FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 08 Oct 2014 21:22:38 +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/2014/Oct/08/t1412799809b0e971s4gfluug6.htm/, Retrieved Sat, 11 May 2024 23:53:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=239854, Retrieved Sat, 11 May 2024 23:53:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact72

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] [Gemiddelde prijs ...] [2014-10-08 20:22:38] [6100e5aa5cdb51a951984168d031078f] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
110.48
111.41
115.5
118.32
118.42
117.5
110.23
109.19
118.41
118.3
116.1
114.11
113.41
114.33
116.61
123.64
123.77
123.39
116.03
114.95
123.4
123.53
114.45
114.26
114.35
112.77
115.31
114.93
116.38
115.07
105
103.43
114.52
115.04
117.16
115
116.22
112.92
116.56
114.32
113.22
111.56
103.87
102.85
112.27
112.76
118.55
122.73
115.44
116.97
119.84
116.37
117.23
115.58
109.82
108.46
116.54
117.49
122.87
127.1
119.81
120.03
128.58
120.4
121.54
118.71
111.57
109.97
120.29
120.61
130.15
136.12

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239854&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239854&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239854&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01103.0894182952510.660966284734809
0.02103.5453344188951.01958758926554
0.03104.1878038682971.55673411709626
0.04104.9833590320642.04219832555123
0.05105.875449291762.31096908012359
0.06106.7861011119562.31738016317658
0.07107.6402148175792.11908331606903
0.08108.3880631685461.82102384645505
0.09109.0125469455921.52193222095093
0.1109.5228241737871.28429947078665
0.11109.9421895650491.12936530314108
0.12110.2969983952681.04671460223074
0.13110.6097617036341.01175535021296
0.14110.8964876339441.00069221847757
0.15111.1668966834510.997266239376822
0.16111.4259707542690.992643747042265
0.17111.6757332862710.98365355484238
0.18111.9166931659590.96975871451238
0.19112.1487841516650.952130427855509
0.2112.371851115210.931791754560765
0.21112.5858169614750.909833701190885
0.22112.7906688528530.886364022889326
0.23112.9863747569550.860894215280021
0.24113.1728064064230.832638493005897
0.25113.3497119795730.800437273521394
0.26113.5167530814120.763923511409039
0.27113.6735966095440.723438744306503
0.28113.8200348930840.67996927952283
0.29113.9560998131230.635254406960691
0.3114.0821397024980.59184490095828
0.31114.1988399738820.551796694691167
0.32114.3071851393060.517379624367198
0.33114.4083754961650.48920390035616
0.34114.5037215480270.467986973306679
0.35114.5945409948920.453162615671228
0.36114.6820775827450.444290354269486
0.37114.7674511805340.439970588810772
0.38114.8516379510060.43994494156911
0.39114.9354716734160.443328803243908
0.4115.0196539784380.449857645903239
0.41115.1047625649460.458983075439018
0.42115.1912510881370.470134350522433
0.43115.2794403256530.482683362714278
0.44115.369505440290.495679307095804
0.45115.4614672227810.507949819815303
0.46115.5551954989170.518907448294414
0.47115.6504306156850.527364928800548
0.48115.7468248782630.533014122772776
0.49115.8440011010580.535915409179182
