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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, 10 Mar 2009 03:58:14 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/10/t1236679140rfny76yi5rany9z.htm/, Retrieved Sat, 20 Apr 2024 10:31:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38848, Retrieved Sat, 20 Apr 2024 10:31:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact140

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] [zelfstandigenperc...] [2009-03-10 09:58:14] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
672.1
674.4
676.6
678.7
680.8
682.9
684
684.1
684.1
684.2
685.9
689.2
692.4
695.7
697.2
696.8
696.4
695.9
696.2
697.2
705.2
706.2
707.4
708.7
710
711.3
711.5
710.7
710
709.2
707.9
706.1
704.4
702.7
701.5
700.8
700
699.3
698.8
698.4
696.8
695.1
694.3
693.4
692.4
691
689.7
688.3
686
683.6
682.6
681.9
681
679.9
678.5
677.5
678
679
679.8
681.3
684.2
687
688.4
689.5
691.1
693.3
695.9
698
699.6
701.6
703.5
705.5
708.1
709.6
710.3

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38848&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38848&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38848&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01672.9182823227272.16774650908508
0.02674.1399683545162.02707917957658
0.03675.3419293326371.80249916599773
0.04676.331814503621.51323100752548
0.05677.0925716452341.24855896033978
0.06677.6740510732741.06718155429835
0.07678.1354987659530.977380029898254
0.08678.5256620432380.959994880954574
0.09678.8788192658380.989408048068571
0.1679.2164359029221.04283240305052
0.11679.5503874969831.10491255053951
0.12679.8861353443911.16541777227029
0.13680.2252831597631.21944142256022
0.14680.5673831385011.26544546243191
0.15680.9110428557761.30452038094855
0.16681.2544896715711.33319414509416
0.17681.5958139958231.35321981502044
0.18681.9331155388781.36230455816088
0.19682.2647115360151.36090262588080
0.2682.5894599930321.35370968331350
0.21682.9071470480921.34493465412071
0.22683.2188218286961.34283612572655
0.23683.5269516804621.35671575287681
0.24683.8353112861061.39452269537896
0.25684.1485914160621.45913014528163
0.26684.4717905667751.55079397020565
0.27684.8095112716051.66420053565148
0.28685.1653066807861.79018461961436
0.29685.5412080577811.91896373678304
0.3685.9375173008042.04132507436374
0.31686.3528854145062.14824433157590
0.32686.7846356579142.23618869549328
0.33687.2292440724022.30116399228554
0.34687.6828692697852.34491245918107
0.35688.1418290991232.37009196637177
0.36688.6029486493142.38119636301745
0.37689.0637422481552.38171711952953
0.38689.5224309499852.37740929922669
0.39689.9778276803042.36766817899601
0.4690.4291397728912.35564322580372
0.41690.875742435722.34103551772554
0.42691.3169695443472.3211086054807
0.43691.75195477912.29607625642827
0.44692.1795412615952.26170324474255
0.45692.5982649577352.21768340118952
0.46693.0064077149732.16216340262935
0.47693.4021096701452.09511404944359
0.48693.7835267185832.01667322277285
0.49694.1490155780771.92796288191211
0.5694.4973262071031.83068377061743
