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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 01 Mar 2008 04:49:37 -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/2008/Mar/01/t1204372269eejrf04tnjfpv8o.htm/, Retrieved Sat, 18 May 2024 04:05:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9331, Retrieved Sat, 18 May 2024 04:05:59 +0000
QR Codes:

Original text written by user:opgave 4 oef 2
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact226
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Harrel-Davis perc...] [2008-03-01 11:49:37] [f67a51b398175e73046faa38adf770f9] [Current]
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Dataseries X:
4.07
4.08
4.09
4.08
4.09
4.12
4.14
4.14
4.14
4.14
4.14
4.23
4.29
4.32
4.33
4.35
4.35
4.35
4.35
4.36
4.36
4.38
4.4
4.4
4.4
4.43
4.44
4.46
4.47
4.49
4.49
4.57
4.62
4.64
4.66
4.67
4.68
4.72
4.74
4.75
4.76
4.77
4.76
4.77
4.77
4.78
4.81
4.81
4.85
4.92
4.96
4.95
4.96
4.97
5
5
5.01
5.01
5.02
5.04
5.04
5.19
5.22
5.22
5.22
5.24
5.28
5.34
5.36
5.38
5.39
5.41
5.44
5.51
5.55
5.56
5.57
5.58
5.58
5.59
5.61
5.63
5.64
5.64




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9331&T=0

[TABLE]
[ROW][C]Summary of compuational 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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9331&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9331&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Harrell-Davis Quantiles
quantilesvaluestandard error
0.014.07349593003120.00794832234132237
0.024.078693308287370.0078863723388071
0.034.084600768697370.0114685626360425
0.044.091514566818620.0165804767810860
0.054.09975780468360.0213310736862505
0.064.109204463217060.0249588175756138
0.074.119554923079820.0280341351800447
0.084.130719660169730.0321881617792853
0.094.142977312251090.0388974967293505
0.14.15685278833660.0482434015833147
0.114.17282442098780.0588553685297375
0.124.191033798941810.0686823035535201
0.134.211138989456240.075769656200603
0.144.232359683071030.0788386473178777
0.154.253671079611330.0775808658679186
0.164.274053856316860.0726053640150774
0.174.292708756904740.0651542652399613
0.184.309179656063510.0567009440793698
0.194.323373516948650.0486283713172958
0.24.335499888416390.0419733967824573
0.214.345968127026060.0373603621435557
0.224.35527910868110.0349770644713039
0.234.363936817307430.0346527831343604
0.244.372391263522110.0359910111517871
0.254.381012677476210.0385914027310627
0.264.390089853278490.0421375358034206
0.274.399842761632870.046428917577918
0.284.410439940949870.0513483961677028
0.294.422013403177680.0568312892286815
0.34.434666767870810.0628076476956494
0.314.448475320595390.0691391746527203
0.324.463479211710980.0756513171598189
0.334.479672788906830.0820620633843682
0.344.496993936863610.0880200236836102
0.354.515317234440680.093179221149494
0.364.534453817728740.0971938687550688
0.374.554159293594870.0997798501472692
0.384.574149261390950.100780338966603
0.394.594120416142820.100148104139022
0.44.613774214575120.0979735046073088
0.414.632839892223060.0944702848675986
0.424.651094176652750.0899210969700494
0.434.668376066265660.0846734567217513
0.444.684596133891750.0791132751532729
0.454.699740604158490.0736223709104577