0.5115.9416211897690.536442570411458
0.51116.0394548063190.535397235069402
0.52116.1374372440260.534036941178208
0.53116.2357067925870.533786701338279
0.54116.3346148307350.53597610206025
0.55116.4347060605550.541830236394223
0.56116.536670929810.552220379299732
0.57116.6412766089660.567265270387688
0.58116.7492862681550.58654144589283
0.59116.8613784258370.608995258206078
0.6116.978078618780.633790972906058
0.61117.0997145150860.659158105377138
0.62117.2264028557440.683893745568823
0.63117.3580722994590.706649766775985
0.64117.4945205353210.726783392174322
0.65117.6354974462390.744337217927774
0.66117.7807997493340.759434200131136
0.67117.9303581118440.773329030416366
0.68118.0842972509490.787442269645058
0.69118.2429545796020.803180695042084
0.7118.4068538044480.821767611068398
0.71118.5766445635880.843575260287241
0.72118.7530333363150.868199231893465
0.73118.9367384756370.89479866353853
0.74119.1284976395840.922414072759615
0.75119.3291364293760.950918052756324
0.76119.5396753960170.981088311941359
0.77119.7614179327641.01494064561754
0.78119.9959382064031.05461693392117
0.79120.2448914424621.10157759235006
0.8120.5096086975831.15461044134818
0.81120.7905137255661.20901330952985
0.82121.0864954296271.25622892620915
0.83121.3944584578341.28591481992027
0.84121.7093255144521.28787887717538
0.85122.0247532107481.25566041612551
0.86122.3347367369721.18967277983197
0.87122.6361130374021.09993156603935
0.88122.9317165537861.00855748981403
0.89123.2335744163860.952106279233072
0.9123.5650637781180.979301735954779
0.91123.96057615921.13125953441671
0.92124.4614800590211.41007576495956
0.93125.1089785497581.77005736905308
0.94125.9385673053272.13186879778161
0.95126.9855989448842.41744510596248
0.96128.3082976042932.62372718423558
0.97130.0044689651432.92686729226743
0.98132.1332962622563.65444621736115
0.99134.4443283659974.84745039256697

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 103.089418295251 & 0.660966284734809 \tabularnewline
0.02 & 103.545334418895 & 1.01958758926554 \tabularnewline
0.03 & 104.187803868297 & 1.55673411709626 \tabularnewline
0.04 & 104.983359032064 & 2.04219832555123 \tabularnewline
0.05 & 105.87544929176 & 2.31096908012359 \tabularnewline
0.06 & 106.786101111956 & 2.31738016317658 \tabularnewline
0.07 & 107.640214817579 & 2.11908331606903 \tabularnewline
0.08 & 108.388063168546 & 1.82102384645505 \tabularnewline
0.09 & 109.012546945592 & 1.52193222095093 \tabularnewline
0.1 & 109.522824173787 & 1.28429947078665 \tabularnewline
0.11 & 109.942189565049 & 1.12936530314108 \tabularnewline
0.12 & 110.296998395268 & 1.04671460223074 \tabularnewline
0.13 & 110.609761703634 & 1.01175535021296 \tabularnewline
0.14 & 110.896487633944 & 1.00069221847757 \tabularnewline
0.15 & 111.166896683451 & 0.997266239376822 \tabularnewline
0.16 & 111.425970754269 & 0.992643747042265 \tabularnewline
0.17 & 111.675733286271 & 0.98365355484238 \tabularnewline
0.18 & 111.916693165959 & 0.96975871451238 \tabularnewline
0.19 & 112.148784151665 & 0.952130427855509 \tabularnewline
0.2 & 112.37185111521 & 0.931791754560765 \tabularnewline
