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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, 26 Feb 2013 13:56:21 -0500
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/Feb/26/t13619051686le6fmdss1jjv33.htm/, Retrieved Sun, 05 May 2024 02:47:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=207093, Retrieved Sun, 05 May 2024 02:47:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact64

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] [procentielen maal...] [2013-02-26 18:56:21] [1f4ca98ed28755372cdf3133ccb2c2d2] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9.11	
9.06	
9.11	
9.13	
9.13	
9.19	
9.2	
9.23	
9.24	
9.28	
9.32	
9.32	
9.32	
9.36	
9.37	
9.38	
9.41	
9.44	
9.44	
9.44	
9.47	
9.48	
9.56	
9.58	
9.56	
9.58	
9.7	
9.74	
9.76	
9.78	
9.84	
9.88	
9.96	
9.97	
9.96	
9.96	
9.96	
10.02	
10.08	
10.09	
10.12	
10.14	
10.17	
10.22	
10.25	
10.25	
10.26	
10.34	
10.33	
10.3	
10.33	
10.33	
10.37	
10.44	
10.45	
10.45	
10.44	
10.43	
10.4	
10.43	
10.47	
10.52	
10.55	
10.5	
10.44	
10.47	
10.5	
10.54	
10.55	
10.53	
10.54	
10.54

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=207093&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=207093&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207093&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
0.019.073139919020020.0386122484926749
0.029.090822357616230.0272393725191739
0.039.107183929955440.023256562826828
0.049.121475927659860.0272291281712574
0.059.135282713955340.0344910899450126
0.069.149937118168950.0418204054181883
0.079.165844883789770.0478105383080066
0.089.182774604147720.0520798999229003
0.099.200266100566770.0548481720333562
0.19.217878996422580.056526288455099
0.119.235284435048310.0574315399282098
0.129.25226812131480.0577210377154701
0.139.268703378035860.057489990674598
0.149.28452710250010.0568914790287014
0.159.299727750060380.0561278198725067
0.169.314340435390490.0554743703263891
0.179.328441272050550.0551208060022089
0.189.342137136742720.0552080527698006
0.199.355552405306320.0557694519112112
0.29.36881698535160.0567952459566434
0.219.382059350132910.0582718613286413
0.229.395405614518660.0602187664448381
0.239.408982926508650.062708879605867
0.249.422923926018920.0658478260085213
0.259.437369104073420.0697296576922652
0.269.452465147547720.0744050006346246
0.279.468359007972540.0798775229313226
0.289.485188797170380.086053915290982
0.299.503073310526170.0927870699770925
0.39.522101984445650.0998887397824056
0.319.542326631450620.10714845287144
0.329.563755677989950.114311313767303
0.339.586351117031940.121135359380994
0.349.61002810715510.127382567952993
0.359.634657090430950.132784825023517
0.369.660068361624320.137149709146144
0.379.686059079073460.140294826238005
0.389.712402674319380.142117445471292
0.399.738860460114930.14255435328005
0.49.765194971466270.141643320924255
0.419.791184249318110.139502743763931
0.429.816635953884540.136305781563863
0.439.841399944796470.132316604296534
0.449.865377862663270.12786036298188
0.459.888528360119750.123256190354622
0.469.910867002421820.11885661674893
0.479.93246047837230.114974431948196
0.489.953415552093550.111827068400382
0.499.973863999865650.109531253547589
