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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 04 Oct 2014 11:23:28 +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/04/t1412418233muevy89kn3colil.htm/, Retrieved Mon, 13 May 2024 15:59:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238531, Retrieved Mon, 13 May 2024 15:59:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact145

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [] [2014-10-03 16:50:45] [3d50c3f1d1505d45371c80c331b9aa00]
- RMPD    [Harrell-Davis Quantiles] [] [2014-10-04 10:23:28] [3b96c46cffecdf3c11148678d326f85c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
111,4
117
141,7
120
132,1
146,7
122,5
99,6
122,7
139
117,8
125,5
134,5
121,3
126,7
117,7
123
132,1
113,1
89,2
121,7
105,3
85,3
105,3
72,2
92,1
97,2
78,6
78,1
93
81
65,9
88,6
85,7
76,3
96,8
76,8
85,6
119,2
91,4
95,7
112,3
95,2
82,8
111,3
108,2
97
124,4
99,3
117,6
131,5
114,2
116,8
116,5
105,4
89,2
115,8
111,4
106,4
128,4
107,7
111
129,8
130,5
142,9
159,9
84,1
75
100,7
106,8
97,4
113
76,9
87,3
103,7
92,1
92,9
112,2
88,7
74,6
101,5
119,7
120,7
153,5

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=238531&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=238531&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238531&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
0.0168.06893906074834.92850276917239
0.0270.85433829140083.36880094284451
0.0373.05387501804832.29095128533406
0.0474.52421778362051.75477020093614
0.0575.53829787147721.59728253187302
0.0676.34791283323451.68136597549593
0.0777.10333765910951.92702746723218
0.0877.88341829959822.26793102621571
0.0978.72356907522752.62975478426374
0.179.62936139216832.94095604362244
0.1180.58513209653793.1512047801368
0.1281.56305186907113.24112072934868
0.1382.5326100206633.22215546385975
0.1483.46836046434093.1266554024139
0.1584.35426681355522.99490056870815
0.1685.18443034842442.86188915248761
0.1785.96118682989462.75088944875242
0.1886.69203060913022.67205754820063
0.1987.38662683107552.62612941301079
0.288.05462805251532.60850338458213
0.2188.70445795426972.61344914636856
0.2289.34286719160922.63572319235085
0.2389.97494662801162.67023826899501
0.2490.60433178046312.71280444272334
0.2591.2334469670632.75956797834286
0.2691.86374095538162.80718424515043
0.2792.49592445165382.8533762885008
0.2893.130233997032.89683844497205
0.2993.76673170942932.93751522051949
0.394.40562183973742.97719384500833
0.3195.04753639087853.01907963388455
0.3295.6937241450443.06770763346885
0.3396.34607942552413.12735701605163
0.3497.00697307272333.2010371990392
0.3597.67889452856313.28851590973927
0.3698.36396782564783.38625049540997
0.3799.0634477083523.48760583197574
0.3899.77731866187643.58371811876094
0.39100.5041010892193.66521780843762
0.4101.2409188226613.72487732133311
0.41101.983814979463.75762678570923
0.42102.7282392128853.76239358573468
0.43103.4695881354453.7407061135607
0.44104.2036743479953.69765444888428
0.45104.9270292818093.63852405392463
0.46105.6370008268183.56863862803939
0.47106.331670370493.49178885212763
