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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 computationThu, 03 Oct 2013 16:54:46 -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/2013/Oct/03/t1380833779xhysdz8njvwtr0d.htm/, Retrieved Mon, 18 May 2026 10:43:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213031, Retrieved Mon, 18 May 2026 10:43:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact319

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] [] [2013-10-03 20:54:46] [72063bd14069f8db0ee4c827c297f3d1] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9.84
9.87
9.9
9.9
9.87
9.87
9.88
9.76
9.76
9.76
9.77
9.77
9.77
9.83
9.85
9.85
9.89
9.9
9.92
9.91
9.92
9.92
9.96
9.97
9.98
10.06
10.07
10.12
10.1
10.1
10.1
10.19
10.21
10.2
10.39
10.39
10.39
10.45
10.49
10.48
10.49
10.49
10.5
10.51
10.51
10.53
10.54
10.54
10.55
10.58
10.59
10.56
10.57
10.59
10.63
10.63
10.66
10.69
10.72
10.72
10.73
10.75
10.78
10.79
10.83
10.83
10.85
10.88
10.97
10.98
11
11.04
11.08
11.16
11.19
11.2
11.22
11.26
11.29
11.31
11.39
11.37
11.39
11.39

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'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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213031&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213031&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213031&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.019.7604289593650.0013928661455751
0.029.76197065089560.0046280225712906
0.039.765284838318640.00961059050573497
0.049.770829490028370.0161781274345719
0.059.778789977407960.0235289448818538
0.069.788974451511340.0300385294693815
0.079.800757169336930.0340950694640516
0.089.813207237691290.0350295830456967
0.099.825371722465930.0333235338723426
0.19.836546398361840.0301337286691641
0.119.846399309268730.026682261932921
0.129.854933042729640.0237893566542928
0.139.862358767351860.0218010193065825
0.149.868965986067940.0206871055482211
0.159.875035966166030.020282739244373
0.169.880806829399480.0204511199852608
0.179.886475846742420.0211546309042489
0.189.892219424042140.0224728171474214
0.199.898215168778110.0245499882863018
0.29.904656449098180.0275657930736351
0.219.911755132033560.031653866440579
0.229.919732300178370.0368329780809801
0.239.928799882510250.0429900640637082
0.249.939138288265270.0499054469334927
0.259.950876093731450.0572582282556459
0.269.964077415732190.0647256454794926
0.279.978740827297060.071966169698101
0.289.994810830381690.0787940848349321
0.2910.01219959355730.08512385719985
0.310.03081370226750.0910660806851915
0.3110.05057889763350.0967920174509324
0.3210.0714558077130.102594814624414
0.3310.0934416450030.108688535744336
0.3410.11655632584810.115158224535163
0.3510.140815550910.121860629496734
0.3610.16619694802440.128418312543736
0.3710.19260743236490.13435106565496
0.3810.21985993457870.139015329656581
0.3910.24766562571290.141845222665671
0.410.27564431668530.142352149422315
0.4110.30335176049730.140276760221532
0.4210.33031912250610.135629491524153
0.4310.35609767611430.128621636073493
0.4410.38030120443820.119696760410411
0.4510.40263958525940.109452832935202
0.4610.42293919601970.0985600435385306
0.4710.44114849154680.0876314069593859
