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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 26 Dec 2011 08:14:41 -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/2011/Dec/26/t1324905308ixxgiea7zklpx31.htm/, Retrieved Fri, 03 May 2024 21:42:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=160808, Retrieved Fri, 03 May 2024 21:42:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact161
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [T4D6] [2011-12-26 13:14:41] [53dd883843ca194f19e2952e03e3e0b7] [Current]
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Dataseries X:
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.7
0.7
0.68
0.68
0.69
0.69
0.7
0.7
0.7
0.7
0.7
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.76
0.77
0.78
0.85
0.89
0.9
0.91
0.91
0.91
0.9
0.89
0.88
0.87
0.86
0.87
0.87
0.87
0.85
0.84
0.84
0.84
0.84
0.84
0.82
0.87
0.92
0.92
0.92
0.93
0.94
0.87
0.84
0.83
0.81
0.81
0.81
0.8
0.8
0.8
0.8
0.8
0.8




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160808&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160808&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160808&T=0

As an alternative you can also use a 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'Gertrude Mary Cox' @ cox.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.6808701807858750.0025674802351662
0.020.6828526347417350.00515925752143197
0.030.6856558774065420.00644121739983718
0.040.6887375264318830.00655957185016135
0.050.6916481784335410.00605243548521021
0.060.6941463278315630.00523845705198014
0.070.6961614990718060.00429548608402651
0.080.6977290224560510.0034135949067658
0.090.6989430713063580.00279691390307909
0.10.6999237705036130.00258973084752816
0.110.7007893758953150.00277075974381688
0.120.7016337769720510.00317109757490508
0.130.70251333383510.00360780409019617
0.140.7034447025080520.00394339511440442
0.150.704411762713040.00409302296936265
0.160.70537779362630.00402318385586438
0.170.706298837124270.00374674643896861
0.180.7071350585169420.0033121679915705
0.190.7078582477457490.00278540332053911
0.20.7084549851317440.00223404769080446
0.210.7089261232084250.0017147520236167
0.220.7092839117005290.00126680357499796
0.230.7095482641105390.000914557857706126
0.240.7097434279459890.000672199038504449
0.250.7098958600400110.000560051751779997
0.260.7100336088502920.00061387859979543
0.270.7101870911619910.000852514917204323
0.280.7103908671623080.00129359465562409
0.290.7106858539227930.0019742781094005
0.30.7111213404764540.00295080599303978
0.310.7117561551547290.00428413315266716
0.320.7126583878997130.00602542115328011
0.330.7139032050723530.00820879787665722
0.340.7155685307160470.0108324947151038
0.350.7177287056988320.0138570504670303
0.360.7204466403749030.0171903046105668
0.370.7237653775641660.0206958685386401
0.380.7277002878966240.0241918868633225
0.390.7322332371116220.0274754220690987
0.40.7373099325654860.0303355595931978
0.410.7428412650666370.0325841448822673
0.420.7487088666691220.0340745693812885
0.430.7547744149575030.0347233546122053
0.440.7608915697171650.0345199584268884
0.450.7669189642290210.033530323633128
0.460.7727324874178390.0318831609738598
0.470.7782352190258730.0297590886788486
0.480.7833637837440370.0273654258820374
0.490.7880904813841670.0249128596790809
