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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 10 Oct 2015 17:03:12 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Oct/10/t1444493024qa5m3xph8h3ggji.htm/, Retrieved Sat, 25 May 2024 21:35:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=282232, Retrieved Sat, 25 May 2024 21:35:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact72
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Opgave 4 oefening...] [2015-10-10 16:03:12] [8789eaa404fced65336e6b030ed5a277] [Current]
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Dataseries X:
100.71
100.75
100.75
100.70
100.77
100.44
100.17
100.21
100.27
100.29
100.33
100.35
100.94
101.07
101.01
100.86
100.71
99.95
100.02
100.03
100.04
99.73
99.76
99.83
100.08
99.35
99.43
99.53
99.03
99.05
99.07
99.23
99.03
99.06
99.13
99.14
100.91
100.97
100.55
100.68
100.31
100.31
99.28
99.24
99.29
99.27
99.26
99.25
99.57
98.97
99.00
98.88
98.90
98.92
98.80
98.83
98.88
98.88
98.89
98.89
99.05
99.20
99.13
98.92
98.98
98.99
99.08
99.10
99.10
99.06
99.05
99.11
99.75
99.80
99.95
99.69
99.55
99.14
99.05
99.00
99.03
99.16
99.01
99.00
99.90
100.18
100.20
100.13
99.85
99.88
99.88
99.89
99.96
100.05
100.04
100.06
99.72
99.70
99.63
99.73
99.77
99.76
99.61
99.61
99.59
99.42
99.52
99.46




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282232&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282232&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282232&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0198.81989481157640.0327777467804774
0.0298.84695177808980.0290453700333736
0.0398.86753068185240.0194992891532695
0.0498.88067572598990.0149850817758911
0.0598.8904924521430.017965239831556
0.0698.90047869301110.0242873648674575
0.0798.91219153584940.031180252346632
0.0898.92571060043130.0364233366543986
0.0998.94031152314070.0389384965750704
0.198.95499186092510.0385645241888928
0.1198.96886161829060.0361544575367387
0.1298.98137809909290.0326065666502057
0.1398.99239636233980.0293273751939104
0.1499.00207035637740.0267685445993851
0.1599.01069285704670.0251181435744631
0.1699.01856043853780.0242204299037914
0.1799.02590705100950.0235717773786567
0.1899.03290239472070.0233389467050942
0.1999.03968441997730.0232874297879598
0.299.04639332660990.0239458511781283
0.2199.05318782177590.0251134035961184
0.2299.060240748460.0271566540921162
0.2399.06772231066180.0296548829414396
0.2499.07578244193840.0328338936686773
0.2599.08454089996560.0364258664585648
0.2699.09408775236110.0401507234670436
0.2799.10449143517890.0442230887013927
0.2899.11580882175720.0485161990810242
0.2999.12809239165160.0532926715936468
0.399.14139265796460.0579537117127717
0.3199.15575749090790.0631806105869304
0.3299.17123184363850.0685659629090203
0.3399.18786060201430.0740525030034329
0.3499.20569430114290.079841756895867
0.3599.22479400221270.085905930503906
0.3699.2452297980590.0924959829836802
0.3799.26706856880450.0994681960773155
0.3899.29035059613140.106616618169261
0.3999.31505982835770.113555635990986
0.499.34109660246770.119780795587358
0.4199.36826251476520.124712507138364
0.4299.3962642669970.128139410850501
0.4399.42473769343690.129682587834244
0.4499.45328693753980.129330800674972