0.4810.45732975373350.0772731388935714
0.4910.47164008748540.0679488542128709
0.510.48430594487190.0599642685847876
0.5110.4955957267640.0534843057597596
0.5210.50579445508720.048540373353465
0.5310.51518337308090.0450535580121164
0.5410.52402591656130.042896135979765
0.5510.53256010094890.0418750977529463
0.5610.54099622803940.0418306745351383
0.5710.54951809236250.0426167343309107
0.5810.55828562656860.044121038026301
0.5910.56743714868330.0462421275506095
0.610.57708996932010.0488673895856294
0.6110.58733893927550.0518899838332711
0.6210.59825339024910.055158473688862
0.6310.60987365658060.0585040316430258
0.6410.62220879428190.0617511393511626
0.6510.63523711781380.0647148396261526
0.6610.64891072618930.0672844903621399
0.6710.66316437243930.0693755610546689
0.6810.67792803634980.070976732110849
0.6910.69314164257560.0721841316339611
0.710.70876975812030.0731497596264699
0.7110.72481393600180.0740736767337675
0.7210.74132063446670.0752011841943884
0.7310.75838321174750.0767464734265124
0.7410.77613723582620.0788931127094066
0.7510.79474919068460.0817463831334806
0.7610.81439961658130.0853075672106555
0.7710.83526276195420.0894685465417356
0.7810.85748570328820.0940092380870259
0.7910.88117009552760.098646176078332
0.810.90635872218670.103056006174575
0.8110.93302681955060.10693827584157
0.8210.96107577808080.110017264199886
0.8310.99032622277110.112054687054759
0.8411.02051040236910.112776720377201
0.8511.05127005155780.111886689640892
0.8611.08217199982810.109106906251631
0.8711.11275410965580.104334603537019
0.8811.14260436225140.0978263221316521
0.8911.17145752769990.0902458108821584
0.911.1992749551870.0825863911716399
0.9111.22626324654950.0758487421203025
0.9211.25279090786220.0705936143028071
0.9311.27917781252510.0666242557277028
0.9411.30536924582050.0627524678073264
0.9511.33059056044610.0569349816981629
0.9611.35321406479250.0471026037022795
0.9711.37114931068510.0329030794320994
0.9811.38285636998980.0171829887286168
0.9911.38847188397470.00509870095804264

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 9.760428959365 & 0.0013928661455751 \tabularnewline
0.02 & 9.7619706508956 & 0.0046280225712906 \tabularnewline
0.03 & 9.76528483831864 & 0.00961059050573497 \tabularnewline
0.04 & 9.77082949002837 & 0.0161781274345719 \tabularnewline
0.05 & 9.77878997740796 & 0.0235289448818538 \tabularnewline
0.06 & 9.78897445151134 & 0.0300385294693815 \tabularnewline
0.07 & 9.80075716933693 & 0.0340950694640516 \tabularnewline
0.08 & 9.81320723769129 & 0.0350295830456967 \tabularnewline
0.09 & 9.82537172246593 & 0.0333235338723426 \tabularnewline
0.1 & 9.83654639836184 & 0.0301337286691641 \tabularnewline
0.11 & 9.84639930926873 & 0.026682261932921 \tabularnewline
0.12 & 9.85493304272964 & 0.0237893566542928 \tabularnewline
0.13 & 9.86235876735186 & 0.0218010193065825 \tabularnewline
0.14 & 9.86896598606794 & 0.0206871055482211 \tabularnewline
0.15 & 9.87503596616603 & 0.020282739244373 \tabularnewline
0.16 & 9.88080682939948 & 0.0204511199852608 \tabularnewline
0.17 & 9.88647584674242 & 0.0211546309042489 \tabularnewline
0.18 & 9.89221942404214 & 0.0224728171474214 \tabularnewline
