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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 03 Oct 2012 12:26:24 -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/03/t1349281620ri6c2lfwwqvsha0.htm/, Retrieved Sat, 27 Apr 2024 14:33:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=171639, Retrieved Sat, 27 Apr 2024 14:33:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact52
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Percentielen gemi...] [2012-10-03 16:26:24] [3afff8224e6da3a7e2f9dd48a805005a] [Current]
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Dataseries X:
1.01
1.02
1.04
1.06
1.06
1.06
1.06
1.06
1.02
0.98
0.99
0.99
0.94
0.96
0.98
1.01
1.01
1.02
1.04
1.03
1.05
1.08
1.17
1.11
1.11
1.11
1.2
1.21
1.31
1.37
1.37
1.26
1.23
1.17
1.06
0.95
0.92
0.92
0.9
0.93
0.93
0.97
0.96
0.99
0.98
0.96
1
0.99
1.03
1.02
1.07
1.13
1.15
1.16
1.14
1.15
1.15
1.16
1.17
1.22
1.26
1.29
1.36
1.38
1.37
1.37
1.37
1.36
1.38
1.4
1.44
1.42




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=171639&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=171639&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=171639&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.9052728763154410.0154833013585913
0.020.9123446536531670.0108733310298325
0.030.9187554122907050.00871171907836287
0.040.9240427409296790.00903462400222442
0.050.9287057040918730.0103737608355807
0.060.9332281345952370.0118196661011794
0.070.9378101073424790.0129815108228392
0.080.9424448396311080.0136817185873392
0.090.947039827547550.013905226131305
0.10.9514957725636680.0137745170846166
0.110.9557443351244290.0134714691140982
0.120.9597575275228530.0131507284729481
0.130.9635395785371660.0128825409405144
0.140.9671116685653890.0126619511523841
0.150.9704984010154610.0124475984209375
0.160.9737208092652560.012211418751127
0.170.9767960222402780.0119598707118766
0.180.9797406804168560.0117301647503111
0.190.9825745677470460.0115739524073508
0.20.9853220624831130.0115332387574184
0.210.9880107556640830.0116247431524951
0.220.9906680125380370.0118348114677021
0.230.9933169435996240.0121241091359844
0.240.9959732296996110.0124395057142632
0.250.9986437571823210.0127293521411459
0.261.001327352435810.0129543253874707
0.271.004017289594970.0130988960855606
0.281.006704821069910.0131723433893721
0.291.009382806531460.013200902882841
0.31.01204858448760.0132264878727949
0.311.014705486185910.0132940600615598
0.321.017362750727740.013439980690654
0.331.020033972772630.0136839960780062
0.341.02273452270310.0140263126591918
0.351.02547857210930.0144440588211607
0.361.028276413420620.0149021518083495
0.371.03113268646570.0153524183274213
0.381.034045940810820.0157584624939706
0.391.037009706576760.016085811294234
0.41.040014959636360.0163291274909269
0.411.043053593464390.0165015077476208
0.421.04612229242970.0166458558647245
0.431.049226078060950.0168274627992807
0.441.052380798202710.0171279815304995
0.451.055613959145650.0176320221884914
0.461.058963550170790.0184053782142871
0.471.06247484151440.0194876979533473
0.481.066195493284720.0208719897449232
0.491.070169627077610.022506301012804
0.51.074431721220710.0243021009501862
0.511.079001251678460.0261437050255151
