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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 06 Oct 2012 06:11:00 -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/2012/Oct/06/t1349518345j9k1wip1sl14kjh.htm/, Retrieved Tue, 30 Apr 2024 20:54:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=172499, Retrieved Tue, 30 Apr 2024 20:54:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact145
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2012-10-06 10:11:00] [db26a86bf4adac007852ad52c5e0cac3] [Current]
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Dataseries X:
3,65
3,66
3,69
3,7
3,7
3,71
3,71
3,71
3,72
3,72
3,73
3,74
3,78
3,78
3,79
3,79
3,8
3,81
3,83
3,84
3,88
3,91
3,96
3,96
3,97
3,98
3,99
3,99
4
4
4,02
4,02
4,02
4,03
4,03
4,03
4,04
4,04
4,05
4,05
4,05
4,05
4,06
4,06
4,06
4,06
4,07
4,07
4,08
4,08
4,08
4,09
4,09
4,09
4,09
4,1
4,1
4,11
4,11
4,12
4,12
4,12
4,12
4,12
4,15
4,15
4,15
4,15
4,16
4,16
4,16
4,2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=172499&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=172499&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172499&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'Gwilym Jenkins' @ jenkins.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.013.655132774906240.0140634052982171
0.023.664097380572370.0186177968892914
0.033.674418819012340.0194435382713781
0.043.684030325227840.0170764532734981
0.053.691959453481880.0138209535911913
0.063.698152390166410.0113472547051045
0.073.703040672182070.0102437342475516
0.083.70718437723730.0104767837263042
0.093.711086961815350.0118476691258566
0.13.715139601648730.014155940894207
0.113.719622003612830.0171596930064294
0.123.724713415826140.0205740358369699
0.133.730500621682750.0240819748984801
0.143.736987037670430.0273778446841806
0.153.744109500628660.0302369943815591
0.163.751764703445060.0325768894314658
0.173.759841679244330.0344592198882119
0.183.76825329036570.0361154851196475
0.193.776959222843890.0378552930815536
0.23.785975142148370.0399927426936381
0.213.795366357450060.0427536889001065
0.223.805228242298050.0461917785290111
0.233.815658619683720.0501849449653837
0.243.826728680152580.0544490228616658
0.253.838458682201070.058621780724322
0.263.850803056495880.0622983201889796
0.273.863647194733460.0651161295191435
0.283.876815755850670.0667925202221694
0.293.890090250395780.0671578332014584
0.33.903232279026030.0661857624699303
0.313.916008240365160.063973883574292
0.323.928211568091120.06072220279405
0.333.939679457531820.0567091755290069
0.343.950302352330840.052239225302058
0.353.960025888467540.0476121330505965
0.363.968846254384230.0430883144242083
0.373.976800809094230.0388575967382524
0.383.983956198897110.035048583193572
0.393.990396138185910.031715299248
0.43.996210577626840.0288538218133218
0.414.001487336317730.0264392817567061
0.424.006306594835580.0243851328049727
0.434.01073807388480.0226452697139845
0.444.014840344038150.0211486625734031
0.454.018661550182490.019851421058282
0.464.022240862055130.0187152892082256
0.474.025610118449210.0177143766580853
0.484.028795344031330.0168236116335016
0.494.031818018192480.0160273071627954
0.54.034696119311560.0153078147574769
