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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 computationTue, 04 Oct 2016 17:44:58 +0100
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/Oct/04/t1475599902inxp89b07hwkjup.htm/, Retrieved Tue, 21 May 2024 08:43:27 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 21 May 2024 08:43:27 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
75.99
76.31
76.51
76.75
77.23
77.22
77.25
77.36
77.57
77.88
78.29
78.42
78.96
79.85
80.05
80.16
80.29
80.36
80.48
80.95
82.3
84.81
85.4
86.13
87.02
87.38
87.5
87.91
88.06
88.09
88.16
88.33
88.52
88.96
89.26
89.34
89.09
89.25
89.31
89.28
89.32
89.47
89.59
89.62
89.71
89.9
90.04
90.05
90.18
90.5
90.63
90.75
90.76
90.67
90.5
90.8
91.22
92.19
92.51
92.67
93.75
94.1
94.96
95.21
95.33
95.43
95.44
95.64
95.8
95.87
95.98
96.07
96.23
96.32
96.55
96.73
96.61
96.64
96.86
97.02
97.22
98.1
98.46
98.6
98.78
99.13
99.48
99.62
99.68
99.95
100.12
100.25
100.47
100.7
100.88
100.95
100.92
101.12
101.19
101.28
101.28
101.3
101.3
101.36
101.45
101.58
101.73
101.84
102.01
102.14
102.16
102.32
102.41
102.4
102.43
102.42
102.3
102.65
102.72
102.86

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

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

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0176.20197612213340.29619497241279
0.0276.50106561188170.341485554105475
0.0376.78519541670430.372205045511694
0.0477.0386832549710.370081434142677
0.0577.27050209055830.407100852540422
0.0677.50812359177830.521564383977765
0.0777.78115500757140.683705013050527
0.0878.10469628238160.850554382473792
0.0978.47698389193790.993695122282712
0.178.88748832786471.10880715799165
0.1179.32751777671531.21868931929672
0.1279.79796492336741.36517729122727
0.1380.31106049129311.584752526889
0.1480.88525004402621.87917404983199
0.1581.5354371200352.20805919574608
0.1682.26333433627192.50556628838937
0.1783.05265709955632.70591327934147
0.1883.87129535379152.76595506395627
0.1984.67912899686612.67797324846783
0.285.4378453941712.46610756398782
0.2186.11893747507362.17586798517611
0.2286.70759190574761.85757758341794
0.2387.2022473036321.5535117055128
0.2487.61114753285421.29034507795946
0.2587.94777640183171.07814855551332
0.2688.22677418677510.914779803335666
0.2788.46122858453040.79053178756076
0.2888.66150975062880.693814164314873
0.2988.83531814382810.616310963828771
0.388.98839887049680.553726981154459
0.3189.12540030455690.505169423076512
0.3289.2505238588560.471441652347326
0.3389.36782697155380.453795987963319
0.3489.48122400329490.452131584820349
0.3589.5943349764610.46410736559109
0.3689.7103513606440.487828890490436
0.3789.83204072831010.521018807780581
0.3889.96193041149870.564046150418561
0.3990.10262572108640.617703758038579
0.490.2571538074720.685733531018397
0.4190.42919349283810.772210429160025
0.4290.62306084830970.880162418249362
0.4390.8433701021351.00995167776142
0.4491.09437191855881.15757607300025
0.4591.37906854928731.315514242463
0.4691.69829149689891.47089920299662
0.4792.04997346877621.60974028075325
0.4892.42883161156861.71697471421971
