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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 17 Dec 2014 12:49:53 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/17/t1418820685nz6q3zpfyro9ixe.htm/, Retrieved Thu, 16 May 2024 19:02:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270137, Retrieved Thu, 16 May 2024 19:02:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact62
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-06 15:29:08] [4c4ebb0b36a379d1d949ba77427e658a]
- RM D  [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-08 17:37:26] [4c4ebb0b36a379d1d949ba77427e658a]
-    D    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-08 17:38:14] [4c4ebb0b36a379d1d949ba77427e658a]
-    D      [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-08 17:38:46] [4c4ebb0b36a379d1d949ba77427e658a]
- RMPD        [Harrell-Davis Quantiles] [] [2014-12-08 18:00:25] [4c4ebb0b36a379d1d949ba77427e658a]
- R  D          [Harrell-Davis Quantiles] [] [2014-12-17 12:47:21] [4c4ebb0b36a379d1d949ba77427e658a]
-    D              [Harrell-Davis Quantiles] [] [2014-12-17 12:49:53] [d9810f96fa2f1581f787e7f797109997] [Current]
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Dataseries X:
12,9
7,4
12,2
12,8
7,4
6,7
12,6
14,8
13,3
11,1
8,2
11,4
6,4
10,6
12,0
6,3
11,9
9,3
10,0
13,8
10,8
11,7
10,9
9,9
11,5
8,3
11,7
6,1
9,0
9,7
10,8
10,3
10,4
9,3
11,8
5,9
11,4
13,0
10,8
11,3
11,8
12,7
10,9
13,3
10,1
14,3
9,3
12,5
7,6
15,9
9,2
11,1
13,0
14,5
12,3
11,4
7,3
12,6
13,0
13,2
7,7




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270137&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270137&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270137&T=0

As an alternative you can also use a 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'George Udny Yule' @ yule.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.015.95740008892870.198215255559102
0.026.051860419892110.215651879087316
0.036.167094997200890.254591909554453
0.046.293841100886040.30995347322675
0.056.429302110444210.37126149713119
0.066.572497722909090.426047102372658
0.076.721385451988220.464649411265079
0.086.872587372505350.484044494889239
0.097.02252642121610.488400665536399
0.17.168704004516270.48677032945685
0.117.310393729649520.489151936410493
0.127.448578434069290.502571405685054
0.137.585325217026210.528747581569236
0.147.722940478118680.564488258232742
0.157.863218273355210.603905415761309
0.168.006972798401270.640679530488655
0.178.153908078599570.669544417417675
0.188.302773967966060.687072444154579
0.198.451703384959380.691917165868996
0.28.598615256216840.684700227481808
0.218.741585932233630.667620813650743
0.228.87912402751390.643915684160938
0.239.010318660691970.617174320549947
0.249.134861904325290.590729412798729
0.259.252968962669620.567135062208794
0.269.365232487804650.547853516399978
0.279.472450641644880.533233350718299
0.289.575463672530020.522671613716457
0.299.675023676841390.514978987210185
0.39.771710097796630.508775980061519
0.319.865892322601130.502759143049143
0.329.957732512244740.495878099582525
0.3310.0472173677290.487418431028947
0.3410.13420661427360.476957755048369
0.3510.2184875368780.464393546817797
0.3610.29982763936610.449855588495699