0.19 & 9.89821516877811 & 0.0245499882863018 \tabularnewline
0.2 & 9.90465644909818 & 0.0275657930736351 \tabularnewline
0.21 & 9.91175513203356 & 0.031653866440579 \tabularnewline
0.22 & 9.91973230017837 & 0.0368329780809801 \tabularnewline
0.23 & 9.92879988251025 & 0.0429900640637082 \tabularnewline
0.24 & 9.93913828826527 & 0.0499054469334927 \tabularnewline
0.25 & 9.95087609373145 & 0.0572582282556459 \tabularnewline
0.26 & 9.96407741573219 & 0.0647256454794926 \tabularnewline
0.27 & 9.97874082729706 & 0.071966169698101 \tabularnewline
0.28 & 9.99481083038169 & 0.0787940848349321 \tabularnewline
0.29 & 10.0121995935573 & 0.08512385719985 \tabularnewline
0.3 & 10.0308137022675 & 0.0910660806851915 \tabularnewline
0.31 & 10.0505788976335 & 0.0967920174509324 \tabularnewline
0.32 & 10.071455807713 & 0.102594814624414 \tabularnewline
0.33 & 10.093441645003 & 0.108688535744336 \tabularnewline
0.34 & 10.1165563258481 & 0.115158224535163 \tabularnewline
0.35 & 10.14081555091 & 0.121860629496734 \tabularnewline
0.36 & 10.1661969480244 & 0.128418312543736 \tabularnewline
0.37 & 10.1926074323649 & 0.13435106565496 \tabularnewline
0.38 & 10.2198599345787 & 0.139015329656581 \tabularnewline
0.39 & 10.2476656257129 & 0.141845222665671 \tabularnewline
0.4 & 10.2756443166853 & 0.142352149422315 \tabularnewline
0.41 & 10.3033517604973 & 0.140276760221532 \tabularnewline
0.42 & 10.3303191225061 & 0.135629491524153 \tabularnewline
0.43 & 10.3560976761143 & 0.128621636073493 \tabularnewline
0.44 & 10.3803012044382 & 0.119696760410411 \tabularnewline
0.45 & 10.4026395852594 & 0.109452832935202 \tabularnewline
0.46 & 10.4229391960197 & 0.0985600435385306 \tabularnewline
0.47 & 10.4411484915468 & 0.0876314069593859 \tabularnewline
0.48 & 10.4573297537335 & 0.0772731388935714 \tabularnewline
0.49 & 10.4716400874854 & 0.0679488542128709 \tabularnewline
0.5 & 10.4843059448719 & 0.0599642685847876 \tabularnewline
0.51 & 10.495595726764 & 0.0534843057597596 \tabularnewline
0.52 & 10.5057944550872 & 0.048540373353465 \tabularnewline
0.53 & 10.5151833730809 & 0.0450535580121164 \tabularnewline
0.54 & 10.5240259165613 & 0.042896135979765 \tabularnewline
0.55 & 10.5325601009489 & 0.0418750977529463 \tabularnewline
0.56 & 10.5409962280394 & 0.0418306745351383 \tabularnewline
0.57 & 10.5495180923625 & 0.0426167343309107 \tabularnewline
0.58 & 10.5582856265686 & 0.044121038026301 \tabularnewline
0.59 & 10.5674371486833 & 0.0462421275506095 \tabularnewline
0.6 & 10.5770899693201 & 0.0488673895856294 \tabularnewline
0.61 & 10.5873389392755 & 0.0518899838332711 \tabularnewline
0.62 & 10.5982533902491 & 0.055158473688862 \tabularnewline
0.63 & 10.6098736565806 & 0.0585040316430258 \tabularnewline
0.64 & 10.6222087942819 & 0.0617511393511626 \tabularnewline
0.65 & 10.6352371178138 & 0.0647148396261526 \tabularnewline
0.66 & 10.6489107261893 & 0.0672844903621399 \tabularnewline
0.67 & 10.6631643724393 & 0.0693755610546689 \tabularnewline
0.68 & 10.6779280363498 & 0.070976732110849 \tabularnewline
0.69 & 10.6931416425756 & 0.0721841316339611 \tabularnewline
0.7 & 10.7087697581203 & 0.0731497596264699 \tabularnewline
0.71 & 10.7248139360018 & 0.0740736767337675 \tabularnewline