0.514.037445035755730.0146549403781186
0.524.040078431947510.0140553141120649
0.534.04260910651020.0135162943687987
0.544.045049810258980.0130314035112059
0.554.047413933282590.0126118699825488
0.564.04971594252590.0122678347001249
0.574.051971462295330.0120120434976893
0.584.054196936878720.011842791887934
0.594.056408885705830.0117707057400479
0.64.058622841621240.0117827906081787
0.614.060852135592910.0118643936101261
0.624.063106741962260.0119901307355782
0.634.065392415867050.0121344532887107
0.644.067710331850080.0122583572947439
0.654.070057368475070.012344336297219
0.664.072427083007520.0123703676332683
0.674.074811294857590.0123318320563124
0.684.077202065069460.012230688478474
0.694.079593745172470.0120836221695749
0.74.081984697769630.0119225385698469
0.714.084378287134090.0117788139992196
0.724.086782818280470.011684135221344
0.734.089210273715490.0116608326410085
0.744.091673948606630.0117158555837328
0.754.094185387627970.0118318724418286
0.764.096751327589070.0119726758383042
0.774.099371573038480.012094913330605
0.784.102038781483310.0121438255971157
0.794.104740907504580.0120890919072671
0.84.107466469455690.0119234919603488
0.814.110211852204120.0116866757393803
0.824.112988688050230.011461036195884
0.834.115828327790440.0113633148095161
0.844.118780104844720.0115129873473983
0.854.121901148482760.0119651060597586
0.864.12523825560680.0126518230597107
0.874.12880632509590.013377750542795
0.884.132571499317850.0138727253186801
0.894.136447992301890.0138821736074019
0.94.140313595471130.0132684542472113
0.914.144040651647330.0120767127669993
0.924.147532204282950.0105261992616087
0.934.150756996065280.00891304862014086
0.944.153800766255830.00749007095452135
0.954.15698481870450.00649254440468426
0.964.16108171764140.0067195336345524
0.974.167440257014010.0101949378309621
0.984.177357637773970.018380263823451
0.994.189957349980310.0299508613803305

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 3.65513277490624 & 0.0140634052982171 \tabularnewline
0.02 & 3.66409738057237 & 0.0186177968892914 \tabularnewline
0.03 & 3.67441881901234 & 0.0194435382713781 \tabularnewline
0.04 & 3.68403032522784 & 0.0170764532734981 \tabularnewline
0.05 & 3.69195945348188 & 0.0138209535911913 \tabularnewline
0.06 & 3.69815239016641 & 0.0113472547051045 \tabularnewline
0.07 & 3.70304067218207 & 0.0102437342475516 \tabularnewline
0.08 & 3.7071843772373 & 0.0104767837263042 \tabularnewline
0.09 & 3.71108696181535 & 0.0118476691258566 \tabularnewline
0.1 & 3.71513960164873 & 0.014155940894207 \tabularnewline
0.11 & 3.71962200361283 & 0.0171596930064294 \tabularnewline
0.12 & 3.72471341582614 & 0.0205740358369699 \tabularnewline
0.13 & 3.73050062168275 & 0.0240819748984801 \tabularnewline
0.14 & 3.73698703767043 & 0.0273778446841806 \tabularnewline
0.15 & 3.74410950062866 & 0.0302369943815591 \tabularnewline
0.16 & 3.75176470344506 & 0.0325768894314658 \tabularnewline
0.17 & 3.75984167924433 & 0.0344592198882119 \tabularnewline
0.18 & 3.7682532903657 & 0.0361154851196475 \tabularnewline
0.19 & 3.77695922284389 & 0.0378552930815536 \tabularnewline
0.2 & 3.78597514214837 & 0.0399927426936381 \tabularnewline
