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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 computationWed, 12 Oct 2011 06:41:32 -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/2011/Oct/12/t1318416224fy95g7fpzhewqo5.htm/, Retrieved Fri, 10 May 2024 03:31:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128278, Retrieved Fri, 10 May 2024 03:31:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact120

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] [] [2011-10-12 10:41:32] [704adabfc46bcbd971bf5c1481d7b31c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2.02
2.02
2.02
2.02
2.03
2.03
2.03
2.04
2.04
2.05
2.06
2.06
2.07
2.08
2.08
2.08
2.09
2.09
2.09
2.1
2.1
2.1
2.11
2.11
2.11
2.13
2.18
2.2
2.21
2.21
2.22
2.22
2.23
2.23
2.23
2.23
2.24
2.25
2.26
2.27
2.28
2.29
2.3
2.3
2.3
2.32
2.32
2.32
2.33
2.34
2.34
2.34
2.35
2.35
2.36
2.37
2.37
2.37
2.38
2.38
2.38
2.39
2.4
2.41
2.42
2.43
2.43
2.43
2.43
2.44
2.44
2.45

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'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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128278&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128278&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128278&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.020086776834220.000331353497738611
0.022.020416105629050.00122165965842158
0.032.021162643644050.00261094393843453
0.042.022431600503240.00417119049839999
0.052.024219768655280.00558790935553534
0.062.026445550213190.00676994770960066
0.072.029012260676690.00785462615660655
0.082.031855808772860.00902152936698615
0.092.034954237614750.0103440402063694
0.12.038308020034690.0117536600077391
0.112.041913017518750.0131119660488902
0.122.045742724926990.01428957808759
0.132.049744709415670.0151863549671419
0.142.053847693104490.0157552035084368
0.152.057973161355320.0159940077435974
0.162.062046704291380.0159348509212758
0.172.066006706678420.0156380657348996
0.182.069809854213330.0151825263172648
0.192.073433864582490.0146557959115609
0.22.076878150442060.0141566080580284
0.212.080163120975790.0137777112220073
0.222.083328716525630.0136158550673534
0.232.08643259121970.0137688266791819
0.242.089548106170010.0143232625972359
0.252.092761993379160.0153592522341502
0.262.096171274786740.0169366910614204
0.272.099878880827280.0190930834266695
0.282.103987501587310.0218119079348705
0.292.108591551156330.0250201624333319
0.32.11376767356260.0285973744907151
0.312.119564826769680.0323448965260174
0.322.125995465780890.0360402874554955
0.332.133029535615490.0394223715333579
0.342.14059277742620.0422454186425212
0.352.148570250766930.0442954369328784
0.362.15681509879240.0454179659006151
0.372.165161630232390.0455532654477256
0.382.173440987632260.0447263715997777
0.392.181497202456230.043059065719062
0.42.189201401416230.0407355865005307
0.412.196462310623160.0380003472100685
0.422.203231892195740.0351091722469616
0.432.209505771064810.0323153718076876
0.442.215318890909160.0298406109156176
0.452.220737439638530.0278528068897502
0.462.22584843377360.0264512034663944
0.472.23074844178290.0256613492168018
0.482.23553280358040.0254315436230467
0.492.240286436318770.0256616384941194
