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Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 17 Dec 2009 10:01:32 -0700
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/Dec/17/t12610693263z2llchpbx5nq9x.htm/, Retrieved Tue, 30 Apr 2024 00:38:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=68994, Retrieved Tue, 30 Apr 2024 00:38:16 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact96
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [Paper: Harrel-Dav...] [2009-12-06 14:57:16] [3c8b83428ce260cd44df892bb7619588]
-   P     [Harrell-Davis Quantiles] [Harrel-Davis Quan...] [2009-12-17 17:01:32] [a5c6be3c0aa55fdb2a703a08e16947ef] [Current]
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Dataseries X:
0.7461
0.7775
0.7790
0.7744
0.7905
0.7719
0.7811
0.7557
0.7637
0.7595
0.7471
0.7615
0.7487
0.7389
0.7337
0.7510
0.7382
0.7159
0.7542
0.7636
0.7433
0.7658
0.7627
0.7480
0.7692
0.7850
0.7913
0.7720
0.7880
0.8070
0.8268
0.8244
0.8487
0.8572
0.8214
0.8827
0.9216
0.8865
0.8816
0.8884
0.9466
0.9180
0.9337
0.9559
0.9626
0.9434
0.8639
0.7996
0.6680
0.6572
0.6928
0.6438
0.6454
0.6873
0.7265
0.7912
0.8114
0.8281
0.8393




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=68994&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=68994&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68994&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'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.6451062111436660.00417448684701197
0.020.6479206992178570.00831390011611612
0.030.6522447525132670.0125295201145841
0.040.6578346337941220.0161738313844694
0.050.6643486891986950.0191030069292957
0.060.6714481772277640.0213368527580764
0.070.67884126379440.0228969862042078
0.080.6862886859933150.0237864375786834
0.090.6935944888767540.0240062226181224
0.10.7005970673763170.0235766415281228
0.110.7071658390588360.0225572637401595
0.120.7132026101107280.0210529878924593
0.130.7186443875574740.0192107173497904
0.140.7234645830990180.0171954062449918
0.150.7276708971320130.0151645869520981
0.160.7312997467671550.0132479923331110
0.170.734408314556120.0115347505728765
0.180.7370658468811280.0100736408617231
0.190.7393457265675480.0088779664593971
0.20.7413193123466540.00793720839254302
0.210.7430518834191510.00722853779328909
0.220.744600494757740.00672146969592985
0.230.7460132551634280.00638641614181834
0.240.7473294826542250.00619113175453814
0.250.7485802953292410.00610778984866468
0.260.7497893657844060.00610422377448143
0.270.7509737264849930.00615154995167135
0.280.7521446188695690.00622250876154133
0.290.7533084199012620.00629465845328501
0.30.7544676689090120.00635232179136859
0.310.7556221783815110.00638590922976228
0.320.7567701689612270.0063908330869518
0.330.7579093392447820.00637219142184773
0.340.7590377742914610.00633655789096589
0.350.7601546135350920.00629650933053087
0.360.761260433182950.00626443594644127
0.370.7623573407485010.00625070037916318
0.380.7634488200946580.00626375812301758
0.390.7645393960326930.00630874164439121
0.40.7656342031966040.00638719122969768
0.410.7667385435229870.00649616728287066
0.420.7678575026753530.00663249025582351
0.430.7689956731169970.00679038703546507
0.440.7701570062492220.00696495468820957
0.450.771344793582280.00715149711251945
0.460.772561761029450.00734667013540873
