Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 07 Dec 2008 12:00:07 -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/Dec/07/t1228676454kmnizy64o3dn8vb.htm/, Retrieved Sun, 19 May 2024 10:48:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=30249, Retrieved Sun, 19 May 2024 10:48:30 +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)
-     [Univariate Data Series] [Uitvoer per gewes...] [2008-12-07 13:17:15] [299afd6311e4c20059ea2f05c8dd029d]
- RMPD  [Mean versus Median] [Totale Uitvoer va...] [2008-12-07 18:10:11] [299afd6311e4c20059ea2f05c8dd029d]
- RM D    [Variability] [Totale Uitvoer va...] [2008-12-07 18:27:09] [299afd6311e4c20059ea2f05c8dd029d]
- RMP       [Stem-and-leaf Plot] [Totale Uitvoer va...] [2008-12-07 18:30:57] [299afd6311e4c20059ea2f05c8dd029d]
- RMPD        [Quartiles] [Totale Uitvoer va...] [2008-12-07 18:50:34] [299afd6311e4c20059ea2f05c8dd029d]
-    D          [Quartiles] [Totale Uitvoer va...] [2008-12-07 18:55:01] [299afd6311e4c20059ea2f05c8dd029d]
- RM D              [Harrell-Davis Quantiles] [Totale Uitvoer va...] [2008-12-07 19:00:07] [5e2b1e7aa808f9f0d23fd35605d4968f] [Current]
Feedback Forum

Post a new message
Dataseries X:
14291.1
14205.3
15859.4
15258.9
15498.6
15106.5
15023.6
12083
15761.3
16943
15070.3
13659.6
14768.9
14725.1
15998.1
15370.6
14956.9
15469.7
15101.8
11703.7
16283.6
16726.5
14968.9
14861
14583.3
15305.8
17903.9
16379.4
15420.3
17870.5
15912.8
13866.5
17823.2
17872
17420.4
16704.4
15991.2
16583.6
19123.5
17838.7
17209.4
18586.5
16258.1
15141.6
19202.1
17746.5
19090.1
18040.3
17515.5
17751.8
21072.4
17170
19439.5
19795.4
17574.9
16165.4
19464.6
19932.1
19961.2
17343.4
18924.2
18574.1
21350.6
18594.6
19823.1
20844.4
19640.2
17735.4
19813.6
22160
20664.3
17877.4




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30249&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30249&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30249&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'George Udny Yule' @ 72.249.76.132







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0111930.7823013219623.570103495342
0.01512118.7018620978771.323104833545
0.0212339.5125426436879.248765059981
0.02512577.7913970623930.137107516572
0.0312819.2901896671925.517785517698
0.03513052.5835638030878.230451034204
0.0413269.7366723131805.157396705067
0.04513466.2350825064722.09107745653
0.0513640.4485522263640.915543645084
0.05513792.8769795492568.863663998513
0.0613925.3727793999508.92365443902
0.06514040.4667233450461.048806020318
0.0714140.8594278499423.403372977687
0.07514229.0892354494393.522459468307
0.0814307.3540628432369.034018649185
0.08514377.4491519663348.045029934763
0.0914440.7803534704329.200681952795
0.09514498.4183044863311.652137068552
0.114551.1679663187294.927739235714
0.10514599.6372224805278.820873997831
0.1114644.2958585244263.290735863311
0.11514685.5216680699248.416307153797
0.1214723.6337812949234.310504573803
0.12514758.9150444611221.087876334125
0.1314791.6259083019208.852891695703
0.13514822.0122550809197.688748555638
0.1414850.3092366589187.632590228252
0.14514876.7427222554178.718535021880
0.1514901.5294878542170.959608671027
0.15514924.8768802555164.353866764151
0.1614946.9823796184158.896718789028
0.16514968.0332648482154.581815624627
0.1714988.206444968151.377456815540
0.17515007.6684405736149.249501705669
0.1815026.5754656973148.215153800780
0.18515045.0735563316148.218036020052
0.1915063.2987044265149.206133637333
0.19515081.3769753335151.135070506327
0.215099.4246054453153.954276751638
0.20515117.5480909778157.572205555090
0.2115135.8442866321161.942150005836
0.21515154.4005341918166.962383141456
0.2215173.2948371111172.585777728913
0.22515192.5960896578178.717079202072
0.2315212.3643602498185.312860979815
0.23515232.6512201742192.283893162322
0.2415253.5001024766199.593420532712
0.24515274.9466724515207.149253085258
0.2515297.0191913309214.941313545453
0.25515319.7388583177222.893591469291
0.2615343.1201224530230.936768681808
0.26515367.1709639753239.049887040037
0.2715391.8931536390247.150680197575
0.27515417.2825066759255.185541809956
0.2815443.3291545574263.094502578576
0.28515470.0178615359270.832820968323
0.2915497.3284135195278.332906440373
0.29515525.2361039442285.513875531381
0.315553.7123351487292.364192815252
0.30515582.7253448536298.823927864835
0.3115612.2410565400304.877651263028
0.31515642.2240408224310.516541134979
0.3215672.6385634332315.696948163007
0.32515703.4496852226320.494616309531
0.3315734.6243715764324.886700427378
0.33515766.1325635472328.92661252988
0.3415797.9481612068332.692251369473
0.34515830.0498713863336.219080923293
0.3515862.4218768821339.622136038315
0.35515895.0542919480342.936535449744
0.3615927.9433788241346.268380602143
0.36515961.0915113974349.703351481974
0.3715994.5068840392353.304418936037
0.37516028.2029754059357.130675324584
0.3816062.1977878102361.227801575169
0.38516096.5128920884365.643266171703
0.3916131.1723152712370.382057887597
0.39516166.2013135760375.446529002487
0.416201.6250761870380.848137088498
0.40516237.4674060631386.514122043629
0.4116273.7494227901392.448230474094
0.41516310.4883295700398.553999512894
0.4216347.6962821390404.751814646071
0.42516385.3793920775411.000112021227
0.4316423.5368909682417.144386273864
0.43516462.1604754660423.161468304029