0.52.245076975548350.0262076108567815
0.512.249950641919120.0269212121914319
0.522.254930884823020.0276611883500227
0.532.260019559203640.0283011694164246
0.542.265200155982850.0287587997210309
0.552.270442443300860.0289761004727761
0.562.275707796469060.0289247850083688
0.572.280954505988890.0286152078209678
0.582.286142452692880.0280693489769898
0.592.291236711650520.0273375704605013
0.62.29620986343830.0264760849093136
0.612.301043014860020.0255333238583298
0.622.305725721258650.0245574038485807
0.632.310255125871030.023590917005277
0.642.314634669594170.0226579848336219
0.652.318872678209460.0217795800524334
0.662.322981025222480.0209683059124647
0.672.326973934915650.0202327076356566
0.682.330866877127490.0195786707277802
0.692.334675452969470.0190069509879337
0.72.338414202003480.0185104828625476
0.712.342095372095930.0180775382386444
0.722.345727849009430.0176837434096659
0.732.349316585803970.0173070730718662
0.742.352862935811940.0169178106594464
0.752.356366223062620.0164983785937504
0.762.359826658412220.0160457582496435
0.772.363249350528930.0155821457394519
0.782.366648735303810.0151539394986236
0.792.370052355542480.0148320092823762
0.82.373502679257160.0146958469731664
0.812.377055655785030.014818458598325
0.822.380775051371490.0152333201923501
0.832.384722308822030.0159138413105725
0.842.38894270472890.0167629583450641
0.852.393449823140020.0176137139707266
0.862.398211634046660.0182571811666236
0.872.403142470483910.0184734460064981
0.882.408105525110720.0180807277861436
0.892.412929558701530.0169784438202
0.92.41744062992090.0151997562810038
0.912.421504332030130.0129323167549607
0.922.425066930634420.0105076694729028
0.932.428178372496570.00834582145292813
0.942.430983489981430.00682686145118856
0.952.433686393942950.00605534632071532
0.962.436517134197080.00573004009621335
0.972.439712051291490.00561637864757422
0.982.443406250985990.00620277966634966
0.992.447251091778020.00798403294382717

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2.02008677683422 & 0.000331353497738611 \tabularnewline
0.02 & 2.02041610562905 & 0.00122165965842158 \tabularnewline
0.03 & 2.02116264364405 & 0.00261094393843453 \tabularnewline
0.04 & 2.02243160050324 & 0.00417119049839999 \tabularnewline
0.05 & 2.02421976865528 & 0.00558790935553534 \tabularnewline
0.06 & 2.02644555021319 & 0.00676994770960066 \tabularnewline
0.07 & 2.02901226067669 & 0.00785462615660655 \tabularnewline
0.08 & 2.03185580877286 & 0.00902152936698615 \tabularnewline
0.09 & 2.03495423761475 & 0.0103440402063694 \tabularnewline
0.1 & 2.03830802003469 & 0.0117536600077391 \tabularnewline
0.11 & 2.04191301751875 & 0.0131119660488902 \tabularnewline
0.12 & 2.04574272492699 & 0.01428957808759 \tabularnewline
0.13 & 2.04974470941567 & 0.0151863549671419 \tabularnewline
0.14 & 2.05384769310449 & 0.0157552035084368 \tabularnewline
0.15 & 2.05797316135532 & 0.0159940077435974 \tabularnewline
0.16 & 2.06204670429138 & 0.0159348509212758 \tabularnewline
0.17 & 2.06600670667842 & 0.0156380657348996 \tabularnewline
0.18 & 2.06980985421333 & 0.0151825263172648 \tabularnewline
0.19 & 2.07343386458249 & 0.0146557959115609 \tabularnewline
0.2 & 2.07687815044206 & 0.0141566080580284 \tabularnewline
