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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 25 Oct 2008 02:45:47 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/25/t1224924453424uuv5vh70oe0i.htm/, Retrieved Wed, 29 May 2024 02:31:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18666, Retrieved Wed, 29 May 2024 02:31:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact197

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Central Tendency] [Central Tendency ...] [2008-10-19 12:19:28] [7bf6d2d7851fcb8f5756c9eae091d804]
- RMPD  [Harrell-Davis Quantiles] [Quantiles] [2008-10-19 14:44:40] [7bf6d2d7851fcb8f5756c9eae091d804]
-   PD    [Harrell-Davis Quantiles] [Quantiles taak 2] [2008-10-19 15:25:07] [7bf6d2d7851fcb8f5756c9eae091d804]
F   PD      [Harrell-Davis Quantiles] [Waarschijnlijkhei...] [2008-10-20 19:04:47] [4396f984ebeab43316cd6baa88a4fd40]
-   P           [Harrell-Davis Quantiles] [Harrell - Davis Q...] [2008-10-25 08:45:47] [54ae75b68e6a45c6d55fa4235827d5b3] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
110.4
96.4
101.9
106.2
81
94.7
101
109.4
102.3
90.7
96.2
96.1
106
103.1
102
104.7
86
92.1
106.9
112.6
101.7
92
97.4
97
105.4
102.7
98.1
104.5
87.4
89.9
109.8
111.7
98.6
96.9
95.1
97
112.7
102.9
97.4
111.4
87.4
96.8
114.1
110.3
103.9
101.6
94.6
95.9
104.7
102.8
98.1
113.9
80.9
95.7
113.2
105.9
108.8
102.3
99
100.7
115.5
100.7
109.9
114.6
85.4
100.5
114.8
116.5
112.9
102
106
105.3
118.8
106.1
109.3
117.2
92.5
104.2
112.5
122.4
113.3
100
110.7
112.8
109.8
117.3
109.1
115.9
95.7

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18666&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18666&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18666&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 time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.09991.4919233889172.17132378219781
0.10992.23183912038382.05472051607971
0.11992.90121063899641.9236642751103
0.12993.5008328651871.77626955136046
0.13994.03228536551741.61235869342529
0.14994.49782913593961.43782005596858
0.15994.90119532598791.26498507170031
0.16995.24824759396391.10760546421306
0.17995.5469367324280.976403522222873
0.18995.8065879860210.877364814952174
0.19996.03691369525270.811674261475819
0.20996.24715565775740.776903066016619
0.21996.44557608598150.769488252047803
0.22996.63930401814280.786120640555403
0.23996.83440766472470.824270792065406
0.24997.03602621473580.88179833854155
0.25997.24843270379480.956104496435023
0.26997.47497276442541.04327522099872
0.27997.71789720975741.13774057084510
0.28997.97815690822321.23279743364100
0.29998.25524715979051.32119656021913
0.30998.5471774490941.39559006690717
0.31998.8506097516751.45004919176035
0.32999.1611665267171.48021910688524
0.33999.47387018854941.48440940132463
0.34999.78364870390661.46352722810871
0.359100.0858321897851.42024849865608
0.369100.3765730946571.36024886248998
0.379100.6531432646551.28907471774598
0.389100.9140876260791.21359002722636
0.399101.1592387529221.13992296413895