0.50.7924212075221120.0225954340217308
0.510.7963897810397310.0205675227644282
0.520.8000497460749780.0189334490034281
0.530.8034649621175870.0177341074739997
0.540.8067003277368130.0169465991139835
0.550.8098138270974320.016494416389463
0.560.8128507922272980.0162697821739014
0.570.8158408936508970.0161553761903186
0.580.8187979606709780.0160469102210764
0.590.8217223368229170.0158688294574699
0.60.824605136354750.0155764550146054
0.610.8274335204674240.0151641686194473
0.620.8301959899317180.01465850481834
0.630.8328867180979850.0141112206170437
0.640.83550813443620.0135884791568325
0.650.8380712993202820.0131549141738263
0.660.8405940429552160.012857213778576
0.670.8430973049764720.0127113884290973
0.680.845600517990430.0126946762122738
0.690.8481171377327450.0127534247986706
0.70.8506514620050980.0128158318016186
0.710.8531976648751110.0128094346174636
0.720.8557415184621010.0126799482511174
0.730.8582646561330250.0124044718995903
0.740.8607505732909320.0120003035336709
0.750.8631910213685290.0115231598031388
0.760.8655911814822660.0110605836554845
0.770.8679721173874230.0107158440043747
0.780.870369529195860.0105788660368026
0.790.8728286740527880.0106987732630426
0.80.875396291662920.0110608862887437
0.810.8781112067692190.0115896438507998
0.820.8809957236658710.0121696075524536
0.830.8840498300279670.0126745163834348
0.840.8872496090327920.0129940876436666
0.850.8905503033424270.0130506896234903
0.860.8938934365550150.0128099256907681
0.870.897216478027550.0122843820986253
0.880.9004628422028010.0115261109111721
0.890.9035897036863560.0106178999405464
0.90.9065716620529860.00965202739301647
0.910.9094005030435330.00870398416628355
0.920.9120854826789060.00780880874538308
0.930.9146628434244690.00697445053329598
0.940.9172223955078890.00625799930580599
0.950.9199459325310770.00588295587460661
0.960.9231229498911510.00618576585717912
0.970.9270670941484160.00717902346656872
0.980.9318279319663770.00836569265403789
0.990.9366961204791690.00929764952256009

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.680870180785875 & 0.0025674802351662 \tabularnewline
0.02 & 0.682852634741735 & 0.00515925752143197 \tabularnewline
0.03 & 0.685655877406542 & 0.00644121739983718 \tabularnewline
0.04 & 0.688737526431883 & 0.00655957185016135 \tabularnewline
0.05 & 0.691648178433541 & 0.00605243548521021 \tabularnewline
0.06 & 0.694146327831563 & 0.00523845705198014 \tabularnewline
0.07 & 0.696161499071806 & 0.00429548608402651 \tabularnewline
0.08 & 0.697729022456051 & 0.0034135949067658 \tabularnewline
0.09 & 0.698943071306358 & 0.00279691390307909 \tabularnewline
0.1 & 0.699923770503613 & 0.00258973084752816 \tabularnewline
0.11 & 0.700789375895315 & 0.00277075974381688 \tabularnewline
0.12 & 0.701633776972051 & 0.00317109757490508 \tabularnewline
0.13 & 0.7025133338351 & 0.00360780409019617 \tabularnewline
0.14 & 0.703444702508052 & 0.00394339511440442 \tabularnewline
0.15 & 0.70441176271304 & 0.00409302296936265 \tabularnewline
0.16 & 0.7053777936263 & 0.00402318385586438 \tabularnewline
0.17 & 0.70629883712427 & 0.00374674643896861 \tabularnewline
0.18 & 0.707135058516942 & 0.0033121679915705 \tabularnewline
0.19 & 0.707858247745749 & 0.00278540332053911 \tabularnewline
0.2 & 0.708454985131744 & 0.00223404769080446 \tabularnewline
