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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 02 Oct 2013 09:27:43 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/02/t1380720610611diujcoj2mezs.htm/, Retrieved Sun, 28 Apr 2024 09:29:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212692, Retrieved Sun, 28 Apr 2024 09:29:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact72

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] [] [2013-10-02 13:27:43] [a0fdb281759790a4896cd836cbe89967] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.69
0.69
0.68
0.66
0.65
0.65
0.65
0.65
0.65
0.66
0.68
0.72
0.73
0.75
0.69
0.65
0.64
0.64
0.64
0.64
0.65
0.65
0.67
0.7
0.69
0.7
0.71
0.69
0.69
0.69
0.69
0.69
0.7
0.7
0.7
0.74
0.72
0.74
0.69
0.66
0.66
0.66
0.66
0.66
0.66
0.67
0.7
0.72
0.71
0.7
0.71
0.67
0.7
0.69
0.69
0.69
0.69
0.69
0.71
0.75
0.74
0.75
0.72
0.64
0.65
0.64
0.64
0.64
0.64
0.65
0.66
0.7
0.68
0.69
0.68
0.67
0.68
0.68
0.68
0.68
0.68
0.7
0.69
0.75

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=212692&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=212692&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212692&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
0.010.6400004598453862.35136357516937e-06
0.020.6400043509541862.01545449300232e-05
0.030.640022141333378.85120431510184e-05
0.040.6400789078062610.000269902947521227
0.050.6402190774588010.000636189431596418
0.060.640502376699090.00122633698881393
0.070.6409879009663110.00200368696403957
0.080.6417108991870320.00284461555163293
0.090.6426633487337810.00357332867723296
0.10.6437892064849610.00403034139921671
0.110.6449979589724940.00413336423262128
0.120.6461907090805520.00390423860388702
0.130.6472875329228610.00345414789460942
0.140.648245795146630.00293961792264855
0.150.6490646632562820.0025208700501816
0.160.6497772581290190.0023240322879713
0.170.6504356756507460.00239879147509501
0.180.6510947624742290.0026988866082897
0.190.6517990412727780.00312483553280408
0.20.6525750244933050.00357660053561995
0.210.6534293065264130.00397368931210786
0.220.6543515795904280.00426096806889942
0.230.6553209908603370.00441867674304833
0.240.6563139128485430.00446052439943835
0.250.6573111946382860.00443194962262046
0.260.658303304955640.00439877589393217
0.270.659292423221680.00442877167281538
0.280.6602913372487730.00457439636776792
0.290.6613197596621480.00485532507307685
0.30.6623991911829520.00525423548953528
0.310.6635476367085390.00572710669943704
0.320.664775329942690.00621469207154811
0.330.6660822422259180.00665884808983943
0.340.6674576773362870.00700672416326473
0.350.6688818108801180.00722085501043486
0.360.6703287020965890.00728243388321696
0.370.6717701189930090.00719111829123617
0.380.6731794675713810.00696645755555628
0.390.6745351759180320.0066430250245908
0.40.6758230245765950.00626419847514231
0.410.6770371110687640.00587782667382917
0.420.6781793670037610.00552572925474617
0.430.6792577862560450.00523994930834022
0.440.6802837399292540.00503331019421806
0.450.6812689101251790.00489838147211573
0.460.6822224346979180.00480917534637385
0.470.6831487994426310.00472940801033414
0.480.6840468486235420.0046217508310577
0.490.6849100441251590.00445503611550452
0.50.6857278440604270.00421257823098763
0.510.6864878557444520.00389058118162269
