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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 01 Mar 2008 10:28:51 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Mar/01/t1204392669qhlzvpy07airndk.htm/, Retrieved Mon, 20 May 2024 07:26:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9435, Retrieved Mon, 20 May 2024 07:26:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact185
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [telefoongesprekke...] [2008-03-01 17:28:51] [5e6e1828961460912353a47164e3bace] [Current]
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Dataseries X:
105,18
105,18
105,18
105,18
105,18
105,18
105,18
105,18
105,18
105,18
97,82
97,83
97,82
97,83
97,82
97,82
97,8
97,8
97,44
97,44
97,44
97,44
97,7
97,7
97,7
97,7
97,7
97,7
97,7
97,7
97,7
97,7
97,7
89,38
89,38
89,38
89,38
87,69
89,21
89,21
89,21
89,21
89,21
89,21
89,21
89,21
89,21
89,21
89,21
89,21
89,21
89,21
89,21
89,21
89,21
89,21
89,21
89,21
89,21
89,21
89,21
89,21
89,21
89,21
89,21
89,21
89,21
89,21
89,21
89,21
92,07
92,07
92,07
92,07
92,07
92,07
92,07
92,07
92,07
92,07
94
94
94
94
94
94
94
94
94
94
94
94
94
94
94
94




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9435&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9435&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9435&T=0

As an alternative you can also use a QR Code:  

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

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0188.22651117327390.978968143463135
0.0288.78242692734260.429114898045858
0.0389.07406557977840.137680371602376
0.0489.176348615720.0344125429789225
0.0589.20322409276630.00699877738952637
0.0689.20885526560410.00119288762410482
0.0789.20983397866570.000173648198445638
0.0889.20997896549042.26497650146484e-05
0.0989.20999764000347.54992167154948e-06
0.189.20999976438970
0.1189.20999998580110
0.1289.2100000296810
0.1389.21000012320270
0.1489.21000044496670
0.1589.21000148653260
0.1689.2100046232293.61915773204034e-05
0.1789.21001344929246.99550790799442e-05
0.1889.21003674897120.000174599268261099
0.1989.2100946633640.000349198536522199
0.289.21023063455480.0009086450790404
0.2189.21053299387680.00199417955535102
0.2289.2111713234710.00416803177312596
0.2389.2124533337390.00824506984692683
0.2489.21490695434390.0155015827477129
0.2589.21938838580810.0278985234163913
0.2689.22720896574760.0479426670278732
0.2789.24026181177170.0787248265443352
0.2889.26111513505320.123930023642754
0.2989.29302714666130.186665338684234
0.389.33983393902150.269428414521284
0.3189.4056732082680.372815030902526
0.3289.49453693337780.494770866611935
0.3389.60969267775220.63028573430069
0.3489.75306549336880.771163375796785
0.3589.92471326799960.906899682062846
0.3690.12253908139381.02643598942131
0.3790.34235229239771.11982721410394
0.3890.57831652409451.18029466196007
0.3990.82372433804691.20559323550905
0.491.07194431945681.19859867786234
0.4191.31732822986811.16669927834802
0.4291.55586614912341.12025727394879
0.4391.78543988296871.07005845678158
0.4492.00563216691891.02486659167460
0.4592.2171688186720.98919990725327