0.21 & 3.79536635745006 & 0.0427536889001065 \tabularnewline
0.22 & 3.80522824229805 & 0.0461917785290111 \tabularnewline
0.23 & 3.81565861968372 & 0.0501849449653837 \tabularnewline
0.24 & 3.82672868015258 & 0.0544490228616658 \tabularnewline
0.25 & 3.83845868220107 & 0.058621780724322 \tabularnewline
0.26 & 3.85080305649588 & 0.0622983201889796 \tabularnewline
0.27 & 3.86364719473346 & 0.0651161295191435 \tabularnewline
0.28 & 3.87681575585067 & 0.0667925202221694 \tabularnewline
0.29 & 3.89009025039578 & 0.0671578332014584 \tabularnewline
0.3 & 3.90323227902603 & 0.0661857624699303 \tabularnewline
0.31 & 3.91600824036516 & 0.063973883574292 \tabularnewline
0.32 & 3.92821156809112 & 0.06072220279405 \tabularnewline
0.33 & 3.93967945753182 & 0.0567091755290069 \tabularnewline
0.34 & 3.95030235233084 & 0.052239225302058 \tabularnewline
0.35 & 3.96002588846754 & 0.0476121330505965 \tabularnewline
0.36 & 3.96884625438423 & 0.0430883144242083 \tabularnewline
0.37 & 3.97680080909423 & 0.0388575967382524 \tabularnewline
0.38 & 3.98395619889711 & 0.035048583193572 \tabularnewline
0.39 & 3.99039613818591 & 0.031715299248 \tabularnewline
0.4 & 3.99621057762684 & 0.0288538218133218 \tabularnewline
0.41 & 4.00148733631773 & 0.0264392817567061 \tabularnewline
0.42 & 4.00630659483558 & 0.0243851328049727 \tabularnewline
0.43 & 4.0107380738848 & 0.0226452697139845 \tabularnewline
0.44 & 4.01484034403815 & 0.0211486625734031 \tabularnewline
0.45 & 4.01866155018249 & 0.019851421058282 \tabularnewline
0.46 & 4.02224086205513 & 0.0187152892082256 \tabularnewline
0.47 & 4.02561011844921 & 0.0177143766580853 \tabularnewline
0.48 & 4.02879534403133 & 0.0168236116335016 \tabularnewline
0.49 & 4.03181801819248 & 0.0160273071627954 \tabularnewline
0.5 & 4.03469611931156 & 0.0153078147574769 \tabularnewline
0.51 & 4.03744503575573 & 0.0146549403781186 \tabularnewline
0.52 & 4.04007843194751 & 0.0140553141120649 \tabularnewline
0.53 & 4.0426091065102 & 0.0135162943687987 \tabularnewline
0.54 & 4.04504981025898 & 0.0130314035112059 \tabularnewline
0.55 & 4.04741393328259 & 0.0126118699825488 \tabularnewline
0.56 & 4.0497159425259 & 0.0122678347001249 \tabularnewline
0.57 & 4.05197146229533 & 0.0120120434976893 \tabularnewline
0.58 & 4.05419693687872 & 0.011842791887934 \tabularnewline
0.59 & 4.05640888570583 & 0.0117707057400479 \tabularnewline
0.6 & 4.05862284162124 & 0.0117827906081787 \tabularnewline
0.61 & 4.06085213559291 & 0.0118643936101261 \tabularnewline
0.62 & 4.06310674196226 & 0.0119901307355782 \tabularnewline
0.63 & 4.06539241586705 & 0.0121344532887107 \tabularnewline
0.64 & 4.06771033185008 & 0.0122583572947439 \tabularnewline
0.65 & 4.07005736847507 & 0.012344336297219 \tabularnewline
0.66 & 4.07242708300752 & 0.0123703676332683 \tabularnewline
0.67 & 4.07481129485759 & 0.0123318320563124 \tabularnewline
0.68 & 4.07720206506946 & 0.012230688478474 \tabularnewline
0.69 & 4.07959374517247 & 0.0120836221695749 \tabularnewline
0.7 & 4.08198469776963 & 0.0119225385698469 \tabularnewline
0.71 & 4.08437828713409 & 0.0117788139992196 \tabularnewline
0.72 & 4.08678281828047 & 0.011684135221344 \tabularnewline
0.73 & 4.08921027371549 & 0.0116608326410085 \tabularnewline
