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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 computationSun, 16 Aug 2009 07:22:57 -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/2009/Aug/16/t1250428994v7w1naz39921udw.htm/, Retrieved Sun, 05 May 2024 08:47:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42625, Retrieved Sun, 05 May 2024 08:47:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact155

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [] [2009-08-16 10:56:48] [f85cc8f00ef4b762f0a6fdfddc793773]
- RM D    [Harrell-Davis Quantiles] [] [2009-08-16 13:22:57] [e921d89db97faa9283224ee60d8fb091] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
105,46
104,66
103,52
103,71
103,78
103,67
103,66
102,76
102
101,5
101,5
99,22
98,97
98,9
99,78
104,4
106,21
105,46
108,33
111,72
111,88
112,86
113,09
116,9
114,62
118,86
124,71
122,53
127,89
136,16
134,12
130,26
135,35
131,43
129,61
123,96
121,1
125,38
123,1
129,92
136,68
131,17
124,82
122,47
126,15
118,74
116,8
116,64
116,53
117,68
119,46
126,19
124,39
121,9
122,53
122,93
124,66
124,41
120,93
120,18
123,44
126,1
125,82
122,18
117,27
117,86
119,09
123,08
125,42
121,81
121,66
121,27
120,92
122,16
124,17
127,26
134,16
134,09
135,57
136,13
136,23
140,6
136,5
130,59
129,5
135,25
138,06
146,28
145,04
147,96
156,71
160,97
168,17
163,91
153,05
151,76

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42625&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42625&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42625&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0199.00989572916350.266773276781874
0.0299.30040195548730.650275183088788
0.0399.77320417578041.01299818153467
0.04100.3656628922151.21444063270914
0.05100.9917031535901.25109397813518
0.06101.585721520551.19808977219961
0.07102.1171881634781.11707132771799
0.08102.5814184260831.03164593497683
0.09102.9871589755560.958661321267035
0.1103.3510540117370.930608717719106
0.11103.6967171237330.987928921449753
0.12104.0534293915201.15643308264242
0.13104.4526290810881.43568603745630
0.14104.9231807188061.80642321742163
0.15105.4869685874092.23769523705726
0.16106.1557240787632.69005013958513
0.17106.9294176684593.11854645993157
0.18107.7963364688883.48018520858706
0.19108.734852563563.74034094017350
0.2109.7166279946443.87924817607329
0.21110.7106511829153.89393081168266
0.22111.6872753619053.79722757733761
0.23112.6214860128853.61180869466366
0.24113.4949311714323.36611075951722
0.25114.2966389714553.08841138060783
0.26115.0226472858252.80437019257012
0.27115.6749002903652.53518259208364
0.28116.2597523671742.29644190014976
0.29116.7863404217442.09791044980655
0.3117.2650098528691.94284074994287
0.31117.7059323216071.82851313967975
0.32118.1180240322651.74729511036707
0.33118.5082400045021.68868686956674
0.34118.8812721582551.64143841225934
0.35119.2396225289541.59647857337772
0.36119.5839721070911.54621787743359
0.37119.9137337879511.48705851690070
0.38120.2276702814061.41803652224948
0.39120.5244721553941.34061731644740
0.4120.8032201447341.25841357606837
0.41121.0636907190141.17531199131718
0.42121.3064969216961.09639284014846
