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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 05 Oct 2013 12:11:46 -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/2013/Oct/05/t1380989587kayeqr6d4vdz4oq.htm/, Retrieved Thu, 02 May 2024 19:12:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213333, Retrieved Thu, 02 May 2024 19:12:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2013-10-05 16:11:46] [fc2852ac78b5a0ff21b931104fefbcf7] [Current]
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Dataseries X:
10.92
10.98
11.15
11.19
11.33
11.38
11.4
11.45
11.56
11.61
11.82
11.77
11.85
11.82
11.92
11.86
11.87
11.94
11.86
11.92
11.83
11.91
11.93
11.99
11.96
12.12
11.85
12.01
12.1
12.21
12.31
12.31
12.39
12.35
12.41
12.51
12.27
12.51
12.44
12.47
12.51
12.58
12.5
12.52
12.59
12.51
12.67
12.64
12.54
12.6
12.67
12.62
12.72
12.85
12.85
12.82
12.79
12.94
12.71
12.56
12.64
12.7
12.74
12.85
12.84
12.83
12.88
13.07
12.99
13.2
13.23
13.18
13.18
13.1
13.23
13.33
13.38
13.26
13.17
13.27
13.47
13.63
13.64
13.69




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=213333&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=213333&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213333&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
0.0110.95851075348890.0898562257488955
0.0211.02735370140520.124156889419033
0.0311.10734331990310.137727632918987
0.0411.18532621866180.138553931701357
0.0511.25645592072730.136925920985902
0.0611.32083779009420.13732281049704
0.0711.38045195374110.141777794157519
0.0811.43741348355040.149844347531972
0.0911.49309997335670.158402747615088
0.111.54778136146290.163411127252619
0.1111.60067993221350.161961289604852
0.1211.65038236438840.15322475696948
0.1311.69540088005920.138352066976439
0.1411.73465327242850.119761665909546
0.1511.76772066661410.100230933781439
0.1611.79486426497910.082245914032159
0.1711.81686928791520.0674962992583184
0.1811.83481494827060.0568440609728193
0.1911.8498557121330.0503857720113746
0.211.86306438543710.0475997326653048
0.2111.87535166360360.0478098153667328
0.2211.88745099984930.0503398910411413
0.2311.89994498529590.0548132866180662
0.2411.91330766880180.0610054394340721
0.2511.92794229434810.0689093790383501
0.2611.94420203437870.0784296067982319
0.2711.9623897696490.0893554135096108
0.2811.98274012049060.101304936587821
0.2912.00539176744260.113686205340682
0.312.03036012994490.125813694374866
0.3112.05751973071070.136889389599293
0.3212.08660260349540.146262016901704
0.3312.11721485840180.153270660252697
0.3412.1488691508850.157619557698545
0.3512.1810273752670.159150511853245
0.3612.21314615515840.15797992290942
0.3712.24471787782630.154380983685913
0.3812.27530185255060.148785664991604
0.3912.30454299994390.141646923550435
0.412.3321784471890.133430004194893
0.4112.35803472188030.124549185846382
0.4212.38201939079140.115357742349386
0.4312.40411086207770.106155478700533
0.4412.42434893059490.0971847174189917
0.4512.44282702906050.0887132986592886
0.4612.45968565440350.0809565950098733
0.4712.47510554472330.07411691531206
0.4812.48929910402220.0684227651608207
0.4912.50249922922680.0639399273828218
0.512.51494577240670.0607458806577185