0.51694.8277793499161.73069771282548
0.52695.1404068076291.63057014079893
0.53695.4360347256911.53480969306626
0.54695.716296216661.45065979854163
0.55695.9835685478041.38068493944897
0.56696.2408405643141.32810201047959
0.57696.4915261010441.29639037345797
0.58696.7392469451361.28531110573188
0.59696.9876129821651.29377289698125
0.6697.2400267592481.31986429286729
0.61697.4995349102721.35982512209888
0.62697.7687405091051.41057751372409
0.63698.0497797838441.46971816012719
0.64698.3443554104941.53398179466031
0.65698.6538086034831.60198959103531
0.66698.9792051341671.67257672274076
0.67699.3214076237021.74441764792393
0.68699.6811088423051.81758082074655
0.69700.058808493011.89121517337656
0.7700.4547284509031.96342207002221
0.71700.8686771373032.03296094227482
0.72701.2998900782942.09518505372282
0.73701.746887149782.14777827468304
0.74702.207393273342.18561248032298
0.75702.678364357752.20424579968609
0.76703.1561418796922.20202776068294
0.77703.6367292167852.17640506254952
0.78704.1161472798792.13073210246722
0.79704.5907971991622.06700579100587
0.8705.0577460747081.98946222802246
0.81705.5148661321931.90420705928712
0.82705.9607963837751.81480664628734
0.83706.3947458697341.72478906713214
0.84706.8161984643251.63489413215976
0.85707.2245943654381.54330959255635
0.86707.6190515303981.44943946049657
0.87707.9981704928611.35149482175988
0.88708.3599677643671.24745609763727
0.89708.7020223728961.13617509006883
0.9709.0219724665881.01778104229016
0.91709.3184901432370.895085581860265
0.92709.5926961081360.77448808016989
0.93709.8495958478930.669011155710769
0.94710.0985901417580.593263776469
0.95710.3516943339420.557186928907648
0.96710.618298373360.549444874129413
0.97710.8967365606050.53070335717504
0.98711.1657818949260.451821525318008
0.99711.3828369423150.30783449988324

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 672.918282322727 & 2.16774650908508 \tabularnewline
0.02 & 674.139968354516 & 2.02707917957658 \tabularnewline
0.03 & 675.341929332637 & 1.80249916599773 \tabularnewline
0.04 & 676.33181450362 & 1.51323100752548 \tabularnewline
0.05 & 677.092571645234 & 1.24855896033978 \tabularnewline
0.06 & 677.674051073274 & 1.06718155429835 \tabularnewline
0.07 & 678.135498765953 & 0.977380029898254 \tabularnewline
0.08 & 678.525662043238 & 0.959994880954574 \tabularnewline
0.09 & 678.878819265838 & 0.989408048068571 \tabularnewline
0.1 & 679.216435902922 & 1.04283240305052 \tabularnewline
0.11 & 679.550387496983 & 1.10491255053951 \tabularnewline
0.12 & 679.886135344391 & 1.16541777227029 \tabularnewline
0.13 & 680.225283159763 & 1.21944142256022 \tabularnewline
0.14 & 680.567383138501 & 1.26544546243191 \tabularnewline
0.15 & 680.911042855776 & 1.30452038094855 \tabularnewline
0.16 & 681.254489671571 & 1.33319414509416 \tabularnewline
0.17 & 681.595813995823 & 1.35321981502044 \tabularnewline
0.18 & 681.933115538878 & 1.36230455816088 \tabularnewline
0.19 & 682.264711536015 & 1.36090262588080 \tabularnewline
0.2 & 682.589459993032 & 1.35370968331350 \tabularnewline
0.21 & 682.907147048092 & 1.34493465412071 \tabularnewline