0.4416501.2338468498428.918419927054
0.44516540.7324522378434.2837582304
0.4516580.6234285464439.184107915604
0.45516620.8657445896443.546238776126
0.4616661.4105315618447.259501046917
0.46516702.2015876028450.226220771283
0.4716743.1760382861452.432621108159
0.47516784.2651317677453.730886633458
0.4816825.3951450430454.16850710401
0.48516866.4883763351453.62158994757
0.4916907.4641981268452.103999099376
0.49516948.2401457685449.572963499336
0.516988.7330179350446.095877855857
0.50517028.8599674293441.627944574803
0.5117068.5395638443436.223160996561
0.51517107.6928132672429.888529179283
0.5217146.2441243584422.707611261204
0.52517184.1222145391414.700673729438
0.5317221.2609544183405.981533640244
0.53517257.6001527095396.591260425324
0.5417293.0862874448386.579941821579
0.54517327.6731920215376.050446751935
0.5517361.322706279365.134078582460
0.55517394.0053032075353.860007163867
0.5617425.7007009127342.37269799382
0.56517456.3984670478330.749226545135
0.5717486.0986191136319.124110791658
0.57517514.8122189434307.575566995481
0.5817542.5619535496296.220281970997
0.58517569.3826876204285.241652955223
0.5917595.3219657031274.733000564950
0.59517620.4404349636264.852994612329
0.617644.8121528714255.715037461786
0.60517668.5247387813247.507320760603
0.6117691.6793247189240.377932508442
0.61517714.3902592543234.514451117561
0.6217736.7845196416230.059615553546
0.62517759.0007917767227.180717888198
0.6317781.1881852175226.015903505935
0.63517803.5045615725226.68725995175
0.6417826.1144688334229.285580587599
0.64517849.1866913038233.834928538893
0.6517872.8914440246240.3355119193
0.65517897.3972611170248.745410033681
0.6617922.8676481616258.939005513660
0.66517949.4575883479270.767120746232
0.6717977.3100092986284.037614481546
0.67518006.5523308634298.544646869187
0.6818037.2932225231313.995017260228
0.68518069.6197013283330.118506686183
0.6918103.5946967884346.619012173230
0.69518139.2551975078363.1713680928
0.718176.6110757719379.478760464357
0.70518215.6446613276395.259632811839
0.7118256.3111053611410.187353467633
0.71518298.5395416317424.031711590124
0.7218342.2350156793436.521242428449
0.72518387.2811169777447.468381200401
0.7318433.5432149193456.742658257569
0.73518480.8721695768464.198309155311
0.7418529.1083640811469.773811442096
0.74518578.0858886809473.45325252569
0.7518627.6366982354475.259417295483
0.75518677.5945657804475.263829452622
0.7618727.7986652391473.547567369151
0.76518778.0966363042470.272008851415
0.7718828.3470136448465.569968325173
0.77518878.4209402382459.616164039713
0.7818928.2031298667452.606287079532
0.78518977.5920954275444.711816493024
0.7919026.4997160909436.065962189532
0.79519074.8502754995426.858827546374
0.819122.5791625017417.170836124477
0.80519169.6314820537407.152749817522
0.8119215.9608726927396.8395169559
0.81519261.5288632172386.283225200634
0.8219306.3051187335375.540945316441
0.82519350.2689179621364.608751898112
0.8319393.4121619632353.528766409396
0.83519435.7441315286342.360750760522
0.8419477.2980795978331.166235208698
0.84519518.1395616916320.107352857275
0.8519558.3761712344309.390767441994
0.85519598.1680640376299.334283933102
0.8619637.7383427749290.355815789170
0.86519677.3820556369282.985509118899
0.8719717.4722852335277.871274484812
0.87519758.4616205445275.719904343174
0.8819800.8772849754277.245859428478
0.88519845.3084123849283.05015325266
0.8919892.3844910349293.481021238033
0.89519942.7448841553308.566211784872
0.919997.0005994043327.866548183979
0.90520055.6910776819350.488592071886
0.9120119.2405975969375.152845995686
0.91520187.9207685398400.252058955546
0.9220261.8272704179423.985364026258
0.92520340.8801846353444.537597841396
0.9320424.857546922460.244610310427
0.93520513.4705388951469.879038967253
0.9420606.4850154143472.823221745597
0.94520703.8861348821469.366713445271
0.9520806.0681380847460.86500346102
0.95520914.0067687481449.915799471021
0.9621029.3358279199440.44377228276
0.96521154.2060674091437.675727352791
0.9721290.7711731714447.648919276504
0.97521440.1598747202475.826870929655
0.9821600.9152309097524.826302882525
0.98521767.1749297377592.19139427477
0.9921927.3400846777669.484653671094

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 11930.7823013219 & 623.570103495342 \tabularnewline
0.015 & 12118.7018620978 & 771.323104833545 \tabularnewline
0.02 & 12339.5125426436 & 879.248765059981 \tabularnewline
0.025 & 12577.7913970623 & 930.137107516572 \tabularnewline
0.03 & 12819.2901896671 & 925.517785517698 \tabularnewline
0.035 & 13052.5835638030 & 878.230451034204 \tabularnewline
0.04 & 13269.7366723131 & 805.157396705067 \tabularnewline
0.045 & 13466.2350825064 & 722.09107745653 \tabularnewline
0.05 & 13640.4485522263 & 640.915543645084 \tabularnewline
0.055 & 13792.8769795492 & 568.863663998513 \tabularnewline
0.06 & 13925.3727793999 & 508.92365443902 \tabularnewline
0.065 & 14040.4667233450 & 461.048806020318 \tabularnewline
0.07 & 14140.8594278499 & 423.403372977687 \tabularnewline
0.075 & 14229.0892354494 & 393.522459468307 \tabularnewline
0.08 & 14307.3540628432 & 369.034018649185 \tabularnewline
0.085 & 14377.4491519663 & 348.045029934763 \tabularnewline
0.09 & 14440.7803534704 & 329.200681952795 \tabularnewline
0.095 & 14498.4183044863 & 311.652137068552 \tabularnewline
0.1 & 14551.1679663187 & 294.927739235714 \tabularnewline