0.464.713870750788620.0685733219771506
0.474.727118003280080.0643266030690199
0.484.739674775811930.061215889616901
0.494.751780754514570.059491064314896
0.54.763704474023330.0593058369531475
0.514.775720596557350.060663948352948
0.524.788084291453460.0633822408339518
0.534.801005238632550.0670822498181728
0.544.814624689458850.0713003644626122
0.554.828999371174050.075513338921284
0.564.844095595019980.0792042914300755
0.574.859795693971710.0819382682908768
0.584.875917054917190.0834276296979652
0.594.892241872204150.0835548933976045
0.64.908553763149170.0824275770661673
0.614.924675947660890.0803355061610855
0.624.940505075534650.0777596916520938
0.634.956035092115760.0752887555840269
0.644.971366723215260.0735584377625941
0.654.986700095939170.0731173221018231
0.665.002310505956190.0743567911310559
0.675.018510151399530.0773665551731248
0.685.035601425144080.0819191465426595
0.695.053829567515840.0875251511721034
0.75.073343467128510.0935029844263653
0.715.09417253769350.0991319683441853
0.725.11622463462730.103768130793537
0.735.139305330192610.106984845021374
0.745.163153748577010.108568711569472
0.755.187486276083670.108596780315455
0.765.212038318735050.107321122638280
0.775.23659638217390.105124883152313
0.785.261017091321030.102380197035169
0.795.285234083932140.0994364078041552
0.85.309255565715720.096567623107784
0.815.333153611591430.0940037142159518
0.825.357042383755260.0919314569555869
0.835.381039894777430.0904007097109028
0.845.405210753172230.0892278599408207
0.855.429497039404860.087885892997178
0.865.453657969245740.0855840331451185
0.875.477248764862770.0814776301058251
0.885.499666643326610.0750146040124062
0.895.52027292820840.0662170263246021
0.95.538569285587860.0558042317972228
0.915.554374931883570.0450827588524630
0.925.567934160532720.0356255028802679
0.935.579888718763460.0288134624805934
0.945.591079906347890.0252096011608794
0.955.60220025984360.0239059828914265
0.965.613392747607320.0227448070094462
0.975.62398705241540.0195483882740044
0.985.632631798676260.0133793626356182
0.995.638020824761290.00558791803732976

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 4.0734959300312 & 0.00794832234132237 \tabularnewline
0.02 & 4.07869330828737 & 0.0078863723388071 \tabularnewline
0.03 & 4.08460076869737 & 0.0114685626360425 \tabularnewline
0.04 & 4.09151456681862 & 0.0165804767810860 \tabularnewline
0.05 & 4.0997578046836 & 0.0213310736862505 \tabularnewline
0.06 & 4.10920446321706 & 0.0249588175756138 \tabularnewline
0.07 & 4.11955492307982 & 0.0280341351800447 \tabularnewline
0.08 & 4.13071966016973 & 0.0321881617792853 \tabularnewline
0.09 & 4.14297731225109 & 0.0388974967293505 \tabularnewline
0.1 & 4.1568527883366 & 0.0482434015833147 \tabularnewline
0.11 & 4.1728244209878 & 0.0588553685297375 \tabularnewline
0.12 & 4.19103379894181 & 0.0686823035535201 \tabularnewline
0.13 & 4.21113898945624 & 0.075769656200603 \tabularnewline
0.14 & 4.23235968307103 & 0.0788386473178777 \tabularnewline
0.15 & 4.25367107961133 & 0.0775808658679186 \tabularnewline
0.16 & 4.27405385631686 & 0.0726053640150774 \tabularnewline
0.17 & 4.29270875690474 & 0.0651542652399613 \tabularnewline
0.18 & 4.30917965606351 & 0.0567009440793698 \tabularnewline