0.59.993945435526430.108084159930542
0.5110.01379027244960.107345295206454
0.5210.03350500970880.107130873587645
0.5310.05316157650220.107159148174929
0.5410.07279173415830.107188846161167
0.5510.09238669582750.106967419478928
0.5610.11190136701330.106309783357273
0.5710.13126207820670.105104786702393
0.5810.1503764385360.103268153758584
0.5910.16914396698340.100812184875859
0.610.18746637228080.0977709277871368
0.6110.20525664332880.0942612062504317
0.6210.22244637792280.0903749603989564
0.6310.23899095622460.0862837023868396
0.6410.25487224710780.0821303482426146
0.6510.27009856273610.0780885947514013
0.6610.28470162942890.0742778005221018
0.6710.29873051131040.0707888835553964
0.6810.3122427720810.0676964576197971
0.6910.32529369106520.0649646530252152
0.710.33792497524770.0625000394570566
0.7110.35015495435840.0601796994969723
0.7210.36197248727140.0577868983052354
0.7310.37333654546160.0551438291365477
0.7410.38418258524830.0521152921129283
0.7510.39443546616110.0486473442125406
0.7610.40402710010950.0447727448280679
0.7710.41291563721030.0406587722483229
0.7810.42110222882390.036550382510246
0.7910.4286415409280.032736274988009
0.810.43564326227880.0295294814215639
0.8110.44226363069170.0271720916250097
0.8210.44868804781820.0257889405207152
0.8310.45510765070430.0253510520298009
0.8410.46169380904290.0256674809000481
0.8510.468574660160.0264307104583478
0.8610.47581698137120.0273061895064847
0.8710.48341523534310.0279697318374167
0.8810.49128811997420.0281522657668419
0.8910.49928224291950.0276402429835792
0.910.50718336685980.0262991947551891
0.9110.5147380212970.0240733551297359
0.9210.52169039308230.0210301932441049
0.9310.52783707577870.0173959845218732
0.9410.53308998817380.0135821778129828
0.9510.53751458319910.0101773928716083
0.9610.54129122054320.00776335561532068
0.9710.54457029554090.00633617054201817
0.9810.54729207424050.0048668045754664
0.9910.54917088484350.00244794603995452

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 9.07313991902002 & 0.0386122484926749 \tabularnewline
0.02 & 9.09082235761623 & 0.0272393725191739 \tabularnewline
0.03 & 9.10718392995544 & 0.023256562826828 \tabularnewline
0.04 & 9.12147592765986 & 0.0272291281712574 \tabularnewline
0.05 & 9.13528271395534 & 0.0344910899450126 \tabularnewline
0.06 & 9.14993711816895 & 0.0418204054181883 \tabularnewline
0.07 & 9.16584488378977 & 0.0478105383080066 \tabularnewline
0.08 & 9.18277460414772 & 0.0520798999229003 \tabularnewline
0.09 & 9.20026610056677 & 0.0548481720333562 \tabularnewline
0.1 & 9.21787899642258 & 0.056526288455099 \tabularnewline
0.11 & 9.23528443504831 & 0.0574315399282098 \tabularnewline
0.12 & 9.2522681213148 & 0.0577210377154701 \tabularnewline
0.13 & 9.26870337803586 & 0.057489990674598 \tabularnewline
0.14 & 9.2845271025001 & 0.0568914790287014 \tabularnewline
0.15 & 9.29972775006038 & 0.0561278198725067 \tabularnewline
0.16 & 9.31434043539049 & 0.0554743703263891 \tabularnewline
0.17 & 9.32844127205055 & 0.0551208060022089 \tabularnewline
0.18 & 9.34213713674272 & 0.0552080527698006 \tabularnewline
0.19 & 9.35555240530632 & 0.0557694519112112 \tabularnewline
0.2 & 9.3688169853516 & 0.0567952459566434 \tabularnewline
