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 computationFri, 12 Aug 2016 01:19:30 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Aug/12/t1470961215gn7nrjncsz9waf7.htm/, Retrieved Sun, 05 May 2024 18:59:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296392, Retrieved Sun, 05 May 2024 18:59:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [omzet lego technique] [2016-08-08 19:25:41] [74be16979710d4c4e7c6647856088456]
- RMPD  [Harrell-Davis Quantiles] [Harrel-Davis quan...] [2016-08-08 22:07:37] [4c392b130fccc63297597dd6ffb6df17]
- R P     [Harrell-Davis Quantiles] [Harrel-Davis perc...] [2016-08-11 23:26:17] [4c392b130fccc63297597dd6ffb6df17]
- R PD        [Harrell-Davis Quantiles] [Harrel-Davis perc...] [2016-08-12 00:19:30] [d7adcc7732e5b057da1b42af54844e1a] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2421.21
2378.63
2336.00
2250.79
3113.00
3070.38
2421.21
1990.13
2032.71
2032.71
2075.33
2165.17
1904.92
1644.25
1430.79
1430.79
2250.79
2336.00
1686.83
952.46
1340.96
1340.96
1644.25
1819.29
1776.67
1340.96
1559.04
1473.42
2207.79
2032.71
1340.96
824.25
1298.33
1430.79
1559.04
1729.46
1383.54
1084.92
1213.17
1255.75
2378.63
2378.63
1729.46
1644.25
1904.92
1776.67
2122.58
2553.67
2639.29
2032.71
1861.88
1686.83
2856.96
2942.58
2724.50
2942.58
2899.54
2553.67
2942.58
3373.67
3548.71
3027.79
2681.88
2942.58
4065.42
4411.33
4326.13
4496.50
4453.92
4022.83
4757.21
4932.25
5188.29
4411.33
4108.04
4453.92
5278.13
6012.50
5837.46
5837.46
5923.08
5624.00
6401.42
6401.42
6268.96
5534.17
5666.63
5752.25
6315.79
7050.17
6529.21
6789.92
6571.83
6444.00
7439.08
7221.00
6917.71
6486.63
6917.71
7135.79
7396.04
7741.92
7396.04
7609.50
7349.21
7306.63
8386.88
8476.71
8130.83
7524.29
8041.00
8258.67
8519.33
8907.83
8519.33
8822.63
8690.17
8216.04
9211.08
9211.08

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296392&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296392&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296392&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 time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01917.506366041477133.700111843552
0.021047.38305242469137.944444151369
0.031156.0569321712116.929762903591
0.041233.3505053808887.7318795786582
0.051285.2958349304565.0430483862738
0.061321.1292540655853.2467464736778
0.071348.9789346283552.4508712024918
0.081374.6461695561659.6819118518661
0.091401.5815724182970.7665832036846
0.11431.2922671019682.6060971367707
0.111463.9197889859593.1246122703521
0.121498.77843314851100.806262494231
0.131534.77225891939104.793675169151
0.141570.74457613508105.268700030358
0.151605.79243704284103.498142061243
0.161639.48770014216101.360194807471
0.171671.92841753384100.604535929259
0.181703.61390868305102.220496852483
0.191735.21597292309106.232406413622
0.21767.34648918388111.915213770329
0.211800.39711785097118.201636885206
0.221834.48167928319124.05598418932
0.231869.47293724796128.776238346194
0.241905.10194287034132.123786516236
0.251941.07814714849134.339587477695
0.261977.18973000294135.986722176707
0.272013.3553222279137.703466579935
0.282049.61842992804139.946317789003
0.292086.09828398895142.827003751034
0.32122.92678751906146.157725193713