0.21 & 0.708926123208425 & 0.0017147520236167 \tabularnewline
0.22 & 0.709283911700529 & 0.00126680357499796 \tabularnewline
0.23 & 0.709548264110539 & 0.000914557857706126 \tabularnewline
0.24 & 0.709743427945989 & 0.000672199038504449 \tabularnewline
0.25 & 0.709895860040011 & 0.000560051751779997 \tabularnewline
0.26 & 0.710033608850292 & 0.00061387859979543 \tabularnewline
0.27 & 0.710187091161991 & 0.000852514917204323 \tabularnewline
0.28 & 0.710390867162308 & 0.00129359465562409 \tabularnewline
0.29 & 0.710685853922793 & 0.0019742781094005 \tabularnewline
0.3 & 0.711121340476454 & 0.00295080599303978 \tabularnewline
0.31 & 0.711756155154729 & 0.00428413315266716 \tabularnewline
0.32 & 0.712658387899713 & 0.00602542115328011 \tabularnewline
0.33 & 0.713903205072353 & 0.00820879787665722 \tabularnewline
0.34 & 0.715568530716047 & 0.0108324947151038 \tabularnewline
0.35 & 0.717728705698832 & 0.0138570504670303 \tabularnewline
0.36 & 0.720446640374903 & 0.0171903046105668 \tabularnewline
0.37 & 0.723765377564166 & 0.0206958685386401 \tabularnewline
0.38 & 0.727700287896624 & 0.0241918868633225 \tabularnewline
0.39 & 0.732233237111622 & 0.0274754220690987 \tabularnewline
0.4 & 0.737309932565486 & 0.0303355595931978 \tabularnewline
0.41 & 0.742841265066637 & 0.0325841448822673 \tabularnewline
0.42 & 0.748708866669122 & 0.0340745693812885 \tabularnewline
0.43 & 0.754774414957503 & 0.0347233546122053 \tabularnewline
0.44 & 0.760891569717165 & 0.0345199584268884 \tabularnewline
0.45 & 0.766918964229021 & 0.033530323633128 \tabularnewline
0.46 & 0.772732487417839 & 0.0318831609738598 \tabularnewline
0.47 & 0.778235219025873 & 0.0297590886788486 \tabularnewline
0.48 & 0.783363783744037 & 0.0273654258820374 \tabularnewline
0.49 & 0.788090481384167 & 0.0249128596790809 \tabularnewline
0.5 & 0.792421207522112 & 0.0225954340217308 \tabularnewline
0.51 & 0.796389781039731 & 0.0205675227644282 \tabularnewline
0.52 & 0.800049746074978 & 0.0189334490034281 \tabularnewline
0.53 & 0.803464962117587 & 0.0177341074739997 \tabularnewline
0.54 & 0.806700327736813 & 0.0169465991139835 \tabularnewline
0.55 & 0.809813827097432 & 0.016494416389463 \tabularnewline
0.56 & 0.812850792227298 & 0.0162697821739014 \tabularnewline
0.57 & 0.815840893650897 & 0.0161553761903186 \tabularnewline
0.58 & 0.818797960670978 & 0.0160469102210764 \tabularnewline
0.59 & 0.821722336822917 & 0.0158688294574699 \tabularnewline
0.6 & 0.82460513635475 & 0.0155764550146054 \tabularnewline
0.61 & 0.827433520467424 & 0.0151641686194473 \tabularnewline
0.62 & 0.830195989931718 & 0.01465850481834 \tabularnewline
0.63 & 0.832886718097985 & 0.0141112206170437 \tabularnewline
0.64 & 0.8355081344362 & 0.0135884791568325 \tabularnewline
0.65 & 0.838071299320282 & 0.0131549141738263 \tabularnewline
0.66 & 0.840594042955216 & 0.012857213778576 \tabularnewline
0.67 & 0.843097304976472 & 0.0127113884290973 \tabularnewline
0.68 & 0.84560051799043 & 0.0126946762122738 \tabularnewline
0.69 & 0.848117137732745 & 0.0127534247986706 \tabularnewline
0.7 & 0.850651462005098 & 0.0128158318016186 \tabularnewline
0.71 & 0.853197664875111 & 0.0128094346174636 \tabularnewline
0.72 & 0.855741518462101 & 0.0126799482511174 \tabularnewline