0.21 & 9.38205935013291 & 0.0582718613286413 \tabularnewline
0.22 & 9.39540561451866 & 0.0602187664448381 \tabularnewline
0.23 & 9.40898292650865 & 0.062708879605867 \tabularnewline
0.24 & 9.42292392601892 & 0.0658478260085213 \tabularnewline
0.25 & 9.43736910407342 & 0.0697296576922652 \tabularnewline
0.26 & 9.45246514754772 & 0.0744050006346246 \tabularnewline
0.27 & 9.46835900797254 & 0.0798775229313226 \tabularnewline
0.28 & 9.48518879717038 & 0.086053915290982 \tabularnewline
0.29 & 9.50307331052617 & 0.0927870699770925 \tabularnewline
0.3 & 9.52210198444565 & 0.0998887397824056 \tabularnewline
0.31 & 9.54232663145062 & 0.10714845287144 \tabularnewline
0.32 & 9.56375567798995 & 0.114311313767303 \tabularnewline
0.33 & 9.58635111703194 & 0.121135359380994 \tabularnewline
0.34 & 9.6100281071551 & 0.127382567952993 \tabularnewline
0.35 & 9.63465709043095 & 0.132784825023517 \tabularnewline
0.36 & 9.66006836162432 & 0.137149709146144 \tabularnewline
0.37 & 9.68605907907346 & 0.140294826238005 \tabularnewline
0.38 & 9.71240267431938 & 0.142117445471292 \tabularnewline
0.39 & 9.73886046011493 & 0.14255435328005 \tabularnewline
0.4 & 9.76519497146627 & 0.141643320924255 \tabularnewline
0.41 & 9.79118424931811 & 0.139502743763931 \tabularnewline
0.42 & 9.81663595388454 & 0.136305781563863 \tabularnewline
0.43 & 9.84139994479647 & 0.132316604296534 \tabularnewline
0.44 & 9.86537786266327 & 0.12786036298188 \tabularnewline
0.45 & 9.88852836011975 & 0.123256190354622 \tabularnewline
0.46 & 9.91086700242182 & 0.11885661674893 \tabularnewline
0.47 & 9.9324604783723 & 0.114974431948196 \tabularnewline
0.48 & 9.95341555209355 & 0.111827068400382 \tabularnewline
0.49 & 9.97386399986565 & 0.109531253547589 \tabularnewline
0.5 & 9.99394543552643 & 0.108084159930542 \tabularnewline
0.51 & 10.0137902724496 & 0.107345295206454 \tabularnewline
0.52 & 10.0335050097088 & 0.107130873587645 \tabularnewline
0.53 & 10.0531615765022 & 0.107159148174929 \tabularnewline
0.54 & 10.0727917341583 & 0.107188846161167 \tabularnewline
0.55 & 10.0923866958275 & 0.106967419478928 \tabularnewline
0.56 & 10.1119013670133 & 0.106309783357273 \tabularnewline
0.57 & 10.1312620782067 & 0.105104786702393 \tabularnewline
0.58 & 10.150376438536 & 0.103268153758584 \tabularnewline
0.59 & 10.1691439669834 & 0.100812184875859 \tabularnewline
0.6 & 10.1874663722808 & 0.0977709277871368 \tabularnewline
0.61 & 10.2052566433288 & 0.0942612062504317 \tabularnewline
0.62 & 10.2224463779228 & 0.0903749603989564 \tabularnewline
0.63 & 10.2389909562246 & 0.0862837023868396 \tabularnewline
0.64 & 10.2548722471078 & 0.0821303482426146 \tabularnewline
0.65 & 10.2700985627361 & 0.0780885947514013 \tabularnewline
0.66 & 10.2847016294289 & 0.0742778005221018 \tabularnewline
0.67 & 10.2987305113104 & 0.0707888835553964 \tabularnewline
0.68 & 10.312242772081 & 0.0676964576197971 \tabularnewline
0.69 & 10.3252936910652 & 0.0649646530252152 \tabularnewline
0.7 & 10.3379249752477 & 0.0625000394570566 \tabularnewline
0.71 & 10.3501549543584 & 0.0601796994969723 \tabularnewline
0.72 & 10.3619724872714 & 0.0577868983052354 \tabularnewline
