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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, 08 Oct 2013 15:42:20 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/08/t1381261415ejvfeiley3brjzc.htm/, Retrieved Mon, 29 Apr 2024 19:58:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=214264, Retrieved Mon, 29 Apr 2024 19:58:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsIndexprijzen cola-limonade - Harrell-Davis decielen Karel de Grote-Hgeschool Valerie weyts
Estimated Impact115

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Datareeks - Index...] [2013-09-23 20:15:20] [74be16979710d4c4e7c6647856088456]
- RMPD  [Histogram] [Histogram - Index...] [2013-10-01 20:36:53] [ba0d20b2fbb0c8f9ef8b1828cc8a0bda]
- RMP       [Harrell-Davis Quantiles] [Indexprijzen cola...] [2013-10-08 19:42:20] [feb2df3f24188fb89c42f3077ec68a56] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100.17
101.13
99.25
99.69
101.04
99.79
100.35
101.45
100.4
100.52
102.52
101.23
102.14
101.06
100.31
101.18
101.28
101.99
101.34
100.5
103.74
104.19
102.23
103.32
104.67
103.22
102.64
105.26
103.63
102.71
104.34
102.92
105.92
107.39
105.68
105.86
107.05
106.77
105.88
106.23
107.53
105.51
107.37
105.61
108.38
109.6
106.62
105.69
107.06
105.67
106.24
107.9
105.91
106.44
107.69
105.9
108.59
111.36
109.36
109.21
111.3
109.21
110.95
110.89
111.04
108.96
110.5
109.02
112.87
112.73
113.28
113.53
112.99
112.68
114.26
114.28
114.28
114.2
113.64
114.2
116.68
116.73
118.71
117.8

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=214264&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=214264&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=214264&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
0.0199.40741997820770.356835981485694
0.0299.62716551665550.299557711356505
0.0399.83197363662640.289870113301123
0.04100.0041644348880.281431270617759
0.05100.1481320077690.260691965685282
0.06100.2706313222160.244976046485174
0.07100.379096219780.249247356478983
0.08100.481152672360.271530015434222
0.09100.5825031148190.299598205804917
0.1100.6855764591740.322085113791043
0.11100.7899506235020.33397145952676
0.12100.8939060960040.336420781788063
0.13100.9960688012950.335984586413046
0.14101.0964306476690.340788220933076
0.15101.196530910.357500581788925
0.16101.2989657442040.387979873567368
0.17101.4065794443020.430012786737938
0.18101.5216938115790.478547999457198
0.19101.6456174876420.527990704407428
0.2101.778523220540.57374843860737
0.21101.9196480821270.613122358336389
0.22102.067690988030.645484440120686
0.23102.221258893790.672209463363604
0.24102.3792360638260.695851490213977
0.25102.5410000402790.719189605074856
0.26102.7064628375490.745014034922924
0.27102.875960619070.77417694360628
0.28103.0500415706190.807244263622016
0.29103.2292096059770.842704091575408
0.3103.4136760505340.878385323744219
0.31103.603159404860.910997988808624
0.32103.7967601278710.937222582965962
0.33103.9929256076790.953535241228311
0.34104.1895100265910.957009412094812
0.35104.3839234993280.946015812426036
0.36104.5733540311310.919410399082394
0.37104.7550353206480.87811408214783
0.38104.9265253589450.824624731319359
0.39105.0859576412180.761976538147063