0.4599.48152923553690.127077586626744
0.4699.50913455619140.123345145821627
0.4799.53585168634060.118761746116337
0.4899.56151716775280.113734232429561
0.4999.58604890652510.108498117263926
0.599.6094303714090.103245730950751
0.5199.63169280128890.0982348140628258
0.5299.6529015286590.0935994836748184
0.5399.67314920689990.0894777403014717
0.5499.69255487983020.0856006854985521
0.5599.71126500191010.0826744221848151
0.5699.72945174017390.0804055254158289
0.5799.74730530734910.0788614980437213
0.5899.76501992522970.078547229461566
0.5999.78277597904010.0788614389635322
0.699.8007227066640.0797974968693446
0.6199.81896567843270.0811543261872623
0.6299.83756156778640.0823274136950741
0.6399.85652026938730.083569290732478
0.6499.87581253571180.0844547369115662
0.6599.89538082835940.0849969251136363
0.6699.91515199401320.08514749308592
0.6799.93505176079310.0848519682877741
0.6899.95502160874930.0843290775066701
0.6999.97503743218570.0836078156441414
0.799.99512682964930.0829932317297084
0.71100.0153792895390.0827268945805711
0.72100.0359429914680.0832667346779479
0.73100.0570048116160.0844730960239874
0.74100.0787561884560.0865739892373109
0.75100.1013547629130.0890212650672219
0.76100.124897179840.0917463375128048
0.77100.149419507650.0940355862705384
0.78100.1749370053410.0960433785573228
0.79100.2015241468840.0979408699044412
0.8100.2294192151420.100357041142662
0.81100.2591170029280.104632232808369
0.82100.2913938227620.111626411086384
0.83100.3272036281780.122124718210297
0.84100.3674100151280.135339289862422
0.85100.4123872709820.148956482152704
0.86100.4616211481210.159258170784148
0.87100.5135180481670.162601331052737
0.88100.5656210045890.156446561602147
0.89100.6152890946290.141223639193853
0.9100.6606558973850.120680760455504
0.91100.701456395040.100539665636718
0.92100.7392415695940.0868832572491777
0.93100.7766845964990.0823702505285544
0.94100.8161425655640.0836378850943043
0.95100.8582596048210.0834600633752127
0.96100.9017971113170.0766254485502842
0.97100.9454205975220.0643848803875064
0.98100.9901749918110.0538953167352732
0.99101.0366385407390.0526978326476816

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 98.8198948115764 & 0.0327777467804774 \tabularnewline
0.02 & 98.8469517780898 & 0.0290453700333736 \tabularnewline
0.03 & 98.8675306818524 & 0.0194992891532695 \tabularnewline
0.04 & 98.8806757259899 & 0.0149850817758911 \tabularnewline
0.05 & 98.890492452143 & 0.017965239831556 \tabularnewline
0.06 & 98.9004786930111 & 0.0242873648674575 \tabularnewline
0.07 & 98.9121915358494 & 0.031180252346632 \tabularnewline
0.08 & 98.9257106004313 & 0.0364233366543986 \tabularnewline
0.09 & 98.9403115231407 & 0.0389384965750704 \tabularnewline
0.1 & 98.9549918609251 & 0.0385645241888928 \tabularnewline
0.11 & 98.9688616182906 & 0.0361544575367387 \tabularnewline
0.12 & 98.9813780990929 & 0.0326065666502057 \tabularnewline
0.13 & 98.9923963623398 & 0.0293273751939104 \tabularnewline
0.14 & 99.0020703563774 & 0.0267685445993851 \tabularnewline
0.15 & 99.0106928570467 & 0.0251181435744631 \tabularnewline
0.16 & 99.0185604385378 & 0.0242204299037914 \tabularnewline
0.17 & 99.0259070510095 & 0.0235717773786567 \tabularnewline