0.521.083878901477210.0279060910145144
0.531.08904492415760.0294639918805429
0.541.094459921865090.0307124422877581
0.551.100067951958070.0315703069150124
0.561.105801571230280.0319916058282926
0.571.111588210648660.0319700353951093
0.581.117357166551750.0315349568422996
0.591.123046490922010.0307553856557257
0.61.128609139127780.0297281652873935
0.611.134017856615420.0285730169655348
0.621.139268428668890.0274260295274444
0.631.144381063182270.0264268448620231
0.641.149399821863570.0257142402375155
0.651.154390165420860.0254048712587942
0.661.159434838687290.0255858290705937
0.671.16462848959030.0263029440322941
0.681.17007157335160.0275530931508841
0.691.175864204836660.029290519624957
0.71.182100639462920.0314396666561828
0.711.18886493890410.0339070090052954
0.721.196228085248810.0365964261183674
0.731.20424636402220.0394179439501439
0.741.212960323893390.0422943213073862
0.751.222393188013540.0451490702407574
0.761.232547434148480.047900488685637
0.771.243398566857380.0504411643408636
0.781.254885976802140.0526197411785237
0.791.266902147106290.0542333142113599
0.81.279283018684470.0550348695029828
0.811.291803543071580.0547632308897613
0.821.304182718530760.0531967879722856
0.831.316101246397260.0502138169320939
0.841.327232285451620.045847142786467
0.851.337282132237160.04031711482416
0.861.346034081898820.0340250835849523
0.871.353386565984590.0274993732188715
0.881.359377052905880.0213162684632994
0.891.364186544795890.0160095051997142
0.91.368125089067540.0120147786917996
0.911.371604458655650.00965446746268912
0.921.375106777625750.00908021647027109
0.931.379154234497470.0101248074132125
0.941.384275182562640.0123794284955383
0.951.390951638360360.0153183748183522
0.961.399526745136950.018190682814063
0.971.410028809647110.020038832002677
0.981.421804078479770.0202899589270924
0.991.432909874960710.0197381528133722

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.905272876315441 & 0.0154833013585913 \tabularnewline
0.02 & 0.912344653653167 & 0.0108733310298325 \tabularnewline
0.03 & 0.918755412290705 & 0.00871171907836287 \tabularnewline
0.04 & 0.924042740929679 & 0.00903462400222442 \tabularnewline
0.05 & 0.928705704091873 & 0.0103737608355807 \tabularnewline
0.06 & 0.933228134595237 & 0.0118196661011794 \tabularnewline
0.07 & 0.937810107342479 & 0.0129815108228392 \tabularnewline
0.08 & 0.942444839631108 & 0.0136817185873392 \tabularnewline
0.09 & 0.94703982754755 & 0.013905226131305 \tabularnewline
0.1 & 0.951495772563668 & 0.0137745170846166 \tabularnewline
0.11 & 0.955744335124429 & 0.0134714691140982 \tabularnewline
0.12 & 0.959757527522853 & 0.0131507284729481 \tabularnewline
0.13 & 0.963539578537166 & 0.0128825409405144 \tabularnewline
0.14 & 0.967111668565389 & 0.0126619511523841 \tabularnewline
0.15 & 0.970498401015461 & 0.0124475984209375 \tabularnewline
0.16 & 0.973720809265256 & 0.012211418751127 \tabularnewline
0.17 & 0.976796022240278 & 0.0119598707118766 \tabularnewline
0.18 & 0.979740680416856 & 0.0117301647503111 \tabularnewline
0.19 & 0.982574567747046 & 0.0115739524073508 \tabularnewline
0.2 & 0.985322062483113 & 0.0115332387574184 \tabularnewline
0.21 & 0.988010755664083 & 0.0116247431524951 \tabularnewline
