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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, 19 Oct 2009 14:22:48 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/19/t1255983839sviv3fsu6j46dcw.htm/, Retrieved Thu, 31 Oct 2024 23:39:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=48234, Retrieved Thu, 31 Oct 2024 23:39:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact169
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2009-10-19 20:22:48] [6f76491bc22dc2a03dd3886755cb7a25] [Current]
-  MPD    [Harrell-Davis Quantiles] [KDGP1W42] [2010-01-24 13:16:43] [830dacb160eeaee72e8ff2204da365bc]
- RMPD    [Mean versus Median] [Mean versus Media...] [2010-01-24 13:53:57] [830dacb160eeaee72e8ff2204da365bc]
- RMPD    [Central Tendency] [Central Tendency ...] [2010-01-24 14:11:25] [830dacb160eeaee72e8ff2204da365bc]
- RMPD    [Mean versus Median] [Mean versus Media...] [2010-01-24 14:32:44] [830dacb160eeaee72e8ff2204da365bc]
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Dataseries X:
3.81
3.95
3.99
4
4.06
4.16
4.19
4.2
4.2
4.2
4.2
4.2
4.23
4.38
4.43
4.44
4.44
4.44
4.44
4.44
4.45
4.45
4.45
4.45
4.45
4.45
4.45
4.45
4.46
4.46
4.46
4.48
4.58
4.67
4.68
4.68
4.69
4.69
4.69
4.69
4.69
4.69
4.69
4.73
4.78
4.79
4.79
4.8
4.8
4.81
5.16
5.26
5.29
5.29
5.29
5.3
5.3
5.3
5.3
5.3
5.3
5.3
5.3
5.35
5.44
5.47
5.47
5.48
5.48
5.48
5.48
5.48




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48234&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=48234&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48234&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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Harrell-Davis Quantiles
quantilesvaluestandard error
0.013.849052503062910.113162033404507
0.023.902671287382270.0842983815284534
0.033.952286505441680.0687390164928627
0.043.993366489330730.0689689200120207
0.054.028689495868880.0757907202275307
0.064.061146328234410.0806197131869244
0.074.091557577346990.0798056490420564
0.084.119367636551950.0735724027820388
0.094.143841125251680.0644440241632774
0.14.164797351484160.0557527401792479
0.114.182783721316750.0506053326324351
0.124.198882194665490.0509016355072534
0.134.214368880406380.0565081408302837
0.144.230384408423080.0656040950348704
0.154.247699495672920.0758986365555086
0.164.266604271869910.0852588688148112
0.174.286914939638290.0919709373557163
0.184.308071442870820.09491315134313
0.194.329289567502550.0936669509631771
0.24.349728165491840.0884883565471633
0.214.368636622150950.0801731964152348
0.224.385458267145090.069825729562758
0.234.399879437463830.0586212853742438
0.244.41182756279620.0476061206473302
0.254.421431600211400.0375743799343553
0.264.428962638375210.0290169121159166
0.274.434771696569930.0221621256058777
0.284.439237278001430.0170319662723598
0.294.442729270162500.0135655290934124
0.34.445590216237440.0116750740448909
0.314.448130969318730.0113156618840207
0.324.450635637752130.0124370214248270
0.334.453370295339950.0149710716618249
0.344.456590646905460.01885908107539
0.354.460545179829310.0240635313116043
0.364.465471903862660.0305298418694804
0.374.471588354278360.0381056859032509
0.384.479075984028650.0465598260853698
0.394.488061306634510.0555225543479644