0.18 & 99.0329023947207 & 0.0233389467050942 \tabularnewline
0.19 & 99.0396844199773 & 0.0232874297879598 \tabularnewline
0.2 & 99.0463933266099 & 0.0239458511781283 \tabularnewline
0.21 & 99.0531878217759 & 0.0251134035961184 \tabularnewline
0.22 & 99.06024074846 & 0.0271566540921162 \tabularnewline
0.23 & 99.0677223106618 & 0.0296548829414396 \tabularnewline
0.24 & 99.0757824419384 & 0.0328338936686773 \tabularnewline
0.25 & 99.0845408999656 & 0.0364258664585648 \tabularnewline
0.26 & 99.0940877523611 & 0.0401507234670436 \tabularnewline
0.27 & 99.1044914351789 & 0.0442230887013927 \tabularnewline
0.28 & 99.1158088217572 & 0.0485161990810242 \tabularnewline
0.29 & 99.1280923916516 & 0.0532926715936468 \tabularnewline
0.3 & 99.1413926579646 & 0.0579537117127717 \tabularnewline
0.31 & 99.1557574909079 & 0.0631806105869304 \tabularnewline
0.32 & 99.1712318436385 & 0.0685659629090203 \tabularnewline
0.33 & 99.1878606020143 & 0.0740525030034329 \tabularnewline
0.34 & 99.2056943011429 & 0.079841756895867 \tabularnewline
0.35 & 99.2247940022127 & 0.085905930503906 \tabularnewline
0.36 & 99.245229798059 & 0.0924959829836802 \tabularnewline
0.37 & 99.2670685688045 & 0.0994681960773155 \tabularnewline
0.38 & 99.2903505961314 & 0.106616618169261 \tabularnewline
0.39 & 99.3150598283577 & 0.113555635990986 \tabularnewline
0.4 & 99.3410966024677 & 0.119780795587358 \tabularnewline
0.41 & 99.3682625147652 & 0.124712507138364 \tabularnewline
0.42 & 99.396264266997 & 0.128139410850501 \tabularnewline
0.43 & 99.4247376934369 & 0.129682587834244 \tabularnewline
0.44 & 99.4532869375398 & 0.129330800674972 \tabularnewline
0.45 & 99.4815292355369 & 0.127077586626744 \tabularnewline
0.46 & 99.5091345561914 & 0.123345145821627 \tabularnewline
0.47 & 99.5358516863406 & 0.118761746116337 \tabularnewline
0.48 & 99.5615171677528 & 0.113734232429561 \tabularnewline
0.49 & 99.5860489065251 & 0.108498117263926 \tabularnewline
0.5 & 99.609430371409 & 0.103245730950751 \tabularnewline
0.51 & 99.6316928012889 & 0.0982348140628258 \tabularnewline
0.52 & 99.652901528659 & 0.0935994836748184 \tabularnewline
0.53 & 99.6731492068999 & 0.0894777403014717 \tabularnewline
0.54 & 99.6925548798302 & 0.0856006854985521 \tabularnewline
0.55 & 99.7112650019101 & 0.0826744221848151 \tabularnewline
0.56 & 99.7294517401739 & 0.0804055254158289 \tabularnewline
0.57 & 99.7473053073491 & 0.0788614980437213 \tabularnewline
0.58 & 99.7650199252297 & 0.078547229461566 \tabularnewline
0.59 & 99.7827759790401 & 0.0788614389635322 \tabularnewline
0.6 & 99.800722706664 & 0.0797974968693446 \tabularnewline
0.61 & 99.8189656784327 & 0.0811543261872623 \tabularnewline
0.62 & 99.8375615677864 & 0.0823274136950741 \tabularnewline
0.63 & 99.8565202693873 & 0.083569290732478 \tabularnewline
0.64 & 99.8758125357118 & 0.0844547369115662 \tabularnewline
0.65 & 99.8953808283594 & 0.0849969251136363 \tabularnewline
0.66 & 99.9151519940132 & 0.08514749308592 \tabularnewline
0.67 & 99.9350517607931 & 0.0848519682877741 \tabularnewline
0.68 & 99.9550216087493 & 0.0843290775066701 \tabularnewline
0.69 & 99.9750374321857 & 0.0836078156441414 \tabularnewline
0.7 & 99.9951268296493 & 0.0829932317297084 \tabularnewline
0.71 & 100.015379289539 & 0.0827268945805711 \tabularnewline