0.3710.37802031957180.433678895105539
0.3810.45292068985830.416368592622947
0.3910.52447014409210.398528024654039
0.410.59270916049630.380863566925626
0.4110.65777847025560.364046402490595
0.4210.7199094056910.34869907603932
0.4310.77940508981480.335305105362542
0.4410.83661506285320.324137663962585
0.4510.8919067412530.315229184366496
0.4610.94563751535350.308419983735096
0.4710.99813113043270.303346131187586
0.4811.04966122563580.299559824984797
0.4911.1004436549720.29662040269633
0.511.1506377415950.294114376259093
0.5111.20035523215730.291771191605476
0.5211.24967469875360.289464554762991
0.5311.29865864976960.287161740349548
0.5411.34737067813720.285018990195519
0.5511.39589047474960.283176525347045
0.5611.44432525048680.281902460275984
0.5711.49281680585590.281395702487095
0.5811.54154398141840.281909922650291
0.5911.59072044496060.283653197464911
0.611.64058778145040.28677431794948
0.6111.69140380964950.291361054182882
0.6211.74342615301160.297402010822064
0.6311.79689149697490.304749402095193
0.6411.85199170906290.313097283507225
0.6511.90884896780840.321954596997302
0.6611.96749298549820.330670850281445
0.6712.0278439852740.338514331078661
0.6812.08970499747090.344715567253838
0.6912.15276610268880.348573651819011
0.712.21662152435450.349555663251013
0.7112.28079827198580.347346209694531
0.7212.34479287875780.34191736736783
0.7312.4081112701390.333478078877843
0.7412.47030645849680.322495627418397
0.7512.53100981787210.309572680615482
0.7612.58995398439170.295400619152292
0.7712.64698837036390.280650628261886
0.7812.70209103257020.265941338407406
0.7912.75538237954830.25187246443013
0.812.8071464585660.239037654447544
0.8112.85786436139590.228145033179132
0.8212.90826202712760.220106010443091
0.8312.95937165071580.216081757108791
0.8413.01260146348880.217475765028138
0.8513.06980120946410.225875132643249
0.8613.13329846707810.242870965100734
0.8713.20586490775430.269769077067921
0.8813.29055898200720.307023830964459
0.8913.39039922385630.353413000531558
0.913.50787527271810.405219800001414
0.9113.64442529889110.455923437230813
0.9213.80020016644280.497044233922313
0.9313.97463668239760.520729980291739
0.9414.16837662090590.524184184337695
0.9514.38643495891360.515781109376657
0.9614.64051701782780.521621072842754
0.9714.94483996524580.583731934527108
0.9815.29783828747990.728898823802082
0.9915.65143260332430.925163012103845

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 5.9574000889287 & 0.198215255559102 \tabularnewline
0.02 & 6.05186041989211 & 0.215651879087316 \tabularnewline
0.03 & 6.16709499720089 & 0.254591909554453 \tabularnewline
0.04 & 6.29384110088604 & 0.30995347322675 \tabularnewline
0.05 & 6.42930211044421 & 0.37126149713119 \tabularnewline
0.06 & 6.57249772290909 & 0.426047102372658 \tabularnewline
0.07 & 6.72138545198822 & 0.464649411265079 \tabularnewline
0.08 & 6.87258737250535 & 0.484044494889239 \tabularnewline
0.09 & 7.0225264212161 & 0.488400665536399 \tabularnewline
0.1 & 7.16870400451627 & 0.48677032945685 \tabularnewline
0.11 & 7.31039372964952 & 0.489151936410493 \tabularnewline
0.12 & 7.44857843406929 & 0.502571405685054 \tabularnewline
0.13 & 7.58532521702621 & 0.528747581569236 \tabularnewline