0.73 & 10.3733365454616 & 0.0551438291365477 \tabularnewline
0.74 & 10.3841825852483 & 0.0521152921129283 \tabularnewline
0.75 & 10.3944354661611 & 0.0486473442125406 \tabularnewline
0.76 & 10.4040271001095 & 0.0447727448280679 \tabularnewline
0.77 & 10.4129156372103 & 0.0406587722483229 \tabularnewline
0.78 & 10.4211022288239 & 0.036550382510246 \tabularnewline
0.79 & 10.428641540928 & 0.032736274988009 \tabularnewline
0.8 & 10.4356432622788 & 0.0295294814215639 \tabularnewline
0.81 & 10.4422636306917 & 0.0271720916250097 \tabularnewline
0.82 & 10.4486880478182 & 0.0257889405207152 \tabularnewline
0.83 & 10.4551076507043 & 0.0253510520298009 \tabularnewline
0.84 & 10.4616938090429 & 0.0256674809000481 \tabularnewline
0.85 & 10.46857466016 & 0.0264307104583478 \tabularnewline
0.86 & 10.4758169813712 & 0.0273061895064847 \tabularnewline
0.87 & 10.4834152353431 & 0.0279697318374167 \tabularnewline
0.88 & 10.4912881199742 & 0.0281522657668419 \tabularnewline
0.89 & 10.4992822429195 & 0.0276402429835792 \tabularnewline
0.9 & 10.5071833668598 & 0.0262991947551891 \tabularnewline
0.91 & 10.514738021297 & 0.0240733551297359 \tabularnewline
0.92 & 10.5216903930823 & 0.0210301932441049 \tabularnewline
0.93 & 10.5278370757787 & 0.0173959845218732 \tabularnewline
0.94 & 10.5330899881738 & 0.0135821778129828 \tabularnewline
0.95 & 10.5375145831991 & 0.0101773928716083 \tabularnewline
0.96 & 10.5412912205432 & 0.00776335561532068 \tabularnewline
0.97 & 10.5445702955409 & 0.00633617054201817 \tabularnewline
0.98 & 10.5472920742405 & 0.0048668045754664 \tabularnewline
0.99 & 10.5491708848435 & 0.00244794603995452 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207093&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]9.07313991902002[/C][C]0.0386122484926749[/C][/ROW]
[ROW][C]0.02[/C][C]9.09082235761623[/C][C]0.0272393725191739[/C][/ROW]
[ROW][C]0.03[/C][C]9.10718392995544[/C][C]0.023256562826828[/C][/ROW]
[ROW][C]0.04[/C][C]9.12147592765986[/C][C]0.0272291281712574[/C][/ROW]
[ROW][C]0.05[/C][C]9.13528271395534[/C][C]0.0344910899450126[/C][/ROW]
[ROW][C]0.06[/C][C]9.14993711816895[/C][C]0.0418204054181883[/C][/ROW]
[ROW][C]0.07[/C][C]9.16584488378977[/C][C]0.0478105383080066[/C][/ROW]
[ROW][C]0.08[/C][C]9.18277460414772[/C][C]0.0520798999229003[/C][/ROW]
[ROW][C]0.09[/C][C]9.20026610056677[/C][C]0.0548481720333562[/C][/ROW]
[ROW][C]0.1[/C][C]9.21787899642258[/C][C]0.056526288455099[/C][/ROW]
[ROW][C]0.11[/C][C]9.23528443504831[/C][C]0.0574315399282098[/C][/ROW]
[ROW][C]0.12[/C][C]9.2522681213148[/C][C]0.0577210377154701[/C][/ROW]
[ROW][C]0.13[/C][C]9.26870337803586[/C][C]0.057489990674598[/C][/ROW]
[ROW][C]0.14[/C][C]9.2845271025001[/C][C]0.0568914790287014[/C][/ROW]
[ROW][C]0.15[/C][C]9.29972775006038[/C][C]0.0561278198725067[/C][/ROW]
[ROW][C]0.16[/C][C]9.31434043539049[/C][C]0.0554743703263891[/C][/ROW]
[ROW][C]0.17[/C][C]9.32844127205055[/C][C]0.0551208060022089[/C][/ROW]
[ROW][C]0.18[/C][C]9.34213713674272[/C][C]0.0552080527698006[/C][/ROW]
[ROW][C]0.19[/C][C]9.35555240530632[/C][C]0.0557694519112112[/C][/ROW]
[ROW][C]0.2[/C][C]9.3688169853516[/C][C]0.0567952459566434[/C][/ROW]
[ROW][C]0.21[/C][C]9.38205935013291[/C][C]0.0582718613286413[/C][/ROW]