0.73 & 0.858264656133025 & 0.0124044718995903 \tabularnewline
0.74 & 0.860750573290932 & 0.0120003035336709 \tabularnewline
0.75 & 0.863191021368529 & 0.0115231598031388 \tabularnewline
0.76 & 0.865591181482266 & 0.0110605836554845 \tabularnewline
0.77 & 0.867972117387423 & 0.0107158440043747 \tabularnewline
0.78 & 0.87036952919586 & 0.0105788660368026 \tabularnewline
0.79 & 0.872828674052788 & 0.0106987732630426 \tabularnewline
0.8 & 0.87539629166292 & 0.0110608862887437 \tabularnewline
0.81 & 0.878111206769219 & 0.0115896438507998 \tabularnewline
0.82 & 0.880995723665871 & 0.0121696075524536 \tabularnewline
0.83 & 0.884049830027967 & 0.0126745163834348 \tabularnewline
0.84 & 0.887249609032792 & 0.0129940876436666 \tabularnewline
0.85 & 0.890550303342427 & 0.0130506896234903 \tabularnewline
0.86 & 0.893893436555015 & 0.0128099256907681 \tabularnewline
0.87 & 0.89721647802755 & 0.0122843820986253 \tabularnewline
0.88 & 0.900462842202801 & 0.0115261109111721 \tabularnewline
0.89 & 0.903589703686356 & 0.0106178999405464 \tabularnewline
0.9 & 0.906571662052986 & 0.00965202739301647 \tabularnewline
0.91 & 0.909400503043533 & 0.00870398416628355 \tabularnewline
0.92 & 0.912085482678906 & 0.00780880874538308 \tabularnewline
0.93 & 0.914662843424469 & 0.00697445053329598 \tabularnewline
0.94 & 0.917222395507889 & 0.00625799930580599 \tabularnewline
0.95 & 0.919945932531077 & 0.00588295587460661 \tabularnewline
0.96 & 0.923122949891151 & 0.00618576585717912 \tabularnewline
0.97 & 0.927067094148416 & 0.00717902346656872 \tabularnewline
0.98 & 0.931827931966377 & 0.00836569265403789 \tabularnewline
0.99 & 0.936696120479169 & 0.00929764952256009 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160808&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]0.680870180785875[/C][C]0.0025674802351662[/C][/ROW]
[ROW][C]0.02[/C][C]0.682852634741735[/C][C]0.00515925752143197[/C][/ROW]
[ROW][C]0.03[/C][C]0.685655877406542[/C][C]0.00644121739983718[/C][/ROW]
[ROW][C]0.04[/C][C]0.688737526431883[/C][C]0.00655957185016135[/C][/ROW]
[ROW][C]0.05[/C][C]0.691648178433541[/C][C]0.00605243548521021[/C][/ROW]
[ROW][C]0.06[/C][C]0.694146327831563[/C][C]0.00523845705198014[/C][/ROW]
[ROW][C]0.07[/C][C]0.696161499071806[/C][C]0.00429548608402651[/C][/ROW]
[ROW][C]0.08[/C][C]0.697729022456051[/C][C]0.0034135949067658[/C][/ROW]
[ROW][C]0.09[/C][C]0.698943071306358[/C][C]0.00279691390307909[/C][/ROW]
[ROW][C]0.1[/C][C]0.699923770503613[/C][C]0.00258973084752816[/C][/ROW]
[ROW][C]0.11[/C][C]0.700789375895315[/C][C]0.00277075974381688[/C][/ROW]
[ROW][C]0.12[/C][C]0.701633776972051[/C][C]0.00317109757490508[/C][/ROW]
[ROW][C]0.13[/C][C]0.7025133338351[/C][C]0.00360780409019617[/C][/ROW]
[ROW][C]0.14[/C][C]0.703444702508052[/C][C]0.00394339511440442[/C][/ROW]
[ROW][C]0.15[/C][C]0.70441176271304[/C][C]0.00409302296936265[/C][/ROW]
[ROW][C]0.16[/C][C]0.7053777936263[/C][C]0.00402318385586438[/C][/ROW]
[ROW][C]0.17[/C][C]0.70629883712427[/C][C]0.00374674643896861[/C][/ROW]
[ROW][C]0.18[/C][C]0.707135058516942[/C][C]0.0033121679915705[/C][/ROW]
[ROW][C]0.19[/C][C]0.707858247745749[/C][C]0.00278540332053911[/C][/ROW]
[ROW][C]0.2[/C][C]0.708454985131744[/C][C]0.00223404769080446[/C][/ROW]
[ROW][C]0.21[/C][C]0.708926123208425[/C][C]0.0017147520236167[/C][/ROW]