0.4992.82659961409321.7805896438505
0.593.23281991425671.79310172565861
0.5193.63606899997971.75314108428915
0.5294.02537998754411.66637395887749
0.5394.39158067976161.54315318442374
0.5494.72829569912571.39798107664923
0.5595.03245679048271.24598021964009
0.5695.30429383353871.10180353172265
0.5795.54689891117470.976682164792329
0.5895.76553073718610.878667008054084
0.5995.96683868072420.813064908621038
0.696.15814019868240.780326149494234
0.6196.34680903904820.779909375720738
0.6296.53976015609580.808419922087254
0.6396.7429819213880.860014591053777
0.6496.96108002851850.927619740614931
0.6597.19684978726881.00236002039769
0.6697.450954053311.07394306664841
0.6797.72181657204891.13290928600751
0.6898.00582019571531.17147340198786
0.6998.29782619230311.18480081789562
0.798.59193140377611.17193969390445
0.7198.88229648213981.13540433814909
0.7299.16384883564931.08046186920386
0.7399.43270394886091.01294088289602
0.7499.68624419050690.938885288129431
0.7599.92290745938350.862070625441996
0.76100.1418250562270.784862218478847
0.77100.3424781171450.707680687261723
0.78100.5245097683560.630674132808083
0.79100.6877565528390.554490930163837
0.8100.8324806670380.480647169068149
0.81100.9597202526730.411997833711047
0.82101.0716355565110.352674565815079
0.83101.1717077628630.306967002759262
0.84101.264644259420.279047923142441
0.85101.3558789994540.270606580699891
0.86101.4506585456780.279037996940187
0.87101.552874801070.297092498922865
0.88101.663985666830.315026095731383
0.89101.7824450548070.323441717308721
0.9101.9039459656990.315871919851463
0.91102.0224710243190.29060134551124
0.92102.1318212229360.250487963654842
0.93102.2272612662970.202001944642558
0.94102.3073320596430.153509746128305
0.95102.3761525453480.116627430522898
0.96102.4451091688370.107278094827997
0.97102.5297845125060.126675032098493
0.98102.6400027807350.139708247864747
0.99102.7674773516290.129707607143127

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 76.2019761221334 & 0.29619497241279 \tabularnewline
0.02 & 76.5010656118817 & 0.341485554105475 \tabularnewline
0.03 & 76.7851954167043 & 0.372205045511694 \tabularnewline
0.04 & 77.038683254971 & 0.370081434142677 \tabularnewline
0.05 & 77.2705020905583 & 0.407100852540422 \tabularnewline
0.06 & 77.5081235917783 & 0.521564383977765 \tabularnewline
0.07 & 77.7811550075714 & 0.683705013050527 \tabularnewline
0.08 & 78.1046962823816 & 0.850554382473792 \tabularnewline
0.09 & 78.4769838919379 & 0.993695122282712 \tabularnewline
0.1 & 78.8874883278647 & 1.10880715799165 \tabularnewline
0.11 & 79.3275177767153 & 1.21868931929672 \tabularnewline
0.12 & 79.7979649233674 & 1.36517729122727 \tabularnewline
0.13 & 80.3110604912931 & 1.584752526889 \tabularnewline
0.14 & 80.8852500440262 & 1.87917404983199 \tabularnewline
0.15 & 81.535437120035 & 2.20805919574608 \tabularnewline
0.16 & 82.2633343362719 & 2.50556628838937 \tabularnewline
0.17 & 83.0526570995563 & 2.70591327934147 \tabularnewline
0.18 & 83.8712953537915 & 2.76595506395627 \tabularnewline
0.19 & 84.6791289968661 & 2.67797324846783 \tabularnewline