0.470.773810252388710.00754930946321497
0.480.775092476718460.00775972199949052
0.490.776410796639150.00797891528044346
0.50.7777680369452720.00820991891290892
0.510.7791677922598760.0084593216994501
0.520.7806147075088660.00873299624609523
0.530.7821146967869560.00904018545639007
0.540.7836750580579550.00938920240833695
0.550.785304437873530.0097906721767638
0.560.787012606779680.010252369463119
0.570.7888100255934130.0107789441329612
0.580.7907072154508630.0113674891870588
0.590.792713986599880.0120114803423498
0.60.7948386244943360.012695783355796
0.610.79708716620160.0133993875421485
0.620.7994629142480860.0141000587545272
0.630.8019663199066230.0147745367526512
0.640.8045953198821530.0154030340145401
0.650.8073461329985810.0159725275899499
0.660.8102144283838930.0164821164152594
0.670.8131966819876430.0169406358485840
0.680.8162914656916820.0173662838350766
0.690.8195003833566830.0177838704961471
0.70.8228283954735370.0182212437986783
0.710.8262833632002860.0187004890926808
0.720.8298747856922970.0192304586998937
0.730.8336118817194370.0198069309259617
0.740.8375013473562760.0204059110727989
0.750.8415452690320580.0209897732833386
0.760.8457397458737480.0215117293070809
0.770.8500747399674610.0219258814614124
0.780.8545355003112990.0221961637459893
0.790.859105588401570.0223064650194945
0.80.8637710976492830.0222696422366849
0.810.8685251809092780.0221295828868821
0.820.8733716094999360.0219560146262739
0.830.8783259484745730.0218316262012372
0.840.8834131994854250.0218258725234019
0.850.8886615005304250.0219640363436854
0.860.8940925880062420.0222041258867797
0.870.8997109433556170.022434470445158
0.880.9054944658420690.0224975997543885
0.890.9113897640724970.0222322620864812
0.90.9173145603846780.0215159459960581
0.910.9231683182745960.0202993033623211
0.920.9288502264900620.0186196340502628
0.930.9342812152518490.0166038562208559
0.940.9394236580166520.0144515301017624
0.950.9442886536760790.0123959306730119
0.960.9489165130826050.0106191046049541
0.970.9533141469438960.00914863097457607
0.980.9573457586098920.00791125626788422
0.990.9606287963969930.00699473284303188

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.645106211143666 & 0.00417448684701197 \tabularnewline
0.02 & 0.647920699217857 & 0.00831390011611612 \tabularnewline
0.03 & 0.652244752513267 & 0.0125295201145841 \tabularnewline
0.04 & 0.657834633794122 & 0.0161738313844694 \tabularnewline
0.05 & 0.664348689198695 & 0.0191030069292957 \tabularnewline
0.06 & 0.671448177227764 & 0.0213368527580764 \tabularnewline
0.07 & 0.6788412637944 & 0.0228969862042078 \tabularnewline
0.08 & 0.686288685993315 & 0.0237864375786834 \tabularnewline
0.09 & 0.693594488876754 & 0.0240062226181224 \tabularnewline
0.1 & 0.700597067376317 & 0.0235766415281228 \tabularnewline
0.11 & 0.707165839058836 & 0.0225572637401595 \tabularnewline
0.12 & 0.713202610110728 & 0.0210529878924593 \tabularnewline
0.13 & 0.718644387557474 & 0.0192107173497904 \tabularnewline
0.14 & 0.723464583099018 & 0.0171954062449918 \tabularnewline
0.15 & 0.727670897132013 & 0.0151645869520981 \tabularnewline
0.16 & 0.731299746767155 & 0.0132479923331110 \tabularnewline
0.17 & 0.73440831455612 & 0.0115347505728765 \tabularnewline
0.18 & 0.737065846881128 & 0.0100736408617231 \tabularnewline
