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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 computationFri, 05 Oct 2012 16:50:41 -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/2012/Oct/05/t134947028185i3ore69h7lzq7.htm/, Retrieved Thu, 25 Apr 2024 02:15:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=172455, Retrieved Thu, 25 Apr 2024 02:15:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact128

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] [prijs vliegtuigti...] [2012-09-21 20:50:58] [74be16979710d4c4e7c6647856088456]
- RMP     [Harrell-Davis Quantiles] [gemiddelde prijs ...] [2012-10-05 20:50:41] [d0e7cd87186a15776b36563906a5538f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
86,86
86,79
82,52
86,87
81,62
82,66
89,87
92,04
79,74
77,75
79,12
76,37
75,01
77,6
77,81
81,7
76,47
74,72
84,43
86,72
70,99
75,43
74,14
73,3
71,97
69,27
74,13
76,4
72,26
72,1
87,82
91,62
82,69
85,76
86,87
93,09
83,73
84,49
87,37
89,13
83,2
83,77
93,68
93,09
88,59
87,88
87,89
89,38
89,13
89,58
90,22
91,44
91,04
92,1
97,54
99,12
100
99,68
100,08
99,9
99,63
99,45
99,63
99,46
96,91
97,65
102,1
103,57
104,59
104,79
101,31
104,8

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=172455&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=172455&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172455&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0169.78350133191681.46815441547249
0.0270.5066713456791.17427564219051
0.0371.18341302673350.946499125096565
0.0471.73014300076010.842664677117053
0.0572.17440498226380.859617493625899
0.0672.5667463049830.940836535562486
0.0772.94121440695531.02513221807904
0.0873.31103384020071.08144830654854
0.0973.67673692285861.10736684618133
0.174.0347916154531.11640965258176
0.1174.38277389882071.1243384302882
0.1274.72101571590411.14136017666807
0.1375.05212651565351.17114376801087
0.1475.37986087821331.21325208998393
0.1575.7082255060671.26723780008979
0.1676.0410712967591.3334966715264
0.1776.38201344468681.41369544677132
0.1876.73441091078371.5086585756314
0.1977.10121614610911.6172006789967
0.277.48465062768891.73498770683704
0.2177.88578345248871.85464853374357
0.2278.30415096087131.96705673240032
0.2378.73755370285852.06221522467167
0.2479.18212010152692.13152682269224
0.2579.63265660896542.16886703627901
0.2680.08323354562822.17221815503379
0.2780.52790141607312.14320844203231
0.2880.96140543186522.08765377172194
0.2981.37977004881132.01413104258795
0.381.78065687943341.93249620988247
0.3182.16344872127351.85262881221326
0.3282.52906696137391.78269690334385
0.3382.87957709406721.72791970065859
0.3483.21766877077511.69006992131776
0.3583.54610882414991.66741747133755
0.3683.8672589248121.65529984541494
0.3784.18272816445821.64792277245767
0.3884.49320078956081.63888472525207
0.3984.79844658764711.62294859573751
0.485.09749136451111.59620930092231
0.4185.38890168834171.55718593198949
0.4285.67112440938791.50638731241899
0.4385.94281869471711.44650525881105
0.4486.20312611283421.38167145216826
0.4586.45184065457441.31655530466802
0.4686.68946204117341.25609232131535