0.2 & 85.437845394171 & 2.46610756398782 \tabularnewline
0.21 & 86.1189374750736 & 2.17586798517611 \tabularnewline
0.22 & 86.7075919057476 & 1.85757758341794 \tabularnewline
0.23 & 87.202247303632 & 1.5535117055128 \tabularnewline
0.24 & 87.6111475328542 & 1.29034507795946 \tabularnewline
0.25 & 87.9477764018317 & 1.07814855551332 \tabularnewline
0.26 & 88.2267741867751 & 0.914779803335666 \tabularnewline
0.27 & 88.4612285845304 & 0.79053178756076 \tabularnewline
0.28 & 88.6615097506288 & 0.693814164314873 \tabularnewline
0.29 & 88.8353181438281 & 0.616310963828771 \tabularnewline
0.3 & 88.9883988704968 & 0.553726981154459 \tabularnewline
0.31 & 89.1254003045569 & 0.505169423076512 \tabularnewline
0.32 & 89.250523858856 & 0.471441652347326 \tabularnewline
0.33 & 89.3678269715538 & 0.453795987963319 \tabularnewline
0.34 & 89.4812240032949 & 0.452131584820349 \tabularnewline
0.35 & 89.594334976461 & 0.46410736559109 \tabularnewline
0.36 & 89.710351360644 & 0.487828890490436 \tabularnewline
0.37 & 89.8320407283101 & 0.521018807780581 \tabularnewline
0.38 & 89.9619304114987 & 0.564046150418561 \tabularnewline
0.39 & 90.1026257210864 & 0.617703758038579 \tabularnewline
0.4 & 90.257153807472 & 0.685733531018397 \tabularnewline
0.41 & 90.4291934928381 & 0.772210429160025 \tabularnewline
0.42 & 90.6230608483097 & 0.880162418249362 \tabularnewline
0.43 & 90.843370102135 & 1.00995167776142 \tabularnewline
0.44 & 91.0943719185588 & 1.15757607300025 \tabularnewline
0.45 & 91.3790685492873 & 1.315514242463 \tabularnewline
0.46 & 91.6982914968989 & 1.47089920299662 \tabularnewline
0.47 & 92.0499734687762 & 1.60974028075325 \tabularnewline
0.48 & 92.4288316115686 & 1.71697471421971 \tabularnewline
0.49 & 92.8265996140932 & 1.7805896438505 \tabularnewline
0.5 & 93.2328199142567 & 1.79310172565861 \tabularnewline
0.51 & 93.6360689999797 & 1.75314108428915 \tabularnewline
0.52 & 94.0253799875441 & 1.66637395887749 \tabularnewline
0.53 & 94.3915806797616 & 1.54315318442374 \tabularnewline
0.54 & 94.7282956991257 & 1.39798107664923 \tabularnewline
0.55 & 95.0324567904827 & 1.24598021964009 \tabularnewline
0.56 & 95.3042938335387 & 1.10180353172265 \tabularnewline
0.57 & 95.5468989111747 & 0.976682164792329 \tabularnewline
0.58 & 95.7655307371861 & 0.878667008054084 \tabularnewline
0.59 & 95.9668386807242 & 0.813064908621038 \tabularnewline
0.6 & 96.1581401986824 & 0.780326149494234 \tabularnewline
0.61 & 96.3468090390482 & 0.779909375720738 \tabularnewline
0.62 & 96.5397601560958 & 0.808419922087254 \tabularnewline
0.63 & 96.742981921388 & 0.860014591053777 \tabularnewline
0.64 & 96.9610800285185 & 0.927619740614931 \tabularnewline
0.65 & 97.1968497872688 & 1.00236002039769 \tabularnewline
0.66 & 97.45095405331 & 1.07394306664841 \tabularnewline
0.67 & 97.7218165720489 & 1.13290928600751 \tabularnewline
0.68 & 98.0058201957153 & 1.17147340198786 \tabularnewline
0.69 & 98.2978261923031 & 1.18480081789562 \tabularnewline
0.7 & 98.5919314037761 & 1.17193969390445 \tabularnewline
0.71 & 98.8822964821398 & 1.13540433814909 \tabularnewline
