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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 12 Feb 2015 15:01:09 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Feb/12/t1423753319l6oy50veg1ixyom.htm/, Retrieved Sat, 23 May 2026 17:38:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277172, Retrieved Sat, 23 May 2026 17:38:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact324

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] [gemiddelde consum...] [2015-01-28 20:21:49] [526168b572a4be8c1b9324381937969b]
- RMPD    [Harrell-Davis Quantiles] [] [2015-02-12 15:01:09] [7657461249ddfb44f7ff766614f926c4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277172&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277172&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277172&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0180.00001072082495.42402709716044e-05
0.0280.00032752663080.00168144840011974
0.0380.00379061909980.0161907208850239
0.0480.0243724129410.0854284267802769
0.0580.10283458263560.290782092678771
0.0680.31335261297540.69999781702404
0.0780.73525980096031.26387967404484
0.0881.39358304371151.78309466792052
0.0982.21811016380482.02568427984102
0.183.06665635683491.89652532001185
0.1183.79764915607351.49042265926077
0.1284.33296834799690.998562072875402
0.1384.67120217016060.580203611466533
0.1484.8600343340350.303809128423607
0.1584.96063467728980.170839760390444
0.1685.02673478888610.17229112911449
0.1785.10057292269770.286961734603283
0.1885.21675829367270.496740870468038
0.1985.40518252481660.79332424237349
0.285.68903898635081.14967446274079
0.2186.0788966117721.51276193607899
0.2286.56673208944841.81251827025092
0.2387.12425184082061.9835108943327
0.2487.70778234825611.98829880307528
0.2588.26858633011791.83041751228868
0.2688.76464730912991.55120263411717
0.2789.16938780242961.21273738525622
0.2889.47459486446660.876426695329433
0.2989.68768991561410.586478921726638
0.389.82567450942210.364000762154713
0.3189.90866401714330.209869999883129
0.3289.95508910947670.112595653929694
0.3389.97927546658720.056218028485804
0.3489.99102392538350.0262138003656304
0.3589.99635047387690.0113712832636296
0.3689.99860672533850.00462831178449487
0.3789.99950042348150.00175556653894633
0.3889.99983171209660.00063838783234412
0.3989.99994672660570.000199496197607537
0.489.99998414777333.98992395215075e-05
0.4189.99999556522453.98992395215075e-05
0.4289.99999883497670
0.4389.99999972061130
0.4489.99999997565330
0.4590.00000016868290
0.4690.00000073474060
0.4790.00000279298750
0.4890.0000099608244.43410130161608e-05
0.4990.00003345674740.000133023039048482
0.590.00010588677180.000443410130161608
0.5190.00031585942470.0012415483644525
0.5290.00088829031260.00332557597621206
0.5390.00235578972610.00833611044703823