0.21 & 112.585816961475 & 0.909833701190885 \tabularnewline
0.22 & 112.790668852853 & 0.886364022889326 \tabularnewline
0.23 & 112.986374756955 & 0.860894215280021 \tabularnewline
0.24 & 113.172806406423 & 0.832638493005897 \tabularnewline
0.25 & 113.349711979573 & 0.800437273521394 \tabularnewline
0.26 & 113.516753081412 & 0.763923511409039 \tabularnewline
0.27 & 113.673596609544 & 0.723438744306503 \tabularnewline
0.28 & 113.820034893084 & 0.67996927952283 \tabularnewline
0.29 & 113.956099813123 & 0.635254406960691 \tabularnewline
0.3 & 114.082139702498 & 0.59184490095828 \tabularnewline
0.31 & 114.198839973882 & 0.551796694691167 \tabularnewline
0.32 & 114.307185139306 & 0.517379624367198 \tabularnewline
0.33 & 114.408375496165 & 0.48920390035616 \tabularnewline
0.34 & 114.503721548027 & 0.467986973306679 \tabularnewline
0.35 & 114.594540994892 & 0.453162615671228 \tabularnewline
0.36 & 114.682077582745 & 0.444290354269486 \tabularnewline
0.37 & 114.767451180534 & 0.439970588810772 \tabularnewline
0.38 & 114.851637951006 & 0.43994494156911 \tabularnewline
0.39 & 114.935471673416 & 0.443328803243908 \tabularnewline
0.4 & 115.019653978438 & 0.449857645903239 \tabularnewline
0.41 & 115.104762564946 & 0.458983075439018 \tabularnewline
0.42 & 115.191251088137 & 0.470134350522433 \tabularnewline
0.43 & 115.279440325653 & 0.482683362714278 \tabularnewline
0.44 & 115.36950544029 & 0.495679307095804 \tabularnewline
0.45 & 115.461467222781 & 0.507949819815303 \tabularnewline
0.46 & 115.555195498917 & 0.518907448294414 \tabularnewline
0.47 & 115.650430615685 & 0.527364928800548 \tabularnewline
0.48 & 115.746824878263 & 0.533014122772776 \tabularnewline
0.49 & 115.844001101058 & 0.535915409179182 \tabularnewline
0.5 & 115.941621189769 & 0.536442570411458 \tabularnewline
0.51 & 116.039454806319 & 0.535397235069402 \tabularnewline
0.52 & 116.137437244026 & 0.534036941178208 \tabularnewline
0.53 & 116.235706792587 & 0.533786701338279 \tabularnewline
0.54 & 116.334614830735 & 0.53597610206025 \tabularnewline
0.55 & 116.434706060555 & 0.541830236394223 \tabularnewline
0.56 & 116.53667092981 & 0.552220379299732 \tabularnewline
0.57 & 116.641276608966 & 0.567265270387688 \tabularnewline
0.58 & 116.749286268155 & 0.58654144589283 \tabularnewline
0.59 & 116.861378425837 & 0.608995258206078 \tabularnewline
0.6 & 116.97807861878 & 0.633790972906058 \tabularnewline
0.61 & 117.099714515086 & 0.659158105377138 \tabularnewline
0.62 & 117.226402855744 & 0.683893745568823 \tabularnewline
0.63 & 117.358072299459 & 0.706649766775985 \tabularnewline
0.64 & 117.494520535321 & 0.726783392174322 \tabularnewline
0.65 & 117.635497446239 & 0.744337217927774 \tabularnewline
0.66 & 117.780799749334 & 0.759434200131136 \tabularnewline
0.67 & 117.930358111844 & 0.773329030416366 \tabularnewline
0.68 & 118.084297250949 & 0.787442269645058 \tabularnewline
0.69 & 118.242954579602 & 0.803180695042084 \tabularnewline
0.7 & 118.406853804448 & 0.821767611068398 \tabularnewline
0.71 & 118.576644563588 & 0.843575260287241 \tabularnewline
0.72 & 118.753033336315 & 0.868199231893465 \tabularnewline