0.520.6871782955796620.00349967331250576
0.530.6877902824326970.00306269645659905
0.540.6883195910828870.00260867418221715
0.550.6887676593209310.00216940804726165
0.560.6891418223680910.00177563654207126
0.570.6894548901743260.00145611156417675
0.580.6897242537615760.00123743041788086
0.590.6899707001399320.00114468121396958
0.60.6902170525015920.00119251213470657
0.610.690486673001080.00137631672514502
0.620.6908018135659570.00167379287670627
0.630.6911818088818920.00205764000802895
0.640.6916411842025450.00249571007638355
0.650.6921878784421520.00294958747763264
0.660.6928219132899570.0033774587012541
0.670.6935349118957350.00373682077569887
0.680.6943108331716070.00399067842462359
0.690.6951281154610240.00411572048560464
0.70.6959631346974090.00410738579971223
0.710.69679453988710.00398251207616831
0.720.6976077254860740.00378239314751583
0.730.6983985326866840.00356613468021571
0.740.6991753109566660.0034049123908361
0.750.6999587390730040.00336865164166572
0.760.7007792616681980.00350548116865692
0.770.7016725449939160.00382467332261183
0.780.7026738575789470.00429349255745718
0.790.7038125988470980.00485601105667539
0.80.7051082382318840.00544820631866194
0.810.7065686807644590.00601194874370829
0.820.7081916183503440.00650440615881602
0.830.7099688537022730.0069054313412321
0.840.7118929115134740.00722404651027549
0.850.7139643918599430.00749839826775235
0.860.7161974645248820.00779050577908712
0.870.7186200821057890.00816754298235497
0.880.7212659862926440.00865663365299891
0.890.7241585916738920.00920094679902886
0.90.7272921183046580.00965243518156367
0.910.7306196389779730.00982548580298399
0.920.7340555156635410.00959591138854869
0.930.7374886049416780.00896941638351724
0.940.7407904780989810.0080407408054947
0.950.7438070377812990.00685141307812656
0.960.7463505072540660.00532806573051546
0.970.7482355309969360.00348539132211661
0.980.7493765187202390.00167809139196433
0.990.7498774590008670.000447399867044567

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.640000459845386 & 2.35136357516937e-06 \tabularnewline
0.02 & 0.640004350954186 & 2.01545449300232e-05 \tabularnewline
0.03 & 0.64002214133337 & 8.85120431510184e-05 \tabularnewline
0.04 & 0.640078907806261 & 0.000269902947521227 \tabularnewline
0.05 & 0.640219077458801 & 0.000636189431596418 \tabularnewline
0.06 & 0.64050237669909 & 0.00122633698881393 \tabularnewline
0.07 & 0.640987900966311 & 0.00200368696403957 \tabularnewline
0.08 & 0.641710899187032 & 0.00284461555163293 \tabularnewline
0.09 & 0.642663348733781 & 0.00357332867723296 \tabularnewline
0.1 & 0.643789206484961 & 0.00403034139921671 \tabularnewline
0.11 & 0.644997958972494 & 0.00413336423262128 \tabularnewline
0.12 & 0.646190709080552 & 0.00390423860388702 \tabularnewline
0.13 & 0.647287532922861 & 0.00345414789460942 \tabularnewline
0.14 & 0.64824579514663 & 0.00293961792264855 \tabularnewline
0.15 & 0.649064663256282 & 0.0025208700501816 \tabularnewline
0.16 & 0.649777258129019 & 0.0023240322879713 \tabularnewline
0.17 & 0.650435675650746 & 0.00239879147509501 \tabularnewline
0.18 & 0.651094762474229 & 0.0026988866082897 \tabularnewline
0.19 & 0.651799041272778 & 0.00312483553280408 \tabularnewline
0.2 & 0.652575024493305 & 0.00357660053561995 \tabularnewline