0.72 & 10.7413206344667 & 0.0752011841943884 \tabularnewline
0.73 & 10.7583832117475 & 0.0767464734265124 \tabularnewline
0.74 & 10.7761372358262 & 0.0788931127094066 \tabularnewline
0.75 & 10.7947491906846 & 0.0817463831334806 \tabularnewline
0.76 & 10.8143996165813 & 0.0853075672106555 \tabularnewline
0.77 & 10.8352627619542 & 0.0894685465417356 \tabularnewline
0.78 & 10.8574857032882 & 0.0940092380870259 \tabularnewline
0.79 & 10.8811700955276 & 0.098646176078332 \tabularnewline
0.8 & 10.9063587221867 & 0.103056006174575 \tabularnewline
0.81 & 10.9330268195506 & 0.10693827584157 \tabularnewline
0.82 & 10.9610757780808 & 0.110017264199886 \tabularnewline
0.83 & 10.9903262227711 & 0.112054687054759 \tabularnewline
0.84 & 11.0205104023691 & 0.112776720377201 \tabularnewline
0.85 & 11.0512700515578 & 0.111886689640892 \tabularnewline
0.86 & 11.0821719998281 & 0.109106906251631 \tabularnewline
0.87 & 11.1127541096558 & 0.104334603537019 \tabularnewline
0.88 & 11.1426043622514 & 0.0978263221316521 \tabularnewline
0.89 & 11.1714575276999 & 0.0902458108821584 \tabularnewline
0.9 & 11.199274955187 & 0.0825863911716399 \tabularnewline
0.91 & 11.2262632465495 & 0.0758487421203025 \tabularnewline
0.92 & 11.2527909078622 & 0.0705936143028071 \tabularnewline
0.93 & 11.2791778125251 & 0.0666242557277028 \tabularnewline
0.94 & 11.3053692458205 & 0.0627524678073264 \tabularnewline
0.95 & 11.3305905604461 & 0.0569349816981629 \tabularnewline
0.96 & 11.3532140647925 & 0.0471026037022795 \tabularnewline
0.97 & 11.3711493106851 & 0.0329030794320994 \tabularnewline
0.98 & 11.3828563699898 & 0.0171829887286168 \tabularnewline
0.99 & 11.3884718839747 & 0.00509870095804264 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213031&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]9.760428959365[/C][C]0.0013928661455751[/C][/ROW]
[ROW][C]0.02[/C][C]9.7619706508956[/C][C]0.0046280225712906[/C][/ROW]
[ROW][C]0.03[/C][C]9.76528483831864[/C][C]0.00961059050573497[/C][/ROW]
[ROW][C]0.04[/C][C]9.77082949002837[/C][C]0.0161781274345719[/C][/ROW]
[ROW][C]0.05[/C][C]9.77878997740796[/C][C]0.0235289448818538[/C][/ROW]
[ROW][C]0.06[/C][C]9.78897445151134[/C][C]0.0300385294693815[/C][/ROW]
[ROW][C]0.07[/C][C]9.80075716933693[/C][C]0.0340950694640516[/C][/ROW]
[ROW][C]0.08[/C][C]9.81320723769129[/C][C]0.0350295830456967[/C][/ROW]
[ROW][C]0.09[/C][C]9.82537172246593[/C][C]0.0333235338723426[/C][/ROW]
[ROW][C]0.1[/C][C]9.83654639836184[/C][C]0.0301337286691641[/C][/ROW]
[ROW][C]0.11[/C][C]9.84639930926873[/C][C]0.026682261932921[/C][/ROW]
[ROW][C]0.12[/C][C]9.85493304272964[/C][C]0.0237893566542928[/C][/ROW]
[ROW][C]0.13[/C][C]9.86235876735186[/C][C]0.0218010193065825[/C][/ROW]
[ROW][C]0.14[/C][C]9.86896598606794[/C][C]0.0206871055482211[/C][/ROW]
[ROW][C]0.15[/C][C]9.87503596616603[/C][C]0.020282739244373[/C][/ROW]
[ROW][C]0.16[/C][C]9.88080682939948[/C][C]0.0204511199852608[/C][/ROW]
[ROW][C]0.17[/C][C]9.88647584674242[/C][C]0.0211546309042489[/C][/ROW]
[ROW][C]0.18[/C][C]9.89221942404214[/C][C]0.0224728171474214[/C][/ROW]
[ROW][C]0.19[/C][C]9.89821516877811[/C][C]0.0245499882863018[/C][/ROW]
[ROW][C]0.2[/C][C]9.90465644909818[/C][C]0.0275657930736351[/C][/ROW]
