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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 computationSat, 27 Feb 2016 19:26:00 +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/2016/Feb/27/t1456601204m00ckltbzpgts9m.htm/, Retrieved Tue, 21 Apr 2026 12:25:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292934, Retrieved Tue, 21 Apr 2026 12:25:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsopgave 4
Estimated Impact336

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] [harrell-davis ben...] [2016-02-27 19:26:00] [8fd6d867e46a5221be3e0a22eb2f8c7a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
93,41
93
96,61
99,69
101,05
98
97,32
97,83
99,57
97,63
96,68
96,28
99,81
101,43
105,59
108,86
104,01
101,95
101,52
105,61
108,43
105,54
100,11
99,93
99,88
102,71
101,89
101,93
99,49
99,87
100,33
101,5
102,29
97,04
95,71
97,37
96,51
96,33
96,88
97,59
98,96
99,93
101,34
98,04
98,56
96,73
92,36
87,88
79,84
82,91
87,78
89,36
91,86
92,48
93,4
89,97
83,96
82,76
82,97
81,07

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292934&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292934&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292934&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0180.1903802738831.23756889989217
0.0280.74518755464641.27415924602647
0.0381.37341889957651.28098880815411
0.0481.99128764994061.28703836275205
0.0582.57796539069781.38019179082894
0.0683.15213892661671.60614217834215
0.0783.7440581074991.92482934505742
0.0884.37656673618772.25975165847844
0.0985.05704879823332.54520498180292
0.185.77786631797152.74200599220648
0.1186.52154013429662.8389851958403
0.1287.2671316381922.84659375793883
0.1387.995418141742.78667686376349
0.1488.6918638011762.68355015691794
0.1589.34750404214462.55790743830369
0.1689.95843070428612.42444897129324
0.1790.52463961992072.29372118362611
0.1891.04879016665682.17260056754929
0.1991.53514284464432.06664816976255
0.291.9887251942521.97933867668894
0.2192.41467507281881.91178489728435
0.2292.81770348398481.86211854177612
0.2393.20165871811191.824890317673
0.2493.56921457326291.79268088980013
0.2593.92172202916621.75743839416397
0.2694.25925109563181.71138662068613
0.2794.58081735471481.6499666069371
0.2894.88475129507221.57046917513243
0.2995.16914149258671.47386072747153
0.395.4322727711151.36350365265345
0.3195.67298869926521.24438043607438
0.3295.89092983423791.12272762771903
0.3396.08662787123881.00464430575899
0.3496.26146388180360.895706404163589
0.3596.41752036878750.800175802373784
0.3696.55736882698930.720752704553795
0.3796.68383651123950.658678491330504
0.3896.79978995775290.613377919797568
0.3996.90796147286550.583541052732881
0.497.01083155718470.566846203287751
0.4197.1105678706040.561130187947059
0.4297.20901178695270.564251983387337
0.4397.30769778023260.574380891276027
0.4497.40788891608940.590345400026712
0.4597.5106130650070.611238910149623
0.4697.61668822375340.636225537472995
0.4797.72673050686890.664119122090415
0.4897.84114394572350.694075147973175
0.4997.96009631967640.724365621365849
0.598.08348912938110.753178275373438