0.4105.232230224820.694704065549396
0.41105.3651077032320.627574254960257
0.42105.4852254249530.565133141999383
0.43105.5940007555530.511453163477686
0.44105.6934695110530.469867119773021
0.45105.7860744334290.442294485489359
0.46105.8744357798290.429278610642946
0.47105.9611322777970.430024869232346
0.48106.0485153465160.442324444215789
0.49106.1385723418260.463558590845574
0.5106.2328470587940.490945773377331
0.51106.3324186272930.521816535889881
0.52106.437933551660.553865009707576
0.53106.5496800532870.585482344083142
0.54106.6676892825750.615801678527807
0.55106.7918449093350.644498832755098
0.56106.9219818984790.671616910425795
0.57107.0579577512010.697837085208563
0.58107.1996855236370.723462856914118
0.59107.3471270306970.749162055219238
0.6107.5002551785950.774634304805708
0.61107.6590037034130.799385119884531
0.62107.8232276390310.822617136605233
0.63107.9926960535780.843586228273302
0.64108.1671291319920.861719591328745
0.65108.3462762755120.877383542034099
0.66108.5300149705610.891274646979076
0.67108.7184378880540.904971628230542
0.68108.9118937665870.920423707961289
0.69109.1109588742320.938884957333209
0.7109.3163379383360.9607589896622
0.71109.5287187220650.985511195979441
0.72109.7486221450581.01139307332238
0.73109.9762906730681.03627312957323
0.74110.2116389551481.05813466138215
0.75110.4542594813721.07560785534532
0.76110.7034478712421.08793069931164
0.77110.9582044295111.09475225170618
0.78111.2171897836561.09509973624664
0.79111.4786556521951.08734320434149
0.8111.7404136940951.06931264466346
0.81111.9999164127621.03886717673569
0.82112.2544860368330.995546766168312
0.83112.5016494299670.940953817467071
0.84112.7394603743390.878865964353155
0.85112.9666741991680.813719371298407
0.86113.1827322168910.749371124358955
0.87113.3877177515430.687585988688571
0.88113.5826876066070.629068597329135
0.89113.7708914475110.576683420063606
0.9113.9601125827820.541724871796403
0.91114.1654766334610.549704879483068
0.92114.4107136141410.633521771181122
0.93114.7249823170820.801912089730405
0.94115.1337870118771.01417975854889
0.95115.6473603422441.19039644019576
0.96116.2552224709251.25347072889222
0.97116.9324090113651.18757456455255
0.98117.6421984952361.05215904839579
0.99118.2983239603740.934151979343578

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 99.4074199782077 & 0.356835981485694 \tabularnewline
0.02 & 99.6271655166555 & 0.299557711356505 \tabularnewline
0.03 & 99.8319736366264 & 0.289870113301123 \tabularnewline
0.04 & 100.004164434888 & 0.281431270617759 \tabularnewline
0.05 & 100.148132007769 & 0.260691965685282 \tabularnewline
0.06 & 100.270631322216 & 0.244976046485174 \tabularnewline
0.07 & 100.37909621978 & 0.249247356478983 \tabularnewline
0.08 & 100.48115267236 & 0.271530015434222 \tabularnewline
0.09 & 100.582503114819 & 0.299598205804917 \tabularnewline
0.1 & 100.685576459174 & 0.322085113791043 \tabularnewline
0.11 & 100.789950623502 & 0.33397145952676 \tabularnewline
0.12 & 100.893906096004 & 0.336420781788063 \tabularnewline
0.13 & 100.996068801295 & 0.335984586413046 \tabularnewline
0.14 & 101.096430647669 & 0.340788220933076 \tabularnewline
0.15 & 101.19653091 & 0.357500581788925 \tabularnewline