0.43121.5330821198841.02556743657190
0.44121.7455997434990.96642211761264
0.45121.9467174235240.920874132718404
0.46122.1393816936840.89029063141049
0.47122.326573490330.873891058363879
0.48122.5110787858370.870517622766844
0.49122.6952949500400.877448851624566
0.5122.8810917281340.891819365532481
0.51123.0697440581620.910038911810495
0.52123.2619497150610.929137857654002
0.53123.4579362697530.946850675626012
0.54123.6576494143570.962520016785803
0.55123.8610007801660.976040269718324
0.56124.0681415781870.989660313685091
0.57124.2797218970341.00646978969823
0.58124.4970956112851.03034846936326
0.59124.7224366179241.06597170447296
0.6124.9587412247531.11725573272911
0.61125.2097021688181.18732896306010
0.62125.4794522368511.27753110427077
0.63125.7721921336181.38673281508107
0.64126.0917402311821.51184990066905
0.65126.4410694249651.64697547825185
0.66126.8219202396751.78476723039003
0.67127.2345855642071.91698880627783
0.68127.6779370021742.03657770949438
0.69128.1497010909312.13867696141943
0.7128.6469080683842.22151071317093
0.71129.1663571433562.28624175513456
0.72129.7049096108852.33594755050960
0.73130.2594641362712.37229197593926
0.74130.8265879163832.39490479548384
0.75131.4019371436652.3988100007552
0.76131.9797379132872.37631011730476
0.77132.5526537270932.3196336262096
0.78133.1123110267452.22408536309434
0.79133.6506129526102.09195488834474
0.8134.1618036879561.93419898006669
0.81134.6451061806381.77159878429281
0.82135.1076479843771.63573488711776
0.83135.5672508407191.56927872982906
0.84136.0544105556211.62302271665445
0.85136.6124511836651.84202441644073
0.86137.2946271051332.24512463535039
0.87138.1572985408162.81161639909040
0.88139.2496110168643.48132720323438
0.89140.6022559614964.16135227682701
0.9142.2199011984184.7474921595643
0.91144.0821636218145.15778128095362
0.92146.1553600536345.36564459625501
0.93148.4119405123395.41119687738058
0.94150.8481767857665.37981050747194
0.95153.4867730317205.34270062524559
0.96156.3574007883365.2690224884383
0.97159.4706284762484.99741081353321
0.98162.7897281328514.44460543140108
0.99166.0319088196014.03870898133394

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 99.0098957291635 & 0.266773276781874 \tabularnewline
0.02 & 99.3004019554873 & 0.650275183088788 \tabularnewline
0.03 & 99.7732041757804 & 1.01299818153467 \tabularnewline
0.04 & 100.365662892215 & 1.21444063270914 \tabularnewline
0.05 & 100.991703153590 & 1.25109397813518 \tabularnewline
0.06 & 101.58572152055 & 1.19808977219961 \tabularnewline
0.07 & 102.117188163478 & 1.11707132771799 \tabularnewline
0.08 & 102.581418426083 & 1.03164593497683 \tabularnewline
0.09 & 102.987158975556 & 0.958661321267035 \tabularnewline
0.1 & 103.351054011737 & 0.930608717719106 \tabularnewline
0.11 & 103.696717123733 & 0.987928921449753 \tabularnewline
0.12 & 104.053429391520 & 1.15643308264242 \tabularnewline
0.13 & 104.452629081088 & 1.43568603745630 \tabularnewline
0.14 & 104.923180718806 & 1.80642321742163 \tabularnewline
0.15 & 105.486968587409 & 2.23769523705726 \tabularnewline
0.16 & 106.155724078763 & 2.69005013958513 \tabularnewline
0.17 & 106.929417668459 & 3.11854645993157 \tabularnewline