0.21 & 0.653429306526413 & 0.00397368931210786 \tabularnewline
0.22 & 0.654351579590428 & 0.00426096806889942 \tabularnewline
0.23 & 0.655320990860337 & 0.00441867674304833 \tabularnewline
0.24 & 0.656313912848543 & 0.00446052439943835 \tabularnewline
0.25 & 0.657311194638286 & 0.00443194962262046 \tabularnewline
0.26 & 0.65830330495564 & 0.00439877589393217 \tabularnewline
0.27 & 0.65929242322168 & 0.00442877167281538 \tabularnewline
0.28 & 0.660291337248773 & 0.00457439636776792 \tabularnewline
0.29 & 0.661319759662148 & 0.00485532507307685 \tabularnewline
0.3 & 0.662399191182952 & 0.00525423548953528 \tabularnewline
0.31 & 0.663547636708539 & 0.00572710669943704 \tabularnewline
0.32 & 0.66477532994269 & 0.00621469207154811 \tabularnewline
0.33 & 0.666082242225918 & 0.00665884808983943 \tabularnewline
0.34 & 0.667457677336287 & 0.00700672416326473 \tabularnewline
0.35 & 0.668881810880118 & 0.00722085501043486 \tabularnewline
0.36 & 0.670328702096589 & 0.00728243388321696 \tabularnewline
0.37 & 0.671770118993009 & 0.00719111829123617 \tabularnewline
0.38 & 0.673179467571381 & 0.00696645755555628 \tabularnewline
0.39 & 0.674535175918032 & 0.0066430250245908 \tabularnewline
0.4 & 0.675823024576595 & 0.00626419847514231 \tabularnewline
0.41 & 0.677037111068764 & 0.00587782667382917 \tabularnewline
0.42 & 0.678179367003761 & 0.00552572925474617 \tabularnewline
0.43 & 0.679257786256045 & 0.00523994930834022 \tabularnewline
0.44 & 0.680283739929254 & 0.00503331019421806 \tabularnewline
0.45 & 0.681268910125179 & 0.00489838147211573 \tabularnewline
0.46 & 0.682222434697918 & 0.00480917534637385 \tabularnewline
0.47 & 0.683148799442631 & 0.00472940801033414 \tabularnewline
0.48 & 0.684046848623542 & 0.0046217508310577 \tabularnewline
0.49 & 0.684910044125159 & 0.00445503611550452 \tabularnewline
0.5 & 0.685727844060427 & 0.00421257823098763 \tabularnewline
0.51 & 0.686487855744452 & 0.00389058118162269 \tabularnewline
0.52 & 0.687178295579662 & 0.00349967331250576 \tabularnewline
0.53 & 0.687790282432697 & 0.00306269645659905 \tabularnewline
0.54 & 0.688319591082887 & 0.00260867418221715 \tabularnewline
0.55 & 0.688767659320931 & 0.00216940804726165 \tabularnewline
0.56 & 0.689141822368091 & 0.00177563654207126 \tabularnewline
0.57 & 0.689454890174326 & 0.00145611156417675 \tabularnewline
0.58 & 0.689724253761576 & 0.00123743041788086 \tabularnewline
0.59 & 0.689970700139932 & 0.00114468121396958 \tabularnewline
0.6 & 0.690217052501592 & 0.00119251213470657 \tabularnewline
0.61 & 0.69048667300108 & 0.00137631672514502 \tabularnewline
0.62 & 0.690801813565957 & 0.00167379287670627 \tabularnewline
0.63 & 0.691181808881892 & 0.00205764000802895 \tabularnewline
0.64 & 0.691641184202545 & 0.00249571007638355 \tabularnewline
0.65 & 0.692187878442152 & 0.00294958747763264 \tabularnewline
0.66 & 0.692821913289957 & 0.0033774587012541 \tabularnewline
0.67 & 0.693534911895735 & 0.00373682077569887 \tabularnewline
0.68 & 0.694310833171607 & 0.00399067842462359 \tabularnewline
0.69 & 0.695128115461024 & 0.00411572048560464 \tabularnewline
0.7 & 0.695963134697409 & 0.00410738579971223 \tabularnewline
0.71 & 0.6967945398871 & 0.00398251207616831 \tabularnewline
0.72 & 0.697607725486074 & 0.00378239314751583 \tabularnewline
0.73 & 0.698398532686684 & 0.00356613468021571 \tabularnewline