[ROW][C]0.22[/C][C]0.709283911700529[/C][C]0.00126680357499796[/C][/ROW]
[ROW][C]0.23[/C][C]0.709548264110539[/C][C]0.000914557857706126[/C][/ROW]
[ROW][C]0.24[/C][C]0.709743427945989[/C][C]0.000672199038504449[/C][/ROW]
[ROW][C]0.25[/C][C]0.709895860040011[/C][C]0.000560051751779997[/C][/ROW]
[ROW][C]0.26[/C][C]0.710033608850292[/C][C]0.00061387859979543[/C][/ROW]
[ROW][C]0.27[/C][C]0.710187091161991[/C][C]0.000852514917204323[/C][/ROW]
[ROW][C]0.28[/C][C]0.710390867162308[/C][C]0.00129359465562409[/C][/ROW]
[ROW][C]0.29[/C][C]0.710685853922793[/C][C]0.0019742781094005[/C][/ROW]
[ROW][C]0.3[/C][C]0.711121340476454[/C][C]0.00295080599303978[/C][/ROW]
[ROW][C]0.31[/C][C]0.711756155154729[/C][C]0.00428413315266716[/C][/ROW]
[ROW][C]0.32[/C][C]0.712658387899713[/C][C]0.00602542115328011[/C][/ROW]
[ROW][C]0.33[/C][C]0.713903205072353[/C][C]0.00820879787665722[/C][/ROW]
[ROW][C]0.34[/C][C]0.715568530716047[/C][C]0.0108324947151038[/C][/ROW]
[ROW][C]0.35[/C][C]0.717728705698832[/C][C]0.0138570504670303[/C][/ROW]
[ROW][C]0.36[/C][C]0.720446640374903[/C][C]0.0171903046105668[/C][/ROW]
[ROW][C]0.37[/C][C]0.723765377564166[/C][C]0.0206958685386401[/C][/ROW]
[ROW][C]0.38[/C][C]0.727700287896624[/C][C]0.0241918868633225[/C][/ROW]
[ROW][C]0.39[/C][C]0.732233237111622[/C][C]0.0274754220690987[/C][/ROW]
[ROW][C]0.4[/C][C]0.737309932565486[/C][C]0.0303355595931978[/C][/ROW]
[ROW][C]0.41[/C][C]0.742841265066637[/C][C]0.0325841448822673[/C][/ROW]
[ROW][C]0.42[/C][C]0.748708866669122[/C][C]0.0340745693812885[/C][/ROW]
[ROW][C]0.43[/C][C]0.754774414957503[/C][C]0.0347233546122053[/C][/ROW]
[ROW][C]0.44[/C][C]0.760891569717165[/C][C]0.0345199584268884[/C][/ROW]
[ROW][C]0.45[/C][C]0.766918964229021[/C][C]0.033530323633128[/C][/ROW]
[ROW][C]0.46[/C][C]0.772732487417839[/C][C]0.0318831609738598[/C][/ROW]
[ROW][C]0.47[/C][C]0.778235219025873[/C][C]0.0297590886788486[/C][/ROW]
[ROW][C]0.48[/C][C]0.783363783744037[/C][C]0.0273654258820374[/C][/ROW]
[ROW][C]0.49[/C][C]0.788090481384167[/C][C]0.0249128596790809[/C][/ROW]
[ROW][C]0.5[/C][C]0.792421207522112[/C][C]0.0225954340217308[/C][/ROW]
[ROW][C]0.51[/C][C]0.796389781039731[/C][C]0.0205675227644282[/C][/ROW]
[ROW][C]0.52[/C][C]0.800049746074978[/C][C]0.0189334490034281[/C][/ROW]
[ROW][C]0.53[/C][C]0.803464962117587[/C][C]0.0177341074739997[/C][/ROW]
[ROW][C]0.54[/C][C]0.806700327736813[/C][C]0.0169465991139835[/C][/ROW]
[ROW][C]0.55[/C][C]0.809813827097432[/C][C]0.016494416389463[/C][/ROW]
[ROW][C]0.56[/C][C]0.812850792227298[/C][C]0.0162697821739014[/C][/ROW]
[ROW][C]0.57[/C][C]0.815840893650897[/C][C]0.0161553761903186[/C][/ROW]
[ROW][C]0.58[/C][C]0.818797960670978[/C][C]0.0160469102210764[/C][/ROW]
[ROW][C]0.59[/C][C]0.821722336822917[/C][C]0.0158688294574699[/C][/ROW]
[ROW][C]0.6[/C][C]0.82460513635475[/C][C]0.0155764550146054[/C][/ROW]
[ROW][C]0.61[/C][C]0.827433520467424[/C][C]0.0151641686194473[/C][/ROW]
[ROW][C]0.62[/C][C]0.830195989931718[/C][C]0.01465850481834[/C][/ROW]
[ROW][C]0.63[/C][C]0.832886718097985[/C][C]0.0141112206170437[/C][/ROW]
[ROW][C]0.64[/C][C]0.8355081344362[/C][C]0.0135884791568325[/C][/ROW]
[ROW][C]0.65[/C][C]0.838071299320282[/C][C]0.0131549141738263[/C][/ROW]
[ROW][C]0.66[/C][C]0.840594042955216[/C][C]0.012857213778576[/C][/ROW]
[ROW][C]0.67[/C][C]0.843097304976472[/C][C]0.0127113884290973[/C][/ROW]