0.14 & 7.72294047811868 & 0.564488258232742 \tabularnewline
0.15 & 7.86321827335521 & 0.603905415761309 \tabularnewline
0.16 & 8.00697279840127 & 0.640679530488655 \tabularnewline
0.17 & 8.15390807859957 & 0.669544417417675 \tabularnewline
0.18 & 8.30277396796606 & 0.687072444154579 \tabularnewline
0.19 & 8.45170338495938 & 0.691917165868996 \tabularnewline
0.2 & 8.59861525621684 & 0.684700227481808 \tabularnewline
0.21 & 8.74158593223363 & 0.667620813650743 \tabularnewline
0.22 & 8.8791240275139 & 0.643915684160938 \tabularnewline
0.23 & 9.01031866069197 & 0.617174320549947 \tabularnewline
0.24 & 9.13486190432529 & 0.590729412798729 \tabularnewline
0.25 & 9.25296896266962 & 0.567135062208794 \tabularnewline
0.26 & 9.36523248780465 & 0.547853516399978 \tabularnewline
0.27 & 9.47245064164488 & 0.533233350718299 \tabularnewline
0.28 & 9.57546367253002 & 0.522671613716457 \tabularnewline
0.29 & 9.67502367684139 & 0.514978987210185 \tabularnewline
0.3 & 9.77171009779663 & 0.508775980061519 \tabularnewline
0.31 & 9.86589232260113 & 0.502759143049143 \tabularnewline
0.32 & 9.95773251224474 & 0.495878099582525 \tabularnewline
0.33 & 10.047217367729 & 0.487418431028947 \tabularnewline
0.34 & 10.1342066142736 & 0.476957755048369 \tabularnewline
0.35 & 10.218487536878 & 0.464393546817797 \tabularnewline
0.36 & 10.2998276393661 & 0.449855588495699 \tabularnewline
0.37 & 10.3780203195718 & 0.433678895105539 \tabularnewline
0.38 & 10.4529206898583 & 0.416368592622947 \tabularnewline
0.39 & 10.5244701440921 & 0.398528024654039 \tabularnewline
0.4 & 10.5927091604963 & 0.380863566925626 \tabularnewline
0.41 & 10.6577784702556 & 0.364046402490595 \tabularnewline
0.42 & 10.719909405691 & 0.34869907603932 \tabularnewline
0.43 & 10.7794050898148 & 0.335305105362542 \tabularnewline
0.44 & 10.8366150628532 & 0.324137663962585 \tabularnewline
0.45 & 10.891906741253 & 0.315229184366496 \tabularnewline
0.46 & 10.9456375153535 & 0.308419983735096 \tabularnewline
0.47 & 10.9981311304327 & 0.303346131187586 \tabularnewline
0.48 & 11.0496612256358 & 0.299559824984797 \tabularnewline
0.49 & 11.100443654972 & 0.29662040269633 \tabularnewline
0.5 & 11.150637741595 & 0.294114376259093 \tabularnewline
0.51 & 11.2003552321573 & 0.291771191605476 \tabularnewline
0.52 & 11.2496746987536 & 0.289464554762991 \tabularnewline
0.53 & 11.2986586497696 & 0.287161740349548 \tabularnewline
0.54 & 11.3473706781372 & 0.285018990195519 \tabularnewline
0.55 & 11.3958904747496 & 0.283176525347045 \tabularnewline
0.56 & 11.4443252504868 & 0.281902460275984 \tabularnewline
0.57 & 11.4928168058559 & 0.281395702487095 \tabularnewline
0.58 & 11.5415439814184 & 0.281909922650291 \tabularnewline
0.59 & 11.5907204449606 & 0.283653197464911 \tabularnewline
0.6 & 11.6405877814504 & 0.28677431794948 \tabularnewline
0.61 & 11.6914038096495 & 0.291361054182882 \tabularnewline
0.62 & 11.7434261530116 & 0.297402010822064 \tabularnewline
0.63 & 11.7968914969749 & 0.304749402095193 \tabularnewline
0.64 & 11.8519917090629 & 0.313097283507225 \tabularnewline
0.65 & 11.9088489678084 & 0.321954596997302 \tabularnewline
0.66 & 11.9674929854982 & 0.330670850281445 \tabularnewline
0.67 & 12.027843985274 & 0.338514331078661 \tabularnewline