0.48107.0096651468843.40952157035975
0.49107.6699647882173.32197714205576
0.5108.3117892453243.22915054748573
0.51108.9346138685053.13101683653139
0.52109.5383012404413.02957045930642
0.53110.1232879194192.92886374886425
0.54110.6907353907532.83360330099325
0.55111.242558348872.7497033084539
0.56111.7812790643412.68128068205351
0.57112.3097125282822.62977898714695
0.58112.8305450183822.59335606246362
0.59113.3459095835722.56737204114021
0.6113.8570719245842.54505607220799
0.61114.3643152266482.51966728991715
0.62114.8670597098072.48606322753143
0.63115.3641879393582.44210331864135
0.64115.8544901744692.38856115742165
0.65116.3371128319112.32912463672567
0.66116.8118972384492.26930185549392
0.67117.2795339622872.21445115390812
0.68117.7415182207032.16912177421545
0.69118.1999553477512.13572296448772
0.7118.6573123009562.11427213031472
0.71119.1162269936392.10393536522117
0.72119.5794663910092.10326539142097
0.73120.0500716651042.11248372701191
0.74120.5316576257092.13382853748995
0.75121.0287624121232.17175899341482
0.76121.5470914114482.23233249888521
0.77122.0934838480342.32083657601611
0.78122.6754641134852.43982549506958
0.79123.3003281107912.58609184867996
0.8123.973852929552.74986768677893
0.81124.6988882839822.9146221712849
0.82125.4742577060983.05970022981856
0.83126.2945183661443.16433631088244
0.84127.1511365423533.21408349050159
0.85128.0354518495853.20739933217056
0.86128.9433441242973.16156268705841
0.87129.880741891233.11696670526991
0.88130.8681344766563.13323323387915
0.89131.9415054421033.27163179032507
0.9133.1474413086443.56018858605767
0.91134.5325818273913.96269465097953
0.92136.132272761544.3832124391265
0.93137.9681982391014.71553493574109
0.94140.0647851343674.92223154022458
0.95142.4833768012355.09928930094732
0.96145.3507857156195.42644880565776
0.97148.8297431585445.91996640221115
0.98152.9392047652896.26603428998681
0.99157.1254343200766.282400864874

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 68.0689390607483 & 4.92850276917239 \tabularnewline
0.02 & 70.8543382914008 & 3.36880094284451 \tabularnewline
0.03 & 73.0538750180483 & 2.29095128533406 \tabularnewline
0.04 & 74.5242177836205 & 1.75477020093614 \tabularnewline
0.05 & 75.5382978714772 & 1.59728253187302 \tabularnewline
0.06 & 76.3479128332345 & 1.68136597549593 \tabularnewline
0.07 & 77.1033376591095 & 1.92702746723218 \tabularnewline
0.08 & 77.8834182995982 & 2.26793102621571 \tabularnewline
0.09 & 78.7235690752275 & 2.62975478426374 \tabularnewline
0.1 & 79.6293613921683 & 2.94095604362244 \tabularnewline
0.11 & 80.5851320965379 & 3.1512047801368 \tabularnewline
0.12 & 81.5630518690711 & 3.24112072934868 \tabularnewline
0.13 & 82.532610020663 & 3.22215546385975 \tabularnewline
0.14 & 83.4683604643409 & 3.1266554024139 \tabularnewline
0.15 & 84.3542668135552 & 2.99490056870815 \tabularnewline
0.16 & 85.1844303484244 & 2.86188915248761 \tabularnewline
0.17 & 85.9611868298946 & 2.75088944875242 \tabularnewline
0.18 & 86.6920306091302 & 2.67205754820063 \tabularnewline
0.19 & 87.3866268310755 & 2.62612941301079 \tabularnewline