0.16 & 101.298965744204 & 0.387979873567368 \tabularnewline
0.17 & 101.406579444302 & 0.430012786737938 \tabularnewline
0.18 & 101.521693811579 & 0.478547999457198 \tabularnewline
0.19 & 101.645617487642 & 0.527990704407428 \tabularnewline
0.2 & 101.77852322054 & 0.57374843860737 \tabularnewline
0.21 & 101.919648082127 & 0.613122358336389 \tabularnewline
0.22 & 102.06769098803 & 0.645484440120686 \tabularnewline
0.23 & 102.22125889379 & 0.672209463363604 \tabularnewline
0.24 & 102.379236063826 & 0.695851490213977 \tabularnewline
0.25 & 102.541000040279 & 0.719189605074856 \tabularnewline
0.26 & 102.706462837549 & 0.745014034922924 \tabularnewline
0.27 & 102.87596061907 & 0.77417694360628 \tabularnewline
0.28 & 103.050041570619 & 0.807244263622016 \tabularnewline
0.29 & 103.229209605977 & 0.842704091575408 \tabularnewline
0.3 & 103.413676050534 & 0.878385323744219 \tabularnewline
0.31 & 103.60315940486 & 0.910997988808624 \tabularnewline
0.32 & 103.796760127871 & 0.937222582965962 \tabularnewline
0.33 & 103.992925607679 & 0.953535241228311 \tabularnewline
0.34 & 104.189510026591 & 0.957009412094812 \tabularnewline
0.35 & 104.383923499328 & 0.946015812426036 \tabularnewline
0.36 & 104.573354031131 & 0.919410399082394 \tabularnewline
0.37 & 104.755035320648 & 0.87811408214783 \tabularnewline
0.38 & 104.926525358945 & 0.824624731319359 \tabularnewline
0.39 & 105.085957641218 & 0.761976538147063 \tabularnewline
0.4 & 105.23223022482 & 0.694704065549396 \tabularnewline
0.41 & 105.365107703232 & 0.627574254960257 \tabularnewline
0.42 & 105.485225424953 & 0.565133141999383 \tabularnewline
0.43 & 105.594000755553 & 0.511453163477686 \tabularnewline
0.44 & 105.693469511053 & 0.469867119773021 \tabularnewline
0.45 & 105.786074433429 & 0.442294485489359 \tabularnewline
0.46 & 105.874435779829 & 0.429278610642946 \tabularnewline
0.47 & 105.961132277797 & 0.430024869232346 \tabularnewline
0.48 & 106.048515346516 & 0.442324444215789 \tabularnewline
0.49 & 106.138572341826 & 0.463558590845574 \tabularnewline
0.5 & 106.232847058794 & 0.490945773377331 \tabularnewline
0.51 & 106.332418627293 & 0.521816535889881 \tabularnewline
0.52 & 106.43793355166 & 0.553865009707576 \tabularnewline
0.53 & 106.549680053287 & 0.585482344083142 \tabularnewline
0.54 & 106.667689282575 & 0.615801678527807 \tabularnewline
0.55 & 106.791844909335 & 0.644498832755098 \tabularnewline
0.56 & 106.921981898479 & 0.671616910425795 \tabularnewline
0.57 & 107.057957751201 & 0.697837085208563 \tabularnewline
0.58 & 107.199685523637 & 0.723462856914118 \tabularnewline
0.59 & 107.347127030697 & 0.749162055219238 \tabularnewline
0.6 & 107.500255178595 & 0.774634304805708 \tabularnewline
0.61 & 107.659003703413 & 0.799385119884531 \tabularnewline
0.62 & 107.823227639031 & 0.822617136605233 \tabularnewline
0.63 & 107.992696053578 & 0.843586228273302 \tabularnewline
0.64 & 108.167129131992 & 0.861719591328745 \tabularnewline
0.65 & 108.346276275512 & 0.877383542034099 \tabularnewline
0.66 & 108.530014970561 & 0.891274646979076 \tabularnewline
0.67 & 108.718437888054 & 0.904971628230542 \tabularnewline
0.68 & 108.911893766587 & 0.920423707961289 \tabularnewline