0.105 & 14599.6372224805 & 278.820873997831 \tabularnewline
0.11 & 14644.2958585244 & 263.290735863311 \tabularnewline
0.115 & 14685.5216680699 & 248.416307153797 \tabularnewline
0.12 & 14723.6337812949 & 234.310504573803 \tabularnewline
0.125 & 14758.9150444611 & 221.087876334125 \tabularnewline
0.13 & 14791.6259083019 & 208.852891695703 \tabularnewline
0.135 & 14822.0122550809 & 197.688748555638 \tabularnewline
0.14 & 14850.3092366589 & 187.632590228252 \tabularnewline
0.145 & 14876.7427222554 & 178.718535021880 \tabularnewline
0.15 & 14901.5294878542 & 170.959608671027 \tabularnewline
0.155 & 14924.8768802555 & 164.353866764151 \tabularnewline
0.16 & 14946.9823796184 & 158.896718789028 \tabularnewline
0.165 & 14968.0332648482 & 154.581815624627 \tabularnewline
0.17 & 14988.206444968 & 151.377456815540 \tabularnewline
0.175 & 15007.6684405736 & 149.249501705669 \tabularnewline
0.18 & 15026.5754656973 & 148.215153800780 \tabularnewline
0.185 & 15045.0735563316 & 148.218036020052 \tabularnewline
0.19 & 15063.2987044265 & 149.206133637333 \tabularnewline
0.195 & 15081.3769753335 & 151.135070506327 \tabularnewline
0.2 & 15099.4246054453 & 153.954276751638 \tabularnewline
0.205 & 15117.5480909778 & 157.572205555090 \tabularnewline
0.21 & 15135.8442866321 & 161.942150005836 \tabularnewline
0.215 & 15154.4005341918 & 166.962383141456 \tabularnewline
0.22 & 15173.2948371111 & 172.585777728913 \tabularnewline
0.225 & 15192.5960896578 & 178.717079202072 \tabularnewline
0.23 & 15212.3643602498 & 185.312860979815 \tabularnewline
0.235 & 15232.6512201742 & 192.283893162322 \tabularnewline
0.24 & 15253.5001024766 & 199.593420532712 \tabularnewline
0.245 & 15274.9466724515 & 207.149253085258 \tabularnewline
0.25 & 15297.0191913309 & 214.941313545453 \tabularnewline
0.255 & 15319.7388583177 & 222.893591469291 \tabularnewline
0.26 & 15343.1201224530 & 230.936768681808 \tabularnewline
0.265 & 15367.1709639753 & 239.049887040037 \tabularnewline
0.27 & 15391.8931536390 & 247.150680197575 \tabularnewline
0.275 & 15417.2825066759 & 255.185541809956 \tabularnewline
0.28 & 15443.3291545574 & 263.094502578576 \tabularnewline
0.285 & 15470.0178615359 & 270.832820968323 \tabularnewline
0.29 & 15497.3284135195 & 278.332906440373 \tabularnewline
0.295 & 15525.2361039442 & 285.513875531381 \tabularnewline
0.3 & 15553.7123351487 & 292.364192815252 \tabularnewline
0.305 & 15582.7253448536 & 298.823927864835 \tabularnewline
0.31 & 15612.2410565400 & 304.877651263028 \tabularnewline
0.315 & 15642.2240408224 & 310.516541134979 \tabularnewline
0.32 & 15672.6385634332 & 315.696948163007 \tabularnewline
0.325 & 15703.4496852226 & 320.494616309531 \tabularnewline
0.33 & 15734.6243715764 & 324.886700427378 \tabularnewline
0.335 & 15766.1325635472 & 328.92661252988 \tabularnewline
0.34 & 15797.9481612068 & 332.692251369473 \tabularnewline
0.345 & 15830.0498713863 & 336.219080923293 \tabularnewline
0.35 & 15862.4218768821 & 339.622136038315 \tabularnewline
0.355 & 15895.0542919480 & 342.936535449744 \tabularnewline
0.36 & 15927.9433788241 & 346.268380602143 \tabularnewline
0.365 & 15961.0915113974 & 349.703351481974 \tabularnewline
0.37 & 15994.5068840392 & 353.304418936037 \tabularnewline
0.375 & 16028.2029754059 & 357.130675324584 \tabularnewline
0.38 & 16062.1977878102 & 361.227801575169 \tabularnewline
0.385 & 16096.5128920884 & 365.643266171703 \tabularnewline
0.39 & 16131.1723152712 & 370.382057887597 \tabularnewline
0.395 & 16166.2013135760 & 375.446529002487 \tabularnewline
0.4 & 16201.6250761870 & 380.848137088498 \tabularnewline
0.405 & 16237.4674060631 & 386.514122043629 \tabularnewline
0.41 & 16273.7494227901 & 392.448230474094 \tabularnewline
0.415 & 16310.4883295700 & 398.553999512894 \tabularnewline
0.42 & 16347.6962821390 & 404.751814646071 \tabularnewline
0.425 & 16385.3793920775 & 411.000112021227 \tabularnewline
0.43 & 16423.5368909682 & 417.144386273864 \tabularnewline
0.435 & 16462.1604754660 & 423.161468304029 \tabularnewline
0.44 & 16501.2338468498 & 428.918419927054 \tabularnewline
0.445 & 16540.7324522378 & 434.2837582304 \tabularnewline
0.45 & 16580.6234285464 & 439.184107915604 \tabularnewline
0.455 & 16620.8657445896 & 443.546238776126 \tabularnewline
0.46 & 16661.4105315618 & 447.259501046917 \tabularnewline
0.465 & 16702.2015876028 & 450.226220771283 \tabularnewline
0.47 & 16743.1760382861 & 452.432621108159 \tabularnewline
0.475 & 16784.2651317677 & 453.730886633458 \tabularnewline
0.48 & 16825.3951450430 & 454.16850710401 \tabularnewline
0.485 & 16866.4883763351 & 453.62158994757 \tabularnewline
0.49 & 16907.4641981268 & 452.103999099376 \tabularnewline
0.495 & 16948.2401457685 & 449.572963499336 \tabularnewline
0.5 & 16988.7330179350 & 446.095877855857 \tabularnewline
0.505 & 17028.8599674293 & 441.627944574803 \tabularnewline
0.51 & 17068.5395638443 & 436.223160996561 \tabularnewline
0.515 & 17107.6928132672 & 429.888529179283 \tabularnewline
0.52 & 17146.2441243584 & 422.707611261204 \tabularnewline
0.525 & 17184.1222145391 & 414.700673729438 \tabularnewline
0.53 & 17221.2609544183 & 405.981533640244 \tabularnewline
0.535 & 17257.6001527095 & 396.591260425324 \tabularnewline
0.54 & 17293.0862874448 & 386.579941821579 \tabularnewline
0.545 & 17327.6731920215 & 376.050446751935 \tabularnewline
0.55 & 17361.322706279 & 365.134078582460 \tabularnewline