0.73 & 118.936738475637 & 0.89479866353853 \tabularnewline
0.74 & 119.128497639584 & 0.922414072759615 \tabularnewline
0.75 & 119.329136429376 & 0.950918052756324 \tabularnewline
0.76 & 119.539675396017 & 0.981088311941359 \tabularnewline
0.77 & 119.761417932764 & 1.01494064561754 \tabularnewline
0.78 & 119.995938206403 & 1.05461693392117 \tabularnewline
0.79 & 120.244891442462 & 1.10157759235006 \tabularnewline
0.8 & 120.509608697583 & 1.15461044134818 \tabularnewline
0.81 & 120.790513725566 & 1.20901330952985 \tabularnewline
0.82 & 121.086495429627 & 1.25622892620915 \tabularnewline
0.83 & 121.394458457834 & 1.28591481992027 \tabularnewline
0.84 & 121.709325514452 & 1.28787887717538 \tabularnewline
0.85 & 122.024753210748 & 1.25566041612551 \tabularnewline
0.86 & 122.334736736972 & 1.18967277983197 \tabularnewline
0.87 & 122.636113037402 & 1.09993156603935 \tabularnewline
0.88 & 122.931716553786 & 1.00855748981403 \tabularnewline
0.89 & 123.233574416386 & 0.952106279233072 \tabularnewline
0.9 & 123.565063778118 & 0.979301735954779 \tabularnewline
0.91 & 123.9605761592 & 1.13125953441671 \tabularnewline
0.92 & 124.461480059021 & 1.41007576495956 \tabularnewline
0.93 & 125.108978549758 & 1.77005736905308 \tabularnewline
0.94 & 125.938567305327 & 2.13186879778161 \tabularnewline
0.95 & 126.985598944884 & 2.41744510596248 \tabularnewline
0.96 & 128.308297604293 & 2.62372718423558 \tabularnewline
0.97 & 130.004468965143 & 2.92686729226743 \tabularnewline
0.98 & 132.133296262256 & 3.65444621736115 \tabularnewline
0.99 & 134.444328365997 & 4.84745039256697 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239854&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]103.089418295251[/C][C]0.660966284734809[/C][/ROW]
[ROW][C]0.02[/C][C]103.545334418895[/C][C]1.01958758926554[/C][/ROW]
[ROW][C]0.03[/C][C]104.187803868297[/C][C]1.55673411709626[/C][/ROW]
[ROW][C]0.04[/C][C]104.983359032064[/C][C]2.04219832555123[/C][/ROW]
[ROW][C]0.05[/C][C]105.87544929176[/C][C]2.31096908012359[/C][/ROW]
[ROW][C]0.06[/C][C]106.786101111956[/C][C]2.31738016317658[/C][/ROW]
[ROW][C]0.07[/C][C]107.640214817579[/C][C]2.11908331606903[/C][/ROW]
[ROW][C]0.08[/C][C]108.388063168546[/C][C]1.82102384645505[/C][/ROW]
[ROW][C]0.09[/C][C]109.012546945592[/C][C]1.52193222095093[/C][/ROW]
[ROW][C]0.1[/C][C]109.522824173787[/C][C]1.28429947078665[/C][/ROW]
[ROW][C]0.11[/C][C]109.942189565049[/C][C]1.12936530314108[/C][/ROW]
[ROW][C]0.12[/C][C]110.296998395268[/C][C]1.04671460223074[/C][/ROW]
[ROW][C]0.13[/C][C]110.609761703634[/C][C]1.01175535021296[/C][/ROW]
[ROW][C]0.14[/C][C]110.896487633944[/C][C]1.00069221847757[/C][/ROW]
[ROW][C]0.15[/C][C]111.166896683451[/C][C]0.997266239376822[/C][/ROW]
[ROW][C]0.16[/C][C]111.425970754269[/C][C]0.992643747042265[/C][/ROW]
[ROW][C]0.17[/C][C]111.675733286271[/C][C]0.98365355484238[/C][/ROW]
[ROW][C]0.18[/C][C]111.916693165959[/C][C]0.96975871451238[/C][/ROW]
[ROW][C]0.19[/C][C]112.148784151665[/C][C]0.952130427855509[/C][/ROW]
[ROW][C]0.2[/C][C]112.37185111521[/C][C]0.931791754560765[/C][/ROW]
[ROW][C]0.21[/C][C]112.585816961475[/C][C]0.909833701190885[/C][/ROW]