0.18 & 107.796336468888 & 3.48018520858706 \tabularnewline
0.19 & 108.73485256356 & 3.74034094017350 \tabularnewline
0.2 & 109.716627994644 & 3.87924817607329 \tabularnewline
0.21 & 110.710651182915 & 3.89393081168266 \tabularnewline
0.22 & 111.687275361905 & 3.79722757733761 \tabularnewline
0.23 & 112.621486012885 & 3.61180869466366 \tabularnewline
0.24 & 113.494931171432 & 3.36611075951722 \tabularnewline
0.25 & 114.296638971455 & 3.08841138060783 \tabularnewline
0.26 & 115.022647285825 & 2.80437019257012 \tabularnewline
0.27 & 115.674900290365 & 2.53518259208364 \tabularnewline
0.28 & 116.259752367174 & 2.29644190014976 \tabularnewline
0.29 & 116.786340421744 & 2.09791044980655 \tabularnewline
0.3 & 117.265009852869 & 1.94284074994287 \tabularnewline
0.31 & 117.705932321607 & 1.82851313967975 \tabularnewline
0.32 & 118.118024032265 & 1.74729511036707 \tabularnewline
0.33 & 118.508240004502 & 1.68868686956674 \tabularnewline
0.34 & 118.881272158255 & 1.64143841225934 \tabularnewline
0.35 & 119.239622528954 & 1.59647857337772 \tabularnewline
0.36 & 119.583972107091 & 1.54621787743359 \tabularnewline
0.37 & 119.913733787951 & 1.48705851690070 \tabularnewline
0.38 & 120.227670281406 & 1.41803652224948 \tabularnewline
0.39 & 120.524472155394 & 1.34061731644740 \tabularnewline
0.4 & 120.803220144734 & 1.25841357606837 \tabularnewline
0.41 & 121.063690719014 & 1.17531199131718 \tabularnewline
0.42 & 121.306496921696 & 1.09639284014846 \tabularnewline
0.43 & 121.533082119884 & 1.02556743657190 \tabularnewline
0.44 & 121.745599743499 & 0.96642211761264 \tabularnewline
0.45 & 121.946717423524 & 0.920874132718404 \tabularnewline
0.46 & 122.139381693684 & 0.89029063141049 \tabularnewline
0.47 & 122.32657349033 & 0.873891058363879 \tabularnewline
0.48 & 122.511078785837 & 0.870517622766844 \tabularnewline
0.49 & 122.695294950040 & 0.877448851624566 \tabularnewline
0.5 & 122.881091728134 & 0.891819365532481 \tabularnewline
0.51 & 123.069744058162 & 0.910038911810495 \tabularnewline
0.52 & 123.261949715061 & 0.929137857654002 \tabularnewline
0.53 & 123.457936269753 & 0.946850675626012 \tabularnewline
0.54 & 123.657649414357 & 0.962520016785803 \tabularnewline
0.55 & 123.861000780166 & 0.976040269718324 \tabularnewline
0.56 & 124.068141578187 & 0.989660313685091 \tabularnewline
0.57 & 124.279721897034 & 1.00646978969823 \tabularnewline
0.58 & 124.497095611285 & 1.03034846936326 \tabularnewline
0.59 & 124.722436617924 & 1.06597170447296 \tabularnewline
0.6 & 124.958741224753 & 1.11725573272911 \tabularnewline
0.61 & 125.209702168818 & 1.18732896306010 \tabularnewline
0.62 & 125.479452236851 & 1.27753110427077 \tabularnewline
0.63 & 125.772192133618 & 1.38673281508107 \tabularnewline
0.64 & 126.091740231182 & 1.51184990066905 \tabularnewline
0.65 & 126.441069424965 & 1.64697547825185 \tabularnewline
0.66 & 126.821920239675 & 1.78476723039003 \tabularnewline
0.67 & 127.234585564207 & 1.91698880627783 \tabularnewline
0.68 & 127.677937002174 & 2.03657770949438 \tabularnewline
0.69 & 128.149701090931 & 2.13867696141943 \tabularnewline
0.7 & 128.646908068384 & 2.22151071317093 \tabularnewline