0.22 & 683.218821828696 & 1.34283612572655 \tabularnewline
0.23 & 683.526951680462 & 1.35671575287681 \tabularnewline
0.24 & 683.835311286106 & 1.39452269537896 \tabularnewline
0.25 & 684.148591416062 & 1.45913014528163 \tabularnewline
0.26 & 684.471790566775 & 1.55079397020565 \tabularnewline
0.27 & 684.809511271605 & 1.66420053565148 \tabularnewline
0.28 & 685.165306680786 & 1.79018461961436 \tabularnewline
0.29 & 685.541208057781 & 1.91896373678304 \tabularnewline
0.3 & 685.937517300804 & 2.04132507436374 \tabularnewline
0.31 & 686.352885414506 & 2.14824433157590 \tabularnewline
0.32 & 686.784635657914 & 2.23618869549328 \tabularnewline
0.33 & 687.229244072402 & 2.30116399228554 \tabularnewline
0.34 & 687.682869269785 & 2.34491245918107 \tabularnewline
0.35 & 688.141829099123 & 2.37009196637177 \tabularnewline
0.36 & 688.602948649314 & 2.38119636301745 \tabularnewline
0.37 & 689.063742248155 & 2.38171711952953 \tabularnewline
0.38 & 689.522430949985 & 2.37740929922669 \tabularnewline
0.39 & 689.977827680304 & 2.36766817899601 \tabularnewline
0.4 & 690.429139772891 & 2.35564322580372 \tabularnewline
0.41 & 690.87574243572 & 2.34103551772554 \tabularnewline
0.42 & 691.316969544347 & 2.3211086054807 \tabularnewline
0.43 & 691.7519547791 & 2.29607625642827 \tabularnewline
0.44 & 692.179541261595 & 2.26170324474255 \tabularnewline
0.45 & 692.598264957735 & 2.21768340118952 \tabularnewline
0.46 & 693.006407714973 & 2.16216340262935 \tabularnewline
0.47 & 693.402109670145 & 2.09511404944359 \tabularnewline
0.48 & 693.783526718583 & 2.01667322277285 \tabularnewline
0.49 & 694.149015578077 & 1.92796288191211 \tabularnewline
0.5 & 694.497326207103 & 1.83068377061743 \tabularnewline
0.51 & 694.827779349916 & 1.73069771282548 \tabularnewline
0.52 & 695.140406807629 & 1.63057014079893 \tabularnewline
0.53 & 695.436034725691 & 1.53480969306626 \tabularnewline
0.54 & 695.71629621666 & 1.45065979854163 \tabularnewline
0.55 & 695.983568547804 & 1.38068493944897 \tabularnewline
0.56 & 696.240840564314 & 1.32810201047959 \tabularnewline
0.57 & 696.491526101044 & 1.29639037345797 \tabularnewline
0.58 & 696.739246945136 & 1.28531110573188 \tabularnewline
0.59 & 696.987612982165 & 1.29377289698125 \tabularnewline
0.6 & 697.240026759248 & 1.31986429286729 \tabularnewline
0.61 & 697.499534910272 & 1.35982512209888 \tabularnewline
0.62 & 697.768740509105 & 1.41057751372409 \tabularnewline
0.63 & 698.049779783844 & 1.46971816012719 \tabularnewline
0.64 & 698.344355410494 & 1.53398179466031 \tabularnewline
0.65 & 698.653808603483 & 1.60198959103531 \tabularnewline
0.66 & 698.979205134167 & 1.67257672274076 \tabularnewline
0.67 & 699.321407623702 & 1.74441764792393 \tabularnewline
0.68 & 699.681108842305 & 1.81758082074655 \tabularnewline
0.69 & 700.05880849301 & 1.89121517337656 \tabularnewline
0.7 & 700.454728450903 & 1.96342207002221 \tabularnewline
0.71 & 700.868677137303 & 2.03296094227482 \tabularnewline
0.72 & 701.299890078294 & 2.09518505372282 \tabularnewline
0.73 & 701.74688714978 & 2.14777827468304 \tabularnewline