0.22 & 0.990668012538037 & 0.0118348114677021 \tabularnewline
0.23 & 0.993316943599624 & 0.0121241091359844 \tabularnewline
0.24 & 0.995973229699611 & 0.0124395057142632 \tabularnewline
0.25 & 0.998643757182321 & 0.0127293521411459 \tabularnewline
0.26 & 1.00132735243581 & 0.0129543253874707 \tabularnewline
0.27 & 1.00401728959497 & 0.0130988960855606 \tabularnewline
0.28 & 1.00670482106991 & 0.0131723433893721 \tabularnewline
0.29 & 1.00938280653146 & 0.013200902882841 \tabularnewline
0.3 & 1.0120485844876 & 0.0132264878727949 \tabularnewline
0.31 & 1.01470548618591 & 0.0132940600615598 \tabularnewline
0.32 & 1.01736275072774 & 0.013439980690654 \tabularnewline
0.33 & 1.02003397277263 & 0.0136839960780062 \tabularnewline
0.34 & 1.0227345227031 & 0.0140263126591918 \tabularnewline
0.35 & 1.0254785721093 & 0.0144440588211607 \tabularnewline
0.36 & 1.02827641342062 & 0.0149021518083495 \tabularnewline
0.37 & 1.0311326864657 & 0.0153524183274213 \tabularnewline
0.38 & 1.03404594081082 & 0.0157584624939706 \tabularnewline
0.39 & 1.03700970657676 & 0.016085811294234 \tabularnewline
0.4 & 1.04001495963636 & 0.0163291274909269 \tabularnewline
0.41 & 1.04305359346439 & 0.0165015077476208 \tabularnewline
0.42 & 1.0461222924297 & 0.0166458558647245 \tabularnewline
0.43 & 1.04922607806095 & 0.0168274627992807 \tabularnewline
0.44 & 1.05238079820271 & 0.0171279815304995 \tabularnewline
0.45 & 1.05561395914565 & 0.0176320221884914 \tabularnewline
0.46 & 1.05896355017079 & 0.0184053782142871 \tabularnewline
0.47 & 1.0624748415144 & 0.0194876979533473 \tabularnewline
0.48 & 1.06619549328472 & 0.0208719897449232 \tabularnewline
0.49 & 1.07016962707761 & 0.022506301012804 \tabularnewline
0.5 & 1.07443172122071 & 0.0243021009501862 \tabularnewline
0.51 & 1.07900125167846 & 0.0261437050255151 \tabularnewline
0.52 & 1.08387890147721 & 0.0279060910145144 \tabularnewline
0.53 & 1.0890449241576 & 0.0294639918805429 \tabularnewline
0.54 & 1.09445992186509 & 0.0307124422877581 \tabularnewline
0.55 & 1.10006795195807 & 0.0315703069150124 \tabularnewline
0.56 & 1.10580157123028 & 0.0319916058282926 \tabularnewline
0.57 & 1.11158821064866 & 0.0319700353951093 \tabularnewline
0.58 & 1.11735716655175 & 0.0315349568422996 \tabularnewline
0.59 & 1.12304649092201 & 0.0307553856557257 \tabularnewline
0.6 & 1.12860913912778 & 0.0297281652873935 \tabularnewline
0.61 & 1.13401785661542 & 0.0285730169655348 \tabularnewline
0.62 & 1.13926842866889 & 0.0274260295274444 \tabularnewline
0.63 & 1.14438106318227 & 0.0264268448620231 \tabularnewline
0.64 & 1.14939982186357 & 0.0257142402375155 \tabularnewline
0.65 & 1.15439016542086 & 0.0254048712587942 \tabularnewline
0.66 & 1.15943483868729 & 0.0255858290705937 \tabularnewline
0.67 & 1.1646284895903 & 0.0263029440322941 \tabularnewline
0.68 & 1.1700715733516 & 0.0275530931508841 \tabularnewline
0.69 & 1.17586420483666 & 0.029290519624957 \tabularnewline
0.7 & 1.18210063946292 & 0.0314396666561828 \tabularnewline
0.71 & 1.1888649389041 & 0.0339070090052954 \tabularnewline
0.72 & 1.19622808524881 & 0.0365964261183674 \tabularnewline
0.73 & 1.2042463640222 & 0.0394179439501439 \tabularnewline