0.68 & 12.0897049974709 & 0.344715567253838 \tabularnewline
0.69 & 12.1527661026888 & 0.348573651819011 \tabularnewline
0.7 & 12.2166215243545 & 0.349555663251013 \tabularnewline
0.71 & 12.2807982719858 & 0.347346209694531 \tabularnewline
0.72 & 12.3447928787578 & 0.34191736736783 \tabularnewline
0.73 & 12.408111270139 & 0.333478078877843 \tabularnewline
0.74 & 12.4703064584968 & 0.322495627418397 \tabularnewline
0.75 & 12.5310098178721 & 0.309572680615482 \tabularnewline
0.76 & 12.5899539843917 & 0.295400619152292 \tabularnewline
0.77 & 12.6469883703639 & 0.280650628261886 \tabularnewline
0.78 & 12.7020910325702 & 0.265941338407406 \tabularnewline
0.79 & 12.7553823795483 & 0.25187246443013 \tabularnewline
0.8 & 12.807146458566 & 0.239037654447544 \tabularnewline
0.81 & 12.8578643613959 & 0.228145033179132 \tabularnewline
0.82 & 12.9082620271276 & 0.220106010443091 \tabularnewline
0.83 & 12.9593716507158 & 0.216081757108791 \tabularnewline
0.84 & 13.0126014634888 & 0.217475765028138 \tabularnewline
0.85 & 13.0698012094641 & 0.225875132643249 \tabularnewline
0.86 & 13.1332984670781 & 0.242870965100734 \tabularnewline
0.87 & 13.2058649077543 & 0.269769077067921 \tabularnewline
0.88 & 13.2905589820072 & 0.307023830964459 \tabularnewline
0.89 & 13.3903992238563 & 0.353413000531558 \tabularnewline
0.9 & 13.5078752727181 & 0.405219800001414 \tabularnewline
0.91 & 13.6444252988911 & 0.455923437230813 \tabularnewline
0.92 & 13.8002001664428 & 0.497044233922313 \tabularnewline
0.93 & 13.9746366823976 & 0.520729980291739 \tabularnewline
0.94 & 14.1683766209059 & 0.524184184337695 \tabularnewline
0.95 & 14.3864349589136 & 0.515781109376657 \tabularnewline
0.96 & 14.6405170178278 & 0.521621072842754 \tabularnewline
0.97 & 14.9448399652458 & 0.583731934527108 \tabularnewline
0.98 & 15.2978382874799 & 0.728898823802082 \tabularnewline
0.99 & 15.6514326033243 & 0.925163012103845 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270137&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]5.9574000889287[/C][C]0.198215255559102[/C][/ROW]
[ROW][C]0.02[/C][C]6.05186041989211[/C][C]0.215651879087316[/C][/ROW]
[ROW][C]0.03[/C][C]6.16709499720089[/C][C]0.254591909554453[/C][/ROW]
[ROW][C]0.04[/C][C]6.29384110088604[/C][C]0.30995347322675[/C][/ROW]
[ROW][C]0.05[/C][C]6.42930211044421[/C][C]0.37126149713119[/C][/ROW]
[ROW][C]0.06[/C][C]6.57249772290909[/C][C]0.426047102372658[/C][/ROW]
[ROW][C]0.07[/C][C]6.72138545198822[/C][C]0.464649411265079[/C][/ROW]
[ROW][C]0.08[/C][C]6.87258737250535[/C][C]0.484044494889239[/C][/ROW]
[ROW][C]0.09[/C][C]7.0225264212161[/C][C]0.488400665536399[/C][/ROW]
[ROW][C]0.1[/C][C]7.16870400451627[/C][C]0.48677032945685[/C][/ROW]
[ROW][C]0.11[/C][C]7.31039372964952[/C][C]0.489151936410493[/C][/ROW]
[ROW][C]0.12[/C][C]7.44857843406929[/C][C]0.502571405685054[/C][/ROW]
[ROW][C]0.13[/C][C]7.58532521702621[/C][C]0.528747581569236[/C][/ROW]
[ROW][C]0.14[/C][C]7.72294047811868[/C][C]0.564488258232742[/C][/ROW]
[ROW][C]0.15[/C][C]7.86321827335521[/C][C]0.603905415761309[/C][/ROW]
[ROW][C]0.16[/C][C]8.00697279840127[/C][C]0.640679530488655[/C][/ROW]
[ROW][C]0.17[/C][C]8.15390807859957[/C][C]0.669544417417675[/C][/ROW]