0.2 & 88.0546280525153 & 2.60850338458213 \tabularnewline
0.21 & 88.7044579542697 & 2.61344914636856 \tabularnewline
0.22 & 89.3428671916092 & 2.63572319235085 \tabularnewline
0.23 & 89.9749466280116 & 2.67023826899501 \tabularnewline
0.24 & 90.6043317804631 & 2.71280444272334 \tabularnewline
0.25 & 91.233446967063 & 2.75956797834286 \tabularnewline
0.26 & 91.8637409553816 & 2.80718424515043 \tabularnewline
0.27 & 92.4959244516538 & 2.8533762885008 \tabularnewline
0.28 & 93.13023399703 & 2.89683844497205 \tabularnewline
0.29 & 93.7667317094293 & 2.93751522051949 \tabularnewline
0.3 & 94.4056218397374 & 2.97719384500833 \tabularnewline
0.31 & 95.0475363908785 & 3.01907963388455 \tabularnewline
0.32 & 95.693724145044 & 3.06770763346885 \tabularnewline
0.33 & 96.3460794255241 & 3.12735701605163 \tabularnewline
0.34 & 97.0069730727233 & 3.2010371990392 \tabularnewline
0.35 & 97.6788945285631 & 3.28851590973927 \tabularnewline
0.36 & 98.3639678256478 & 3.38625049540997 \tabularnewline
0.37 & 99.063447708352 & 3.48760583197574 \tabularnewline
0.38 & 99.7773186618764 & 3.58371811876094 \tabularnewline
0.39 & 100.504101089219 & 3.66521780843762 \tabularnewline
0.4 & 101.240918822661 & 3.72487732133311 \tabularnewline
0.41 & 101.98381497946 & 3.75762678570923 \tabularnewline
0.42 & 102.728239212885 & 3.76239358573468 \tabularnewline
0.43 & 103.469588135445 & 3.7407061135607 \tabularnewline
0.44 & 104.203674347995 & 3.69765444888428 \tabularnewline
0.45 & 104.927029281809 & 3.63852405392463 \tabularnewline
0.46 & 105.637000826818 & 3.56863862803939 \tabularnewline
0.47 & 106.33167037049 & 3.49178885212763 \tabularnewline
0.48 & 107.009665146884 & 3.40952157035975 \tabularnewline
0.49 & 107.669964788217 & 3.32197714205576 \tabularnewline
0.5 & 108.311789245324 & 3.22915054748573 \tabularnewline
0.51 & 108.934613868505 & 3.13101683653139 \tabularnewline
0.52 & 109.538301240441 & 3.02957045930642 \tabularnewline
0.53 & 110.123287919419 & 2.92886374886425 \tabularnewline
0.54 & 110.690735390753 & 2.83360330099325 \tabularnewline
0.55 & 111.24255834887 & 2.7497033084539 \tabularnewline
0.56 & 111.781279064341 & 2.68128068205351 \tabularnewline
0.57 & 112.309712528282 & 2.62977898714695 \tabularnewline
0.58 & 112.830545018382 & 2.59335606246362 \tabularnewline
0.59 & 113.345909583572 & 2.56737204114021 \tabularnewline
0.6 & 113.857071924584 & 2.54505607220799 \tabularnewline
0.61 & 114.364315226648 & 2.51966728991715 \tabularnewline
0.62 & 114.867059709807 & 2.48606322753143 \tabularnewline
0.63 & 115.364187939358 & 2.44210331864135 \tabularnewline
0.64 & 115.854490174469 & 2.38856115742165 \tabularnewline
0.65 & 116.337112831911 & 2.32912463672567 \tabularnewline
0.66 & 116.811897238449 & 2.26930185549392 \tabularnewline
0.67 & 117.279533962287 & 2.21445115390812 \tabularnewline
0.68 & 117.741518220703 & 2.16912177421545 \tabularnewline
0.69 & 118.199955347751 & 2.13572296448772 \tabularnewline
0.7 & 118.657312300956 & 2.11427213031472 \tabularnewline
0.71 & 119.116226993639 & 2.10393536522117 \tabularnewline
0.72 & 119.579466391009 & 2.10326539142097 \tabularnewline