[ROW][C]0.21[/C][C]9.91175513203356[/C][C]0.031653866440579[/C][/ROW]
[ROW][C]0.22[/C][C]9.91973230017837[/C][C]0.0368329780809801[/C][/ROW]
[ROW][C]0.23[/C][C]9.92879988251025[/C][C]0.0429900640637082[/C][/ROW]
[ROW][C]0.24[/C][C]9.93913828826527[/C][C]0.0499054469334927[/C][/ROW]
[ROW][C]0.25[/C][C]9.95087609373145[/C][C]0.0572582282556459[/C][/ROW]
[ROW][C]0.26[/C][C]9.96407741573219[/C][C]0.0647256454794926[/C][/ROW]
[ROW][C]0.27[/C][C]9.97874082729706[/C][C]0.071966169698101[/C][/ROW]
[ROW][C]0.28[/C][C]9.99481083038169[/C][C]0.0787940848349321[/C][/ROW]
[ROW][C]0.29[/C][C]10.0121995935573[/C][C]0.08512385719985[/C][/ROW]
[ROW][C]0.3[/C][C]10.0308137022675[/C][C]0.0910660806851915[/C][/ROW]
[ROW][C]0.31[/C][C]10.0505788976335[/C][C]0.0967920174509324[/C][/ROW]
[ROW][C]0.32[/C][C]10.071455807713[/C][C]0.102594814624414[/C][/ROW]
[ROW][C]0.33[/C][C]10.093441645003[/C][C]0.108688535744336[/C][/ROW]
[ROW][C]0.34[/C][C]10.1165563258481[/C][C]0.115158224535163[/C][/ROW]
[ROW][C]0.35[/C][C]10.14081555091[/C][C]0.121860629496734[/C][/ROW]
[ROW][C]0.36[/C][C]10.1661969480244[/C][C]0.128418312543736[/C][/ROW]
[ROW][C]0.37[/C][C]10.1926074323649[/C][C]0.13435106565496[/C][/ROW]
[ROW][C]0.38[/C][C]10.2198599345787[/C][C]0.139015329656581[/C][/ROW]
[ROW][C]0.39[/C][C]10.2476656257129[/C][C]0.141845222665671[/C][/ROW]
[ROW][C]0.4[/C][C]10.2756443166853[/C][C]0.142352149422315[/C][/ROW]
[ROW][C]0.41[/C][C]10.3033517604973[/C][C]0.140276760221532[/C][/ROW]
[ROW][C]0.42[/C][C]10.3303191225061[/C][C]0.135629491524153[/C][/ROW]
[ROW][C]0.43[/C][C]10.3560976761143[/C][C]0.128621636073493[/C][/ROW]
[ROW][C]0.44[/C][C]10.3803012044382[/C][C]0.119696760410411[/C][/ROW]
[ROW][C]0.45[/C][C]10.4026395852594[/C][C]0.109452832935202[/C][/ROW]
[ROW][C]0.46[/C][C]10.4229391960197[/C][C]0.0985600435385306[/C][/ROW]
[ROW][C]0.47[/C][C]10.4411484915468[/C][C]0.0876314069593859[/C][/ROW]
[ROW][C]0.48[/C][C]10.4573297537335[/C][C]0.0772731388935714[/C][/ROW]
[ROW][C]0.49[/C][C]10.4716400874854[/C][C]0.0679488542128709[/C][/ROW]
[ROW][C]0.5[/C][C]10.4843059448719[/C][C]0.0599642685847876[/C][/ROW]
[ROW][C]0.51[/C][C]10.495595726764[/C][C]0.0534843057597596[/C][/ROW]
[ROW][C]0.52[/C][C]10.5057944550872[/C][C]0.048540373353465[/C][/ROW]
[ROW][C]0.53[/C][C]10.5151833730809[/C][C]0.0450535580121164[/C][/ROW]
[ROW][C]0.54[/C][C]10.5240259165613[/C][C]0.042896135979765[/C][/ROW]
[ROW][C]0.55[/C][C]10.5325601009489[/C][C]0.0418750977529463[/C][/ROW]
[ROW][C]0.56[/C][C]10.5409962280394[/C][C]0.0418306745351383[/C][/ROW]
[ROW][C]0.57[/C][C]10.5495180923625[/C][C]0.0426167343309107[/C][/ROW]
[ROW][C]0.58[/C][C]10.5582856265686[/C][C]0.044121038026301[/C][/ROW]
[ROW][C]0.59[/C][C]10.5674371486833[/C][C]0.0462421275506095[/C][/ROW]
[ROW][C]0.6[/C][C]10.5770899693201[/C][C]0.0488673895856294[/C][/ROW]
[ROW][C]0.61[/C][C]10.5873389392755[/C][C]0.0518899838332711[/C][/ROW]
[ROW][C]0.62[/C][C]10.5982533902491[/C][C]0.055158473688862[/C][/ROW]
[ROW][C]0.63[/C][C]10.6098736565806[/C][C]0.0585040316430258[/C][/ROW]
[ROW][C]0.64[/C][C]10.6222087942819[/C][C]0.0617511393511626[/C][/ROW]
[ROW][C]0.65[/C][C]10.6352371178138[/C][C]0.0647148396261526[/C][/ROW]
[ROW][C]0.66[/C][C]10.6489107261893[/C][C]0.0672844903621399[/C][/ROW]