0.44.498597058472340.0645323617244598
0.414.510647084033970.073042518323146
0.424.524078478211360.0804866259871165
0.434.538663686178380.0863421791956118
0.444.554093832506070.0901731432303572
0.454.57000274337330.0917399693177748
0.464.585999274773490.0909770126946993
0.474.601704046692970.0880514817937517
0.484.616785839337710.0833133336868218
0.494.63099292599420.077296358590614
0.54.644175502626440.0706269276778753
0.514.656296942225630.0639836484340725
0.524.667433525553280.0580335831523059
0.534.677764187300690.0533941908037439
0.544.687553293224070.0505717170418663
0.554.697130240858890.0499064164775668
0.564.706869596742310.0515762650263868
0.574.717174544758690.0555867153123087
0.584.728464785211060.0618835438440015
0.594.741168014027420.0704213150589857
0.64.755712183342560.081154872856533
0.614.772514433666790.0940313320792348
0.624.791962403151940.108885347503835
0.634.814384898305870.125359306733229
0.644.840011660322760.142841222092864
0.654.86892574656350.160413837738777
0.664.901015987343370.176906949543979
0.674.935939904922380.190973997696871
0.684.973108246846880.201251728154590
0.695.011700156152980.206557587424463
0.75.050713001572630.206073295394250
0.715.089043954163230.19951085087552
0.725.125593212591660.187176058152952
0.735.159373345418120.169957879854772
0.745.189607212684680.149211707229098
0.755.215799114552480.126570675594063
0.765.237769708432560.103713653098596
0.775.255653181112230.0821783437688984
0.785.26986280678640.063193355350226
0.795.28103605340550.047646478350992
0.85.289971302318260.036129482313005
0.815.297564850928530.0291155040412482
0.825.304750547633380.0269683093315
0.835.312437847743570.0294383205269454
0.845.321440601638360.0354274645350895
0.855.332391341423920.0435609747025326
0.865.345645165296490.0523875227809327
0.875.361191233682030.0603349504917303
0.885.378602421299330.0657973662999756
0.895.397056650228190.0674366677138274
0.95.415450303504850.0645515408621883
0.915.432594943349580.0573390833823943
0.925.447453167102160.0469200592463387
0.935.459345132770110.0350590592008956
0.945.468059965203080.0236431781699426
0.955.473839141258890.0141528284581979
0.965.477247533669020.00732592438224814
0.975.478987247795390.00313376232888998
0.985.479720994308890.00100989190794737
0.995.479954936803890.00019292202441928

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 3.84905250306291 & 0.113162033404507 \tabularnewline
0.02 & 3.90267128738227 & 0.0842983815284534 \tabularnewline
0.03 & 3.95228650544168 & 0.0687390164928627 \tabularnewline
0.04 & 3.99336648933073 & 0.0689689200120207 \tabularnewline
0.05 & 4.02868949586888 & 0.0757907202275307 \tabularnewline
0.06 & 4.06114632823441 & 0.0806197131869244 \tabularnewline
0.07 & 4.09155757734699 & 0.0798056490420564 \tabularnewline
0.08 & 4.11936763655195 & 0.0735724027820388 \tabularnewline
0.09 & 4.14384112525168 & 0.0644440241632774 \tabularnewline
0.1 & 4.16479735148416 & 0.0557527401792479 \tabularnewline
0.11 & 4.18278372131675 & 0.0506053326324351 \tabularnewline
0.12 & 4.19888219466549 & 0.0509016355072534 \tabularnewline
0.13 & 4.21436888040638 & 0.0565081408302837 \tabularnewline
0.14 & 4.23038440842308 & 0.0656040950348704 \tabularnewline
0.15 & 4.24769949567292 & 0.0758986365555086 \tabularnewline