0.312160.20387517077149.63504323757
0.322197.99201869474153.067602192931
0.332236.35052101553156.586478152407
0.342275.39099931226160.624625854137
0.352315.32548432461165.847048380544
0.362356.48170326418172.857210649945
0.372399.2745361161181.957731633363
0.382444.1422067072193.04213205298
0.392491.47277537057205.595717204721
0.42541.55440238915218.949294368382
0.412594.57824153731232.605434679424
0.422650.70628046221246.587834599194
0.432710.19239238872261.658524279746
0.442773.52058490592279.327576806484
0.452841.50835820434301.552197040404
0.462915.3224724591330.12027621363
0.472996.37274490906365.888960275621
0.483086.08428653959408.230794207553
0.493185.59078987811454.789953164954
0.53295.42720886194501.866970396582
0.513415.31500934011545.145036627069
0.523544.1178373832580.645807661816
0.533680.00064684294605.706620876544
0.543820.76326434365619.601147005948
0.553964.26067777835623.765570460639
0.564108.7888749362621.297733561542
0.574253.32127140337616.063349458533
0.584397.52713834726611.457092043627
0.594541.57512995386609.305418544177
0.64685.79666250537609.388863907683
0.614830.32910008827609.719613991618
0.624974.86045298387607.419285720265
0.635118.55518059492599.862224989174
0.645260.17157352128585.57313091116
0.655398.31271066071564.604858088405
0.665531.71221457692538.406461668463
0.675659.45786325734509.194392493075
0.685781.09659586913479.290056660946
0.695896.62236303286450.543744876886
0.76006.39500243641424.080928322696
0.716111.05184029584400.598418747174
0.726211.45001889392380.644118226882
0.736308.63319681076364.889571220185
0.746403.77976064644353.928679276964
0.756498.0854406885347.793809230735
0.766592.56701959783345.491685417685
0.776687.82876646678344.878463987118
0.786783.87932829189343.192894859854
0.796880.09828291751337.868258842388
0.86975.42017797956327.456294239436
0.817068.7395892112312.326481363881
0.827159.46125874211294.878566128496
0.837248.04077228004279.406321616407
0.847336.30086245461271.067380668258
0.857427.29815904594274.05179544377
0.867524.60441071659288.90228654439
0.877631.08935759367310.971359119172
0.887747.60251935896331.49484173323
0.897872.1757662753340.959770580143
0.98000.2845815805333.112532434802
0.918126.25682204705307.742644278114
0.928245.37763483385270.70595960208
0.938355.99530725358231.784365123213
0.948460.97837494042202.009663505517
0.958567.91174879395190.054701969215
0.968687.71510986522195.733320692928
0.978831.08194836508210.841124959924
0.988996.45465738546215.592428724689
0.999144.59503092551142.019574187925

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 917.506366041477 & 133.700111843552 \tabularnewline
0.02 & 1047.38305242469 & 137.944444151369 \tabularnewline
0.03 & 1156.0569321712 & 116.929762903591 \tabularnewline
0.04 & 1233.35050538088 & 87.7318795786582 \tabularnewline
0.05 & 1285.29583493045 & 65.0430483862738 \tabularnewline
0.06 & 1321.12925406558 & 53.2467464736778 \tabularnewline
0.07 & 1348.97893462835 & 52.4508712024918 \tabularnewline
0.08 & 1374.64616955616 & 59.6819118518661 \tabularnewline
0.09 & 1401.58157241829 & 70.7665832036846 \tabularnewline
0.1 & 1431.29226710196 & 82.6060971367707 \tabularnewline