0.69 & 109.110958874232 & 0.938884957333209 \tabularnewline
0.7 & 109.316337938336 & 0.9607589896622 \tabularnewline
0.71 & 109.528718722065 & 0.985511195979441 \tabularnewline
0.72 & 109.748622145058 & 1.01139307332238 \tabularnewline
0.73 & 109.976290673068 & 1.03627312957323 \tabularnewline
0.74 & 110.211638955148 & 1.05813466138215 \tabularnewline
0.75 & 110.454259481372 & 1.07560785534532 \tabularnewline
0.76 & 110.703447871242 & 1.08793069931164 \tabularnewline
0.77 & 110.958204429511 & 1.09475225170618 \tabularnewline
0.78 & 111.217189783656 & 1.09509973624664 \tabularnewline
0.79 & 111.478655652195 & 1.08734320434149 \tabularnewline
0.8 & 111.740413694095 & 1.06931264466346 \tabularnewline
0.81 & 111.999916412762 & 1.03886717673569 \tabularnewline
0.82 & 112.254486036833 & 0.995546766168312 \tabularnewline
0.83 & 112.501649429967 & 0.940953817467071 \tabularnewline
0.84 & 112.739460374339 & 0.878865964353155 \tabularnewline
0.85 & 112.966674199168 & 0.813719371298407 \tabularnewline
0.86 & 113.182732216891 & 0.749371124358955 \tabularnewline
0.87 & 113.387717751543 & 0.687585988688571 \tabularnewline
0.88 & 113.582687606607 & 0.629068597329135 \tabularnewline
0.89 & 113.770891447511 & 0.576683420063606 \tabularnewline
0.9 & 113.960112582782 & 0.541724871796403 \tabularnewline
0.91 & 114.165476633461 & 0.549704879483068 \tabularnewline
0.92 & 114.410713614141 & 0.633521771181122 \tabularnewline
0.93 & 114.724982317082 & 0.801912089730405 \tabularnewline
0.94 & 115.133787011877 & 1.01417975854889 \tabularnewline
0.95 & 115.647360342244 & 1.19039644019576 \tabularnewline
0.96 & 116.255222470925 & 1.25347072889222 \tabularnewline
0.97 & 116.932409011365 & 1.18757456455255 \tabularnewline
0.98 & 117.642198495236 & 1.05215904839579 \tabularnewline
0.99 & 118.298323960374 & 0.934151979343578 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=214264&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]99.4074199782077[/C][C]0.356835981485694[/C][/ROW]
[ROW][C]0.02[/C][C]99.6271655166555[/C][C]0.299557711356505[/C][/ROW]
[ROW][C]0.03[/C][C]99.8319736366264[/C][C]0.289870113301123[/C][/ROW]
[ROW][C]0.04[/C][C]100.004164434888[/C][C]0.281431270617759[/C][/ROW]
[ROW][C]0.05[/C][C]100.148132007769[/C][C]0.260691965685282[/C][/ROW]
[ROW][C]0.06[/C][C]100.270631322216[/C][C]0.244976046485174[/C][/ROW]
[ROW][C]0.07[/C][C]100.37909621978[/C][C]0.249247356478983[/C][/ROW]
[ROW][C]0.08[/C][C]100.48115267236[/C][C]0.271530015434222[/C][/ROW]
[ROW][C]0.09[/C][C]100.582503114819[/C][C]0.299598205804917[/C][/ROW]
[ROW][C]0.1[/C][C]100.685576459174[/C][C]0.322085113791043[/C][/ROW]
[ROW][C]0.11[/C][C]100.789950623502[/C][C]0.33397145952676[/C][/ROW]
[ROW][C]0.12[/C][C]100.893906096004[/C][C]0.336420781788063[/C][/ROW]
[ROW][C]0.13[/C][C]100.996068801295[/C][C]0.335984586413046[/C][/ROW]
[ROW][C]0.14[/C][C]101.096430647669[/C][C]0.340788220933076[/C][/ROW]
[ROW][C]0.15[/C][C]101.19653091[/C][C]0.357500581788925[/C][/ROW]
[ROW][C]0.16[/C][C]101.298965744204[/C][C]0.387979873567368[/C][/ROW]
[ROW][C]0.17[/C][C]101.406579444302[/C][C]0.430012786737938[/C][/ROW]
[ROW][C]0.18[/C][C]101.521693811579[/C][C]0.478547999457198[/C][/ROW]