0.5490.00589319227410.0195987277531431
0.5590.01390957397160.0433655107298053
0.5690.03098508415270.0900565974358226
0.5790.06516433905670.175590411543997
0.5890.12943539074710.321516685380182
0.5990.24293148051140.552489022181364
0.690.43107428583610.890714450083288
0.6190.7237235299731.34640445456905
0.6291.15066045392181.90727927154087
0.6391.73457597394522.53085815326277
0.6492.48303782732623.14458376439282
0.6593.38216360354693.65834083065288
0.6694.39516646943933.98754731152321
0.6795.46796155279754.08139563927197
0.6896.54163940989323.94521119341088
0.6997.56865067222143.64697792487593
0.798.52732158716083.30522430335436
0.7199.4289921486793.05935618490559
0.72100.3140507993683.0216694414286
0.73101.2369293113343.21886267093041
0.74102.2445115399053.57018764668557
0.75103.3558249330263.9290307469499
0.76104.5517347461064.146225813207
0.77105.7805925477474.1264287343932
0.78106.97965725953.86885056951681
0.79108.1046613846753.47698180281328
0.8109.1544795353043.13133350865572
0.81110.1776024692953.02068597359948
0.82111.2533770347863.22672806504795
0.83112.4524390923763.64098610512316
0.84113.7931757885164.02255815792702
0.85115.2175285807374.12497093231439
0.86116.6032609895763.81026888858421
0.87117.8104831919333.11415988123076
0.88118.7383200481692.2225822124995
0.89119.3599185348761.36849208098026
0.9119.7186837489680.717526526707628
0.91119.8947907829760.315590476110644
0.92119.9672456606540.114314586508541
0.93119.9924619614930.0336449765402925
0.94120.0094258088440.0197218107367055
0.95120.1236666575810.178756465067149
0.96121.0402421913551.45076938845375
0.97126.2429214090748.09691657176076
0.98145.11162981526.9282281727884
0.99182.49419376486938.4614886013074

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 80.0000107208249 & 5.42402709716044e-05 \tabularnewline
0.02 & 80.0003275266308 & 0.00168144840011974 \tabularnewline
0.03 & 80.0037906190998 & 0.0161907208850239 \tabularnewline
0.04 & 80.024372412941 & 0.0854284267802769 \tabularnewline
0.05 & 80.1028345826356 & 0.290782092678771 \tabularnewline
0.06 & 80.3133526129754 & 0.69999781702404 \tabularnewline
0.07 & 80.7352598009603 & 1.26387967404484 \tabularnewline
0.08 & 81.3935830437115 & 1.78309466792052 \tabularnewline
0.09 & 82.2181101638048 & 2.02568427984102 \tabularnewline
0.1 & 83.0666563568349 & 1.89652532001185 \tabularnewline
0.11 & 83.7976491560735 & 1.49042265926077 \tabularnewline
0.12 & 84.3329683479969 & 0.998562072875402 \tabularnewline
0.13 & 84.6712021701606 & 0.580203611466533 \tabularnewline
0.14 & 84.860034334035 & 0.303809128423607 \tabularnewline
0.15 & 84.9606346772898 & 0.170839760390444 \tabularnewline
0.16 & 85.0267347888861 & 0.17229112911449 \tabularnewline
0.17 & 85.1005729226977 & 0.286961734603283 \tabularnewline
0.18 & 85.2167582936727 & 0.496740870468038 \tabularnewline