0.74 & 0.699175310956666 & 0.0034049123908361 \tabularnewline
0.75 & 0.699958739073004 & 0.00336865164166572 \tabularnewline
0.76 & 0.700779261668198 & 0.00350548116865692 \tabularnewline
0.77 & 0.701672544993916 & 0.00382467332261183 \tabularnewline
0.78 & 0.702673857578947 & 0.00429349255745718 \tabularnewline
0.79 & 0.703812598847098 & 0.00485601105667539 \tabularnewline
0.8 & 0.705108238231884 & 0.00544820631866194 \tabularnewline
0.81 & 0.706568680764459 & 0.00601194874370829 \tabularnewline
0.82 & 0.708191618350344 & 0.00650440615881602 \tabularnewline
0.83 & 0.709968853702273 & 0.0069054313412321 \tabularnewline
0.84 & 0.711892911513474 & 0.00722404651027549 \tabularnewline
0.85 & 0.713964391859943 & 0.00749839826775235 \tabularnewline
0.86 & 0.716197464524882 & 0.00779050577908712 \tabularnewline
0.87 & 0.718620082105789 & 0.00816754298235497 \tabularnewline
0.88 & 0.721265986292644 & 0.00865663365299891 \tabularnewline
0.89 & 0.724158591673892 & 0.00920094679902886 \tabularnewline
0.9 & 0.727292118304658 & 0.00965243518156367 \tabularnewline
0.91 & 0.730619638977973 & 0.00982548580298399 \tabularnewline
0.92 & 0.734055515663541 & 0.00959591138854869 \tabularnewline
0.93 & 0.737488604941678 & 0.00896941638351724 \tabularnewline
0.94 & 0.740790478098981 & 0.0080407408054947 \tabularnewline
0.95 & 0.743807037781299 & 0.00685141307812656 \tabularnewline
0.96 & 0.746350507254066 & 0.00532806573051546 \tabularnewline
0.97 & 0.748235530996936 & 0.00348539132211661 \tabularnewline
0.98 & 0.749376518720239 & 0.00167809139196433 \tabularnewline
0.99 & 0.749877459000867 & 0.000447399867044567 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212692&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]0.640000459845386[/C][C]2.35136357516937e-06[/C][/ROW]
[ROW][C]0.02[/C][C]0.640004350954186[/C][C]2.01545449300232e-05[/C][/ROW]
[ROW][C]0.03[/C][C]0.64002214133337[/C][C]8.85120431510184e-05[/C][/ROW]
[ROW][C]0.04[/C][C]0.640078907806261[/C][C]0.000269902947521227[/C][/ROW]
[ROW][C]0.05[/C][C]0.640219077458801[/C][C]0.000636189431596418[/C][/ROW]
[ROW][C]0.06[/C][C]0.64050237669909[/C][C]0.00122633698881393[/C][/ROW]
[ROW][C]0.07[/C][C]0.640987900966311[/C][C]0.00200368696403957[/C][/ROW]
[ROW][C]0.08[/C][C]0.641710899187032[/C][C]0.00284461555163293[/C][/ROW]
[ROW][C]0.09[/C][C]0.642663348733781[/C][C]0.00357332867723296[/C][/ROW]
[ROW][C]0.1[/C][C]0.643789206484961[/C][C]0.00403034139921671[/C][/ROW]
[ROW][C]0.11[/C][C]0.644997958972494[/C][C]0.00413336423262128[/C][/ROW]
[ROW][C]0.12[/C][C]0.646190709080552[/C][C]0.00390423860388702[/C][/ROW]
[ROW][C]0.13[/C][C]0.647287532922861[/C][C]0.00345414789460942[/C][/ROW]
[ROW][C]0.14[/C][C]0.64824579514663[/C][C]0.00293961792264855[/C][/ROW]
[ROW][C]0.15[/C][C]0.649064663256282[/C][C]0.0025208700501816[/C][/ROW]
[ROW][C]0.16[/C][C]0.649777258129019[/C][C]0.0023240322879713[/C][/ROW]
[ROW][C]0.17[/C][C]0.650435675650746[/C][C]0.00239879147509501[/C][/ROW]
[ROW][C]0.18[/C][C]0.651094762474229[/C][C]0.0026988866082897[/C][/ROW]
[ROW][C]0.19[/C][C]0.651799041272778[/C][C]0.00312483553280408[/C][/ROW]
[ROW][C]0.2[/C][C]0.652575024493305[/C][C]0.00357660053561995[/C][/ROW]
[ROW][C]0.21[/C][C]0.653429306526413[/C][C]0.00397368931210786[/C][/ROW]
[ROW][C]0.22[/C][C]0.654351579590428[/C][C]0.00426096806889942[/C][/ROW]