[ROW][C]0.68[/C][C]0.84560051799043[/C][C]0.0126946762122738[/C][/ROW]
[ROW][C]0.69[/C][C]0.848117137732745[/C][C]0.0127534247986706[/C][/ROW]
[ROW][C]0.7[/C][C]0.850651462005098[/C][C]0.0128158318016186[/C][/ROW]
[ROW][C]0.71[/C][C]0.853197664875111[/C][C]0.0128094346174636[/C][/ROW]
[ROW][C]0.72[/C][C]0.855741518462101[/C][C]0.0126799482511174[/C][/ROW]
[ROW][C]0.73[/C][C]0.858264656133025[/C][C]0.0124044718995903[/C][/ROW]
[ROW][C]0.74[/C][C]0.860750573290932[/C][C]0.0120003035336709[/C][/ROW]
[ROW][C]0.75[/C][C]0.863191021368529[/C][C]0.0115231598031388[/C][/ROW]
[ROW][C]0.76[/C][C]0.865591181482266[/C][C]0.0110605836554845[/C][/ROW]
[ROW][C]0.77[/C][C]0.867972117387423[/C][C]0.0107158440043747[/C][/ROW]
[ROW][C]0.78[/C][C]0.87036952919586[/C][C]0.0105788660368026[/C][/ROW]
[ROW][C]0.79[/C][C]0.872828674052788[/C][C]0.0106987732630426[/C][/ROW]
[ROW][C]0.8[/C][C]0.87539629166292[/C][C]0.0110608862887437[/C][/ROW]
[ROW][C]0.81[/C][C]0.878111206769219[/C][C]0.0115896438507998[/C][/ROW]
[ROW][C]0.82[/C][C]0.880995723665871[/C][C]0.0121696075524536[/C][/ROW]
[ROW][C]0.83[/C][C]0.884049830027967[/C][C]0.0126745163834348[/C][/ROW]
[ROW][C]0.84[/C][C]0.887249609032792[/C][C]0.0129940876436666[/C][/ROW]
[ROW][C]0.85[/C][C]0.890550303342427[/C][C]0.0130506896234903[/C][/ROW]
[ROW][C]0.86[/C][C]0.893893436555015[/C][C]0.0128099256907681[/C][/ROW]
[ROW][C]0.87[/C][C]0.89721647802755[/C][C]0.0122843820986253[/C][/ROW]
[ROW][C]0.88[/C][C]0.900462842202801[/C][C]0.0115261109111721[/C][/ROW]
[ROW][C]0.89[/C][C]0.903589703686356[/C][C]0.0106178999405464[/C][/ROW]
[ROW][C]0.9[/C][C]0.906571662052986[/C][C]0.00965202739301647[/C][/ROW]
[ROW][C]0.91[/C][C]0.909400503043533[/C][C]0.00870398416628355[/C][/ROW]
[ROW][C]0.92[/C][C]0.912085482678906[/C][C]0.00780880874538308[/C][/ROW]
[ROW][C]0.93[/C][C]0.914662843424469[/C][C]0.00697445053329598[/C][/ROW]
[ROW][C]0.94[/C][C]0.917222395507889[/C][C]0.00625799930580599[/C][/ROW]
[ROW][C]0.95[/C][C]0.919945932531077[/C][C]0.00588295587460661[/C][/ROW]
[ROW][C]0.96[/C][C]0.923122949891151[/C][C]0.00618576585717912[/C][/ROW]
[ROW][C]0.97[/C][C]0.927067094148416[/C][C]0.00717902346656872[/C][/ROW]
[ROW][C]0.98[/C][C]0.931827931966377[/C][C]0.00836569265403789[/C][/ROW]
[ROW][C]0.99[/C][C]0.936696120479169[/C][C]0.00929764952256009[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160808&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160808&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.6808701807858750.0025674802351662
0.020.6828526347417350.00515925752143197
0.030.6856558774065420.00644121739983718
0.040.6887375264318830.00655957185016135
0.050.6916481784335410.00605243548521021
0.060.6941463278315630.00523845705198014
0.070.6961614990718060.00429548608402651
0.080.6977290224560510.0034135949067658
0.090.6989430713063580.00279691390307909
0.10.6999237705036130.00258973084752816
0.110.7007893758953150.00277075974381688
0.120.7016337769720510.00317109757490508
0.130.70251333383510.00360780409019617
0.140.7034447025080520.00394339511440442
0.150.704411762713040.00409302296936265
0.160.70537779362630.00402318385586438
0.170.706298837124270.00374674643896861
0.180.7071350585169420.0033121679915705
0.190.7078582477457490.00278540332053911
0.20.7084549851317440.00223404769080446