0.73 & 120.050071665104 & 2.11248372701191 \tabularnewline
0.74 & 120.531657625709 & 2.13382853748995 \tabularnewline
0.75 & 121.028762412123 & 2.17175899341482 \tabularnewline
0.76 & 121.547091411448 & 2.23233249888521 \tabularnewline
0.77 & 122.093483848034 & 2.32083657601611 \tabularnewline
0.78 & 122.675464113485 & 2.43982549506958 \tabularnewline
0.79 & 123.300328110791 & 2.58609184867996 \tabularnewline
0.8 & 123.97385292955 & 2.74986768677893 \tabularnewline
0.81 & 124.698888283982 & 2.9146221712849 \tabularnewline
0.82 & 125.474257706098 & 3.05970022981856 \tabularnewline
0.83 & 126.294518366144 & 3.16433631088244 \tabularnewline
0.84 & 127.151136542353 & 3.21408349050159 \tabularnewline
0.85 & 128.035451849585 & 3.20739933217056 \tabularnewline
0.86 & 128.943344124297 & 3.16156268705841 \tabularnewline
0.87 & 129.88074189123 & 3.11696670526991 \tabularnewline
0.88 & 130.868134476656 & 3.13323323387915 \tabularnewline
0.89 & 131.941505442103 & 3.27163179032507 \tabularnewline
0.9 & 133.147441308644 & 3.56018858605767 \tabularnewline
0.91 & 134.532581827391 & 3.96269465097953 \tabularnewline
0.92 & 136.13227276154 & 4.3832124391265 \tabularnewline
0.93 & 137.968198239101 & 4.71553493574109 \tabularnewline
0.94 & 140.064785134367 & 4.92223154022458 \tabularnewline
0.95 & 142.483376801235 & 5.09928930094732 \tabularnewline
0.96 & 145.350785715619 & 5.42644880565776 \tabularnewline
0.97 & 148.829743158544 & 5.91996640221115 \tabularnewline
0.98 & 152.939204765289 & 6.26603428998681 \tabularnewline
0.99 & 157.125434320076 & 6.282400864874 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238531&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]68.0689390607483[/C][C]4.92850276917239[/C][/ROW]
[ROW][C]0.02[/C][C]70.8543382914008[/C][C]3.36880094284451[/C][/ROW]
[ROW][C]0.03[/C][C]73.0538750180483[/C][C]2.29095128533406[/C][/ROW]
[ROW][C]0.04[/C][C]74.5242177836205[/C][C]1.75477020093614[/C][/ROW]
[ROW][C]0.05[/C][C]75.5382978714772[/C][C]1.59728253187302[/C][/ROW]
[ROW][C]0.06[/C][C]76.3479128332345[/C][C]1.68136597549593[/C][/ROW]
[ROW][C]0.07[/C][C]77.1033376591095[/C][C]1.92702746723218[/C][/ROW]
[ROW][C]0.08[/C][C]77.8834182995982[/C][C]2.26793102621571[/C][/ROW]
[ROW][C]0.09[/C][C]78.7235690752275[/C][C]2.62975478426374[/C][/ROW]
[ROW][C]0.1[/C][C]79.6293613921683[/C][C]2.94095604362244[/C][/ROW]
[ROW][C]0.11[/C][C]80.5851320965379[/C][C]3.1512047801368[/C][/ROW]
[ROW][C]0.12[/C][C]81.5630518690711[/C][C]3.24112072934868[/C][/ROW]
[ROW][C]0.13[/C][C]82.532610020663[/C][C]3.22215546385975[/C][/ROW]
[ROW][C]0.14[/C][C]83.4683604643409[/C][C]3.1266554024139[/C][/ROW]
[ROW][C]0.15[/C][C]84.3542668135552[/C][C]2.99490056870815[/C][/ROW]
[ROW][C]0.16[/C][C]85.1844303484244[/C][C]2.86188915248761[/C][/ROW]
[ROW][C]0.17[/C][C]85.9611868298946[/C][C]2.75088944875242[/C][/ROW]
[ROW][C]0.18[/C][C]86.6920306091302[/C][C]2.67205754820063[/C][/ROW]
[ROW][C]0.19[/C][C]87.3866268310755[/C][C]2.62612941301079[/C][/ROW]
[ROW][C]0.2[/C][C]88.0546280525153[/C][C]2.60850338458213[/C][/ROW]
[ROW][C]0.21[/C][C]88.7044579542697[/C][C]2.61344914636856[/C][/ROW]