0.19 & 4.32337351694865 & 0.0486283713172958 \tabularnewline
0.2 & 4.33549988841639 & 0.0419733967824573 \tabularnewline
0.21 & 4.34596812702606 & 0.0373603621435557 \tabularnewline
0.22 & 4.3552791086811 & 0.0349770644713039 \tabularnewline
0.23 & 4.36393681730743 & 0.0346527831343604 \tabularnewline
0.24 & 4.37239126352211 & 0.0359910111517871 \tabularnewline
0.25 & 4.38101267747621 & 0.0385914027310627 \tabularnewline
0.26 & 4.39008985327849 & 0.0421375358034206 \tabularnewline
0.27 & 4.39984276163287 & 0.046428917577918 \tabularnewline
0.28 & 4.41043994094987 & 0.0513483961677028 \tabularnewline
0.29 & 4.42201340317768 & 0.0568312892286815 \tabularnewline
0.3 & 4.43466676787081 & 0.0628076476956494 \tabularnewline
0.31 & 4.44847532059539 & 0.0691391746527203 \tabularnewline
0.32 & 4.46347921171098 & 0.0756513171598189 \tabularnewline
0.33 & 4.47967278890683 & 0.0820620633843682 \tabularnewline
0.34 & 4.49699393686361 & 0.0880200236836102 \tabularnewline
0.35 & 4.51531723444068 & 0.093179221149494 \tabularnewline
0.36 & 4.53445381772874 & 0.0971938687550688 \tabularnewline
0.37 & 4.55415929359487 & 0.0997798501472692 \tabularnewline
0.38 & 4.57414926139095 & 0.100780338966603 \tabularnewline
0.39 & 4.59412041614282 & 0.100148104139022 \tabularnewline
0.4 & 4.61377421457512 & 0.0979735046073088 \tabularnewline
0.41 & 4.63283989222306 & 0.0944702848675986 \tabularnewline
0.42 & 4.65109417665275 & 0.0899210969700494 \tabularnewline
0.43 & 4.66837606626566 & 0.0846734567217513 \tabularnewline
0.44 & 4.68459613389175 & 0.0791132751532729 \tabularnewline
0.45 & 4.69974060415849 & 0.0736223709104577 \tabularnewline
0.46 & 4.71387075078862 & 0.0685733219771506 \tabularnewline
0.47 & 4.72711800328008 & 0.0643266030690199 \tabularnewline
0.48 & 4.73967477581193 & 0.061215889616901 \tabularnewline
0.49 & 4.75178075451457 & 0.059491064314896 \tabularnewline
0.5 & 4.76370447402333 & 0.0593058369531475 \tabularnewline
0.51 & 4.77572059655735 & 0.060663948352948 \tabularnewline
0.52 & 4.78808429145346 & 0.0633822408339518 \tabularnewline
0.53 & 4.80100523863255 & 0.0670822498181728 \tabularnewline
0.54 & 4.81462468945885 & 0.0713003644626122 \tabularnewline
0.55 & 4.82899937117405 & 0.075513338921284 \tabularnewline
0.56 & 4.84409559501998 & 0.0792042914300755 \tabularnewline
0.57 & 4.85979569397171 & 0.0819382682908768 \tabularnewline
0.58 & 4.87591705491719 & 0.0834276296979652 \tabularnewline
0.59 & 4.89224187220415 & 0.0835548933976045 \tabularnewline
0.6 & 4.90855376314917 & 0.0824275770661673 \tabularnewline
0.61 & 4.92467594766089 & 0.0803355061610855 \tabularnewline
0.62 & 4.94050507553465 & 0.0777596916520938 \tabularnewline
0.63 & 4.95603509211576 & 0.0752887555840269 \tabularnewline
0.64 & 4.97136672321526 & 0.0735584377625941 \tabularnewline
0.65 & 4.98670009593917 & 0.0731173221018231 \tabularnewline
0.66 & 5.00231050595619 & 0.0743567911310559 \tabularnewline
0.67 & 5.01851015139953 & 0.0773665551731248 \tabularnewline
0.68 & 5.03560142514408 & 0.0819191465426595 \tabularnewline
0.69 & 5.05382956751584 & 0.0875251511721034 \tabularnewline
0.7 & 5.07334346712851 & 0.0935029844263653 \tabularnewline