0.409101.3896137572491.07361172629494
0.419101.6072228124801.019437867053
0.429101.8148187455090.980517917488062
0.439102.0156131806740.95889351994582
0.449102.2129805500030.954820673595435
0.459102.4101693470120.966818041755625
0.469102.610040613840.991981831032583
0.479102.8148552941911.02675156142556
0.489103.0261323756591.06603518898894
0.499103.2445965852851.10584572453512
0.509103.4702268236951.14228411086294
0.519103.7024049824641.17249703927688
0.529103.9401509035291.19519265844148
0.539104.1824151836141.21107472706902
0.549104.4283894350681.22196128549007
0.559104.6777852915631.23166459251637
0.569104.9310304898031.24457992045651
0.579105.1893344788041.26505841890527
0.589105.4545890888581.29746807424131
0.599105.7290932227291.34329809604561
0.609106.0151237593561.40159504717838
0.619106.3144137250501.46812099714942
0.629106.6276347378461.53574821739371
0.639106.9540020213761.59527753816437
0.649107.2911154936341.63773209696994
0.659107.6351133899951.65570528878047
0.669107.9811489211411.64504689149573
0.679108.3241197430631.6060979316676
0.689108.6595064629531.54388937127056
0.699108.9841330105071.46718126838936
0.709109.2966645504421.38696687849618
0.719109.5977109520901.31395751677497
0.729109.8894946165281.25683155744673
0.739110.1751486467911.21868012346808
0.749110.4578082303541.19801427570800
0.759110.7397200464661.18752208568332
0.769111.0216041194461.17777952573538
0.779111.3024529588481.15959283753377
0.789111.5798498982871.12643103651139
0.799111.8507521394861.07626760458517
0.809112.1125473161621.01263117940073
0.819112.3640966980530.943703314926217
0.829112.6064615234270.880272144168444
0.839112.8430905113610.833277335212218
0.849113.0794123094250.810010056948222
0.859113.3219747001170.811934964192958
0.869113.5774252914320.834843546741988
0.879113.8516622055110.871080017674473
0.889114.1493659290950.913140789989151
0.899114.4738965024580.955049233531996
0.909114.8273333218280.992133663041804
0.919115.2104778732991.01965645644673
0.929115.6232914250421.03144658746459
0.939116.0679496185221.02338259453341
0.949116.5595666673401.00634571458407
0.959117.1515814194201.03771221495865
0.969117.9724332642641.25077316246269
0.979119.2125027618491.79850184960981
0.989120.8827164532902.68774791318873
0.999122.3161726160183.5104310716265

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.099 & 91.491923388917 & 2.17132378219781 \tabularnewline
0.109 & 92.2318391203838 & 2.05472051607971 \tabularnewline
0.119 & 92.9012106389964 & 1.9236642751103 \tabularnewline
0.129 & 93.500832865187 & 1.77626955136046 \tabularnewline
0.139 & 94.0322853655174 & 1.61235869342529 \tabularnewline
0.149 & 94.4978291359396 & 1.43782005596858 \tabularnewline
0.159 & 94.9011953259879 & 1.26498507170031 \tabularnewline
0.169 & 95.2482475939639 & 1.10760546421306 \tabularnewline
0.179 & 95.546936732428 & 0.976403522222873 \tabularnewline
0.189 & 95.806587986021 & 0.877364814952174 \tabularnewline
0.199 & 96.0369136952527 & 0.811674261475819 \tabularnewline
