 0.134579428642524 \tabularnewline
0.88 & 56.9188064527304 & 0.112655413983552 \tabularnewline
0.89 & 56.947962776369 & 0.0962320713439336 \tabularnewline
0.9 & 56.9746146222185 & 0.0838138605035249 \tabularnewline
0.91 & 57.0001266077992 & 0.0750225365820281 \tabularnewline
0.92 & 57.0261943894377 & 0.0711773274642272 \tabularnewline
0.93 & 57.054821085086 & 0.0743384074643127 \tabularnewline
0.94 & 57.0878586294206 & 0.0838826357105032 \tabularnewline
0.95 & 57.1261469389514 & 0.0943840467613218 \tabularnewline
0.96 & 57.1687376292115 & 0.0975716242165332 \tabularnewline
0.97 & 57.212890078456 & 0.0878378566579126 \tabularnewline
0.98 & 57.2547644305637 & 0.0693563021833644 \tabularnewline
0.99 & 57.28940825018 & 0.0576988341264232 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=224337&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]50.9379086070111[/C][C]0.107066030767695[/C][/ROW]
[ROW][C]0.02[/C][C]50.996286601319[/C][C]0.10447284373958[/C][/ROW]
[ROW][C]0.03[/C][C]51.059399896022[/C][C]0.112760863439296[/C][/ROW]
[ROW][C]0.04[/C][C]51.1196112192976[/C][C]0.11801322713775[/C][/ROW]
[ROW][C]0.05[/C][C]51.1743370568106[/C][C]0.114388439418048[/C][/ROW]
[ROW][C]0.06[/C][C]51.2230278832791[/C][C]0.106957210031252[/C][/ROW]
[ROW][C]0.07[/C][C]51.266645473088[/C][C]0.104764324466813[/C][/ROW]
[ROW][C]0.08[/C][C]51.3075206316352[/C][C]0.11373638262454[/C][/ROW]
[ROW][C]0.09[/C][C]51.3486049433337[/C][C]0.133185189877343[/C][/ROW]
[ROW][C]0.1[/C][C]51.3924704514984[/C][C]0.15825581073799[/C][/ROW]
[ROW][C]0.11[/C][C]51.4406063260603[/C][C]0.183579305823748[/C][/ROW]
[ROW][C]0.12[/C][C]51.493232336298[/C][C]0.205030792244308[/C][/ROW]
[ROW][C]0.13[/C][C]51.5495481511989[/C][C]0.220377549226143[/C][/ROW]
[ROW][C]0.14[/C][C]51.608209439905[/C][C]0.229167239419658[/C][/ROW]
[ROW][C]0.15[/C][C]51.6678226168485[/C][C]0.2328057285445[/C][/ROW]
[ROW][C]0.16[/C][C]51.7273128403229[/C][C]0.233716313643115[/C][/ROW]
[ROW][C]0.17[/C][C]51.7860998327474[/C][C]0.234352386924378[/C][/ROW]
[ROW][C]0.18[/C][C]51.8440875598864[/C][C]0.236655678534698[/C][/ROW]
[ROW][C]0.19[/C][C]51.901522286842[/C][C]0.24147773355034[/C][/ROW]
[ROW][C]0.2[/C][C]51.9587932845857[/C][C]0.248344871233283[/C][/ROW]
[ROW][C]0.21[/C][C]52.0162441683127[/C][C]0.256159133601757[/C][/ROW]
[ROW][C]0.22[/C][C]52.0740397075418[/C][C]0.263522497707278[/C][/ROW]
[ROW][C]0.23[/C][C]52.1321047375806[/C][C]0.268990851807933[/C][/ROW]
[ROW][C]0.24[/C][C]52.1901285142421[/C][C]0.27183789594812[/C][/ROW]
[ROW][C]0.25[/C][C]52.247614807555[/C][C]0.271282014946073[/C][/ROW]
[ROW][C]0.26[/C][C]52.3039553967705[/C][C]0.267032299039561[/C][/ROW]
[ROW][C]0.27[/C][C]52.358509009008[/C][C]0.259340793222269[/C][/ROW]
[ROW][C]0.28[/C][C]52.4106746267479[/C][C]0.24840085709451[/C][/ROW]
[ROW][C]0.29[/C][C]52.4599539497686[/C][C]0.234851723990557[/C][/ROW]
[ROW][C]0.3[/C][C]52.5060010883883[/C][C]0.219548418313486[/C][/ROW]