0.71 & 5.0941725376935 & 0.0991319683441853 \tabularnewline
0.72 & 5.1162246346273 & 0.103768130793537 \tabularnewline
0.73 & 5.13930533019261 & 0.106984845021374 \tabularnewline
0.74 & 5.16315374857701 & 0.108568711569472 \tabularnewline
0.75 & 5.18748627608367 & 0.108596780315455 \tabularnewline
0.76 & 5.21203831873505 & 0.107321122638280 \tabularnewline
0.77 & 5.2365963821739 & 0.105124883152313 \tabularnewline
0.78 & 5.26101709132103 & 0.102380197035169 \tabularnewline
0.79 & 5.28523408393214 & 0.0994364078041552 \tabularnewline
0.8 & 5.30925556571572 & 0.096567623107784 \tabularnewline
0.81 & 5.33315361159143 & 0.0940037142159518 \tabularnewline
0.82 & 5.35704238375526 & 0.0919314569555869 \tabularnewline
0.83 & 5.38103989477743 & 0.0904007097109028 \tabularnewline
0.84 & 5.40521075317223 & 0.0892278599408207 \tabularnewline
0.85 & 5.42949703940486 & 0.087885892997178 \tabularnewline
0.86 & 5.45365796924574 & 0.0855840331451185 \tabularnewline
0.87 & 5.47724876486277 & 0.0814776301058251 \tabularnewline
0.88 & 5.49966664332661 & 0.0750146040124062 \tabularnewline
0.89 & 5.5202729282084 & 0.0662170263246021 \tabularnewline
0.9 & 5.53856928558786 & 0.0558042317972228 \tabularnewline
0.91 & 5.55437493188357 & 0.0450827588524630 \tabularnewline
0.92 & 5.56793416053272 & 0.0356255028802679 \tabularnewline
0.93 & 5.57988871876346 & 0.0288134624805934 \tabularnewline
0.94 & 5.59107990634789 & 0.0252096011608794 \tabularnewline
0.95 & 5.6022002598436 & 0.0239059828914265 \tabularnewline
0.96 & 5.61339274760732 & 0.0227448070094462 \tabularnewline
0.97 & 5.6239870524154 & 0.0195483882740044 \tabularnewline
0.98 & 5.63263179867626 & 0.0133793626356182 \tabularnewline
0.99 & 5.63802082476129 & 0.00558791803732976 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9331&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]4.0734959300312[/C][C]0.00794832234132237[/C][/ROW]
[ROW][C]0.02[/C][C]4.07869330828737[/C][C]0.0078863723388071[/C][/ROW]
[ROW][C]0.03[/C][C]4.08460076869737[/C][C]0.0114685626360425[/C][/ROW]
[ROW][C]0.04[/C][C]4.09151456681862[/C][C]0.0165804767810860[/C][/ROW]
[ROW][C]0.05[/C][C]4.0997578046836[/C][C]0.0213310736862505[/C][/ROW]
[ROW][C]0.06[/C][C]4.10920446321706[/C][C]0.0249588175756138[/C][/ROW]
[ROW][C]0.07[/C][C]4.11955492307982[/C][C]0.0280341351800447[/C][/ROW]
[ROW][C]0.08[/C][C]4.13071966016973[/C][C]0.0321881617792853[/C][/ROW]
[ROW][C]0.09[/C][C]4.14297731225109[/C][C]0.0388974967293505[/C][/ROW]
[ROW][C]0.1[/C][C]4.1568527883366[/C][C]0.0482434015833147[/C][/ROW]
[ROW][C]0.11[/C][C]4.1728244209878[/C][C]0.0588553685297375[/C][/ROW]
[ROW][C]0.12[/C][C]4.19103379894181[/C][C]0.0686823035535201[/C][/ROW]
[ROW][C]0.13[/C][C]4.21113898945624[/C][C]0.075769656200603[/C][/ROW]
[ROW][C]0.14[/C][C]4.23235968307103[/C][C]0.0788386473178777[/C][/ROW]
[ROW][C]0.15[/C][C]4.25367107961133[/C][C]0.0775808658679186[/C][/ROW]
[ROW][C]0.16[/C][C]4.27405385631686[/C][C]0.0726053640150774[/C][/ROW]
[ROW][C]0.17[/C][C]4.29270875690474[/C][C]0.0651542652399613[/C][/ROW]
[ROW][C]0.18[/C][C]4.30917965606351[/C][C]0.0567009440793698[/C][/ROW]
[ROW][C]0.19[/C][C]4.32337351694865[/C][C]0.0486283713172958[/C][/ROW]
[ROW][C]0.2[/C][C]4.33549988841639[/C][C]0.0419733967824573[/C][/ROW]