[ROW][C]0.18[/C][C]8.30277396796606[/C][C]0.687072444154579[/C][/ROW]
[ROW][C]0.19[/C][C]8.45170338495938[/C][C]0.691917165868996[/C][/ROW]
[ROW][C]0.2[/C][C]8.59861525621684[/C][C]0.684700227481808[/C][/ROW]
[ROW][C]0.21[/C][C]8.74158593223363[/C][C]0.667620813650743[/C][/ROW]
[ROW][C]0.22[/C][C]8.8791240275139[/C][C]0.643915684160938[/C][/ROW]
[ROW][C]0.23[/C][C]9.01031866069197[/C][C]0.617174320549947[/C][/ROW]
[ROW][C]0.24[/C][C]9.13486190432529[/C][C]0.590729412798729[/C][/ROW]
[ROW][C]0.25[/C][C]9.25296896266962[/C][C]0.567135062208794[/C][/ROW]
[ROW][C]0.26[/C][C]9.36523248780465[/C][C]0.547853516399978[/C][/ROW]
[ROW][C]0.27[/C][C]9.47245064164488[/C][C]0.533233350718299[/C][/ROW]
[ROW][C]0.28[/C][C]9.57546367253002[/C][C]0.522671613716457[/C][/ROW]
[ROW][C]0.29[/C][C]9.67502367684139[/C][C]0.514978987210185[/C][/ROW]
[ROW][C]0.3[/C][C]9.77171009779663[/C][C]0.508775980061519[/C][/ROW]
[ROW][C]0.31[/C][C]9.86589232260113[/C][C]0.502759143049143[/C][/ROW]
[ROW][C]0.32[/C][C]9.95773251224474[/C][C]0.495878099582525[/C][/ROW]
[ROW][C]0.33[/C][C]10.047217367729[/C][C]0.487418431028947[/C][/ROW]
[ROW][C]0.34[/C][C]10.1342066142736[/C][C]0.476957755048369[/C][/ROW]
[ROW][C]0.35[/C][C]10.218487536878[/C][C]0.464393546817797[/C][/ROW]
[ROW][C]0.36[/C][C]10.2998276393661[/C][C]0.449855588495699[/C][/ROW]
[ROW][C]0.37[/C][C]10.3780203195718[/C][C]0.433678895105539[/C][/ROW]
[ROW][C]0.38[/C][C]10.4529206898583[/C][C]0.416368592622947[/C][/ROW]
[ROW][C]0.39[/C][C]10.5244701440921[/C][C]0.398528024654039[/C][/ROW]
[ROW][C]0.4[/C][C]10.5927091604963[/C][C]0.380863566925626[/C][/ROW]
[ROW][C]0.41[/C][C]10.6577784702556[/C][C]0.364046402490595[/C][/ROW]
[ROW][C]0.42[/C][C]10.719909405691[/C][C]0.34869907603932[/C][/ROW]
[ROW][C]0.43[/C][C]10.7794050898148[/C][C]0.335305105362542[/C][/ROW]
[ROW][C]0.44[/C][C]10.8366150628532[/C][C]0.324137663962585[/C][/ROW]
[ROW][C]0.45[/C][C]10.891906741253[/C][C]0.315229184366496[/C][/ROW]
[ROW][C]0.46[/C][C]10.9456375153535[/C][C]0.308419983735096[/C][/ROW]
[ROW][C]0.47[/C][C]10.9981311304327[/C][C]0.303346131187586[/C][/ROW]
[ROW][C]0.48[/C][C]11.0496612256358[/C][C]0.299559824984797[/C][/ROW]
[ROW][C]0.49[/C][C]11.100443654972[/C][C]0.29662040269633[/C][/ROW]
[ROW][C]0.5[/C][C]11.150637741595[/C][C]0.294114376259093[/C][/ROW]
[ROW][C]0.51[/C][C]11.2003552321573[/C][C]0.291771191605476[/C][/ROW]
[ROW][C]0.52[/C][C]11.2496746987536[/C][C]0.289464554762991[/C][/ROW]
[ROW][C]0.53[/C][C]11.2986586497696[/C][C]0.287161740349548[/C][/ROW]
[ROW][C]0.54[/C][C]11.3473706781372[/C][C]0.285018990195519[/C][/ROW]
[ROW][C]0.55[/C][C]11.3958904747496[/C][C]0.283176525347045[/C][/ROW]
[ROW][C]0.56[/C][C]11.4443252504868[/C][C]0.281902460275984[/C][/ROW]
[ROW][C]0.57[/C][C]11.4928168058559[/C][C]0.281395702487095[/C][/ROW]
[ROW][C]0.58[/C][C]11.5415439814184[/C][C]0.281909922650291[/C][/ROW]
[ROW][C]0.59[/C][C]11.5907204449606[/C][C]0.283653197464911[/C][/ROW]
[ROW][C]0.6[/C][C]11.6405877814504[/C][C]0.28677431794948[/C][/ROW]
[ROW][C]0.61[/C][C]11.6914038096495[/C][C]0.291361054182882[/C][/ROW]
[ROW][C]0.62[/C][C]11.7434261530116[/C][C]0.297402010822064[/C][/ROW]
[ROW][C]0.63[/C][C]11.7968914969749[/C][C]0.304749402095193[/C][/ROW]
[ROW][C]0.64[/C][C]11.8519917090629[/C][C]0.313097283507225[/C][/ROW]
