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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 03 Mar 2009 09:28:11 -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/2009/Mar/03/t1236097715rimw96udj5wr319.htm/, Retrieved Thu, 06 Oct 2022 23:45:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38475, Retrieved Thu, 06 Oct 2022 23:45:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact161
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [percentielen - ni...] [2009-03-03 16:28:11] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
8166
7102
6047
5854
5764
5209
5616
5597
6251
7024
7237
9230
9016
8201
7630
7107
6820
6082
6019
6576
8086
8323
7842
9077
10737
10176
10416
9807
9565
10439
9115
9535
10790
11340
11196
12132
12013
12692
13330
11926
11356
11221
9999
11772
12543
14176
2924
2322
15557
13381
13145
12448
12178
11836
9815
12382
12662
12767
13136
13533
17808
15892
16830
14444
15550
15092
16364
14314
15874
17846
18504
15130
19845
18137
18898
19573
17368
18938
16713
16379
19139
21461
19796
16668




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38475&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38475&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38475&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Harrell-Davis Quantiles
quantilesvaluestandard error
0.012748.464904574661005.80919146589
0.023487.366330368861312.32544717414
0.034262.817121022171185.96690739585
0.044884.95521728843844.611305356532
0.055308.41385212735538.710348934397
0.065575.37379902636358.942107710406
0.075748.44485563487288.464972481931
0.085876.35468484646281.018494888028
0.095988.0807206406304.154722738768
0.16098.38663903544342.408221268524
0.116213.97419265355386.892130840864
0.126337.22802489273430.641968031151
0.136468.10461892441468.516352334491
0.146605.22732256625498.184685725504
0.156746.73596843036520.376774289586
0.166890.96441725752537.968029926499
0.177036.8457318789554.37606638767
0.187183.99275022074572.088991084845
0.197332.51896432307591.888737897025
0.27482.74112872054613.047290223984
0.217634.904403325634.081011542597
0.227789.0138399468653.51622281046
0.237944.78610478839670.202363971948
0.248101.68770594144683.427102817301
0.258259.01286865948692.722648339745
0.268415.96695106997697.793566265473
0.278571.742238952698.576911111334
0.288725.58743174646695.279229598699
0.298876.87474803028688.559197493688
0.39025.16261615737679.493168210627
0.319170.24452183647669.502175680301
0.329312.17166250374660.054946452022
0.339451.2405183365652.502459185129
0.349587.94438299397647.733605557558
0.359722.89658152908646.21103296343
0.369856.73922526447647.734553985588
0.379990.05331354681651.697476672112
0.3810123.2840171406657.118448951096
0.3910256.6904443792662.883856050247
0.410390.3237655689667.835540729155
0.4110524.0326039865670.969615952199
0.4210657.4909022420671.484253871933
0.4310790.2413565930668.87643572379
0.4410921.7469458963662.915116218639
0.4511051.4438060893653.627151545409
0.4611178.7903039511641.290661192994
0.4711303.3091485620626.375300222155
0.4811424.6212545072609.465238366172