[ROW][C]0.22[/C][C]9.39540561451866[/C][C]0.0602187664448381[/C][/ROW]
[ROW][C]0.23[/C][C]9.40898292650865[/C][C]0.062708879605867[/C][/ROW]
[ROW][C]0.24[/C][C]9.42292392601892[/C][C]0.0658478260085213[/C][/ROW]
[ROW][C]0.25[/C][C]9.43736910407342[/C][C]0.0697296576922652[/C][/ROW]
[ROW][C]0.26[/C][C]9.45246514754772[/C][C]0.0744050006346246[/C][/ROW]
[ROW][C]0.27[/C][C]9.46835900797254[/C][C]0.0798775229313226[/C][/ROW]
[ROW][C]0.28[/C][C]9.48518879717038[/C][C]0.086053915290982[/C][/ROW]
[ROW][C]0.29[/C][C]9.50307331052617[/C][C]0.0927870699770925[/C][/ROW]
[ROW][C]0.3[/C][C]9.52210198444565[/C][C]0.0998887397824056[/C][/ROW]
[ROW][C]0.31[/C][C]9.54232663145062[/C][C]0.10714845287144[/C][/ROW]
[ROW][C]0.32[/C][C]9.56375567798995[/C][C]0.114311313767303[/C][/ROW]
[ROW][C]0.33[/C][C]9.58635111703194[/C][C]0.121135359380994[/C][/ROW]
[ROW][C]0.34[/C][C]9.6100281071551[/C][C]0.127382567952993[/C][/ROW]
[ROW][C]0.35[/C][C]9.63465709043095[/C][C]0.132784825023517[/C][/ROW]
[ROW][C]0.36[/C][C]9.66006836162432[/C][C]0.137149709146144[/C][/ROW]
[ROW][C]0.37[/C][C]9.68605907907346[/C][C]0.140294826238005[/C][/ROW]
[ROW][C]0.38[/C][C]9.71240267431938[/C][C]0.142117445471292[/C][/ROW]
[ROW][C]0.39[/C][C]9.73886046011493[/C][C]0.14255435328005[/C][/ROW]
[ROW][C]0.4[/C][C]9.76519497146627[/C][C]0.141643320924255[/C][/ROW]
[ROW][C]0.41[/C][C]9.79118424931811[/C][C]0.139502743763931[/C][/ROW]
[ROW][C]0.42[/C][C]9.81663595388454[/C][C]0.136305781563863[/C][/ROW]
[ROW][C]0.43[/C][C]9.84139994479647[/C][C]0.132316604296534[/C][/ROW]
[ROW][C]0.44[/C][C]9.86537786266327[/C][C]0.12786036298188[/C][/ROW]
[ROW][C]0.45[/C][C]9.88852836011975[/C][C]0.123256190354622[/C][/ROW]
[ROW][C]0.46[/C][C]9.91086700242182[/C][C]0.11885661674893[/C][/ROW]
[ROW][C]0.47[/C][C]9.9324604783723[/C][C]0.114974431948196[/C][/ROW]
[ROW][C]0.48[/C][C]9.95341555209355[/C][C]0.111827068400382[/C][/ROW]
[ROW][C]0.49[/C][C]9.97386399986565[/C][C]0.109531253547589[/C][/ROW]
[ROW][C]0.5[/C][C]9.99394543552643[/C][C]0.108084159930542[/C][/ROW]
[ROW][C]0.51[/C][C]10.0137902724496[/C][C]0.107345295206454[/C][/ROW]
[ROW][C]0.52[/C][C]10.0335050097088[/C][C]0.107130873587645[/C][/ROW]
[ROW][C]0.53[/C][C]10.0531615765022[/C][C]0.107159148174929[/C][/ROW]
[ROW][C]0.54[/C][C]10.0727917341583[/C][C]0.107188846161167[/C][/ROW]
[ROW][C]0.55[/C][C]10.0923866958275[/C][C]0.106967419478928[/C][/ROW]
[ROW][C]0.56[/C][C]10.1119013670133[/C][C]0.106309783357273[/C][/ROW]
[ROW][C]0.57[/C][C]10.1312620782067[/C][C]0.105104786702393[/C][/ROW]
[ROW][C]0.58[/C][C]10.150376438536[/C][C]0.103268153758584[/C][/ROW]
[ROW][C]0.59[/C][C]10.1691439669834[/C][C]0.100812184875859[/C][/ROW]
[ROW][C]0.6[/C][C]10.1874663722808[/C][C]0.0977709277871368[/C][/ROW]
[ROW][C]0.61[/C][C]10.2052566433288[/C][C]0.0942612062504317[/C][/ROW]
[ROW][C]0.62[/C][C]10.2224463779228[/C][C]0.0903749603989564[/C][/ROW]
[ROW][C]0.63[/C][C]10.2389909562246[/C][C]0.0862837023868396[/C][/ROW]
[ROW][C]0.64[/C][C]10.2548722471078[/C][C]0.0821303482426146[/C][/ROW]
[ROW][C]0.65[/C][C]10.2700985627361[/C][C]0.0780885947514013[/C][/ROW]
[ROW][C]0.66[/C][C]10.2847016294289[/C][C]0.0742778005221018[/C][/ROW]