0.21 & 2.08016312097579 & 0.0137777112220073 \tabularnewline
0.22 & 2.08332871652563 & 0.0136158550673534 \tabularnewline
0.23 & 2.0864325912197 & 0.0137688266791819 \tabularnewline
0.24 & 2.08954810617001 & 0.0143232625972359 \tabularnewline
0.25 & 2.09276199337916 & 0.0153592522341502 \tabularnewline
0.26 & 2.09617127478674 & 0.0169366910614204 \tabularnewline
0.27 & 2.09987888082728 & 0.0190930834266695 \tabularnewline
0.28 & 2.10398750158731 & 0.0218119079348705 \tabularnewline
0.29 & 2.10859155115633 & 0.0250201624333319 \tabularnewline
0.3 & 2.1137676735626 & 0.0285973744907151 \tabularnewline
0.31 & 2.11956482676968 & 0.0323448965260174 \tabularnewline
0.32 & 2.12599546578089 & 0.0360402874554955 \tabularnewline
0.33 & 2.13302953561549 & 0.0394223715333579 \tabularnewline
0.34 & 2.1405927774262 & 0.0422454186425212 \tabularnewline
0.35 & 2.14857025076693 & 0.0442954369328784 \tabularnewline
0.36 & 2.1568150987924 & 0.0454179659006151 \tabularnewline
0.37 & 2.16516163023239 & 0.0455532654477256 \tabularnewline
0.38 & 2.17344098763226 & 0.0447263715997777 \tabularnewline
0.39 & 2.18149720245623 & 0.043059065719062 \tabularnewline
0.4 & 2.18920140141623 & 0.0407355865005307 \tabularnewline
0.41 & 2.19646231062316 & 0.0380003472100685 \tabularnewline
0.42 & 2.20323189219574 & 0.0351091722469616 \tabularnewline
0.43 & 2.20950577106481 & 0.0323153718076876 \tabularnewline
0.44 & 2.21531889090916 & 0.0298406109156176 \tabularnewline
0.45 & 2.22073743963853 & 0.0278528068897502 \tabularnewline
0.46 & 2.2258484337736 & 0.0264512034663944 \tabularnewline
0.47 & 2.2307484417829 & 0.0256613492168018 \tabularnewline
0.48 & 2.2355328035804 & 0.0254315436230467 \tabularnewline
0.49 & 2.24028643631877 & 0.0256616384941194 \tabularnewline
0.5 & 2.24507697554835 & 0.0262076108567815 \tabularnewline
0.51 & 2.24995064191912 & 0.0269212121914319 \tabularnewline
0.52 & 2.25493088482302 & 0.0276611883500227 \tabularnewline
0.53 & 2.26001955920364 & 0.0283011694164246 \tabularnewline
0.54 & 2.26520015598285 & 0.0287587997210309 \tabularnewline
0.55 & 2.27044244330086 & 0.0289761004727761 \tabularnewline
0.56 & 2.27570779646906 & 0.0289247850083688 \tabularnewline
0.57 & 2.28095450598889 & 0.0286152078209678 \tabularnewline
0.58 & 2.28614245269288 & 0.0280693489769898 \tabularnewline
0.59 & 2.29123671165052 & 0.0273375704605013 \tabularnewline
0.6 & 2.2962098634383 & 0.0264760849093136 \tabularnewline
0.61 & 2.30104301486002 & 0.0255333238583298 \tabularnewline
0.62 & 2.30572572125865 & 0.0245574038485807 \tabularnewline
0.63 & 2.31025512587103 & 0.023590917005277 \tabularnewline
0.64 & 2.31463466959417 & 0.0226579848336219 \tabularnewline
0.65 & 2.31887267820946 & 0.0217795800524334 \tabularnewline
0.66 & 2.32298102522248 & 0.0209683059124647 \tabularnewline
0.67 & 2.32697393491565 & 0.0202327076356566 \tabularnewline
0.68 & 2.33086687712749 & 0.0195786707277802 \tabularnewline
0.69 & 2.33467545296947 & 0.0190069509879337 \tabularnewline
0.7 & 2.33841420200348 & 0.0185104828625476 \tabularnewline
0.71 & 2.34209537209593 & 0.0180775382386444 \tabularnewline
0.72 & 2.34572784900943 & 0.0176837434096659 \tabularnewline