0.74 & 4.09167394860663 & 0.0117158555837328 \tabularnewline
0.75 & 4.09418538762797 & 0.0118318724418286 \tabularnewline
0.76 & 4.09675132758907 & 0.0119726758383042 \tabularnewline
0.77 & 4.09937157303848 & 0.012094913330605 \tabularnewline
0.78 & 4.10203878148331 & 0.0121438255971157 \tabularnewline
0.79 & 4.10474090750458 & 0.0120890919072671 \tabularnewline
0.8 & 4.10746646945569 & 0.0119234919603488 \tabularnewline
0.81 & 4.11021185220412 & 0.0116866757393803 \tabularnewline
0.82 & 4.11298868805023 & 0.011461036195884 \tabularnewline
0.83 & 4.11582832779044 & 0.0113633148095161 \tabularnewline
0.84 & 4.11878010484472 & 0.0115129873473983 \tabularnewline
0.85 & 4.12190114848276 & 0.0119651060597586 \tabularnewline
0.86 & 4.1252382556068 & 0.0126518230597107 \tabularnewline
0.87 & 4.1288063250959 & 0.013377750542795 \tabularnewline
0.88 & 4.13257149931785 & 0.0138727253186801 \tabularnewline
0.89 & 4.13644799230189 & 0.0138821736074019 \tabularnewline
0.9 & 4.14031359547113 & 0.0132684542472113 \tabularnewline
0.91 & 4.14404065164733 & 0.0120767127669993 \tabularnewline
0.92 & 4.14753220428295 & 0.0105261992616087 \tabularnewline
0.93 & 4.15075699606528 & 0.00891304862014086 \tabularnewline
0.94 & 4.15380076625583 & 0.00749007095452135 \tabularnewline
0.95 & 4.1569848187045 & 0.00649254440468426 \tabularnewline
0.96 & 4.1610817176414 & 0.0067195336345524 \tabularnewline
0.97 & 4.16744025701401 & 0.0101949378309621 \tabularnewline
0.98 & 4.17735763777397 & 0.018380263823451 \tabularnewline
0.99 & 4.18995734998031 & 0.0299508613803305 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=172499&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]3.65513277490624[/C][C]0.0140634052982171[/C][/ROW]
[ROW][C]0.02[/C][C]3.66409738057237[/C][C]0.0186177968892914[/C][/ROW]
[ROW][C]0.03[/C][C]3.67441881901234[/C][C]0.0194435382713781[/C][/ROW]
[ROW][C]0.04[/C][C]3.68403032522784[/C][C]0.0170764532734981[/C][/ROW]
[ROW][C]0.05[/C][C]3.69195945348188[/C][C]0.0138209535911913[/C][/ROW]
[ROW][C]0.06[/C][C]3.69815239016641[/C][C]0.0113472547051045[/C][/ROW]
[ROW][C]0.07[/C][C]3.70304067218207[/C][C]0.0102437342475516[/C][/ROW]
[ROW][C]0.08[/C][C]3.7071843772373[/C][C]0.0104767837263042[/C][/ROW]
[ROW][C]0.09[/C][C]3.71108696181535[/C][C]0.0118476691258566[/C][/ROW]
[ROW][C]0.1[/C][C]3.71513960164873[/C][C]0.014155940894207[/C][/ROW]
[ROW][C]0.11[/C][C]3.71962200361283[/C][C]0.0171596930064294[/C][/ROW]
[ROW][C]0.12[/C][C]3.72471341582614[/C][C]0.0205740358369699[/C][/ROW]
[ROW][C]0.13[/C][C]3.73050062168275[/C][C]0.0240819748984801[/C][/ROW]
[ROW][C]0.14[/C][C]3.73698703767043[/C][C]0.0273778446841806[/C][/ROW]
[ROW][C]0.15[/C][C]3.74410950062866[/C][C]0.0302369943815591[/C][/ROW]
[ROW][C]0.16[/C][C]3.75176470344506[/C][C]0.0325768894314658[/C][/ROW]
[ROW][C]0.17[/C][C]3.75984167924433[/C][C]0.0344592198882119[/C][/ROW]
[ROW][C]0.18[/C][C]3.7682532903657[/C][C]0.0361154851196475[/C][/ROW]
[ROW][C]0.19[/C][C]3.77695922284389[/C][C]0.0378552930815536[/C][/ROW]
[ROW][C]0.2[/C][C]3.78597514214837[/C][C]0.0399927426936381[/C][/ROW]
[ROW][C]0.21[/C][C]3.79536635745006[/C][C]0.0427536889001065[/C][/ROW]