0.555 & 17394.0053032075 & 353.860007163867 \tabularnewline
0.56 & 17425.7007009127 & 342.37269799382 \tabularnewline
0.565 & 17456.3984670478 & 330.749226545135 \tabularnewline
0.57 & 17486.0986191136 & 319.124110791658 \tabularnewline
0.575 & 17514.8122189434 & 307.575566995481 \tabularnewline
0.58 & 17542.5619535496 & 296.220281970997 \tabularnewline
0.585 & 17569.3826876204 & 285.241652955223 \tabularnewline
0.59 & 17595.3219657031 & 274.733000564950 \tabularnewline
0.595 & 17620.4404349636 & 264.852994612329 \tabularnewline
0.6 & 17644.8121528714 & 255.715037461786 \tabularnewline
0.605 & 17668.5247387813 & 247.507320760603 \tabularnewline
0.61 & 17691.6793247189 & 240.377932508442 \tabularnewline
0.615 & 17714.3902592543 & 234.514451117561 \tabularnewline
0.62 & 17736.7845196416 & 230.059615553546 \tabularnewline
0.625 & 17759.0007917767 & 227.180717888198 \tabularnewline
0.63 & 17781.1881852175 & 226.015903505935 \tabularnewline
0.635 & 17803.5045615725 & 226.68725995175 \tabularnewline
0.64 & 17826.1144688334 & 229.285580587599 \tabularnewline
0.645 & 17849.1866913038 & 233.834928538893 \tabularnewline
0.65 & 17872.8914440246 & 240.3355119193 \tabularnewline
0.655 & 17897.3972611170 & 248.745410033681 \tabularnewline
0.66 & 17922.8676481616 & 258.939005513660 \tabularnewline
0.665 & 17949.4575883479 & 270.767120746232 \tabularnewline
0.67 & 17977.3100092986 & 284.037614481546 \tabularnewline
0.675 & 18006.5523308634 & 298.544646869187 \tabularnewline
0.68 & 18037.2932225231 & 313.995017260228 \tabularnewline
0.685 & 18069.6197013283 & 330.118506686183 \tabularnewline
0.69 & 18103.5946967884 & 346.619012173230 \tabularnewline
0.695 & 18139.2551975078 & 363.1713680928 \tabularnewline
0.7 & 18176.6110757719 & 379.478760464357 \tabularnewline
0.705 & 18215.6446613276 & 395.259632811839 \tabularnewline
0.71 & 18256.3111053611 & 410.187353467633 \tabularnewline
0.715 & 18298.5395416317 & 424.031711590124 \tabularnewline
0.72 & 18342.2350156793 & 436.521242428449 \tabularnewline
0.725 & 18387.2811169777 & 447.468381200401 \tabularnewline
0.73 & 18433.5432149193 & 456.742658257569 \tabularnewline
0.735 & 18480.8721695768 & 464.198309155311 \tabularnewline
0.74 & 18529.1083640811 & 469.773811442096 \tabularnewline
0.745 & 18578.0858886809 & 473.45325252569 \tabularnewline
0.75 & 18627.6366982354 & 475.259417295483 \tabularnewline
0.755 & 18677.5945657804 & 475.263829452622 \tabularnewline
0.76 & 18727.7986652391 & 473.547567369151 \tabularnewline
0.765 & 18778.0966363042 & 470.272008851415 \tabularnewline
0.77 & 18828.3470136448 & 465.569968325173 \tabularnewline
0.775 & 18878.4209402382 & 459.616164039713 \tabularnewline
0.78 & 18928.2031298667 & 452.606287079532 \tabularnewline
0.785 & 18977.5920954275 & 444.711816493024 \tabularnewline
0.79 & 19026.4997160909 & 436.065962189532 \tabularnewline
0.795 & 19074.8502754995 & 426.858827546374 \tabularnewline
0.8 & 19122.5791625017 & 417.170836124477 \tabularnewline
0.805 & 19169.6314820537 & 407.152749817522 \tabularnewline
0.81 & 19215.9608726927 & 396.8395169559 \tabularnewline
0.815 & 19261.5288632172 & 386.283225200634 \tabularnewline
0.82 & 19306.3051187335 & 375.540945316441 \tabularnewline
0.825 & 19350.2689179621 & 364.608751898112 \tabularnewline
0.83 & 19393.4121619632 & 353.528766409396 \tabularnewline
0.835 & 19435.7441315286 & 342.360750760522 \tabularnewline
0.84 & 19477.2980795978 & 331.166235208698 \tabularnewline
0.845 & 19518.1395616916 & 320.107352857275 \tabularnewline
0.85 & 19558.3761712344 & 309.390767441994 \tabularnewline
0.855 & 19598.1680640376 & 299.334283933102 \tabularnewline
0.86 & 19637.7383427749 & 290.355815789170 \tabularnewline
0.865 & 19677.3820556369 & 282.985509118899 \tabularnewline
0.87 & 19717.4722852335 & 277.871274484812 \tabularnewline
0.875 & 19758.4616205445 & 275.719904343174 \tabularnewline
0.88 & 19800.8772849754 & 277.245859428478 \tabularnewline
0.885 & 19845.3084123849 & 283.05015325266 \tabularnewline
0.89 & 19892.3844910349 & 293.481021238033 \tabularnewline
0.895 & 19942.7448841553 & 308.566211784872 \tabularnewline
0.9 & 19997.0005994043 & 327.866548183979 \tabularnewline
0.905 & 20055.6910776819 & 350.488592071886 \tabularnewline
0.91 & 20119.2405975969 & 375.152845995686 \tabularnewline
0.915 & 20187.9207685398 & 400.252058955546 \tabularnewline
0.92 & 20261.8272704179 & 423.985364026258 \tabularnewline
0.925 & 20340.8801846353 & 444.537597841396 \tabularnewline
0.93 & 20424.857546922 & 460.244610310427 \tabularnewline
0.935 & 20513.4705388951 & 469.879038967253 \tabularnewline
0.94 & 20606.4850154143 & 472.823221745597 \tabularnewline
0.945 & 20703.8861348821 & 469.366713445271 \tabularnewline
0.95 & 20806.0681380847 & 460.86500346102 \tabularnewline
0.955 & 20914.0067687481 & 449.915799471021 \tabularnewline
0.96 & 21029.3358279199 & 440.44377228276 \tabularnewline
0.965 & 21154.2060674091 & 437.675727352791 \tabularnewline
0.97 & 21290.7711731714 & 447.648919276504 \tabularnewline
0.975 & 21440.1598747202 & 475.826870929655 \tabularnewline
0.98 & 21600.9152309097 & 524.826302882525 \tabularnewline
0.985 & 21767.1749297377 & 592.19139427477 \tabularnewline
0.99 & 21927.3400846777 & 669.484653671094 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30249&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]11930.7823013219[/C][C]623.570103495342[/C][/ROW]