0.73 & 2.34931658580397 & 0.0173070730718662 \tabularnewline
0.74 & 2.35286293581194 & 0.0169178106594464 \tabularnewline
0.75 & 2.35636622306262 & 0.0164983785937504 \tabularnewline
0.76 & 2.35982665841222 & 0.0160457582496435 \tabularnewline
0.77 & 2.36324935052893 & 0.0155821457394519 \tabularnewline
0.78 & 2.36664873530381 & 0.0151539394986236 \tabularnewline
0.79 & 2.37005235554248 & 0.0148320092823762 \tabularnewline
0.8 & 2.37350267925716 & 0.0146958469731664 \tabularnewline
0.81 & 2.37705565578503 & 0.014818458598325 \tabularnewline
0.82 & 2.38077505137149 & 0.0152333201923501 \tabularnewline
0.83 & 2.38472230882203 & 0.0159138413105725 \tabularnewline
0.84 & 2.3889427047289 & 0.0167629583450641 \tabularnewline
0.85 & 2.39344982314002 & 0.0176137139707266 \tabularnewline
0.86 & 2.39821163404666 & 0.0182571811666236 \tabularnewline
0.87 & 2.40314247048391 & 0.0184734460064981 \tabularnewline
0.88 & 2.40810552511072 & 0.0180807277861436 \tabularnewline
0.89 & 2.41292955870153 & 0.0169784438202 \tabularnewline
0.9 & 2.4174406299209 & 0.0151997562810038 \tabularnewline
0.91 & 2.42150433203013 & 0.0129323167549607 \tabularnewline
0.92 & 2.42506693063442 & 0.0105076694729028 \tabularnewline
0.93 & 2.42817837249657 & 0.00834582145292813 \tabularnewline
0.94 & 2.43098348998143 & 0.00682686145118856 \tabularnewline
0.95 & 2.43368639394295 & 0.00605534632071532 \tabularnewline
0.96 & 2.43651713419708 & 0.00573004009621335 \tabularnewline
0.97 & 2.43971205129149 & 0.00561637864757422 \tabularnewline
0.98 & 2.44340625098599 & 0.00620277966634966 \tabularnewline
0.99 & 2.44725109177802 & 0.00798403294382717 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128278&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]2.02008677683422[/C][C]0.000331353497738611[/C][/ROW]
[ROW][C]0.02[/C][C]2.02041610562905[/C][C]0.00122165965842158[/C][/ROW]
[ROW][C]0.03[/C][C]2.02116264364405[/C][C]0.00261094393843453[/C][/ROW]
[ROW][C]0.04[/C][C]2.02243160050324[/C][C]0.00417119049839999[/C][/ROW]
[ROW][C]0.05[/C][C]2.02421976865528[/C][C]0.00558790935553534[/C][/ROW]
[ROW][C]0.06[/C][C]2.02644555021319[/C][C]0.00676994770960066[/C][/ROW]
[ROW][C]0.07[/C][C]2.02901226067669[/C][C]0.00785462615660655[/C][/ROW]
[ROW][C]0.08[/C][C]2.03185580877286[/C][C]0.00902152936698615[/C][/ROW]
[ROW][C]0.09[/C][C]2.03495423761475[/C][C]0.0103440402063694[/C][/ROW]
[ROW][C]0.1[/C][C]2.03830802003469[/C][C]0.0117536600077391[/C][/ROW]
[ROW][C]0.11[/C][C]2.04191301751875[/C][C]0.0131119660488902[/C][/ROW]
[ROW][C]0.12[/C][C]2.04574272492699[/C][C]0.01428957808759[/C][/ROW]
[ROW][C]0.13[/C][C]2.04974470941567[/C][C]0.0151863549671419[/C][/ROW]
[ROW][C]0.14[/C][C]2.05384769310449[/C][C]0.0157552035084368[/C][/ROW]
[ROW][C]0.15[/C][C]2.05797316135532[/C][C]0.0159940077435974[/C][/ROW]
[ROW][C]0.16[/C][C]2.06204670429138[/C][C]0.0159348509212758[/C][/ROW]
[ROW][C]0.17[/C][C]2.06600670667842[/C][C]0.0156380657348996[/C][/ROW]
[ROW][C]0.18[/C][C]2.06980985421333[/C][C]0.0151825263172648[/C][/ROW]
[ROW][C]0.19[/C][C]2.07343386458249[/C][C]0.0146557959115609[/C][/ROW]
[ROW][C]0.2[/C][C]2.07687815044206[/C][C]0.0141566080580284[/C][/ROW]
[ROW][C]0.21[/C][C]2.08016312097579[/C][C]0.0137777112220073[/C][/ROW]