0.4911542.4714654174591.242647535597
0.511656.7469984909572.49203368465
0.5111767.4896513298554.029388804687
0.5211874.9026584851536.707038167498
0.5311979.3528706421521.389446170536
0.5412081.3688364106508.902183119125
0.5512181.6354132241500.071918601627
0.5612280.9855854786495.60826168864
0.5712380.3900164124496.17736840586
0.5812480.9443267097502.329399092909
0.5912583.8531181177514.526498261226
0.612690.4084625482533.100286147176
0.6112801.9592764665558.181632612418
0.6212919.8672058532589.640307108035
0.6313045.4449810489627.057362906025
0.6413179.8752327061669.509778622726
0.6513324.1117496577715.55731608598
0.6613478.7707773725763.225966970968
0.6713644.0261129572809.97736707187
0.6813819.5266873736852.99337712867
0.6914004.3570229556889.379770547654
0.714197.0578395179916.525186698976
0.7114395.7157691584932.496773810633
0.7214598.1189261511936.289813943355
0.7314801.9618942289928.055279875578
0.7415005.0733492931909.062002008125
0.7515205.6353648159881.630434424985
0.7615402.3667567354848.731186039141
0.7715594.6518544764813.674593647562
0.7815782.6062803816779.817190751926
0.7915967.0773812144750.23686269537
0.816149.5762003319727.51856249131
0.8116332.1331693653713.516750507018
0.8216517.0693478625709.01134690933
0.8316706.6879767533713.190349292338
0.8416902.9187736236723.471293970502
0.8517106.9781530116735.7283675817
0.8617319.1220779344745.2286628875
0.8717538.5517053463747.61796294331
0.8817763.4969313433739.891473751475
0.8917991.4809263991720.451674759974
0.918219.7726970376689.233743833439
0.9118446.0137589621647.913271890438
0.9218668.8748156649600.540828200793
0.9318888.4365570833552.983316817902
0.9419106.3585895500509.295976925465
0.9519327.8520740377467.988519057033
0.9619570.7188298470432.182072893085
0.9719883.4226123483456.972240101081
0.9820343.6172081493686.833347450337
0.9920956.2842110711158.37585941789

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2748.46490457466 & 1005.80919146589 \tabularnewline
0.02 & 3487.36633036886 & 1312.32544717414 \tabularnewline
0.03 & 4262.81712102217 & 1185.96690739585 \tabularnewline
0.04 & 4884.95521728843 & 844.611305356532 \tabularnewline
0.05 & 5308.41385212735 & 538.710348934397 \tabularnewline
0.06 & 5575.37379902636 & 358.942107710406 \tabularnewline
0.07 & 5748.44485563487 & 288.464972481931 \tabularnewline
0.08 & 5876.35468484646 & 281.018494888028 \tabularnewline
0.09 & 5988.0807206406 & 304.154722738768 \tabularnewline
0.1 & 6098.38663903544 & 342.408221268524 \tabularnewline
0.11 & 6213.97419265355 & 386.892130840864 \tabularnewline
0.12 & 6337.22802489273 & 430.641968031151 \tabularnewline
0.13 & 6468.10461892441 & 468.516352334491 \tabularnewline
0.14 & 6605.22732256625 & 498.184685725504 \tabularnewline
0.15 & 6746.73596843036 & 520.376774289586 \tabularnewline
0.16 & 6890.96441725752 & 537.968029926499 \tabularnewline
0.17 & 7036.8457318789 & 554.37606638767 \tabularnewline
0.18 & 7183.99275022074 & 572.088991084845 \tabularnewline
0.19 & 7332.51896432307 & 591.888737897025 \tabularnewline
0.2 & 7482.74112872054 & 613.047290223984 \tabularnewline