0.209 & 96.2471556577574 & 0.776903066016619 \tabularnewline
0.219 & 96.4455760859815 & 0.769488252047803 \tabularnewline
0.229 & 96.6393040181428 & 0.786120640555403 \tabularnewline
0.239 & 96.8344076647247 & 0.824270792065406 \tabularnewline
0.249 & 97.0360262147358 & 0.88179833854155 \tabularnewline
0.259 & 97.2484327037948 & 0.956104496435023 \tabularnewline
0.269 & 97.4749727644254 & 1.04327522099872 \tabularnewline
0.279 & 97.7178972097574 & 1.13774057084510 \tabularnewline
0.289 & 97.9781569082232 & 1.23279743364100 \tabularnewline
0.299 & 98.2552471597905 & 1.32119656021913 \tabularnewline
0.309 & 98.547177449094 & 1.39559006690717 \tabularnewline
0.319 & 98.850609751675 & 1.45004919176035 \tabularnewline
0.329 & 99.161166526717 & 1.48021910688524 \tabularnewline
0.339 & 99.4738701885494 & 1.48440940132463 \tabularnewline
0.349 & 99.7836487039066 & 1.46352722810871 \tabularnewline
0.359 & 100.085832189785 & 1.42024849865608 \tabularnewline
0.369 & 100.376573094657 & 1.36024886248998 \tabularnewline
0.379 & 100.653143264655 & 1.28907471774598 \tabularnewline
0.389 & 100.914087626079 & 1.21359002722636 \tabularnewline
0.399 & 101.159238752922 & 1.13992296413895 \tabularnewline
0.409 & 101.389613757249 & 1.07361172629494 \tabularnewline
0.419 & 101.607222812480 & 1.019437867053 \tabularnewline
0.429 & 101.814818745509 & 0.980517917488062 \tabularnewline
0.439 & 102.015613180674 & 0.95889351994582 \tabularnewline
0.449 & 102.212980550003 & 0.954820673595435 \tabularnewline
0.459 & 102.410169347012 & 0.966818041755625 \tabularnewline
0.469 & 102.61004061384 & 0.991981831032583 \tabularnewline
0.479 & 102.814855294191 & 1.02675156142556 \tabularnewline
0.489 & 103.026132375659 & 1.06603518898894 \tabularnewline
0.499 & 103.244596585285 & 1.10584572453512 \tabularnewline
0.509 & 103.470226823695 & 1.14228411086294 \tabularnewline
0.519 & 103.702404982464 & 1.17249703927688 \tabularnewline
0.529 & 103.940150903529 & 1.19519265844148 \tabularnewline
0.539 & 104.182415183614 & 1.21107472706902 \tabularnewline
0.549 & 104.428389435068 & 1.22196128549007 \tabularnewline
0.559 & 104.677785291563 & 1.23166459251637 \tabularnewline
0.569 & 104.931030489803 & 1.24457992045651 \tabularnewline
0.579 & 105.189334478804 & 1.26505841890527 \tabularnewline
0.589 & 105.454589088858 & 1.29746807424131 \tabularnewline
0.599 & 105.729093222729 & 1.34329809604561 \tabularnewline
0.609 & 106.015123759356 & 1.40159504717838 \tabularnewline
0.619 & 106.314413725050 & 1.46812099714942 \tabularnewline
0.629 & 106.627634737846 & 1.53574821739371 \tabularnewline
0.639 & 106.954002021376 & 1.59527753816437 \tabularnewline
0.649 & 107.291115493634 & 1.63773209696994 \tabularnewline
0.659 & 107.635113389995 & 1.65570528878047 \tabularnewline
0.669 & 107.981148921141 & 1.64504689149573 \tabularnewline
0.679 & 108.324119743063 & 1.6060979316676 \tabularnewline
0.689 & 108.659506462953 & 1.54388937127056 \tabularnewline
0.699 & 108.984133010507 & 1.46718126838936 \tabularnewline
0.709 & 109.296664550442 & 1.38696687849618 \tabularnewline