0.5112.52687095074570.0587583578979233
0.5212.53848572006380.0578139772458869
0.5312.54996923465120.0576919857256226
0.5412.56146301485780.0581426682225219
0.5512.57307050707320.0589524454492856
0.5612.58486162745290.0599561709059189
0.5712.59688091731370.0610340110739952
0.5812.60915731597870.0621321367801137
0.5912.62171337273990.0632820327656985
0.612.63457196323170.0645151103733653
0.6112.64775916928870.0658529532678495
0.6212.66130282515990.0673229073032266
0.6312.67522722796030.0689348204265366
0.6412.68954555047140.0705595015738112
0.6512.70425243474680.0721121553445512
0.6612.71931987287520.0734108804176588
0.6712.73469952459710.0743436825301548
0.6812.7503338145490.0748202556563208
0.6912.76617635448490.0748940583683402
0.712.78221956888860.0747661333478518
0.7112.79852433994910.0748195696416358
0.7212.8152438424470.0755866147591205
0.7312.83263250429530.077633640294248
0.7412.85103209129030.0814391357995676
0.7512.87083070720380.087150105240816
0.7612.89239670393250.0945101551774141
0.7712.91599692022210.102815930306396
0.7812.94171539277810.111006044548282
0.7912.9693924940820.117856729937462
0.812.99860348421260.122203159303998
0.8113.02868893295590.123145998888488
0.8213.05883824323920.120269629101794
0.8313.0882142947730.113740124666467
0.8413.11609610755870.104330379059304
0.8513.14201161465430.0932676447315131
0.8613.16583667757880.0820480438615385
0.8713.18784857694190.0722182769564647
0.8813.20873775090380.0651682573795753
0.8913.22959349309360.0620204664254825
0.913.25188045809030.0635365766843525
0.9113.27740616557650.070013322144744
0.9213.30823626122770.081273405739961
0.9313.34643899250230.0964410731185753
0.9413.39347141617270.113201427636119
0.9513.44911294058040.12652261012542
0.9613.51034940883760.12838435520196
0.9713.5713719579950.111654533897697
0.9813.62552551911880.0794660174395812
0.9913.66711556515770.0529180465973177

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 10.9585107534889 & 0.0898562257488955 \tabularnewline
0.02 & 11.0273537014052 & 0.124156889419033 \tabularnewline
0.03 & 11.1073433199031 & 0.137727632918987 \tabularnewline
0.04 & 11.1853262186618 & 0.138553931701357 \tabularnewline
0.05 & 11.2564559207273 & 0.136925920985902 \tabularnewline
0.06 & 11.3208377900942 & 0.13732281049704 \tabularnewline
0.07 & 11.3804519537411 & 0.141777794157519 \tabularnewline
0.08 & 11.4374134835504 & 0.149844347531972 \tabularnewline
0.09 & 11.4930999733567 & 0.158402747615088 \tabularnewline
0.1 & 11.5477813614629 & 0.163411127252619 \tabularnewline
0.11 & 11.6006799322135 & 0.161961289604852 \tabularnewline
0.12 & 11.6503823643884 & 0.15322475696948 \tabularnewline
0.13 & 11.6954008800592 & 0.138352066976439 \tabularnewline
0.14 & 11.7346532724285 & 0.119761665909546 \tabularnewline
0.15 & 11.7677206666141 & 0.100230933781439 \tabularnewline
0.16 & 11.7948642649791 & 0.082245914032159 \tabularnewline
0.17 & 11.8168692879152 & 0.0674962992583184 \tabularnewline
0.18 & 11.8348149482706 & 0.0568440609728193 \tabularnewline
0.19 & 11.849855712133 & 0.0503857720113746 \tabularnewline
0.2 & 11.8630643854371 & 0.0475997326653048 \tabularnewline