0.21 & 7634.904403325 & 634.081011542597 \tabularnewline
0.22 & 7789.0138399468 & 653.51622281046 \tabularnewline
0.23 & 7944.78610478839 & 670.202363971948 \tabularnewline
0.24 & 8101.68770594144 & 683.427102817301 \tabularnewline
0.25 & 8259.01286865948 & 692.722648339745 \tabularnewline
0.26 & 8415.96695106997 & 697.793566265473 \tabularnewline
0.27 & 8571.742238952 & 698.576911111334 \tabularnewline
0.28 & 8725.58743174646 & 695.279229598699 \tabularnewline
0.29 & 8876.87474803028 & 688.559197493688 \tabularnewline
0.3 & 9025.16261615737 & 679.493168210627 \tabularnewline
0.31 & 9170.24452183647 & 669.502175680301 \tabularnewline
0.32 & 9312.17166250374 & 660.054946452022 \tabularnewline
0.33 & 9451.2405183365 & 652.502459185129 \tabularnewline
0.34 & 9587.94438299397 & 647.733605557558 \tabularnewline
0.35 & 9722.89658152908 & 646.21103296343 \tabularnewline
0.36 & 9856.73922526447 & 647.734553985588 \tabularnewline
0.37 & 9990.05331354681 & 651.697476672112 \tabularnewline
0.38 & 10123.2840171406 & 657.118448951096 \tabularnewline
0.39 & 10256.6904443792 & 662.883856050247 \tabularnewline
0.4 & 10390.3237655689 & 667.835540729155 \tabularnewline
0.41 & 10524.0326039865 & 670.969615952199 \tabularnewline
0.42 & 10657.4909022420 & 671.484253871933 \tabularnewline
0.43 & 10790.2413565930 & 668.87643572379 \tabularnewline
0.44 & 10921.7469458963 & 662.915116218639 \tabularnewline
0.45 & 11051.4438060893 & 653.627151545409 \tabularnewline
0.46 & 11178.7903039511 & 641.290661192994 \tabularnewline
0.47 & 11303.3091485620 & 626.375300222155 \tabularnewline
0.48 & 11424.6212545072 & 609.465238366172 \tabularnewline
0.49 & 11542.4714654174 & 591.242647535597 \tabularnewline
0.5 & 11656.7469984909 & 572.49203368465 \tabularnewline
0.51 & 11767.4896513298 & 554.029388804687 \tabularnewline
0.52 & 11874.9026584851 & 536.707038167498 \tabularnewline
0.53 & 11979.3528706421 & 521.389446170536 \tabularnewline
0.54 & 12081.3688364106 & 508.902183119125 \tabularnewline
0.55 & 12181.6354132241 & 500.071918601627 \tabularnewline
0.56 & 12280.9855854786 & 495.60826168864 \tabularnewline
0.57 & 12380.3900164124 & 496.17736840586 \tabularnewline
0.58 & 12480.9443267097 & 502.329399092909 \tabularnewline
0.59 & 12583.8531181177 & 514.526498261226 \tabularnewline
0.6 & 12690.4084625482 & 533.100286147176 \tabularnewline
0.61 & 12801.9592764665 & 558.181632612418 \tabularnewline
0.62 & 12919.8672058532 & 589.640307108035 \tabularnewline
0.63 & 13045.4449810489 & 627.057362906025 \tabularnewline
0.64 & 13179.8752327061 & 669.509778622726 \tabularnewline
0.65 & 13324.1117496577 & 715.55731608598 \tabularnewline
0.66 & 13478.7707773725 & 763.225966970968 \tabularnewline
0.67 & 13644.0261129572 & 809.97736707187 \tabularnewline
0.68 & 13819.5266873736 & 852.99337712867 \tabularnewline
0.69 & 14004.3570229556 & 889.379770547654 \tabularnewline
0.7 & 14197.0578395179 & 916.525186698976 \tabularnewline
0.71 & 14395.7157691584 & 932.496773810633 \tabularnewline
0.72 & 14598.1189261511 & 936.289813943355 \tabularnewline