0.74 & 702.20739327334 & 2.18561248032298 \tabularnewline
0.75 & 702.67836435775 & 2.20424579968609 \tabularnewline
0.76 & 703.156141879692 & 2.20202776068294 \tabularnewline
0.77 & 703.636729216785 & 2.17640506254952 \tabularnewline
0.78 & 704.116147279879 & 2.13073210246722 \tabularnewline
0.79 & 704.590797199162 & 2.06700579100587 \tabularnewline
0.8 & 705.057746074708 & 1.98946222802246 \tabularnewline
0.81 & 705.514866132193 & 1.90420705928712 \tabularnewline
0.82 & 705.960796383775 & 1.81480664628734 \tabularnewline
0.83 & 706.394745869734 & 1.72478906713214 \tabularnewline
0.84 & 706.816198464325 & 1.63489413215976 \tabularnewline
0.85 & 707.224594365438 & 1.54330959255635 \tabularnewline
0.86 & 707.619051530398 & 1.44943946049657 \tabularnewline
0.87 & 707.998170492861 & 1.35149482175988 \tabularnewline
0.88 & 708.359967764367 & 1.24745609763727 \tabularnewline
0.89 & 708.702022372896 & 1.13617509006883 \tabularnewline
0.9 & 709.021972466588 & 1.01778104229016 \tabularnewline
0.91 & 709.318490143237 & 0.895085581860265 \tabularnewline
0.92 & 709.592696108136 & 0.77448808016989 \tabularnewline
0.93 & 709.849595847893 & 0.669011155710769 \tabularnewline
0.94 & 710.098590141758 & 0.593263776469 \tabularnewline
0.95 & 710.351694333942 & 0.557186928907648 \tabularnewline
0.96 & 710.61829837336 & 0.549444874129413 \tabularnewline
0.97 & 710.896736560605 & 0.53070335717504 \tabularnewline
0.98 & 711.165781894926 & 0.451821525318008 \tabularnewline
0.99 & 711.382836942315 & 0.30783449988324 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38848&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]672.918282322727[/C][C]2.16774650908508[/C][/ROW]
[ROW][C]0.02[/C][C]674.139968354516[/C][C]2.02707917957658[/C][/ROW]
[ROW][C]0.03[/C][C]675.341929332637[/C][C]1.80249916599773[/C][/ROW]
[ROW][C]0.04[/C][C]676.33181450362[/C][C]1.51323100752548[/C][/ROW]
[ROW][C]0.05[/C][C]677.092571645234[/C][C]1.24855896033978[/C][/ROW]
[ROW][C]0.06[/C][C]677.674051073274[/C][C]1.06718155429835[/C][/ROW]
[ROW][C]0.07[/C][C]678.135498765953[/C][C]0.977380029898254[/C][/ROW]
[ROW][C]0.08[/C][C]678.525662043238[/C][C]0.959994880954574[/C][/ROW]
[ROW][C]0.09[/C][C]678.878819265838[/C][C]0.989408048068571[/C][/ROW]
[ROW][C]0.1[/C][C]679.216435902922[/C][C]1.04283240305052[/C][/ROW]
[ROW][C]0.11[/C][C]679.550387496983[/C][C]1.10491255053951[/C][/ROW]
[ROW][C]0.12[/C][C]679.886135344391[/C][C]1.16541777227029[/C][/ROW]
[ROW][C]0.13[/C][C]680.225283159763[/C][C]1.21944142256022[/C][/ROW]
[ROW][C]0.14[/C][C]680.567383138501[/C][C]1.26544546243191[/C][/ROW]
[ROW][C]0.15[/C][C]680.911042855776[/C][C]1.30452038094855[/C][/ROW]
[ROW][C]0.16[/C][C]681.254489671571[/C][C]1.33319414509416[/C][/ROW]
[ROW][C]0.17[/C][C]681.595813995823[/C][C]1.35321981502044[/C][/ROW]
[ROW][C]0.18[/C][C]681.933115538878[/C][C]1.36230455816088[/C][/ROW]
[ROW][C]0.19[/C][C]682.264711536015[/C][C]1.36090262588080[/C][/ROW]
[ROW][C]0.2[/C][C]682.589459993032[/C][C]1.35370968331350[/C][/ROW]
[ROW][C]0.21[/C][C]682.907147048092[/C][C]1.34493465412071[/C][/ROW]