0.74 & 1.21296032389339 & 0.0422943213073862 \tabularnewline
0.75 & 1.22239318801354 & 0.0451490702407574 \tabularnewline
0.76 & 1.23254743414848 & 0.047900488685637 \tabularnewline
0.77 & 1.24339856685738 & 0.0504411643408636 \tabularnewline
0.78 & 1.25488597680214 & 0.0526197411785237 \tabularnewline
0.79 & 1.26690214710629 & 0.0542333142113599 \tabularnewline
0.8 & 1.27928301868447 & 0.0550348695029828 \tabularnewline
0.81 & 1.29180354307158 & 0.0547632308897613 \tabularnewline
0.82 & 1.30418271853076 & 0.0531967879722856 \tabularnewline
0.83 & 1.31610124639726 & 0.0502138169320939 \tabularnewline
0.84 & 1.32723228545162 & 0.045847142786467 \tabularnewline
0.85 & 1.33728213223716 & 0.04031711482416 \tabularnewline
0.86 & 1.34603408189882 & 0.0340250835849523 \tabularnewline
0.87 & 1.35338656598459 & 0.0274993732188715 \tabularnewline
0.88 & 1.35937705290588 & 0.0213162684632994 \tabularnewline
0.89 & 1.36418654479589 & 0.0160095051997142 \tabularnewline
0.9 & 1.36812508906754 & 0.0120147786917996 \tabularnewline
0.91 & 1.37160445865565 & 0.00965446746268912 \tabularnewline
0.92 & 1.37510677762575 & 0.00908021647027109 \tabularnewline
0.93 & 1.37915423449747 & 0.0101248074132125 \tabularnewline
0.94 & 1.38427518256264 & 0.0123794284955383 \tabularnewline
0.95 & 1.39095163836036 & 0.0153183748183522 \tabularnewline
0.96 & 1.39952674513695 & 0.018190682814063 \tabularnewline
0.97 & 1.41002880964711 & 0.020038832002677 \tabularnewline
0.98 & 1.42180407847977 & 0.0202899589270924 \tabularnewline
0.99 & 1.43290987496071 & 0.0197381528133722 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=171639&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]0.905272876315441[/C][C]0.0154833013585913[/C][/ROW]
[ROW][C]0.02[/C][C]0.912344653653167[/C][C]0.0108733310298325[/C][/ROW]
[ROW][C]0.03[/C][C]0.918755412290705[/C][C]0.00871171907836287[/C][/ROW]
[ROW][C]0.04[/C][C]0.924042740929679[/C][C]0.00903462400222442[/C][/ROW]
[ROW][C]0.05[/C][C]0.928705704091873[/C][C]0.0103737608355807[/C][/ROW]
[ROW][C]0.06[/C][C]0.933228134595237[/C][C]0.0118196661011794[/C][/ROW]
[ROW][C]0.07[/C][C]0.937810107342479[/C][C]0.0129815108228392[/C][/ROW]
[ROW][C]0.08[/C][C]0.942444839631108[/C][C]0.0136817185873392[/C][/ROW]
[ROW][C]0.09[/C][C]0.94703982754755[/C][C]0.013905226131305[/C][/ROW]
[ROW][C]0.1[/C][C]0.951495772563668[/C][C]0.0137745170846166[/C][/ROW]
[ROW][C]0.11[/C][C]0.955744335124429[/C][C]0.0134714691140982[/C][/ROW]
[ROW][C]0.12[/C][C]0.959757527522853[/C][C]0.0131507284729481[/C][/ROW]
[ROW][C]0.13[/C][C]0.963539578537166[/C][C]0.0128825409405144[/C][/ROW]
[ROW][C]0.14[/C][C]0.967111668565389[/C][C]0.0126619511523841[/C][/ROW]
[ROW][C]0.15[/C][C]0.970498401015461[/C][C]0.0124475984209375[/C][/ROW]
[ROW][C]0.16[/C][C]0.973720809265256[/C][C]0.012211418751127[/C][/ROW]
[ROW][C]0.17[/C][C]0.976796022240278[/C][C]0.0119598707118766[/C][/ROW]
[ROW][C]0.18[/C][C]0.979740680416856[/C][C]0.0117301647503111[/C][/ROW]
[ROW][C]0.19[/C][C]0.982574567747046[/C][C]0.0115739524073508[/C][/ROW]
[ROW][C]0.2[/C][C]0.985322062483113[/C][C]0.0115332387574184[/C][/ROW]
[ROW][C]0.21[/C][C]0.988010755664083[/C][C]0.0116247431524951[/C][/ROW]
[ROW][C]0.22[/C][C]0.990668012538037[/C][C]0.0118348114677021[/C][/ROW]