0.71 & 129.166357143356 & 2.28624175513456 \tabularnewline
0.72 & 129.704909610885 & 2.33594755050960 \tabularnewline
0.73 & 130.259464136271 & 2.37229197593926 \tabularnewline
0.74 & 130.826587916383 & 2.39490479548384 \tabularnewline
0.75 & 131.401937143665 & 2.3988100007552 \tabularnewline
0.76 & 131.979737913287 & 2.37631011730476 \tabularnewline
0.77 & 132.552653727093 & 2.3196336262096 \tabularnewline
0.78 & 133.112311026745 & 2.22408536309434 \tabularnewline
0.79 & 133.650612952610 & 2.09195488834474 \tabularnewline
0.8 & 134.161803687956 & 1.93419898006669 \tabularnewline
0.81 & 134.645106180638 & 1.77159878429281 \tabularnewline
0.82 & 135.107647984377 & 1.63573488711776 \tabularnewline
0.83 & 135.567250840719 & 1.56927872982906 \tabularnewline
0.84 & 136.054410555621 & 1.62302271665445 \tabularnewline
0.85 & 136.612451183665 & 1.84202441644073 \tabularnewline
0.86 & 137.294627105133 & 2.24512463535039 \tabularnewline
0.87 & 138.157298540816 & 2.81161639909040 \tabularnewline
0.88 & 139.249611016864 & 3.48132720323438 \tabularnewline
0.89 & 140.602255961496 & 4.16135227682701 \tabularnewline
0.9 & 142.219901198418 & 4.7474921595643 \tabularnewline
0.91 & 144.082163621814 & 5.15778128095362 \tabularnewline
0.92 & 146.155360053634 & 5.36564459625501 \tabularnewline
0.93 & 148.411940512339 & 5.41119687738058 \tabularnewline
0.94 & 150.848176785766 & 5.37981050747194 \tabularnewline
0.95 & 153.486773031720 & 5.34270062524559 \tabularnewline
0.96 & 156.357400788336 & 5.2690224884383 \tabularnewline
0.97 & 159.470628476248 & 4.99741081353321 \tabularnewline
0.98 & 162.789728132851 & 4.44460543140108 \tabularnewline
0.99 & 166.031908819601 & 4.03870898133394 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42625&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]99.0098957291635[/C][C]0.266773276781874[/C][/ROW]
[ROW][C]0.02[/C][C]99.3004019554873[/C][C]0.650275183088788[/C][/ROW]
[ROW][C]0.03[/C][C]99.7732041757804[/C][C]1.01299818153467[/C][/ROW]
[ROW][C]0.04[/C][C]100.365662892215[/C][C]1.21444063270914[/C][/ROW]
[ROW][C]0.05[/C][C]100.991703153590[/C][C]1.25109397813518[/C][/ROW]
[ROW][C]0.06[/C][C]101.58572152055[/C][C]1.19808977219961[/C][/ROW]
[ROW][C]0.07[/C][C]102.117188163478[/C][C]1.11707132771799[/C][/ROW]
[ROW][C]0.08[/C][C]102.581418426083[/C][C]1.03164593497683[/C][/ROW]
[ROW][C]0.09[/C][C]102.987158975556[/C][C]0.958661321267035[/C][/ROW]
[ROW][C]0.1[/C][C]103.351054011737[/C][C]0.930608717719106[/C][/ROW]
[ROW][C]0.11[/C][C]103.696717123733[/C][C]0.987928921449753[/C][/ROW]
[ROW][C]0.12[/C][C]104.053429391520[/C][C]1.15643308264242[/C][/ROW]
[ROW][C]0.13[/C][C]104.452629081088[/C][C]1.43568603745630[/C][/ROW]
[ROW][C]0.14[/C][C]104.923180718806[/C][C]1.80642321742163[/C][/ROW]
[ROW][C]0.15[/C][C]105.486968587409[/C][C]2.23769523705726[/C][/ROW]
[ROW][C]0.16[/C][C]106.155724078763[/C][C]2.69005013958513[/C][/ROW]
[ROW][C]0.17[/C][C]106.929417668459[/C][C]3.11854645993157[/C][/ROW]
[ROW][C]0.18[/C][C]107.796336468888[/C][C]3.48018520858706[/C][/ROW]
[ROW][C]0.19[/C][C]108.73485256356[/C][C]3.74034094017350[/C][/ROW]
[ROW][C]0.2[/C][C]109.716627994644[/C][C]3.87924817607329[/C][/ROW]