[ROW][C]0.21[/C][C]4.34596812702606[/C][C]0.0373603621435557[/C][/ROW]
[ROW][C]0.22[/C][C]4.3552791086811[/C][C]0.0349770644713039[/C][/ROW]
[ROW][C]0.23[/C][C]4.36393681730743[/C][C]0.0346527831343604[/C][/ROW]
[ROW][C]0.24[/C][C]4.37239126352211[/C][C]0.0359910111517871[/C][/ROW]
[ROW][C]0.25[/C][C]4.38101267747621[/C][C]0.0385914027310627[/C][/ROW]
[ROW][C]0.26[/C][C]4.39008985327849[/C][C]0.0421375358034206[/C][/ROW]
[ROW][C]0.27[/C][C]4.39984276163287[/C][C]0.046428917577918[/C][/ROW]
[ROW][C]0.28[/C][C]4.41043994094987[/C][C]0.0513483961677028[/C][/ROW]
[ROW][C]0.29[/C][C]4.42201340317768[/C][C]0.0568312892286815[/C][/ROW]
[ROW][C]0.3[/C][C]4.43466676787081[/C][C]0.0628076476956494[/C][/ROW]
[ROW][C]0.31[/C][C]4.44847532059539[/C][C]0.0691391746527203[/C][/ROW]
[ROW][C]0.32[/C][C]4.46347921171098[/C][C]0.0756513171598189[/C][/ROW]
[ROW][C]0.33[/C][C]4.47967278890683[/C][C]0.0820620633843682[/C][/ROW]
[ROW][C]0.34[/C][C]4.49699393686361[/C][C]0.0880200236836102[/C][/ROW]
[ROW][C]0.35[/C][C]4.51531723444068[/C][C]0.093179221149494[/C][/ROW]
[ROW][C]0.36[/C][C]4.53445381772874[/C][C]0.0971938687550688[/C][/ROW]
[ROW][C]0.37[/C][C]4.55415929359487[/C][C]0.0997798501472692[/C][/ROW]
[ROW][C]0.38[/C][C]4.57414926139095[/C][C]0.100780338966603[/C][/ROW]
[ROW][C]0.39[/C][C]4.59412041614282[/C][C]0.100148104139022[/C][/ROW]
[ROW][C]0.4[/C][C]4.61377421457512[/C][C]0.0979735046073088[/C][/ROW]
[ROW][C]0.41[/C][C]4.63283989222306[/C][C]0.0944702848675986[/C][/ROW]
[ROW][C]0.42[/C][C]4.65109417665275[/C][C]0.0899210969700494[/C][/ROW]
[ROW][C]0.43[/C][C]4.66837606626566[/C][C]0.0846734567217513[/C][/ROW]
[ROW][C]0.44[/C][C]4.68459613389175[/C][C]0.0791132751532729[/C][/ROW]
[ROW][C]0.45[/C][C]4.69974060415849[/C][C]0.0736223709104577[/C][/ROW]
[ROW][C]0.46[/C][C]4.71387075078862[/C][C]0.0685733219771506[/C][/ROW]
[ROW][C]0.47[/C][C]4.72711800328008[/C][C]0.0643266030690199[/C][/ROW]
[ROW][C]0.48[/C][C]4.73967477581193[/C][C]0.061215889616901[/C][/ROW]
[ROW][C]0.49[/C][C]4.75178075451457[/C][C]0.059491064314896[/C][/ROW]
[ROW][C]0.5[/C][C]4.76370447402333[/C][C]0.0593058369531475[/C][/ROW]
[ROW][C]0.51[/C][C]4.77572059655735[/C][C]0.060663948352948[/C][/ROW]
[ROW][C]0.52[/C][C]4.78808429145346[/C][C]0.0633822408339518[/C][/ROW]
[ROW][C]0.53[/C][C]4.80100523863255[/C][C]0.0670822498181728[/C][/ROW]
[ROW][C]0.54[/C][C]4.81462468945885[/C][C]0.0713003644626122[/C][/ROW]
[ROW][C]0.55[/C][C]4.82899937117405[/C][C]0.075513338921284[/C][/ROW]
[ROW][C]0.56[/C][C]4.84409559501998[/C][C]0.0792042914300755[/C][/ROW]
[ROW][C]0.57[/C][C]4.85979569397171[/C][C]0.0819382682908768[/C][/ROW]
[ROW][C]0.58[/C][C]4.87591705491719[/C][C]0.0834276296979652[/C][/ROW]
[ROW][C]0.59[/C][C]4.89224187220415[/C][C]0.0835548933976045[/C][/ROW]
[ROW][C]0.6[/C][C]4.90855376314917[/C][C]0.0824275770661673[/C][/ROW]
[ROW][C]0.61[/C][C]4.92467594766089[/C][C]0.0803355061610855[/C][/ROW]
[ROW][C]0.62[/C][C]4.94050507553465[/C][C]0.0777596916520938[/C][/ROW]
[ROW][C]0.63[/C][C]4.95603509211576[/C][C]0.0752887555840269[/C][/ROW]
[ROW][C]0.64[/C][C]4.97136672321526[/C][C]0.0735584377625941[/C][/ROW]
[ROW][C]0.65[/C][C]4.98670009593917[/C][C]0.0731173221018231[/C][/ROW]