0.16 & 4.26660427186991 & 0.0852588688148112 \tabularnewline
0.17 & 4.28691493963829 & 0.0919709373557163 \tabularnewline
0.18 & 4.30807144287082 & 0.09491315134313 \tabularnewline
0.19 & 4.32928956750255 & 0.0936669509631771 \tabularnewline
0.2 & 4.34972816549184 & 0.0884883565471633 \tabularnewline
0.21 & 4.36863662215095 & 0.0801731964152348 \tabularnewline
0.22 & 4.38545826714509 & 0.069825729562758 \tabularnewline
0.23 & 4.39987943746383 & 0.0586212853742438 \tabularnewline
0.24 & 4.4118275627962 & 0.0476061206473302 \tabularnewline
0.25 & 4.42143160021140 & 0.0375743799343553 \tabularnewline
0.26 & 4.42896263837521 & 0.0290169121159166 \tabularnewline
0.27 & 4.43477169656993 & 0.0221621256058777 \tabularnewline
0.28 & 4.43923727800143 & 0.0170319662723598 \tabularnewline
0.29 & 4.44272927016250 & 0.0135655290934124 \tabularnewline
0.3 & 4.44559021623744 & 0.0116750740448909 \tabularnewline
0.31 & 4.44813096931873 & 0.0113156618840207 \tabularnewline
0.32 & 4.45063563775213 & 0.0124370214248270 \tabularnewline
0.33 & 4.45337029533995 & 0.0149710716618249 \tabularnewline
0.34 & 4.45659064690546 & 0.01885908107539 \tabularnewline
0.35 & 4.46054517982931 & 0.0240635313116043 \tabularnewline
0.36 & 4.46547190386266 & 0.0305298418694804 \tabularnewline
0.37 & 4.47158835427836 & 0.0381056859032509 \tabularnewline
0.38 & 4.47907598402865 & 0.0465598260853698 \tabularnewline
0.39 & 4.48806130663451 & 0.0555225543479644 \tabularnewline
0.4 & 4.49859705847234 & 0.0645323617244598 \tabularnewline
0.41 & 4.51064708403397 & 0.073042518323146 \tabularnewline
0.42 & 4.52407847821136 & 0.0804866259871165 \tabularnewline
0.43 & 4.53866368617838 & 0.0863421791956118 \tabularnewline
0.44 & 4.55409383250607 & 0.0901731432303572 \tabularnewline
0.45 & 4.5700027433733 & 0.0917399693177748 \tabularnewline
0.46 & 4.58599927477349 & 0.0909770126946993 \tabularnewline
0.47 & 4.60170404669297 & 0.0880514817937517 \tabularnewline
0.48 & 4.61678583933771 & 0.0833133336868218 \tabularnewline
0.49 & 4.6309929259942 & 0.077296358590614 \tabularnewline
0.5 & 4.64417550262644 & 0.0706269276778753 \tabularnewline
0.51 & 4.65629694222563 & 0.0639836484340725 \tabularnewline
0.52 & 4.66743352555328 & 0.0580335831523059 \tabularnewline
0.53 & 4.67776418730069 & 0.0533941908037439 \tabularnewline
0.54 & 4.68755329322407 & 0.0505717170418663 \tabularnewline
0.55 & 4.69713024085889 & 0.0499064164775668 \tabularnewline
0.56 & 4.70686959674231 & 0.0515762650263868 \tabularnewline
0.57 & 4.71717454475869 & 0.0555867153123087 \tabularnewline
0.58 & 4.72846478521106 & 0.0618835438440015 \tabularnewline
0.59 & 4.74116801402742 & 0.0704213150589857 \tabularnewline
0.6 & 4.75571218334256 & 0.081154872856533 \tabularnewline
0.61 & 4.77251443366679 & 0.0940313320792348 \tabularnewline
0.62 & 4.79196240315194 & 0.108885347503835 \tabularnewline
0.63 & 4.81438489830587 & 0.125359306733229 \tabularnewline
0.64 & 4.84001166032276 & 0.142841222092864 \tabularnewline
0.65 & 4.8689257465635 & 0.160413837738777 \tabularnewline
0.66 & 4.90101598734337 & 0.176906949543979 \tabularnewline
0.67 & 4.93593990492238 & 0.190973997696871 \tabularnewline
0.68 & 4.97310824684688 & 0.201251728154590 \tabularnewline