0.72 & 99.1638488356493 & 1.08046186920386 \tabularnewline
0.73 & 99.4327039488609 & 1.01294088289602 \tabularnewline
0.74 & 99.6862441905069 & 0.938885288129431 \tabularnewline
0.75 & 99.9229074593835 & 0.862070625441996 \tabularnewline
0.76 & 100.141825056227 & 0.784862218478847 \tabularnewline
0.77 & 100.342478117145 & 0.707680687261723 \tabularnewline
0.78 & 100.524509768356 & 0.630674132808083 \tabularnewline
0.79 & 100.687756552839 & 0.554490930163837 \tabularnewline
0.8 & 100.832480667038 & 0.480647169068149 \tabularnewline
0.81 & 100.959720252673 & 0.411997833711047 \tabularnewline
0.82 & 101.071635556511 & 0.352674565815079 \tabularnewline
0.83 & 101.171707762863 & 0.306967002759262 \tabularnewline
0.84 & 101.26464425942 & 0.279047923142441 \tabularnewline
0.85 & 101.355878999454 & 0.270606580699891 \tabularnewline
0.86 & 101.450658545678 & 0.279037996940187 \tabularnewline
0.87 & 101.55287480107 & 0.297092498922865 \tabularnewline
0.88 & 101.66398566683 & 0.315026095731383 \tabularnewline
0.89 & 101.782445054807 & 0.323441717308721 \tabularnewline
0.9 & 101.903945965699 & 0.315871919851463 \tabularnewline
0.91 & 102.022471024319 & 0.29060134551124 \tabularnewline
0.92 & 102.131821222936 & 0.250487963654842 \tabularnewline
0.93 & 102.227261266297 & 0.202001944642558 \tabularnewline
0.94 & 102.307332059643 & 0.153509746128305 \tabularnewline
0.95 & 102.376152545348 & 0.116627430522898 \tabularnewline
0.96 & 102.445109168837 & 0.107278094827997 \tabularnewline
0.97 & 102.529784512506 & 0.126675032098493 \tabularnewline
0.98 & 102.640002780735 & 0.139708247864747 \tabularnewline
0.99 & 102.767477351629 & 0.129707607143127 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]76.2019761221334[/C][C]0.29619497241279[/C][/ROW]
[ROW][C]0.02[/C][C]76.5010656118817[/C][C]0.341485554105475[/C][/ROW]
[ROW][C]0.03[/C][C]76.7851954167043[/C][C]0.372205045511694[/C][/ROW]
[ROW][C]0.04[/C][C]77.038683254971[/C][C]0.370081434142677[/C][/ROW]
[ROW][C]0.05[/C][C]77.2705020905583[/C][C]0.407100852540422[/C][/ROW]
[ROW][C]0.06[/C][C]77.5081235917783[/C][C]0.521564383977765[/C][/ROW]
[ROW][C]0.07[/C][C]77.7811550075714[/C][C]0.683705013050527[/C][/ROW]
[ROW][C]0.08[/C][C]78.1046962823816[/C][C]0.850554382473792[/C][/ROW]
[ROW][C]0.09[/C][C]78.4769838919379[/C][C]0.993695122282712[/C][/ROW]
[ROW][C]0.1[/C][C]78.8874883278647[/C][C]1.10880715799165[/C][/ROW]
[ROW][C]0.11[/C][C]79.3275177767153[/C][C]1.21868931929672[/C][/ROW]
[ROW][C]0.12[/C][C]79.7979649233674[/C][C]1.36517729122727[/C][/ROW]
[ROW][C]0.13[/C][C]80.3110604912931[/C][C]1.584752526889[/C][/ROW]
[ROW][C]0.14[/C][C]80.8852500440262[/C][C]1.87917404983199[/C][/ROW]
[ROW][C]0.15[/C][C]81.535437120035[/C][C]2.20805919574608[/C][/ROW]
[ROW][C]0.16[/C][C]82.2633343362719[/C][C]2.50556628838937[/C][/ROW]
[ROW][C]0.17[/C][C]83.0526570995563[/C][C]2.70591327934147[/C][/ROW]
[ROW][C]0.18[/C][C]83.8712953537915[/C][C]2.76595506395627[/C][/ROW]
[ROW][C]0.19[/C][C]84.6791289968661[/C][C]2.67797324846783[/C][/ROW]
[ROW][C]0.2[/C][C]85.437845394171[/C][C]2.46610756398782[/C][/ROW]