0.4692.42116647717070.962455557048683
0.4792.6184020404690.939687484735621
0.4892.8088011527460.913829138165763
0.4992.99127185446140.878301112940137
0.593.16391080948860.829116827316804
0.5193.32451404461030.765726621165355
0.5293.47125761569650.691615799992541
0.5393.60338903034280.613684637824829
0.5493.72178542073190.541407140292471
0.5593.82927544121980.486103132708883
0.5693.93067045546140.460237748143271
0.5794.03249250142570.474442814217588
0.5894.14241684287540.533588420289278
0.5994.26847032095780.634898909556146
0.694.41805260571770.769911050711915
0.6194.5968821644930.92603956972137
0.6294.80800897506861.08775932109417
0.6395.05106700837321.23728501202357
0.6495.32194029266271.35672491317057
0.6595.61297000788591.43070285924428
0.6695.9137346265191.44884132750688
0.6796.21230944824251.40762203393988
0.6896.4967919444991.31134635172807
0.6996.75680553452931.17078132763395
0.796.98469488705431.00140664503959
0.7197.17620362421540.820497603697906
0.7297.33055598327370.644056098807818
0.7397.4500054146710.48476566400595
0.7497.53902279937530.350650714457717
0.7597.6033491783990.245341991900709
0.7697.64913241243290.168493058297327
0.7797.68232662628370.117580159391985
0.7897.70848988440150.0899273924588095
0.7997.73309210967350.084664838984195
0.897.76243533785540.104772096743032
0.8197.8052419304220.159024793507850
0.8297.8747926241510.264329531785162
0.8397.9911044207410.444524151751625
0.8498.18203422799390.724604302520193
0.8598.4816161814051.11887773100465
0.8698.92393232695951.61457833953223
0.8799.53205210890512.15670010414166
0.88100.3043078312382.64537887769094
0.89101.2034971869932.95615549144428
0.9102.1562426448912.98386461327044
0.91103.0671605455352.69346770543286
0.92103.8452986269772.14804966683022
0.93104.4320535233111.49049037568104
0.94104.8166880975290.881976377004823
0.95105.0315478137710.43307327833806
0.96105.1310683496170.169593712593511
0.97105.1678053901180.0497023801332612
0.98105.1779552325780.00972240342643318
0.99105.1798263210890.000954067625958397

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 88.2265111732739 & 0.978968143463135 \tabularnewline
0.02 & 88.7824269273426 & 0.429114898045858 \tabularnewline
0.03 & 89.0740655797784 & 0.137680371602376 \tabularnewline
0.04 & 89.17634861572 & 0.0344125429789225 \tabularnewline
0.05 & 89.2032240927663 & 0.00699877738952637 \tabularnewline
0.06 & 89.2088552656041 & 0.00119288762410482 \tabularnewline
0.07 & 89.2098339786657 & 0.000173648198445638 \tabularnewline
0.08 & 89.2099789654904 & 2.26497650146484e-05 \tabularnewline
0.09 & 89.2099976400034 & 7.54992167154948e-06 \tabularnewline
0.1 & 89.2099997643897 & 0 \tabularnewline
0.11 & 89.2099999858011 & 0 \tabularnewline
0.12 & 89.210000029681 & 0 \tabularnewline
0.13 & 89.2100001232027 & 0 \tabularnewline
0.14 & 89.2100004449667 & 0 \tabularnewline
0.15 & 89.2100014865326 & 0 \tabularnewline
0.16 & 89.210004623229 & 3.61915773204034e-05 \tabularnewline
0.17 & 89.2100134492924 & 6.99550790799442e-05 \tabularnewline
0.18 & 89.2100367489712 & 0.000174599268261099 \tabularnewline
0.19 & 89.210094663364 & 0.000349198536522199 \tabularnewline