[ROW][C]0.22[/C][C]2.08332871652563[/C][C]0.0136158550673534[/C][/ROW]
[ROW][C]0.23[/C][C]2.0864325912197[/C][C]0.0137688266791819[/C][/ROW]
[ROW][C]0.24[/C][C]2.08954810617001[/C][C]0.0143232625972359[/C][/ROW]
[ROW][C]0.25[/C][C]2.09276199337916[/C][C]0.0153592522341502[/C][/ROW]
[ROW][C]0.26[/C][C]2.09617127478674[/C][C]0.0169366910614204[/C][/ROW]
[ROW][C]0.27[/C][C]2.09987888082728[/C][C]0.0190930834266695[/C][/ROW]
[ROW][C]0.28[/C][C]2.10398750158731[/C][C]0.0218119079348705[/C][/ROW]
[ROW][C]0.29[/C][C]2.10859155115633[/C][C]0.0250201624333319[/C][/ROW]
[ROW][C]0.3[/C][C]2.1137676735626[/C][C]0.0285973744907151[/C][/ROW]
[ROW][C]0.31[/C][C]2.11956482676968[/C][C]0.0323448965260174[/C][/ROW]
[ROW][C]0.32[/C][C]2.12599546578089[/C][C]0.0360402874554955[/C][/ROW]
[ROW][C]0.33[/C][C]2.13302953561549[/C][C]0.0394223715333579[/C][/ROW]
[ROW][C]0.34[/C][C]2.1405927774262[/C][C]0.0422454186425212[/C][/ROW]
[ROW][C]0.35[/C][C]2.14857025076693[/C][C]0.0442954369328784[/C][/ROW]
[ROW][C]0.36[/C][C]2.1568150987924[/C][C]0.0454179659006151[/C][/ROW]
[ROW][C]0.37[/C][C]2.16516163023239[/C][C]0.0455532654477256[/C][/ROW]
[ROW][C]0.38[/C][C]2.17344098763226[/C][C]0.0447263715997777[/C][/ROW]
[ROW][C]0.39[/C][C]2.18149720245623[/C][C]0.043059065719062[/C][/ROW]
[ROW][C]0.4[/C][C]2.18920140141623[/C][C]0.0407355865005307[/C][/ROW]
[ROW][C]0.41[/C][C]2.19646231062316[/C][C]0.0380003472100685[/C][/ROW]
[ROW][C]0.42[/C][C]2.20323189219574[/C][C]0.0351091722469616[/C][/ROW]
[ROW][C]0.43[/C][C]2.20950577106481[/C][C]0.0323153718076876[/C][/ROW]
[ROW][C]0.44[/C][C]2.21531889090916[/C][C]0.0298406109156176[/C][/ROW]
[ROW][C]0.45[/C][C]2.22073743963853[/C][C]0.0278528068897502[/C][/ROW]
[ROW][C]0.46[/C][C]2.2258484337736[/C][C]0.0264512034663944[/C][/ROW]
[ROW][C]0.47[/C][C]2.2307484417829[/C][C]0.0256613492168018[/C][/ROW]
[ROW][C]0.48[/C][C]2.2355328035804[/C][C]0.0254315436230467[/C][/ROW]
[ROW][C]0.49[/C][C]2.24028643631877[/C][C]0.0256616384941194[/C][/ROW]
[ROW][C]0.5[/C][C]2.24507697554835[/C][C]0.0262076108567815[/C][/ROW]
[ROW][C]0.51[/C][C]2.24995064191912[/C][C]0.0269212121914319[/C][/ROW]
[ROW][C]0.52[/C][C]2.25493088482302[/C][C]0.0276611883500227[/C][/ROW]
[ROW][C]0.53[/C][C]2.26001955920364[/C][C]0.0283011694164246[/C][/ROW]
[ROW][C]0.54[/C][C]2.26520015598285[/C][C]0.0287587997210309[/C][/ROW]
[ROW][C]0.55[/C][C]2.27044244330086[/C][C]0.0289761004727761[/C][/ROW]
[ROW][C]0.56[/C][C]2.27570779646906[/C][C]0.0289247850083688[/C][/ROW]
[ROW][C]0.57[/C][C]2.28095450598889[/C][C]0.0286152078209678[/C][/ROW]
[ROW][C]0.58[/C][C]2.28614245269288[/C][C]0.0280693489769898[/C][/ROW]
[ROW][C]0.59[/C][C]2.29123671165052[/C][C]0.0273375704605013[/C][/ROW]
[ROW][C]0.6[/C][C]2.2962098634383[/C][C]0.0264760849093136[/C][/ROW]
[ROW][C]0.61[/C][C]2.30104301486002[/C][C]0.0255333238583298[/C][/ROW]
[ROW][C]0.62[/C][C]2.30572572125865[/C][C]0.0245574038485807[/C][/ROW]
[ROW][C]0.63[/C][C]2.31025512587103[/C][C]0.023590917005277[/C][/ROW]
[ROW][C]0.64[/C][C]2.31463466959417[/C][C]0.0226579848336219[/C][/ROW]
[ROW][C]0.65[/C][C]2.31887267820946[/C][C]0.0217795800524334[/C][/ROW]
[ROW][C]0.66[/C][C]2.32298102522248[/C][C]0.0209683059124647[/C][/ROW]