0.4786.91713796129441.20413854402293
0.4887.13651973377571.16357879339836
0.4987.34956799165961.13554654687562
0.587.55834864508221.11958397254441
0.5187.76485483954231.1143070094485
0.5287.97087982516421.11786467729973
0.5388.17795165671281.12794752497578
0.5488.38732686197381.14274230245132
0.5588.60002963849141.16130788559735
0.5688.81691774708461.18282561671443
0.5789.03875669366581.20726134960879
0.5889.26628922670681.23489771267553
0.5989.50029557274151.26585184768208
0.689.74164830079631.30071730538278
0.6189.99137116089711.33987823879767
0.6290.25071116518591.38439678360025
0.6390.52122641280371.43552704116233
0.6490.80487950496271.49542593494806
0.6591.10411083243571.56680775551578
0.6691.42185233486671.65297751991553
0.6791.76143613576281.75624042473769
0.6892.12635864648231.8776892721146
0.6992.51988176027682.01560829284436
0.792.94448717060652.16472375127028
0.7193.40124166463632.31596491666814
0.7293.88917063646152.45717430170182
0.7394.40476250721022.57389097307003
0.7494.94172825063022.65186081986396
0.7595.49111283155792.67845367812631
0.7696.04180155517732.64486210683201
0.7796.58139437329842.54782142008462
0.7897.09735095172182.39035557678986
0.7997.57825596629362.18139577707793
0.898.01503132660981.93529222957711
0.8198.40193601088251.66942326506565
0.8298.73724168101211.40286049875952
0.8399.02354071628941.15432522534999
0.8499.26771291086960.94057569778892
0.8599.48062428800610.776846034645248
0.8699.67663503610430.676753414863446
0.8799.87294306852980.65119698922488
0.88100.0886945782060.702625195141864
0.89100.3436862338390.82212531070445
0.9100.6564154302510.991869204721323
0.91101.0412590423921.18785973695305
0.92101.5047305198721.37849584059882
0.93102.0411474574811.5241612776609
0.94102.628719063861.58047591629775
0.95103.2280180341121.5069209005236
0.96103.7856209031931.2835574317719
0.97104.2452901877020.931959898348324
0.98104.5659940101870.528113389009538
0.99104.7401362458320.186967115943738

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 69.7835013319168 & 1.46815441547249 \tabularnewline
0.02 & 70.506671345679 & 1.17427564219051 \tabularnewline
0.03 & 71.1834130267335 & 0.946499125096565 \tabularnewline
0.04 & 71.7301430007601 & 0.842664677117053 \tabularnewline
0.05 & 72.1744049822638 & 0.859617493625899 \tabularnewline
0.06 & 72.566746304983 & 0.940836535562486 \tabularnewline
0.07 & 72.9412144069553 & 1.02513221807904 \tabularnewline
0.08 & 73.3110338402007 & 1.08144830654854 \tabularnewline
0.09 & 73.6767369228586 & 1.10736684618133 \tabularnewline
0.1 & 74.034791615453 & 1.11640965258176 \tabularnewline
0.11 & 74.3827738988207 & 1.1243384302882 \tabularnewline
0.12 & 74.7210157159041 & 1.14136017666807 \tabularnewline
0.13 & 75.0521265156535 & 1.17114376801087 \tabularnewline
0.14 & 75.3798608782133 & 1.21325208998393 \tabularnewline
0.15 & 75.708225506067 & 1.26723780008979 \tabularnewline
0.16 & 76.041071296759 & 1.3334966715264 \tabularnewline
0.17 & 76.3820134446868 & 1.41369544677132 \tabularnewline
0.18 & 76.7344109107837 & 1.5086585756314 \tabularnewline
0.19 & 77.1012161461091 & 1.6172006789967 \tabularnewline