[ROW][C]0.015[/C][C]12118.7018620978[/C][C]771.323104833545[/C][/ROW]
[ROW][C]0.02[/C][C]12339.5125426436[/C][C]879.248765059981[/C][/ROW]
[ROW][C]0.025[/C][C]12577.7913970623[/C][C]930.137107516572[/C][/ROW]
[ROW][C]0.03[/C][C]12819.2901896671[/C][C]925.517785517698[/C][/ROW]
[ROW][C]0.035[/C][C]13052.5835638030[/C][C]878.230451034204[/C][/ROW]
[ROW][C]0.04[/C][C]13269.7366723131[/C][C]805.157396705067[/C][/ROW]
[ROW][C]0.045[/C][C]13466.2350825064[/C][C]722.09107745653[/C][/ROW]
[ROW][C]0.05[/C][C]13640.4485522263[/C][C]640.915543645084[/C][/ROW]
[ROW][C]0.055[/C][C]13792.8769795492[/C][C]568.863663998513[/C][/ROW]
[ROW][C]0.06[/C][C]13925.3727793999[/C][C]508.92365443902[/C][/ROW]
[ROW][C]0.065[/C][C]14040.4667233450[/C][C]461.048806020318[/C][/ROW]
[ROW][C]0.07[/C][C]14140.8594278499[/C][C]423.403372977687[/C][/ROW]
[ROW][C]0.075[/C][C]14229.0892354494[/C][C]393.522459468307[/C][/ROW]
[ROW][C]0.08[/C][C]14307.3540628432[/C][C]369.034018649185[/C][/ROW]
[ROW][C]0.085[/C][C]14377.4491519663[/C][C]348.045029934763[/C][/ROW]
[ROW][C]0.09[/C][C]14440.7803534704[/C][C]329.200681952795[/C][/ROW]
[ROW][C]0.095[/C][C]14498.4183044863[/C][C]311.652137068552[/C][/ROW]
[ROW][C]0.1[/C][C]14551.1679663187[/C][C]294.927739235714[/C][/ROW]
[ROW][C]0.105[/C][C]14599.6372224805[/C][C]278.820873997831[/C][/ROW]
[ROW][C]0.11[/C][C]14644.2958585244[/C][C]263.290735863311[/C][/ROW]
[ROW][C]0.115[/C][C]14685.5216680699[/C][C]248.416307153797[/C][/ROW]
[ROW][C]0.12[/C][C]14723.6337812949[/C][C]234.310504573803[/C][/ROW]
[ROW][C]0.125[/C][C]14758.9150444611[/C][C]221.087876334125[/C][/ROW]
[ROW][C]0.13[/C][C]14791.6259083019[/C][C]208.852891695703[/C][/ROW]
[ROW][C]0.135[/C][C]14822.0122550809[/C][C]197.688748555638[/C][/ROW]
[ROW][C]0.14[/C][C]14850.3092366589[/C][C]187.632590228252[/C][/ROW]
[ROW][C]0.145[/C][C]14876.7427222554[/C][C]178.718535021880[/C][/ROW]
[ROW][C]0.15[/C][C]14901.5294878542[/C][C]170.959608671027[/C][/ROW]
[ROW][C]0.155[/C][C]14924.8768802555[/C][C]164.353866764151[/C][/ROW]
[ROW][C]0.16[/C][C]14946.9823796184[/C][C]158.896718789028[/C][/ROW]
[ROW][C]0.165[/C][C]14968.0332648482[/C][C]154.581815624627[/C][/ROW]
[ROW][C]0.17[/C][C]14988.206444968[/C][C]151.377456815540[/C][/ROW]
[ROW][C]0.175[/C][C]15007.6684405736[/C][C]149.249501705669[/C][/ROW]
[ROW][C]0.18[/C][C]15026.5754656973[/C][C]148.215153800780[/C][/ROW]
[ROW][C]0.185[/C][C]15045.0735563316[/C][C]148.218036020052[/C][/ROW]
[ROW][C]0.19[/C][C]15063.2987044265[/C][C]149.206133637333[/C][/ROW]
[ROW][C]0.195[/C][C]15081.3769753335[/C][C]151.135070506327[/C][/ROW]
[ROW][C]0.2[/C][C]15099.4246054453[/C][C]153.954276751638[/C][/ROW]
[ROW][C]0.205[/C][C]15117.5480909778[/C][C]157.572205555090[/C][/ROW]
[ROW][C]0.21[/C][C]15135.8442866321[/C][C]161.942150005836[/C][/ROW]
[ROW][C]0.215[/C][C]15154.4005341918[/C][C]166.962383141456[/C][/ROW]
[ROW][C]0.22[/C][C]15173.2948371111[/C][C]172.585777728913[/C][/ROW]
[ROW][C]0.225[/C][C]15192.5960896578[/C][C]178.717079202072[/C][/ROW]
[ROW][C]0.23[/C][C]15212.3643602498[/C][C]185.312860979815[/C][/ROW]
[ROW][C]0.235[/C][C]15232.6512201742[/C][C]192.283893162322[/C][/ROW]
[ROW][C]0.24[/C][C]15253.5001024766[/C][C]199.593420532712[/C][/ROW]
[ROW][C]0.245[/C][C]15274.9466724515[/C][C]207.149253085258[/C][/ROW]
[ROW][C]0.25[/C][C]15297.0191913309[/C][C]214.941313545453[/C][/ROW]
[ROW][C]0.255[/C][C]15319.7388583177[/C][C]222.893591469291[/C][/ROW]
[ROW][C]0.26[/C][C]15343.1201224530[/C][C]230.936768681808[/C][/ROW]
[ROW][C]0.265[/C][C]15367.1709639753[/C][C]239.049887040037[/C][/ROW]
[ROW][C]0.27[/C][C]15391.8931536390[/C][C]247.150680197575[/C][/ROW]
[ROW][C]0.275[/C][C]15417.2825066759[/C][C]255.185541809956[/C][/ROW]
[ROW][C]0.28[/C][C]15443.3291545574[/C][C]263.094502578576[/C][/ROW]
[ROW][C]0.285[/C][C]15470.0178615359[/C][C]270.832820968323[/C][/ROW]
[ROW][C]0.29[/C][C]15497.3284135195[/C][C]278.332906440373[/C][/ROW]
[ROW][C]0.295[/C][C]15525.2361039442[/C][C]285.513875531381[/C][/ROW]
[ROW][C]0.3[/C][C]15553.7123351487[/C][C]292.364192815252[/C][/ROW]
[ROW][C]0.305[/C][C]15582.7253448536[/C][C]298.823927864835[/C][/ROW]
[ROW][C]0.31[/C][C]15612.2410565400[/C][C]304.877651263028[/C][/ROW]
[ROW][C]0.315[/C][C]15642.2240408224[/C][C]310.516541134979[/C][/ROW]
[ROW][C]0.32[/C][C]15672.6385634332[/C][C]315.696948163007[/C][/ROW]
[ROW][C]0.325[/C][C]15703.4496852226[/C][C]320.494616309531[/C][/ROW]
[ROW][C]0.33[/C][C]15734.6243715764[/C][C]324.886700427378[/C][/ROW]
[ROW][C]0.335[/C][C]15766.1325635472[/C][C]328.92661252988[/C][/ROW]
[ROW][C]0.34[/C][C]15797.9481612068[/C][C]332.692251369473[/C][/ROW]
[ROW][C]0.345[/C][C]15830.0498713863[/C][C]336.219080923293[/C][/ROW]
[ROW][C]0.35[/C][C]15862.4218768821[/C][C]339.622136038315[/C][/ROW]
[ROW][C]0.355[/C][C]15895.0542919480[/C][C]342.936535449744[/C][/ROW]
[ROW][C]0.36[/C][C]15927.9433788241[/C][C]346.268380602143[/C][/ROW]
[ROW][C]0.365[/C][C]15961.0915113974[/C][C]349.703351481974[/C][/ROW]
[ROW][C]0.37[/C][C]15994.5068840392[/C][C]353.304418936037[/C][/ROW]
[ROW][C]0.375[/C][C]16028.2029754059[/C][C]357.130675324584[/C][/ROW]
[ROW][C]0.38[/C][C]16062.1977878102[/C][C]361.227801575169[/C][/ROW]
[ROW][C]0.385[/C][C]16096.5128920884[/C][C]365.643266171703[/C][/ROW]
[ROW][C]0.39[/C][C]16131.1723152712[/C][C]370.382057887597[/C][/ROW]