[ROW][C]0.21[/C][C]86.1189374750736[/C][C]2.17586798517611[/C][/ROW]
[ROW][C]0.22[/C][C]86.7075919057476[/C][C]1.85757758341794[/C][/ROW]
[ROW][C]0.23[/C][C]87.202247303632[/C][C]1.5535117055128[/C][/ROW]
[ROW][C]0.24[/C][C]87.6111475328542[/C][C]1.29034507795946[/C][/ROW]
[ROW][C]0.25[/C][C]87.9477764018317[/C][C]1.07814855551332[/C][/ROW]
[ROW][C]0.26[/C][C]88.2267741867751[/C][C]0.914779803335666[/C][/ROW]
[ROW][C]0.27[/C][C]88.4612285845304[/C][C]0.79053178756076[/C][/ROW]
[ROW][C]0.28[/C][C]88.6615097506288[/C][C]0.693814164314873[/C][/ROW]
[ROW][C]0.29[/C][C]88.8353181438281[/C][C]0.616310963828771[/C][/ROW]
[ROW][C]0.3[/C][C]88.9883988704968[/C][C]0.553726981154459[/C][/ROW]
[ROW][C]0.31[/C][C]89.1254003045569[/C][C]0.505169423076512[/C][/ROW]
[ROW][C]0.32[/C][C]89.250523858856[/C][C]0.471441652347326[/C][/ROW]
[ROW][C]0.33[/C][C]89.3678269715538[/C][C]0.453795987963319[/C][/ROW]
[ROW][C]0.34[/C][C]89.4812240032949[/C][C]0.452131584820349[/C][/ROW]
[ROW][C]0.35[/C][C]89.594334976461[/C][C]0.46410736559109[/C][/ROW]
[ROW][C]0.36[/C][C]89.710351360644[/C][C]0.487828890490436[/C][/ROW]
[ROW][C]0.37[/C][C]89.8320407283101[/C][C]0.521018807780581[/C][/ROW]
[ROW][C]0.38[/C][C]89.9619304114987[/C][C]0.564046150418561[/C][/ROW]
[ROW][C]0.39[/C][C]90.1026257210864[/C][C]0.617703758038579[/C][/ROW]
[ROW][C]0.4[/C][C]90.257153807472[/C][C]0.685733531018397[/C][/ROW]
[ROW][C]0.41[/C][C]90.4291934928381[/C][C]0.772210429160025[/C][/ROW]
[ROW][C]0.42[/C][C]90.6230608483097[/C][C]0.880162418249362[/C][/ROW]
[ROW][C]0.43[/C][C]90.843370102135[/C][C]1.00995167776142[/C][/ROW]
[ROW][C]0.44[/C][C]91.0943719185588[/C][C]1.15757607300025[/C][/ROW]
[ROW][C]0.45[/C][C]91.3790685492873[/C][C]1.315514242463[/C][/ROW]
[ROW][C]0.46[/C][C]91.6982914968989[/C][C]1.47089920299662[/C][/ROW]
[ROW][C]0.47[/C][C]92.0499734687762[/C][C]1.60974028075325[/C][/ROW]
[ROW][C]0.48[/C][C]92.4288316115686[/C][C]1.71697471421971[/C][/ROW]
[ROW][C]0.49[/C][C]92.8265996140932[/C][C]1.7805896438505[/C][/ROW]
[ROW][C]0.5[/C][C]93.2328199142567[/C][C]1.79310172565861[/C][/ROW]
[ROW][C]0.51[/C][C]93.6360689999797[/C][C]1.75314108428915[/C][/ROW]
[ROW][C]0.52[/C][C]94.0253799875441[/C][C]1.66637395887749[/C][/ROW]
[ROW][C]0.53[/C][C]94.3915806797616[/C][C]1.54315318442374[/C][/ROW]
[ROW][C]0.54[/C][C]94.7282956991257[/C][C]1.39798107664923[/C][/ROW]
[ROW][C]0.55[/C][C]95.0324567904827[/C][C]1.24598021964009[/C][/ROW]
[ROW][C]0.56[/C][C]95.3042938335387[/C][C]1.10180353172265[/C][/ROW]
[ROW][C]0.57[/C][C]95.5468989111747[/C][C]0.976682164792329[/C][/ROW]
[ROW][C]0.58[/C][C]95.7655307371861[/C][C]0.878667008054084[/C][/ROW]
[ROW][C]0.59[/C][C]95.9668386807242[/C][C]0.813064908621038[/C][/ROW]
[ROW][C]0.6[/C][C]96.1581401986824[/C][C]0.780326149494234[/C][/ROW]
[ROW][C]0.61[/C][C]96.3468090390482[/C][C]0.779909375720738[/C][/ROW]
[ROW][C]0.62[/C][C]96.5397601560958[/C][C]0.808419922087254[/C][/ROW]
[ROW][C]0.63[/C][C]96.742981921388[/C][C]0.860014591053777[/C][/ROW]
[ROW][C]0.64[/C][C]96.9610800285185[/C][C]0.927619740614931[/C][/ROW]
[ROW][C]0.65[/C][C]97.1968497872688[/C][C]1.00236002039769[/C][/ROW]