0.72 & 100.035942991468 & 0.0832667346779479 \tabularnewline
0.73 & 100.057004811616 & 0.0844730960239874 \tabularnewline
0.74 & 100.078756188456 & 0.0865739892373109 \tabularnewline
0.75 & 100.101354762913 & 0.0890212650672219 \tabularnewline
0.76 & 100.12489717984 & 0.0917463375128048 \tabularnewline
0.77 & 100.14941950765 & 0.0940355862705384 \tabularnewline
0.78 & 100.174937005341 & 0.0960433785573228 \tabularnewline
0.79 & 100.201524146884 & 0.0979408699044412 \tabularnewline
0.8 & 100.229419215142 & 0.100357041142662 \tabularnewline
0.81 & 100.259117002928 & 0.104632232808369 \tabularnewline
0.82 & 100.291393822762 & 0.111626411086384 \tabularnewline
0.83 & 100.327203628178 & 0.122124718210297 \tabularnewline
0.84 & 100.367410015128 & 0.135339289862422 \tabularnewline
0.85 & 100.412387270982 & 0.148956482152704 \tabularnewline
0.86 & 100.461621148121 & 0.159258170784148 \tabularnewline
0.87 & 100.513518048167 & 0.162601331052737 \tabularnewline
0.88 & 100.565621004589 & 0.156446561602147 \tabularnewline
0.89 & 100.615289094629 & 0.141223639193853 \tabularnewline
0.9 & 100.660655897385 & 0.120680760455504 \tabularnewline
0.91 & 100.70145639504 & 0.100539665636718 \tabularnewline
0.92 & 100.739241569594 & 0.0868832572491777 \tabularnewline
0.93 & 100.776684596499 & 0.0823702505285544 \tabularnewline
0.94 & 100.816142565564 & 0.0836378850943043 \tabularnewline
0.95 & 100.858259604821 & 0.0834600633752127 \tabularnewline
0.96 & 100.901797111317 & 0.0766254485502842 \tabularnewline
0.97 & 100.945420597522 & 0.0643848803875064 \tabularnewline
0.98 & 100.990174991811 & 0.0538953167352732 \tabularnewline
0.99 & 101.036638540739 & 0.0526978326476816 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282232&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]98.8198948115764[/C][C]0.0327777467804774[/C][/ROW]
[ROW][C]0.02[/C][C]98.8469517780898[/C][C]0.0290453700333736[/C][/ROW]
[ROW][C]0.03[/C][C]98.8675306818524[/C][C]0.0194992891532695[/C][/ROW]
[ROW][C]0.04[/C][C]98.8806757259899[/C][C]0.0149850817758911[/C][/ROW]
[ROW][C]0.05[/C][C]98.890492452143[/C][C]0.017965239831556[/C][/ROW]
[ROW][C]0.06[/C][C]98.9004786930111[/C][C]0.0242873648674575[/C][/ROW]
[ROW][C]0.07[/C][C]98.9121915358494[/C][C]0.031180252346632[/C][/ROW]
[ROW][C]0.08[/C][C]98.9257106004313[/C][C]0.0364233366543986[/C][/ROW]
[ROW][C]0.09[/C][C]98.9403115231407[/C][C]0.0389384965750704[/C][/ROW]
[ROW][C]0.1[/C][C]98.9549918609251[/C][C]0.0385645241888928[/C][/ROW]
[ROW][C]0.11[/C][C]98.9688616182906[/C][C]0.0361544575367387[/C][/ROW]
[ROW][C]0.12[/C][C]98.9813780990929[/C][C]0.0326065666502057[/C][/ROW]
[ROW][C]0.13[/C][C]98.9923963623398[/C][C]0.0293273751939104[/C][/ROW]
[ROW][C]0.14[/C][C]99.0020703563774[/C][C]0.0267685445993851[/C][/ROW]
[ROW][C]0.15[/C][C]99.0106928570467[/C][C]0.0251181435744631[/C][/ROW]
[ROW][C]0.16[/C][C]99.0185604385378[/C][C]0.0242204299037914[/C][/ROW]
[ROW][C]0.17[/C][C]99.0259070510095[/C][C]0.0235717773786567[/C][/ROW]
[ROW][C]0.18[/C][C]99.0329023947207[/C][C]0.0233389467050942[/C][/ROW]
[ROW][C]0.19[/C][C]99.0396844199773[/C][C]0.0232874297879598[/C][/ROW]
[ROW][C]0.2[/C][C]99.0463933266099[/C][C]0.0239458511781283[/C][/ROW]