0.11 & 1463.91978898595 & 93.1246122703521 \tabularnewline
0.12 & 1498.77843314851 & 100.806262494231 \tabularnewline
0.13 & 1534.77225891939 & 104.793675169151 \tabularnewline
0.14 & 1570.74457613508 & 105.268700030358 \tabularnewline
0.15 & 1605.79243704284 & 103.498142061243 \tabularnewline
0.16 & 1639.48770014216 & 101.360194807471 \tabularnewline
0.17 & 1671.92841753384 & 100.604535929259 \tabularnewline
0.18 & 1703.61390868305 & 102.220496852483 \tabularnewline
0.19 & 1735.21597292309 & 106.232406413622 \tabularnewline
0.2 & 1767.34648918388 & 111.915213770329 \tabularnewline
0.21 & 1800.39711785097 & 118.201636885206 \tabularnewline
0.22 & 1834.48167928319 & 124.05598418932 \tabularnewline
0.23 & 1869.47293724796 & 128.776238346194 \tabularnewline
0.24 & 1905.10194287034 & 132.123786516236 \tabularnewline
0.25 & 1941.07814714849 & 134.339587477695 \tabularnewline
0.26 & 1977.18973000294 & 135.986722176707 \tabularnewline
0.27 & 2013.3553222279 & 137.703466579935 \tabularnewline
0.28 & 2049.61842992804 & 139.946317789003 \tabularnewline
0.29 & 2086.09828398895 & 142.827003751034 \tabularnewline
0.3 & 2122.92678751906 & 146.157725193713 \tabularnewline
0.31 & 2160.20387517077 & 149.63504323757 \tabularnewline
0.32 & 2197.99201869474 & 153.067602192931 \tabularnewline
0.33 & 2236.35052101553 & 156.586478152407 \tabularnewline
0.34 & 2275.39099931226 & 160.624625854137 \tabularnewline
0.35 & 2315.32548432461 & 165.847048380544 \tabularnewline
0.36 & 2356.48170326418 & 172.857210649945 \tabularnewline
0.37 & 2399.2745361161 & 181.957731633363 \tabularnewline
0.38 & 2444.1422067072 & 193.04213205298 \tabularnewline
0.39 & 2491.47277537057 & 205.595717204721 \tabularnewline
0.4 & 2541.55440238915 & 218.949294368382 \tabularnewline
0.41 & 2594.57824153731 & 232.605434679424 \tabularnewline
0.42 & 2650.70628046221 & 246.587834599194 \tabularnewline
0.43 & 2710.19239238872 & 261.658524279746 \tabularnewline
0.44 & 2773.52058490592 & 279.327576806484 \tabularnewline
0.45 & 2841.50835820434 & 301.552197040404 \tabularnewline
0.46 & 2915.3224724591 & 330.12027621363 \tabularnewline
0.47 & 2996.37274490906 & 365.888960275621 \tabularnewline
0.48 & 3086.08428653959 & 408.230794207553 \tabularnewline
0.49 & 3185.59078987811 & 454.789953164954 \tabularnewline
0.5 & 3295.42720886194 & 501.866970396582 \tabularnewline
0.51 & 3415.31500934011 & 545.145036627069 \tabularnewline
0.52 & 3544.1178373832 & 580.645807661816 \tabularnewline
0.53 & 3680.00064684294 & 605.706620876544 \tabularnewline
0.54 & 3820.76326434365 & 619.601147005948 \tabularnewline
0.55 & 3964.26067777835 & 623.765570460639 \tabularnewline
0.56 & 4108.7888749362 & 621.297733561542 \tabularnewline
0.57 & 4253.32127140337 & 616.063349458533 \tabularnewline
0.58 & 4397.52713834726 & 611.457092043627 \tabularnewline
0.59 & 4541.57512995386 & 609.305418544177 \tabularnewline
0.6 & 4685.79666250537 & 609.388863907683 \tabularnewline
0.61 & 4830.32910008827 & 609.719613991618 \tabularnewline
0.62 & 4974.86045298387 & 607.419285720265 \tabularnewline
0.63 & 5118.55518059492 & 599.862224989174 \tabularnewline
0.64 & 5260.17157352128 & 585.57313091116 \tabularnewline
0.65 & 5398.31271066071 & 564.604858088405 \tabularnewline