0.19 & 0.739345726567548 & 0.0088779664593971 \tabularnewline
0.2 & 0.741319312346654 & 0.00793720839254302 \tabularnewline
0.21 & 0.743051883419151 & 0.00722853779328909 \tabularnewline
0.22 & 0.74460049475774 & 0.00672146969592985 \tabularnewline
0.23 & 0.746013255163428 & 0.00638641614181834 \tabularnewline
0.24 & 0.747329482654225 & 0.00619113175453814 \tabularnewline
0.25 & 0.748580295329241 & 0.00610778984866468 \tabularnewline
0.26 & 0.749789365784406 & 0.00610422377448143 \tabularnewline
0.27 & 0.750973726484993 & 0.00615154995167135 \tabularnewline
0.28 & 0.752144618869569 & 0.00622250876154133 \tabularnewline
0.29 & 0.753308419901262 & 0.00629465845328501 \tabularnewline
0.3 & 0.754467668909012 & 0.00635232179136859 \tabularnewline
0.31 & 0.755622178381511 & 0.00638590922976228 \tabularnewline
0.32 & 0.756770168961227 & 0.0063908330869518 \tabularnewline
0.33 & 0.757909339244782 & 0.00637219142184773 \tabularnewline
0.34 & 0.759037774291461 & 0.00633655789096589 \tabularnewline
0.35 & 0.760154613535092 & 0.00629650933053087 \tabularnewline
0.36 & 0.76126043318295 & 0.00626443594644127 \tabularnewline
0.37 & 0.762357340748501 & 0.00625070037916318 \tabularnewline
0.38 & 0.763448820094658 & 0.00626375812301758 \tabularnewline
0.39 & 0.764539396032693 & 0.00630874164439121 \tabularnewline
0.4 & 0.765634203196604 & 0.00638719122969768 \tabularnewline
0.41 & 0.766738543522987 & 0.00649616728287066 \tabularnewline
0.42 & 0.767857502675353 & 0.00663249025582351 \tabularnewline
0.43 & 0.768995673116997 & 0.00679038703546507 \tabularnewline
0.44 & 0.770157006249222 & 0.00696495468820957 \tabularnewline
0.45 & 0.77134479358228 & 0.00715149711251945 \tabularnewline
0.46 & 0.77256176102945 & 0.00734667013540873 \tabularnewline
0.47 & 0.77381025238871 & 0.00754930946321497 \tabularnewline
0.48 & 0.77509247671846 & 0.00775972199949052 \tabularnewline
0.49 & 0.77641079663915 & 0.00797891528044346 \tabularnewline
0.5 & 0.777768036945272 & 0.00820991891290892 \tabularnewline
0.51 & 0.779167792259876 & 0.0084593216994501 \tabularnewline
0.52 & 0.780614707508866 & 0.00873299624609523 \tabularnewline
0.53 & 0.782114696786956 & 0.00904018545639007 \tabularnewline
0.54 & 0.783675058057955 & 0.00938920240833695 \tabularnewline
0.55 & 0.78530443787353 & 0.0097906721767638 \tabularnewline
0.56 & 0.78701260677968 & 0.010252369463119 \tabularnewline
0.57 & 0.788810025593413 & 0.0107789441329612 \tabularnewline
0.58 & 0.790707215450863 & 0.0113674891870588 \tabularnewline
0.59 & 0.79271398659988 & 0.0120114803423498 \tabularnewline
0.6 & 0.794838624494336 & 0.012695783355796 \tabularnewline
0.61 & 0.7970871662016 & 0.0133993875421485 \tabularnewline
0.62 & 0.799462914248086 & 0.0141000587545272 \tabularnewline
0.63 & 0.801966319906623 & 0.0147745367526512 \tabularnewline
0.64 & 0.804595319882153 & 0.0154030340145401 \tabularnewline
0.65 & 0.807346132998581 & 0.0159725275899499 \tabularnewline
0.66 & 0.810214428383893 & 0.0164821164152594 \tabularnewline
0.67 & 0.813196681987643 & 0.0169406358485840 \tabularnewline
0.68 & 0.816291465691682 & 0.0173662838350766 \tabularnewline
0.69 & 0.819500383356683 & 0.0177838704961471 \tabularnewline
0.7 & 0.822828395473537 & 0.0182212437986783 \tabularnewline
0.71 & 0.826283363200286 & 0.0187004890926808 \tabularnewline