0.5198.21093201226710.778854916275243
0.5298.34173215190960.799007974237782
0.5398.47490757488540.812109338494752
0.5498.60922995723760.816147711418892
0.5598.74329820417350.810521509219194
0.5698.87563930019870.794792670754317
0.5799.00482847589130.769636963299917
0.5899.12961724989160.736425156208937
0.5999.24905584967470.697046662733417
0.699.36259612214840.654528506306023
0.6199.47016230249730.611831948539514
0.6299.57217971291510.572444490562299
0.6399.66955529951410.539567204744355
0.6499.76360854496060.516233980330949
0.6599.85595639020510.504357337154256
0.6699.94836103689360.504744566693861
0.67100.0425544999010.516503060276584
0.68100.140058024210.537633395044936
0.69100.2420173027280.564594044425355
0.7100.3490750758260.593554064561631
0.71100.4613005061970.620646149102342
0.72100.5781894299840.64216707794632
0.73100.6987415662470.655331374730993
0.74100.821611195050.658580536842599
0.75100.9453185365480.651353653884026
0.76101.0685021516450.634780488378174
0.77101.1901897116920.611416163125742
0.78101.3100657128650.585011105960561
0.79101.4287185091950.560249413122637
0.8101.5478518841710.542840626267338
0.81101.6704437529510.539131663653215
0.82101.8008228822150.555635368477185
0.83101.9446138533650.598157505665208
0.84102.1084778835320.670533420714591
0.85102.2995688569550.772882008016428
0.86102.524655284490.900644341270091
0.87102.7889580641981.04374312608305
0.88103.0949361648391.18635772750075
0.89103.441491927341.30860200195247
0.9103.8242605451961.39066875942729
0.91104.2375861571991.42004618038911
0.92104.678192221621.40085893655335
0.93105.149252661871.36250433860431
0.94105.6618517167221.35740103119184
0.95106.2298422366771.42543577617411
0.96106.8558430608391.52808536257864
0.97107.5120652161831.53135741532518
0.98108.1283425617361.29241655007576
0.99108.604889930640.822774288451031

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 80.190380273883 & 1.23756889989217 \tabularnewline
0.02 & 80.7451875546464 & 1.27415924602647 \tabularnewline
0.03 & 81.3734188995765 & 1.28098880815411 \tabularnewline
0.04 & 81.9912876499406 & 1.28703836275205 \tabularnewline
0.05 & 82.5779653906978 & 1.38019179082894 \tabularnewline
0.06 & 83.1521389266167 & 1.60614217834215 \tabularnewline
0.07 & 83.744058107499 & 1.92482934505742 \tabularnewline
0.08 & 84.3765667361877 & 2.25975165847844 \tabularnewline
0.09 & 85.0570487982333 & 2.54520498180292 \tabularnewline
0.1 & 85.7778663179715 & 2.74200599220648 \tabularnewline
0.11 & 86.5215401342966 & 2.8389851958403 \tabularnewline
0.12 & 87.267131638192 & 2.84659375793883 \tabularnewline
0.13 & 87.99541814174 & 2.78667686376349 \tabularnewline
0.14 & 88.691863801176 & 2.68355015691794 \tabularnewline
0.15 & 89.3475040421446 & 2.55790743830369 \tabularnewline
0.16 & 89.9584307042861 & 2.42444897129324 \tabularnewline
0.17 & 90.5246396199207 & 2.29372118362611 \tabularnewline
0.18 & 91.0487901666568 & 2.17260056754929 \tabularnewline
0.19 & 91.5351428446443 & 2.06664816976255 \tabularnewline
0.2 & 91.988725194252 & 1.97933867668894 \tabularnewline
0.21 & 92.4146750728188 & 1.91178489728435 \tabularnewline