[ROW][C]0.66[/C][C]97.45095405331[/C][C]1.07394306664841[/C][/ROW]
[ROW][C]0.67[/C][C]97.7218165720489[/C][C]1.13290928600751[/C][/ROW]
[ROW][C]0.68[/C][C]98.0058201957153[/C][C]1.17147340198786[/C][/ROW]
[ROW][C]0.69[/C][C]98.2978261923031[/C][C]1.18480081789562[/C][/ROW]
[ROW][C]0.7[/C][C]98.5919314037761[/C][C]1.17193969390445[/C][/ROW]
[ROW][C]0.71[/C][C]98.8822964821398[/C][C]1.13540433814909[/C][/ROW]
[ROW][C]0.72[/C][C]99.1638488356493[/C][C]1.08046186920386[/C][/ROW]
[ROW][C]0.73[/C][C]99.4327039488609[/C][C]1.01294088289602[/C][/ROW]
[ROW][C]0.74[/C][C]99.6862441905069[/C][C]0.938885288129431[/C][/ROW]
[ROW][C]0.75[/C][C]99.9229074593835[/C][C]0.862070625441996[/C][/ROW]
[ROW][C]0.76[/C][C]100.141825056227[/C][C]0.784862218478847[/C][/ROW]
[ROW][C]0.77[/C][C]100.342478117145[/C][C]0.707680687261723[/C][/ROW]
[ROW][C]0.78[/C][C]100.524509768356[/C][C]0.630674132808083[/C][/ROW]
[ROW][C]0.79[/C][C]100.687756552839[/C][C]0.554490930163837[/C][/ROW]
[ROW][C]0.8[/C][C]100.832480667038[/C][C]0.480647169068149[/C][/ROW]
[ROW][C]0.81[/C][C]100.959720252673[/C][C]0.411997833711047[/C][/ROW]
[ROW][C]0.82[/C][C]101.071635556511[/C][C]0.352674565815079[/C][/ROW]
[ROW][C]0.83[/C][C]101.171707762863[/C][C]0.306967002759262[/C][/ROW]
[ROW][C]0.84[/C][C]101.26464425942[/C][C]0.279047923142441[/C][/ROW]
[ROW][C]0.85[/C][C]101.355878999454[/C][C]0.270606580699891[/C][/ROW]
[ROW][C]0.86[/C][C]101.450658545678[/C][C]0.279037996940187[/C][/ROW]
[ROW][C]0.87[/C][C]101.55287480107[/C][C]0.297092498922865[/C][/ROW]
[ROW][C]0.88[/C][C]101.66398566683[/C][C]0.315026095731383[/C][/ROW]
[ROW][C]0.89[/C][C]101.782445054807[/C][C]0.323441717308721[/C][/ROW]
[ROW][C]0.9[/C][C]101.903945965699[/C][C]0.315871919851463[/C][/ROW]
[ROW][C]0.91[/C][C]102.022471024319[/C][C]0.29060134551124[/C][/ROW]
[ROW][C]0.92[/C][C]102.131821222936[/C][C]0.250487963654842[/C][/ROW]
[ROW][C]0.93[/C][C]102.227261266297[/C][C]0.202001944642558[/C][/ROW]
[ROW][C]0.94[/C][C]102.307332059643[/C][C]0.153509746128305[/C][/ROW]
[ROW][C]0.95[/C][C]102.376152545348[/C][C]0.116627430522898[/C][/ROW]
[ROW][C]0.96[/C][C]102.445109168837[/C][C]0.107278094827997[/C][/ROW]
[ROW][C]0.97[/C][C]102.529784512506[/C][C]0.126675032098493[/C][/ROW]
[ROW][C]0.98[/C][C]102.640002780735[/C][C]0.139708247864747[/C][/ROW]
[ROW][C]0.99[/C][C]102.767477351629[/C][C]0.129707607143127[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0176.20197612213340.29619497241279
0.0276.50106561188170.341485554105475
0.0376.78519541670430.372205045511694
0.0477.0386832549710.370081434142677
0.0577.27050209055830.407100852540422
0.0677.50812359177830.521564383977765
0.0777.78115500757140.683705013050527
0.0878.10469628238160.850554382473792
0.0978.47698389193790.993695122282712
0.178.88748832786471.10880715799165
0.1179.32751777671531.21868931929672
0.1279.79796492336741.36517729122727
0.1380.31106049129311.584752526889
0.1480.88525004402621.87917404983199
0.1581.5354371200352.20805919574608
0.1682.26333433627192.50556628838937
0.1783.05265709955632.70591327934147
0.1883.87129535379152.76595506395627