0.73 & 14801.9618942289 & 928.055279875578 \tabularnewline
0.74 & 15005.0733492931 & 909.062002008125 \tabularnewline
0.75 & 15205.6353648159 & 881.630434424985 \tabularnewline
0.76 & 15402.3667567354 & 848.731186039141 \tabularnewline
0.77 & 15594.6518544764 & 813.674593647562 \tabularnewline
0.78 & 15782.6062803816 & 779.817190751926 \tabularnewline
0.79 & 15967.0773812144 & 750.23686269537 \tabularnewline
0.8 & 16149.5762003319 & 727.51856249131 \tabularnewline
0.81 & 16332.1331693653 & 713.516750507018 \tabularnewline
0.82 & 16517.0693478625 & 709.01134690933 \tabularnewline
0.83 & 16706.6879767533 & 713.190349292338 \tabularnewline
0.84 & 16902.9187736236 & 723.471293970502 \tabularnewline
0.85 & 17106.9781530116 & 735.7283675817 \tabularnewline
0.86 & 17319.1220779344 & 745.2286628875 \tabularnewline
0.87 & 17538.5517053463 & 747.61796294331 \tabularnewline
0.88 & 17763.4969313433 & 739.891473751475 \tabularnewline
0.89 & 17991.4809263991 & 720.451674759974 \tabularnewline
0.9 & 18219.7726970376 & 689.233743833439 \tabularnewline
0.91 & 18446.0137589621 & 647.913271890438 \tabularnewline
0.92 & 18668.8748156649 & 600.540828200793 \tabularnewline
0.93 & 18888.4365570833 & 552.983316817902 \tabularnewline
0.94 & 19106.3585895500 & 509.295976925465 \tabularnewline
0.95 & 19327.8520740377 & 467.988519057033 \tabularnewline
0.96 & 19570.7188298470 & 432.182072893085 \tabularnewline
0.97 & 19883.4226123483 & 456.972240101081 \tabularnewline
0.98 & 20343.6172081493 & 686.833347450337 \tabularnewline
0.99 & 20956.284211071 & 1158.37585941789 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38475&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]2748.46490457466[/C][C]1005.80919146589[/C][/ROW]
[ROW][C]0.02[/C][C]3487.36633036886[/C][C]1312.32544717414[/C][/ROW]
[ROW][C]0.03[/C][C]4262.81712102217[/C][C]1185.96690739585[/C][/ROW]
[ROW][C]0.04[/C][C]4884.95521728843[/C][C]844.611305356532[/C][/ROW]
[ROW][C]0.05[/C][C]5308.41385212735[/C][C]538.710348934397[/C][/ROW]
[ROW][C]0.06[/C][C]5575.37379902636[/C][C]358.942107710406[/C][/ROW]
[ROW][C]0.07[/C][C]5748.44485563487[/C][C]288.464972481931[/C][/ROW]
[ROW][C]0.08[/C][C]5876.35468484646[/C][C]281.018494888028[/C][/ROW]
[ROW][C]0.09[/C][C]5988.0807206406[/C][C]304.154722738768[/C][/ROW]
[ROW][C]0.1[/C][C]6098.38663903544[/C][C]342.408221268524[/C][/ROW]
[ROW][C]0.11[/C][C]6213.97419265355[/C][C]386.892130840864[/C][/ROW]
[ROW][C]0.12[/C][C]6337.22802489273[/C][C]430.641968031151[/C][/ROW]
[ROW][C]0.13[/C][C]6468.10461892441[/C][C]468.516352334491[/C][/ROW]
[ROW][C]0.14[/C][C]6605.22732256625[/C][C]498.184685725504[/C][/ROW]
[ROW][C]0.15[/C][C]6746.73596843036[/C][C]520.376774289586[/C][/ROW]
[ROW][C]0.16[/C][C]6890.96441725752[/C][C]537.968029926499[/C][/ROW]
[ROW][C]0.17[/C][C]7036.8457318789[/C][C]554.37606638767[/C][/ROW]
[ROW][C]0.18[/C][C]7183.99275022074[/C][C]572.088991084845[/C][/ROW]
[ROW][C]0.19[/C][C]7332.51896432307[/C][C]591.888737897025[/C][/ROW]
[ROW][C]0.2[/C][C]7482.74112872054[/C][C]613.047290223984[/C][/ROW]
[ROW][C]0.21[/C][C]7634.904403325[/C][C]634.081011542597[/C][/ROW]