0.2 & 89.2102306345548 & 0.0009086450790404 \tabularnewline
0.21 & 89.2105329938768 & 0.00199417955535102 \tabularnewline
0.22 & 89.211171323471 & 0.00416803177312596 \tabularnewline
0.23 & 89.212453333739 & 0.00824506984692683 \tabularnewline
0.24 & 89.2149069543439 & 0.0155015827477129 \tabularnewline
0.25 & 89.2193883858081 & 0.0278985234163913 \tabularnewline
0.26 & 89.2272089657476 & 0.0479426670278732 \tabularnewline
0.27 & 89.2402618117717 & 0.0787248265443352 \tabularnewline
0.28 & 89.2611151350532 & 0.123930023642754 \tabularnewline
0.29 & 89.2930271466613 & 0.186665338684234 \tabularnewline
0.3 & 89.3398339390215 & 0.269428414521284 \tabularnewline
0.31 & 89.405673208268 & 0.372815030902526 \tabularnewline
0.32 & 89.4945369333778 & 0.494770866611935 \tabularnewline
0.33 & 89.6096926777522 & 0.63028573430069 \tabularnewline
0.34 & 89.7530654933688 & 0.771163375796785 \tabularnewline
0.35 & 89.9247132679996 & 0.906899682062846 \tabularnewline
0.36 & 90.1225390813938 & 1.02643598942131 \tabularnewline
0.37 & 90.3423522923977 & 1.11982721410394 \tabularnewline
0.38 & 90.5783165240945 & 1.18029466196007 \tabularnewline
0.39 & 90.8237243380469 & 1.20559323550905 \tabularnewline
0.4 & 91.0719443194568 & 1.19859867786234 \tabularnewline
0.41 & 91.3173282298681 & 1.16669927834802 \tabularnewline
0.42 & 91.5558661491234 & 1.12025727394879 \tabularnewline
0.43 & 91.7854398829687 & 1.07005845678158 \tabularnewline
0.44 & 92.0056321669189 & 1.02486659167460 \tabularnewline
0.45 & 92.217168818672 & 0.98919990725327 \tabularnewline
0.46 & 92.4211664771707 & 0.962455557048683 \tabularnewline
0.47 & 92.618402040469 & 0.939687484735621 \tabularnewline
0.48 & 92.808801152746 & 0.913829138165763 \tabularnewline
0.49 & 92.9912718544614 & 0.878301112940137 \tabularnewline
0.5 & 93.1639108094886 & 0.829116827316804 \tabularnewline
0.51 & 93.3245140446103 & 0.765726621165355 \tabularnewline
0.52 & 93.4712576156965 & 0.691615799992541 \tabularnewline
0.53 & 93.6033890303428 & 0.613684637824829 \tabularnewline
0.54 & 93.7217854207319 & 0.541407140292471 \tabularnewline
0.55 & 93.8292754412198 & 0.486103132708883 \tabularnewline
0.56 & 93.9306704554614 & 0.460237748143271 \tabularnewline
0.57 & 94.0324925014257 & 0.474442814217588 \tabularnewline
0.58 & 94.1424168428754 & 0.533588420289278 \tabularnewline
0.59 & 94.2684703209578 & 0.634898909556146 \tabularnewline
0.6 & 94.4180526057177 & 0.769911050711915 \tabularnewline
0.61 & 94.596882164493 & 0.92603956972137 \tabularnewline
0.62 & 94.8080089750686 & 1.08775932109417 \tabularnewline
0.63 & 95.0510670083732 & 1.23728501202357 \tabularnewline
0.64 & 95.3219402926627 & 1.35672491317057 \tabularnewline
0.65 & 95.6129700078859 & 1.43070285924428 \tabularnewline
0.66 & 95.913734626519 & 1.44884132750688 \tabularnewline
0.67 & 96.2123094482425 & 1.40762203393988 \tabularnewline
0.68 & 96.496791944499 & 1.31134635172807 \tabularnewline
0.69 & 96.7568055345293 & 1.17078132763395 \tabularnewline
0.7 & 96.9846948870543 & 1.00140664503959 \tabularnewline
0.71 & 97.1762036242154 & 0.820497603697906 \tabularnewline