[ROW][C]0.23[/C][C]0.993316943599624[/C][C]0.0121241091359844[/C][/ROW]
[ROW][C]0.24[/C][C]0.995973229699611[/C][C]0.0124395057142632[/C][/ROW]
[ROW][C]0.25[/C][C]0.998643757182321[/C][C]0.0127293521411459[/C][/ROW]
[ROW][C]0.26[/C][C]1.00132735243581[/C][C]0.0129543253874707[/C][/ROW]
[ROW][C]0.27[/C][C]1.00401728959497[/C][C]0.0130988960855606[/C][/ROW]
[ROW][C]0.28[/C][C]1.00670482106991[/C][C]0.0131723433893721[/C][/ROW]
[ROW][C]0.29[/C][C]1.00938280653146[/C][C]0.013200902882841[/C][/ROW]
[ROW][C]0.3[/C][C]1.0120485844876[/C][C]0.0132264878727949[/C][/ROW]
[ROW][C]0.31[/C][C]1.01470548618591[/C][C]0.0132940600615598[/C][/ROW]
[ROW][C]0.32[/C][C]1.01736275072774[/C][C]0.013439980690654[/C][/ROW]
[ROW][C]0.33[/C][C]1.02003397277263[/C][C]0.0136839960780062[/C][/ROW]
[ROW][C]0.34[/C][C]1.0227345227031[/C][C]0.0140263126591918[/C][/ROW]
[ROW][C]0.35[/C][C]1.0254785721093[/C][C]0.0144440588211607[/C][/ROW]
[ROW][C]0.36[/C][C]1.02827641342062[/C][C]0.0149021518083495[/C][/ROW]
[ROW][C]0.37[/C][C]1.0311326864657[/C][C]0.0153524183274213[/C][/ROW]
[ROW][C]0.38[/C][C]1.03404594081082[/C][C]0.0157584624939706[/C][/ROW]
[ROW][C]0.39[/C][C]1.03700970657676[/C][C]0.016085811294234[/C][/ROW]
[ROW][C]0.4[/C][C]1.04001495963636[/C][C]0.0163291274909269[/C][/ROW]
[ROW][C]0.41[/C][C]1.04305359346439[/C][C]0.0165015077476208[/C][/ROW]
[ROW][C]0.42[/C][C]1.0461222924297[/C][C]0.0166458558647245[/C][/ROW]
[ROW][C]0.43[/C][C]1.04922607806095[/C][C]0.0168274627992807[/C][/ROW]
[ROW][C]0.44[/C][C]1.05238079820271[/C][C]0.0171279815304995[/C][/ROW]
[ROW][C]0.45[/C][C]1.05561395914565[/C][C]0.0176320221884914[/C][/ROW]
[ROW][C]0.46[/C][C]1.05896355017079[/C][C]0.0184053782142871[/C][/ROW]
[ROW][C]0.47[/C][C]1.0624748415144[/C][C]0.0194876979533473[/C][/ROW]
[ROW][C]0.48[/C][C]1.06619549328472[/C][C]0.0208719897449232[/C][/ROW]
[ROW][C]0.49[/C][C]1.07016962707761[/C][C]0.022506301012804[/C][/ROW]
[ROW][C]0.5[/C][C]1.07443172122071[/C][C]0.0243021009501862[/C][/ROW]
[ROW][C]0.51[/C][C]1.07900125167846[/C][C]0.0261437050255151[/C][/ROW]
[ROW][C]0.52[/C][C]1.08387890147721[/C][C]0.0279060910145144[/C][/ROW]
[ROW][C]0.53[/C][C]1.0890449241576[/C][C]0.0294639918805429[/C][/ROW]
[ROW][C]0.54[/C][C]1.09445992186509[/C][C]0.0307124422877581[/C][/ROW]
[ROW][C]0.55[/C][C]1.10006795195807[/C][C]0.0315703069150124[/C][/ROW]
[ROW][C]0.56[/C][C]1.10580157123028[/C][C]0.0319916058282926[/C][/ROW]
[ROW][C]0.57[/C][C]1.11158821064866[/C][C]0.0319700353951093[/C][/ROW]
[ROW][C]0.58[/C][C]1.11735716655175[/C][C]0.0315349568422996[/C][/ROW]
[ROW][C]0.59[/C][C]1.12304649092201[/C][C]0.0307553856557257[/C][/ROW]
[ROW][C]0.6[/C][C]1.12860913912778[/C][C]0.0297281652873935[/C][/ROW]
[ROW][C]0.61[/C][C]1.13401785661542[/C][C]0.0285730169655348[/C][/ROW]
[ROW][C]0.62[/C][C]1.13926842866889[/C][C]0.0274260295274444[/C][/ROW]
[ROW][C]0.63[/C][C]1.14438106318227[/C][C]0.0264268448620231[/C][/ROW]
[ROW][C]0.64[/C][C]1.14939982186357[/C][C]0.0257142402375155[/C][/ROW]
[ROW][C]0.65[/C][C]1.15439016542086[/C][C]0.0254048712587942[/C][/ROW]
[ROW][C]0.66[/C][C]1.15943483868729[/C][C]0.0255858290705937[/C][/ROW]
[ROW][C]0.67[/C][C]1.1646284895903[/C][C]0.0263029440322941[/C][/ROW]