0.66 & 5531.71221457692 & 538.406461668463 \tabularnewline
0.67 & 5659.45786325734 & 509.194392493075 \tabularnewline
0.68 & 5781.09659586913 & 479.290056660946 \tabularnewline
0.69 & 5896.62236303286 & 450.543744876886 \tabularnewline
0.7 & 6006.39500243641 & 424.080928322696 \tabularnewline
0.71 & 6111.05184029584 & 400.598418747174 \tabularnewline
0.72 & 6211.45001889392 & 380.644118226882 \tabularnewline
0.73 & 6308.63319681076 & 364.889571220185 \tabularnewline
0.74 & 6403.77976064644 & 353.928679276964 \tabularnewline
0.75 & 6498.0854406885 & 347.793809230735 \tabularnewline
0.76 & 6592.56701959783 & 345.491685417685 \tabularnewline
0.77 & 6687.82876646678 & 344.878463987118 \tabularnewline
0.78 & 6783.87932829189 & 343.192894859854 \tabularnewline
0.79 & 6880.09828291751 & 337.868258842388 \tabularnewline
0.8 & 6975.42017797956 & 327.456294239436 \tabularnewline
0.81 & 7068.7395892112 & 312.326481363881 \tabularnewline
0.82 & 7159.46125874211 & 294.878566128496 \tabularnewline
0.83 & 7248.04077228004 & 279.406321616407 \tabularnewline
0.84 & 7336.30086245461 & 271.067380668258 \tabularnewline
0.85 & 7427.29815904594 & 274.05179544377 \tabularnewline
0.86 & 7524.60441071659 & 288.90228654439 \tabularnewline
0.87 & 7631.08935759367 & 310.971359119172 \tabularnewline
0.88 & 7747.60251935896 & 331.49484173323 \tabularnewline
0.89 & 7872.1757662753 & 340.959770580143 \tabularnewline
0.9 & 8000.2845815805 & 333.112532434802 \tabularnewline
0.91 & 8126.25682204705 & 307.742644278114 \tabularnewline
0.92 & 8245.37763483385 & 270.70595960208 \tabularnewline
0.93 & 8355.99530725358 & 231.784365123213 \tabularnewline
0.94 & 8460.97837494042 & 202.009663505517 \tabularnewline
0.95 & 8567.91174879395 & 190.054701969215 \tabularnewline
0.96 & 8687.71510986522 & 195.733320692928 \tabularnewline
0.97 & 8831.08194836508 & 210.841124959924 \tabularnewline
0.98 & 8996.45465738546 & 215.592428724689 \tabularnewline
0.99 & 9144.59503092551 & 142.019574187925 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296392&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]917.506366041477[/C][C]133.700111843552[/C][/ROW]
[ROW][C]0.02[/C][C]1047.38305242469[/C][C]137.944444151369[/C][/ROW]
[ROW][C]0.03[/C][C]1156.0569321712[/C][C]116.929762903591[/C][/ROW]
[ROW][C]0.04[/C][C]1233.35050538088[/C][C]87.7318795786582[/C][/ROW]
[ROW][C]0.05[/C][C]1285.29583493045[/C][C]65.0430483862738[/C][/ROW]
[ROW][C]0.06[/C][C]1321.12925406558[/C][C]53.2467464736778[/C][/ROW]
[ROW][C]0.07[/C][C]1348.97893462835[/C][C]52.4508712024918[/C][/ROW]
[ROW][C]0.08[/C][C]1374.64616955616[/C][C]59.6819118518661[/C][/ROW]
[ROW][C]0.09[/C][C]1401.58157241829[/C][C]70.7665832036846[/C][/ROW]
[ROW][C]0.1[/C][C]1431.29226710196[/C][C]82.6060971367707[/C][/ROW]
[ROW][C]0.11[/C][C]1463.91978898595[/C][C]93.1246122703521[/C][/ROW]
[ROW][C]0.12[/C][C]1498.77843314851[/C][C]100.806262494231[/C][/ROW]
[ROW][C]0.13[/C][C]1534.77225891939[/C][C]104.793675169151[/C][/ROW]
[ROW][C]0.14[/C][C]1570.74457613508[/C][C]105.268700030358[/C][/ROW]
[ROW][C]0.15[/C][C]1605.79243704284[/C][C]103.498142061243[/C][/ROW]
[ROW][C]0.16[/C][C]1639.48770014216[/C][C]101.360194807471[/C][/ROW]