0.72 & 97.3305559832737 & 0.644056098807818 \tabularnewline
0.73 & 97.450005414671 & 0.48476566400595 \tabularnewline
0.74 & 97.5390227993753 & 0.350650714457717 \tabularnewline
0.75 & 97.603349178399 & 0.245341991900709 \tabularnewline
0.76 & 97.6491324124329 & 0.168493058297327 \tabularnewline
0.77 & 97.6823266262837 & 0.117580159391985 \tabularnewline
0.78 & 97.7084898844015 & 0.0899273924588095 \tabularnewline
0.79 & 97.7330921096735 & 0.084664838984195 \tabularnewline
0.8 & 97.7624353378554 & 0.104772096743032 \tabularnewline
0.81 & 97.805241930422 & 0.159024793507850 \tabularnewline
0.82 & 97.874792624151 & 0.264329531785162 \tabularnewline
0.83 & 97.991104420741 & 0.444524151751625 \tabularnewline
0.84 & 98.1820342279939 & 0.724604302520193 \tabularnewline
0.85 & 98.481616181405 & 1.11887773100465 \tabularnewline
0.86 & 98.9239323269595 & 1.61457833953223 \tabularnewline
0.87 & 99.5320521089051 & 2.15670010414166 \tabularnewline
0.88 & 100.304307831238 & 2.64537887769094 \tabularnewline
0.89 & 101.203497186993 & 2.95615549144428 \tabularnewline
0.9 & 102.156242644891 & 2.98386461327044 \tabularnewline
0.91 & 103.067160545535 & 2.69346770543286 \tabularnewline
0.92 & 103.845298626977 & 2.14804966683022 \tabularnewline
0.93 & 104.432053523311 & 1.49049037568104 \tabularnewline
0.94 & 104.816688097529 & 0.881976377004823 \tabularnewline
0.95 & 105.031547813771 & 0.43307327833806 \tabularnewline
0.96 & 105.131068349617 & 0.169593712593511 \tabularnewline
0.97 & 105.167805390118 & 0.0497023801332612 \tabularnewline
0.98 & 105.177955232578 & 0.00972240342643318 \tabularnewline
0.99 & 105.179826321089 & 0.000954067625958397 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9435&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]88.2265111732739[/C][C]0.978968143463135[/C][/ROW]
[ROW][C]0.02[/C][C]88.7824269273426[/C][C]0.429114898045858[/C][/ROW]
[ROW][C]0.03[/C][C]89.0740655797784[/C][C]0.137680371602376[/C][/ROW]
[ROW][C]0.04[/C][C]89.17634861572[/C][C]0.0344125429789225[/C][/ROW]
[ROW][C]0.05[/C][C]89.2032240927663[/C][C]0.00699877738952637[/C][/ROW]
[ROW][C]0.06[/C][C]89.2088552656041[/C][C]0.00119288762410482[/C][/ROW]
[ROW][C]0.07[/C][C]89.2098339786657[/C][C]0.000173648198445638[/C][/ROW]
[ROW][C]0.08[/C][C]89.2099789654904[/C][C]2.26497650146484e-05[/C][/ROW]
[ROW][C]0.09[/C][C]89.2099976400034[/C][C]7.54992167154948e-06[/C][/ROW]
[ROW][C]0.1[/C][C]89.2099997643897[/C][C]0[/C][/ROW]
[ROW][C]0.11[/C][C]89.2099999858011[/C][C]0[/C][/ROW]
[ROW][C]0.12[/C][C]89.210000029681[/C][C]0[/C][/ROW]
[ROW][C]0.13[/C][C]89.2100001232027[/C][C]0[/C][/ROW]
[ROW][C]0.14[/C][C]89.2100004449667[/C][C]0[/C][/ROW]
[ROW][C]0.15[/C][C]89.2100014865326[/C][C]0[/C][/ROW]
[ROW][C]0.16[/C][C]89.210004623229[/C][C]3.61915773204034e-05[/C][/ROW]
[ROW][C]0.17[/C][C]89.2100134492924[/C][C]6.99550790799442e-05[/C][/ROW]
[ROW][C]0.18[/C][C]89.2100367489712[/C][C]0.000174599268261099[/C][/ROW]
[ROW][C]0.19[/C][C]89.210094663364[/C][C]0.000349198536522199[/C][/ROW]
[ROW][C]0.2[/C][C]89.2102306345548[/C][C]0.0009086450790404[/C][/ROW]