0.22 & 92.8177034839848 & 1.86211854177612 \tabularnewline
0.23 & 93.2016587181119 & 1.824890317673 \tabularnewline
0.24 & 93.5692145732629 & 1.79268088980013 \tabularnewline
0.25 & 93.9217220291662 & 1.75743839416397 \tabularnewline
0.26 & 94.2592510956318 & 1.71138662068613 \tabularnewline
0.27 & 94.5808173547148 & 1.6499666069371 \tabularnewline
0.28 & 94.8847512950722 & 1.57046917513243 \tabularnewline
0.29 & 95.1691414925867 & 1.47386072747153 \tabularnewline
0.3 & 95.432272771115 & 1.36350365265345 \tabularnewline
0.31 & 95.6729886992652 & 1.24438043607438 \tabularnewline
0.32 & 95.8909298342379 & 1.12272762771903 \tabularnewline
0.33 & 96.0866278712388 & 1.00464430575899 \tabularnewline
0.34 & 96.2614638818036 & 0.895706404163589 \tabularnewline
0.35 & 96.4175203687875 & 0.800175802373784 \tabularnewline
0.36 & 96.5573688269893 & 0.720752704553795 \tabularnewline
0.37 & 96.6838365112395 & 0.658678491330504 \tabularnewline
0.38 & 96.7997899577529 & 0.613377919797568 \tabularnewline
0.39 & 96.9079614728655 & 0.583541052732881 \tabularnewline
0.4 & 97.0108315571847 & 0.566846203287751 \tabularnewline
0.41 & 97.110567870604 & 0.561130187947059 \tabularnewline
0.42 & 97.2090117869527 & 0.564251983387337 \tabularnewline
0.43 & 97.3076977802326 & 0.574380891276027 \tabularnewline
0.44 & 97.4078889160894 & 0.590345400026712 \tabularnewline
0.45 & 97.510613065007 & 0.611238910149623 \tabularnewline
0.46 & 97.6166882237534 & 0.636225537472995 \tabularnewline
0.47 & 97.7267305068689 & 0.664119122090415 \tabularnewline
0.48 & 97.8411439457235 & 0.694075147973175 \tabularnewline
0.49 & 97.9600963196764 & 0.724365621365849 \tabularnewline
0.5 & 98.0834891293811 & 0.753178275373438 \tabularnewline
0.51 & 98.2109320122671 & 0.778854916275243 \tabularnewline
0.52 & 98.3417321519096 & 0.799007974237782 \tabularnewline
0.53 & 98.4749075748854 & 0.812109338494752 \tabularnewline
0.54 & 98.6092299572376 & 0.816147711418892 \tabularnewline
0.55 & 98.7432982041735 & 0.810521509219194 \tabularnewline
0.56 & 98.8756393001987 & 0.794792670754317 \tabularnewline
0.57 & 99.0048284758913 & 0.769636963299917 \tabularnewline
0.58 & 99.1296172498916 & 0.736425156208937 \tabularnewline
0.59 & 99.2490558496747 & 0.697046662733417 \tabularnewline
0.6 & 99.3625961221484 & 0.654528506306023 \tabularnewline
0.61 & 99.4701623024973 & 0.611831948539514 \tabularnewline
0.62 & 99.5721797129151 & 0.572444490562299 \tabularnewline
0.63 & 99.6695552995141 & 0.539567204744355 \tabularnewline
0.64 & 99.7636085449606 & 0.516233980330949 \tabularnewline
0.65 & 99.8559563902051 & 0.504357337154256 \tabularnewline
0.66 & 99.9483610368936 & 0.504744566693861 \tabularnewline
0.67 & 100.042554499901 & 0.516503060276584 \tabularnewline
0.68 & 100.14005802421 & 0.537633395044936 \tabularnewline
0.69 & 100.242017302728 & 0.564594044425355 \tabularnewline
0.7 & 100.349075075826 & 0.593554064561631 \tabularnewline
0.71 & 100.461300506197 & 0.620646149102342 \tabularnewline
0.72 & 100.578189429984 & 0.64216707794632 \tabularnewline
0.73 & 100.698741566247 & 0.655331374730993 \tabularnewline