[ROW][C]0.22[/C][C]7789.0138399468[/C][C]653.51622281046[/C][/ROW]
[ROW][C]0.23[/C][C]7944.78610478839[/C][C]670.202363971948[/C][/ROW]
[ROW][C]0.24[/C][C]8101.68770594144[/C][C]683.427102817301[/C][/ROW]
[ROW][C]0.25[/C][C]8259.01286865948[/C][C]692.722648339745[/C][/ROW]
[ROW][C]0.26[/C][C]8415.96695106997[/C][C]697.793566265473[/C][/ROW]
[ROW][C]0.27[/C][C]8571.742238952[/C][C]698.576911111334[/C][/ROW]
[ROW][C]0.28[/C][C]8725.58743174646[/C][C]695.279229598699[/C][/ROW]
[ROW][C]0.29[/C][C]8876.87474803028[/C][C]688.559197493688[/C][/ROW]
[ROW][C]0.3[/C][C]9025.16261615737[/C][C]679.493168210627[/C][/ROW]
[ROW][C]0.31[/C][C]9170.24452183647[/C][C]669.502175680301[/C][/ROW]
[ROW][C]0.32[/C][C]9312.17166250374[/C][C]660.054946452022[/C][/ROW]
[ROW][C]0.33[/C][C]9451.2405183365[/C][C]652.502459185129[/C][/ROW]
[ROW][C]0.34[/C][C]9587.94438299397[/C][C]647.733605557558[/C][/ROW]
[ROW][C]0.35[/C][C]9722.89658152908[/C][C]646.21103296343[/C][/ROW]
[ROW][C]0.36[/C][C]9856.73922526447[/C][C]647.734553985588[/C][/ROW]
[ROW][C]0.37[/C][C]9990.05331354681[/C][C]651.697476672112[/C][/ROW]
[ROW][C]0.38[/C][C]10123.2840171406[/C][C]657.118448951096[/C][/ROW]
[ROW][C]0.39[/C][C]10256.6904443792[/C][C]662.883856050247[/C][/ROW]
[ROW][C]0.4[/C][C]10390.3237655689[/C][C]667.835540729155[/C][/ROW]
[ROW][C]0.41[/C][C]10524.0326039865[/C][C]670.969615952199[/C][/ROW]
[ROW][C]0.42[/C][C]10657.4909022420[/C][C]671.484253871933[/C][/ROW]
[ROW][C]0.43[/C][C]10790.2413565930[/C][C]668.87643572379[/C][/ROW]
[ROW][C]0.44[/C][C]10921.7469458963[/C][C]662.915116218639[/C][/ROW]
[ROW][C]0.45[/C][C]11051.4438060893[/C][C]653.627151545409[/C][/ROW]
[ROW][C]0.46[/C][C]11178.7903039511[/C][C]641.290661192994[/C][/ROW]
[ROW][C]0.47[/C][C]11303.3091485620[/C][C]626.375300222155[/C][/ROW]
[ROW][C]0.48[/C][C]11424.6212545072[/C][C]609.465238366172[/C][/ROW]
[ROW][C]0.49[/C][C]11542.4714654174[/C][C]591.242647535597[/C][/ROW]
[ROW][C]0.5[/C][C]11656.7469984909[/C][C]572.49203368465[/C][/ROW]
[ROW][C]0.51[/C][C]11767.4896513298[/C][C]554.029388804687[/C][/ROW]
[ROW][C]0.52[/C][C]11874.9026584851[/C][C]536.707038167498[/C][/ROW]
[ROW][C]0.53[/C][C]11979.3528706421[/C][C]521.389446170536[/C][/ROW]
[ROW][C]0.54[/C][C]12081.3688364106[/C][C]508.902183119125[/C][/ROW]
[ROW][C]0.55[/C][C]12181.6354132241[/C][C]500.071918601627[/C][/ROW]
[ROW][C]0.56[/C][C]12280.9855854786[/C][C]495.60826168864[/C][/ROW]
[ROW][C]0.57[/C][C]12380.3900164124[/C][C]496.17736840586[/C][/ROW]
[ROW][C]0.58[/C][C]12480.9443267097[/C][C]502.329399092909[/C][/ROW]
[ROW][C]0.59[/C][C]12583.8531181177[/C][C]514.526498261226[/C][/ROW]
[ROW][C]0.6[/C][C]12690.4084625482[/C][C]533.100286147176[/C][/ROW]
[ROW][C]0.61[/C][C]12801.9592764665[/C][C]558.181632612418[/C][/ROW]
[ROW][C]0.62[/C][C]12919.8672058532[/C][C]589.640307108035[/C][/ROW]
[ROW][C]0.63[/C][C]13045.4449810489[/C][C]627.057362906025[/C][/ROW]
[ROW][C]0.64[/C][C]13179.8752327061[/C][C]669.509778622726[/C][/ROW]
[ROW][C]0.65[/C][C]13324.1117496577[/C][C]715.55731608598[/C][/ROW]