[ROW][C]0.65[/C][C]11.9088489678084[/C][C]0.321954596997302[/C][/ROW]
[ROW][C]0.66[/C][C]11.9674929854982[/C][C]0.330670850281445[/C][/ROW]
[ROW][C]0.67[/C][C]12.027843985274[/C][C]0.338514331078661[/C][/ROW]
[ROW][C]0.68[/C][C]12.0897049974709[/C][C]0.344715567253838[/C][/ROW]
[ROW][C]0.69[/C][C]12.1527661026888[/C][C]0.348573651819011[/C][/ROW]
[ROW][C]0.7[/C][C]12.2166215243545[/C][C]0.349555663251013[/C][/ROW]
[ROW][C]0.71[/C][C]12.2807982719858[/C][C]0.347346209694531[/C][/ROW]
[ROW][C]0.72[/C][C]12.3447928787578[/C][C]0.34191736736783[/C][/ROW]
[ROW][C]0.73[/C][C]12.408111270139[/C][C]0.333478078877843[/C][/ROW]
[ROW][C]0.74[/C][C]12.4703064584968[/C][C]0.322495627418397[/C][/ROW]
[ROW][C]0.75[/C][C]12.5310098178721[/C][C]0.309572680615482[/C][/ROW]
[ROW][C]0.76[/C][C]12.5899539843917[/C][C]0.295400619152292[/C][/ROW]
[ROW][C]0.77[/C][C]12.6469883703639[/C][C]0.280650628261886[/C][/ROW]
[ROW][C]0.78[/C][C]12.7020910325702[/C][C]0.265941338407406[/C][/ROW]
[ROW][C]0.79[/C][C]12.7553823795483[/C][C]0.25187246443013[/C][/ROW]
[ROW][C]0.8[/C][C]12.807146458566[/C][C]0.239037654447544[/C][/ROW]
[ROW][C]0.81[/C][C]12.8578643613959[/C][C]0.228145033179132[/C][/ROW]
[ROW][C]0.82[/C][C]12.9082620271276[/C][C]0.220106010443091[/C][/ROW]
[ROW][C]0.83[/C][C]12.9593716507158[/C][C]0.216081757108791[/C][/ROW]
[ROW][C]0.84[/C][C]13.0126014634888[/C][C]0.217475765028138[/C][/ROW]
[ROW][C]0.85[/C][C]13.0698012094641[/C][C]0.225875132643249[/C][/ROW]
[ROW][C]0.86[/C][C]13.1332984670781[/C][C]0.242870965100734[/C][/ROW]
[ROW][C]0.87[/C][C]13.2058649077543[/C][C]0.269769077067921[/C][/ROW]
[ROW][C]0.88[/C][C]13.2905589820072[/C][C]0.307023830964459[/C][/ROW]
[ROW][C]0.89[/C][C]13.3903992238563[/C][C]0.353413000531558[/C][/ROW]
[ROW][C]0.9[/C][C]13.5078752727181[/C][C]0.405219800001414[/C][/ROW]
[ROW][C]0.91[/C][C]13.6444252988911[/C][C]0.455923437230813[/C][/ROW]
[ROW][C]0.92[/C][C]13.8002001664428[/C][C]0.497044233922313[/C][/ROW]
[ROW][C]0.93[/C][C]13.9746366823976[/C][C]0.520729980291739[/C][/ROW]
[ROW][C]0.94[/C][C]14.1683766209059[/C][C]0.524184184337695[/C][/ROW]
[ROW][C]0.95[/C][C]14.3864349589136[/C][C]0.515781109376657[/C][/ROW]
[ROW][C]0.96[/C][C]14.6405170178278[/C][C]0.521621072842754[/C][/ROW]
[ROW][C]0.97[/C][C]14.9448399652458[/C][C]0.583731934527108[/C][/ROW]
[ROW][C]0.98[/C][C]15.2978382874799[/C][C]0.728898823802082[/C][/ROW]
[ROW][C]0.99[/C][C]15.6514326033243[/C][C]0.925163012103845[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270137&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270137&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.015.95740008892870.198215255559102
0.026.051860419892110.215651879087316
0.036.167094997200890.254591909554453
0.046.293841100886040.30995347322675
0.056.429302110444210.37126149713119
0.066.572497722909090.426047102372658
0.076.721385451988220.464649411265079
0.086.872587372505350.484044494889239
0.097.02252642121610.488400665536399
0.17.168704004516270.48677032945685
0.117.310393729649520.489151936410493
0.127.448578434069290.502571405685054
0.137.585325217026210.528747581569236
0.147.722940478118680.564488258232742
0.157.863218273355210.603905415761309