[ROW][C]0.22[/C][C]112.790668852853[/C][C]0.886364022889326[/C][/ROW]
[ROW][C]0.23[/C][C]112.986374756955[/C][C]0.860894215280021[/C][/ROW]
[ROW][C]0.24[/C][C]113.172806406423[/C][C]0.832638493005897[/C][/ROW]
[ROW][C]0.25[/C][C]113.349711979573[/C][C]0.800437273521394[/C][/ROW]
[ROW][C]0.26[/C][C]113.516753081412[/C][C]0.763923511409039[/C][/ROW]
[ROW][C]0.27[/C][C]113.673596609544[/C][C]0.723438744306503[/C][/ROW]
[ROW][C]0.28[/C][C]113.820034893084[/C][C]0.67996927952283[/C][/ROW]
[ROW][C]0.29[/C][C]113.956099813123[/C][C]0.635254406960691[/C][/ROW]
[ROW][C]0.3[/C][C]114.082139702498[/C][C]0.59184490095828[/C][/ROW]
[ROW][C]0.31[/C][C]114.198839973882[/C][C]0.551796694691167[/C][/ROW]
[ROW][C]0.32[/C][C]114.307185139306[/C][C]0.517379624367198[/C][/ROW]
[ROW][C]0.33[/C][C]114.408375496165[/C][C]0.48920390035616[/C][/ROW]
[ROW][C]0.34[/C][C]114.503721548027[/C][C]0.467986973306679[/C][/ROW]
[ROW][C]0.35[/C][C]114.594540994892[/C][C]0.453162615671228[/C][/ROW]
[ROW][C]0.36[/C][C]114.682077582745[/C][C]0.444290354269486[/C][/ROW]
[ROW][C]0.37[/C][C]114.767451180534[/C][C]0.439970588810772[/C][/ROW]
[ROW][C]0.38[/C][C]114.851637951006[/C][C]0.43994494156911[/C][/ROW]
[ROW][C]0.39[/C][C]114.935471673416[/C][C]0.443328803243908[/C][/ROW]
[ROW][C]0.4[/C][C]115.019653978438[/C][C]0.449857645903239[/C][/ROW]
[ROW][C]0.41[/C][C]115.104762564946[/C][C]0.458983075439018[/C][/ROW]
[ROW][C]0.42[/C][C]115.191251088137[/C][C]0.470134350522433[/C][/ROW]
[ROW][C]0.43[/C][C]115.279440325653[/C][C]0.482683362714278[/C][/ROW]
[ROW][C]0.44[/C][C]115.36950544029[/C][C]0.495679307095804[/C][/ROW]
[ROW][C]0.45[/C][C]115.461467222781[/C][C]0.507949819815303[/C][/ROW]
[ROW][C]0.46[/C][C]115.555195498917[/C][C]0.518907448294414[/C][/ROW]
[ROW][C]0.47[/C][C]115.650430615685[/C][C]0.527364928800548[/C][/ROW]
[ROW][C]0.48[/C][C]115.746824878263[/C][C]0.533014122772776[/C][/ROW]
[ROW][C]0.49[/C][C]115.844001101058[/C][C]0.535915409179182[/C][/ROW]
[ROW][C]0.5[/C][C]115.941621189769[/C][C]0.536442570411458[/C][/ROW]
[ROW][C]0.51[/C][C]116.039454806319[/C][C]0.535397235069402[/C][/ROW]
[ROW][C]0.52[/C][C]116.137437244026[/C][C]0.534036941178208[/C][/ROW]
[ROW][C]0.53[/C][C]116.235706792587[/C][C]0.533786701338279[/C][/ROW]
[ROW][C]0.54[/C][C]116.334614830735[/C][C]0.53597610206025[/C][/ROW]
[ROW][C]0.55[/C][C]116.434706060555[/C][C]0.541830236394223[/C][/ROW]
[ROW][C]0.56[/C][C]116.53667092981[/C][C]0.552220379299732[/C][/ROW]
[ROW][C]0.57[/C][C]116.641276608966[/C][C]0.567265270387688[/C][/ROW]
[ROW][C]0.58[/C][C]116.749286268155[/C][C]0.58654144589283[/C][/ROW]
[ROW][C]0.59[/C][C]116.861378425837[/C][C]0.608995258206078[/C][/ROW]
[ROW][C]0.6[/C][C]116.97807861878[/C][C]0.633790972906058[/C][/ROW]
[ROW][C]0.61[/C][C]117.099714515086[/C][C]0.659158105377138[/C][/ROW]
[ROW][C]0.62[/C][C]117.226402855744[/C][C]0.683893745568823[/C][/ROW]
[ROW][C]0.63[/C][C]117.358072299459[/C][C]0.706649766775985[/C][/ROW]
[ROW][C]0.64[/C][C]117.494520535321[/C][C]0.726783392174322[/C][/ROW]
[ROW][C]0.65[/C][C]117.635497446239[/C][C]0.744337217927774[/C][/ROW]
[ROW][C]0.66[/C][C]117.780799749334[/C][C]0.759434200131136[/C][/ROW]