0.2 & 77.4846506276889 & 1.73498770683704 \tabularnewline
0.21 & 77.8857834524887 & 1.85464853374357 \tabularnewline
0.22 & 78.3041509608713 & 1.96705673240032 \tabularnewline
0.23 & 78.7375537028585 & 2.06221522467167 \tabularnewline
0.24 & 79.1821201015269 & 2.13152682269224 \tabularnewline
0.25 & 79.6326566089654 & 2.16886703627901 \tabularnewline
0.26 & 80.0832335456282 & 2.17221815503379 \tabularnewline
0.27 & 80.5279014160731 & 2.14320844203231 \tabularnewline
0.28 & 80.9614054318652 & 2.08765377172194 \tabularnewline
0.29 & 81.3797700488113 & 2.01413104258795 \tabularnewline
0.3 & 81.7806568794334 & 1.93249620988247 \tabularnewline
0.31 & 82.1634487212735 & 1.85262881221326 \tabularnewline
0.32 & 82.5290669613739 & 1.78269690334385 \tabularnewline
0.33 & 82.8795770940672 & 1.72791970065859 \tabularnewline
0.34 & 83.2176687707751 & 1.69006992131776 \tabularnewline
0.35 & 83.5461088241499 & 1.66741747133755 \tabularnewline
0.36 & 83.867258924812 & 1.65529984541494 \tabularnewline
0.37 & 84.1827281644582 & 1.64792277245767 \tabularnewline
0.38 & 84.4932007895608 & 1.63888472525207 \tabularnewline
0.39 & 84.7984465876471 & 1.62294859573751 \tabularnewline
0.4 & 85.0974913645111 & 1.59620930092231 \tabularnewline
0.41 & 85.3889016883417 & 1.55718593198949 \tabularnewline
0.42 & 85.6711244093879 & 1.50638731241899 \tabularnewline
0.43 & 85.9428186947171 & 1.44650525881105 \tabularnewline
0.44 & 86.2031261128342 & 1.38167145216826 \tabularnewline
0.45 & 86.4518406545744 & 1.31655530466802 \tabularnewline
0.46 & 86.6894620411734 & 1.25609232131535 \tabularnewline
0.47 & 86.9171379612944 & 1.20413854402293 \tabularnewline
0.48 & 87.1365197337757 & 1.16357879339836 \tabularnewline
0.49 & 87.3495679916596 & 1.13554654687562 \tabularnewline
0.5 & 87.5583486450822 & 1.11958397254441 \tabularnewline
0.51 & 87.7648548395423 & 1.1143070094485 \tabularnewline
0.52 & 87.9708798251642 & 1.11786467729973 \tabularnewline
0.53 & 88.1779516567128 & 1.12794752497578 \tabularnewline
0.54 & 88.3873268619738 & 1.14274230245132 \tabularnewline
0.55 & 88.6000296384914 & 1.16130788559735 \tabularnewline
0.56 & 88.8169177470846 & 1.18282561671443 \tabularnewline
0.57 & 89.0387566936658 & 1.20726134960879 \tabularnewline
0.58 & 89.2662892267068 & 1.23489771267553 \tabularnewline
0.59 & 89.5002955727415 & 1.26585184768208 \tabularnewline
0.6 & 89.7416483007963 & 1.30071730538278 \tabularnewline
0.61 & 89.9913711608971 & 1.33987823879767 \tabularnewline
0.62 & 90.2507111651859 & 1.38439678360025 \tabularnewline
0.63 & 90.5212264128037 & 1.43552704116233 \tabularnewline
0.64 & 90.8048795049627 & 1.49542593494806 \tabularnewline
0.65 & 91.1041108324357 & 1.56680775551578 \tabularnewline
0.66 & 91.4218523348667 & 1.65297751991553 \tabularnewline
0.67 & 91.7614361357628 & 1.75624042473769 \tabularnewline
0.68 & 92.1263586464823 & 1.8776892721146 \tabularnewline
0.69 & 92.5198817602768 & 2.01560829284436 \tabularnewline
0.7 & 92.9444871706065 & 2.16472375127028 \tabularnewline
0.71 & 93.4012416646363 & 2.31596491666814 \tabularnewline