0.21 & 11.8753516636036 & 0.0478098153667328 \tabularnewline
0.22 & 11.8874509998493 & 0.0503398910411413 \tabularnewline
0.23 & 11.8999449852959 & 0.0548132866180662 \tabularnewline
0.24 & 11.9133076688018 & 0.0610054394340721 \tabularnewline
0.25 & 11.9279422943481 & 0.0689093790383501 \tabularnewline
0.26 & 11.9442020343787 & 0.0784296067982319 \tabularnewline
0.27 & 11.962389769649 & 0.0893554135096108 \tabularnewline
0.28 & 11.9827401204906 & 0.101304936587821 \tabularnewline
0.29 & 12.0053917674426 & 0.113686205340682 \tabularnewline
0.3 & 12.0303601299449 & 0.125813694374866 \tabularnewline
0.31 & 12.0575197307107 & 0.136889389599293 \tabularnewline
0.32 & 12.0866026034954 & 0.146262016901704 \tabularnewline
0.33 & 12.1172148584018 & 0.153270660252697 \tabularnewline
0.34 & 12.148869150885 & 0.157619557698545 \tabularnewline
0.35 & 12.181027375267 & 0.159150511853245 \tabularnewline
0.36 & 12.2131461551584 & 0.15797992290942 \tabularnewline
0.37 & 12.2447178778263 & 0.154380983685913 \tabularnewline
0.38 & 12.2753018525506 & 0.148785664991604 \tabularnewline
0.39 & 12.3045429999439 & 0.141646923550435 \tabularnewline
0.4 & 12.332178447189 & 0.133430004194893 \tabularnewline
0.41 & 12.3580347218803 & 0.124549185846382 \tabularnewline
0.42 & 12.3820193907914 & 0.115357742349386 \tabularnewline
0.43 & 12.4041108620777 & 0.106155478700533 \tabularnewline
0.44 & 12.4243489305949 & 0.0971847174189917 \tabularnewline
0.45 & 12.4428270290605 & 0.0887132986592886 \tabularnewline
0.46 & 12.4596856544035 & 0.0809565950098733 \tabularnewline
0.47 & 12.4751055447233 & 0.07411691531206 \tabularnewline
0.48 & 12.4892991040222 & 0.0684227651608207 \tabularnewline
0.49 & 12.5024992292268 & 0.0639399273828218 \tabularnewline
0.5 & 12.5149457724067 & 0.0607458806577185 \tabularnewline
0.51 & 12.5268709507457 & 0.0587583578979233 \tabularnewline
0.52 & 12.5384857200638 & 0.0578139772458869 \tabularnewline
0.53 & 12.5499692346512 & 0.0576919857256226 \tabularnewline
0.54 & 12.5614630148578 & 0.0581426682225219 \tabularnewline
0.55 & 12.5730705070732 & 0.0589524454492856 \tabularnewline
0.56 & 12.5848616274529 & 0.0599561709059189 \tabularnewline
0.57 & 12.5968809173137 & 0.0610340110739952 \tabularnewline
0.58 & 12.6091573159787 & 0.0621321367801137 \tabularnewline
0.59 & 12.6217133727399 & 0.0632820327656985 \tabularnewline
0.6 & 12.6345719632317 & 0.0645151103733653 \tabularnewline
0.61 & 12.6477591692887 & 0.0658529532678495 \tabularnewline
0.62 & 12.6613028251599 & 0.0673229073032266 \tabularnewline
0.63 & 12.6752272279603 & 0.0689348204265366 \tabularnewline
0.64 & 12.6895455504714 & 0.0705595015738112 \tabularnewline
0.65 & 12.7042524347468 & 0.0721121553445512 \tabularnewline
0.66 & 12.7193198728752 & 0.0734108804176588 \tabularnewline
0.67 & 12.7346995245971 & 0.0743436825301548 \tabularnewline
0.68 & 12.750333814549 & 0.0748202556563208 \tabularnewline
0.69 & 12.7661763544849 & 0.0748940583683402 \tabularnewline
0.7 & 12.7822195688886 & 0.0747661333478518 \tabularnewline
0.71 & 12.7985243399491 & 0.0748195696416358 \tabularnewline
0.72 & 12.815243842447 & 0.0755866147591205 \tabularnewline
0.73 & 12.8326325042953 & 0.077633640294248 \tabularnewline