[ROW][C]0.68[/C][C]1.1700715733516[/C][C]0.0275530931508841[/C][/ROW]
[ROW][C]0.69[/C][C]1.17586420483666[/C][C]0.029290519624957[/C][/ROW]
[ROW][C]0.7[/C][C]1.18210063946292[/C][C]0.0314396666561828[/C][/ROW]
[ROW][C]0.71[/C][C]1.1888649389041[/C][C]0.0339070090052954[/C][/ROW]
[ROW][C]0.72[/C][C]1.19622808524881[/C][C]0.0365964261183674[/C][/ROW]
[ROW][C]0.73[/C][C]1.2042463640222[/C][C]0.0394179439501439[/C][/ROW]
[ROW][C]0.74[/C][C]1.21296032389339[/C][C]0.0422943213073862[/C][/ROW]
[ROW][C]0.75[/C][C]1.22239318801354[/C][C]0.0451490702407574[/C][/ROW]
[ROW][C]0.76[/C][C]1.23254743414848[/C][C]0.047900488685637[/C][/ROW]
[ROW][C]0.77[/C][C]1.24339856685738[/C][C]0.0504411643408636[/C][/ROW]
[ROW][C]0.78[/C][C]1.25488597680214[/C][C]0.0526197411785237[/C][/ROW]
[ROW][C]0.79[/C][C]1.26690214710629[/C][C]0.0542333142113599[/C][/ROW]
[ROW][C]0.8[/C][C]1.27928301868447[/C][C]0.0550348695029828[/C][/ROW]
[ROW][C]0.81[/C][C]1.29180354307158[/C][C]0.0547632308897613[/C][/ROW]
[ROW][C]0.82[/C][C]1.30418271853076[/C][C]0.0531967879722856[/C][/ROW]
[ROW][C]0.83[/C][C]1.31610124639726[/C][C]0.0502138169320939[/C][/ROW]
[ROW][C]0.84[/C][C]1.32723228545162[/C][C]0.045847142786467[/C][/ROW]
[ROW][C]0.85[/C][C]1.33728213223716[/C][C]0.04031711482416[/C][/ROW]
[ROW][C]0.86[/C][C]1.34603408189882[/C][C]0.0340250835849523[/C][/ROW]
[ROW][C]0.87[/C][C]1.35338656598459[/C][C]0.0274993732188715[/C][/ROW]
[ROW][C]0.88[/C][C]1.35937705290588[/C][C]0.0213162684632994[/C][/ROW]
[ROW][C]0.89[/C][C]1.36418654479589[/C][C]0.0160095051997142[/C][/ROW]
[ROW][C]0.9[/C][C]1.36812508906754[/C][C]0.0120147786917996[/C][/ROW]
[ROW][C]0.91[/C][C]1.37160445865565[/C][C]0.00965446746268912[/C][/ROW]
[ROW][C]0.92[/C][C]1.37510677762575[/C][C]0.00908021647027109[/C][/ROW]
[ROW][C]0.93[/C][C]1.37915423449747[/C][C]0.0101248074132125[/C][/ROW]
[ROW][C]0.94[/C][C]1.38427518256264[/C][C]0.0123794284955383[/C][/ROW]
[ROW][C]0.95[/C][C]1.39095163836036[/C][C]0.0153183748183522[/C][/ROW]
[ROW][C]0.96[/C][C]1.39952674513695[/C][C]0.018190682814063[/C][/ROW]
[ROW][C]0.97[/C][C]1.41002880964711[/C][C]0.020038832002677[/C][/ROW]
[ROW][C]0.98[/C][C]1.42180407847977[/C][C]0.0202899589270924[/C][/ROW]
[ROW][C]0.99[/C][C]1.43290987496071[/C][C]0.0197381528133722[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=171639&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=171639&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.9052728763154410.0154833013585913
0.020.9123446536531670.0108733310298325
0.030.9187554122907050.00871171907836287
0.040.9240427409296790.00903462400222442
0.050.9287057040918730.0103737608355807
0.060.9332281345952370.0118196661011794
0.070.9378101073424790.0129815108228392
0.080.9424448396311080.0136817185873392
0.090.947039827547550.013905226131305
0.10.9514957725636680.0137745170846166
0.110.9557443351244290.0134714691140982
0.120.9597575275228530.0131507284729481
0.130.9635395785371660.0128825409405144
0.140.9671116685653890.0126619511523841
0.150.9704984010154610.0124475984209375
0.160.9737208092652560.012211418751127
0.170.9767960222402780.0119598707118766
0.180.9797406804168560.0117301647503111
0.190.9825745677470460.0115739524073508