[ROW][C]0.17[/C][C]1671.92841753384[/C][C]100.604535929259[/C][/ROW]
[ROW][C]0.18[/C][C]1703.61390868305[/C][C]102.220496852483[/C][/ROW]
[ROW][C]0.19[/C][C]1735.21597292309[/C][C]106.232406413622[/C][/ROW]
[ROW][C]0.2[/C][C]1767.34648918388[/C][C]111.915213770329[/C][/ROW]
[ROW][C]0.21[/C][C]1800.39711785097[/C][C]118.201636885206[/C][/ROW]
[ROW][C]0.22[/C][C]1834.48167928319[/C][C]124.05598418932[/C][/ROW]
[ROW][C]0.23[/C][C]1869.47293724796[/C][C]128.776238346194[/C][/ROW]
[ROW][C]0.24[/C][C]1905.10194287034[/C][C]132.123786516236[/C][/ROW]
[ROW][C]0.25[/C][C]1941.07814714849[/C][C]134.339587477695[/C][/ROW]
[ROW][C]0.26[/C][C]1977.18973000294[/C][C]135.986722176707[/C][/ROW]
[ROW][C]0.27[/C][C]2013.3553222279[/C][C]137.703466579935[/C][/ROW]
[ROW][C]0.28[/C][C]2049.61842992804[/C][C]139.946317789003[/C][/ROW]
[ROW][C]0.29[/C][C]2086.09828398895[/C][C]142.827003751034[/C][/ROW]
[ROW][C]0.3[/C][C]2122.92678751906[/C][C]146.157725193713[/C][/ROW]
[ROW][C]0.31[/C][C]2160.20387517077[/C][C]149.63504323757[/C][/ROW]
[ROW][C]0.32[/C][C]2197.99201869474[/C][C]153.067602192931[/C][/ROW]
[ROW][C]0.33[/C][C]2236.35052101553[/C][C]156.586478152407[/C][/ROW]
[ROW][C]0.34[/C][C]2275.39099931226[/C][C]160.624625854137[/C][/ROW]
[ROW][C]0.35[/C][C]2315.32548432461[/C][C]165.847048380544[/C][/ROW]
[ROW][C]0.36[/C][C]2356.48170326418[/C][C]172.857210649945[/C][/ROW]
[ROW][C]0.37[/C][C]2399.2745361161[/C][C]181.957731633363[/C][/ROW]
[ROW][C]0.38[/C][C]2444.1422067072[/C][C]193.04213205298[/C][/ROW]
[ROW][C]0.39[/C][C]2491.47277537057[/C][C]205.595717204721[/C][/ROW]
[ROW][C]0.4[/C][C]2541.55440238915[/C][C]218.949294368382[/C][/ROW]
[ROW][C]0.41[/C][C]2594.57824153731[/C][C]232.605434679424[/C][/ROW]
[ROW][C]0.42[/C][C]2650.70628046221[/C][C]246.587834599194[/C][/ROW]
[ROW][C]0.43[/C][C]2710.19239238872[/C][C]261.658524279746[/C][/ROW]
[ROW][C]0.44[/C][C]2773.52058490592[/C][C]279.327576806484[/C][/ROW]
[ROW][C]0.45[/C][C]2841.50835820434[/C][C]301.552197040404[/C][/ROW]
[ROW][C]0.46[/C][C]2915.3224724591[/C][C]330.12027621363[/C][/ROW]
[ROW][C]0.47[/C][C]2996.37274490906[/C][C]365.888960275621[/C][/ROW]
[ROW][C]0.48[/C][C]3086.08428653959[/C][C]408.230794207553[/C][/ROW]
[ROW][C]0.49[/C][C]3185.59078987811[/C][C]454.789953164954[/C][/ROW]
[ROW][C]0.5[/C][C]3295.42720886194[/C][C]501.866970396582[/C][/ROW]
[ROW][C]0.51[/C][C]3415.31500934011[/C][C]545.145036627069[/C][/ROW]
[ROW][C]0.52[/C][C]3544.1178373832[/C][C]580.645807661816[/C][/ROW]
[ROW][C]0.53[/C][C]3680.00064684294[/C][C]605.706620876544[/C][/ROW]
[ROW][C]0.54[/C][C]3820.76326434365[/C][C]619.601147005948[/C][/ROW]
[ROW][C]0.55[/C][C]3964.26067777835[/C][C]623.765570460639[/C][/ROW]
[ROW][C]0.56[/C][C]4108.7888749362[/C][C]621.297733561542[/C][/ROW]
[ROW][C]0.57[/C][C]4253.32127140337[/C][C]616.063349458533[/C][/ROW]
[ROW][C]0.58[/C][C]4397.52713834726[/C][C]611.457092043627[/C][/ROW]
[ROW][C]0.59[/C][C]4541.57512995386[/C][C]609.305418544177[/C][/ROW]
[ROW][C]0.6[/C][C]4685.79666250537[/C][C]609.388863907683[/C][/ROW]
[ROW][C]0.61[/C][C]4830.32910008827[/C][C]609.719613991618[/C][/ROW]
[ROW][C]0.62[/C][C]4974.86045298387[/C][C]607.419285720265[/C][/ROW]