[ROW][C]0.67[/C][C]2.32697393491565[/C][C]0.0202327076356566[/C][/ROW]
[ROW][C]0.68[/C][C]2.33086687712749[/C][C]0.0195786707277802[/C][/ROW]
[ROW][C]0.69[/C][C]2.33467545296947[/C][C]0.0190069509879337[/C][/ROW]
[ROW][C]0.7[/C][C]2.33841420200348[/C][C]0.0185104828625476[/C][/ROW]
[ROW][C]0.71[/C][C]2.34209537209593[/C][C]0.0180775382386444[/C][/ROW]
[ROW][C]0.72[/C][C]2.34572784900943[/C][C]0.0176837434096659[/C][/ROW]
[ROW][C]0.73[/C][C]2.34931658580397[/C][C]0.0173070730718662[/C][/ROW]
[ROW][C]0.74[/C][C]2.35286293581194[/C][C]0.0169178106594464[/C][/ROW]
[ROW][C]0.75[/C][C]2.35636622306262[/C][C]0.0164983785937504[/C][/ROW]
[ROW][C]0.76[/C][C]2.35982665841222[/C][C]0.0160457582496435[/C][/ROW]
[ROW][C]0.77[/C][C]2.36324935052893[/C][C]0.0155821457394519[/C][/ROW]
[ROW][C]0.78[/C][C]2.36664873530381[/C][C]0.0151539394986236[/C][/ROW]
[ROW][C]0.79[/C][C]2.37005235554248[/C][C]0.0148320092823762[/C][/ROW]
[ROW][C]0.8[/C][C]2.37350267925716[/C][C]0.0146958469731664[/C][/ROW]
[ROW][C]0.81[/C][C]2.37705565578503[/C][C]0.014818458598325[/C][/ROW]
[ROW][C]0.82[/C][C]2.38077505137149[/C][C]0.0152333201923501[/C][/ROW]
[ROW][C]0.83[/C][C]2.38472230882203[/C][C]0.0159138413105725[/C][/ROW]
[ROW][C]0.84[/C][C]2.3889427047289[/C][C]0.0167629583450641[/C][/ROW]
[ROW][C]0.85[/C][C]2.39344982314002[/C][C]0.0176137139707266[/C][/ROW]
[ROW][C]0.86[/C][C]2.39821163404666[/C][C]0.0182571811666236[/C][/ROW]
[ROW][C]0.87[/C][C]2.40314247048391[/C][C]0.0184734460064981[/C][/ROW]
[ROW][C]0.88[/C][C]2.40810552511072[/C][C]0.0180807277861436[/C][/ROW]
[ROW][C]0.89[/C][C]2.41292955870153[/C][C]0.0169784438202[/C][/ROW]
[ROW][C]0.9[/C][C]2.4174406299209[/C][C]0.0151997562810038[/C][/ROW]
[ROW][C]0.91[/C][C]2.42150433203013[/C][C]0.0129323167549607[/C][/ROW]
[ROW][C]0.92[/C][C]2.42506693063442[/C][C]0.0105076694729028[/C][/ROW]
[ROW][C]0.93[/C][C]2.42817837249657[/C][C]0.00834582145292813[/C][/ROW]
[ROW][C]0.94[/C][C]2.43098348998143[/C][C]0.00682686145118856[/C][/ROW]
[ROW][C]0.95[/C][C]2.43368639394295[/C][C]0.00605534632071532[/C][/ROW]
[ROW][C]0.96[/C][C]2.43651713419708[/C][C]0.00573004009621335[/C][/ROW]
[ROW][C]0.97[/C][C]2.43971205129149[/C][C]0.00561637864757422[/C][/ROW]
[ROW][C]0.98[/C][C]2.44340625098599[/C][C]0.00620277966634966[/C][/ROW]
[ROW][C]0.99[/C][C]2.44725109177802[/C][C]0.00798403294382717[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128278&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128278&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
0.012.020086776834220.000331353497738611
0.022.020416105629050.00122165965842158
0.032.021162643644050.00261094393843453
0.042.022431600503240.00417119049839999
0.052.024219768655280.00558790935553534
0.062.026445550213190.00676994770960066
0.072.029012260676690.00785462615660655
0.082.031855808772860.00902152936698615
0.092.034954237614750.0103440402063694
0.12.038308020034690.0117536600077391
0.112.041913017518750.0131119660488902
0.122.045742724926990.01428957808759
0.132.049744709415670.0151863549671419
0.142.053847693104490.0157552035084368
0.152.057973161355320.0159940077435974
0.162.062046704291380.0159348509212758
0.172.066006706678420.0156380657348996
0.182.069809854213330.0151825263172648