[ROW][C]0.22[/C][C]683.218821828696[/C][C]1.34283612572655[/C][/ROW]
[ROW][C]0.23[/C][C]683.526951680462[/C][C]1.35671575287681[/C][/ROW]
[ROW][C]0.24[/C][C]683.835311286106[/C][C]1.39452269537896[/C][/ROW]
[ROW][C]0.25[/C][C]684.148591416062[/C][C]1.45913014528163[/C][/ROW]
[ROW][C]0.26[/C][C]684.471790566775[/C][C]1.55079397020565[/C][/ROW]
[ROW][C]0.27[/C][C]684.809511271605[/C][C]1.66420053565148[/C][/ROW]
[ROW][C]0.28[/C][C]685.165306680786[/C][C]1.79018461961436[/C][/ROW]
[ROW][C]0.29[/C][C]685.541208057781[/C][C]1.91896373678304[/C][/ROW]
[ROW][C]0.3[/C][C]685.937517300804[/C][C]2.04132507436374[/C][/ROW]
[ROW][C]0.31[/C][C]686.352885414506[/C][C]2.14824433157590[/C][/ROW]
[ROW][C]0.32[/C][C]686.784635657914[/C][C]2.23618869549328[/C][/ROW]
[ROW][C]0.33[/C][C]687.229244072402[/C][C]2.30116399228554[/C][/ROW]
[ROW][C]0.34[/C][C]687.682869269785[/C][C]2.34491245918107[/C][/ROW]
[ROW][C]0.35[/C][C]688.141829099123[/C][C]2.37009196637177[/C][/ROW]
[ROW][C]0.36[/C][C]688.602948649314[/C][C]2.38119636301745[/C][/ROW]
[ROW][C]0.37[/C][C]689.063742248155[/C][C]2.38171711952953[/C][/ROW]
[ROW][C]0.38[/C][C]689.522430949985[/C][C]2.37740929922669[/C][/ROW]
[ROW][C]0.39[/C][C]689.977827680304[/C][C]2.36766817899601[/C][/ROW]
[ROW][C]0.4[/C][C]690.429139772891[/C][C]2.35564322580372[/C][/ROW]
[ROW][C]0.41[/C][C]690.87574243572[/C][C]2.34103551772554[/C][/ROW]
[ROW][C]0.42[/C][C]691.316969544347[/C][C]2.3211086054807[/C][/ROW]
[ROW][C]0.43[/C][C]691.7519547791[/C][C]2.29607625642827[/C][/ROW]
[ROW][C]0.44[/C][C]692.179541261595[/C][C]2.26170324474255[/C][/ROW]
[ROW][C]0.45[/C][C]692.598264957735[/C][C]2.21768340118952[/C][/ROW]
[ROW][C]0.46[/C][C]693.006407714973[/C][C]2.16216340262935[/C][/ROW]
[ROW][C]0.47[/C][C]693.402109670145[/C][C]2.09511404944359[/C][/ROW]
[ROW][C]0.48[/C][C]693.783526718583[/C][C]2.01667322277285[/C][/ROW]
[ROW][C]0.49[/C][C]694.149015578077[/C][C]1.92796288191211[/C][/ROW]
[ROW][C]0.5[/C][C]694.497326207103[/C][C]1.83068377061743[/C][/ROW]
[ROW][C]0.51[/C][C]694.827779349916[/C][C]1.73069771282548[/C][/ROW]
[ROW][C]0.52[/C][C]695.140406807629[/C][C]1.63057014079893[/C][/ROW]
[ROW][C]0.53[/C][C]695.436034725691[/C][C]1.53480969306626[/C][/ROW]
[ROW][C]0.54[/C][C]695.71629621666[/C][C]1.45065979854163[/C][/ROW]
[ROW][C]0.55[/C][C]695.983568547804[/C][C]1.38068493944897[/C][/ROW]
[ROW][C]0.56[/C][C]696.240840564314[/C][C]1.32810201047959[/C][/ROW]
[ROW][C]0.57[/C][C]696.491526101044[/C][C]1.29639037345797[/C][/ROW]
[ROW][C]0.58[/C][C]696.739246945136[/C][C]1.28531110573188[/C][/ROW]
[ROW][C]0.59[/C][C]696.987612982165[/C][C]1.29377289698125[/C][/ROW]
[ROW][C]0.6[/C][C]697.240026759248[/C][C]1.31986429286729[/C][/ROW]
[ROW][C]0.61[/C][C]697.499534910272[/C][C]1.35982512209888[/C][/ROW]
[ROW][C]0.62[/C][C]697.768740509105[/C][C]1.41057751372409[/C][/ROW]
[ROW][C]0.63[/C][C]698.049779783844[/C][C]1.46971816012719[/C][/ROW]
[ROW][C]0.64[/C][C]698.344355410494[/C][C]1.53398179466031[/C][/ROW]
[ROW][C]0.65[/C][C]698.653808603483[/C][C]1.60198959103531[/C][/ROW]
[ROW][C]0.66[/C][C]698.979205134167[/C][C]1.67257672274076[/C][/ROW]