[ROW][C]0.22[/C][C]89.3428671916092[/C][C]2.63572319235085[/C][/ROW]
[ROW][C]0.23[/C][C]89.9749466280116[/C][C]2.67023826899501[/C][/ROW]
[ROW][C]0.24[/C][C]90.6043317804631[/C][C]2.71280444272334[/C][/ROW]
[ROW][C]0.25[/C][C]91.233446967063[/C][C]2.75956797834286[/C][/ROW]
[ROW][C]0.26[/C][C]91.8637409553816[/C][C]2.80718424515043[/C][/ROW]
[ROW][C]0.27[/C][C]92.4959244516538[/C][C]2.8533762885008[/C][/ROW]
[ROW][C]0.28[/C][C]93.13023399703[/C][C]2.89683844497205[/C][/ROW]
[ROW][C]0.29[/C][C]93.7667317094293[/C][C]2.93751522051949[/C][/ROW]
[ROW][C]0.3[/C][C]94.4056218397374[/C][C]2.97719384500833[/C][/ROW]
[ROW][C]0.31[/C][C]95.0475363908785[/C][C]3.01907963388455[/C][/ROW]
[ROW][C]0.32[/C][C]95.693724145044[/C][C]3.06770763346885[/C][/ROW]
[ROW][C]0.33[/C][C]96.3460794255241[/C][C]3.12735701605163[/C][/ROW]
[ROW][C]0.34[/C][C]97.0069730727233[/C][C]3.2010371990392[/C][/ROW]
[ROW][C]0.35[/C][C]97.6788945285631[/C][C]3.28851590973927[/C][/ROW]
[ROW][C]0.36[/C][C]98.3639678256478[/C][C]3.38625049540997[/C][/ROW]
[ROW][C]0.37[/C][C]99.063447708352[/C][C]3.48760583197574[/C][/ROW]
[ROW][C]0.38[/C][C]99.7773186618764[/C][C]3.58371811876094[/C][/ROW]
[ROW][C]0.39[/C][C]100.504101089219[/C][C]3.66521780843762[/C][/ROW]
[ROW][C]0.4[/C][C]101.240918822661[/C][C]3.72487732133311[/C][/ROW]
[ROW][C]0.41[/C][C]101.98381497946[/C][C]3.75762678570923[/C][/ROW]
[ROW][C]0.42[/C][C]102.728239212885[/C][C]3.76239358573468[/C][/ROW]
[ROW][C]0.43[/C][C]103.469588135445[/C][C]3.7407061135607[/C][/ROW]
[ROW][C]0.44[/C][C]104.203674347995[/C][C]3.69765444888428[/C][/ROW]
[ROW][C]0.45[/C][C]104.927029281809[/C][C]3.63852405392463[/C][/ROW]
[ROW][C]0.46[/C][C]105.637000826818[/C][C]3.56863862803939[/C][/ROW]
[ROW][C]0.47[/C][C]106.33167037049[/C][C]3.49178885212763[/C][/ROW]
[ROW][C]0.48[/C][C]107.009665146884[/C][C]3.40952157035975[/C][/ROW]
[ROW][C]0.49[/C][C]107.669964788217[/C][C]3.32197714205576[/C][/ROW]
[ROW][C]0.5[/C][C]108.311789245324[/C][C]3.22915054748573[/C][/ROW]
[ROW][C]0.51[/C][C]108.934613868505[/C][C]3.13101683653139[/C][/ROW]
[ROW][C]0.52[/C][C]109.538301240441[/C][C]3.02957045930642[/C][/ROW]
[ROW][C]0.53[/C][C]110.123287919419[/C][C]2.92886374886425[/C][/ROW]
[ROW][C]0.54[/C][C]110.690735390753[/C][C]2.83360330099325[/C][/ROW]
[ROW][C]0.55[/C][C]111.24255834887[/C][C]2.7497033084539[/C][/ROW]
[ROW][C]0.56[/C][C]111.781279064341[/C][C]2.68128068205351[/C][/ROW]
[ROW][C]0.57[/C][C]112.309712528282[/C][C]2.62977898714695[/C][/ROW]
[ROW][C]0.58[/C][C]112.830545018382[/C][C]2.59335606246362[/C][/ROW]
[ROW][C]0.59[/C][C]113.345909583572[/C][C]2.56737204114021[/C][/ROW]
[ROW][C]0.6[/C][C]113.857071924584[/C][C]2.54505607220799[/C][/ROW]
[ROW][C]0.61[/C][C]114.364315226648[/C][C]2.51966728991715[/C][/ROW]
[ROW][C]0.62[/C][C]114.867059709807[/C][C]2.48606322753143[/C][/ROW]
[ROW][C]0.63[/C][C]115.364187939358[/C][C]2.44210331864135[/C][/ROW]
[ROW][C]0.64[/C][C]115.854490174469[/C][C]2.38856115742165[/C][/ROW]
[ROW][C]0.65[/C][C]116.337112831911[/C][C]2.32912463672567[/C][/ROW]
[ROW][C]0.66[/C][C]116.811897238449[/C][C]2.26930185549392[/C][/ROW]