0.72 & 93.8891706364615 & 2.45717430170182 \tabularnewline
0.73 & 94.4047625072102 & 2.57389097307003 \tabularnewline
0.74 & 94.9417282506302 & 2.65186081986396 \tabularnewline
0.75 & 95.4911128315579 & 2.67845367812631 \tabularnewline
0.76 & 96.0418015551773 & 2.64486210683201 \tabularnewline
0.77 & 96.5813943732984 & 2.54782142008462 \tabularnewline
0.78 & 97.0973509517218 & 2.39035557678986 \tabularnewline
0.79 & 97.5782559662936 & 2.18139577707793 \tabularnewline
0.8 & 98.0150313266098 & 1.93529222957711 \tabularnewline
0.81 & 98.4019360108825 & 1.66942326506565 \tabularnewline
0.82 & 98.7372416810121 & 1.40286049875952 \tabularnewline
0.83 & 99.0235407162894 & 1.15432522534999 \tabularnewline
0.84 & 99.2677129108696 & 0.94057569778892 \tabularnewline
0.85 & 99.4806242880061 & 0.776846034645248 \tabularnewline
0.86 & 99.6766350361043 & 0.676753414863446 \tabularnewline
0.87 & 99.8729430685298 & 0.65119698922488 \tabularnewline
0.88 & 100.088694578206 & 0.702625195141864 \tabularnewline
0.89 & 100.343686233839 & 0.82212531070445 \tabularnewline
0.9 & 100.656415430251 & 0.991869204721323 \tabularnewline
0.91 & 101.041259042392 & 1.18785973695305 \tabularnewline
0.92 & 101.504730519872 & 1.37849584059882 \tabularnewline
0.93 & 102.041147457481 & 1.5241612776609 \tabularnewline
0.94 & 102.62871906386 & 1.58047591629775 \tabularnewline
0.95 & 103.228018034112 & 1.5069209005236 \tabularnewline
0.96 & 103.785620903193 & 1.2835574317719 \tabularnewline
0.97 & 104.245290187702 & 0.931959898348324 \tabularnewline
0.98 & 104.565994010187 & 0.528113389009538 \tabularnewline
0.99 & 104.740136245832 & 0.186967115943738 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=172455&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]69.7835013319168[/C][C]1.46815441547249[/C][/ROW]
[ROW][C]0.02[/C][C]70.506671345679[/C][C]1.17427564219051[/C][/ROW]
[ROW][C]0.03[/C][C]71.1834130267335[/C][C]0.946499125096565[/C][/ROW]
[ROW][C]0.04[/C][C]71.7301430007601[/C][C]0.842664677117053[/C][/ROW]
[ROW][C]0.05[/C][C]72.1744049822638[/C][C]0.859617493625899[/C][/ROW]
[ROW][C]0.06[/C][C]72.566746304983[/C][C]0.940836535562486[/C][/ROW]
[ROW][C]0.07[/C][C]72.9412144069553[/C][C]1.02513221807904[/C][/ROW]
[ROW][C]0.08[/C][C]73.3110338402007[/C][C]1.08144830654854[/C][/ROW]
[ROW][C]0.09[/C][C]73.6767369228586[/C][C]1.10736684618133[/C][/ROW]
[ROW][C]0.1[/C][C]74.034791615453[/C][C]1.11640965258176[/C][/ROW]
[ROW][C]0.11[/C][C]74.3827738988207[/C][C]1.1243384302882[/C][/ROW]
[ROW][C]0.12[/C][C]74.7210157159041[/C][C]1.14136017666807[/C][/ROW]
[ROW][C]0.13[/C][C]75.0521265156535[/C][C]1.17114376801087[/C][/ROW]
[ROW][C]0.14[/C][C]75.3798608782133[/C][C]1.21325208998393[/C][/ROW]
[ROW][C]0.15[/C][C]75.708225506067[/C][C]1.26723780008979[/C][/ROW]
[ROW][C]0.16[/C][C]76.041071296759[/C][C]1.3334966715264[/C][/ROW]
[ROW][C]0.17[/C][C]76.3820134446868[/C][C]1.41369544677132[/C][/ROW]
[ROW][C]0.18[/C][C]76.7344109107837[/C][C]1.5086585756314[/C][/ROW]
[ROW][C]0.19[/C][C]77.1012161461091[/C][C]1.6172006789967[/C][/ROW]
[ROW][C]0.2[/C][C]77.4846506276889[/C][C]1.73498770683704[/C][/ROW]