[ROW][C]0.19[/C][C]101.645617487642[/C][C]0.527990704407428[/C][/ROW]
[ROW][C]0.2[/C][C]101.77852322054[/C][C]0.57374843860737[/C][/ROW]
[ROW][C]0.21[/C][C]101.919648082127[/C][C]0.613122358336389[/C][/ROW]
[ROW][C]0.22[/C][C]102.06769098803[/C][C]0.645484440120686[/C][/ROW]
[ROW][C]0.23[/C][C]102.22125889379[/C][C]0.672209463363604[/C][/ROW]
[ROW][C]0.24[/C][C]102.379236063826[/C][C]0.695851490213977[/C][/ROW]
[ROW][C]0.25[/C][C]102.541000040279[/C][C]0.719189605074856[/C][/ROW]
[ROW][C]0.26[/C][C]102.706462837549[/C][C]0.745014034922924[/C][/ROW]
[ROW][C]0.27[/C][C]102.87596061907[/C][C]0.77417694360628[/C][/ROW]
[ROW][C]0.28[/C][C]103.050041570619[/C][C]0.807244263622016[/C][/ROW]
[ROW][C]0.29[/C][C]103.229209605977[/C][C]0.842704091575408[/C][/ROW]
[ROW][C]0.3[/C][C]103.413676050534[/C][C]0.878385323744219[/C][/ROW]
[ROW][C]0.31[/C][C]103.60315940486[/C][C]0.910997988808624[/C][/ROW]
[ROW][C]0.32[/C][C]103.796760127871[/C][C]0.937222582965962[/C][/ROW]
[ROW][C]0.33[/C][C]103.992925607679[/C][C]0.953535241228311[/C][/ROW]
[ROW][C]0.34[/C][C]104.189510026591[/C][C]0.957009412094812[/C][/ROW]
[ROW][C]0.35[/C][C]104.383923499328[/C][C]0.946015812426036[/C][/ROW]
[ROW][C]0.36[/C][C]104.573354031131[/C][C]0.919410399082394[/C][/ROW]
[ROW][C]0.37[/C][C]104.755035320648[/C][C]0.87811408214783[/C][/ROW]
[ROW][C]0.38[/C][C]104.926525358945[/C][C]0.824624731319359[/C][/ROW]
[ROW][C]0.39[/C][C]105.085957641218[/C][C]0.761976538147063[/C][/ROW]
[ROW][C]0.4[/C][C]105.23223022482[/C][C]0.694704065549396[/C][/ROW]
[ROW][C]0.41[/C][C]105.365107703232[/C][C]0.627574254960257[/C][/ROW]
[ROW][C]0.42[/C][C]105.485225424953[/C][C]0.565133141999383[/C][/ROW]
[ROW][C]0.43[/C][C]105.594000755553[/C][C]0.511453163477686[/C][/ROW]
[ROW][C]0.44[/C][C]105.693469511053[/C][C]0.469867119773021[/C][/ROW]
[ROW][C]0.45[/C][C]105.786074433429[/C][C]0.442294485489359[/C][/ROW]
[ROW][C]0.46[/C][C]105.874435779829[/C][C]0.429278610642946[/C][/ROW]
[ROW][C]0.47[/C][C]105.961132277797[/C][C]0.430024869232346[/C][/ROW]
[ROW][C]0.48[/C][C]106.048515346516[/C][C]0.442324444215789[/C][/ROW]
[ROW][C]0.49[/C][C]106.138572341826[/C][C]0.463558590845574[/C][/ROW]
[ROW][C]0.5[/C][C]106.232847058794[/C][C]0.490945773377331[/C][/ROW]
[ROW][C]0.51[/C][C]106.332418627293[/C][C]0.521816535889881[/C][/ROW]
[ROW][C]0.52[/C][C]106.43793355166[/C][C]0.553865009707576[/C][/ROW]
[ROW][C]0.53[/C][C]106.549680053287[/C][C]0.585482344083142[/C][/ROW]
[ROW][C]0.54[/C][C]106.667689282575[/C][C]0.615801678527807[/C][/ROW]
[ROW][C]0.55[/C][C]106.791844909335[/C][C]0.644498832755098[/C][/ROW]
[ROW][C]0.56[/C][C]106.921981898479[/C][C]0.671616910425795[/C][/ROW]
[ROW][C]0.57[/C][C]107.057957751201[/C][C]0.697837085208563[/C][/ROW]
[ROW][C]0.58[/C][C]107.199685523637[/C][C]0.723462856914118[/C][/ROW]
[ROW][C]0.59[/C][C]107.347127030697[/C][C]0.749162055219238[/C][/ROW]
[ROW][C]0.6[/C][C]107.500255178595[/C][C]0.774634304805708[/C][/ROW]
[ROW][C]0.61[/C][C]107.659003703413[/C][C]0.799385119884531[/C][/ROW]
[ROW][C]0.62[/C][C]107.823227639031[/C][C]0.822617136605233[/C][/ROW]
[ROW][C]0.63[/C][C]107.992696053578[/C][C]0.843586228273302[/C][/ROW]
[ROW][C]0.64[/C][C]108.167129131992[/C][C]0.861719591328745[/C][/ROW]