[ROW][C]0.67[/C][C]10.2987305113104[/C][C]0.0707888835553964[/C][/ROW]
[ROW][C]0.68[/C][C]10.312242772081[/C][C]0.0676964576197971[/C][/ROW]
[ROW][C]0.69[/C][C]10.3252936910652[/C][C]0.0649646530252152[/C][/ROW]
[ROW][C]0.7[/C][C]10.3379249752477[/C][C]0.0625000394570566[/C][/ROW]
[ROW][C]0.71[/C][C]10.3501549543584[/C][C]0.0601796994969723[/C][/ROW]
[ROW][C]0.72[/C][C]10.3619724872714[/C][C]0.0577868983052354[/C][/ROW]
[ROW][C]0.73[/C][C]10.3733365454616[/C][C]0.0551438291365477[/C][/ROW]
[ROW][C]0.74[/C][C]10.3841825852483[/C][C]0.0521152921129283[/C][/ROW]
[ROW][C]0.75[/C][C]10.3944354661611[/C][C]0.0486473442125406[/C][/ROW]
[ROW][C]0.76[/C][C]10.4040271001095[/C][C]0.0447727448280679[/C][/ROW]
[ROW][C]0.77[/C][C]10.4129156372103[/C][C]0.0406587722483229[/C][/ROW]
[ROW][C]0.78[/C][C]10.4211022288239[/C][C]0.036550382510246[/C][/ROW]
[ROW][C]0.79[/C][C]10.428641540928[/C][C]0.032736274988009[/C][/ROW]
[ROW][C]0.8[/C][C]10.4356432622788[/C][C]0.0295294814215639[/C][/ROW]
[ROW][C]0.81[/C][C]10.4422636306917[/C][C]0.0271720916250097[/C][/ROW]
[ROW][C]0.82[/C][C]10.4486880478182[/C][C]0.0257889405207152[/C][/ROW]
[ROW][C]0.83[/C][C]10.4551076507043[/C][C]0.0253510520298009[/C][/ROW]
[ROW][C]0.84[/C][C]10.4616938090429[/C][C]0.0256674809000481[/C][/ROW]
[ROW][C]0.85[/C][C]10.46857466016[/C][C]0.0264307104583478[/C][/ROW]
[ROW][C]0.86[/C][C]10.4758169813712[/C][C]0.0273061895064847[/C][/ROW]
[ROW][C]0.87[/C][C]10.4834152353431[/C][C]0.0279697318374167[/C][/ROW]
[ROW][C]0.88[/C][C]10.4912881199742[/C][C]0.0281522657668419[/C][/ROW]
[ROW][C]0.89[/C][C]10.4992822429195[/C][C]0.0276402429835792[/C][/ROW]
[ROW][C]0.9[/C][C]10.5071833668598[/C][C]0.0262991947551891[/C][/ROW]
[ROW][C]0.91[/C][C]10.514738021297[/C][C]0.0240733551297359[/C][/ROW]
[ROW][C]0.92[/C][C]10.5216903930823[/C][C]0.0210301932441049[/C][/ROW]
[ROW][C]0.93[/C][C]10.5278370757787[/C][C]0.0173959845218732[/C][/ROW]
[ROW][C]0.94[/C][C]10.5330899881738[/C][C]0.0135821778129828[/C][/ROW]
[ROW][C]0.95[/C][C]10.5375145831991[/C][C]0.0101773928716083[/C][/ROW]
[ROW][C]0.96[/C][C]10.5412912205432[/C][C]0.00776335561532068[/C][/ROW]
[ROW][C]0.97[/C][C]10.5445702955409[/C][C]0.00633617054201817[/C][/ROW]
[ROW][C]0.98[/C][C]10.5472920742405[/C][C]0.0048668045754664[/C][/ROW]
[ROW][C]0.99[/C][C]10.5491708848435[/C][C]0.00244794603995452[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207093&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207093&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
0.019.073139919020020.0386122484926749
0.029.090822357616230.0272393725191739
0.039.107183929955440.023256562826828
0.049.121475927659860.0272291281712574
0.059.135282713955340.0344910899450126
0.069.149937118168950.0418204054181883
0.079.165844883789770.0478105383080066
0.089.182774604147720.0520798999229003
0.099.200266100566770.0548481720333562
0.19.217878996422580.056526288455099
0.119.235284435048310.0574315399282098
0.129.25226812131480.0577210377154701
0.139.268703378035860.057489990674598
0.149.28452710250010.0568914790287014
0.159.299727750060380.0561278198725067
0.169.314340435390490.0554743703263891
0.179.328441272050550.0551208060022089
0.189.342137136742720.0552080527698006