[ROW][C]0.21[/C][C]99.0531878217759[/C][C]0.0251134035961184[/C][/ROW]
[ROW][C]0.22[/C][C]99.06024074846[/C][C]0.0271566540921162[/C][/ROW]
[ROW][C]0.23[/C][C]99.0677223106618[/C][C]0.0296548829414396[/C][/ROW]
[ROW][C]0.24[/C][C]99.0757824419384[/C][C]0.0328338936686773[/C][/ROW]
[ROW][C]0.25[/C][C]99.0845408999656[/C][C]0.0364258664585648[/C][/ROW]
[ROW][C]0.26[/C][C]99.0940877523611[/C][C]0.0401507234670436[/C][/ROW]
[ROW][C]0.27[/C][C]99.1044914351789[/C][C]0.0442230887013927[/C][/ROW]
[ROW][C]0.28[/C][C]99.1158088217572[/C][C]0.0485161990810242[/C][/ROW]
[ROW][C]0.29[/C][C]99.1280923916516[/C][C]0.0532926715936468[/C][/ROW]
[ROW][C]0.3[/C][C]99.1413926579646[/C][C]0.0579537117127717[/C][/ROW]
[ROW][C]0.31[/C][C]99.1557574909079[/C][C]0.0631806105869304[/C][/ROW]
[ROW][C]0.32[/C][C]99.1712318436385[/C][C]0.0685659629090203[/C][/ROW]
[ROW][C]0.33[/C][C]99.1878606020143[/C][C]0.0740525030034329[/C][/ROW]
[ROW][C]0.34[/C][C]99.2056943011429[/C][C]0.079841756895867[/C][/ROW]
[ROW][C]0.35[/C][C]99.2247940022127[/C][C]0.085905930503906[/C][/ROW]
[ROW][C]0.36[/C][C]99.245229798059[/C][C]0.0924959829836802[/C][/ROW]
[ROW][C]0.37[/C][C]99.2670685688045[/C][C]0.0994681960773155[/C][/ROW]
[ROW][C]0.38[/C][C]99.2903505961314[/C][C]0.106616618169261[/C][/ROW]
[ROW][C]0.39[/C][C]99.3150598283577[/C][C]0.113555635990986[/C][/ROW]
[ROW][C]0.4[/C][C]99.3410966024677[/C][C]0.119780795587358[/C][/ROW]
[ROW][C]0.41[/C][C]99.3682625147652[/C][C]0.124712507138364[/C][/ROW]
[ROW][C]0.42[/C][C]99.396264266997[/C][C]0.128139410850501[/C][/ROW]
[ROW][C]0.43[/C][C]99.4247376934369[/C][C]0.129682587834244[/C][/ROW]
[ROW][C]0.44[/C][C]99.4532869375398[/C][C]0.129330800674972[/C][/ROW]
[ROW][C]0.45[/C][C]99.4815292355369[/C][C]0.127077586626744[/C][/ROW]
[ROW][C]0.46[/C][C]99.5091345561914[/C][C]0.123345145821627[/C][/ROW]
[ROW][C]0.47[/C][C]99.5358516863406[/C][C]0.118761746116337[/C][/ROW]
[ROW][C]0.48[/C][C]99.5615171677528[/C][C]0.113734232429561[/C][/ROW]
[ROW][C]0.49[/C][C]99.5860489065251[/C][C]0.108498117263926[/C][/ROW]
[ROW][C]0.5[/C][C]99.609430371409[/C][C]0.103245730950751[/C][/ROW]
[ROW][C]0.51[/C][C]99.6316928012889[/C][C]0.0982348140628258[/C][/ROW]
[ROW][C]0.52[/C][C]99.652901528659[/C][C]0.0935994836748184[/C][/ROW]
[ROW][C]0.53[/C][C]99.6731492068999[/C][C]0.0894777403014717[/C][/ROW]
[ROW][C]0.54[/C][C]99.6925548798302[/C][C]0.0856006854985521[/C][/ROW]
[ROW][C]0.55[/C][C]99.7112650019101[/C][C]0.0826744221848151[/C][/ROW]
[ROW][C]0.56[/C][C]99.7294517401739[/C][C]0.0804055254158289[/C][/ROW]
[ROW][C]0.57[/C][C]99.7473053073491[/C][C]0.0788614980437213[/C][/ROW]
[ROW][C]0.58[/C][C]99.7650199252297[/C][C]0.078547229461566[/C][/ROW]
[ROW][C]0.59[/C][C]99.7827759790401[/C][C]0.0788614389635322[/C][/ROW]
[ROW][C]0.6[/C][C]99.800722706664[/C][C]0.0797974968693446[/C][/ROW]
[ROW][C]0.61[/C][C]99.8189656784327[/C][C]0.0811543261872623[/C][/ROW]
[ROW][C]0.62[/C][C]99.8375615677864[/C][C]0.0823274136950741[/C][/ROW]
[ROW][C]0.63[/C][C]99.8565202693873[/C][C]0.083569290732478[/C][/ROW]
[ROW][C]0.64[/C][C]99.8758125357118[/C][C]0.0844547369115662[/C][/ROW]
[ROW][C]0.65[/C][C]99.8953808283594[/C][C]0.0849969251136363[/C][/ROW]
[ROW][C]0.66[/C][C]99.9151519940132[/C][C]0.08514749308592[/C][/ROW]