0.72 & 0.829874785692297 & 0.0192304586998937 \tabularnewline
0.73 & 0.833611881719437 & 0.0198069309259617 \tabularnewline
0.74 & 0.837501347356276 & 0.0204059110727989 \tabularnewline
0.75 & 0.841545269032058 & 0.0209897732833386 \tabularnewline
0.76 & 0.845739745873748 & 0.0215117293070809 \tabularnewline
0.77 & 0.850074739967461 & 0.0219258814614124 \tabularnewline
0.78 & 0.854535500311299 & 0.0221961637459893 \tabularnewline
0.79 & 0.85910558840157 & 0.0223064650194945 \tabularnewline
0.8 & 0.863771097649283 & 0.0222696422366849 \tabularnewline
0.81 & 0.868525180909278 & 0.0221295828868821 \tabularnewline
0.82 & 0.873371609499936 & 0.0219560146262739 \tabularnewline
0.83 & 0.878325948474573 & 0.0218316262012372 \tabularnewline
0.84 & 0.883413199485425 & 0.0218258725234019 \tabularnewline
0.85 & 0.888661500530425 & 0.0219640363436854 \tabularnewline
0.86 & 0.894092588006242 & 0.0222041258867797 \tabularnewline
0.87 & 0.899710943355617 & 0.022434470445158 \tabularnewline
0.88 & 0.905494465842069 & 0.0224975997543885 \tabularnewline
0.89 & 0.911389764072497 & 0.0222322620864812 \tabularnewline
0.9 & 0.917314560384678 & 0.0215159459960581 \tabularnewline
0.91 & 0.923168318274596 & 0.0202993033623211 \tabularnewline
0.92 & 0.928850226490062 & 0.0186196340502628 \tabularnewline
0.93 & 0.934281215251849 & 0.0166038562208559 \tabularnewline
0.94 & 0.939423658016652 & 0.0144515301017624 \tabularnewline
0.95 & 0.944288653676079 & 0.0123959306730119 \tabularnewline
0.96 & 0.948916513082605 & 0.0106191046049541 \tabularnewline
0.97 & 0.953314146943896 & 0.00914863097457607 \tabularnewline
0.98 & 0.957345758609892 & 0.00791125626788422 \tabularnewline
0.99 & 0.960628796396993 & 0.00699473284303188 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=68994&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]0.645106211143666[/C][C]0.00417448684701197[/C][/ROW]
[ROW][C]0.02[/C][C]0.647920699217857[/C][C]0.00831390011611612[/C][/ROW]
[ROW][C]0.03[/C][C]0.652244752513267[/C][C]0.0125295201145841[/C][/ROW]
[ROW][C]0.04[/C][C]0.657834633794122[/C][C]0.0161738313844694[/C][/ROW]
[ROW][C]0.05[/C][C]0.664348689198695[/C][C]0.0191030069292957[/C][/ROW]
[ROW][C]0.06[/C][C]0.671448177227764[/C][C]0.0213368527580764[/C][/ROW]
[ROW][C]0.07[/C][C]0.6788412637944[/C][C]0.0228969862042078[/C][/ROW]
[ROW][C]0.08[/C][C]0.686288685993315[/C][C]0.0237864375786834[/C][/ROW]
[ROW][C]0.09[/C][C]0.693594488876754[/C][C]0.0240062226181224[/C][/ROW]
[ROW][C]0.1[/C][C]0.700597067376317[/C][C]0.0235766415281228[/C][/ROW]
[ROW][C]0.11[/C][C]0.707165839058836[/C][C]0.0225572637401595[/C][/ROW]
[ROW][C]0.12[/C][C]0.713202610110728[/C][C]0.0210529878924593[/C][/ROW]
[ROW][C]0.13[/C][C]0.718644387557474[/C][C]0.0192107173497904[/C][/ROW]
[ROW][C]0.14[/C][C]0.723464583099018[/C][C]0.0171954062449918[/C][/ROW]
[ROW][C]0.15[/C][C]0.727670897132013[/C][C]0.0151645869520981[/C][/ROW]
[ROW][C]0.16[/C][C]0.731299746767155[/C][C]0.0132479923331110[/C][/ROW]
[ROW][C]0.17[/C][C]0.73440831455612[/C][C]0.0115347505728765[/C][/ROW]
[ROW][C]0.18[/C][C]0.737065846881128[/C][C]0.0100736408617231[/C][/ROW]
[ROW][C]0.19[/C][C]0.739345726567548[/C][C]0.0088779664593971[/C][/ROW]
[ROW][C]0.2[/C][C]0.741319312346654[/C][C]0.00793720839254302[/C][/ROW]