0.210.7089261232084250.0017147520236167
0.220.7092839117005290.00126680357499796
0.230.7095482641105390.000914557857706126
0.240.7097434279459890.000672199038504449
0.250.7098958600400110.000560051751779997
0.260.7100336088502920.00061387859979543
0.270.7101870911619910.000852514917204323
0.280.7103908671623080.00129359465562409
0.290.7106858539227930.0019742781094005
0.30.7111213404764540.00295080599303978
0.310.7117561551547290.00428413315266716
0.320.7126583878997130.00602542115328011
0.330.7139032050723530.00820879787665722
0.340.7155685307160470.0108324947151038
0.350.7177287056988320.0138570504670303
0.360.7204466403749030.0171903046105668
0.370.7237653775641660.0206958685386401
0.380.7277002878966240.0241918868633225
0.390.7322332371116220.0274754220690987
0.40.7373099325654860.0303355595931978
0.410.7428412650666370.0325841448822673
0.420.7487088666691220.0340745693812885
0.430.7547744149575030.0347233546122053
0.440.7608915697171650.0345199584268884
0.450.7669189642290210.033530323633128
0.460.7727324874178390.0318831609738598
0.470.7782352190258730.0297590886788486
0.480.7833637837440370.0273654258820374
0.490.7880904813841670.0249128596790809
0.50.7924212075221120.0225954340217308
0.510.7963897810397310.0205675227644282
0.520.8000497460749780.0189334490034281
0.530.8034649621175870.0177341074739997
0.540.8067003277368130.0169465991139835
0.550.8098138270974320.016494416389463
0.560.8128507922272980.0162697821739014
0.570.8158408936508970.0161553761903186
0.580.8187979606709780.0160469102210764
0.590.8217223368229170.0158688294574699
0.60.824605136354750.0155764550146054
0.610.8274335204674240.0151641686194473
0.620.8301959899317180.01465850481834
0.630.8328867180979850.0141112206170437
0.640.83550813443620.0135884791568325
0.650.8380712993202820.0131549141738263
0.660.8405940429552160.012857213778576
0.670.8430973049764720.0127113884290973
0.680.845600517990430.0126946762122738
0.690.8481171377327450.0127534247986706
0.70.8506514620050980.0128158318016186
0.710.8531976648751110.0128094346174636
0.720.8557415184621010.0126799482511174
0.730.8582646561330250.0124044718995903
0.740.8607505732909320.0120003035336709
0.750.8631910213685290.0115231598031388
0.760.8655911814822660.0110605836554845
0.770.8679721173874230.0107158440043747
0.780.870369529195860.0105788660368026
0.790.8728286740527880.0106987732630426
0.80.875396291662920.0110608862887437
0.810.8781112067692190.0115896438507998
0.820.8809957236658710.0121696075524536
0.830.8840498300279670.0126745163834348
0.840.8872496090327920.0129940876436666
0.850.8905503033424270.0130506896234903
0.860.8938934365550150.0128099256907681
0.870.897216478027550.0122843820986253
0.880.9004628422028010.0115261109111721
0.890.9035897036863560.0106178999405464
0.90.9065716620529860.00965202739301647
0.910.9094005030435330.00870398416628355
0.920.9120854826789060.00780880874538308
0.930.9146628434244690.00697445053329598
0.940.9172223955078890.00625799930580599
0.950.9199459325310770.00588295587460661
0.960.9231229498911510.00618576585717912
0.970.9270670941484160.00717902346656872
0.980.9318279319663770.00836569265403789
0.990.9366961204791690.00929764952256009



Parameters (Session):
par1 = 0.1 ; par2 = 1 ; 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')