0.74 & 100.82161119505 & 0.658580536842599 \tabularnewline
0.75 & 100.945318536548 & 0.651353653884026 \tabularnewline
0.76 & 101.068502151645 & 0.634780488378174 \tabularnewline
0.77 & 101.190189711692 & 0.611416163125742 \tabularnewline
0.78 & 101.310065712865 & 0.585011105960561 \tabularnewline
0.79 & 101.428718509195 & 0.560249413122637 \tabularnewline
0.8 & 101.547851884171 & 0.542840626267338 \tabularnewline
0.81 & 101.670443752951 & 0.539131663653215 \tabularnewline
0.82 & 101.800822882215 & 0.555635368477185 \tabularnewline
0.83 & 101.944613853365 & 0.598157505665208 \tabularnewline
0.84 & 102.108477883532 & 0.670533420714591 \tabularnewline
0.85 & 102.299568856955 & 0.772882008016428 \tabularnewline
0.86 & 102.52465528449 & 0.900644341270091 \tabularnewline
0.87 & 102.788958064198 & 1.04374312608305 \tabularnewline
0.88 & 103.094936164839 & 1.18635772750075 \tabularnewline
0.89 & 103.44149192734 & 1.30860200195247 \tabularnewline
0.9 & 103.824260545196 & 1.39066875942729 \tabularnewline
0.91 & 104.237586157199 & 1.42004618038911 \tabularnewline
0.92 & 104.67819222162 & 1.40085893655335 \tabularnewline
0.93 & 105.14925266187 & 1.36250433860431 \tabularnewline
0.94 & 105.661851716722 & 1.35740103119184 \tabularnewline
0.95 & 106.229842236677 & 1.42543577617411 \tabularnewline
0.96 & 106.855843060839 & 1.52808536257864 \tabularnewline
0.97 & 107.512065216183 & 1.53135741532518 \tabularnewline
0.98 & 108.128342561736 & 1.29241655007576 \tabularnewline
0.99 & 108.60488993064 & 0.822774288451031 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292934&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]80.190380273883[/C][C]1.23756889989217[/C][/ROW]
[ROW][C]0.02[/C][C]80.7451875546464[/C][C]1.27415924602647[/C][/ROW]
[ROW][C]0.03[/C][C]81.3734188995765[/C][C]1.28098880815411[/C][/ROW]
[ROW][C]0.04[/C][C]81.9912876499406[/C][C]1.28703836275205[/C][/ROW]
[ROW][C]0.05[/C][C]82.5779653906978[/C][C]1.38019179082894[/C][/ROW]
[ROW][C]0.06[/C][C]83.1521389266167[/C][C]1.60614217834215[/C][/ROW]
[ROW][C]0.07[/C][C]83.744058107499[/C][C]1.92482934505742[/C][/ROW]
[ROW][C]0.08[/C][C]84.3765667361877[/C][C]2.25975165847844[/C][/ROW]
[ROW][C]0.09[/C][C]85.0570487982333[/C][C]2.54520498180292[/C][/ROW]
[ROW][C]0.1[/C][C]85.7778663179715[/C][C]2.74200599220648[/C][/ROW]
[ROW][C]0.11[/C][C]86.5215401342966[/C][C]2.8389851958403[/C][/ROW]
[ROW][C]0.12[/C][C]87.267131638192[/C][C]2.84659375793883[/C][/ROW]
[ROW][C]0.13[/C][C]87.99541814174[/C][C]2.78667686376349[/C][/ROW]
[ROW][C]0.14[/C][C]88.691863801176[/C][C]2.68355015691794[/C][/ROW]
[ROW][C]0.15[/C][C]89.3475040421446[/C][C]2.55790743830369[/C][/ROW]
[ROW][C]0.16[/C][C]89.9584307042861[/C][C]2.42444897129324[/C][/ROW]
[ROW][C]0.17[/C][C]90.5246396199207[/C][C]2.29372118362611[/C][/ROW]
[ROW][C]0.18[/C][C]91.0487901666568[/C][C]2.17260056754929[/C][/ROW]
[ROW][C]0.19[/C][C]91.5351428446443[/C][C]2.06664816976255[/C][/ROW]
[ROW][C]0.2[/C][C]91.988725194252[/C][C]1.97933867668894[/C][/ROW]
[ROW][C]0.21[/C][C]92.4146750728188[/C][C]1.91178489728435[/C][/ROW]