[ROW][C]0.31[/C][C]52.5486585540714[/C][C]0.203446178863169[/C][/ROW]
[ROW][C]0.32[/C][C]52.587978512421[/C][C]0.187743108076766[/C][/ROW]
[ROW][C]0.33[/C][C]52.624228269213[/C][C]0.173668311619276[/C][/ROW]
[ROW][C]0.34[/C][C]52.6578796601389[/C][C]0.162408134359856[/C][/ROW]
[ROW][C]0.35[/C][C]52.6895833056382[/C][C]0.155148487077725[/C][/ROW]
[ROW][C]0.36[/C][C]52.7201300755787[/C][C]0.152696543020421[/C][/ROW]
[ROW][C]0.37[/C][C]52.7504031004509[/C][C]0.155590821599562[/C][/ROW]
[ROW][C]0.38[/C][C]52.781324074363[/C][C]0.16389604089476[/C][/ROW]
[ROW][C]0.39[/C][C]52.8137975595818[/C][C]0.177230026577177[/C][/ROW]
[ROW][C]0.4[/C][C]52.8486568286338[/C][C]0.194964353347361[/C][/ROW]
[ROW][C]0.41[/C][C]52.8866147055086[/C][C]0.216167347687424[/C][/ROW]
[ROW][C]0.42[/C][C]52.9282228968134[/C][C]0.239580476555189[/C][/ROW]
[ROW][C]0.43[/C][C]52.9738431995743[/C][C]0.264025961636209[/C][/ROW]
[ROW][C]0.44[/C][C]53.023633397886[/C][C]0.288415828693416[/C][/ROW]
[ROW][C]0.45[/C][C]53.0775493923067[/C][C]0.311546746008854[/C][/ROW]
[ROW][C]0.46[/C][C]53.1353632058726[/C][C]0.332476732647335[/C][/ROW]
[ROW][C]0.47[/C][C]53.1966943679068[/C][C]0.350556264379989[/C][/ROW]
[ROW][C]0.48[/C][C]53.2610503899454[/C][C]0.365336349008203[/C][/ROW]
[ROW][C]0.49[/C][C]53.3278711946241[/C][C]0.376706480489722[/C][/ROW]
[ROW][C]0.5[/C][C]53.3965727498772[/C][C]0.384672461266844[/C][/ROW]
[ROW][C]0.51[/C][C]53.4665866916089[/C][C]0.389515561983014[/C][/ROW]
[ROW][C]0.52[/C][C]53.5373948765762[/C][C]0.391643143314337[/C][/ROW]
[ROW][C]0.53[/C][C]53.6085598496919[/C][C]0.391389599830658[/C][/ROW]
[ROW][C]0.54[/C][C]53.6797534252809[/C][C]0.389443951526521[/C][/ROW]
[ROW][C]0.55[/C][C]53.750785539527[/C][C]0.386390267667253[/C][/ROW]
[ROW][C]0.56[/C][C]53.8216342141931[/C][C]0.383275120544638[/C][/ROW]
[ROW][C]0.57[/C][C]53.8924752504479[/C][C]0.381062534245882[/C][/ROW]
[ROW][C]0.58[/C][C]53.9637077521945[/C][C]0.381224411602221[/C][/ROW]
[ROW][C]0.59[/C][C]54.0359694057959[/C][C]0.385184156386107[/C][/ROW]
[ROW][C]0.6[/C][C]54.1101341558369[/C][C]0.394270652116332[/C][/ROW]
[ROW][C]0.61[/C][C]54.1872849006643[/C][C]0.409829007054374[/C][/ROW]
[ROW][C]0.62[/C][C]54.2686553554044[/C][C]0.432677177740209[/C][/ROW]
[ROW][C]0.63[/C][C]54.3555384791627[/C][C]0.462784640830264[/C][/ROW]
[ROW][C]0.64[/C][C]54.4491638823173[/C][C]0.499541698496006[/C][/ROW]
[ROW][C]0.65[/C][C]54.5505531410473[/C][C]0.541265952548332[/C][/ROW]
[ROW][C]0.66[/C][C]54.6603691027045[/C][C]0.585469991597523[/C][/ROW]
[ROW][C]0.67[/C][C]54.7787815051225[/C][C]0.628987653345645[/C][/ROW]
[ROW][C]0.68[/C][C]54.9053744180939[/C][C]0.66825722255349[/C][/ROW]
[ROW][C]0.69[/C][C]55.0391189724765[/C][C]0.699791632602547[/C][/ROW]
[ROW][C]0.7[/C][C]55.1784262329686[/C][C]0.720652985470132[/C][/ROW]
[ROW][C]0.71[/C][C]55.3212803136511[/C][C]0.728933079025475[/C][/ROW]
[ROW][C]0.72[/C][C]55.4654336561215[/C][C]0.723987597446579[/C][/ROW]
[ROW][C]0.73[/C][C]55.6086295848241[/C][C]0.706555411316523[/C][/ROW]