[ROW][C]0.66[/C][C]5.00231050595619[/C][C]0.0743567911310559[/C][/ROW]
[ROW][C]0.67[/C][C]5.01851015139953[/C][C]0.0773665551731248[/C][/ROW]
[ROW][C]0.68[/C][C]5.03560142514408[/C][C]0.0819191465426595[/C][/ROW]
[ROW][C]0.69[/C][C]5.05382956751584[/C][C]0.0875251511721034[/C][/ROW]
[ROW][C]0.7[/C][C]5.07334346712851[/C][C]0.0935029844263653[/C][/ROW]
[ROW][C]0.71[/C][C]5.0941725376935[/C][C]0.0991319683441853[/C][/ROW]
[ROW][C]0.72[/C][C]5.1162246346273[/C][C]0.103768130793537[/C][/ROW]
[ROW][C]0.73[/C][C]5.13930533019261[/C][C]0.106984845021374[/C][/ROW]
[ROW][C]0.74[/C][C]5.16315374857701[/C][C]0.108568711569472[/C][/ROW]
[ROW][C]0.75[/C][C]5.18748627608367[/C][C]0.108596780315455[/C][/ROW]
[ROW][C]0.76[/C][C]5.21203831873505[/C][C]0.107321122638280[/C][/ROW]
[ROW][C]0.77[/C][C]5.2365963821739[/C][C]0.105124883152313[/C][/ROW]
[ROW][C]0.78[/C][C]5.26101709132103[/C][C]0.102380197035169[/C][/ROW]
[ROW][C]0.79[/C][C]5.28523408393214[/C][C]0.0994364078041552[/C][/ROW]
[ROW][C]0.8[/C][C]5.30925556571572[/C][C]0.096567623107784[/C][/ROW]
[ROW][C]0.81[/C][C]5.33315361159143[/C][C]0.0940037142159518[/C][/ROW]
[ROW][C]0.82[/C][C]5.35704238375526[/C][C]0.0919314569555869[/C][/ROW]
[ROW][C]0.83[/C][C]5.38103989477743[/C][C]0.0904007097109028[/C][/ROW]
[ROW][C]0.84[/C][C]5.40521075317223[/C][C]0.0892278599408207[/C][/ROW]
[ROW][C]0.85[/C][C]5.42949703940486[/C][C]0.087885892997178[/C][/ROW]
[ROW][C]0.86[/C][C]5.45365796924574[/C][C]0.0855840331451185[/C][/ROW]
[ROW][C]0.87[/C][C]5.47724876486277[/C][C]0.0814776301058251[/C][/ROW]
[ROW][C]0.88[/C][C]5.49966664332661[/C][C]0.0750146040124062[/C][/ROW]
[ROW][C]0.89[/C][C]5.5202729282084[/C][C]0.0662170263246021[/C][/ROW]
[ROW][C]0.9[/C][C]5.53856928558786[/C][C]0.0558042317972228[/C][/ROW]
[ROW][C]0.91[/C][C]5.55437493188357[/C][C]0.0450827588524630[/C][/ROW]
[ROW][C]0.92[/C][C]5.56793416053272[/C][C]0.0356255028802679[/C][/ROW]
[ROW][C]0.93[/C][C]5.57988871876346[/C][C]0.0288134624805934[/C][/ROW]
[ROW][C]0.94[/C][C]5.59107990634789[/C][C]0.0252096011608794[/C][/ROW]
[ROW][C]0.95[/C][C]5.6022002598436[/C][C]0.0239059828914265[/C][/ROW]
[ROW][C]0.96[/C][C]5.61339274760732[/C][C]0.0227448070094462[/C][/ROW]
[ROW][C]0.97[/C][C]5.6239870524154[/C][C]0.0195483882740044[/C][/ROW]
[ROW][C]0.98[/C][C]5.63263179867626[/C][C]0.0133793626356182[/C][/ROW]
[ROW][C]0.99[/C][C]5.63802082476129[/C][C]0.00558791803732976[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9331&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9331&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
0.014.07349593003120.00794832234132237
0.024.078693308287370.0078863723388071
0.034.084600768697370.0114685626360425
0.044.091514566818620.0165804767810860
0.054.09975780468360.0213310736862505
0.064.109204463217060.0249588175756138
0.074.119554923079820.0280341351800447
0.084.130719660169730.0321881617792853
0.094.142977312251090.0388974967293505
0.14.15685278833660.0482434015833147
0.114.17282442098780.0588553685297375
0.124.191033798941810.0686823035535201
0.134.211138989456240.075769656200603
0.144.232359683071030.0788386473178777
0.154.253671079611330.0775808658679186
0.164.274053856316860.0726053640150774
0.174.292708756904740.0651542652399613