[ROW][C]0.21[/C][C]0.743051883419151[/C][C]0.00722853779328909[/C][/ROW]
[ROW][C]0.22[/C][C]0.74460049475774[/C][C]0.00672146969592985[/C][/ROW]
[ROW][C]0.23[/C][C]0.746013255163428[/C][C]0.00638641614181834[/C][/ROW]
[ROW][C]0.24[/C][C]0.747329482654225[/C][C]0.00619113175453814[/C][/ROW]
[ROW][C]0.25[/C][C]0.748580295329241[/C][C]0.00610778984866468[/C][/ROW]
[ROW][C]0.26[/C][C]0.749789365784406[/C][C]0.00610422377448143[/C][/ROW]
[ROW][C]0.27[/C][C]0.750973726484993[/C][C]0.00615154995167135[/C][/ROW]
[ROW][C]0.28[/C][C]0.752144618869569[/C][C]0.00622250876154133[/C][/ROW]
[ROW][C]0.29[/C][C]0.753308419901262[/C][C]0.00629465845328501[/C][/ROW]
[ROW][C]0.3[/C][C]0.754467668909012[/C][C]0.00635232179136859[/C][/ROW]
[ROW][C]0.31[/C][C]0.755622178381511[/C][C]0.00638590922976228[/C][/ROW]
[ROW][C]0.32[/C][C]0.756770168961227[/C][C]0.0063908330869518[/C][/ROW]
[ROW][C]0.33[/C][C]0.757909339244782[/C][C]0.00637219142184773[/C][/ROW]
[ROW][C]0.34[/C][C]0.759037774291461[/C][C]0.00633655789096589[/C][/ROW]
[ROW][C]0.35[/C][C]0.760154613535092[/C][C]0.00629650933053087[/C][/ROW]
[ROW][C]0.36[/C][C]0.76126043318295[/C][C]0.00626443594644127[/C][/ROW]
[ROW][C]0.37[/C][C]0.762357340748501[/C][C]0.00625070037916318[/C][/ROW]
[ROW][C]0.38[/C][C]0.763448820094658[/C][C]0.00626375812301758[/C][/ROW]
[ROW][C]0.39[/C][C]0.764539396032693[/C][C]0.00630874164439121[/C][/ROW]
[ROW][C]0.4[/C][C]0.765634203196604[/C][C]0.00638719122969768[/C][/ROW]
[ROW][C]0.41[/C][C]0.766738543522987[/C][C]0.00649616728287066[/C][/ROW]
[ROW][C]0.42[/C][C]0.767857502675353[/C][C]0.00663249025582351[/C][/ROW]
[ROW][C]0.43[/C][C]0.768995673116997[/C][C]0.00679038703546507[/C][/ROW]
[ROW][C]0.44[/C][C]0.770157006249222[/C][C]0.00696495468820957[/C][/ROW]
[ROW][C]0.45[/C][C]0.77134479358228[/C][C]0.00715149711251945[/C][/ROW]
[ROW][C]0.46[/C][C]0.77256176102945[/C][C]0.00734667013540873[/C][/ROW]
[ROW][C]0.47[/C][C]0.77381025238871[/C][C]0.00754930946321497[/C][/ROW]
[ROW][C]0.48[/C][C]0.77509247671846[/C][C]0.00775972199949052[/C][/ROW]
[ROW][C]0.49[/C][C]0.77641079663915[/C][C]0.00797891528044346[/C][/ROW]
[ROW][C]0.5[/C][C]0.777768036945272[/C][C]0.00820991891290892[/C][/ROW]
[ROW][C]0.51[/C][C]0.779167792259876[/C][C]0.0084593216994501[/C][/ROW]
[ROW][C]0.52[/C][C]0.780614707508866[/C][C]0.00873299624609523[/C][/ROW]
[ROW][C]0.53[/C][C]0.782114696786956[/C][C]0.00904018545639007[/C][/ROW]
[ROW][C]0.54[/C][C]0.783675058057955[/C][C]0.00938920240833695[/C][/ROW]
[ROW][C]0.55[/C][C]0.78530443787353[/C][C]0.0097906721767638[/C][/ROW]
[ROW][C]0.56[/C][C]0.78701260677968[/C][C]0.010252369463119[/C][/ROW]
[ROW][C]0.57[/C][C]0.788810025593413[/C][C]0.0107789441329612[/C][/ROW]
[ROW][C]0.58[/C][C]0.790707215450863[/C][C]0.0113674891870588[/C][/ROW]
[ROW][C]0.59[/C][C]0.79271398659988[/C][C]0.0120114803423498[/C][/ROW]
[ROW][C]0.6[/C][C]0.794838624494336[/C][C]0.012695783355796[/C][/ROW]
[ROW][C]0.61[/C][C]0.7970871662016[/C][C]0.0133993875421485[/C][/ROW]
[ROW][C]0.62[/C][C]0.799462914248086[/C][C]0.0141000587545272[/C][/ROW]
[ROW][C]0.63[/C][C]0.801966319906623[/C][C]0.0147745367526512[/C][/ROW]
[ROW][C]0.64[/C][C]0.804595319882153[/C][C]0.0154030340145401[/C][/ROW]
[ROW][C]0.65[/C][C]0.807346132998581[/C][C]0.0159725275899499[/C][/ROW]
[ROW][C]0.66[/C][C]0.810214428383893[/C][C]0.0164821164152594[/C][/ROW]