0.74 & 12.8510320912903 & 0.0814391357995676 \tabularnewline
0.75 & 12.8708307072038 & 0.087150105240816 \tabularnewline
0.76 & 12.8923967039325 & 0.0945101551774141 \tabularnewline
0.77 & 12.9159969202221 & 0.102815930306396 \tabularnewline
0.78 & 12.9417153927781 & 0.111006044548282 \tabularnewline
0.79 & 12.969392494082 & 0.117856729937462 \tabularnewline
0.8 & 12.9986034842126 & 0.122203159303998 \tabularnewline
0.81 & 13.0286889329559 & 0.123145998888488 \tabularnewline
0.82 & 13.0588382432392 & 0.120269629101794 \tabularnewline
0.83 & 13.088214294773 & 0.113740124666467 \tabularnewline
0.84 & 13.1160961075587 & 0.104330379059304 \tabularnewline
0.85 & 13.1420116146543 & 0.0932676447315131 \tabularnewline
0.86 & 13.1658366775788 & 0.0820480438615385 \tabularnewline
0.87 & 13.1878485769419 & 0.0722182769564647 \tabularnewline
0.88 & 13.2087377509038 & 0.0651682573795753 \tabularnewline
0.89 & 13.2295934930936 & 0.0620204664254825 \tabularnewline
0.9 & 13.2518804580903 & 0.0635365766843525 \tabularnewline
0.91 & 13.2774061655765 & 0.070013322144744 \tabularnewline
0.92 & 13.3082362612277 & 0.081273405739961 \tabularnewline
0.93 & 13.3464389925023 & 0.0964410731185753 \tabularnewline
0.94 & 13.3934714161727 & 0.113201427636119 \tabularnewline
0.95 & 13.4491129405804 & 0.12652261012542 \tabularnewline
0.96 & 13.5103494088376 & 0.12838435520196 \tabularnewline
0.97 & 13.571371957995 & 0.111654533897697 \tabularnewline
0.98 & 13.6255255191188 & 0.0794660174395812 \tabularnewline
0.99 & 13.6671155651577 & 0.0529180465973177 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213333&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]10.9585107534889[/C][C]0.0898562257488955[/C][/ROW]
[ROW][C]0.02[/C][C]11.0273537014052[/C][C]0.124156889419033[/C][/ROW]
[ROW][C]0.03[/C][C]11.1073433199031[/C][C]0.137727632918987[/C][/ROW]
[ROW][C]0.04[/C][C]11.1853262186618[/C][C]0.138553931701357[/C][/ROW]
[ROW][C]0.05[/C][C]11.2564559207273[/C][C]0.136925920985902[/C][/ROW]
[ROW][C]0.06[/C][C]11.3208377900942[/C][C]0.13732281049704[/C][/ROW]
[ROW][C]0.07[/C][C]11.3804519537411[/C][C]0.141777794157519[/C][/ROW]
[ROW][C]0.08[/C][C]11.4374134835504[/C][C]0.149844347531972[/C][/ROW]
[ROW][C]0.09[/C][C]11.4930999733567[/C][C]0.158402747615088[/C][/ROW]
[ROW][C]0.1[/C][C]11.5477813614629[/C][C]0.163411127252619[/C][/ROW]
[ROW][C]0.11[/C][C]11.6006799322135[/C][C]0.161961289604852[/C][/ROW]
[ROW][C]0.12[/C][C]11.6503823643884[/C][C]0.15322475696948[/C][/ROW]
[ROW][C]0.13[/C][C]11.6954008800592[/C][C]0.138352066976439[/C][/ROW]
[ROW][C]0.14[/C][C]11.7346532724285[/C][C]0.119761665909546[/C][/ROW]
[ROW][C]0.15[/C][C]11.7677206666141[/C][C]0.100230933781439[/C][/ROW]
[ROW][C]0.16[/C][C]11.7948642649791[/C][C]0.082245914032159[/C][/ROW]
[ROW][C]0.17[/C][C]11.8168692879152[/C][C]0.0674962992583184[/C][/ROW]
[ROW][C]0.18[/C][C]11.8348149482706[/C][C]0.0568440609728193[/C][/ROW]
[ROW][C]0.19[/C][C]11.849855712133[/C][C]0.0503857720113746[/C][/ROW]
[ROW][C]0.2[/C][C]11.8630643854371[/C][C]0.0475997326653048[/C][/ROW]
[ROW][C]0.21[/C][C]11.8753516636036[/C][C]0.0478098153667328[/C][/ROW]
[ROW][C]0.22[/C][C]11.8874509998493[/C][C]0.0503398910411413[/C][/ROW]