[ROW][C]0.67[/C][C]10.6631643724393[/C][C]0.0693755610546689[/C][/ROW]
[ROW][C]0.68[/C][C]10.6779280363498[/C][C]0.070976732110849[/C][/ROW]
[ROW][C]0.69[/C][C]10.6931416425756[/C][C]0.0721841316339611[/C][/ROW]
[ROW][C]0.7[/C][C]10.7087697581203[/C][C]0.0731497596264699[/C][/ROW]
[ROW][C]0.71[/C][C]10.7248139360018[/C][C]0.0740736767337675[/C][/ROW]
[ROW][C]0.72[/C][C]10.7413206344667[/C][C]0.0752011841943884[/C][/ROW]
[ROW][C]0.73[/C][C]10.7583832117475[/C][C]0.0767464734265124[/C][/ROW]
[ROW][C]0.74[/C][C]10.7761372358262[/C][C]0.0788931127094066[/C][/ROW]
[ROW][C]0.75[/C][C]10.7947491906846[/C][C]0.0817463831334806[/C][/ROW]
[ROW][C]0.76[/C][C]10.8143996165813[/C][C]0.0853075672106555[/C][/ROW]
[ROW][C]0.77[/C][C]10.8352627619542[/C][C]0.0894685465417356[/C][/ROW]
[ROW][C]0.78[/C][C]10.8574857032882[/C][C]0.0940092380870259[/C][/ROW]
[ROW][C]0.79[/C][C]10.8811700955276[/C][C]0.098646176078332[/C][/ROW]
[ROW][C]0.8[/C][C]10.9063587221867[/C][C]0.103056006174575[/C][/ROW]
[ROW][C]0.81[/C][C]10.9330268195506[/C][C]0.10693827584157[/C][/ROW]
[ROW][C]0.82[/C][C]10.9610757780808[/C][C]0.110017264199886[/C][/ROW]
[ROW][C]0.83[/C][C]10.9903262227711[/C][C]0.112054687054759[/C][/ROW]
[ROW][C]0.84[/C][C]11.0205104023691[/C][C]0.112776720377201[/C][/ROW]
[ROW][C]0.85[/C][C]11.0512700515578[/C][C]0.111886689640892[/C][/ROW]
[ROW][C]0.86[/C][C]11.0821719998281[/C][C]0.109106906251631[/C][/ROW]
[ROW][C]0.87[/C][C]11.1127541096558[/C][C]0.104334603537019[/C][/ROW]
[ROW][C]0.88[/C][C]11.1426043622514[/C][C]0.0978263221316521[/C][/ROW]
[ROW][C]0.89[/C][C]11.1714575276999[/C][C]0.0902458108821584[/C][/ROW]
[ROW][C]0.9[/C][C]11.199274955187[/C][C]0.0825863911716399[/C][/ROW]
[ROW][C]0.91[/C][C]11.2262632465495[/C][C]0.0758487421203025[/C][/ROW]
[ROW][C]0.92[/C][C]11.2527909078622[/C][C]0.0705936143028071[/C][/ROW]
[ROW][C]0.93[/C][C]11.2791778125251[/C][C]0.0666242557277028[/C][/ROW]
[ROW][C]0.94[/C][C]11.3053692458205[/C][C]0.0627524678073264[/C][/ROW]
[ROW][C]0.95[/C][C]11.3305905604461[/C][C]0.0569349816981629[/C][/ROW]
[ROW][C]0.96[/C][C]11.3532140647925[/C][C]0.0471026037022795[/C][/ROW]
[ROW][C]0.97[/C][C]11.3711493106851[/C][C]0.0329030794320994[/C][/ROW]
[ROW][C]0.98[/C][C]11.3828563699898[/C][C]0.0171829887286168[/C][/ROW]
[ROW][C]0.99[/C][C]11.3884718839747[/C][C]0.00509870095804264[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213031&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213031&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
0.019.7604289593650.0013928661455751
0.029.76197065089560.0046280225712906
0.039.765284838318640.00961059050573497
0.049.770829490028370.0161781274345719
0.059.778789977407960.0235289448818538
0.069.788974451511340.0300385294693815
0.079.800757169336930.0340950694640516
0.089.813207237691290.0350295830456967
0.099.825371722465930.0333235338723426
0.19.836546398361840.0301337286691641
0.119.846399309268730.026682261932921
0.129.854933042729640.0237893566542928
0.139.862358767351860.0218010193065825
0.149.868965986067940.0206871055482211
0.159.875035966166030.020282739244373
0.169.880806829399480.0204511199852608
0.179.886475846742420.0211546309042489