[ROW][C]0.67[/C][C]117.279533962287[/C][C]2.21445115390812[/C][/ROW]
[ROW][C]0.68[/C][C]117.741518220703[/C][C]2.16912177421545[/C][/ROW]
[ROW][C]0.69[/C][C]118.199955347751[/C][C]2.13572296448772[/C][/ROW]
[ROW][C]0.7[/C][C]118.657312300956[/C][C]2.11427213031472[/C][/ROW]
[ROW][C]0.71[/C][C]119.116226993639[/C][C]2.10393536522117[/C][/ROW]
[ROW][C]0.72[/C][C]119.579466391009[/C][C]2.10326539142097[/C][/ROW]
[ROW][C]0.73[/C][C]120.050071665104[/C][C]2.11248372701191[/C][/ROW]
[ROW][C]0.74[/C][C]120.531657625709[/C][C]2.13382853748995[/C][/ROW]
[ROW][C]0.75[/C][C]121.028762412123[/C][C]2.17175899341482[/C][/ROW]
[ROW][C]0.76[/C][C]121.547091411448[/C][C]2.23233249888521[/C][/ROW]
[ROW][C]0.77[/C][C]122.093483848034[/C][C]2.32083657601611[/C][/ROW]
[ROW][C]0.78[/C][C]122.675464113485[/C][C]2.43982549506958[/C][/ROW]
[ROW][C]0.79[/C][C]123.300328110791[/C][C]2.58609184867996[/C][/ROW]
[ROW][C]0.8[/C][C]123.97385292955[/C][C]2.74986768677893[/C][/ROW]
[ROW][C]0.81[/C][C]124.698888283982[/C][C]2.9146221712849[/C][/ROW]
[ROW][C]0.82[/C][C]125.474257706098[/C][C]3.05970022981856[/C][/ROW]
[ROW][C]0.83[/C][C]126.294518366144[/C][C]3.16433631088244[/C][/ROW]
[ROW][C]0.84[/C][C]127.151136542353[/C][C]3.21408349050159[/C][/ROW]
[ROW][C]0.85[/C][C]128.035451849585[/C][C]3.20739933217056[/C][/ROW]
[ROW][C]0.86[/C][C]128.943344124297[/C][C]3.16156268705841[/C][/ROW]
[ROW][C]0.87[/C][C]129.88074189123[/C][C]3.11696670526991[/C][/ROW]
[ROW][C]0.88[/C][C]130.868134476656[/C][C]3.13323323387915[/C][/ROW]
[ROW][C]0.89[/C][C]131.941505442103[/C][C]3.27163179032507[/C][/ROW]
[ROW][C]0.9[/C][C]133.147441308644[/C][C]3.56018858605767[/C][/ROW]
[ROW][C]0.91[/C][C]134.532581827391[/C][C]3.96269465097953[/C][/ROW]
[ROW][C]0.92[/C][C]136.13227276154[/C][C]4.3832124391265[/C][/ROW]
[ROW][C]0.93[/C][C]137.968198239101[/C][C]4.71553493574109[/C][/ROW]
[ROW][C]0.94[/C][C]140.064785134367[/C][C]4.92223154022458[/C][/ROW]
[ROW][C]0.95[/C][C]142.483376801235[/C][C]5.09928930094732[/C][/ROW]
[ROW][C]0.96[/C][C]145.350785715619[/C][C]5.42644880565776[/C][/ROW]
[ROW][C]0.97[/C][C]148.829743158544[/C][C]5.91996640221115[/C][/ROW]
[ROW][C]0.98[/C][C]152.939204765289[/C][C]6.26603428998681[/C][/ROW]
[ROW][C]0.99[/C][C]157.125434320076[/C][C]6.282400864874[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238531&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238531&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
0.0168.06893906074834.92850276917239
0.0270.85433829140083.36880094284451
0.0373.05387501804832.29095128533406
0.0474.52421778362051.75477020093614
0.0575.53829787147721.59728253187302
0.0676.34791283323451.68136597549593
0.0777.10333765910951.92702746723218
0.0877.88341829959822.26793102621571
0.0978.72356907522752.62975478426374
0.179.62936139216832.94095604362244
0.1180.58513209653793.1512047801368
0.1281.56305186907113.24112072934868
0.1382.5326100206633.22215546385975
0.1483.46836046434093.1266554024139
0.1584.35426681355522.99490056870815
0.1685.18443034842442.86188915248761
0.1785.96118682989462.75088944875242
0.1886.69203060913022.67205754820063