[ROW][C]0.395[/C][C]16166.2013135760[/C][C]375.446529002487[/C][/ROW]
[ROW][C]0.4[/C][C]16201.6250761870[/C][C]380.848137088498[/C][/ROW]
[ROW][C]0.405[/C][C]16237.4674060631[/C][C]386.514122043629[/C][/ROW]
[ROW][C]0.41[/C][C]16273.7494227901[/C][C]392.448230474094[/C][/ROW]
[ROW][C]0.415[/C][C]16310.4883295700[/C][C]398.553999512894[/C][/ROW]
[ROW][C]0.42[/C][C]16347.6962821390[/C][C]404.751814646071[/C][/ROW]
[ROW][C]0.425[/C][C]16385.3793920775[/C][C]411.000112021227[/C][/ROW]
[ROW][C]0.43[/C][C]16423.5368909682[/C][C]417.144386273864[/C][/ROW]
[ROW][C]0.435[/C][C]16462.1604754660[/C][C]423.161468304029[/C][/ROW]
[ROW][C]0.44[/C][C]16501.2338468498[/C][C]428.918419927054[/C][/ROW]
[ROW][C]0.445[/C][C]16540.7324522378[/C][C]434.2837582304[/C][/ROW]
[ROW][C]0.45[/C][C]16580.6234285464[/C][C]439.184107915604[/C][/ROW]
[ROW][C]0.455[/C][C]16620.8657445896[/C][C]443.546238776126[/C][/ROW]
[ROW][C]0.46[/C][C]16661.4105315618[/C][C]447.259501046917[/C][/ROW]
[ROW][C]0.465[/C][C]16702.2015876028[/C][C]450.226220771283[/C][/ROW]
[ROW][C]0.47[/C][C]16743.1760382861[/C][C]452.432621108159[/C][/ROW]
[ROW][C]0.475[/C][C]16784.2651317677[/C][C]453.730886633458[/C][/ROW]
[ROW][C]0.48[/C][C]16825.3951450430[/C][C]454.16850710401[/C][/ROW]
[ROW][C]0.485[/C][C]16866.4883763351[/C][C]453.62158994757[/C][/ROW]
[ROW][C]0.49[/C][C]16907.4641981268[/C][C]452.103999099376[/C][/ROW]
[ROW][C]0.495[/C][C]16948.2401457685[/C][C]449.572963499336[/C][/ROW]
[ROW][C]0.5[/C][C]16988.7330179350[/C][C]446.095877855857[/C][/ROW]
[ROW][C]0.505[/C][C]17028.8599674293[/C][C]441.627944574803[/C][/ROW]
[ROW][C]0.51[/C][C]17068.5395638443[/C][C]436.223160996561[/C][/ROW]
[ROW][C]0.515[/C][C]17107.6928132672[/C][C]429.888529179283[/C][/ROW]
[ROW][C]0.52[/C][C]17146.2441243584[/C][C]422.707611261204[/C][/ROW]
[ROW][C]0.525[/C][C]17184.1222145391[/C][C]414.700673729438[/C][/ROW]
[ROW][C]0.53[/C][C]17221.2609544183[/C][C]405.981533640244[/C][/ROW]
[ROW][C]0.535[/C][C]17257.6001527095[/C][C]396.591260425324[/C][/ROW]
[ROW][C]0.54[/C][C]17293.0862874448[/C][C]386.579941821579[/C][/ROW]
[ROW][C]0.545[/C][C]17327.6731920215[/C][C]376.050446751935[/C][/ROW]
[ROW][C]0.55[/C][C]17361.322706279[/C][C]365.134078582460[/C][/ROW]
[ROW][C]0.555[/C][C]17394.0053032075[/C][C]353.860007163867[/C][/ROW]
[ROW][C]0.56[/C][C]17425.7007009127[/C][C]342.37269799382[/C][/ROW]
[ROW][C]0.565[/C][C]17456.3984670478[/C][C]330.749226545135[/C][/ROW]
[ROW][C]0.57[/C][C]17486.0986191136[/C][C]319.124110791658[/C][/ROW]
[ROW][C]0.575[/C][C]17514.8122189434[/C][C]307.575566995481[/C][/ROW]
[ROW][C]0.58[/C][C]17542.5619535496[/C][C]296.220281970997[/C][/ROW]
[ROW][C]0.585[/C][C]17569.3826876204[/C][C]285.241652955223[/C][/ROW]
[ROW][C]0.59[/C][C]17595.3219657031[/C][C]274.733000564950[/C][/ROW]
[ROW][C]0.595[/C][C]17620.4404349636[/C][C]264.852994612329[/C][/ROW]
[ROW][C]0.6[/C][C]17644.8121528714[/C][C]255.715037461786[/C][/ROW]
[ROW][C]0.605[/C][C]17668.5247387813[/C][C]247.507320760603[/C][/ROW]
[ROW][C]0.61[/C][C]17691.6793247189[/C][C]240.377932508442[/C][/ROW]
[ROW][C]0.615[/C][C]17714.3902592543[/C][C]234.514451117561[/C][/ROW]
[ROW][C]0.62[/C][C]17736.7845196416[/C][C]230.059615553546[/C][/ROW]
[ROW][C]0.625[/C][C]17759.0007917767[/C][C]227.180717888198[/C][/ROW]
[ROW][C]0.63[/C][C]17781.1881852175[/C][C]226.015903505935[/C][/ROW]
[ROW][C]0.635[/C][C]17803.5045615725[/C][C]226.68725995175[/C][/ROW]
[ROW][C]0.64[/C][C]17826.1144688334[/C][C]229.285580587599[/C][/ROW]
[ROW][C]0.645[/C][C]17849.1866913038[/C][C]233.834928538893[/C][/ROW]
[ROW][C]0.65[/C][C]17872.8914440246[/C][C]240.3355119193[/C][/ROW]
[ROW][C]0.655[/C][C]17897.3972611170[/C][C]248.745410033681[/C][/ROW]
[ROW][C]0.66[/C][C]17922.8676481616[/C][C]258.939005513660[/C][/ROW]
[ROW][C]0.665[/C][C]17949.4575883479[/C][C]270.767120746232[/C][/ROW]
[ROW][C]0.67[/C][C]17977.3100092986[/C][C]284.037614481546[/C][/ROW]
[ROW][C]0.675[/C][C]18006.5523308634[/C][C]298.544646869187[/C][/ROW]
[ROW][C]0.68[/C][C]18037.2932225231[/C][C]313.995017260228[/C][/ROW]
[ROW][C]0.685[/C][C]18069.6197013283[/C][C]330.118506686183[/C][/ROW]
[ROW][C]0.69[/C][C]18103.5946967884[/C][C]346.619012173230[/C][/ROW]
[ROW][C]0.695[/C][C]18139.2551975078[/C][C]363.1713680928[/C][/ROW]
[ROW][C]0.7[/C][C]18176.6110757719[/C][C]379.478760464357[/C][/ROW]
[ROW][C]0.705[/C][C]18215.6446613276[/C][C]395.259632811839[/C][/ROW]
[ROW][C]0.71[/C][C]18256.3111053611[/C][C]410.187353467633[/C][/ROW]
[ROW][C]0.715[/C][C]18298.5395416317[/C][C]424.031711590124[/C][/ROW]
[ROW][C]0.72[/C][C]18342.2350156793[/C][C]436.521242428449[/C][/ROW]
[ROW][C]0.725[/C][C]18387.2811169777[/C][C]447.468381200401[/C][/ROW]
[ROW][C]0.73[/C][C]18433.5432149193[/C][C]456.742658257569[/C][/ROW]
[ROW][C]0.735[/C][C]18480.8721695768[/C][C]464.198309155311[/C][/ROW]
[ROW][C]0.74[/C][C]18529.1083640811[/C][C]469.773811442096[/C][/ROW]
[ROW][C]0.745[/C][C]18578.0858886809[/C][C]473.45325252569[/C][/ROW]
[ROW][C]0.75[/C][C]18627.6366982354[/C][C]475.259417295483[/C][/ROW]
[ROW][C]0.755[/C][C]18677.5945657804[/C][C]475.263829452622[/C][/ROW]
[ROW][C]0.76[/C][C]18727.7986652391[/C][C]473.547567369151[/C][/ROW]
[ROW][C]0.765[/C][C]18778.0966363042[/C][C]470.272008851415[/C][/ROW]
[ROW][C]0.77[/C][C]18828.3470136448[/C][C]465.569968325173[/C][/ROW]
[ROW][C]0.775[/C][C]18878.4209402382[/C][C]459.616164039713[/C][/ROW]