[ROW][C]0.21[/C][C]77.8857834524887[/C][C]1.85464853374357[/C][/ROW]
[ROW][C]0.22[/C][C]78.3041509608713[/C][C]1.96705673240032[/C][/ROW]
[ROW][C]0.23[/C][C]78.7375537028585[/C][C]2.06221522467167[/C][/ROW]
[ROW][C]0.24[/C][C]79.1821201015269[/C][C]2.13152682269224[/C][/ROW]
[ROW][C]0.25[/C][C]79.6326566089654[/C][C]2.16886703627901[/C][/ROW]
[ROW][C]0.26[/C][C]80.0832335456282[/C][C]2.17221815503379[/C][/ROW]
[ROW][C]0.27[/C][C]80.5279014160731[/C][C]2.14320844203231[/C][/ROW]
[ROW][C]0.28[/C][C]80.9614054318652[/C][C]2.08765377172194[/C][/ROW]
[ROW][C]0.29[/C][C]81.3797700488113[/C][C]2.01413104258795[/C][/ROW]
[ROW][C]0.3[/C][C]81.7806568794334[/C][C]1.93249620988247[/C][/ROW]
[ROW][C]0.31[/C][C]82.1634487212735[/C][C]1.85262881221326[/C][/ROW]
[ROW][C]0.32[/C][C]82.5290669613739[/C][C]1.78269690334385[/C][/ROW]
[ROW][C]0.33[/C][C]82.8795770940672[/C][C]1.72791970065859[/C][/ROW]
[ROW][C]0.34[/C][C]83.2176687707751[/C][C]1.69006992131776[/C][/ROW]
[ROW][C]0.35[/C][C]83.5461088241499[/C][C]1.66741747133755[/C][/ROW]
[ROW][C]0.36[/C][C]83.867258924812[/C][C]1.65529984541494[/C][/ROW]
[ROW][C]0.37[/C][C]84.1827281644582[/C][C]1.64792277245767[/C][/ROW]
[ROW][C]0.38[/C][C]84.4932007895608[/C][C]1.63888472525207[/C][/ROW]
[ROW][C]0.39[/C][C]84.7984465876471[/C][C]1.62294859573751[/C][/ROW]
[ROW][C]0.4[/C][C]85.0974913645111[/C][C]1.59620930092231[/C][/ROW]
[ROW][C]0.41[/C][C]85.3889016883417[/C][C]1.55718593198949[/C][/ROW]
[ROW][C]0.42[/C][C]85.6711244093879[/C][C]1.50638731241899[/C][/ROW]
[ROW][C]0.43[/C][C]85.9428186947171[/C][C]1.44650525881105[/C][/ROW]
[ROW][C]0.44[/C][C]86.2031261128342[/C][C]1.38167145216826[/C][/ROW]
[ROW][C]0.45[/C][C]86.4518406545744[/C][C]1.31655530466802[/C][/ROW]
[ROW][C]0.46[/C][C]86.6894620411734[/C][C]1.25609232131535[/C][/ROW]
[ROW][C]0.47[/C][C]86.9171379612944[/C][C]1.20413854402293[/C][/ROW]
[ROW][C]0.48[/C][C]87.1365197337757[/C][C]1.16357879339836[/C][/ROW]
[ROW][C]0.49[/C][C]87.3495679916596[/C][C]1.13554654687562[/C][/ROW]
[ROW][C]0.5[/C][C]87.5583486450822[/C][C]1.11958397254441[/C][/ROW]
[ROW][C]0.51[/C][C]87.7648548395423[/C][C]1.1143070094485[/C][/ROW]
[ROW][C]0.52[/C][C]87.9708798251642[/C][C]1.11786467729973[/C][/ROW]
[ROW][C]0.53[/C][C]88.1779516567128[/C][C]1.12794752497578[/C][/ROW]
[ROW][C]0.54[/C][C]88.3873268619738[/C][C]1.14274230245132[/C][/ROW]
[ROW][C]0.55[/C][C]88.6000296384914[/C][C]1.16130788559735[/C][/ROW]
[ROW][C]0.56[/C][C]88.8169177470846[/C][C]1.18282561671443[/C][/ROW]
[ROW][C]0.57[/C][C]89.0387566936658[/C][C]1.20726134960879[/C][/ROW]
[ROW][C]0.58[/C][C]89.2662892267068[/C][C]1.23489771267553[/C][/ROW]
[ROW][C]0.59[/C][C]89.5002955727415[/C][C]1.26585184768208[/C][/ROW]
[ROW][C]0.6[/C][C]89.7416483007963[/C][C]1.30071730538278[/C][/ROW]
[ROW][C]0.61[/C][C]89.9913711608971[/C][C]1.33987823879767[/C][/ROW]
[ROW][C]0.62[/C][C]90.2507111651859[/C][C]1.38439678360025[/C][/ROW]
[ROW][C]0.63[/C][C]90.5212264128037[/C][C]1.43552704116233[/C][/ROW]
[ROW][C]0.64[/C][C]90.8048795049627[/C][C]1.49542593494806[/C][/ROW]
[ROW][C]0.65[/C][C]91.1041108324357[/C][C]1.56680775551578[/C][/ROW]