[ROW][C]0.23[/C][C]0.655320990860337[/C][C]0.00441867674304833[/C][/ROW]
[ROW][C]0.24[/C][C]0.656313912848543[/C][C]0.00446052439943835[/C][/ROW]
[ROW][C]0.25[/C][C]0.657311194638286[/C][C]0.00443194962262046[/C][/ROW]
[ROW][C]0.26[/C][C]0.65830330495564[/C][C]0.00439877589393217[/C][/ROW]
[ROW][C]0.27[/C][C]0.65929242322168[/C][C]0.00442877167281538[/C][/ROW]
[ROW][C]0.28[/C][C]0.660291337248773[/C][C]0.00457439636776792[/C][/ROW]
[ROW][C]0.29[/C][C]0.661319759662148[/C][C]0.00485532507307685[/C][/ROW]
[ROW][C]0.3[/C][C]0.662399191182952[/C][C]0.00525423548953528[/C][/ROW]
[ROW][C]0.31[/C][C]0.663547636708539[/C][C]0.00572710669943704[/C][/ROW]
[ROW][C]0.32[/C][C]0.66477532994269[/C][C]0.00621469207154811[/C][/ROW]
[ROW][C]0.33[/C][C]0.666082242225918[/C][C]0.00665884808983943[/C][/ROW]
[ROW][C]0.34[/C][C]0.667457677336287[/C][C]0.00700672416326473[/C][/ROW]
[ROW][C]0.35[/C][C]0.668881810880118[/C][C]0.00722085501043486[/C][/ROW]
[ROW][C]0.36[/C][C]0.670328702096589[/C][C]0.00728243388321696[/C][/ROW]
[ROW][C]0.37[/C][C]0.671770118993009[/C][C]0.00719111829123617[/C][/ROW]
[ROW][C]0.38[/C][C]0.673179467571381[/C][C]0.00696645755555628[/C][/ROW]
[ROW][C]0.39[/C][C]0.674535175918032[/C][C]0.0066430250245908[/C][/ROW]
[ROW][C]0.4[/C][C]0.675823024576595[/C][C]0.00626419847514231[/C][/ROW]
[ROW][C]0.41[/C][C]0.677037111068764[/C][C]0.00587782667382917[/C][/ROW]
[ROW][C]0.42[/C][C]0.678179367003761[/C][C]0.00552572925474617[/C][/ROW]
[ROW][C]0.43[/C][C]0.679257786256045[/C][C]0.00523994930834022[/C][/ROW]
[ROW][C]0.44[/C][C]0.680283739929254[/C][C]0.00503331019421806[/C][/ROW]
[ROW][C]0.45[/C][C]0.681268910125179[/C][C]0.00489838147211573[/C][/ROW]
[ROW][C]0.46[/C][C]0.682222434697918[/C][C]0.00480917534637385[/C][/ROW]
[ROW][C]0.47[/C][C]0.683148799442631[/C][C]0.00472940801033414[/C][/ROW]
[ROW][C]0.48[/C][C]0.684046848623542[/C][C]0.0046217508310577[/C][/ROW]
[ROW][C]0.49[/C][C]0.684910044125159[/C][C]0.00445503611550452[/C][/ROW]
[ROW][C]0.5[/C][C]0.685727844060427[/C][C]0.00421257823098763[/C][/ROW]
[ROW][C]0.51[/C][C]0.686487855744452[/C][C]0.00389058118162269[/C][/ROW]
[ROW][C]0.52[/C][C]0.687178295579662[/C][C]0.00349967331250576[/C][/ROW]
[ROW][C]0.53[/C][C]0.687790282432697[/C][C]0.00306269645659905[/C][/ROW]
[ROW][C]0.54[/C][C]0.688319591082887[/C][C]0.00260867418221715[/C][/ROW]
[ROW][C]0.55[/C][C]0.688767659320931[/C][C]0.00216940804726165[/C][/ROW]
[ROW][C]0.56[/C][C]0.689141822368091[/C][C]0.00177563654207126[/C][/ROW]
[ROW][C]0.57[/C][C]0.689454890174326[/C][C]0.00145611156417675[/C][/ROW]
[ROW][C]0.58[/C][C]0.689724253761576[/C][C]0.00123743041788086[/C][/ROW]
[ROW][C]0.59[/C][C]0.689970700139932[/C][C]0.00114468121396958[/C][/ROW]
[ROW][C]0.6[/C][C]0.690217052501592[/C][C]0.00119251213470657[/C][/ROW]
[ROW][C]0.61[/C][C]0.69048667300108[/C][C]0.00137631672514502[/C][/ROW]
[ROW][C]0.62[/C][C]0.690801813565957[/C][C]0.00167379287670627[/C][/ROW]
[ROW][C]0.63[/C][C]0.691181808881892[/C][C]0.00205764000802895[/C][/ROW]
[ROW][C]0.64[/C][C]0.691641184202545[/C][C]0.00249571007638355[/C][/ROW]
[ROW][C]0.65[/C][C]0.692187878442152[/C][C]0.00294958747763264[/C][/ROW]
[ROW][C]0.66[/C][C]0.692821913289957[/C][C]0.0033774587012541[/C][/ROW]
[ROW][C]0.67[/C][C]0.693534911895735[/C][C]0.00373682077569887[/C][/ROW]