0.189.892219424042140.0224728171474214
0.199.898215168778110.0245499882863018
0.29.904656449098180.0275657930736351
0.219.911755132033560.031653866440579
0.229.919732300178370.0368329780809801
0.239.928799882510250.0429900640637082
0.249.939138288265270.0499054469334927
0.259.950876093731450.0572582282556459
0.269.964077415732190.0647256454794926
0.279.978740827297060.071966169698101
0.289.994810830381690.0787940848349321
0.2910.01219959355730.08512385719985
0.310.03081370226750.0910660806851915
0.3110.05057889763350.0967920174509324
0.3210.0714558077130.102594814624414
0.3310.0934416450030.108688535744336
0.3410.11655632584810.115158224535163
0.3510.140815550910.121860629496734
0.3610.16619694802440.128418312543736
0.3710.19260743236490.13435106565496
0.3810.21985993457870.139015329656581
0.3910.24766562571290.141845222665671
0.410.27564431668530.142352149422315
0.4110.30335176049730.140276760221532
0.4210.33031912250610.135629491524153
0.4310.35609767611430.128621636073493
0.4410.38030120443820.119696760410411
0.4510.40263958525940.109452832935202
0.4610.42293919601970.0985600435385306
0.4710.44114849154680.0876314069593859
0.4810.45732975373350.0772731388935714
0.4910.47164008748540.0679488542128709
0.510.48430594487190.0599642685847876
0.5110.4955957267640.0534843057597596
0.5210.50579445508720.048540373353465
0.5310.51518337308090.0450535580121164
0.5410.52402591656130.042896135979765
0.5510.53256010094890.0418750977529463
0.5610.54099622803940.0418306745351383
0.5710.54951809236250.0426167343309107
0.5810.55828562656860.044121038026301
0.5910.56743714868330.0462421275506095
0.610.57708996932010.0488673895856294
0.6110.58733893927550.0518899838332711
0.6210.59825339024910.055158473688862
0.6310.60987365658060.0585040316430258
0.6410.62220879428190.0617511393511626
0.6510.63523711781380.0647148396261526
0.6610.64891072618930.0672844903621399
0.6710.66316437243930.0693755610546689
0.6810.67792803634980.070976732110849
0.6910.69314164257560.0721841316339611
0.710.70876975812030.0731497596264699
0.7110.72481393600180.0740736767337675
0.7210.74132063446670.0752011841943884
0.7310.75838321174750.0767464734265124
0.7410.77613723582620.0788931127094066
0.7510.79474919068460.0817463831334806
0.7610.81439961658130.0853075672106555
0.7710.83526276195420.0894685465417356
0.7810.85748570328820.0940092380870259
0.7910.88117009552760.098646176078332
0.810.90635872218670.103056006174575
0.8110.93302681955060.10693827584157
0.8210.96107577808080.110017264199886
0.8310.99032622277110.112054687054759
0.8411.02051040236910.112776720377201
0.8511.05127005155780.111886689640892
0.8611.08217199982810.109106906251631
0.8711.11275410965580.104334603537019
0.8811.14260436225140.0978263221316521
0.8911.17145752769990.0902458108821584
0.911.1992749551870.0825863911716399
0.9111.22626324654950.0758487421203025
0.9211.25279090786220.0705936143028071
0.9311.27917781252510.0666242557277028
0.9411.30536924582050.0627524678073264
0.9511.33059056044610.0569349816981629
0.9611.35321406479250.0471026037022795
0.9711.37114931068510.0329030794320994
0.9811.38285636998980.0171829887286168
0.9911.38847188397470.00509870095804264


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')