[ROW][C]0.65[/C][C]108.346276275512[/C][C]0.877383542034099[/C][/ROW]
[ROW][C]0.66[/C][C]108.530014970561[/C][C]0.891274646979076[/C][/ROW]
[ROW][C]0.67[/C][C]108.718437888054[/C][C]0.904971628230542[/C][/ROW]
[ROW][C]0.68[/C][C]108.911893766587[/C][C]0.920423707961289[/C][/ROW]
[ROW][C]0.69[/C][C]109.110958874232[/C][C]0.938884957333209[/C][/ROW]
[ROW][C]0.7[/C][C]109.316337938336[/C][C]0.9607589896622[/C][/ROW]
[ROW][C]0.71[/C][C]109.528718722065[/C][C]0.985511195979441[/C][/ROW]
[ROW][C]0.72[/C][C]109.748622145058[/C][C]1.01139307332238[/C][/ROW]
[ROW][C]0.73[/C][C]109.976290673068[/C][C]1.03627312957323[/C][/ROW]
[ROW][C]0.74[/C][C]110.211638955148[/C][C]1.05813466138215[/C][/ROW]
[ROW][C]0.75[/C][C]110.454259481372[/C][C]1.07560785534532[/C][/ROW]
[ROW][C]0.76[/C][C]110.703447871242[/C][C]1.08793069931164[/C][/ROW]
[ROW][C]0.77[/C][C]110.958204429511[/C][C]1.09475225170618[/C][/ROW]
[ROW][C]0.78[/C][C]111.217189783656[/C][C]1.09509973624664[/C][/ROW]
[ROW][C]0.79[/C][C]111.478655652195[/C][C]1.08734320434149[/C][/ROW]
[ROW][C]0.8[/C][C]111.740413694095[/C][C]1.06931264466346[/C][/ROW]
[ROW][C]0.81[/C][C]111.999916412762[/C][C]1.03886717673569[/C][/ROW]
[ROW][C]0.82[/C][C]112.254486036833[/C][C]0.995546766168312[/C][/ROW]
[ROW][C]0.83[/C][C]112.501649429967[/C][C]0.940953817467071[/C][/ROW]
[ROW][C]0.84[/C][C]112.739460374339[/C][C]0.878865964353155[/C][/ROW]
[ROW][C]0.85[/C][C]112.966674199168[/C][C]0.813719371298407[/C][/ROW]
[ROW][C]0.86[/C][C]113.182732216891[/C][C]0.749371124358955[/C][/ROW]
[ROW][C]0.87[/C][C]113.387717751543[/C][C]0.687585988688571[/C][/ROW]
[ROW][C]0.88[/C][C]113.582687606607[/C][C]0.629068597329135[/C][/ROW]
[ROW][C]0.89[/C][C]113.770891447511[/C][C]0.576683420063606[/C][/ROW]
[ROW][C]0.9[/C][C]113.960112582782[/C][C]0.541724871796403[/C][/ROW]
[ROW][C]0.91[/C][C]114.165476633461[/C][C]0.549704879483068[/C][/ROW]
[ROW][C]0.92[/C][C]114.410713614141[/C][C]0.633521771181122[/C][/ROW]
[ROW][C]0.93[/C][C]114.724982317082[/C][C]0.801912089730405[/C][/ROW]
[ROW][C]0.94[/C][C]115.133787011877[/C][C]1.01417975854889[/C][/ROW]
[ROW][C]0.95[/C][C]115.647360342244[/C][C]1.19039644019576[/C][/ROW]
[ROW][C]0.96[/C][C]116.255222470925[/C][C]1.25347072889222[/C][/ROW]
[ROW][C]0.97[/C][C]116.932409011365[/C][C]1.18757456455255[/C][/ROW]
[ROW][C]0.98[/C][C]117.642198495236[/C][C]1.05215904839579[/C][/ROW]
[ROW][C]0.99[/C][C]118.298323960374[/C][C]0.934151979343578[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=214264&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=214264&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
0.0199.40741997820770.356835981485694
0.0299.62716551665550.299557711356505
0.0399.83197363662640.289870113301123
0.04100.0041644348880.281431270617759
0.05100.1481320077690.260691965685282
0.06100.2706313222160.244976046485174
0.07100.379096219780.249247356478983
0.08100.481152672360.271530015434222
0.09100.5825031148190.299598205804917
0.1100.6855764591740.322085113791043
0.11100.7899506235020.33397145952676
0.12100.8939060960040.336420781788063
0.13100.9960688012950.335984586413046
0.14101.0964306476690.340788220933076
0.15101.196530910.357500581788925
0.16101.2989657442040.387979873567368