[ROW][C]0.66[/C][C]13478.7707773725[/C][C]763.225966970968[/C][/ROW]
[ROW][C]0.67[/C][C]13644.0261129572[/C][C]809.97736707187[/C][/ROW]
[ROW][C]0.68[/C][C]13819.5266873736[/C][C]852.99337712867[/C][/ROW]
[ROW][C]0.69[/C][C]14004.3570229556[/C][C]889.379770547654[/C][/ROW]
[ROW][C]0.7[/C][C]14197.0578395179[/C][C]916.525186698976[/C][/ROW]
[ROW][C]0.71[/C][C]14395.7157691584[/C][C]932.496773810633[/C][/ROW]
[ROW][C]0.72[/C][C]14598.1189261511[/C][C]936.289813943355[/C][/ROW]
[ROW][C]0.73[/C][C]14801.9618942289[/C][C]928.055279875578[/C][/ROW]
[ROW][C]0.74[/C][C]15005.0733492931[/C][C]909.062002008125[/C][/ROW]
[ROW][C]0.75[/C][C]15205.6353648159[/C][C]881.630434424985[/C][/ROW]
[ROW][C]0.76[/C][C]15402.3667567354[/C][C]848.731186039141[/C][/ROW]
[ROW][C]0.77[/C][C]15594.6518544764[/C][C]813.674593647562[/C][/ROW]
[ROW][C]0.78[/C][C]15782.6062803816[/C][C]779.817190751926[/C][/ROW]
[ROW][C]0.79[/C][C]15967.0773812144[/C][C]750.23686269537[/C][/ROW]
[ROW][C]0.8[/C][C]16149.5762003319[/C][C]727.51856249131[/C][/ROW]
[ROW][C]0.81[/C][C]16332.1331693653[/C][C]713.516750507018[/C][/ROW]
[ROW][C]0.82[/C][C]16517.0693478625[/C][C]709.01134690933[/C][/ROW]
[ROW][C]0.83[/C][C]16706.6879767533[/C][C]713.190349292338[/C][/ROW]
[ROW][C]0.84[/C][C]16902.9187736236[/C][C]723.471293970502[/C][/ROW]
[ROW][C]0.85[/C][C]17106.9781530116[/C][C]735.7283675817[/C][/ROW]
[ROW][C]0.86[/C][C]17319.1220779344[/C][C]745.2286628875[/C][/ROW]
[ROW][C]0.87[/C][C]17538.5517053463[/C][C]747.61796294331[/C][/ROW]
[ROW][C]0.88[/C][C]17763.4969313433[/C][C]739.891473751475[/C][/ROW]
[ROW][C]0.89[/C][C]17991.4809263991[/C][C]720.451674759974[/C][/ROW]
[ROW][C]0.9[/C][C]18219.7726970376[/C][C]689.233743833439[/C][/ROW]
[ROW][C]0.91[/C][C]18446.0137589621[/C][C]647.913271890438[/C][/ROW]
[ROW][C]0.92[/C][C]18668.8748156649[/C][C]600.540828200793[/C][/ROW]
[ROW][C]0.93[/C][C]18888.4365570833[/C][C]552.983316817902[/C][/ROW]
[ROW][C]0.94[/C][C]19106.3585895500[/C][C]509.295976925465[/C][/ROW]
[ROW][C]0.95[/C][C]19327.8520740377[/C][C]467.988519057033[/C][/ROW]
[ROW][C]0.96[/C][C]19570.7188298470[/C][C]432.182072893085[/C][/ROW]
[ROW][C]0.97[/C][C]19883.4226123483[/C][C]456.972240101081[/C][/ROW]
[ROW][C]0.98[/C][C]20343.6172081493[/C][C]686.833347450337[/C][/ROW]
[ROW][C]0.99[/C][C]20956.284211071[/C][C]1158.37585941789[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38475&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38475&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
0.012748.464904574661005.80919146589
0.023487.366330368861312.32544717414
0.034262.817121022171185.96690739585
0.044884.95521728843844.611305356532
0.055308.41385212735538.710348934397
0.065575.37379902636358.942107710406
0.075748.44485563487288.464972481931
0.085876.35468484646281.018494888028
0.095988.0807206406304.154722738768
0.16098.38663903544342.408221268524
0.116213.97419265355386.892130840864
0.126337.22802489273430.641968031151
0.136468.10461892441468.516352334491
0.146605.22732256625498.184685725504
0.156746.73596843036520.376774289586
0.166890.96441725752537.968029926499
0.177036.8457318789554.37606638767
