FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

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 Tue, 16 Apr 2024 09:01:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38475, Retrieved Tue, 16 Apr 2024 09:01:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact197

Tree of Dependent Computations

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]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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

Tables (Output of Computation)





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:  
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:  
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


Figures (Output of Computation)

Input Parameters & R Code

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')