[ROW][C]0.68[/C][C]0.694310833171607[/C][C]0.00399067842462359[/C][/ROW]
[ROW][C]0.69[/C][C]0.695128115461024[/C][C]0.00411572048560464[/C][/ROW]
[ROW][C]0.7[/C][C]0.695963134697409[/C][C]0.00410738579971223[/C][/ROW]
[ROW][C]0.71[/C][C]0.6967945398871[/C][C]0.00398251207616831[/C][/ROW]
[ROW][C]0.72[/C][C]0.697607725486074[/C][C]0.00378239314751583[/C][/ROW]
[ROW][C]0.73[/C][C]0.698398532686684[/C][C]0.00356613468021571[/C][/ROW]
[ROW][C]0.74[/C][C]0.699175310956666[/C][C]0.0034049123908361[/C][/ROW]
[ROW][C]0.75[/C][C]0.699958739073004[/C][C]0.00336865164166572[/C][/ROW]
[ROW][C]0.76[/C][C]0.700779261668198[/C][C]0.00350548116865692[/C][/ROW]
[ROW][C]0.77[/C][C]0.701672544993916[/C][C]0.00382467332261183[/C][/ROW]
[ROW][C]0.78[/C][C]0.702673857578947[/C][C]0.00429349255745718[/C][/ROW]
[ROW][C]0.79[/C][C]0.703812598847098[/C][C]0.00485601105667539[/C][/ROW]
[ROW][C]0.8[/C][C]0.705108238231884[/C][C]0.00544820631866194[/C][/ROW]
[ROW][C]0.81[/C][C]0.706568680764459[/C][C]0.00601194874370829[/C][/ROW]
[ROW][C]0.82[/C][C]0.708191618350344[/C][C]0.00650440615881602[/C][/ROW]
[ROW][C]0.83[/C][C]0.709968853702273[/C][C]0.0069054313412321[/C][/ROW]
[ROW][C]0.84[/C][C]0.711892911513474[/C][C]0.00722404651027549[/C][/ROW]
[ROW][C]0.85[/C][C]0.713964391859943[/C][C]0.00749839826775235[/C][/ROW]
[ROW][C]0.86[/C][C]0.716197464524882[/C][C]0.00779050577908712[/C][/ROW]
[ROW][C]0.87[/C][C]0.718620082105789[/C][C]0.00816754298235497[/C][/ROW]
[ROW][C]0.88[/C][C]0.721265986292644[/C][C]0.00865663365299891[/C][/ROW]
[ROW][C]0.89[/C][C]0.724158591673892[/C][C]0.00920094679902886[/C][/ROW]
[ROW][C]0.9[/C][C]0.727292118304658[/C][C]0.00965243518156367[/C][/ROW]
[ROW][C]0.91[/C][C]0.730619638977973[/C][C]0.00982548580298399[/C][/ROW]
[ROW][C]0.92[/C][C]0.734055515663541[/C][C]0.00959591138854869[/C][/ROW]
[ROW][C]0.93[/C][C]0.737488604941678[/C][C]0.00896941638351724[/C][/ROW]
[ROW][C]0.94[/C][C]0.740790478098981[/C][C]0.0080407408054947[/C][/ROW]
[ROW][C]0.95[/C][C]0.743807037781299[/C][C]0.00685141307812656[/C][/ROW]
[ROW][C]0.96[/C][C]0.746350507254066[/C][C]0.00532806573051546[/C][/ROW]
[ROW][C]0.97[/C][C]0.748235530996936[/C][C]0.00348539132211661[/C][/ROW]
[ROW][C]0.98[/C][C]0.749376518720239[/C][C]0.00167809139196433[/C][/ROW]
[ROW][C]0.99[/C][C]0.749877459000867[/C][C]0.000447399867044567[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212692&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212692&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
0.010.6400004598453862.35136357516937e-06
0.020.6400043509541862.01545449300232e-05
0.030.640022141333378.85120431510184e-05
0.040.6400789078062610.000269902947521227
0.050.6402190774588010.000636189431596418
0.060.640502376699090.00122633698881393
0.070.6409879009663110.00200368696403957
0.080.6417108991870320.00284461555163293
0.090.6426633487337810.00357332867723296
0.10.6437892064849610.00403034139921671
0.110.6449979589724940.00413336423262128
0.120.6461907090805520.00390423860388702
0.130.6472875329228610.00345414789460942
0.140.648245795146630.00293961792264855
0.150.6490646632562820.0025208700501816
0.160.6497772581290190.0023240322879713
0.170.6504356756507460.00239879147509501
0.180.6510947624742290.0026988866082897
0.190.6517990412727780.00312483553280408
0.20.6525750244933050.00357660053561995