[ROW][C]0.63[/C][C]5118.55518059492[/C][C]599.862224989174[/C][/ROW]
[ROW][C]0.64[/C][C]5260.17157352128[/C][C]585.57313091116[/C][/ROW]
[ROW][C]0.65[/C][C]5398.31271066071[/C][C]564.604858088405[/C][/ROW]
[ROW][C]0.66[/C][C]5531.71221457692[/C][C]538.406461668463[/C][/ROW]
[ROW][C]0.67[/C][C]5659.45786325734[/C][C]509.194392493075[/C][/ROW]
[ROW][C]0.68[/C][C]5781.09659586913[/C][C]479.290056660946[/C][/ROW]
[ROW][C]0.69[/C][C]5896.62236303286[/C][C]450.543744876886[/C][/ROW]
[ROW][C]0.7[/C][C]6006.39500243641[/C][C]424.080928322696[/C][/ROW]
[ROW][C]0.71[/C][C]6111.05184029584[/C][C]400.598418747174[/C][/ROW]
[ROW][C]0.72[/C][C]6211.45001889392[/C][C]380.644118226882[/C][/ROW]
[ROW][C]0.73[/C][C]6308.63319681076[/C][C]364.889571220185[/C][/ROW]
[ROW][C]0.74[/C][C]6403.77976064644[/C][C]353.928679276964[/C][/ROW]
[ROW][C]0.75[/C][C]6498.0854406885[/C][C]347.793809230735[/C][/ROW]
[ROW][C]0.76[/C][C]6592.56701959783[/C][C]345.491685417685[/C][/ROW]
[ROW][C]0.77[/C][C]6687.82876646678[/C][C]344.878463987118[/C][/ROW]
[ROW][C]0.78[/C][C]6783.87932829189[/C][C]343.192894859854[/C][/ROW]
[ROW][C]0.79[/C][C]6880.09828291751[/C][C]337.868258842388[/C][/ROW]
[ROW][C]0.8[/C][C]6975.42017797956[/C][C]327.456294239436[/C][/ROW]
[ROW][C]0.81[/C][C]7068.7395892112[/C][C]312.326481363881[/C][/ROW]
[ROW][C]0.82[/C][C]7159.46125874211[/C][C]294.878566128496[/C][/ROW]
[ROW][C]0.83[/C][C]7248.04077228004[/C][C]279.406321616407[/C][/ROW]
[ROW][C]0.84[/C][C]7336.30086245461[/C][C]271.067380668258[/C][/ROW]
[ROW][C]0.85[/C][C]7427.29815904594[/C][C]274.05179544377[/C][/ROW]
[ROW][C]0.86[/C][C]7524.60441071659[/C][C]288.90228654439[/C][/ROW]
[ROW][C]0.87[/C][C]7631.08935759367[/C][C]310.971359119172[/C][/ROW]
[ROW][C]0.88[/C][C]7747.60251935896[/C][C]331.49484173323[/C][/ROW]
[ROW][C]0.89[/C][C]7872.1757662753[/C][C]340.959770580143[/C][/ROW]
[ROW][C]0.9[/C][C]8000.2845815805[/C][C]333.112532434802[/C][/ROW]
[ROW][C]0.91[/C][C]8126.25682204705[/C][C]307.742644278114[/C][/ROW]
[ROW][C]0.92[/C][C]8245.37763483385[/C][C]270.70595960208[/C][/ROW]
[ROW][C]0.93[/C][C]8355.99530725358[/C][C]231.784365123213[/C][/ROW]
[ROW][C]0.94[/C][C]8460.97837494042[/C][C]202.009663505517[/C][/ROW]
[ROW][C]0.95[/C][C]8567.91174879395[/C][C]190.054701969215[/C][/ROW]
[ROW][C]0.96[/C][C]8687.71510986522[/C][C]195.733320692928[/C][/ROW]
[ROW][C]0.97[/C][C]8831.08194836508[/C][C]210.841124959924[/C][/ROW]
[ROW][C]0.98[/C][C]8996.45465738546[/C][C]215.592428724689[/C][/ROW]
[ROW][C]0.99[/C][C]9144.59503092551[/C][C]142.019574187925[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296392&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296392&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
0.01917.506366041477133.700111843552
0.021047.38305242469137.944444151369
0.031156.0569321712116.929762903591
0.041233.3505053808887.7318795786582
0.051285.2958349304565.0430483862738
0.061321.1292540655853.2467464736778
0.071348.9789346283552.4508712024918
0.081374.6461695561659.6819118518661
0.091401.5815724182970.7665832036846
0.11431.2922671019682.6060971367707
0.111463.9197889859593.1246122703521
0.121498.77843314851100.806262494231
0.131534.77225891939104.793675169151
0.141570.74457613508105.268700030358