0.168.006972798401270.640679530488655
0.178.153908078599570.669544417417675
0.188.302773967966060.687072444154579
0.198.451703384959380.691917165868996
0.28.598615256216840.684700227481808
0.218.741585932233630.667620813650743
0.228.87912402751390.643915684160938
0.239.010318660691970.617174320549947
0.249.134861904325290.590729412798729
0.259.252968962669620.567135062208794
0.269.365232487804650.547853516399978
0.279.472450641644880.533233350718299
0.289.575463672530020.522671613716457
0.299.675023676841390.514978987210185
0.39.771710097796630.508775980061519
0.319.865892322601130.502759143049143
0.329.957732512244740.495878099582525
0.3310.0472173677290.487418431028947
0.3410.13420661427360.476957755048369
0.3510.2184875368780.464393546817797
0.3610.29982763936610.449855588495699
0.3710.37802031957180.433678895105539
0.3810.45292068985830.416368592622947
0.3910.52447014409210.398528024654039
0.410.59270916049630.380863566925626
0.4110.65777847025560.364046402490595
0.4210.7199094056910.34869907603932
0.4310.77940508981480.335305105362542
0.4410.83661506285320.324137663962585
0.4510.8919067412530.315229184366496
0.4610.94563751535350.308419983735096
0.4710.99813113043270.303346131187586
0.4811.04966122563580.299559824984797
0.4911.1004436549720.29662040269633
0.511.1506377415950.294114376259093
0.5111.20035523215730.291771191605476
0.5211.24967469875360.289464554762991
0.5311.29865864976960.287161740349548
0.5411.34737067813720.285018990195519
0.5511.39589047474960.283176525347045
0.5611.44432525048680.281902460275984
0.5711.49281680585590.281395702487095
0.5811.54154398141840.281909922650291
0.5911.59072044496060.283653197464911
0.611.64058778145040.28677431794948
0.6111.69140380964950.291361054182882
0.6211.74342615301160.297402010822064
0.6311.79689149697490.304749402095193
0.6411.85199170906290.313097283507225
0.6511.90884896780840.321954596997302
0.6611.96749298549820.330670850281445
0.6712.0278439852740.338514331078661
0.6812.08970499747090.344715567253838
0.6912.15276610268880.348573651819011
0.712.21662152435450.349555663251013
0.7112.28079827198580.347346209694531
0.7212.34479287875780.34191736736783
0.7312.4081112701390.333478078877843
0.7412.47030645849680.322495627418397
0.7512.53100981787210.309572680615482
0.7612.58995398439170.295400619152292
0.7712.64698837036390.280650628261886
0.7812.70209103257020.265941338407406
0.7912.75538237954830.25187246443013
0.812.8071464585660.239037654447544
0.8112.85786436139590.228145033179132
0.8212.90826202712760.220106010443091
0.8312.95937165071580.216081757108791
0.8413.01260146348880.217475765028138
0.8513.06980120946410.225875132643249
0.8613.13329846707810.242870965100734
0.8713.20586490775430.269769077067921
0.8813.29055898200720.307023830964459
0.8913.39039922385630.353413000531558
0.913.50787527271810.405219800001414
0.9113.64442529889110.455923437230813
0.9213.80020016644280.497044233922313
0.9313.97463668239760.520729980291739
0.9414.16837662090590.524184184337695
0.9514.38643495891360.515781109376657
0.9614.64051701782780.521621072842754
0.9714.94483996524580.583731934527108
0.9815.29783828747990.728898823802082
0.9915.65143260332430.925163012103845



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')