[ROW][C]0.23[/C][C]11.8999449852959[/C][C]0.0548132866180662[/C][/ROW]
[ROW][C]0.24[/C][C]11.9133076688018[/C][C]0.0610054394340721[/C][/ROW]
[ROW][C]0.25[/C][C]11.9279422943481[/C][C]0.0689093790383501[/C][/ROW]
[ROW][C]0.26[/C][C]11.9442020343787[/C][C]0.0784296067982319[/C][/ROW]
[ROW][C]0.27[/C][C]11.962389769649[/C][C]0.0893554135096108[/C][/ROW]
[ROW][C]0.28[/C][C]11.9827401204906[/C][C]0.101304936587821[/C][/ROW]
[ROW][C]0.29[/C][C]12.0053917674426[/C][C]0.113686205340682[/C][/ROW]
[ROW][C]0.3[/C][C]12.0303601299449[/C][C]0.125813694374866[/C][/ROW]
[ROW][C]0.31[/C][C]12.0575197307107[/C][C]0.136889389599293[/C][/ROW]
[ROW][C]0.32[/C][C]12.0866026034954[/C][C]0.146262016901704[/C][/ROW]
[ROW][C]0.33[/C][C]12.1172148584018[/C][C]0.153270660252697[/C][/ROW]
[ROW][C]0.34[/C][C]12.148869150885[/C][C]0.157619557698545[/C][/ROW]
[ROW][C]0.35[/C][C]12.181027375267[/C][C]0.159150511853245[/C][/ROW]
[ROW][C]0.36[/C][C]12.2131461551584[/C][C]0.15797992290942[/C][/ROW]
[ROW][C]0.37[/C][C]12.2447178778263[/C][C]0.154380983685913[/C][/ROW]
[ROW][C]0.38[/C][C]12.2753018525506[/C][C]0.148785664991604[/C][/ROW]
[ROW][C]0.39[/C][C]12.3045429999439[/C][C]0.141646923550435[/C][/ROW]
[ROW][C]0.4[/C][C]12.332178447189[/C][C]0.133430004194893[/C][/ROW]
[ROW][C]0.41[/C][C]12.3580347218803[/C][C]0.124549185846382[/C][/ROW]
[ROW][C]0.42[/C][C]12.3820193907914[/C][C]0.115357742349386[/C][/ROW]
[ROW][C]0.43[/C][C]12.4041108620777[/C][C]0.106155478700533[/C][/ROW]
[ROW][C]0.44[/C][C]12.4243489305949[/C][C]0.0971847174189917[/C][/ROW]
[ROW][C]0.45[/C][C]12.4428270290605[/C][C]0.0887132986592886[/C][/ROW]
[ROW][C]0.46[/C][C]12.4596856544035[/C][C]0.0809565950098733[/C][/ROW]
[ROW][C]0.47[/C][C]12.4751055447233[/C][C]0.07411691531206[/C][/ROW]
[ROW][C]0.48[/C][C]12.4892991040222[/C][C]0.0684227651608207[/C][/ROW]
[ROW][C]0.49[/C][C]12.5024992292268[/C][C]0.0639399273828218[/C][/ROW]
[ROW][C]0.5[/C][C]12.5149457724067[/C][C]0.0607458806577185[/C][/ROW]
[ROW][C]0.51[/C][C]12.5268709507457[/C][C]0.0587583578979233[/C][/ROW]
[ROW][C]0.52[/C][C]12.5384857200638[/C][C]0.0578139772458869[/C][/ROW]
[ROW][C]0.53[/C][C]12.5499692346512[/C][C]0.0576919857256226[/C][/ROW]
[ROW][C]0.54[/C][C]12.5614630148578[/C][C]0.0581426682225219[/C][/ROW]
[ROW][C]0.55[/C][C]12.5730705070732[/C][C]0.0589524454492856[/C][/ROW]
[ROW][C]0.56[/C][C]12.5848616274529[/C][C]0.0599561709059189[/C][/ROW]
[ROW][C]0.57[/C][C]12.5968809173137[/C][C]0.0610340110739952[/C][/ROW]
[ROW][C]0.58[/C][C]12.6091573159787[/C][C]0.0621321367801137[/C][/ROW]
[ROW][C]0.59[/C][C]12.6217133727399[/C][C]0.0632820327656985[/C][/ROW]
[ROW][C]0.6[/C][C]12.6345719632317[/C][C]0.0645151103733653[/C][/ROW]
[ROW][C]0.61[/C][C]12.6477591692887[/C][C]0.0658529532678495[/C][/ROW]
[ROW][C]0.62[/C][C]12.6613028251599[/C][C]0.0673229073032266[/C][/ROW]
[ROW][C]0.63[/C][C]12.6752272279603[/C][C]0.0689348204265366[/C][/ROW]
[ROW][C]0.64[/C][C]12.6895455504714[/C][C]0.0705595015738112[/C][/ROW]
[ROW][C]0.65[/C][C]12.7042524347468[/C][C]0.0721121553445512[/C][/ROW]
[ROW][C]0.66[/C][C]12.7193198728752[/C][C]0.0734108804176588[/C][/ROW]
[ROW][C]0.67[/C][C]12.7346995245971[/C][C]0.0743436825301548[/C][/ROW]