0.719 & 109.597710952090 & 1.31395751677497 \tabularnewline
0.729 & 109.889494616528 & 1.25683155744673 \tabularnewline
0.739 & 110.175148646791 & 1.21868012346808 \tabularnewline
0.749 & 110.457808230354 & 1.19801427570800 \tabularnewline
0.759 & 110.739720046466 & 1.18752208568332 \tabularnewline
0.769 & 111.021604119446 & 1.17777952573538 \tabularnewline
0.779 & 111.302452958848 & 1.15959283753377 \tabularnewline
0.789 & 111.579849898287 & 1.12643103651139 \tabularnewline
0.799 & 111.850752139486 & 1.07626760458517 \tabularnewline
0.809 & 112.112547316162 & 1.01263117940073 \tabularnewline
0.819 & 112.364096698053 & 0.943703314926217 \tabularnewline
0.829 & 112.606461523427 & 0.880272144168444 \tabularnewline
0.839 & 112.843090511361 & 0.833277335212218 \tabularnewline
0.849 & 113.079412309425 & 0.810010056948222 \tabularnewline
0.859 & 113.321974700117 & 0.811934964192958 \tabularnewline
0.869 & 113.577425291432 & 0.834843546741988 \tabularnewline
0.879 & 113.851662205511 & 0.871080017674473 \tabularnewline
0.889 & 114.149365929095 & 0.913140789989151 \tabularnewline
0.899 & 114.473896502458 & 0.955049233531996 \tabularnewline
0.909 & 114.827333321828 & 0.992133663041804 \tabularnewline
0.919 & 115.210477873299 & 1.01965645644673 \tabularnewline
0.929 & 115.623291425042 & 1.03144658746459 \tabularnewline
0.939 & 116.067949618522 & 1.02338259453341 \tabularnewline
0.949 & 116.559566667340 & 1.00634571458407 \tabularnewline
0.959 & 117.151581419420 & 1.03771221495865 \tabularnewline
0.969 & 117.972433264264 & 1.25077316246269 \tabularnewline
0.979 & 119.212502761849 & 1.79850184960981 \tabularnewline
0.989 & 120.882716453290 & 2.68774791318873 \tabularnewline
0.999 & 122.316172616018 & 3.5104310716265 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18666&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.099[/C][C]91.491923388917[/C][C]2.17132378219781[/C][/ROW]
[ROW][C]0.109[/C][C]92.2318391203838[/C][C]2.05472051607971[/C][/ROW]
[ROW][C]0.119[/C][C]92.9012106389964[/C][C]1.9236642751103[/C][/ROW]
[ROW][C]0.129[/C][C]93.500832865187[/C][C]1.77626955136046[/C][/ROW]
[ROW][C]0.139[/C][C]94.0322853655174[/C][C]1.61235869342529[/C][/ROW]
[ROW][C]0.149[/C][C]94.4978291359396[/C][C]1.43782005596858[/C][/ROW]
[ROW][C]0.159[/C][C]94.9011953259879[/C][C]1.26498507170031[/C][/ROW]
[ROW][C]0.169[/C][C]95.2482475939639[/C][C]1.10760546421306[/C][/ROW]
[ROW][C]0.179[/C][C]95.546936732428[/C][C]0.976403522222873[/C][/ROW]
[ROW][C]0.189[/C][C]95.806587986021[/C][C]0.877364814952174[/C][/ROW]
[ROW][C]0.199[/C][C]96.0369136952527[/C][C]0.811674261475819[/C][/ROW]
[ROW][C]0.209[/C][C]96.2471556577574[/C][C]0.776903066016619[/C][/ROW]
[ROW][C]0.219[/C][C]96.4455760859815[/C][C]0.769488252047803[/C][/ROW]
[ROW][C]0.229[/C][C]96.6393040181428[/C][C]0.786120640555403[/C][/ROW]
[ROW][C]0.239[/C][C]96.8344076647247[/C][C]0.824270792065406[/C][/ROW]
[ROW][C]0.249[/C][C]97.0360262147358[/C][C]0.88179833854155[/C][/ROW]
[ROW][C]0.259[/C][C]97.2484327037948[/C][C]0.956104496435023[/C][/ROW]