[ROW][C]0.22[/C][C]92.8177034839848[/C][C]1.86211854177612[/C][/ROW]
[ROW][C]0.23[/C][C]93.2016587181119[/C][C]1.824890317673[/C][/ROW]
[ROW][C]0.24[/C][C]93.5692145732629[/C][C]1.79268088980013[/C][/ROW]
[ROW][C]0.25[/C][C]93.9217220291662[/C][C]1.75743839416397[/C][/ROW]
[ROW][C]0.26[/C][C]94.2592510956318[/C][C]1.71138662068613[/C][/ROW]
[ROW][C]0.27[/C][C]94.5808173547148[/C][C]1.6499666069371[/C][/ROW]
[ROW][C]0.28[/C][C]94.8847512950722[/C][C]1.57046917513243[/C][/ROW]
[ROW][C]0.29[/C][C]95.1691414925867[/C][C]1.47386072747153[/C][/ROW]
[ROW][C]0.3[/C][C]95.432272771115[/C][C]1.36350365265345[/C][/ROW]
[ROW][C]0.31[/C][C]95.6729886992652[/C][C]1.24438043607438[/C][/ROW]
[ROW][C]0.32[/C][C]95.8909298342379[/C][C]1.12272762771903[/C][/ROW]
[ROW][C]0.33[/C][C]96.0866278712388[/C][C]1.00464430575899[/C][/ROW]
[ROW][C]0.34[/C][C]96.2614638818036[/C][C]0.895706404163589[/C][/ROW]
[ROW][C]0.35[/C][C]96.4175203687875[/C][C]0.800175802373784[/C][/ROW]
[ROW][C]0.36[/C][C]96.5573688269893[/C][C]0.720752704553795[/C][/ROW]
[ROW][C]0.37[/C][C]96.6838365112395[/C][C]0.658678491330504[/C][/ROW]
[ROW][C]0.38[/C][C]96.7997899577529[/C][C]0.613377919797568[/C][/ROW]
[ROW][C]0.39[/C][C]96.9079614728655[/C][C]0.583541052732881[/C][/ROW]
[ROW][C]0.4[/C][C]97.0108315571847[/C][C]0.566846203287751[/C][/ROW]
[ROW][C]0.41[/C][C]97.110567870604[/C][C]0.561130187947059[/C][/ROW]
[ROW][C]0.42[/C][C]97.2090117869527[/C][C]0.564251983387337[/C][/ROW]
[ROW][C]0.43[/C][C]97.3076977802326[/C][C]0.574380891276027[/C][/ROW]
[ROW][C]0.44[/C][C]97.4078889160894[/C][C]0.590345400026712[/C][/ROW]
[ROW][C]0.45[/C][C]97.510613065007[/C][C]0.611238910149623[/C][/ROW]
[ROW][C]0.46[/C][C]97.6166882237534[/C][C]0.636225537472995[/C][/ROW]
[ROW][C]0.47[/C][C]97.7267305068689[/C][C]0.664119122090415[/C][/ROW]
[ROW][C]0.48[/C][C]97.8411439457235[/C][C]0.694075147973175[/C][/ROW]
[ROW][C]0.49[/C][C]97.9600963196764[/C][C]0.724365621365849[/C][/ROW]
[ROW][C]0.5[/C][C]98.0834891293811[/C][C]0.753178275373438[/C][/ROW]
[ROW][C]0.51[/C][C]98.2109320122671[/C][C]0.778854916275243[/C][/ROW]
[ROW][C]0.52[/C][C]98.3417321519096[/C][C]0.799007974237782[/C][/ROW]
[ROW][C]0.53[/C][C]98.4749075748854[/C][C]0.812109338494752[/C][/ROW]
[ROW][C]0.54[/C][C]98.6092299572376[/C][C]0.816147711418892[/C][/ROW]
[ROW][C]0.55[/C][C]98.7432982041735[/C][C]0.810521509219194[/C][/ROW]
[ROW][C]0.56[/C][C]98.8756393001987[/C][C]0.794792670754317[/C][/ROW]
[ROW][C]0.57[/C][C]99.0048284758913[/C][C]0.769636963299917[/C][/ROW]
[ROW][C]0.58[/C][C]99.1296172498916[/C][C]0.736425156208937[/C][/ROW]
[ROW][C]0.59[/C][C]99.2490558496747[/C][C]0.697046662733417[/C][/ROW]
[ROW][C]0.6[/C][C]99.3625961221484[/C][C]0.654528506306023[/C][/ROW]
[ROW][C]0.61[/C][C]99.4701623024973[/C][C]0.611831948539514[/C][/ROW]
[ROW][C]0.62[/C][C]99.5721797129151[/C][C]0.572444490562299[/C][/ROW]
[ROW][C]0.63[/C][C]99.6695552995141[/C][C]0.539567204744355[/C][/ROW]
[ROW][C]0.64[/C][C]99.7636085449606[/C][C]0.516233980330949[/C][/ROW]
[ROW][C]0.65[/C][C]99.8559563902051[/C][C]0.504357337154256[/C][/ROW]
[ROW][C]0.66[/C][C]99.9483610368936[/C][C]0.504744566693861[/C][/ROW]