0.69 & 5.01170015615298 & 0.206557587424463 \tabularnewline
0.7 & 5.05071300157263 & 0.206073295394250 \tabularnewline
0.71 & 5.08904395416323 & 0.19951085087552 \tabularnewline
0.72 & 5.12559321259166 & 0.187176058152952 \tabularnewline
0.73 & 5.15937334541812 & 0.169957879854772 \tabularnewline
0.74 & 5.18960721268468 & 0.149211707229098 \tabularnewline
0.75 & 5.21579911455248 & 0.126570675594063 \tabularnewline
0.76 & 5.23776970843256 & 0.103713653098596 \tabularnewline
0.77 & 5.25565318111223 & 0.0821783437688984 \tabularnewline
0.78 & 5.2698628067864 & 0.063193355350226 \tabularnewline
0.79 & 5.2810360534055 & 0.047646478350992 \tabularnewline
0.8 & 5.28997130231826 & 0.036129482313005 \tabularnewline
0.81 & 5.29756485092853 & 0.0291155040412482 \tabularnewline
0.82 & 5.30475054763338 & 0.0269683093315 \tabularnewline
0.83 & 5.31243784774357 & 0.0294383205269454 \tabularnewline
0.84 & 5.32144060163836 & 0.0354274645350895 \tabularnewline
0.85 & 5.33239134142392 & 0.0435609747025326 \tabularnewline
0.86 & 5.34564516529649 & 0.0523875227809327 \tabularnewline
0.87 & 5.36119123368203 & 0.0603349504917303 \tabularnewline
0.88 & 5.37860242129933 & 0.0657973662999756 \tabularnewline
0.89 & 5.39705665022819 & 0.0674366677138274 \tabularnewline
0.9 & 5.41545030350485 & 0.0645515408621883 \tabularnewline
0.91 & 5.43259494334958 & 0.0573390833823943 \tabularnewline
0.92 & 5.44745316710216 & 0.0469200592463387 \tabularnewline
0.93 & 5.45934513277011 & 0.0350590592008956 \tabularnewline
0.94 & 5.46805996520308 & 0.0236431781699426 \tabularnewline
0.95 & 5.47383914125889 & 0.0141528284581979 \tabularnewline
0.96 & 5.47724753366902 & 0.00732592438224814 \tabularnewline
0.97 & 5.47898724779539 & 0.00313376232888998 \tabularnewline
0.98 & 5.47972099430889 & 0.00100989190794737 \tabularnewline
0.99 & 5.47995493680389 & 0.00019292202441928 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48234&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]3.84905250306291[/C][C]0.113162033404507[/C][/ROW]
[ROW][C]0.02[/C][C]3.90267128738227[/C][C]0.0842983815284534[/C][/ROW]
[ROW][C]0.03[/C][C]3.95228650544168[/C][C]0.0687390164928627[/C][/ROW]
[ROW][C]0.04[/C][C]3.99336648933073[/C][C]0.0689689200120207[/C][/ROW]
[ROW][C]0.05[/C][C]4.02868949586888[/C][C]0.0757907202275307[/C][/ROW]
[ROW][C]0.06[/C][C]4.06114632823441[/C][C]0.0806197131869244[/C][/ROW]
[ROW][C]0.07[/C][C]4.09155757734699[/C][C]0.0798056490420564[/C][/ROW]
[ROW][C]0.08[/C][C]4.11936763655195[/C][C]0.0735724027820388[/C][/ROW]
[ROW][C]0.09[/C][C]4.14384112525168[/C][C]0.0644440241632774[/C][/ROW]
[ROW][C]0.1[/C][C]4.16479735148416[/C][C]0.0557527401792479[/C][/ROW]
[ROW][C]0.11[/C][C]4.18278372131675[/C][C]0.0506053326324351[/C][/ROW]
[ROW][C]0.12[/C][C]4.19888219466549[/C][C]0.0509016355072534[/C][/ROW]
[ROW][C]0.13[/C][C]4.21436888040638[/C][C]0.0565081408302837[/C][/ROW]
[ROW][C]0.14[/C][C]4.23038440842308[/C][C]0.0656040950348704[/C][/ROW]
[ROW][C]0.15[/C][C]4.24769949567292[/C][C]0.0758986365555086[/C][/ROW]
[ROW][C]0.16[/C][C]4.26660427186991[/C][C]0.0852588688148112[/C][/ROW]
[ROW][C]0.17[/C][C]4.28691493963829[/C][C]0.0919709373557163[/C][/ROW]
[ROW][C]0.18[/C][C]4.30807144287082[/C][C]0.09491315134313[/C][/ROW]