[ROW][C]0.68[/C][C]12.750333814549[/C][C]0.0748202556563208[/C][/ROW]
[ROW][C]0.69[/C][C]12.7661763544849[/C][C]0.0748940583683402[/C][/ROW]
[ROW][C]0.7[/C][C]12.7822195688886[/C][C]0.0747661333478518[/C][/ROW]
[ROW][C]0.71[/C][C]12.7985243399491[/C][C]0.0748195696416358[/C][/ROW]
[ROW][C]0.72[/C][C]12.815243842447[/C][C]0.0755866147591205[/C][/ROW]
[ROW][C]0.73[/C][C]12.8326325042953[/C][C]0.077633640294248[/C][/ROW]
[ROW][C]0.74[/C][C]12.8510320912903[/C][C]0.0814391357995676[/C][/ROW]
[ROW][C]0.75[/C][C]12.8708307072038[/C][C]0.087150105240816[/C][/ROW]
[ROW][C]0.76[/C][C]12.8923967039325[/C][C]0.0945101551774141[/C][/ROW]
[ROW][C]0.77[/C][C]12.9159969202221[/C][C]0.102815930306396[/C][/ROW]
[ROW][C]0.78[/C][C]12.9417153927781[/C][C]0.111006044548282[/C][/ROW]
[ROW][C]0.79[/C][C]12.969392494082[/C][C]0.117856729937462[/C][/ROW]
[ROW][C]0.8[/C][C]12.9986034842126[/C][C]0.122203159303998[/C][/ROW]
[ROW][C]0.81[/C][C]13.0286889329559[/C][C]0.123145998888488[/C][/ROW]
[ROW][C]0.82[/C][C]13.0588382432392[/C][C]0.120269629101794[/C][/ROW]
[ROW][C]0.83[/C][C]13.088214294773[/C][C]0.113740124666467[/C][/ROW]
[ROW][C]0.84[/C][C]13.1160961075587[/C][C]0.104330379059304[/C][/ROW]
[ROW][C]0.85[/C][C]13.1420116146543[/C][C]0.0932676447315131[/C][/ROW]
[ROW][C]0.86[/C][C]13.1658366775788[/C][C]0.0820480438615385[/C][/ROW]
[ROW][C]0.87[/C][C]13.1878485769419[/C][C]0.0722182769564647[/C][/ROW]
[ROW][C]0.88[/C][C]13.2087377509038[/C][C]0.0651682573795753[/C][/ROW]
[ROW][C]0.89[/C][C]13.2295934930936[/C][C]0.0620204664254825[/C][/ROW]
[ROW][C]0.9[/C][C]13.2518804580903[/C][C]0.0635365766843525[/C][/ROW]
[ROW][C]0.91[/C][C]13.2774061655765[/C][C]0.070013322144744[/C][/ROW]
[ROW][C]0.92[/C][C]13.3082362612277[/C][C]0.081273405739961[/C][/ROW]
[ROW][C]0.93[/C][C]13.3464389925023[/C][C]0.0964410731185753[/C][/ROW]
[ROW][C]0.94[/C][C]13.3934714161727[/C][C]0.113201427636119[/C][/ROW]
[ROW][C]0.95[/C][C]13.4491129405804[/C][C]0.12652261012542[/C][/ROW]
[ROW][C]0.96[/C][C]13.5103494088376[/C][C]0.12838435520196[/C][/ROW]
[ROW][C]0.97[/C][C]13.571371957995[/C][C]0.111654533897697[/C][/ROW]
[ROW][C]0.98[/C][C]13.6255255191188[/C][C]0.0794660174395812[/C][/ROW]
[ROW][C]0.99[/C][C]13.6671155651577[/C][C]0.0529180465973177[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213333&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213333&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
0.0110.95851075348890.0898562257488955
0.0211.02735370140520.124156889419033
0.0311.10734331990310.137727632918987
0.0411.18532621866180.138553931701357
0.0511.25645592072730.136925920985902
0.0611.32083779009420.13732281049704
0.0711.38045195374110.141777794157519
0.0811.43741348355040.149844347531972
0.0911.49309997335670.158402747615088
0.111.54778136146290.163411127252619
0.1111.60067993221350.161961289604852
0.1211.65038236438840.15322475696948
0.1311.69540088005920.138352066976439
0.1411.73465327242850.119761665909546
0.1511.76772066661410.100230933781439
0.1611.79486426497910.082245914032159
0.1711.81686928791520.0674962992583184
0.1811.83481494827060.0568440609728193
0.1911.8498557121330.0503857720113746
0.211.86306438543710.0475997326653048