[ROW][C]0.21[/C][C]110.710651182915[/C][C]3.89393081168266[/C][/ROW]
[ROW][C]0.22[/C][C]111.687275361905[/C][C]3.79722757733761[/C][/ROW]
[ROW][C]0.23[/C][C]112.621486012885[/C][C]3.61180869466366[/C][/ROW]
[ROW][C]0.24[/C][C]113.494931171432[/C][C]3.36611075951722[/C][/ROW]
[ROW][C]0.25[/C][C]114.296638971455[/C][C]3.08841138060783[/C][/ROW]
[ROW][C]0.26[/C][C]115.022647285825[/C][C]2.80437019257012[/C][/ROW]
[ROW][C]0.27[/C][C]115.674900290365[/C][C]2.53518259208364[/C][/ROW]
[ROW][C]0.28[/C][C]116.259752367174[/C][C]2.29644190014976[/C][/ROW]
[ROW][C]0.29[/C][C]116.786340421744[/C][C]2.09791044980655[/C][/ROW]
[ROW][C]0.3[/C][C]117.265009852869[/C][C]1.94284074994287[/C][/ROW]
[ROW][C]0.31[/C][C]117.705932321607[/C][C]1.82851313967975[/C][/ROW]
[ROW][C]0.32[/C][C]118.118024032265[/C][C]1.74729511036707[/C][/ROW]
[ROW][C]0.33[/C][C]118.508240004502[/C][C]1.68868686956674[/C][/ROW]
[ROW][C]0.34[/C][C]118.881272158255[/C][C]1.64143841225934[/C][/ROW]
[ROW][C]0.35[/C][C]119.239622528954[/C][C]1.59647857337772[/C][/ROW]
[ROW][C]0.36[/C][C]119.583972107091[/C][C]1.54621787743359[/C][/ROW]
[ROW][C]0.37[/C][C]119.913733787951[/C][C]1.48705851690070[/C][/ROW]
[ROW][C]0.38[/C][C]120.227670281406[/C][C]1.41803652224948[/C][/ROW]
[ROW][C]0.39[/C][C]120.524472155394[/C][C]1.34061731644740[/C][/ROW]
[ROW][C]0.4[/C][C]120.803220144734[/C][C]1.25841357606837[/C][/ROW]
[ROW][C]0.41[/C][C]121.063690719014[/C][C]1.17531199131718[/C][/ROW]
[ROW][C]0.42[/C][C]121.306496921696[/C][C]1.09639284014846[/C][/ROW]
[ROW][C]0.43[/C][C]121.533082119884[/C][C]1.02556743657190[/C][/ROW]
[ROW][C]0.44[/C][C]121.745599743499[/C][C]0.96642211761264[/C][/ROW]
[ROW][C]0.45[/C][C]121.946717423524[/C][C]0.920874132718404[/C][/ROW]
[ROW][C]0.46[/C][C]122.139381693684[/C][C]0.89029063141049[/C][/ROW]
[ROW][C]0.47[/C][C]122.32657349033[/C][C]0.873891058363879[/C][/ROW]
[ROW][C]0.48[/C][C]122.511078785837[/C][C]0.870517622766844[/C][/ROW]
[ROW][C]0.49[/C][C]122.695294950040[/C][C]0.877448851624566[/C][/ROW]
[ROW][C]0.5[/C][C]122.881091728134[/C][C]0.891819365532481[/C][/ROW]
[ROW][C]0.51[/C][C]123.069744058162[/C][C]0.910038911810495[/C][/ROW]
[ROW][C]0.52[/C][C]123.261949715061[/C][C]0.929137857654002[/C][/ROW]
[ROW][C]0.53[/C][C]123.457936269753[/C][C]0.946850675626012[/C][/ROW]
[ROW][C]0.54[/C][C]123.657649414357[/C][C]0.962520016785803[/C][/ROW]
[ROW][C]0.55[/C][C]123.861000780166[/C][C]0.976040269718324[/C][/ROW]
[ROW][C]0.56[/C][C]124.068141578187[/C][C]0.989660313685091[/C][/ROW]
[ROW][C]0.57[/C][C]124.279721897034[/C][C]1.00646978969823[/C][/ROW]
[ROW][C]0.58[/C][C]124.497095611285[/C][C]1.03034846936326[/C][/ROW]
[ROW][C]0.59[/C][C]124.722436617924[/C][C]1.06597170447296[/C][/ROW]
[ROW][C]0.6[/C][C]124.958741224753[/C][C]1.11725573272911[/C][/ROW]
[ROW][C]0.61[/C][C]125.209702168818[/C][C]1.18732896306010[/C][/ROW]
[ROW][C]0.62[/C][C]125.479452236851[/C][C]1.27753110427077[/C][/ROW]
[ROW][C]0.63[/C][C]125.772192133618[/C][C]1.38673281508107[/C][/ROW]
[ROW][C]0.64[/C][C]126.091740231182[/C][C]1.51184990066905[/C][/ROW]
[ROW][C]0.65[/C][C]126.441069424965[/C][C]1.64697547825185[/C][/ROW]