[ROW][C]0.19[/C][C]4.32928956750255[/C][C]0.0936669509631771[/C][/ROW]
[ROW][C]0.2[/C][C]4.34972816549184[/C][C]0.0884883565471633[/C][/ROW]
[ROW][C]0.21[/C][C]4.36863662215095[/C][C]0.0801731964152348[/C][/ROW]
[ROW][C]0.22[/C][C]4.38545826714509[/C][C]0.069825729562758[/C][/ROW]
[ROW][C]0.23[/C][C]4.39987943746383[/C][C]0.0586212853742438[/C][/ROW]
[ROW][C]0.24[/C][C]4.4118275627962[/C][C]0.0476061206473302[/C][/ROW]
[ROW][C]0.25[/C][C]4.42143160021140[/C][C]0.0375743799343553[/C][/ROW]
[ROW][C]0.26[/C][C]4.42896263837521[/C][C]0.0290169121159166[/C][/ROW]
[ROW][C]0.27[/C][C]4.43477169656993[/C][C]0.0221621256058777[/C][/ROW]
[ROW][C]0.28[/C][C]4.43923727800143[/C][C]0.0170319662723598[/C][/ROW]
[ROW][C]0.29[/C][C]4.44272927016250[/C][C]0.0135655290934124[/C][/ROW]
[ROW][C]0.3[/C][C]4.44559021623744[/C][C]0.0116750740448909[/C][/ROW]
[ROW][C]0.31[/C][C]4.44813096931873[/C][C]0.0113156618840207[/C][/ROW]
[ROW][C]0.32[/C][C]4.45063563775213[/C][C]0.0124370214248270[/C][/ROW]
[ROW][C]0.33[/C][C]4.45337029533995[/C][C]0.0149710716618249[/C][/ROW]
[ROW][C]0.34[/C][C]4.45659064690546[/C][C]0.01885908107539[/C][/ROW]
[ROW][C]0.35[/C][C]4.46054517982931[/C][C]0.0240635313116043[/C][/ROW]
[ROW][C]0.36[/C][C]4.46547190386266[/C][C]0.0305298418694804[/C][/ROW]
[ROW][C]0.37[/C][C]4.47158835427836[/C][C]0.0381056859032509[/C][/ROW]
[ROW][C]0.38[/C][C]4.47907598402865[/C][C]0.0465598260853698[/C][/ROW]
[ROW][C]0.39[/C][C]4.48806130663451[/C][C]0.0555225543479644[/C][/ROW]
[ROW][C]0.4[/C][C]4.49859705847234[/C][C]0.0645323617244598[/C][/ROW]
[ROW][C]0.41[/C][C]4.51064708403397[/C][C]0.073042518323146[/C][/ROW]
[ROW][C]0.42[/C][C]4.52407847821136[/C][C]0.0804866259871165[/C][/ROW]
[ROW][C]0.43[/C][C]4.53866368617838[/C][C]0.0863421791956118[/C][/ROW]
[ROW][C]0.44[/C][C]4.55409383250607[/C][C]0.0901731432303572[/C][/ROW]
[ROW][C]0.45[/C][C]4.5700027433733[/C][C]0.0917399693177748[/C][/ROW]
[ROW][C]0.46[/C][C]4.58599927477349[/C][C]0.0909770126946993[/C][/ROW]
[ROW][C]0.47[/C][C]4.60170404669297[/C][C]0.0880514817937517[/C][/ROW]
[ROW][C]0.48[/C][C]4.61678583933771[/C][C]0.0833133336868218[/C][/ROW]
[ROW][C]0.49[/C][C]4.6309929259942[/C][C]0.077296358590614[/C][/ROW]
[ROW][C]0.5[/C][C]4.64417550262644[/C][C]0.0706269276778753[/C][/ROW]
[ROW][C]0.51[/C][C]4.65629694222563[/C][C]0.0639836484340725[/C][/ROW]
[ROW][C]0.52[/C][C]4.66743352555328[/C][C]0.0580335831523059[/C][/ROW]
[ROW][C]0.53[/C][C]4.67776418730069[/C][C]0.0533941908037439[/C][/ROW]
[ROW][C]0.54[/C][C]4.68755329322407[/C][C]0.0505717170418663[/C][/ROW]
[ROW][C]0.55[/C][C]4.69713024085889[/C][C]0.0499064164775668[/C][/ROW]
[ROW][C]0.56[/C][C]4.70686959674231[/C][C]0.0515762650263868[/C][/ROW]
[ROW][C]0.57[/C][C]4.71717454475869[/C][C]0.0555867153123087[/C][/ROW]
[ROW][C]0.58[/C][C]4.72846478521106[/C][C]0.0618835438440015[/C][/ROW]
[ROW][C]0.59[/C][C]4.74116801402742[/C][C]0.0704213150589857[/C][/ROW]
[ROW][C]0.6[/C][C]4.75571218334256[/C][C]0.081154872856533[/C][/ROW]
[ROW][C]0.61[/C][C]4.77251443366679[/C][C]0.0940313320792348[/C][/ROW]
[ROW][C]0.62[/C][C]4.79196240315194[/C][C]0.108885347503835[/C][/ROW]
[ROW][C]0.63[/C][C]4.81438489830587[/C][C]0.125359306733229[/C][/ROW]
[ROW][C]0.64[/C][C]4.84001166032276[/C][C]0.142841222092864[/C][/ROW]