[ROW][C]0.66[/C][C]91.4218523348667[/C][C]1.65297751991553[/C][/ROW]
[ROW][C]0.67[/C][C]91.7614361357628[/C][C]1.75624042473769[/C][/ROW]
[ROW][C]0.68[/C][C]92.1263586464823[/C][C]1.8776892721146[/C][/ROW]
[ROW][C]0.69[/C][C]92.5198817602768[/C][C]2.01560829284436[/C][/ROW]
[ROW][C]0.7[/C][C]92.9444871706065[/C][C]2.16472375127028[/C][/ROW]
[ROW][C]0.71[/C][C]93.4012416646363[/C][C]2.31596491666814[/C][/ROW]
[ROW][C]0.72[/C][C]93.8891706364615[/C][C]2.45717430170182[/C][/ROW]
[ROW][C]0.73[/C][C]94.4047625072102[/C][C]2.57389097307003[/C][/ROW]
[ROW][C]0.74[/C][C]94.9417282506302[/C][C]2.65186081986396[/C][/ROW]
[ROW][C]0.75[/C][C]95.4911128315579[/C][C]2.67845367812631[/C][/ROW]
[ROW][C]0.76[/C][C]96.0418015551773[/C][C]2.64486210683201[/C][/ROW]
[ROW][C]0.77[/C][C]96.5813943732984[/C][C]2.54782142008462[/C][/ROW]
[ROW][C]0.78[/C][C]97.0973509517218[/C][C]2.39035557678986[/C][/ROW]
[ROW][C]0.79[/C][C]97.5782559662936[/C][C]2.18139577707793[/C][/ROW]
[ROW][C]0.8[/C][C]98.0150313266098[/C][C]1.93529222957711[/C][/ROW]
[ROW][C]0.81[/C][C]98.4019360108825[/C][C]1.66942326506565[/C][/ROW]
[ROW][C]0.82[/C][C]98.7372416810121[/C][C]1.40286049875952[/C][/ROW]
[ROW][C]0.83[/C][C]99.0235407162894[/C][C]1.15432522534999[/C][/ROW]
[ROW][C]0.84[/C][C]99.2677129108696[/C][C]0.94057569778892[/C][/ROW]
[ROW][C]0.85[/C][C]99.4806242880061[/C][C]0.776846034645248[/C][/ROW]
[ROW][C]0.86[/C][C]99.6766350361043[/C][C]0.676753414863446[/C][/ROW]
[ROW][C]0.87[/C][C]99.8729430685298[/C][C]0.65119698922488[/C][/ROW]
[ROW][C]0.88[/C][C]100.088694578206[/C][C]0.702625195141864[/C][/ROW]
[ROW][C]0.89[/C][C]100.343686233839[/C][C]0.82212531070445[/C][/ROW]
[ROW][C]0.9[/C][C]100.656415430251[/C][C]0.991869204721323[/C][/ROW]
[ROW][C]0.91[/C][C]101.041259042392[/C][C]1.18785973695305[/C][/ROW]
[ROW][C]0.92[/C][C]101.504730519872[/C][C]1.37849584059882[/C][/ROW]
[ROW][C]0.93[/C][C]102.041147457481[/C][C]1.5241612776609[/C][/ROW]
[ROW][C]0.94[/C][C]102.62871906386[/C][C]1.58047591629775[/C][/ROW]
[ROW][C]0.95[/C][C]103.228018034112[/C][C]1.5069209005236[/C][/ROW]
[ROW][C]0.96[/C][C]103.785620903193[/C][C]1.2835574317719[/C][/ROW]
[ROW][C]0.97[/C][C]104.245290187702[/C][C]0.931959898348324[/C][/ROW]
[ROW][C]0.98[/C][C]104.565994010187[/C][C]0.528113389009538[/C][/ROW]
[ROW][C]0.99[/C][C]104.740136245832[/C][C]0.186967115943738[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=172455&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172455&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
0.0169.78350133191681.46815441547249
0.0270.5066713456791.17427564219051
0.0371.18341302673350.946499125096565
0.0471.73014300076010.842664677117053
0.0572.17440498226380.859617493625899
0.0672.5667463049830.940836535562486
0.0772.94121440695531.02513221807904
0.0873.31103384020071.08144830654854
0.0973.67673692285861.10736684618133
0.174.0347916154531.11640965258176
0.1174.38277389882071.1243384302882
0.1274.72101571590411.14136017666807
0.1375.05212651565351.17114376801087
0.1475.37986087821331.21325208998393
0.1575.7082255060671.26723780008979
0.1676.0410712967591.3334966715264
0.1776.38201344468681.41369544677132