0.187183.99275022074572.088991084845
0.197332.51896432307591.888737897025
0.27482.74112872054613.047290223984
0.217634.904403325634.081011542597
0.227789.0138399468653.51622281046
0.237944.78610478839670.202363971948
0.248101.68770594144683.427102817301
0.258259.01286865948692.722648339745
0.268415.96695106997697.793566265473
0.278571.742238952698.576911111334
0.288725.58743174646695.279229598699
0.298876.87474803028688.559197493688
0.39025.16261615737679.493168210627
0.319170.24452183647669.502175680301
0.329312.17166250374660.054946452022
0.339451.2405183365652.502459185129
0.349587.94438299397647.733605557558
0.359722.89658152908646.21103296343
0.369856.73922526447647.734553985588
0.379990.05331354681651.697476672112
0.3810123.2840171406657.118448951096
0.3910256.6904443792662.883856050247
0.410390.3237655689667.835540729155
0.4110524.0326039865670.969615952199
0.4210657.4909022420671.484253871933
0.4310790.2413565930668.87643572379
0.4410921.7469458963662.915116218639
0.4511051.4438060893653.627151545409
0.4611178.7903039511641.290661192994
0.4711303.3091485620626.375300222155
0.4811424.6212545072609.465238366172
0.4911542.4714654174591.242647535597
0.511656.7469984909572.49203368465
0.5111767.4896513298554.029388804687
0.5211874.9026584851536.707038167498
0.5311979.3528706421521.389446170536
0.5412081.3688364106508.902183119125
0.5512181.6354132241500.071918601627
0.5612280.9855854786495.60826168864
0.5712380.3900164124496.17736840586
0.5812480.9443267097502.329399092909
0.5912583.8531181177514.526498261226
0.612690.4084625482533.100286147176
0.6112801.9592764665558.181632612418
0.6212919.8672058532589.640307108035
0.6313045.4449810489627.057362906025
0.6413179.8752327061669.509778622726
0.6513324.1117496577715.55731608598
0.6613478.7707773725763.225966970968
0.6713644.0261129572809.97736707187
0.6813819.5266873736852.99337712867
0.6914004.3570229556889.379770547654
0.714197.0578395179916.525186698976
0.7114395.7157691584932.496773810633
0.7214598.1189261511936.289813943355
0.7314801.9618942289928.055279875578
0.7415005.0733492931909.062002008125
0.7515205.6353648159881.630434424985
0.7615402.3667567354848.731186039141
0.7715594.6518544764813.674593647562
0.7815782.6062803816779.817190751926
0.7915967.0773812144750.23686269537
0.816149.5762003319727.51856249131
0.8116332.1331693653713.516750507018
0.8216517.0693478625709.01134690933
0.8316706.6879767533713.190349292338
0.8416902.9187736236723.471293970502
0.8517106.9781530116735.7283675817
0.8617319.1220779344745.2286628875
0.8717538.5517053463747.61796294331
0.8817763.4969313433739.891473751475
0.8917991.4809263991720.451674759974
0.918219.7726970376689.233743833439
0.9118446.0137589621647.913271890438
0.9218668.8748156649600.540828200793
0.9318888.4365570833552.983316817902
0.9419106.3585895500509.295976925465
0.9519327.8520740377467.988519057033
0.9619570.7188298470432.182072893085
0.9719883.4226123483456.972240101081
0.9820343.6172081493686.833347450337
0.9920956.2842110711158.37585941789



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')