[ROW][C]0.67[/C][C]100.042554499901[/C][C]0.516503060276584[/C][/ROW]
[ROW][C]0.68[/C][C]100.14005802421[/C][C]0.537633395044936[/C][/ROW]
[ROW][C]0.69[/C][C]100.242017302728[/C][C]0.564594044425355[/C][/ROW]
[ROW][C]0.7[/C][C]100.349075075826[/C][C]0.593554064561631[/C][/ROW]
[ROW][C]0.71[/C][C]100.461300506197[/C][C]0.620646149102342[/C][/ROW]
[ROW][C]0.72[/C][C]100.578189429984[/C][C]0.64216707794632[/C][/ROW]
[ROW][C]0.73[/C][C]100.698741566247[/C][C]0.655331374730993[/C][/ROW]
[ROW][C]0.74[/C][C]100.82161119505[/C][C]0.658580536842599[/C][/ROW]
[ROW][C]0.75[/C][C]100.945318536548[/C][C]0.651353653884026[/C][/ROW]
[ROW][C]0.76[/C][C]101.068502151645[/C][C]0.634780488378174[/C][/ROW]
[ROW][C]0.77[/C][C]101.190189711692[/C][C]0.611416163125742[/C][/ROW]
[ROW][C]0.78[/C][C]101.310065712865[/C][C]0.585011105960561[/C][/ROW]
[ROW][C]0.79[/C][C]101.428718509195[/C][C]0.560249413122637[/C][/ROW]
[ROW][C]0.8[/C][C]101.547851884171[/C][C]0.542840626267338[/C][/ROW]
[ROW][C]0.81[/C][C]101.670443752951[/C][C]0.539131663653215[/C][/ROW]
[ROW][C]0.82[/C][C]101.800822882215[/C][C]0.555635368477185[/C][/ROW]
[ROW][C]0.83[/C][C]101.944613853365[/C][C]0.598157505665208[/C][/ROW]
[ROW][C]0.84[/C][C]102.108477883532[/C][C]0.670533420714591[/C][/ROW]
[ROW][C]0.85[/C][C]102.299568856955[/C][C]0.772882008016428[/C][/ROW]
[ROW][C]0.86[/C][C]102.52465528449[/C][C]0.900644341270091[/C][/ROW]
[ROW][C]0.87[/C][C]102.788958064198[/C][C]1.04374312608305[/C][/ROW]
[ROW][C]0.88[/C][C]103.094936164839[/C][C]1.18635772750075[/C][/ROW]
[ROW][C]0.89[/C][C]103.44149192734[/C][C]1.30860200195247[/C][/ROW]
[ROW][C]0.9[/C][C]103.824260545196[/C][C]1.39066875942729[/C][/ROW]
[ROW][C]0.91[/C][C]104.237586157199[/C][C]1.42004618038911[/C][/ROW]
[ROW][C]0.92[/C][C]104.67819222162[/C][C]1.40085893655335[/C][/ROW]
[ROW][C]0.93[/C][C]105.14925266187[/C][C]1.36250433860431[/C][/ROW]
[ROW][C]0.94[/C][C]105.661851716722[/C][C]1.35740103119184[/C][/ROW]
[ROW][C]0.95[/C][C]106.229842236677[/C][C]1.42543577617411[/C][/ROW]
[ROW][C]0.96[/C][C]106.855843060839[/C][C]1.52808536257864[/C][/ROW]
[ROW][C]0.97[/C][C]107.512065216183[/C][C]1.53135741532518[/C][/ROW]
[ROW][C]0.98[/C][C]108.128342561736[/C][C]1.29241655007576[/C][/ROW]
[ROW][C]0.99[/C][C]108.60488993064[/C][C]0.822774288451031[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292934&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292934&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
0.0180.1903802738831.23756889989217
0.0280.74518755464641.27415924602647
0.0381.37341889957651.28098880815411
0.0481.99128764994061.28703836275205
0.0582.57796539069781.38019179082894
0.0683.15213892661671.60614217834215
0.0783.7440581074991.92482934505742
0.0884.37656673618772.25975165847844
0.0985.05704879823332.54520498180292
0.185.77786631797152.74200599220648
0.1186.52154013429662.8389851958403
0.1287.2671316381922.84659375793883
0.1387.995418141742.78667686376349
0.1488.6918638011762.68355015691794
0.1589.34750404214462.55790743830369
0.1689.95843070428612.42444897129324
0.1790.52463961992072.29372118362611
0.1891.04879016665682.17260056754929