[ROW][C]0.21[/C][C]89.2105329938768[/C][C]0.00199417955535102[/C][/ROW]
[ROW][C]0.22[/C][C]89.211171323471[/C][C]0.00416803177312596[/C][/ROW]
[ROW][C]0.23[/C][C]89.212453333739[/C][C]0.00824506984692683[/C][/ROW]
[ROW][C]0.24[/C][C]89.2149069543439[/C][C]0.0155015827477129[/C][/ROW]
[ROW][C]0.25[/C][C]89.2193883858081[/C][C]0.0278985234163913[/C][/ROW]
[ROW][C]0.26[/C][C]89.2272089657476[/C][C]0.0479426670278732[/C][/ROW]
[ROW][C]0.27[/C][C]89.2402618117717[/C][C]0.0787248265443352[/C][/ROW]
[ROW][C]0.28[/C][C]89.2611151350532[/C][C]0.123930023642754[/C][/ROW]
[ROW][C]0.29[/C][C]89.2930271466613[/C][C]0.186665338684234[/C][/ROW]
[ROW][C]0.3[/C][C]89.3398339390215[/C][C]0.269428414521284[/C][/ROW]
[ROW][C]0.31[/C][C]89.405673208268[/C][C]0.372815030902526[/C][/ROW]
[ROW][C]0.32[/C][C]89.4945369333778[/C][C]0.494770866611935[/C][/ROW]
[ROW][C]0.33[/C][C]89.6096926777522[/C][C]0.63028573430069[/C][/ROW]
[ROW][C]0.34[/C][C]89.7530654933688[/C][C]0.771163375796785[/C][/ROW]
[ROW][C]0.35[/C][C]89.9247132679996[/C][C]0.906899682062846[/C][/ROW]
[ROW][C]0.36[/C][C]90.1225390813938[/C][C]1.02643598942131[/C][/ROW]
[ROW][C]0.37[/C][C]90.3423522923977[/C][C]1.11982721410394[/C][/ROW]
[ROW][C]0.38[/C][C]90.5783165240945[/C][C]1.18029466196007[/C][/ROW]
[ROW][C]0.39[/C][C]90.8237243380469[/C][C]1.20559323550905[/C][/ROW]
[ROW][C]0.4[/C][C]91.0719443194568[/C][C]1.19859867786234[/C][/ROW]
[ROW][C]0.41[/C][C]91.3173282298681[/C][C]1.16669927834802[/C][/ROW]
[ROW][C]0.42[/C][C]91.5558661491234[/C][C]1.12025727394879[/C][/ROW]
[ROW][C]0.43[/C][C]91.7854398829687[/C][C]1.07005845678158[/C][/ROW]
[ROW][C]0.44[/C][C]92.0056321669189[/C][C]1.02486659167460[/C][/ROW]
[ROW][C]0.45[/C][C]92.217168818672[/C][C]0.98919990725327[/C][/ROW]
[ROW][C]0.46[/C][C]92.4211664771707[/C][C]0.962455557048683[/C][/ROW]
[ROW][C]0.47[/C][C]92.618402040469[/C][C]0.939687484735621[/C][/ROW]
[ROW][C]0.48[/C][C]92.808801152746[/C][C]0.913829138165763[/C][/ROW]
[ROW][C]0.49[/C][C]92.9912718544614[/C][C]0.878301112940137[/C][/ROW]
[ROW][C]0.5[/C][C]93.1639108094886[/C][C]0.829116827316804[/C][/ROW]
[ROW][C]0.51[/C][C]93.3245140446103[/C][C]0.765726621165355[/C][/ROW]
[ROW][C]0.52[/C][C]93.4712576156965[/C][C]0.691615799992541[/C][/ROW]
[ROW][C]0.53[/C][C]93.6033890303428[/C][C]0.613684637824829[/C][/ROW]
[ROW][C]0.54[/C][C]93.7217854207319[/C][C]0.541407140292471[/C][/ROW]
[ROW][C]0.55[/C][C]93.8292754412198[/C][C]0.486103132708883[/C][/ROW]
[ROW][C]0.56[/C][C]93.9306704554614[/C][C]0.460237748143271[/C][/ROW]
[ROW][C]0.57[/C][C]94.0324925014257[/C][C]0.474442814217588[/C][/ROW]
[ROW][C]0.58[/C][C]94.1424168428754[/C][C]0.533588420289278[/C][/ROW]
[ROW][C]0.59[/C][C]94.2684703209578[/C][C]0.634898909556146[/C][/ROW]
[ROW][C]0.6[/C][C]94.4180526057177[/C][C]0.769911050711915[/C][/ROW]
[ROW][C]0.61[/C][C]94.596882164493[/C][C]0.92603956972137[/C][/ROW]
[ROW][C]0.62[/C][C]94.8080089750686[/C][C]1.08775932109417[/C][/ROW]
[ROW][C]0.63[/C][C]95.0510670083732[/C][C]1.23728501202357[/C][/ROW]
[ROW][C]0.64[/C][C]95.3219402926627[/C][C]1.35672491317057[/C][/ROW]
[ROW][C]0.65[/C][C]95.6129700078859[/C][C]1.43070285924428[/C][/ROW]