0.19 & 85.4051825248166 & 0.79332424237349 \tabularnewline
0.2 & 85.6890389863508 & 1.14967446274079 \tabularnewline
0.21 & 86.078896611772 & 1.51276193607899 \tabularnewline
0.22 & 86.5667320894484 & 1.81251827025092 \tabularnewline
0.23 & 87.1242518408206 & 1.9835108943327 \tabularnewline
0.24 & 87.7077823482561 & 1.98829880307528 \tabularnewline
0.25 & 88.2685863301179 & 1.83041751228868 \tabularnewline
0.26 & 88.7646473091299 & 1.55120263411717 \tabularnewline
0.27 & 89.1693878024296 & 1.21273738525622 \tabularnewline
0.28 & 89.4745948644666 & 0.876426695329433 \tabularnewline
0.29 & 89.6876899156141 & 0.586478921726638 \tabularnewline
0.3 & 89.8256745094221 & 0.364000762154713 \tabularnewline
0.31 & 89.9086640171433 & 0.209869999883129 \tabularnewline
0.32 & 89.9550891094767 & 0.112595653929694 \tabularnewline
0.33 & 89.9792754665872 & 0.056218028485804 \tabularnewline
0.34 & 89.9910239253835 & 0.0262138003656304 \tabularnewline
0.35 & 89.9963504738769 & 0.0113712832636296 \tabularnewline
0.36 & 89.9986067253385 & 0.00462831178449487 \tabularnewline
0.37 & 89.9995004234815 & 0.00175556653894633 \tabularnewline
0.38 & 89.9998317120966 & 0.00063838783234412 \tabularnewline
0.39 & 89.9999467266057 & 0.000199496197607537 \tabularnewline
0.4 & 89.9999841477733 & 3.98992395215075e-05 \tabularnewline
0.41 & 89.9999955652245 & 3.98992395215075e-05 \tabularnewline
0.42 & 89.9999988349767 & 0 \tabularnewline
0.43 & 89.9999997206113 & 0 \tabularnewline
0.44 & 89.9999999756533 & 0 \tabularnewline
0.45 & 90.0000001686829 & 0 \tabularnewline
0.46 & 90.0000007347406 & 0 \tabularnewline
0.47 & 90.0000027929875 & 0 \tabularnewline
0.48 & 90.000009960824 & 4.43410130161608e-05 \tabularnewline
0.49 & 90.0000334567474 & 0.000133023039048482 \tabularnewline
0.5 & 90.0001058867718 & 0.000443410130161608 \tabularnewline
0.51 & 90.0003158594247 & 0.0012415483644525 \tabularnewline
0.52 & 90.0008882903126 & 0.00332557597621206 \tabularnewline
0.53 & 90.0023557897261 & 0.00833611044703823 \tabularnewline
0.54 & 90.0058931922741 & 0.0195987277531431 \tabularnewline
0.55 & 90.0139095739716 & 0.0433655107298053 \tabularnewline
0.56 & 90.0309850841527 & 0.0900565974358226 \tabularnewline
0.57 & 90.0651643390567 & 0.175590411543997 \tabularnewline
0.58 & 90.1294353907471 & 0.321516685380182 \tabularnewline
0.59 & 90.2429314805114 & 0.552489022181364 \tabularnewline
0.6 & 90.4310742858361 & 0.890714450083288 \tabularnewline
0.61 & 90.723723529973 & 1.34640445456905 \tabularnewline
0.62 & 91.1506604539218 & 1.90727927154087 \tabularnewline
0.63 & 91.7345759739452 & 2.53085815326277 \tabularnewline
0.64 & 92.4830378273262 & 3.14458376439282 \tabularnewline
0.65 & 93.3821636035469 & 3.65834083065288 \tabularnewline
0.66 & 94.3951664694393 & 3.98754731152321 \tabularnewline