[ROW][C]0.67[/C][C]99.9350517607931[/C][C]0.0848519682877741[/C][/ROW]
[ROW][C]0.68[/C][C]99.9550216087493[/C][C]0.0843290775066701[/C][/ROW]
[ROW][C]0.69[/C][C]99.9750374321857[/C][C]0.0836078156441414[/C][/ROW]
[ROW][C]0.7[/C][C]99.9951268296493[/C][C]0.0829932317297084[/C][/ROW]
[ROW][C]0.71[/C][C]100.015379289539[/C][C]0.0827268945805711[/C][/ROW]
[ROW][C]0.72[/C][C]100.035942991468[/C][C]0.0832667346779479[/C][/ROW]
[ROW][C]0.73[/C][C]100.057004811616[/C][C]0.0844730960239874[/C][/ROW]
[ROW][C]0.74[/C][C]100.078756188456[/C][C]0.0865739892373109[/C][/ROW]
[ROW][C]0.75[/C][C]100.101354762913[/C][C]0.0890212650672219[/C][/ROW]
[ROW][C]0.76[/C][C]100.12489717984[/C][C]0.0917463375128048[/C][/ROW]
[ROW][C]0.77[/C][C]100.14941950765[/C][C]0.0940355862705384[/C][/ROW]
[ROW][C]0.78[/C][C]100.174937005341[/C][C]0.0960433785573228[/C][/ROW]
[ROW][C]0.79[/C][C]100.201524146884[/C][C]0.0979408699044412[/C][/ROW]
[ROW][C]0.8[/C][C]100.229419215142[/C][C]0.100357041142662[/C][/ROW]
[ROW][C]0.81[/C][C]100.259117002928[/C][C]0.104632232808369[/C][/ROW]
[ROW][C]0.82[/C][C]100.291393822762[/C][C]0.111626411086384[/C][/ROW]
[ROW][C]0.83[/C][C]100.327203628178[/C][C]0.122124718210297[/C][/ROW]
[ROW][C]0.84[/C][C]100.367410015128[/C][C]0.135339289862422[/C][/ROW]
[ROW][C]0.85[/C][C]100.412387270982[/C][C]0.148956482152704[/C][/ROW]
[ROW][C]0.86[/C][C]100.461621148121[/C][C]0.159258170784148[/C][/ROW]
[ROW][C]0.87[/C][C]100.513518048167[/C][C]0.162601331052737[/C][/ROW]
[ROW][C]0.88[/C][C]100.565621004589[/C][C]0.156446561602147[/C][/ROW]
[ROW][C]0.89[/C][C]100.615289094629[/C][C]0.141223639193853[/C][/ROW]
[ROW][C]0.9[/C][C]100.660655897385[/C][C]0.120680760455504[/C][/ROW]
[ROW][C]0.91[/C][C]100.70145639504[/C][C]0.100539665636718[/C][/ROW]
[ROW][C]0.92[/C][C]100.739241569594[/C][C]0.0868832572491777[/C][/ROW]
[ROW][C]0.93[/C][C]100.776684596499[/C][C]0.0823702505285544[/C][/ROW]
[ROW][C]0.94[/C][C]100.816142565564[/C][C]0.0836378850943043[/C][/ROW]
[ROW][C]0.95[/C][C]100.858259604821[/C][C]0.0834600633752127[/C][/ROW]
[ROW][C]0.96[/C][C]100.901797111317[/C][C]0.0766254485502842[/C][/ROW]
[ROW][C]0.97[/C][C]100.945420597522[/C][C]0.0643848803875064[/C][/ROW]
[ROW][C]0.98[/C][C]100.990174991811[/C][C]0.0538953167352732[/C][/ROW]
[ROW][C]0.99[/C][C]101.036638540739[/C][C]0.0526978326476816[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282232&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282232&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
0.0198.81989481157640.0327777467804774
0.0298.84695177808980.0290453700333736
0.0398.86753068185240.0194992891532695
0.0498.88067572598990.0149850817758911
0.0598.8904924521430.017965239831556
0.0698.90047869301110.0242873648674575
0.0798.91219153584940.031180252346632
0.0898.92571060043130.0364233366543986
0.0998.94031152314070.0389384965750704
0.198.95499186092510.0385645241888928
0.1198.96886161829060.0361544575367387
0.1298.98137809909290.0326065666502057
0.1398.99239636233980.0293273751939104
0.1499.00207035637740.0267685445993851
0.1599.01069285704670.0251181435744631
0.1699.01856043853780.0242204299037914
0.1799.02590705100950.0235717773786567
0.1899.03290239472070.0233389467050942
0.1999.03968441997730.0232874297879598