[ROW][C]0.66[/C][C]95.913734626519[/C][C]1.44884132750688[/C][/ROW]
[ROW][C]0.67[/C][C]96.2123094482425[/C][C]1.40762203393988[/C][/ROW]
[ROW][C]0.68[/C][C]96.496791944499[/C][C]1.31134635172807[/C][/ROW]
[ROW][C]0.69[/C][C]96.7568055345293[/C][C]1.17078132763395[/C][/ROW]
[ROW][C]0.7[/C][C]96.9846948870543[/C][C]1.00140664503959[/C][/ROW]
[ROW][C]0.71[/C][C]97.1762036242154[/C][C]0.820497603697906[/C][/ROW]
[ROW][C]0.72[/C][C]97.3305559832737[/C][C]0.644056098807818[/C][/ROW]
[ROW][C]0.73[/C][C]97.450005414671[/C][C]0.48476566400595[/C][/ROW]
[ROW][C]0.74[/C][C]97.5390227993753[/C][C]0.350650714457717[/C][/ROW]
[ROW][C]0.75[/C][C]97.603349178399[/C][C]0.245341991900709[/C][/ROW]
[ROW][C]0.76[/C][C]97.6491324124329[/C][C]0.168493058297327[/C][/ROW]
[ROW][C]0.77[/C][C]97.6823266262837[/C][C]0.117580159391985[/C][/ROW]
[ROW][C]0.78[/C][C]97.7084898844015[/C][C]0.0899273924588095[/C][/ROW]
[ROW][C]0.79[/C][C]97.7330921096735[/C][C]0.084664838984195[/C][/ROW]
[ROW][C]0.8[/C][C]97.7624353378554[/C][C]0.104772096743032[/C][/ROW]
[ROW][C]0.81[/C][C]97.805241930422[/C][C]0.159024793507850[/C][/ROW]
[ROW][C]0.82[/C][C]97.874792624151[/C][C]0.264329531785162[/C][/ROW]
[ROW][C]0.83[/C][C]97.991104420741[/C][C]0.444524151751625[/C][/ROW]
[ROW][C]0.84[/C][C]98.1820342279939[/C][C]0.724604302520193[/C][/ROW]
[ROW][C]0.85[/C][C]98.481616181405[/C][C]1.11887773100465[/C][/ROW]
[ROW][C]0.86[/C][C]98.9239323269595[/C][C]1.61457833953223[/C][/ROW]
[ROW][C]0.87[/C][C]99.5320521089051[/C][C]2.15670010414166[/C][/ROW]
[ROW][C]0.88[/C][C]100.304307831238[/C][C]2.64537887769094[/C][/ROW]
[ROW][C]0.89[/C][C]101.203497186993[/C][C]2.95615549144428[/C][/ROW]
[ROW][C]0.9[/C][C]102.156242644891[/C][C]2.98386461327044[/C][/ROW]
[ROW][C]0.91[/C][C]103.067160545535[/C][C]2.69346770543286[/C][/ROW]
[ROW][C]0.92[/C][C]103.845298626977[/C][C]2.14804966683022[/C][/ROW]
[ROW][C]0.93[/C][C]104.432053523311[/C][C]1.49049037568104[/C][/ROW]
[ROW][C]0.94[/C][C]104.816688097529[/C][C]0.881976377004823[/C][/ROW]
[ROW][C]0.95[/C][C]105.031547813771[/C][C]0.43307327833806[/C][/ROW]
[ROW][C]0.96[/C][C]105.131068349617[/C][C]0.169593712593511[/C][/ROW]
[ROW][C]0.97[/C][C]105.167805390118[/C][C]0.0497023801332612[/C][/ROW]
[ROW][C]0.98[/C][C]105.177955232578[/C][C]0.00972240342643318[/C][/ROW]
[ROW][C]0.99[/C][C]105.179826321089[/C][C]0.000954067625958397[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9435&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9435&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
0.0188.22651117327390.978968143463135
0.0288.78242692734260.429114898045858
0.0389.07406557977840.137680371602376
0.0489.176348615720.0344125429789225
0.0589.20322409276630.00699877738952637
0.0689.20885526560410.00119288762410482
0.0789.20983397866570.000173648198445638
0.0889.20997896549042.26497650146484e-05
0.0989.20999764000347.54992167154948e-06
0.189.20999976438970
0.1189.20999998580110
0.1289.2100000296810
0.1389.21000012320270
0.1489.21000044496670
0.1589.21000148653260
0.1689.2100046232293.61915773204034e-05
0.1789.21001344929246.99550790799442e-05
0.1889.21003674897120.000174599268261099