0.67 & 95.4679615527975 & 4.08139563927197 \tabularnewline
0.68 & 96.5416394098932 & 3.94521119341088 \tabularnewline
0.69 & 97.5686506722214 & 3.64697792487593 \tabularnewline
0.7 & 98.5273215871608 & 3.30522430335436 \tabularnewline
0.71 & 99.428992148679 & 3.05935618490559 \tabularnewline
0.72 & 100.314050799368 & 3.0216694414286 \tabularnewline
0.73 & 101.236929311334 & 3.21886267093041 \tabularnewline
0.74 & 102.244511539905 & 3.57018764668557 \tabularnewline
0.75 & 103.355824933026 & 3.9290307469499 \tabularnewline
0.76 & 104.551734746106 & 4.146225813207 \tabularnewline
0.77 & 105.780592547747 & 4.1264287343932 \tabularnewline
0.78 & 106.9796572595 & 3.86885056951681 \tabularnewline
0.79 & 108.104661384675 & 3.47698180281328 \tabularnewline
0.8 & 109.154479535304 & 3.13133350865572 \tabularnewline
0.81 & 110.177602469295 & 3.02068597359948 \tabularnewline
0.82 & 111.253377034786 & 3.22672806504795 \tabularnewline
0.83 & 112.452439092376 & 3.64098610512316 \tabularnewline
0.84 & 113.793175788516 & 4.02255815792702 \tabularnewline
0.85 & 115.217528580737 & 4.12497093231439 \tabularnewline
0.86 & 116.603260989576 & 3.81026888858421 \tabularnewline
0.87 & 117.810483191933 & 3.11415988123076 \tabularnewline
0.88 & 118.738320048169 & 2.2225822124995 \tabularnewline
0.89 & 119.359918534876 & 1.36849208098026 \tabularnewline
0.9 & 119.718683748968 & 0.717526526707628 \tabularnewline
0.91 & 119.894790782976 & 0.315590476110644 \tabularnewline
0.92 & 119.967245660654 & 0.114314586508541 \tabularnewline
0.93 & 119.992461961493 & 0.0336449765402925 \tabularnewline
0.94 & 120.009425808844 & 0.0197218107367055 \tabularnewline
0.95 & 120.123666657581 & 0.178756465067149 \tabularnewline
0.96 & 121.040242191355 & 1.45076938845375 \tabularnewline
0.97 & 126.242921409074 & 8.09691657176076 \tabularnewline
0.98 & 145.111629815 & 26.9282281727884 \tabularnewline
0.99 & 182.494193764869 & 38.4614886013074 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277172&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]80.0000107208249[/C][C]5.42402709716044e-05[/C][/ROW]
[ROW][C]0.02[/C][C]80.0003275266308[/C][C]0.00168144840011974[/C][/ROW]
[ROW][C]0.03[/C][C]80.0037906190998[/C][C]0.0161907208850239[/C][/ROW]
[ROW][C]0.04[/C][C]80.024372412941[/C][C]0.0854284267802769[/C][/ROW]
[ROW][C]0.05[/C][C]80.1028345826356[/C][C]0.290782092678771[/C][/ROW]
[ROW][C]0.06[/C][C]80.3133526129754[/C][C]0.69999781702404[/C][/ROW]
[ROW][C]0.07[/C][C]80.7352598009603[/C][C]1.26387967404484[/C][/ROW]
[ROW][C]0.08[/C][C]81.3935830437115[/C][C]1.78309466792052[/C][/ROW]
[ROW][C]0.09[/C][C]82.2181101638048[/C][C]2.02568427984102[/C][/ROW]
[ROW][C]0.1[/C][C]83.0666563568349[/C][C]1.89652532001185[/C][/ROW]
[ROW][C]0.11[/C][C]83.7976491560735[/C][C]1.49042265926077[/C][/ROW]