[ROW][C]0.269[/C][C]97.4749727644254[/C][C]1.04327522099872[/C][/ROW]
[ROW][C]0.279[/C][C]97.7178972097574[/C][C]1.13774057084510[/C][/ROW]
[ROW][C]0.289[/C][C]97.9781569082232[/C][C]1.23279743364100[/C][/ROW]
[ROW][C]0.299[/C][C]98.2552471597905[/C][C]1.32119656021913[/C][/ROW]
[ROW][C]0.309[/C][C]98.547177449094[/C][C]1.39559006690717[/C][/ROW]
[ROW][C]0.319[/C][C]98.850609751675[/C][C]1.45004919176035[/C][/ROW]
[ROW][C]0.329[/C][C]99.161166526717[/C][C]1.48021910688524[/C][/ROW]
[ROW][C]0.339[/C][C]99.4738701885494[/C][C]1.48440940132463[/C][/ROW]
[ROW][C]0.349[/C][C]99.7836487039066[/C][C]1.46352722810871[/C][/ROW]
[ROW][C]0.359[/C][C]100.085832189785[/C][C]1.42024849865608[/C][/ROW]
[ROW][C]0.369[/C][C]100.376573094657[/C][C]1.36024886248998[/C][/ROW]
[ROW][C]0.379[/C][C]100.653143264655[/C][C]1.28907471774598[/C][/ROW]
[ROW][C]0.389[/C][C]100.914087626079[/C][C]1.21359002722636[/C][/ROW]
[ROW][C]0.399[/C][C]101.159238752922[/C][C]1.13992296413895[/C][/ROW]
[ROW][C]0.409[/C][C]101.389613757249[/C][C]1.07361172629494[/C][/ROW]
[ROW][C]0.419[/C][C]101.607222812480[/C][C]1.019437867053[/C][/ROW]
[ROW][C]0.429[/C][C]101.814818745509[/C][C]0.980517917488062[/C][/ROW]
[ROW][C]0.439[/C][C]102.015613180674[/C][C]0.95889351994582[/C][/ROW]
[ROW][C]0.449[/C][C]102.212980550003[/C][C]0.954820673595435[/C][/ROW]
[ROW][C]0.459[/C][C]102.410169347012[/C][C]0.966818041755625[/C][/ROW]
[ROW][C]0.469[/C][C]102.61004061384[/C][C]0.991981831032583[/C][/ROW]
[ROW][C]0.479[/C][C]102.814855294191[/C][C]1.02675156142556[/C][/ROW]
[ROW][C]0.489[/C][C]103.026132375659[/C][C]1.06603518898894[/C][/ROW]
[ROW][C]0.499[/C][C]103.244596585285[/C][C]1.10584572453512[/C][/ROW]
[ROW][C]0.509[/C][C]103.470226823695[/C][C]1.14228411086294[/C][/ROW]
[ROW][C]0.519[/C][C]103.702404982464[/C][C]1.17249703927688[/C][/ROW]
[ROW][C]0.529[/C][C]103.940150903529[/C][C]1.19519265844148[/C][/ROW]
[ROW][C]0.539[/C][C]104.182415183614[/C][C]1.21107472706902[/C][/ROW]
[ROW][C]0.549[/C][C]104.428389435068[/C][C]1.22196128549007[/C][/ROW]
[ROW][C]0.559[/C][C]104.677785291563[/C][C]1.23166459251637[/C][/ROW]
[ROW][C]0.569[/C][C]104.931030489803[/C][C]1.24457992045651[/C][/ROW]
[ROW][C]0.579[/C][C]105.189334478804[/C][C]1.26505841890527[/C][/ROW]
[ROW][C]0.589[/C][C]105.454589088858[/C][C]1.29746807424131[/C][/ROW]
[ROW][C]0.599[/C][C]105.729093222729[/C][C]1.34329809604561[/C][/ROW]
[ROW][C]0.609[/C][C]106.015123759356[/C][C]1.40159504717838[/C][/ROW]
[ROW][C]0.619[/C][C]106.314413725050[/C][C]1.46812099714942[/C][/ROW]
[ROW][C]0.629[/C][C]106.627634737846[/C][C]1.53574821739371[/C][/ROW]
[ROW][C]0.639[/C][C]106.954002021376[/C][C]1.59527753816437[/C][/ROW]
[ROW][C]0.649[/C][C]107.291115493634[/C][C]1.63773209696994[/C][/ROW]
[ROW][C]0.659[/C][C]107.635113389995[/C][C]1.65570528878047[/C][/ROW]
[ROW][C]0.669[/C][C]107.981148921141[/C][C]1.64504689149573[/C][/ROW]
[ROW][C]0.679[/C][C]108.324119743063[/C][C]1.6060979316676[/C][/ROW]
[ROW][C]0.689[/C][C]108.659506462953[/C][C]1.54388937127056[/C][/ROW]