0.1989.2100946633640.000349198536522199
0.289.21023063455480.0009086450790404
0.2189.21053299387680.00199417955535102
0.2289.2111713234710.00416803177312596
0.2389.2124533337390.00824506984692683
0.2489.21490695434390.0155015827477129
0.2589.21938838580810.0278985234163913
0.2689.22720896574760.0479426670278732
0.2789.24026181177170.0787248265443352
0.2889.26111513505320.123930023642754
0.2989.29302714666130.186665338684234
0.389.33983393902150.269428414521284
0.3189.4056732082680.372815030902526
0.3289.49453693337780.494770866611935
0.3389.60969267775220.63028573430069
0.3489.75306549336880.771163375796785
0.3589.92471326799960.906899682062846
0.3690.12253908139381.02643598942131
0.3790.34235229239771.11982721410394
0.3890.57831652409451.18029466196007
0.3990.82372433804691.20559323550905
0.491.07194431945681.19859867786234
0.4191.31732822986811.16669927834802
0.4291.55586614912341.12025727394879
0.4391.78543988296871.07005845678158
0.4492.00563216691891.02486659167460
0.4592.2171688186720.98919990725327
0.4692.42116647717070.962455557048683
0.4792.6184020404690.939687484735621
0.4892.8088011527460.913829138165763
0.4992.99127185446140.878301112940137
0.593.16391080948860.829116827316804
0.5193.32451404461030.765726621165355
0.5293.47125761569650.691615799992541
0.5393.60338903034280.613684637824829
0.5493.72178542073190.541407140292471
0.5593.82927544121980.486103132708883
0.5693.93067045546140.460237748143271
0.5794.03249250142570.474442814217588
0.5894.14241684287540.533588420289278
0.5994.26847032095780.634898909556146
0.694.41805260571770.769911050711915
0.6194.5968821644930.92603956972137
0.6294.80800897506861.08775932109417
0.6395.05106700837321.23728501202357
0.6495.32194029266271.35672491317057
0.6595.61297000788591.43070285924428
0.6695.9137346265191.44884132750688
0.6796.21230944824251.40762203393988
0.6896.4967919444991.31134635172807
0.6996.75680553452931.17078132763395
0.796.98469488705431.00140664503959
0.7197.17620362421540.820497603697906
0.7297.33055598327370.644056098807818
0.7397.4500054146710.48476566400595
0.7497.53902279937530.350650714457717
0.7597.6033491783990.245341991900709
0.7697.64913241243290.168493058297327
0.7797.68232662628370.117580159391985
0.7897.70848988440150.0899273924588095
0.7997.73309210967350.084664838984195
0.897.76243533785540.104772096743032
0.8197.8052419304220.159024793507850
0.8297.8747926241510.264329531785162
0.8397.9911044207410.444524151751625
0.8498.18203422799390.724604302520193
0.8598.4816161814051.11887773100465
0.8698.92393232695951.61457833953223
0.8799.53205210890512.15670010414166
0.88100.3043078312382.64537887769094
0.89101.2034971869932.95615549144428
0.9102.1562426448912.98386461327044
0.91103.0671605455352.69346770543286
0.92103.8452986269772.14804966683022
0.93104.4320535233111.49049037568104
0.94104.8166880975290.881976377004823
0.95105.0315478137710.43307327833806
0.96105.1310683496170.169593712593511
0.97105.1678053901180.0497023801332612
0.98105.1779552325780.00972240342643318
0.99105.1798263210890.000954067625958397



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')