0.299.04639332660990.0239458511781283
0.2199.05318782177590.0251134035961184
0.2299.060240748460.0271566540921162
0.2399.06772231066180.0296548829414396
0.2499.07578244193840.0328338936686773
0.2599.08454089996560.0364258664585648
0.2699.09408775236110.0401507234670436
0.2799.10449143517890.0442230887013927
0.2899.11580882175720.0485161990810242
0.2999.12809239165160.0532926715936468
0.399.14139265796460.0579537117127717
0.3199.15575749090790.0631806105869304
0.3299.17123184363850.0685659629090203
0.3399.18786060201430.0740525030034329
0.3499.20569430114290.079841756895867
0.3599.22479400221270.085905930503906
0.3699.2452297980590.0924959829836802
0.3799.26706856880450.0994681960773155
0.3899.29035059613140.106616618169261
0.3999.31505982835770.113555635990986
0.499.34109660246770.119780795587358
0.4199.36826251476520.124712507138364
0.4299.3962642669970.128139410850501
0.4399.42473769343690.129682587834244
0.4499.45328693753980.129330800674972
0.4599.48152923553690.127077586626744
0.4699.50913455619140.123345145821627
0.4799.53585168634060.118761746116337
0.4899.56151716775280.113734232429561
0.4999.58604890652510.108498117263926
0.599.6094303714090.103245730950751
0.5199.63169280128890.0982348140628258
0.5299.6529015286590.0935994836748184
0.5399.67314920689990.0894777403014717
0.5499.69255487983020.0856006854985521
0.5599.71126500191010.0826744221848151
0.5699.72945174017390.0804055254158289
0.5799.74730530734910.0788614980437213
0.5899.76501992522970.078547229461566
0.5999.78277597904010.0788614389635322
0.699.8007227066640.0797974968693446
0.6199.81896567843270.0811543261872623
0.6299.83756156778640.0823274136950741
0.6399.85652026938730.083569290732478
0.6499.87581253571180.0844547369115662
0.6599.89538082835940.0849969251136363
0.6699.91515199401320.08514749308592
0.6799.93505176079310.0848519682877741
0.6899.95502160874930.0843290775066701
0.6999.97503743218570.0836078156441414
0.799.99512682964930.0829932317297084
0.71100.0153792895390.0827268945805711
0.72100.0359429914680.0832667346779479
0.73100.0570048116160.0844730960239874
0.74100.0787561884560.0865739892373109
0.75100.1013547629130.0890212650672219
0.76100.124897179840.0917463375128048
0.77100.149419507650.0940355862705384
0.78100.1749370053410.0960433785573228
0.79100.2015241468840.0979408699044412
0.8100.2294192151420.100357041142662
0.81100.2591170029280.104632232808369
0.82100.2913938227620.111626411086384
0.83100.3272036281780.122124718210297
0.84100.3674100151280.135339289862422
0.85100.4123872709820.148956482152704
0.86100.4616211481210.159258170784148
0.87100.5135180481670.162601331052737
0.88100.5656210045890.156446561602147
0.89100.6152890946290.141223639193853
0.9100.6606558973850.120680760455504
0.91100.701456395040.100539665636718
0.92100.7392415695940.0868832572491777
0.93100.7766845964990.0823702505285544
0.94100.8161425655640.0836378850943043
0.95100.8582596048210.0834600633752127
0.96100.9017971113170.0766254485502842
0.97100.9454205975220.0643848803875064
0.98100.9901749918110.0538953167352732
0.99101.0366385407390.0526978326476816



Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.10'
par2 <- '0.99'
par1 <- '0.01'
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')