[ROW][C]0.74[/C][C]55.748807494362[/C][C]0.678596158696044[/C][/ROW]
[ROW][C]0.75[/C][C]55.8842479109851[/C][C]0.642945894513694[/C][/ROW]
[ROW][C]0.76[/C][C]56.0136296683483[/C][C]0.602403404033234[/C][/ROW]
[ROW][C]0.77[/C][C]56.1359965387963[/C][C]0.559445443450831[/C][/ROW]
[ROW][C]0.78[/C][C]56.2506585603438[/C][C]0.515446231820588[/C][/ROW]
[ROW][C]0.79[/C][C]56.3570743674337[/C][C]0.47097399174359[/C][/ROW]
[ROW][C]0.8[/C][C]56.4547664784691[/C][C]0.425785435480264[/C][/ROW]
[ROW][C]0.81[/C][C]56.5433077922379[/C][C]0.379585172716031[/C][/ROW]
[ROW][C]0.82[/C][C]56.6223876819946[/C][C]0.332496887071359[/C][/ROW]
[ROW][C]0.83[/C][C]56.6919303212595[/C][C]0.285434359959585[/C][/ROW]
[ROW][C]0.84[/C][C]56.7522106360865[/C][C]0.24016828611203[/C][/ROW]
[ROW][C]0.85[/C][C]56.8039078460908[/C][C]0.198780705119433[/C][/ROW]
[ROW][C]0.86[/C][C]56.8480592238985[/C][C]0.163229057305569[/C][/ROW]
[ROW][C]0.87[/C][C]56.885922437421[/C][C]0.134579428642524[/C][/ROW]
[ROW][C]0.88[/C][C]56.9188064527304[/C][C]0.112655413983552[/C][/ROW]
[ROW][C]0.89[/C][C]56.947962776369[/C][C]0.0962320713439336[/C][/ROW]
[ROW][C]0.9[/C][C]56.9746146222185[/C][C]0.0838138605035249[/C][/ROW]
[ROW][C]0.91[/C][C]57.0001266077992[/C][C]0.0750225365820281[/C][/ROW]
[ROW][C]0.92[/C][C]57.0261943894377[/C][C]0.0711773274642272[/C][/ROW]
[ROW][C]0.93[/C][C]57.054821085086[/C][C]0.0743384074643127[/C][/ROW]
[ROW][C]0.94[/C][C]57.0878586294206[/C][C]0.0838826357105032[/C][/ROW]
[ROW][C]0.95[/C][C]57.1261469389514[/C][C]0.0943840467613218[/C][/ROW]
[ROW][C]0.96[/C][C]57.1687376292115[/C][C]0.0975716242165332[/C][/ROW]
[ROW][C]0.97[/C][C]57.212890078456[/C][C]0.0878378566579126[/C][/ROW]
[ROW][C]0.98[/C][C]57.2547644305637[/C][C]0.0693563021833644[/C][/ROW]
[ROW][C]0.99[/C][C]57.28940825018[/C][C]0.0576988341264232[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=224337&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=224337&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
0.0150.93790860701110.107066030767695
0.0250.9962866013190.10447284373958
0.0351.0593998960220.112760863439296
0.0451.11961121929760.11801322713775
0.0551.17433705681060.114388439418048
0.0651.22302788327910.106957210031252
0.0751.2666454730880.104764324466813
0.0851.30752063163520.11373638262454
0.0951.34860494333370.133185189877343
0.151.39247045149840.15825581073799
0.1151.44060632606030.183579305823748
0.1251.4932323362980.205030792244308
0.1351.54954815119890.220377549226143
0.1451.6082094399050.229167239419658
0.1551.66782261684850.2328057285445
0.1651.72731284032290.233716313643115
0.1751.78609983274740.234352386924378
0.1851.84408755988640.236655678534698
0.1951.9015222868420.24147773355034
0.251.95879328458570.248344871233283
0.2152.01624416831270.256159133601757
0.2252.07403970754180.263522497707278
0.2352.13210473758060.268990851807933
0.2452.19012851424210.27183789594812
0.2552.2476148075550.271282014946073