[ROW][C]0.78[/C][C]18928.2031298667[/C][C]452.606287079532[/C][/ROW]
[ROW][C]0.785[/C][C]18977.5920954275[/C][C]444.711816493024[/C][/ROW]
[ROW][C]0.79[/C][C]19026.4997160909[/C][C]436.065962189532[/C][/ROW]
[ROW][C]0.795[/C][C]19074.8502754995[/C][C]426.858827546374[/C][/ROW]
[ROW][C]0.8[/C][C]19122.5791625017[/C][C]417.170836124477[/C][/ROW]
[ROW][C]0.805[/C][C]19169.6314820537[/C][C]407.152749817522[/C][/ROW]
[ROW][C]0.81[/C][C]19215.9608726927[/C][C]396.8395169559[/C][/ROW]
[ROW][C]0.815[/C][C]19261.5288632172[/C][C]386.283225200634[/C][/ROW]
[ROW][C]0.82[/C][C]19306.3051187335[/C][C]375.540945316441[/C][/ROW]
[ROW][C]0.825[/C][C]19350.2689179621[/C][C]364.608751898112[/C][/ROW]
[ROW][C]0.83[/C][C]19393.4121619632[/C][C]353.528766409396[/C][/ROW]
[ROW][C]0.835[/C][C]19435.7441315286[/C][C]342.360750760522[/C][/ROW]
[ROW][C]0.84[/C][C]19477.2980795978[/C][C]331.166235208698[/C][/ROW]
[ROW][C]0.845[/C][C]19518.1395616916[/C][C]320.107352857275[/C][/ROW]
[ROW][C]0.85[/C][C]19558.3761712344[/C][C]309.390767441994[/C][/ROW]
[ROW][C]0.855[/C][C]19598.1680640376[/C][C]299.334283933102[/C][/ROW]
[ROW][C]0.86[/C][C]19637.7383427749[/C][C]290.355815789170[/C][/ROW]
[ROW][C]0.865[/C][C]19677.3820556369[/C][C]282.985509118899[/C][/ROW]
[ROW][C]0.87[/C][C]19717.4722852335[/C][C]277.871274484812[/C][/ROW]
[ROW][C]0.875[/C][C]19758.4616205445[/C][C]275.719904343174[/C][/ROW]
[ROW][C]0.88[/C][C]19800.8772849754[/C][C]277.245859428478[/C][/ROW]
[ROW][C]0.885[/C][C]19845.3084123849[/C][C]283.05015325266[/C][/ROW]
[ROW][C]0.89[/C][C]19892.3844910349[/C][C]293.481021238033[/C][/ROW]
[ROW][C]0.895[/C][C]19942.7448841553[/C][C]308.566211784872[/C][/ROW]
[ROW][C]0.9[/C][C]19997.0005994043[/C][C]327.866548183979[/C][/ROW]
[ROW][C]0.905[/C][C]20055.6910776819[/C][C]350.488592071886[/C][/ROW]
[ROW][C]0.91[/C][C]20119.2405975969[/C][C]375.152845995686[/C][/ROW]
[ROW][C]0.915[/C][C]20187.9207685398[/C][C]400.252058955546[/C][/ROW]
[ROW][C]0.92[/C][C]20261.8272704179[/C][C]423.985364026258[/C][/ROW]
[ROW][C]0.925[/C][C]20340.8801846353[/C][C]444.537597841396[/C][/ROW]
[ROW][C]0.93[/C][C]20424.857546922[/C][C]460.244610310427[/C][/ROW]
[ROW][C]0.935[/C][C]20513.4705388951[/C][C]469.879038967253[/C][/ROW]
[ROW][C]0.94[/C][C]20606.4850154143[/C][C]472.823221745597[/C][/ROW]
[ROW][C]0.945[/C][C]20703.8861348821[/C][C]469.366713445271[/C][/ROW]
[ROW][C]0.95[/C][C]20806.0681380847[/C][C]460.86500346102[/C][/ROW]
[ROW][C]0.955[/C][C]20914.0067687481[/C][C]449.915799471021[/C][/ROW]
[ROW][C]0.96[/C][C]21029.3358279199[/C][C]440.44377228276[/C][/ROW]
[ROW][C]0.965[/C][C]21154.2060674091[/C][C]437.675727352791[/C][/ROW]
[ROW][C]0.97[/C][C]21290.7711731714[/C][C]447.648919276504[/C][/ROW]
[ROW][C]0.975[/C][C]21440.1598747202[/C][C]475.826870929655[/C][/ROW]
[ROW][C]0.98[/C][C]21600.9152309097[/C][C]524.826302882525[/C][/ROW]
[ROW][C]0.985[/C][C]21767.1749297377[/C][C]592.19139427477[/C][/ROW]
[ROW][C]0.99[/C][C]21927.3400846777[/C][C]669.484653671094[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30249&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30249&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
0.0111930.7823013219623.570103495342
0.01512118.7018620978771.323104833545
0.0212339.5125426436879.248765059981
0.02512577.7913970623930.137107516572
0.0312819.2901896671925.517785517698
0.03513052.5835638030878.230451034204
0.0413269.7366723131805.157396705067
0.04513466.2350825064722.09107745653
0.0513640.4485522263640.915543645084
0.05513792.8769795492568.863663998513
0.0613925.3727793999508.92365443902
0.06514040.4667233450461.048806020318
0.0714140.8594278499423.403372977687
0.07514229.0892354494393.522459468307
0.0814307.3540628432369.034018649185
0.08514377.4491519663348.045029934763
0.0914440.7803534704329.200681952795
0.09514498.4183044863311.652137068552
0.114551.1679663187294.927739235714
0.10514599.6372224805278.820873997831
0.1114644.2958585244263.290735863311
0.11514685.5216680699248.416307153797
0.1214723.6337812949234.310504573803
0.12514758.9150444611221.087876334125
0.1314791.6259083019208.852891695703
0.13514822.0122550809197.688748555638
0.1414850.3092366589187.632590228252
0.14514876.7427222554178.718535021880
0.1514901.5294878542170.959608671027
0.15514924.8768802555164.353866764151
0.1614946.9823796184158.896718789028
0.16514968.0332648482154.581815624627
0.1714988.206444968151.377456815540
0.17515007.6684405736149.249501705669
0.1815026.5754656973148.215153800780
0.18515045.0735563316148.218036020052
0.1915063.2987044265149.206133637333
0.19515081.3769753335151.135070506327
0.215099.4246054453153.954276751638
0.20515117.5480909778157.572205555090
0.2115135.8442866321161.942150005836
0.21515154.4005341918166.962383141456
0.2215173.2948371111172.585777728913
0.22515192.5960896578178.717079202072
0.2315212.3643602498185.312860979815
0.23515232.6512201742192.283893162322
0.2415253.5001024766199.593420532712
0.24515274.9466724515207.149253085258
0.2515297.0191913309214.941313545453
0.25515319.7388583177222.893591469291
0.2615343.1201224530230.936768681808
0.26515367.1709639753239.049887040037
0.2715391.8931536390247.150680197575
0.27515417.2825066759255.185541809956
0.2815443.3291545574263.094502578576
0.28515470.0178615359270.832820968323
0.2915497.3284135195278.332906440373