[ROW][C]0.22[/C][C]3.80522824229805[/C][C]0.0461917785290111[/C][/ROW]
[ROW][C]0.23[/C][C]3.81565861968372[/C][C]0.0501849449653837[/C][/ROW]
[ROW][C]0.24[/C][C]3.82672868015258[/C][C]0.0544490228616658[/C][/ROW]
[ROW][C]0.25[/C][C]3.83845868220107[/C][C]0.058621780724322[/C][/ROW]
[ROW][C]0.26[/C][C]3.85080305649588[/C][C]0.0622983201889796[/C][/ROW]
[ROW][C]0.27[/C][C]3.86364719473346[/C][C]0.0651161295191435[/C][/ROW]
[ROW][C]0.28[/C][C]3.87681575585067[/C][C]0.0667925202221694[/C][/ROW]
[ROW][C]0.29[/C][C]3.89009025039578[/C][C]0.0671578332014584[/C][/ROW]
[ROW][C]0.3[/C][C]3.90323227902603[/C][C]0.0661857624699303[/C][/ROW]
[ROW][C]0.31[/C][C]3.91600824036516[/C][C]0.063973883574292[/C][/ROW]
[ROW][C]0.32[/C][C]3.92821156809112[/C][C]0.06072220279405[/C][/ROW]
[ROW][C]0.33[/C][C]3.93967945753182[/C][C]0.0567091755290069[/C][/ROW]
[ROW][C]0.34[/C][C]3.95030235233084[/C][C]0.052239225302058[/C][/ROW]
[ROW][C]0.35[/C][C]3.96002588846754[/C][C]0.0476121330505965[/C][/ROW]
[ROW][C]0.36[/C][C]3.96884625438423[/C][C]0.0430883144242083[/C][/ROW]
[ROW][C]0.37[/C][C]3.97680080909423[/C][C]0.0388575967382524[/C][/ROW]
[ROW][C]0.38[/C][C]3.98395619889711[/C][C]0.035048583193572[/C][/ROW]
[ROW][C]0.39[/C][C]3.99039613818591[/C][C]0.031715299248[/C][/ROW]
[ROW][C]0.4[/C][C]3.99621057762684[/C][C]0.0288538218133218[/C][/ROW]
[ROW][C]0.41[/C][C]4.00148733631773[/C][C]0.0264392817567061[/C][/ROW]
[ROW][C]0.42[/C][C]4.00630659483558[/C][C]0.0243851328049727[/C][/ROW]
[ROW][C]0.43[/C][C]4.0107380738848[/C][C]0.0226452697139845[/C][/ROW]
[ROW][C]0.44[/C][C]4.01484034403815[/C][C]0.0211486625734031[/C][/ROW]
[ROW][C]0.45[/C][C]4.01866155018249[/C][C]0.019851421058282[/C][/ROW]
[ROW][C]0.46[/C][C]4.02224086205513[/C][C]0.0187152892082256[/C][/ROW]
[ROW][C]0.47[/C][C]4.02561011844921[/C][C]0.0177143766580853[/C][/ROW]
[ROW][C]0.48[/C][C]4.02879534403133[/C][C]0.0168236116335016[/C][/ROW]
[ROW][C]0.49[/C][C]4.03181801819248[/C][C]0.0160273071627954[/C][/ROW]
[ROW][C]0.5[/C][C]4.03469611931156[/C][C]0.0153078147574769[/C][/ROW]
[ROW][C]0.51[/C][C]4.03744503575573[/C][C]0.0146549403781186[/C][/ROW]
[ROW][C]0.52[/C][C]4.04007843194751[/C][C]0.0140553141120649[/C][/ROW]
[ROW][C]0.53[/C][C]4.0426091065102[/C][C]0.0135162943687987[/C][/ROW]
[ROW][C]0.54[/C][C]4.04504981025898[/C][C]0.0130314035112059[/C][/ROW]
[ROW][C]0.55[/C][C]4.04741393328259[/C][C]0.0126118699825488[/C][/ROW]
[ROW][C]0.56[/C][C]4.0497159425259[/C][C]0.0122678347001249[/C][/ROW]
[ROW][C]0.57[/C][C]4.05197146229533[/C][C]0.0120120434976893[/C][/ROW]
[ROW][C]0.58[/C][C]4.05419693687872[/C][C]0.011842791887934[/C][/ROW]
[ROW][C]0.59[/C][C]4.05640888570583[/C][C]0.0117707057400479[/C][/ROW]
[ROW][C]0.6[/C][C]4.05862284162124[/C][C]0.0117827906081787[/C][/ROW]
[ROW][C]0.61[/C][C]4.06085213559291[/C][C]0.0118643936101261[/C][/ROW]
[ROW][C]0.62[/C][C]4.06310674196226[/C][C]0.0119901307355782[/C][/ROW]
[ROW][C]0.63[/C][C]4.06539241586705[/C][C]0.0121344532887107[/C][/ROW]
[ROW][C]0.64[/C][C]4.06771033185008[/C][C]0.0122583572947439[/C][/ROW]
[ROW][C]0.65[/C][C]4.07005736847507[/C][C]0.012344336297219[/C][/ROW]
[ROW][C]0.66[/C][C]4.07242708300752[/C][C]0.0123703676332683[/C][/ROW]