0.151605.79243704284103.498142061243
0.161639.48770014216101.360194807471
0.171671.92841753384100.604535929259
0.181703.61390868305102.220496852483
0.191735.21597292309106.232406413622
0.21767.34648918388111.915213770329
0.211800.39711785097118.201636885206
0.221834.48167928319124.05598418932
0.231869.47293724796128.776238346194
0.241905.10194287034132.123786516236
0.251941.07814714849134.339587477695
0.261977.18973000294135.986722176707
0.272013.3553222279137.703466579935
0.282049.61842992804139.946317789003
0.292086.09828398895142.827003751034
0.32122.92678751906146.157725193713
0.312160.20387517077149.63504323757
0.322197.99201869474153.067602192931
0.332236.35052101553156.586478152407
0.342275.39099931226160.624625854137
0.352315.32548432461165.847048380544
0.362356.48170326418172.857210649945
0.372399.2745361161181.957731633363
0.382444.1422067072193.04213205298
0.392491.47277537057205.595717204721
0.42541.55440238915218.949294368382
0.412594.57824153731232.605434679424
0.422650.70628046221246.587834599194
0.432710.19239238872261.658524279746
0.442773.52058490592279.327576806484
0.452841.50835820434301.552197040404
0.462915.3224724591330.12027621363
0.472996.37274490906365.888960275621
0.483086.08428653959408.230794207553
0.493185.59078987811454.789953164954
0.53295.42720886194501.866970396582
0.513415.31500934011545.145036627069
0.523544.1178373832580.645807661816
0.533680.00064684294605.706620876544
0.543820.76326434365619.601147005948
0.553964.26067777835623.765570460639
0.564108.7888749362621.297733561542
0.574253.32127140337616.063349458533
0.584397.52713834726611.457092043627
0.594541.57512995386609.305418544177
0.64685.79666250537609.388863907683
0.614830.32910008827609.719613991618
0.624974.86045298387607.419285720265
0.635118.55518059492599.862224989174
0.645260.17157352128585.57313091116
0.655398.31271066071564.604858088405
0.665531.71221457692538.406461668463
0.675659.45786325734509.194392493075
0.685781.09659586913479.290056660946
0.695896.62236303286450.543744876886
0.76006.39500243641424.080928322696
0.716111.05184029584400.598418747174
0.726211.45001889392380.644118226882
0.736308.63319681076364.889571220185
0.746403.77976064644353.928679276964
0.756498.0854406885347.793809230735
0.766592.56701959783345.491685417685
0.776687.82876646678344.878463987118
0.786783.87932829189343.192894859854
0.796880.09828291751337.868258842388
0.86975.42017797956327.456294239436
0.817068.7395892112312.326481363881
0.827159.46125874211294.878566128496
0.837248.04077228004279.406321616407
0.847336.30086245461271.067380668258
0.857427.29815904594274.05179544377
0.867524.60441071659288.90228654439
0.877631.08935759367310.971359119172
0.887747.60251935896331.49484173323
0.897872.1757662753340.959770580143
0.98000.2845815805333.112532434802
0.918126.25682204705307.742644278114
0.928245.37763483385270.70595960208
0.938355.99530725358231.784365123213
0.948460.97837494042202.009663505517
0.958567.91174879395190.054701969215
0.968687.71510986522195.733320692928
0.978831.08194836508210.841124959924
0.988996.45465738546215.592428724689
0.999144.59503092551142.019574187925


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')