0.2652.30395539677050.267032299039561
0.2752.3585090090080.259340793222269
0.2852.41067462674790.24840085709451
0.2952.45995394976860.234851723990557
0.352.50600108838830.219548418313486
0.3152.54865855407140.203446178863169
0.3252.5879785124210.187743108076766
0.3352.6242282692130.173668311619276
0.3452.65787966013890.162408134359856
0.3552.68958330563820.155148487077725
0.3652.72013007557870.152696543020421
0.3752.75040310045090.155590821599562
0.3852.7813240743630.16389604089476
0.3952.81379755958180.177230026577177
0.452.84865682863380.194964353347361
0.4152.88661470550860.216167347687424
0.4252.92822289681340.239580476555189
0.4352.97384319957430.264025961636209
0.4453.0236333978860.288415828693416
0.4553.07754939230670.311546746008854
0.4653.13536320587260.332476732647335
0.4753.19669436790680.350556264379989
0.4853.26105038994540.365336349008203
0.4953.32787119462410.376706480489722
0.553.39657274987720.384672461266844
0.5153.46658669160890.389515561983014
0.5253.53739487657620.391643143314337
0.5353.60855984969190.391389599830658
0.5453.67975342528090.389443951526521
0.5553.7507855395270.386390267667253
0.5653.82163421419310.383275120544638
0.5753.89247525044790.381062534245882
0.5853.96370775219450.381224411602221
0.5954.03596940579590.385184156386107
0.654.11013415583690.394270652116332
0.6154.18728490066430.409829007054374
0.6254.26865535540440.432677177740209
0.6354.35553847916270.462784640830264
0.6454.44916388231730.499541698496006
0.6554.55055314104730.541265952548332
0.6654.66036910270450.585469991597523
0.6754.77878150512250.628987653345645
0.6854.90537441809390.66825722255349
0.6955.03911897247650.699791632602547
0.755.17842623296860.720652985470132
0.7155.32128031365110.728933079025475
0.7255.46543365612150.723987597446579
0.7355.60862958482410.706555411316523
0.7455.7488074943620.678596158696044
0.7555.88424791098510.642945894513694
0.7656.01362966834830.602403404033234
0.7756.13599653879630.559445443450831
0.7856.25065856034380.515446231820588
0.7956.35707436743370.47097399174359
0.856.45476647846910.425785435480264
0.8156.54330779223790.379585172716031
0.8256.62238768199460.332496887071359
0.8356.69193032125950.285434359959585
0.8456.75221063608650.24016828611203
0.8556.80390784609080.198780705119433
0.8656.84805922389850.163229057305569
0.8756.8859224374210.134579428642524
0.8856.91880645273040.112655413983552
0.8956.9479627763690.0962320713439336
0.956.97461462221850.0838138605035249
0.9157.00012660779920.0750225365820281
0.9257.02619438943770.0711773274642272
0.9357.0548210850860.0743384074643127
0.9457.08785862942060.0838826357105032
0.9557.12614693895140.0943840467613218
0.9657.16873762921150.0975716242165332
0.9757.2128900784560.0878378566579126
0.9857.25476443056370.0693563021833644
0.9957.289408250180.0576988341264232


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):
par3 <- '0.1'
par2 <- '0.99'
par1 <- '0.1'
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')