0.2111.87535166360360.0478098153667328
0.2211.88745099984930.0503398910411413
0.2311.89994498529590.0548132866180662
0.2411.91330766880180.0610054394340721
0.2511.92794229434810.0689093790383501
0.2611.94420203437870.0784296067982319
0.2711.9623897696490.0893554135096108
0.2811.98274012049060.101304936587821
0.2912.00539176744260.113686205340682
0.312.03036012994490.125813694374866
0.3112.05751973071070.136889389599293
0.3212.08660260349540.146262016901704
0.3312.11721485840180.153270660252697
0.3412.1488691508850.157619557698545
0.3512.1810273752670.159150511853245
0.3612.21314615515840.15797992290942
0.3712.24471787782630.154380983685913
0.3812.27530185255060.148785664991604
0.3912.30454299994390.141646923550435
0.412.3321784471890.133430004194893
0.4112.35803472188030.124549185846382
0.4212.38201939079140.115357742349386
0.4312.40411086207770.106155478700533
0.4412.42434893059490.0971847174189917
0.4512.44282702906050.0887132986592886
0.4612.45968565440350.0809565950098733
0.4712.47510554472330.07411691531206
0.4812.48929910402220.0684227651608207
0.4912.50249922922680.0639399273828218
0.512.51494577240670.0607458806577185
0.5112.52687095074570.0587583578979233
0.5212.53848572006380.0578139772458869
0.5312.54996923465120.0576919857256226
0.5412.56146301485780.0581426682225219
0.5512.57307050707320.0589524454492856
0.5612.58486162745290.0599561709059189
0.5712.59688091731370.0610340110739952
0.5812.60915731597870.0621321367801137
0.5912.62171337273990.0632820327656985
0.612.63457196323170.0645151103733653
0.6112.64775916928870.0658529532678495
0.6212.66130282515990.0673229073032266
0.6312.67522722796030.0689348204265366
0.6412.68954555047140.0705595015738112
0.6512.70425243474680.0721121553445512
0.6612.71931987287520.0734108804176588
0.6712.73469952459710.0743436825301548
0.6812.7503338145490.0748202556563208
0.6912.76617635448490.0748940583683402
0.712.78221956888860.0747661333478518
0.7112.79852433994910.0748195696416358
0.7212.8152438424470.0755866147591205
0.7312.83263250429530.077633640294248
0.7412.85103209129030.0814391357995676
0.7512.87083070720380.087150105240816
0.7612.89239670393250.0945101551774141
0.7712.91599692022210.102815930306396
0.7812.94171539277810.111006044548282
0.7912.9693924940820.117856729937462
0.812.99860348421260.122203159303998
0.8113.02868893295590.123145998888488
0.8213.05883824323920.120269629101794
0.8313.0882142947730.113740124666467
0.8413.11609610755870.104330379059304
0.8513.14201161465430.0932676447315131
0.8613.16583667757880.0820480438615385
0.8713.18784857694190.0722182769564647
0.8813.20873775090380.0651682573795753
0.8913.22959349309360.0620204664254825
0.913.25188045809030.0635365766843525
0.9113.27740616557650.070013322144744
0.9213.30823626122770.081273405739961
0.9313.34643899250230.0964410731185753
0.9413.39347141617270.113201427636119
0.9513.44911294058040.12652261012542
0.9613.51034940883760.12838435520196
0.9713.5713719579950.111654533897697
0.9813.62552551911880.0794660174395812
0.9913.66711556515770.0529180465973177



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 <- '0.1'
par2 <- '0.99'
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')