[ROW][C]0.65[/C][C]4.8689257465635[/C][C]0.160413837738777[/C][/ROW]
[ROW][C]0.66[/C][C]4.90101598734337[/C][C]0.176906949543979[/C][/ROW]
[ROW][C]0.67[/C][C]4.93593990492238[/C][C]0.190973997696871[/C][/ROW]
[ROW][C]0.68[/C][C]4.97310824684688[/C][C]0.201251728154590[/C][/ROW]
[ROW][C]0.69[/C][C]5.01170015615298[/C][C]0.206557587424463[/C][/ROW]
[ROW][C]0.7[/C][C]5.05071300157263[/C][C]0.206073295394250[/C][/ROW]
[ROW][C]0.71[/C][C]5.08904395416323[/C][C]0.19951085087552[/C][/ROW]
[ROW][C]0.72[/C][C]5.12559321259166[/C][C]0.187176058152952[/C][/ROW]
[ROW][C]0.73[/C][C]5.15937334541812[/C][C]0.169957879854772[/C][/ROW]
[ROW][C]0.74[/C][C]5.18960721268468[/C][C]0.149211707229098[/C][/ROW]
[ROW][C]0.75[/C][C]5.21579911455248[/C][C]0.126570675594063[/C][/ROW]
[ROW][C]0.76[/C][C]5.23776970843256[/C][C]0.103713653098596[/C][/ROW]
[ROW][C]0.77[/C][C]5.25565318111223[/C][C]0.0821783437688984[/C][/ROW]
[ROW][C]0.78[/C][C]5.2698628067864[/C][C]0.063193355350226[/C][/ROW]
[ROW][C]0.79[/C][C]5.2810360534055[/C][C]0.047646478350992[/C][/ROW]
[ROW][C]0.8[/C][C]5.28997130231826[/C][C]0.036129482313005[/C][/ROW]
[ROW][C]0.81[/C][C]5.29756485092853[/C][C]0.0291155040412482[/C][/ROW]
[ROW][C]0.82[/C][C]5.30475054763338[/C][C]0.0269683093315[/C][/ROW]
[ROW][C]0.83[/C][C]5.31243784774357[/C][C]0.0294383205269454[/C][/ROW]
[ROW][C]0.84[/C][C]5.32144060163836[/C][C]0.0354274645350895[/C][/ROW]
[ROW][C]0.85[/C][C]5.33239134142392[/C][C]0.0435609747025326[/C][/ROW]
[ROW][C]0.86[/C][C]5.34564516529649[/C][C]0.0523875227809327[/C][/ROW]
[ROW][C]0.87[/C][C]5.36119123368203[/C][C]0.0603349504917303[/C][/ROW]
[ROW][C]0.88[/C][C]5.37860242129933[/C][C]0.0657973662999756[/C][/ROW]
[ROW][C]0.89[/C][C]5.39705665022819[/C][C]0.0674366677138274[/C][/ROW]
[ROW][C]0.9[/C][C]5.41545030350485[/C][C]0.0645515408621883[/C][/ROW]
[ROW][C]0.91[/C][C]5.43259494334958[/C][C]0.0573390833823943[/C][/ROW]
[ROW][C]0.92[/C][C]5.44745316710216[/C][C]0.0469200592463387[/C][/ROW]
[ROW][C]0.93[/C][C]5.45934513277011[/C][C]0.0350590592008956[/C][/ROW]
[ROW][C]0.94[/C][C]5.46805996520308[/C][C]0.0236431781699426[/C][/ROW]
[ROW][C]0.95[/C][C]5.47383914125889[/C][C]0.0141528284581979[/C][/ROW]
[ROW][C]0.96[/C][C]5.47724753366902[/C][C]0.00732592438224814[/C][/ROW]
[ROW][C]0.97[/C][C]5.47898724779539[/C][C]0.00313376232888998[/C][/ROW]
[ROW][C]0.98[/C][C]5.47972099430889[/C][C]0.00100989190794737[/C][/ROW]
[ROW][C]0.99[/C][C]5.47995493680389[/C][C]0.00019292202441928[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=48234&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48234&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
0.013.849052503062910.113162033404507
0.023.902671287382270.0842983815284534
0.033.952286505441680.0687390164928627
0.043.993366489330730.0689689200120207
0.054.028689495868880.0757907202275307
0.064.061146328234410.0806197131869244
0.074.091557577346990.0798056490420564
0.084.119367636551950.0735724027820388
0.094.143841125251680.0644440241632774
0.14.164797351484160.0557527401792479
0.114.182783721316750.0506053326324351
0.124.198882194665490.0509016355072534
0.134.214368880406380.0565081408302837
0.144.230384408423080.0656040950348704
0.154.247699495672920.0758986365555086
0.164.266604271869910.0852588688148112