0.192.073433864582490.0146557959115609
0.22.076878150442060.0141566080580284
0.212.080163120975790.0137777112220073
0.222.083328716525630.0136158550673534
0.232.08643259121970.0137688266791819
0.242.089548106170010.0143232625972359
0.252.092761993379160.0153592522341502
0.262.096171274786740.0169366910614204
0.272.099878880827280.0190930834266695
0.282.103987501587310.0218119079348705
0.292.108591551156330.0250201624333319
0.32.11376767356260.0285973744907151
0.312.119564826769680.0323448965260174
0.322.125995465780890.0360402874554955
0.332.133029535615490.0394223715333579
0.342.14059277742620.0422454186425212
0.352.148570250766930.0442954369328784
0.362.15681509879240.0454179659006151
0.372.165161630232390.0455532654477256
0.382.173440987632260.0447263715997777
0.392.181497202456230.043059065719062
0.42.189201401416230.0407355865005307
0.412.196462310623160.0380003472100685
0.422.203231892195740.0351091722469616
0.432.209505771064810.0323153718076876
0.442.215318890909160.0298406109156176
0.452.220737439638530.0278528068897502
0.462.22584843377360.0264512034663944
0.472.23074844178290.0256613492168018
0.482.23553280358040.0254315436230467
0.492.240286436318770.0256616384941194
0.52.245076975548350.0262076108567815
0.512.249950641919120.0269212121914319
0.522.254930884823020.0276611883500227
0.532.260019559203640.0283011694164246
0.542.265200155982850.0287587997210309
0.552.270442443300860.0289761004727761
0.562.275707796469060.0289247850083688
0.572.280954505988890.0286152078209678
0.582.286142452692880.0280693489769898
0.592.291236711650520.0273375704605013
0.62.29620986343830.0264760849093136
0.612.301043014860020.0255333238583298
0.622.305725721258650.0245574038485807
0.632.310255125871030.023590917005277
0.642.314634669594170.0226579848336219
0.652.318872678209460.0217795800524334
0.662.322981025222480.0209683059124647
0.672.326973934915650.0202327076356566
0.682.330866877127490.0195786707277802
0.692.334675452969470.0190069509879337
0.72.338414202003480.0185104828625476
0.712.342095372095930.0180775382386444
0.722.345727849009430.0176837434096659
0.732.349316585803970.0173070730718662
0.742.352862935811940.0169178106594464
0.752.356366223062620.0164983785937504
0.762.359826658412220.0160457582496435
0.772.363249350528930.0155821457394519
0.782.366648735303810.0151539394986236
0.792.370052355542480.0148320092823762
0.82.373502679257160.0146958469731664
0.812.377055655785030.014818458598325
0.822.380775051371490.0152333201923501
0.832.384722308822030.0159138413105725
0.842.38894270472890.0167629583450641
0.852.393449823140020.0176137139707266
0.862.398211634046660.0182571811666236
0.872.403142470483910.0184734460064981
0.882.408105525110720.0180807277861436
0.892.412929558701530.0169784438202
0.92.41744062992090.0151997562810038
0.912.421504332030130.0129323167549607
0.922.425066930634420.0105076694729028
0.932.428178372496570.00834582145292813
0.942.430983489981430.00682686145118856
0.952.433686393942950.00605534632071532
0.962.436517134197080.00573004009621335
0.972.439712051291490.00561637864757422
0.982.443406250985990.00620277966634966
0.992.447251091778020.00798403294382717


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')