[ROW][C]0.67[/C][C]4.07481129485759[/C][C]0.0123318320563124[/C][/ROW]
[ROW][C]0.68[/C][C]4.07720206506946[/C][C]0.012230688478474[/C][/ROW]
[ROW][C]0.69[/C][C]4.07959374517247[/C][C]0.0120836221695749[/C][/ROW]
[ROW][C]0.7[/C][C]4.08198469776963[/C][C]0.0119225385698469[/C][/ROW]
[ROW][C]0.71[/C][C]4.08437828713409[/C][C]0.0117788139992196[/C][/ROW]
[ROW][C]0.72[/C][C]4.08678281828047[/C][C]0.011684135221344[/C][/ROW]
[ROW][C]0.73[/C][C]4.08921027371549[/C][C]0.0116608326410085[/C][/ROW]
[ROW][C]0.74[/C][C]4.09167394860663[/C][C]0.0117158555837328[/C][/ROW]
[ROW][C]0.75[/C][C]4.09418538762797[/C][C]0.0118318724418286[/C][/ROW]
[ROW][C]0.76[/C][C]4.09675132758907[/C][C]0.0119726758383042[/C][/ROW]
[ROW][C]0.77[/C][C]4.09937157303848[/C][C]0.012094913330605[/C][/ROW]
[ROW][C]0.78[/C][C]4.10203878148331[/C][C]0.0121438255971157[/C][/ROW]
[ROW][C]0.79[/C][C]4.10474090750458[/C][C]0.0120890919072671[/C][/ROW]
[ROW][C]0.8[/C][C]4.10746646945569[/C][C]0.0119234919603488[/C][/ROW]
[ROW][C]0.81[/C][C]4.11021185220412[/C][C]0.0116866757393803[/C][/ROW]
[ROW][C]0.82[/C][C]4.11298868805023[/C][C]0.011461036195884[/C][/ROW]
[ROW][C]0.83[/C][C]4.11582832779044[/C][C]0.0113633148095161[/C][/ROW]
[ROW][C]0.84[/C][C]4.11878010484472[/C][C]0.0115129873473983[/C][/ROW]
[ROW][C]0.85[/C][C]4.12190114848276[/C][C]0.0119651060597586[/C][/ROW]
[ROW][C]0.86[/C][C]4.1252382556068[/C][C]0.0126518230597107[/C][/ROW]
[ROW][C]0.87[/C][C]4.1288063250959[/C][C]0.013377750542795[/C][/ROW]
[ROW][C]0.88[/C][C]4.13257149931785[/C][C]0.0138727253186801[/C][/ROW]
[ROW][C]0.89[/C][C]4.13644799230189[/C][C]0.0138821736074019[/C][/ROW]
[ROW][C]0.9[/C][C]4.14031359547113[/C][C]0.0132684542472113[/C][/ROW]
[ROW][C]0.91[/C][C]4.14404065164733[/C][C]0.0120767127669993[/C][/ROW]
[ROW][C]0.92[/C][C]4.14753220428295[/C][C]0.0105261992616087[/C][/ROW]
[ROW][C]0.93[/C][C]4.15075699606528[/C][C]0.00891304862014086[/C][/ROW]
[ROW][C]0.94[/C][C]4.15380076625583[/C][C]0.00749007095452135[/C][/ROW]
[ROW][C]0.95[/C][C]4.1569848187045[/C][C]0.00649254440468426[/C][/ROW]
[ROW][C]0.96[/C][C]4.1610817176414[/C][C]0.0067195336345524[/C][/ROW]
[ROW][C]0.97[/C][C]4.16744025701401[/C][C]0.0101949378309621[/C][/ROW]
[ROW][C]0.98[/C][C]4.17735763777397[/C][C]0.018380263823451[/C][/ROW]
[ROW][C]0.99[/C][C]4.18995734998031[/C][C]0.0299508613803305[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=172499&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172499&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
0.013.655132774906240.0140634052982171
0.023.664097380572370.0186177968892914
0.033.674418819012340.0194435382713781
0.043.684030325227840.0170764532734981
0.053.691959453481880.0138209535911913
0.063.698152390166410.0113472547051045
0.073.703040672182070.0102437342475516
0.083.70718437723730.0104767837263042
0.093.711086961815350.0118476691258566
0.13.715139601648730.014155940894207
0.113.719622003612830.0171596930064294
0.123.724713415826140.0205740358369699
0.133.730500621682750.0240819748984801
0.143.736987037670430.0273778446841806
0.153.744109500628660.0302369943815591
0.163.751764703445060.0325768894314658
0.173.759841679244330.0344592198882119
0.183.76825329036570.0361154851196475