[ROW][C]0.67[/C][C]699.321407623702[/C][C]1.74441764792393[/C][/ROW]
[ROW][C]0.68[/C][C]699.681108842305[/C][C]1.81758082074655[/C][/ROW]
[ROW][C]0.69[/C][C]700.05880849301[/C][C]1.89121517337656[/C][/ROW]
[ROW][C]0.7[/C][C]700.454728450903[/C][C]1.96342207002221[/C][/ROW]
[ROW][C]0.71[/C][C]700.868677137303[/C][C]2.03296094227482[/C][/ROW]
[ROW][C]0.72[/C][C]701.299890078294[/C][C]2.09518505372282[/C][/ROW]
[ROW][C]0.73[/C][C]701.74688714978[/C][C]2.14777827468304[/C][/ROW]
[ROW][C]0.74[/C][C]702.20739327334[/C][C]2.18561248032298[/C][/ROW]
[ROW][C]0.75[/C][C]702.67836435775[/C][C]2.20424579968609[/C][/ROW]
[ROW][C]0.76[/C][C]703.156141879692[/C][C]2.20202776068294[/C][/ROW]
[ROW][C]0.77[/C][C]703.636729216785[/C][C]2.17640506254952[/C][/ROW]
[ROW][C]0.78[/C][C]704.116147279879[/C][C]2.13073210246722[/C][/ROW]
[ROW][C]0.79[/C][C]704.590797199162[/C][C]2.06700579100587[/C][/ROW]
[ROW][C]0.8[/C][C]705.057746074708[/C][C]1.98946222802246[/C][/ROW]
[ROW][C]0.81[/C][C]705.514866132193[/C][C]1.90420705928712[/C][/ROW]
[ROW][C]0.82[/C][C]705.960796383775[/C][C]1.81480664628734[/C][/ROW]
[ROW][C]0.83[/C][C]706.394745869734[/C][C]1.72478906713214[/C][/ROW]
[ROW][C]0.84[/C][C]706.816198464325[/C][C]1.63489413215976[/C][/ROW]
[ROW][C]0.85[/C][C]707.224594365438[/C][C]1.54330959255635[/C][/ROW]
[ROW][C]0.86[/C][C]707.619051530398[/C][C]1.44943946049657[/C][/ROW]
[ROW][C]0.87[/C][C]707.998170492861[/C][C]1.35149482175988[/C][/ROW]
[ROW][C]0.88[/C][C]708.359967764367[/C][C]1.24745609763727[/C][/ROW]
[ROW][C]0.89[/C][C]708.702022372896[/C][C]1.13617509006883[/C][/ROW]
[ROW][C]0.9[/C][C]709.021972466588[/C][C]1.01778104229016[/C][/ROW]
[ROW][C]0.91[/C][C]709.318490143237[/C][C]0.895085581860265[/C][/ROW]
[ROW][C]0.92[/C][C]709.592696108136[/C][C]0.77448808016989[/C][/ROW]
[ROW][C]0.93[/C][C]709.849595847893[/C][C]0.669011155710769[/C][/ROW]
[ROW][C]0.94[/C][C]710.098590141758[/C][C]0.593263776469[/C][/ROW]
[ROW][C]0.95[/C][C]710.351694333942[/C][C]0.557186928907648[/C][/ROW]
[ROW][C]0.96[/C][C]710.61829837336[/C][C]0.549444874129413[/C][/ROW]
[ROW][C]0.97[/C][C]710.896736560605[/C][C]0.53070335717504[/C][/ROW]
[ROW][C]0.98[/C][C]711.165781894926[/C][C]0.451821525318008[/C][/ROW]
[ROW][C]0.99[/C][C]711.382836942315[/C][C]0.30783449988324[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38848&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38848&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
0.01672.9182823227272.16774650908508
0.02674.1399683545162.02707917957658
0.03675.3419293326371.80249916599773
0.04676.331814503621.51323100752548
0.05677.0925716452341.24855896033978
0.06677.6740510732741.06718155429835
0.07678.1354987659530.977380029898254
0.08678.5256620432380.959994880954574
0.09678.8788192658380.989408048068571
0.1679.2164359029221.04283240305052
0.11679.5503874969831.10491255053951
0.12679.8861353443911.16541777227029
0.13680.2252831597631.21944142256022
0.14680.5673831385011.26544546243191
0.15680.9110428557761.30452038094855
0.16681.2544896715711.33319414509416
0.17681.5958139958231.35321981502044