[ROW][C]0.67[/C][C]117.930358111844[/C][C]0.773329030416366[/C][/ROW]
[ROW][C]0.68[/C][C]118.084297250949[/C][C]0.787442269645058[/C][/ROW]
[ROW][C]0.69[/C][C]118.242954579602[/C][C]0.803180695042084[/C][/ROW]
[ROW][C]0.7[/C][C]118.406853804448[/C][C]0.821767611068398[/C][/ROW]
[ROW][C]0.71[/C][C]118.576644563588[/C][C]0.843575260287241[/C][/ROW]
[ROW][C]0.72[/C][C]118.753033336315[/C][C]0.868199231893465[/C][/ROW]
[ROW][C]0.73[/C][C]118.936738475637[/C][C]0.89479866353853[/C][/ROW]
[ROW][C]0.74[/C][C]119.128497639584[/C][C]0.922414072759615[/C][/ROW]
[ROW][C]0.75[/C][C]119.329136429376[/C][C]0.950918052756324[/C][/ROW]
[ROW][C]0.76[/C][C]119.539675396017[/C][C]0.981088311941359[/C][/ROW]
[ROW][C]0.77[/C][C]119.761417932764[/C][C]1.01494064561754[/C][/ROW]
[ROW][C]0.78[/C][C]119.995938206403[/C][C]1.05461693392117[/C][/ROW]
[ROW][C]0.79[/C][C]120.244891442462[/C][C]1.10157759235006[/C][/ROW]
[ROW][C]0.8[/C][C]120.509608697583[/C][C]1.15461044134818[/C][/ROW]
[ROW][C]0.81[/C][C]120.790513725566[/C][C]1.20901330952985[/C][/ROW]
[ROW][C]0.82[/C][C]121.086495429627[/C][C]1.25622892620915[/C][/ROW]
[ROW][C]0.83[/C][C]121.394458457834[/C][C]1.28591481992027[/C][/ROW]
[ROW][C]0.84[/C][C]121.709325514452[/C][C]1.28787887717538[/C][/ROW]
[ROW][C]0.85[/C][C]122.024753210748[/C][C]1.25566041612551[/C][/ROW]
[ROW][C]0.86[/C][C]122.334736736972[/C][C]1.18967277983197[/C][/ROW]
[ROW][C]0.87[/C][C]122.636113037402[/C][C]1.09993156603935[/C][/ROW]
[ROW][C]0.88[/C][C]122.931716553786[/C][C]1.00855748981403[/C][/ROW]
[ROW][C]0.89[/C][C]123.233574416386[/C][C]0.952106279233072[/C][/ROW]
[ROW][C]0.9[/C][C]123.565063778118[/C][C]0.979301735954779[/C][/ROW]
[ROW][C]0.91[/C][C]123.9605761592[/C][C]1.13125953441671[/C][/ROW]
[ROW][C]0.92[/C][C]124.461480059021[/C][C]1.41007576495956[/C][/ROW]
[ROW][C]0.93[/C][C]125.108978549758[/C][C]1.77005736905308[/C][/ROW]
[ROW][C]0.94[/C][C]125.938567305327[/C][C]2.13186879778161[/C][/ROW]
[ROW][C]0.95[/C][C]126.985598944884[/C][C]2.41744510596248[/C][/ROW]
[ROW][C]0.96[/C][C]128.308297604293[/C][C]2.62372718423558[/C][/ROW]
[ROW][C]0.97[/C][C]130.004468965143[/C][C]2.92686729226743[/C][/ROW]
[ROW][C]0.98[/C][C]132.133296262256[/C][C]3.65444621736115[/C][/ROW]
[ROW][C]0.99[/C][C]134.444328365997[/C][C]4.84745039256697[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239854&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239854&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
0.01103.0894182952510.660966284734809
0.02103.5453344188951.01958758926554
0.03104.1878038682971.55673411709626
0.04104.9833590320642.04219832555123
0.05105.875449291762.31096908012359
0.06106.7861011119562.31738016317658
0.07107.6402148175792.11908331606903
0.08108.3880631685461.82102384645505
0.09109.0125469455921.52193222095093
0.1109.5228241737871.28429947078665
0.11109.9421895650491.12936530314108
0.12110.2969983952681.04671460223074
0.13110.6097617036341.01175535021296
0.14110.8964876339441.00069221847757
0.15111.1668966834510.997266239376822
0.16111.4259707542690.992643747042265
0.17111.6757332862710.98365355484238