[ROW][C]0.67[/C][C]0.813196681987643[/C][C]0.0169406358485840[/C][/ROW]
[ROW][C]0.68[/C][C]0.816291465691682[/C][C]0.0173662838350766[/C][/ROW]
[ROW][C]0.69[/C][C]0.819500383356683[/C][C]0.0177838704961471[/C][/ROW]
[ROW][C]0.7[/C][C]0.822828395473537[/C][C]0.0182212437986783[/C][/ROW]
[ROW][C]0.71[/C][C]0.826283363200286[/C][C]0.0187004890926808[/C][/ROW]
[ROW][C]0.72[/C][C]0.829874785692297[/C][C]0.0192304586998937[/C][/ROW]
[ROW][C]0.73[/C][C]0.833611881719437[/C][C]0.0198069309259617[/C][/ROW]
[ROW][C]0.74[/C][C]0.837501347356276[/C][C]0.0204059110727989[/C][/ROW]
[ROW][C]0.75[/C][C]0.841545269032058[/C][C]0.0209897732833386[/C][/ROW]
[ROW][C]0.76[/C][C]0.845739745873748[/C][C]0.0215117293070809[/C][/ROW]
[ROW][C]0.77[/C][C]0.850074739967461[/C][C]0.0219258814614124[/C][/ROW]
[ROW][C]0.78[/C][C]0.854535500311299[/C][C]0.0221961637459893[/C][/ROW]
[ROW][C]0.79[/C][C]0.85910558840157[/C][C]0.0223064650194945[/C][/ROW]
[ROW][C]0.8[/C][C]0.863771097649283[/C][C]0.0222696422366849[/C][/ROW]
[ROW][C]0.81[/C][C]0.868525180909278[/C][C]0.0221295828868821[/C][/ROW]
[ROW][C]0.82[/C][C]0.873371609499936[/C][C]0.0219560146262739[/C][/ROW]
[ROW][C]0.83[/C][C]0.878325948474573[/C][C]0.0218316262012372[/C][/ROW]
[ROW][C]0.84[/C][C]0.883413199485425[/C][C]0.0218258725234019[/C][/ROW]
[ROW][C]0.85[/C][C]0.888661500530425[/C][C]0.0219640363436854[/C][/ROW]
[ROW][C]0.86[/C][C]0.894092588006242[/C][C]0.0222041258867797[/C][/ROW]
[ROW][C]0.87[/C][C]0.899710943355617[/C][C]0.022434470445158[/C][/ROW]
[ROW][C]0.88[/C][C]0.905494465842069[/C][C]0.0224975997543885[/C][/ROW]
[ROW][C]0.89[/C][C]0.911389764072497[/C][C]0.0222322620864812[/C][/ROW]
[ROW][C]0.9[/C][C]0.917314560384678[/C][C]0.0215159459960581[/C][/ROW]
[ROW][C]0.91[/C][C]0.923168318274596[/C][C]0.0202993033623211[/C][/ROW]
[ROW][C]0.92[/C][C]0.928850226490062[/C][C]0.0186196340502628[/C][/ROW]
[ROW][C]0.93[/C][C]0.934281215251849[/C][C]0.0166038562208559[/C][/ROW]
[ROW][C]0.94[/C][C]0.939423658016652[/C][C]0.0144515301017624[/C][/ROW]
[ROW][C]0.95[/C][C]0.944288653676079[/C][C]0.0123959306730119[/C][/ROW]
[ROW][C]0.96[/C][C]0.948916513082605[/C][C]0.0106191046049541[/C][/ROW]
[ROW][C]0.97[/C][C]0.953314146943896[/C][C]0.00914863097457607[/C][/ROW]
[ROW][C]0.98[/C][C]0.957345758609892[/C][C]0.00791125626788422[/C][/ROW]
[ROW][C]0.99[/C][C]0.960628796396993[/C][C]0.00699473284303188[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=68994&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68994&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
0.010.6451062111436660.00417448684701197
0.020.6479206992178570.00831390011611612
0.030.6522447525132670.0125295201145841
0.040.6578346337941220.0161738313844694
0.050.6643486891986950.0191030069292957
0.060.6714481772277640.0213368527580764
0.070.67884126379440.0228969862042078
0.080.6862886859933150.0237864375786834
0.090.6935944888767540.0240062226181224
0.10.7005970673763170.0235766415281228
0.110.7071658390588360.0225572637401595
0.120.7132026101107280.0210529878924593
0.130.7186443875574740.0192107173497904
0.140.7234645830990180.0171954062449918
0.150.7276708971320130.0151645869520981
0.160.7312997467671550.0132479923331110
0.170.734408314556120.0115347505728765
0.180.7370658468811280.0100736408617231
0.190.7393457265675480.0088779664593971