0.193.776959222843890.0378552930815536
0.23.785975142148370.0399927426936381
0.213.795366357450060.0427536889001065
0.223.805228242298050.0461917785290111
0.233.815658619683720.0501849449653837
0.243.826728680152580.0544490228616658
0.253.838458682201070.058621780724322
0.263.850803056495880.0622983201889796
0.273.863647194733460.0651161295191435
0.283.876815755850670.0667925202221694
0.293.890090250395780.0671578332014584
0.33.903232279026030.0661857624699303
0.313.916008240365160.063973883574292
0.323.928211568091120.06072220279405
0.333.939679457531820.0567091755290069
0.343.950302352330840.052239225302058
0.353.960025888467540.0476121330505965
0.363.968846254384230.0430883144242083
0.373.976800809094230.0388575967382524
0.383.983956198897110.035048583193572
0.393.990396138185910.031715299248
0.43.996210577626840.0288538218133218
0.414.001487336317730.0264392817567061
0.424.006306594835580.0243851328049727
0.434.01073807388480.0226452697139845
0.444.014840344038150.0211486625734031
0.454.018661550182490.019851421058282
0.464.022240862055130.0187152892082256
0.474.025610118449210.0177143766580853
0.484.028795344031330.0168236116335016
0.494.031818018192480.0160273071627954
0.54.034696119311560.0153078147574769
0.514.037445035755730.0146549403781186
0.524.040078431947510.0140553141120649
0.534.04260910651020.0135162943687987
0.544.045049810258980.0130314035112059
0.554.047413933282590.0126118699825488
0.564.04971594252590.0122678347001249
0.574.051971462295330.0120120434976893
0.584.054196936878720.011842791887934
0.594.056408885705830.0117707057400479
0.64.058622841621240.0117827906081787
0.614.060852135592910.0118643936101261
0.624.063106741962260.0119901307355782
0.634.065392415867050.0121344532887107
0.644.067710331850080.0122583572947439
0.654.070057368475070.012344336297219
0.664.072427083007520.0123703676332683
0.674.074811294857590.0123318320563124
0.684.077202065069460.012230688478474
0.694.079593745172470.0120836221695749
0.74.081984697769630.0119225385698469
0.714.084378287134090.0117788139992196
0.724.086782818280470.011684135221344
0.734.089210273715490.0116608326410085
0.744.091673948606630.0117158555837328
0.754.094185387627970.0118318724418286
0.764.096751327589070.0119726758383042
0.774.099371573038480.012094913330605
0.784.102038781483310.0121438255971157
0.794.104740907504580.0120890919072671
0.84.107466469455690.0119234919603488
0.814.110211852204120.0116866757393803
0.824.112988688050230.011461036195884
0.834.115828327790440.0113633148095161
0.844.118780104844720.0115129873473983
0.854.121901148482760.0119651060597586
0.864.12523825560680.0126518230597107
0.874.12880632509590.013377750542795
0.884.132571499317850.0138727253186801
0.894.136447992301890.0138821736074019
0.94.140313595471130.0132684542472113
0.914.144040651647330.0120767127669993
0.924.147532204282950.0105261992616087
0.934.150756996065280.00891304862014086
0.944.153800766255830.00749007095452135
0.954.15698481870450.00649254440468426
0.964.16108171764140.0067195336345524
0.974.167440257014010.0101949378309621
0.984.177357637773970.018380263823451
0.994.189957349980310.0299508613803305



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')