[ROW][C]0.12[/C][C]84.3329683479969[/C][C]0.998562072875402[/C][/ROW]
[ROW][C]0.13[/C][C]84.6712021701606[/C][C]0.580203611466533[/C][/ROW]
[ROW][C]0.14[/C][C]84.860034334035[/C][C]0.303809128423607[/C][/ROW]
[ROW][C]0.15[/C][C]84.9606346772898[/C][C]0.170839760390444[/C][/ROW]
[ROW][C]0.16[/C][C]85.0267347888861[/C][C]0.17229112911449[/C][/ROW]
[ROW][C]0.17[/C][C]85.1005729226977[/C][C]0.286961734603283[/C][/ROW]
[ROW][C]0.18[/C][C]85.2167582936727[/C][C]0.496740870468038[/C][/ROW]
[ROW][C]0.19[/C][C]85.4051825248166[/C][C]0.79332424237349[/C][/ROW]
[ROW][C]0.2[/C][C]85.6890389863508[/C][C]1.14967446274079[/C][/ROW]
[ROW][C]0.21[/C][C]86.078896611772[/C][C]1.51276193607899[/C][/ROW]
[ROW][C]0.22[/C][C]86.5667320894484[/C][C]1.81251827025092[/C][/ROW]
[ROW][C]0.23[/C][C]87.1242518408206[/C][C]1.9835108943327[/C][/ROW]
[ROW][C]0.24[/C][C]87.7077823482561[/C][C]1.98829880307528[/C][/ROW]
[ROW][C]0.25[/C][C]88.2685863301179[/C][C]1.83041751228868[/C][/ROW]
[ROW][C]0.26[/C][C]88.7646473091299[/C][C]1.55120263411717[/C][/ROW]
[ROW][C]0.27[/C][C]89.1693878024296[/C][C]1.21273738525622[/C][/ROW]
[ROW][C]0.28[/C][C]89.4745948644666[/C][C]0.876426695329433[/C][/ROW]
[ROW][C]0.29[/C][C]89.6876899156141[/C][C]0.586478921726638[/C][/ROW]
[ROW][C]0.3[/C][C]89.8256745094221[/C][C]0.364000762154713[/C][/ROW]
[ROW][C]0.31[/C][C]89.9086640171433[/C][C]0.209869999883129[/C][/ROW]
[ROW][C]0.32[/C][C]89.9550891094767[/C][C]0.112595653929694[/C][/ROW]
[ROW][C]0.33[/C][C]89.9792754665872[/C][C]0.056218028485804[/C][/ROW]
[ROW][C]0.34[/C][C]89.9910239253835[/C][C]0.0262138003656304[/C][/ROW]
[ROW][C]0.35[/C][C]89.9963504738769[/C][C]0.0113712832636296[/C][/ROW]
[ROW][C]0.36[/C][C]89.9986067253385[/C][C]0.00462831178449487[/C][/ROW]
[ROW][C]0.37[/C][C]89.9995004234815[/C][C]0.00175556653894633[/C][/ROW]
[ROW][C]0.38[/C][C]89.9998317120966[/C][C]0.00063838783234412[/C][/ROW]
[ROW][C]0.39[/C][C]89.9999467266057[/C][C]0.000199496197607537[/C][/ROW]
[ROW][C]0.4[/C][C]89.9999841477733[/C][C]3.98992395215075e-05[/C][/ROW]
[ROW][C]0.41[/C][C]89.9999955652245[/C][C]3.98992395215075e-05[/C][/ROW]
[ROW][C]0.42[/C][C]89.9999988349767[/C][C]0[/C][/ROW]
[ROW][C]0.43[/C][C]89.9999997206113[/C][C]0[/C][/ROW]
[ROW][C]0.44[/C][C]89.9999999756533[/C][C]0[/C][/ROW]
[ROW][C]0.45[/C][C]90.0000001686829[/C][C]0[/C][/ROW]
[ROW][C]0.46[/C][C]90.0000007347406[/C][C]0[/C][/ROW]
[ROW][C]0.47[/C][C]90.0000027929875[/C][C]0[/C][/ROW]
[ROW][C]0.48[/C][C]90.000009960824[/C][C]4.43410130161608e-05[/C][/ROW]
[ROW][C]0.49[/C][C]90.0000334567474[/C][C]0.000133023039048482[/C][/ROW]
[ROW][C]0.5[/C][C]90.0001058867718[/C][C]0.000443410130161608[/C][/ROW]
[ROW][C]0.51[/C][C]90.0003158594247[/C][C]0.0012415483644525[/C][/ROW]
[ROW][C]0.52[/C][C]90.0008882903126[/C][C]0.00332557597621206[/C][/ROW]