[ROW][C]0.66[/C][C]126.821920239675[/C][C]1.78476723039003[/C][/ROW]
[ROW][C]0.67[/C][C]127.234585564207[/C][C]1.91698880627783[/C][/ROW]
[ROW][C]0.68[/C][C]127.677937002174[/C][C]2.03657770949438[/C][/ROW]
[ROW][C]0.69[/C][C]128.149701090931[/C][C]2.13867696141943[/C][/ROW]
[ROW][C]0.7[/C][C]128.646908068384[/C][C]2.22151071317093[/C][/ROW]
[ROW][C]0.71[/C][C]129.166357143356[/C][C]2.28624175513456[/C][/ROW]
[ROW][C]0.72[/C][C]129.704909610885[/C][C]2.33594755050960[/C][/ROW]
[ROW][C]0.73[/C][C]130.259464136271[/C][C]2.37229197593926[/C][/ROW]
[ROW][C]0.74[/C][C]130.826587916383[/C][C]2.39490479548384[/C][/ROW]
[ROW][C]0.75[/C][C]131.401937143665[/C][C]2.3988100007552[/C][/ROW]
[ROW][C]0.76[/C][C]131.979737913287[/C][C]2.37631011730476[/C][/ROW]
[ROW][C]0.77[/C][C]132.552653727093[/C][C]2.3196336262096[/C][/ROW]
[ROW][C]0.78[/C][C]133.112311026745[/C][C]2.22408536309434[/C][/ROW]
[ROW][C]0.79[/C][C]133.650612952610[/C][C]2.09195488834474[/C][/ROW]
[ROW][C]0.8[/C][C]134.161803687956[/C][C]1.93419898006669[/C][/ROW]
[ROW][C]0.81[/C][C]134.645106180638[/C][C]1.77159878429281[/C][/ROW]
[ROW][C]0.82[/C][C]135.107647984377[/C][C]1.63573488711776[/C][/ROW]
[ROW][C]0.83[/C][C]135.567250840719[/C][C]1.56927872982906[/C][/ROW]
[ROW][C]0.84[/C][C]136.054410555621[/C][C]1.62302271665445[/C][/ROW]
[ROW][C]0.85[/C][C]136.612451183665[/C][C]1.84202441644073[/C][/ROW]
[ROW][C]0.86[/C][C]137.294627105133[/C][C]2.24512463535039[/C][/ROW]
[ROW][C]0.87[/C][C]138.157298540816[/C][C]2.81161639909040[/C][/ROW]
[ROW][C]0.88[/C][C]139.249611016864[/C][C]3.48132720323438[/C][/ROW]
[ROW][C]0.89[/C][C]140.602255961496[/C][C]4.16135227682701[/C][/ROW]
[ROW][C]0.9[/C][C]142.219901198418[/C][C]4.7474921595643[/C][/ROW]
[ROW][C]0.91[/C][C]144.082163621814[/C][C]5.15778128095362[/C][/ROW]
[ROW][C]0.92[/C][C]146.155360053634[/C][C]5.36564459625501[/C][/ROW]
[ROW][C]0.93[/C][C]148.411940512339[/C][C]5.41119687738058[/C][/ROW]
[ROW][C]0.94[/C][C]150.848176785766[/C][C]5.37981050747194[/C][/ROW]
[ROW][C]0.95[/C][C]153.486773031720[/C][C]5.34270062524559[/C][/ROW]
[ROW][C]0.96[/C][C]156.357400788336[/C][C]5.2690224884383[/C][/ROW]
[ROW][C]0.97[/C][C]159.470628476248[/C][C]4.99741081353321[/C][/ROW]
[ROW][C]0.98[/C][C]162.789728132851[/C][C]4.44460543140108[/C][/ROW]
[ROW][C]0.99[/C][C]166.031908819601[/C][C]4.03870898133394[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42625&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42625&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
0.0199.00989572916350.266773276781874
0.0299.30040195548730.650275183088788
0.0399.77320417578041.01299818153467
0.04100.3656628922151.21444063270914
0.05100.9917031535901.25109397813518
0.06101.585721520551.19808977219961
0.07102.1171881634781.11707132771799
0.08102.5814184260831.03164593497683
0.09102.9871589755560.958661321267035
0.1103.3510540117370.930608717719106
0.11103.6967171237330.987928921449753
0.12104.0534293915201.15643308264242
0.13104.4526290810881.43568603745630
0.14104.9231807188061.80642321742163
0.15105.4869685874092.23769523705726
0.16106.1557240787632.69005013958513
0.17106.9294176684593.11854645993157