0.199.355552405306320.0557694519112112
0.29.36881698535160.0567952459566434
0.219.382059350132910.0582718613286413
0.229.395405614518660.0602187664448381
0.239.408982926508650.062708879605867
0.249.422923926018920.0658478260085213
0.259.437369104073420.0697296576922652
0.269.452465147547720.0744050006346246
0.279.468359007972540.0798775229313226
0.289.485188797170380.086053915290982
0.299.503073310526170.0927870699770925
0.39.522101984445650.0998887397824056
0.319.542326631450620.10714845287144
0.329.563755677989950.114311313767303
0.339.586351117031940.121135359380994
0.349.61002810715510.127382567952993
0.359.634657090430950.132784825023517
0.369.660068361624320.137149709146144
0.379.686059079073460.140294826238005
0.389.712402674319380.142117445471292
0.399.738860460114930.14255435328005
0.49.765194971466270.141643320924255
0.419.791184249318110.139502743763931
0.429.816635953884540.136305781563863
0.439.841399944796470.132316604296534
0.449.865377862663270.12786036298188
0.459.888528360119750.123256190354622
0.469.910867002421820.11885661674893
0.479.93246047837230.114974431948196
0.489.953415552093550.111827068400382
0.499.973863999865650.109531253547589
0.59.993945435526430.108084159930542
0.5110.01379027244960.107345295206454
0.5210.03350500970880.107130873587645
0.5310.05316157650220.107159148174929
0.5410.07279173415830.107188846161167
0.5510.09238669582750.106967419478928
0.5610.11190136701330.106309783357273
0.5710.13126207820670.105104786702393
0.5810.1503764385360.103268153758584
0.5910.16914396698340.100812184875859
0.610.18746637228080.0977709277871368
0.6110.20525664332880.0942612062504317
0.6210.22244637792280.0903749603989564
0.6310.23899095622460.0862837023868396
0.6410.25487224710780.0821303482426146
0.6510.27009856273610.0780885947514013
0.6610.28470162942890.0742778005221018
0.6710.29873051131040.0707888835553964
0.6810.3122427720810.0676964576197971
0.6910.32529369106520.0649646530252152
0.710.33792497524770.0625000394570566
0.7110.35015495435840.0601796994969723
0.7210.36197248727140.0577868983052354
0.7310.37333654546160.0551438291365477
0.7410.38418258524830.0521152921129283
0.7510.39443546616110.0486473442125406
0.7610.40402710010950.0447727448280679
0.7710.41291563721030.0406587722483229
0.7810.42110222882390.036550382510246
0.7910.4286415409280.032736274988009
0.810.43564326227880.0295294814215639
0.8110.44226363069170.0271720916250097
0.8210.44868804781820.0257889405207152
0.8310.45510765070430.0253510520298009
0.8410.46169380904290.0256674809000481
0.8510.468574660160.0264307104583478
0.8610.47581698137120.0273061895064847
0.8710.48341523534310.0279697318374167
0.8810.49128811997420.0281522657668419
0.8910.49928224291950.0276402429835792
0.910.50718336685980.0262991947551891
0.9110.5147380212970.0240733551297359
0.9210.52169039308230.0210301932441049
0.9310.52783707577870.0173959845218732
0.9410.53308998817380.0135821778129828
0.9510.53751458319910.0101773928716083
0.9610.54129122054320.00776335561532068
0.9710.54457029554090.00633617054201817
0.9810.54729207424050.0048668045754664
0.9910.54917088484350.00244794603995452


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')