0.1987.38662683107552.62612941301079
0.288.05462805251532.60850338458213
0.2188.70445795426972.61344914636856
0.2289.34286719160922.63572319235085
0.2389.97494662801162.67023826899501
0.2490.60433178046312.71280444272334
0.2591.2334469670632.75956797834286
0.2691.86374095538162.80718424515043
0.2792.49592445165382.8533762885008
0.2893.130233997032.89683844497205
0.2993.76673170942932.93751522051949
0.394.40562183973742.97719384500833
0.3195.04753639087853.01907963388455
0.3295.6937241450443.06770763346885
0.3396.34607942552413.12735701605163
0.3497.00697307272333.2010371990392
0.3597.67889452856313.28851590973927
0.3698.36396782564783.38625049540997
0.3799.0634477083523.48760583197574
0.3899.77731866187643.58371811876094
0.39100.5041010892193.66521780843762
0.4101.2409188226613.72487732133311
0.41101.983814979463.75762678570923
0.42102.7282392128853.76239358573468
0.43103.4695881354453.7407061135607
0.44104.2036743479953.69765444888428
0.45104.9270292818093.63852405392463
0.46105.6370008268183.56863862803939
0.47106.331670370493.49178885212763
0.48107.0096651468843.40952157035975
0.49107.6699647882173.32197714205576
0.5108.3117892453243.22915054748573
0.51108.9346138685053.13101683653139
0.52109.5383012404413.02957045930642
0.53110.1232879194192.92886374886425
0.54110.6907353907532.83360330099325
0.55111.242558348872.7497033084539
0.56111.7812790643412.68128068205351
0.57112.3097125282822.62977898714695
0.58112.8305450183822.59335606246362
0.59113.3459095835722.56737204114021
0.6113.8570719245842.54505607220799
0.61114.3643152266482.51966728991715
0.62114.8670597098072.48606322753143
0.63115.3641879393582.44210331864135
0.64115.8544901744692.38856115742165
0.65116.3371128319112.32912463672567
0.66116.8118972384492.26930185549392
0.67117.2795339622872.21445115390812
0.68117.7415182207032.16912177421545
0.69118.1999553477512.13572296448772
0.7118.6573123009562.11427213031472
0.71119.1162269936392.10393536522117
0.72119.5794663910092.10326539142097
0.73120.0500716651042.11248372701191
0.74120.5316576257092.13382853748995
0.75121.0287624121232.17175899341482
0.76121.5470914114482.23233249888521
0.77122.0934838480342.32083657601611
0.78122.6754641134852.43982549506958
0.79123.3003281107912.58609184867996
0.8123.973852929552.74986768677893
0.81124.6988882839822.9146221712849
0.82125.4742577060983.05970022981856
0.83126.2945183661443.16433631088244
0.84127.1511365423533.21408349050159
0.85128.0354518495853.20739933217056
0.86128.9433441242973.16156268705841
0.87129.880741891233.11696670526991
0.88130.8681344766563.13323323387915
0.89131.9415054421033.27163179032507
0.9133.1474413086443.56018858605767
0.91134.5325818273913.96269465097953
0.92136.132272761544.3832124391265
0.93137.9681982391014.71553493574109
0.94140.0647851343674.92223154022458
0.95142.4833768012355.09928930094732
0.96145.3507857156195.42644880565776
0.97148.8297431585445.91996640221115
0.98152.9392047652896.26603428998681
0.99157.1254343200766.282400864874


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
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')