0.1991.53514284464432.06664816976255
0.291.9887251942521.97933867668894
0.2192.41467507281881.91178489728435
0.2292.81770348398481.86211854177612
0.2393.20165871811191.824890317673
0.2493.56921457326291.79268088980013
0.2593.92172202916621.75743839416397
0.2694.25925109563181.71138662068613
0.2794.58081735471481.6499666069371
0.2894.88475129507221.57046917513243
0.2995.16914149258671.47386072747153
0.395.4322727711151.36350365265345
0.3195.67298869926521.24438043607438
0.3295.89092983423791.12272762771903
0.3396.08662787123881.00464430575899
0.3496.26146388180360.895706404163589
0.3596.41752036878750.800175802373784
0.3696.55736882698930.720752704553795
0.3796.68383651123950.658678491330504
0.3896.79978995775290.613377919797568
0.3996.90796147286550.583541052732881
0.497.01083155718470.566846203287751
0.4197.1105678706040.561130187947059
0.4297.20901178695270.564251983387337
0.4397.30769778023260.574380891276027
0.4497.40788891608940.590345400026712
0.4597.5106130650070.611238910149623
0.4697.61668822375340.636225537472995
0.4797.72673050686890.664119122090415
0.4897.84114394572350.694075147973175
0.4997.96009631967640.724365621365849
0.598.08348912938110.753178275373438
0.5198.21093201226710.778854916275243
0.5298.34173215190960.799007974237782
0.5398.47490757488540.812109338494752
0.5498.60922995723760.816147711418892
0.5598.74329820417350.810521509219194
0.5698.87563930019870.794792670754317
0.5799.00482847589130.769636963299917
0.5899.12961724989160.736425156208937
0.5999.24905584967470.697046662733417
0.699.36259612214840.654528506306023
0.6199.47016230249730.611831948539514
0.6299.57217971291510.572444490562299
0.6399.66955529951410.539567204744355
0.6499.76360854496060.516233980330949
0.6599.85595639020510.504357337154256
0.6699.94836103689360.504744566693861
0.67100.0425544999010.516503060276584
0.68100.140058024210.537633395044936
0.69100.2420173027280.564594044425355
0.7100.3490750758260.593554064561631
0.71100.4613005061970.620646149102342
0.72100.5781894299840.64216707794632
0.73100.6987415662470.655331374730993
0.74100.821611195050.658580536842599
0.75100.9453185365480.651353653884026
0.76101.0685021516450.634780488378174
0.77101.1901897116920.611416163125742
0.78101.3100657128650.585011105960561
0.79101.4287185091950.560249413122637
0.8101.5478518841710.542840626267338
0.81101.6704437529510.539131663653215
0.82101.8008228822150.555635368477185
0.83101.9446138533650.598157505665208
0.84102.1084778835320.670533420714591
0.85102.2995688569550.772882008016428
0.86102.524655284490.900644341270091
0.87102.7889580641981.04374312608305
0.88103.0949361648391.18635772750075
0.89103.441491927341.30860200195247
0.9103.8242605451961.39066875942729
0.91104.2375861571991.42004618038911
0.92104.678192221621.40085893655335
0.93105.149252661871.36250433860431
0.94105.6618517167221.35740103119184
0.95106.2298422366771.42543577617411
0.96106.8558430608391.52808536257864
0.97107.5120652161831.53135741532518
0.98108.1283425617361.29241655007576
0.99108.604889930640.822774288451031


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')