0.18111.9166931659590.96975871451238
0.19112.1487841516650.952130427855509
0.2112.371851115210.931791754560765
0.21112.5858169614750.909833701190885
0.22112.7906688528530.886364022889326
0.23112.9863747569550.860894215280021
0.24113.1728064064230.832638493005897
0.25113.3497119795730.800437273521394
0.26113.5167530814120.763923511409039
0.27113.6735966095440.723438744306503
0.28113.8200348930840.67996927952283
0.29113.9560998131230.635254406960691
0.3114.0821397024980.59184490095828
0.31114.1988399738820.551796694691167
0.32114.3071851393060.517379624367198
0.33114.4083754961650.48920390035616
0.34114.5037215480270.467986973306679
0.35114.5945409948920.453162615671228
0.36114.6820775827450.444290354269486
0.37114.7674511805340.439970588810772
0.38114.8516379510060.43994494156911
0.39114.9354716734160.443328803243908
0.4115.0196539784380.449857645903239
0.41115.1047625649460.458983075439018
0.42115.1912510881370.470134350522433
0.43115.2794403256530.482683362714278
0.44115.369505440290.495679307095804
0.45115.4614672227810.507949819815303
0.46115.5551954989170.518907448294414
0.47115.6504306156850.527364928800548
0.48115.7468248782630.533014122772776
0.49115.8440011010580.535915409179182
0.5115.9416211897690.536442570411458
0.51116.0394548063190.535397235069402
0.52116.1374372440260.534036941178208
0.53116.2357067925870.533786701338279
0.54116.3346148307350.53597610206025
0.55116.4347060605550.541830236394223
0.56116.536670929810.552220379299732
0.57116.6412766089660.567265270387688
0.58116.7492862681550.58654144589283
0.59116.8613784258370.608995258206078
0.6116.978078618780.633790972906058
0.61117.0997145150860.659158105377138
0.62117.2264028557440.683893745568823
0.63117.3580722994590.706649766775985
0.64117.4945205353210.726783392174322
0.65117.6354974462390.744337217927774
0.66117.7807997493340.759434200131136
0.67117.9303581118440.773329030416366
0.68118.0842972509490.787442269645058
0.69118.2429545796020.803180695042084
0.7118.4068538044480.821767611068398
0.71118.5766445635880.843575260287241
0.72118.7530333363150.868199231893465
0.73118.9367384756370.89479866353853
0.74119.1284976395840.922414072759615
0.75119.3291364293760.950918052756324
0.76119.5396753960170.981088311941359
0.77119.7614179327641.01494064561754
0.78119.9959382064031.05461693392117
0.79120.2448914424621.10157759235006
0.8120.5096086975831.15461044134818
0.81120.7905137255661.20901330952985
0.82121.0864954296271.25622892620915
0.83121.3944584578341.28591481992027
0.84121.7093255144521.28787887717538
0.85122.0247532107481.25566041612551
0.86122.3347367369721.18967277983197
0.87122.6361130374021.09993156603935
0.88122.9317165537861.00855748981403
0.89123.2335744163860.952106279233072
0.9123.5650637781180.979301735954779
0.91123.96057615921.13125953441671
0.92124.4614800590211.41007576495956
0.93125.1089785497581.77005736905308
0.94125.9385673053272.13186879778161
0.95126.9855989448842.41744510596248
0.96128.3082976042932.62372718423558
0.97130.0044689651432.92686729226743
0.98132.1332962622563.65444621736115
0.99134.4443283659974.84745039256697


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')