0.29515525.2361039442285.513875531381
0.315553.7123351487292.364192815252
0.30515582.7253448536298.823927864835
0.3115612.2410565400304.877651263028
0.31515642.2240408224310.516541134979
0.3215672.6385634332315.696948163007
0.32515703.4496852226320.494616309531
0.3315734.6243715764324.886700427378
0.33515766.1325635472328.92661252988
0.3415797.9481612068332.692251369473
0.34515830.0498713863336.219080923293
0.3515862.4218768821339.622136038315
0.35515895.0542919480342.936535449744
0.3615927.9433788241346.268380602143
0.36515961.0915113974349.703351481974
0.3715994.5068840392353.304418936037
0.37516028.2029754059357.130675324584
0.3816062.1977878102361.227801575169
0.38516096.5128920884365.643266171703
0.3916131.1723152712370.382057887597
0.39516166.2013135760375.446529002487
0.416201.6250761870380.848137088498
0.40516237.4674060631386.514122043629
0.4116273.7494227901392.448230474094
0.41516310.4883295700398.553999512894
0.4216347.6962821390404.751814646071
0.42516385.3793920775411.000112021227
0.4316423.5368909682417.144386273864
0.43516462.1604754660423.161468304029
0.4416501.2338468498428.918419927054
0.44516540.7324522378434.2837582304
0.4516580.6234285464439.184107915604
0.45516620.8657445896443.546238776126
0.4616661.4105315618447.259501046917
0.46516702.2015876028450.226220771283
0.4716743.1760382861452.432621108159
0.47516784.2651317677453.730886633458
0.4816825.3951450430454.16850710401
0.48516866.4883763351453.62158994757
0.4916907.4641981268452.103999099376
0.49516948.2401457685449.572963499336
0.516988.7330179350446.095877855857
0.50517028.8599674293441.627944574803
0.5117068.5395638443436.223160996561
0.51517107.6928132672429.888529179283
0.5217146.2441243584422.707611261204
0.52517184.1222145391414.700673729438
0.5317221.2609544183405.981533640244
0.53517257.6001527095396.591260425324
0.5417293.0862874448386.579941821579
0.54517327.6731920215376.050446751935
0.5517361.322706279365.134078582460
0.55517394.0053032075353.860007163867
0.5617425.7007009127342.37269799382
0.56517456.3984670478330.749226545135
0.5717486.0986191136319.124110791658
0.57517514.8122189434307.575566995481
0.5817542.5619535496296.220281970997
0.58517569.3826876204285.241652955223
0.5917595.3219657031274.733000564950
0.59517620.4404349636264.852994612329
0.617644.8121528714255.715037461786
0.60517668.5247387813247.507320760603
0.6117691.6793247189240.377932508442
0.61517714.3902592543234.514451117561
0.6217736.7845196416230.059615553546
0.62517759.0007917767227.180717888198
0.6317781.1881852175226.015903505935
0.63517803.5045615725226.68725995175
0.6417826.1144688334229.285580587599
0.64517849.1866913038233.834928538893
0.6517872.8914440246240.3355119193
0.65517897.3972611170248.745410033681
0.6617922.8676481616258.939005513660
0.66517949.4575883479270.767120746232
0.6717977.3100092986284.037614481546
0.67518006.5523308634298.544646869187
0.6818037.2932225231313.995017260228
0.68518069.6197013283330.118506686183
0.6918103.5946967884346.619012173230
0.69518139.2551975078363.1713680928
0.718176.6110757719379.478760464357
0.70518215.6446613276395.259632811839
0.7118256.3111053611410.187353467633
0.71518298.5395416317424.031711590124
0.7218342.2350156793436.521242428449
0.72518387.2811169777447.468381200401
0.7318433.5432149193456.742658257569
0.73518480.8721695768464.198309155311
0.7418529.1083640811469.773811442096
0.74518578.0858886809473.45325252569
0.7518627.6366982354475.259417295483
0.75518677.5945657804475.263829452622
0.7618727.7986652391473.547567369151
0.76518778.0966363042470.272008851415
0.7718828.3470136448465.569968325173
0.77518878.4209402382459.616164039713
0.7818928.2031298667452.606287079532
0.78518977.5920954275444.711816493024
0.7919026.4997160909436.065962189532
0.79519074.8502754995426.858827546374
0.819122.5791625017417.170836124477
0.80519169.6314820537407.152749817522
0.8119215.9608726927396.8395169559
0.81519261.5288632172386.283225200634
0.8219306.3051187335375.540945316441
0.82519350.2689179621364.608751898112
0.8319393.4121619632353.528766409396
0.83519435.7441315286342.360750760522
0.8419477.2980795978331.166235208698
0.84519518.1395616916320.107352857275
0.8519558.3761712344309.390767441994
0.85519598.1680640376299.334283933102
0.8619637.7383427749290.355815789170
0.86519677.3820556369282.985509118899
0.8719717.4722852335277.871274484812
0.87519758.4616205445275.719904343174
0.8819800.8772849754277.245859428478
0.88519845.3084123849283.05015325266
0.8919892.3844910349293.481021238033
0.89519942.7448841553308.566211784872
0.919997.0005994043327.866548183979
0.90520055.6910776819350.488592071886
0.9120119.2405975969375.152845995686
0.91520187.9207685398400.252058955546
0.9220261.8272704179423.985364026258
0.92520340.8801846353444.537597841396
0.9320424.857546922460.244610310427
0.93520513.4705388951469.879038967253
0.9420606.4850154143472.823221745597
0.94520703.8861348821469.366713445271
0.9520806.0681380847460.86500346102
0.95520914.0067687481449.915799471021
0.9621029.3358279199440.44377228276
0.96521154.2060674091437.675727352791
0.9721290.7711731714447.648919276504
0.97521440.1598747202475.826870929655
0.9821600.9152309097524.826302882525
0.98521767.1749297377592.19139427477
0.9921927.3400846777669.484653671094



Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
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')