[ROW][C]0.699[/C][C]108.984133010507[/C][C]1.46718126838936[/C][/ROW]
[ROW][C]0.709[/C][C]109.296664550442[/C][C]1.38696687849618[/C][/ROW]
[ROW][C]0.719[/C][C]109.597710952090[/C][C]1.31395751677497[/C][/ROW]
[ROW][C]0.729[/C][C]109.889494616528[/C][C]1.25683155744673[/C][/ROW]
[ROW][C]0.739[/C][C]110.175148646791[/C][C]1.21868012346808[/C][/ROW]
[ROW][C]0.749[/C][C]110.457808230354[/C][C]1.19801427570800[/C][/ROW]
[ROW][C]0.759[/C][C]110.739720046466[/C][C]1.18752208568332[/C][/ROW]
[ROW][C]0.769[/C][C]111.021604119446[/C][C]1.17777952573538[/C][/ROW]
[ROW][C]0.779[/C][C]111.302452958848[/C][C]1.15959283753377[/C][/ROW]
[ROW][C]0.789[/C][C]111.579849898287[/C][C]1.12643103651139[/C][/ROW]
[ROW][C]0.799[/C][C]111.850752139486[/C][C]1.07626760458517[/C][/ROW]
[ROW][C]0.809[/C][C]112.112547316162[/C][C]1.01263117940073[/C][/ROW]
[ROW][C]0.819[/C][C]112.364096698053[/C][C]0.943703314926217[/C][/ROW]
[ROW][C]0.829[/C][C]112.606461523427[/C][C]0.880272144168444[/C][/ROW]
[ROW][C]0.839[/C][C]112.843090511361[/C][C]0.833277335212218[/C][/ROW]
[ROW][C]0.849[/C][C]113.079412309425[/C][C]0.810010056948222[/C][/ROW]
[ROW][C]0.859[/C][C]113.321974700117[/C][C]0.811934964192958[/C][/ROW]
[ROW][C]0.869[/C][C]113.577425291432[/C][C]0.834843546741988[/C][/ROW]
[ROW][C]0.879[/C][C]113.851662205511[/C][C]0.871080017674473[/C][/ROW]
[ROW][C]0.889[/C][C]114.149365929095[/C][C]0.913140789989151[/C][/ROW]
[ROW][C]0.899[/C][C]114.473896502458[/C][C]0.955049233531996[/C][/ROW]
[ROW][C]0.909[/C][C]114.827333321828[/C][C]0.992133663041804[/C][/ROW]
[ROW][C]0.919[/C][C]115.210477873299[/C][C]1.01965645644673[/C][/ROW]
[ROW][C]0.929[/C][C]115.623291425042[/C][C]1.03144658746459[/C][/ROW]
[ROW][C]0.939[/C][C]116.067949618522[/C][C]1.02338259453341[/C][/ROW]
[ROW][C]0.949[/C][C]116.559566667340[/C][C]1.00634571458407[/C][/ROW]
[ROW][C]0.959[/C][C]117.151581419420[/C][C]1.03771221495865[/C][/ROW]
[ROW][C]0.969[/C][C]117.972433264264[/C][C]1.25077316246269[/C][/ROW]
[ROW][C]0.979[/C][C]119.212502761849[/C][C]1.79850184960981[/C][/ROW]
[ROW][C]0.989[/C][C]120.882716453290[/C][C]2.68774791318873[/C][/ROW]
[ROW][C]0.999[/C][C]122.316172616018[/C][C]3.5104310716265[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18666&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18666&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
0.09991.4919233889172.17132378219781
0.10992.23183912038382.05472051607971
0.11992.90121063899641.9236642751103
0.12993.5008328651871.77626955136046
0.13994.03228536551741.61235869342529
0.14994.49782913593961.43782005596858
0.15994.90119532598791.26498507170031
0.16995.24824759396391.10760546421306
0.17995.5469367324280.976403522222873
0.18995.8065879860210.877364814952174
0.19996.03691369525270.811674261475819
0.20996.24715565775740.776903066016619
0.21996.44557608598150.769488252047803
0.22996.63930401814280.786120640555403
0.23996.83440766472470.824270792065406
0.24997.03602621473580.88179833854155
0.25997.24843270379480.956104496435023