0.174.286914939638290.0919709373557163
0.184.308071442870820.09491315134313
0.194.329289567502550.0936669509631771
0.24.349728165491840.0884883565471633
0.214.368636622150950.0801731964152348
0.224.385458267145090.069825729562758
0.234.399879437463830.0586212853742438
0.244.41182756279620.0476061206473302
0.254.421431600211400.0375743799343553
0.264.428962638375210.0290169121159166
0.274.434771696569930.0221621256058777
0.284.439237278001430.0170319662723598
0.294.442729270162500.0135655290934124
0.34.445590216237440.0116750740448909
0.314.448130969318730.0113156618840207
0.324.450635637752130.0124370214248270
0.334.453370295339950.0149710716618249
0.344.456590646905460.01885908107539
0.354.460545179829310.0240635313116043
0.364.465471903862660.0305298418694804
0.374.471588354278360.0381056859032509
0.384.479075984028650.0465598260853698
0.394.488061306634510.0555225543479644
0.44.498597058472340.0645323617244598
0.414.510647084033970.073042518323146
0.424.524078478211360.0804866259871165
0.434.538663686178380.0863421791956118
0.444.554093832506070.0901731432303572
0.454.57000274337330.0917399693177748
0.464.585999274773490.0909770126946993
0.474.601704046692970.0880514817937517
0.484.616785839337710.0833133336868218
0.494.63099292599420.077296358590614
0.54.644175502626440.0706269276778753
0.514.656296942225630.0639836484340725
0.524.667433525553280.0580335831523059
0.534.677764187300690.0533941908037439
0.544.687553293224070.0505717170418663
0.554.697130240858890.0499064164775668
0.564.706869596742310.0515762650263868
0.574.717174544758690.0555867153123087
0.584.728464785211060.0618835438440015
0.594.741168014027420.0704213150589857
0.64.755712183342560.081154872856533
0.614.772514433666790.0940313320792348
0.624.791962403151940.108885347503835
0.634.814384898305870.125359306733229
0.644.840011660322760.142841222092864
0.654.86892574656350.160413837738777
0.664.901015987343370.176906949543979
0.674.935939904922380.190973997696871
0.684.973108246846880.201251728154590
0.695.011700156152980.206557587424463
0.75.050713001572630.206073295394250
0.715.089043954163230.19951085087552
0.725.125593212591660.187176058152952
0.735.159373345418120.169957879854772
0.745.189607212684680.149211707229098
0.755.215799114552480.126570675594063
0.765.237769708432560.103713653098596
0.775.255653181112230.0821783437688984
0.785.26986280678640.063193355350226
0.795.28103605340550.047646478350992
0.85.289971302318260.036129482313005
0.815.297564850928530.0291155040412482
0.825.304750547633380.0269683093315
0.835.312437847743570.0294383205269454
0.845.321440601638360.0354274645350895
0.855.332391341423920.0435609747025326
0.865.345645165296490.0523875227809327
0.875.361191233682030.0603349504917303
0.885.378602421299330.0657973662999756
0.895.397056650228190.0674366677138274
0.95.415450303504850.0645515408621883
0.915.432594943349580.0573390833823943
0.925.447453167102160.0469200592463387
0.935.459345132770110.0350590592008956
0.945.468059965203080.0236431781699426
0.955.473839141258890.0141528284581979
0.965.477247533669020.00732592438224814
0.975.478987247795390.00313376232888998
0.985.479720994308890.00100989190794737
0.995.479954936803890.00019292202441928



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')