0.20.7413193123466540.00793720839254302
0.210.7430518834191510.00722853779328909
0.220.744600494757740.00672146969592985
0.230.7460132551634280.00638641614181834
0.240.7473294826542250.00619113175453814
0.250.7485802953292410.00610778984866468
0.260.7497893657844060.00610422377448143
0.270.7509737264849930.00615154995167135
0.280.7521446188695690.00622250876154133
0.290.7533084199012620.00629465845328501
0.30.7544676689090120.00635232179136859
0.310.7556221783815110.00638590922976228
0.320.7567701689612270.0063908330869518
0.330.7579093392447820.00637219142184773
0.340.7590377742914610.00633655789096589
0.350.7601546135350920.00629650933053087
0.360.761260433182950.00626443594644127
0.370.7623573407485010.00625070037916318
0.380.7634488200946580.00626375812301758
0.390.7645393960326930.00630874164439121
0.40.7656342031966040.00638719122969768
0.410.7667385435229870.00649616728287066
0.420.7678575026753530.00663249025582351
0.430.7689956731169970.00679038703546507
0.440.7701570062492220.00696495468820957
0.450.771344793582280.00715149711251945
0.460.772561761029450.00734667013540873
0.470.773810252388710.00754930946321497
0.480.775092476718460.00775972199949052
0.490.776410796639150.00797891528044346
0.50.7777680369452720.00820991891290892
0.510.7791677922598760.0084593216994501
0.520.7806147075088660.00873299624609523
0.530.7821146967869560.00904018545639007
0.540.7836750580579550.00938920240833695
0.550.785304437873530.0097906721767638
0.560.787012606779680.010252369463119
0.570.7888100255934130.0107789441329612
0.580.7907072154508630.0113674891870588
0.590.792713986599880.0120114803423498
0.60.7948386244943360.012695783355796
0.610.79708716620160.0133993875421485
0.620.7994629142480860.0141000587545272
0.630.8019663199066230.0147745367526512
0.640.8045953198821530.0154030340145401
0.650.8073461329985810.0159725275899499
0.660.8102144283838930.0164821164152594
0.670.8131966819876430.0169406358485840
0.680.8162914656916820.0173662838350766
0.690.8195003833566830.0177838704961471
0.70.8228283954735370.0182212437986783
0.710.8262833632002860.0187004890926808
0.720.8298747856922970.0192304586998937
0.730.8336118817194370.0198069309259617
0.740.8375013473562760.0204059110727989
0.750.8415452690320580.0209897732833386
0.760.8457397458737480.0215117293070809
0.770.8500747399674610.0219258814614124
0.780.8545355003112990.0221961637459893
0.790.859105588401570.0223064650194945
0.80.8637710976492830.0222696422366849
0.810.8685251809092780.0221295828868821
0.820.8733716094999360.0219560146262739
0.830.8783259484745730.0218316262012372
0.840.8834131994854250.0218258725234019
0.850.8886615005304250.0219640363436854
0.860.8940925880062420.0222041258867797
0.870.8997109433556170.022434470445158
0.880.9054944658420690.0224975997543885
0.890.9113897640724970.0222322620864812
0.90.9173145603846780.0215159459960581
0.910.9231683182745960.0202993033623211
0.920.9288502264900620.0186196340502628
0.930.9342812152518490.0166038562208559
0.940.9394236580166520.0144515301017624
0.950.9442886536760790.0123959306730119
0.960.9489165130826050.0106191046049541
0.970.9533141469438960.00914863097457607
0.980.9573457586098920.00791125626788422
0.990.9606287963969930.00699473284303188



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')