0.184.309179656063510.0567009440793698
0.194.323373516948650.0486283713172958
0.24.335499888416390.0419733967824573
0.214.345968127026060.0373603621435557
0.224.35527910868110.0349770644713039
0.234.363936817307430.0346527831343604
0.244.372391263522110.0359910111517871
0.254.381012677476210.0385914027310627
0.264.390089853278490.0421375358034206
0.274.399842761632870.046428917577918
0.284.410439940949870.0513483961677028
0.294.422013403177680.0568312892286815
0.34.434666767870810.0628076476956494
0.314.448475320595390.0691391746527203
0.324.463479211710980.0756513171598189
0.334.479672788906830.0820620633843682
0.344.496993936863610.0880200236836102
0.354.515317234440680.093179221149494
0.364.534453817728740.0971938687550688
0.374.554159293594870.0997798501472692
0.384.574149261390950.100780338966603
0.394.594120416142820.100148104139022
0.44.613774214575120.0979735046073088
0.414.632839892223060.0944702848675986
0.424.651094176652750.0899210969700494
0.434.668376066265660.0846734567217513
0.444.684596133891750.0791132751532729
0.454.699740604158490.0736223709104577
0.464.713870750788620.0685733219771506
0.474.727118003280080.0643266030690199
0.484.739674775811930.061215889616901
0.494.751780754514570.059491064314896
0.54.763704474023330.0593058369531475
0.514.775720596557350.060663948352948
0.524.788084291453460.0633822408339518
0.534.801005238632550.0670822498181728
0.544.814624689458850.0713003644626122
0.554.828999371174050.075513338921284
0.564.844095595019980.0792042914300755
0.574.859795693971710.0819382682908768
0.584.875917054917190.0834276296979652
0.594.892241872204150.0835548933976045
0.64.908553763149170.0824275770661673
0.614.924675947660890.0803355061610855
0.624.940505075534650.0777596916520938
0.634.956035092115760.0752887555840269
0.644.971366723215260.0735584377625941
0.654.986700095939170.0731173221018231
0.665.002310505956190.0743567911310559
0.675.018510151399530.0773665551731248
0.685.035601425144080.0819191465426595
0.695.053829567515840.0875251511721034
0.75.073343467128510.0935029844263653
0.715.09417253769350.0991319683441853
0.725.11622463462730.103768130793537
0.735.139305330192610.106984845021374
0.745.163153748577010.108568711569472
0.755.187486276083670.108596780315455
0.765.212038318735050.107321122638280
0.775.23659638217390.105124883152313
0.785.261017091321030.102380197035169
0.795.285234083932140.0994364078041552
0.85.309255565715720.096567623107784
0.815.333153611591430.0940037142159518
0.825.357042383755260.0919314569555869
0.835.381039894777430.0904007097109028
0.845.405210753172230.0892278599408207
0.855.429497039404860.087885892997178
0.865.453657969245740.0855840331451185
0.875.477248764862770.0814776301058251
0.885.499666643326610.0750146040124062
0.895.52027292820840.0662170263246021
0.95.538569285587860.0558042317972228
0.915.554374931883570.0450827588524630
0.925.567934160532720.0356255028802679
0.935.579888718763460.0288134624805934
0.945.591079906347890.0252096011608794
0.955.60220025984360.0239059828914265
0.965.613392747607320.0227448070094462
0.975.62398705241540.0195483882740044
0.985.632631798676260.0133793626356182
0.995.638020824761290.00558791803732976



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')