0.17101.4065794443020.430012786737938
0.18101.5216938115790.478547999457198
0.19101.6456174876420.527990704407428
0.2101.778523220540.57374843860737
0.21101.9196480821270.613122358336389
0.22102.067690988030.645484440120686
0.23102.221258893790.672209463363604
0.24102.3792360638260.695851490213977
0.25102.5410000402790.719189605074856
0.26102.7064628375490.745014034922924
0.27102.875960619070.77417694360628
0.28103.0500415706190.807244263622016
0.29103.2292096059770.842704091575408
0.3103.4136760505340.878385323744219
0.31103.603159404860.910997988808624
0.32103.7967601278710.937222582965962
0.33103.9929256076790.953535241228311
0.34104.1895100265910.957009412094812
0.35104.3839234993280.946015812426036
0.36104.5733540311310.919410399082394
0.37104.7550353206480.87811408214783
0.38104.9265253589450.824624731319359
0.39105.0859576412180.761976538147063
0.4105.232230224820.694704065549396
0.41105.3651077032320.627574254960257
0.42105.4852254249530.565133141999383
0.43105.5940007555530.511453163477686
0.44105.6934695110530.469867119773021
0.45105.7860744334290.442294485489359
0.46105.8744357798290.429278610642946
0.47105.9611322777970.430024869232346
0.48106.0485153465160.442324444215789
0.49106.1385723418260.463558590845574
0.5106.2328470587940.490945773377331
0.51106.3324186272930.521816535889881
0.52106.437933551660.553865009707576
0.53106.5496800532870.585482344083142
0.54106.6676892825750.615801678527807
0.55106.7918449093350.644498832755098
0.56106.9219818984790.671616910425795
0.57107.0579577512010.697837085208563
0.58107.1996855236370.723462856914118
0.59107.3471270306970.749162055219238
0.6107.5002551785950.774634304805708
0.61107.6590037034130.799385119884531
0.62107.8232276390310.822617136605233
0.63107.9926960535780.843586228273302
0.64108.1671291319920.861719591328745
0.65108.3462762755120.877383542034099
0.66108.5300149705610.891274646979076
0.67108.7184378880540.904971628230542
0.68108.9118937665870.920423707961289
0.69109.1109588742320.938884957333209
0.7109.3163379383360.9607589896622
0.71109.5287187220650.985511195979441
0.72109.7486221450581.01139307332238
0.73109.9762906730681.03627312957323
0.74110.2116389551481.05813466138215
0.75110.4542594813721.07560785534532
0.76110.7034478712421.08793069931164
0.77110.9582044295111.09475225170618
0.78111.2171897836561.09509973624664
0.79111.4786556521951.08734320434149
0.8111.7404136940951.06931264466346
0.81111.9999164127621.03886717673569
0.82112.2544860368330.995546766168312
0.83112.5016494299670.940953817467071
0.84112.7394603743390.878865964353155
0.85112.9666741991680.813719371298407
0.86113.1827322168910.749371124358955
0.87113.3877177515430.687585988688571
0.88113.5826876066070.629068597329135
0.89113.7708914475110.576683420063606
0.9113.9601125827820.541724871796403
0.91114.1654766334610.549704879483068
0.92114.4107136141410.633521771181122
0.93114.7249823170820.801912089730405
0.94115.1337870118771.01417975854889
0.95115.6473603422441.19039644019576
0.96116.2552224709251.25347072889222
0.97116.9324090113651.18757456455255
0.98117.6421984952361.05215904839579
0.99118.2983239603740.934151979343578


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')