0.1984.67912899686612.67797324846783
0.285.4378453941712.46610756398782
0.2186.11893747507362.17586798517611
0.2286.70759190574761.85757758341794
0.2387.2022473036321.5535117055128
0.2487.61114753285421.29034507795946
0.2587.94777640183171.07814855551332
0.2688.22677418677510.914779803335666
0.2788.46122858453040.79053178756076
0.2888.66150975062880.693814164314873
0.2988.83531814382810.616310963828771
0.388.98839887049680.553726981154459
0.3189.12540030455690.505169423076512
0.3289.2505238588560.471441652347326
0.3389.36782697155380.453795987963319
0.3489.48122400329490.452131584820349
0.3589.5943349764610.46410736559109
0.3689.7103513606440.487828890490436
0.3789.83204072831010.521018807780581
0.3889.96193041149870.564046150418561
0.3990.10262572108640.617703758038579
0.490.2571538074720.685733531018397
0.4190.42919349283810.772210429160025
0.4290.62306084830970.880162418249362
0.4390.8433701021351.00995167776142
0.4491.09437191855881.15757607300025
0.4591.37906854928731.315514242463
0.4691.69829149689891.47089920299662
0.4792.04997346877621.60974028075325
0.4892.42883161156861.71697471421971
0.4992.82659961409321.7805896438505
0.593.23281991425671.79310172565861
0.5193.63606899997971.75314108428915
0.5294.02537998754411.66637395887749
0.5394.39158067976161.54315318442374
0.5494.72829569912571.39798107664923
0.5595.03245679048271.24598021964009
0.5695.30429383353871.10180353172265
0.5795.54689891117470.976682164792329
0.5895.76553073718610.878667008054084
0.5995.96683868072420.813064908621038
0.696.15814019868240.780326149494234
0.6196.34680903904820.779909375720738
0.6296.53976015609580.808419922087254
0.6396.7429819213880.860014591053777
0.6496.96108002851850.927619740614931
0.6597.19684978726881.00236002039769
0.6697.450954053311.07394306664841
0.6797.72181657204891.13290928600751
0.6898.00582019571531.17147340198786
0.6998.29782619230311.18480081789562
0.798.59193140377611.17193969390445
0.7198.88229648213981.13540433814909
0.7299.16384883564931.08046186920386
0.7399.43270394886091.01294088289602
0.7499.68624419050690.938885288129431
0.7599.92290745938350.862070625441996
0.76100.1418250562270.784862218478847
0.77100.3424781171450.707680687261723
0.78100.5245097683560.630674132808083
0.79100.6877565528390.554490930163837
0.8100.8324806670380.480647169068149
0.81100.9597202526730.411997833711047
0.82101.0716355565110.352674565815079
0.83101.1717077628630.306967002759262
0.84101.264644259420.279047923142441
0.85101.3558789994540.270606580699891
0.86101.4506585456780.279037996940187
0.87101.552874801070.297092498922865
0.88101.663985666830.315026095731383
0.89101.7824450548070.323441717308721
0.9101.9039459656990.315871919851463
0.91102.0224710243190.29060134551124
0.92102.1318212229360.250487963654842
0.93102.2272612662970.202001944642558
0.94102.3073320596430.153509746128305
0.95102.3761525453480.116627430522898
0.96102.4451091688370.107278094827997
0.97102.5297845125060.126675032098493
0.98102.6400027807350.139708247864747
0.99102.7674773516290.129707607143127


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')