0.18681.9331155388781.36230455816088
0.19682.2647115360151.36090262588080
0.2682.5894599930321.35370968331350
0.21682.9071470480921.34493465412071
0.22683.2188218286961.34283612572655
0.23683.5269516804621.35671575287681
0.24683.8353112861061.39452269537896
0.25684.1485914160621.45913014528163
0.26684.4717905667751.55079397020565
0.27684.8095112716051.66420053565148
0.28685.1653066807861.79018461961436
0.29685.5412080577811.91896373678304
0.3685.9375173008042.04132507436374
0.31686.3528854145062.14824433157590
0.32686.7846356579142.23618869549328
0.33687.2292440724022.30116399228554
0.34687.6828692697852.34491245918107
0.35688.1418290991232.37009196637177
0.36688.6029486493142.38119636301745
0.37689.0637422481552.38171711952953
0.38689.5224309499852.37740929922669
0.39689.9778276803042.36766817899601
0.4690.4291397728912.35564322580372
0.41690.875742435722.34103551772554
0.42691.3169695443472.3211086054807
0.43691.75195477912.29607625642827
0.44692.1795412615952.26170324474255
0.45692.5982649577352.21768340118952
0.46693.0064077149732.16216340262935
0.47693.4021096701452.09511404944359
0.48693.7835267185832.01667322277285
0.49694.1490155780771.92796288191211
0.5694.4973262071031.83068377061743
0.51694.8277793499161.73069771282548
0.52695.1404068076291.63057014079893
0.53695.4360347256911.53480969306626
0.54695.716296216661.45065979854163
0.55695.9835685478041.38068493944897
0.56696.2408405643141.32810201047959
0.57696.4915261010441.29639037345797
0.58696.7392469451361.28531110573188
0.59696.9876129821651.29377289698125
0.6697.2400267592481.31986429286729
0.61697.4995349102721.35982512209888
0.62697.7687405091051.41057751372409
0.63698.0497797838441.46971816012719
0.64698.3443554104941.53398179466031
0.65698.6538086034831.60198959103531
0.66698.9792051341671.67257672274076
0.67699.3214076237021.74441764792393
0.68699.6811088423051.81758082074655
0.69700.058808493011.89121517337656
0.7700.4547284509031.96342207002221
0.71700.8686771373032.03296094227482
0.72701.2998900782942.09518505372282
0.73701.746887149782.14777827468304
0.74702.207393273342.18561248032298
0.75702.678364357752.20424579968609
0.76703.1561418796922.20202776068294
0.77703.6367292167852.17640506254952
0.78704.1161472798792.13073210246722
0.79704.5907971991622.06700579100587
0.8705.0577460747081.98946222802246
0.81705.5148661321931.90420705928712
0.82705.9607963837751.81480664628734
0.83706.3947458697341.72478906713214
0.84706.8161984643251.63489413215976
0.85707.2245943654381.54330959255635
0.86707.6190515303981.44943946049657
0.87707.9981704928611.35149482175988
0.88708.3599677643671.24745609763727
0.89708.7020223728961.13617509006883
0.9709.0219724665881.01778104229016
0.91709.3184901432370.895085581860265
0.92709.5926961081360.77448808016989
0.93709.8495958478930.669011155710769
0.94710.0985901417580.593263776469
0.95710.3516943339420.557186928907648
0.96710.618298373360.549444874129413
0.97710.8967365606050.53070335717504
0.98711.1657818949260.451821525318008
0.99711.3828369423150.30783449988324


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')