0.26997.47497276442541.04327522099872
0.27997.71789720975741.13774057084510
0.28997.97815690822321.23279743364100
0.29998.25524715979051.32119656021913
0.30998.5471774490941.39559006690717
0.31998.8506097516751.45004919176035
0.32999.1611665267171.48021910688524
0.33999.47387018854941.48440940132463
0.34999.78364870390661.46352722810871
0.359100.0858321897851.42024849865608
0.369100.3765730946571.36024886248998
0.379100.6531432646551.28907471774598
0.389100.9140876260791.21359002722636
0.399101.1592387529221.13992296413895
0.409101.3896137572491.07361172629494
0.419101.6072228124801.019437867053
0.429101.8148187455090.980517917488062
0.439102.0156131806740.95889351994582
0.449102.2129805500030.954820673595435
0.459102.4101693470120.966818041755625
0.469102.610040613840.991981831032583
0.479102.8148552941911.02675156142556
0.489103.0261323756591.06603518898894
0.499103.2445965852851.10584572453512
0.509103.4702268236951.14228411086294
0.519103.7024049824641.17249703927688
0.529103.9401509035291.19519265844148
0.539104.1824151836141.21107472706902
0.549104.4283894350681.22196128549007
0.559104.6777852915631.23166459251637
0.569104.9310304898031.24457992045651
0.579105.1893344788041.26505841890527
0.589105.4545890888581.29746807424131
0.599105.7290932227291.34329809604561
0.609106.0151237593561.40159504717838
0.619106.3144137250501.46812099714942
0.629106.6276347378461.53574821739371
0.639106.9540020213761.59527753816437
0.649107.2911154936341.63773209696994
0.659107.6351133899951.65570528878047
0.669107.9811489211411.64504689149573
0.679108.3241197430631.6060979316676
0.689108.6595064629531.54388937127056
0.699108.9841330105071.46718126838936
0.709109.2966645504421.38696687849618
0.719109.5977109520901.31395751677497
0.729109.8894946165281.25683155744673
0.739110.1751486467911.21868012346808
0.749110.4578082303541.19801427570800
0.759110.7397200464661.18752208568332
0.769111.0216041194461.17777952573538
0.779111.3024529588481.15959283753377
0.789111.5798498982871.12643103651139
0.799111.8507521394861.07626760458517
0.809112.1125473161621.01263117940073
0.819112.3640966980530.943703314926217
0.829112.6064615234270.880272144168444
0.839112.8430905113610.833277335212218
0.849113.0794123094250.810010056948222
0.859113.3219747001170.811934964192958
0.869113.5774252914320.834843546741988
0.879113.8516622055110.871080017674473
0.889114.1493659290950.913140789989151
0.899114.4738965024580.955049233531996
0.909114.8273333218280.992133663041804
0.919115.2104778732991.01965645644673
0.929115.6232914250421.03144658746459
0.939116.0679496185221.02338259453341
0.949116.5595666673401.00634571458407
0.959117.1515814194201.03771221495865
0.969117.9724332642641.25077316246269
0.979119.2125027618491.79850184960981
0.989120.8827164532902.68774791318873
0.999122.3161726160183.5104310716265


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.099 ; par2 = 0.9999 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.099 ; par2 = 0.9999 ; 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')