0.20.9853220624831130.0115332387574184
0.210.9880107556640830.0116247431524951
0.220.9906680125380370.0118348114677021
0.230.9933169435996240.0121241091359844
0.240.9959732296996110.0124395057142632
0.250.9986437571823210.0127293521411459
0.261.001327352435810.0129543253874707
0.271.004017289594970.0130988960855606
0.281.006704821069910.0131723433893721
0.291.009382806531460.013200902882841
0.31.01204858448760.0132264878727949
0.311.014705486185910.0132940600615598
0.321.017362750727740.013439980690654
0.331.020033972772630.0136839960780062
0.341.02273452270310.0140263126591918
0.351.02547857210930.0144440588211607
0.361.028276413420620.0149021518083495
0.371.03113268646570.0153524183274213
0.381.034045940810820.0157584624939706
0.391.037009706576760.016085811294234
0.41.040014959636360.0163291274909269
0.411.043053593464390.0165015077476208
0.421.04612229242970.0166458558647245
0.431.049226078060950.0168274627992807
0.441.052380798202710.0171279815304995
0.451.055613959145650.0176320221884914
0.461.058963550170790.0184053782142871
0.471.06247484151440.0194876979533473
0.481.066195493284720.0208719897449232
0.491.070169627077610.022506301012804
0.51.074431721220710.0243021009501862
0.511.079001251678460.0261437050255151
0.521.083878901477210.0279060910145144
0.531.08904492415760.0294639918805429
0.541.094459921865090.0307124422877581
0.551.100067951958070.0315703069150124
0.561.105801571230280.0319916058282926
0.571.111588210648660.0319700353951093
0.581.117357166551750.0315349568422996
0.591.123046490922010.0307553856557257
0.61.128609139127780.0297281652873935
0.611.134017856615420.0285730169655348
0.621.139268428668890.0274260295274444
0.631.144381063182270.0264268448620231
0.641.149399821863570.0257142402375155
0.651.154390165420860.0254048712587942
0.661.159434838687290.0255858290705937
0.671.16462848959030.0263029440322941
0.681.17007157335160.0275530931508841
0.691.175864204836660.029290519624957
0.71.182100639462920.0314396666561828
0.711.18886493890410.0339070090052954
0.721.196228085248810.0365964261183674
0.731.20424636402220.0394179439501439
0.741.212960323893390.0422943213073862
0.751.222393188013540.0451490702407574
0.761.232547434148480.047900488685637
0.771.243398566857380.0504411643408636
0.781.254885976802140.0526197411785237
0.791.266902147106290.0542333142113599
0.81.279283018684470.0550348695029828
0.811.291803543071580.0547632308897613
0.821.304182718530760.0531967879722856
0.831.316101246397260.0502138169320939
0.841.327232285451620.045847142786467
0.851.337282132237160.04031711482416
0.861.346034081898820.0340250835849523
0.871.353386565984590.0274993732188715
0.881.359377052905880.0213162684632994
0.891.364186544795890.0160095051997142
0.91.368125089067540.0120147786917996
0.911.371604458655650.00965446746268912
0.921.375106777625750.00908021647027109
0.931.379154234497470.0101248074132125
0.941.384275182562640.0123794284955383
0.951.390951638360360.0153183748183522
0.961.399526745136950.018190682814063
0.971.410028809647110.020038832002677
0.981.421804078479770.0202899589270924
0.991.432909874960710.0197381528133722



Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
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')