0.1876.73441091078371.5086585756314
0.1977.10121614610911.6172006789967
0.277.48465062768891.73498770683704
0.2177.88578345248871.85464853374357
0.2278.30415096087131.96705673240032
0.2378.73755370285852.06221522467167
0.2479.18212010152692.13152682269224
0.2579.63265660896542.16886703627901
0.2680.08323354562822.17221815503379
0.2780.52790141607312.14320844203231
0.2880.96140543186522.08765377172194
0.2981.37977004881132.01413104258795
0.381.78065687943341.93249620988247
0.3182.16344872127351.85262881221326
0.3282.52906696137391.78269690334385
0.3382.87957709406721.72791970065859
0.3483.21766877077511.69006992131776
0.3583.54610882414991.66741747133755
0.3683.8672589248121.65529984541494
0.3784.18272816445821.64792277245767
0.3884.49320078956081.63888472525207
0.3984.79844658764711.62294859573751
0.485.09749136451111.59620930092231
0.4185.38890168834171.55718593198949
0.4285.67112440938791.50638731241899
0.4385.94281869471711.44650525881105
0.4486.20312611283421.38167145216826
0.4586.45184065457441.31655530466802
0.4686.68946204117341.25609232131535
0.4786.91713796129441.20413854402293
0.4887.13651973377571.16357879339836
0.4987.34956799165961.13554654687562
0.587.55834864508221.11958397254441
0.5187.76485483954231.1143070094485
0.5287.97087982516421.11786467729973
0.5388.17795165671281.12794752497578
0.5488.38732686197381.14274230245132
0.5588.60002963849141.16130788559735
0.5688.81691774708461.18282561671443
0.5789.03875669366581.20726134960879
0.5889.26628922670681.23489771267553
0.5989.50029557274151.26585184768208
0.689.74164830079631.30071730538278
0.6189.99137116089711.33987823879767
0.6290.25071116518591.38439678360025
0.6390.52122641280371.43552704116233
0.6490.80487950496271.49542593494806
0.6591.10411083243571.56680775551578
0.6691.42185233486671.65297751991553
0.6791.76143613576281.75624042473769
0.6892.12635864648231.8776892721146
0.6992.51988176027682.01560829284436
0.792.94448717060652.16472375127028
0.7193.40124166463632.31596491666814
0.7293.88917063646152.45717430170182
0.7394.40476250721022.57389097307003
0.7494.94172825063022.65186081986396
0.7595.49111283155792.67845367812631
0.7696.04180155517732.64486210683201
0.7796.58139437329842.54782142008462
0.7897.09735095172182.39035557678986
0.7997.57825596629362.18139577707793
0.898.01503132660981.93529222957711
0.8198.40193601088251.66942326506565
0.8298.73724168101211.40286049875952
0.8399.02354071628941.15432522534999
0.8499.26771291086960.94057569778892
0.8599.48062428800610.776846034645248
0.8699.67663503610430.676753414863446
0.8799.87294306852980.65119698922488
0.88100.0886945782060.702625195141864
0.89100.3436862338390.82212531070445
0.9100.6564154302510.991869204721323
0.91101.0412590423921.18785973695305
0.92101.5047305198721.37849584059882
0.93102.0411474574811.5241612776609
0.94102.628719063861.58047591629775
0.95103.2280180341121.5069209005236
0.96103.7856209031931.2835574317719
0.97104.2452901877020.931959898348324
0.98104.5659940101870.528113389009538
0.99104.7401362458320.186967115943738


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')