0.18107.7963364688883.48018520858706
0.19108.734852563563.74034094017350
0.2109.7166279946443.87924817607329
0.21110.7106511829153.89393081168266
0.22111.6872753619053.79722757733761
0.23112.6214860128853.61180869466366
0.24113.4949311714323.36611075951722
0.25114.2966389714553.08841138060783
0.26115.0226472858252.80437019257012
0.27115.6749002903652.53518259208364
0.28116.2597523671742.29644190014976
0.29116.7863404217442.09791044980655
0.3117.2650098528691.94284074994287
0.31117.7059323216071.82851313967975
0.32118.1180240322651.74729511036707
0.33118.5082400045021.68868686956674
0.34118.8812721582551.64143841225934
0.35119.2396225289541.59647857337772
0.36119.5839721070911.54621787743359
0.37119.9137337879511.48705851690070
0.38120.2276702814061.41803652224948
0.39120.5244721553941.34061731644740
0.4120.8032201447341.25841357606837
0.41121.0636907190141.17531199131718
0.42121.3064969216961.09639284014846
0.43121.5330821198841.02556743657190
0.44121.7455997434990.96642211761264
0.45121.9467174235240.920874132718404
0.46122.1393816936840.89029063141049
0.47122.326573490330.873891058363879
0.48122.5110787858370.870517622766844
0.49122.6952949500400.877448851624566
0.5122.8810917281340.891819365532481
0.51123.0697440581620.910038911810495
0.52123.2619497150610.929137857654002
0.53123.4579362697530.946850675626012
0.54123.6576494143570.962520016785803
0.55123.8610007801660.976040269718324
0.56124.0681415781870.989660313685091
0.57124.2797218970341.00646978969823
0.58124.4970956112851.03034846936326
0.59124.7224366179241.06597170447296
0.6124.9587412247531.11725573272911
0.61125.2097021688181.18732896306010
0.62125.4794522368511.27753110427077
0.63125.7721921336181.38673281508107
0.64126.0917402311821.51184990066905
0.65126.4410694249651.64697547825185
0.66126.8219202396751.78476723039003
0.67127.2345855642071.91698880627783
0.68127.6779370021742.03657770949438
0.69128.1497010909312.13867696141943
0.7128.6469080683842.22151071317093
0.71129.1663571433562.28624175513456
0.72129.7049096108852.33594755050960
0.73130.2594641362712.37229197593926
0.74130.8265879163832.39490479548384
0.75131.4019371436652.3988100007552
0.76131.9797379132872.37631011730476
0.77132.5526537270932.3196336262096
0.78133.1123110267452.22408536309434
0.79133.6506129526102.09195488834474
0.8134.1618036879561.93419898006669
0.81134.6451061806381.77159878429281
0.82135.1076479843771.63573488711776
0.83135.5672508407191.56927872982906
0.84136.0544105556211.62302271665445
0.85136.6124511836651.84202441644073
0.86137.2946271051332.24512463535039
0.87138.1572985408162.81161639909040
0.88139.2496110168643.48132720323438
0.89140.6022559614964.16135227682701
0.9142.2199011984184.7474921595643
0.91144.0821636218145.15778128095362
0.92146.1553600536345.36564459625501
0.93148.4119405123395.41119687738058
0.94150.8481767857665.37981050747194
0.95153.4867730317205.34270062524559
0.96156.3574007883365.2690224884383
0.97159.4706284762484.99741081353321
0.98162.7897281328514.44460543140108
0.99166.0319088196014.03870898133394


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
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')