0.210.6534293065264130.00397368931210786
0.220.6543515795904280.00426096806889942
0.230.6553209908603370.00441867674304833
0.240.6563139128485430.00446052439943835
0.250.6573111946382860.00443194962262046
0.260.658303304955640.00439877589393217
0.270.659292423221680.00442877167281538
0.280.6602913372487730.00457439636776792
0.290.6613197596621480.00485532507307685
0.30.6623991911829520.00525423548953528
0.310.6635476367085390.00572710669943704
0.320.664775329942690.00621469207154811
0.330.6660822422259180.00665884808983943
0.340.6674576773362870.00700672416326473
0.350.6688818108801180.00722085501043486
0.360.6703287020965890.00728243388321696
0.370.6717701189930090.00719111829123617
0.380.6731794675713810.00696645755555628
0.390.6745351759180320.0066430250245908
0.40.6758230245765950.00626419847514231
0.410.6770371110687640.00587782667382917
0.420.6781793670037610.00552572925474617
0.430.6792577862560450.00523994930834022
0.440.6802837399292540.00503331019421806
0.450.6812689101251790.00489838147211573
0.460.6822224346979180.00480917534637385
0.470.6831487994426310.00472940801033414
0.480.6840468486235420.0046217508310577
0.490.6849100441251590.00445503611550452
0.50.6857278440604270.00421257823098763
0.510.6864878557444520.00389058118162269
0.520.6871782955796620.00349967331250576
0.530.6877902824326970.00306269645659905
0.540.6883195910828870.00260867418221715
0.550.6887676593209310.00216940804726165
0.560.6891418223680910.00177563654207126
0.570.6894548901743260.00145611156417675
0.580.6897242537615760.00123743041788086
0.590.6899707001399320.00114468121396958
0.60.6902170525015920.00119251213470657
0.610.690486673001080.00137631672514502
0.620.6908018135659570.00167379287670627
0.630.6911818088818920.00205764000802895
0.640.6916411842025450.00249571007638355
0.650.6921878784421520.00294958747763264
0.660.6928219132899570.0033774587012541
0.670.6935349118957350.00373682077569887
0.680.6943108331716070.00399067842462359
0.690.6951281154610240.00411572048560464
0.70.6959631346974090.00410738579971223
0.710.69679453988710.00398251207616831
0.720.6976077254860740.00378239314751583
0.730.6983985326866840.00356613468021571
0.740.6991753109566660.0034049123908361
0.750.6999587390730040.00336865164166572
0.760.7007792616681980.00350548116865692
0.770.7016725449939160.00382467332261183
0.780.7026738575789470.00429349255745718
0.790.7038125988470980.00485601105667539
0.80.7051082382318840.00544820631866194
0.810.7065686807644590.00601194874370829
0.820.7081916183503440.00650440615881602
0.830.7099688537022730.0069054313412321
0.840.7118929115134740.00722404651027549
0.850.7139643918599430.00749839826775235
0.860.7161974645248820.00779050577908712
0.870.7186200821057890.00816754298235497
0.880.7212659862926440.00865663365299891
0.890.7241585916738920.00920094679902886
0.90.7272921183046580.00965243518156367
0.910.7306196389779730.00982548580298399
0.920.7340555156635410.00959591138854869
0.930.7374886049416780.00896941638351724
0.940.7407904780989810.0080407408054947
0.950.7438070377812990.00685141307812656
0.960.7463505072540660.00532806573051546
0.970.7482355309969360.00348539132211661
0.980.7493765187202390.00167809139196433
0.990.7498774590008670.000447399867044567


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')