[ROW][C]0.53[/C][C]90.0023557897261[/C][C]0.00833611044703823[/C][/ROW]
[ROW][C]0.54[/C][C]90.0058931922741[/C][C]0.0195987277531431[/C][/ROW]
[ROW][C]0.55[/C][C]90.0139095739716[/C][C]0.0433655107298053[/C][/ROW]
[ROW][C]0.56[/C][C]90.0309850841527[/C][C]0.0900565974358226[/C][/ROW]
[ROW][C]0.57[/C][C]90.0651643390567[/C][C]0.175590411543997[/C][/ROW]
[ROW][C]0.58[/C][C]90.1294353907471[/C][C]0.321516685380182[/C][/ROW]
[ROW][C]0.59[/C][C]90.2429314805114[/C][C]0.552489022181364[/C][/ROW]
[ROW][C]0.6[/C][C]90.4310742858361[/C][C]0.890714450083288[/C][/ROW]
[ROW][C]0.61[/C][C]90.723723529973[/C][C]1.34640445456905[/C][/ROW]
[ROW][C]0.62[/C][C]91.1506604539218[/C][C]1.90727927154087[/C][/ROW]
[ROW][C]0.63[/C][C]91.7345759739452[/C][C]2.53085815326277[/C][/ROW]
[ROW][C]0.64[/C][C]92.4830378273262[/C][C]3.14458376439282[/C][/ROW]
[ROW][C]0.65[/C][C]93.3821636035469[/C][C]3.65834083065288[/C][/ROW]
[ROW][C]0.66[/C][C]94.3951664694393[/C][C]3.98754731152321[/C][/ROW]
[ROW][C]0.67[/C][C]95.4679615527975[/C][C]4.08139563927197[/C][/ROW]
[ROW][C]0.68[/C][C]96.5416394098932[/C][C]3.94521119341088[/C][/ROW]
[ROW][C]0.69[/C][C]97.5686506722214[/C][C]3.64697792487593[/C][/ROW]
[ROW][C]0.7[/C][C]98.5273215871608[/C][C]3.30522430335436[/C][/ROW]
[ROW][C]0.71[/C][C]99.428992148679[/C][C]3.05935618490559[/C][/ROW]
[ROW][C]0.72[/C][C]100.314050799368[/C][C]3.0216694414286[/C][/ROW]
[ROW][C]0.73[/C][C]101.236929311334[/C][C]3.21886267093041[/C][/ROW]
[ROW][C]0.74[/C][C]102.244511539905[/C][C]3.57018764668557[/C][/ROW]
[ROW][C]0.75[/C][C]103.355824933026[/C][C]3.9290307469499[/C][/ROW]
[ROW][C]0.76[/C][C]104.551734746106[/C][C]4.146225813207[/C][/ROW]
[ROW][C]0.77[/C][C]105.780592547747[/C][C]4.1264287343932[/C][/ROW]
[ROW][C]0.78[/C][C]106.9796572595[/C][C]3.86885056951681[/C][/ROW]
[ROW][C]0.79[/C][C]108.104661384675[/C][C]3.47698180281328[/C][/ROW]
[ROW][C]0.8[/C][C]109.154479535304[/C][C]3.13133350865572[/C][/ROW]
[ROW][C]0.81[/C][C]110.177602469295[/C][C]3.02068597359948[/C][/ROW]
[ROW][C]0.82[/C][C]111.253377034786[/C][C]3.22672806504795[/C][/ROW]
[ROW][C]0.83[/C][C]112.452439092376[/C][C]3.64098610512316[/C][/ROW]
[ROW][C]0.84[/C][C]113.793175788516[/C][C]4.02255815792702[/C][/ROW]
[ROW][C]0.85[/C][C]115.217528580737[/C][C]4.12497093231439[/C][/ROW]
[ROW][C]0.86[/C][C]116.603260989576[/C][C]3.81026888858421[/C][/ROW]
[ROW][C]0.87[/C][C]117.810483191933[/C][C]3.11415988123076[/C][/ROW]
[ROW][C]0.88[/C][C]118.738320048169[/C][C]2.2225822124995[/C][/ROW]
[ROW][C]0.89[/C][C]119.359918534876[/C][C]1.36849208098026[/C][/ROW]
[ROW][C]0.9[/C][C]119.718683748968[/C][C]0.717526526707628[/C][/ROW]
[ROW][C]0.91[/C][C]119.894790782976[/C][C]0.315590476110644[/C][/ROW]
[ROW][C]0.92[/C][C]119.967245660654[/C][C]0.114314586508541[/C][/ROW]
[ROW][C]0.93[/C][C]119.992461961493[/C][C]0.0336449765402925[/C][/ROW]
[ROW][C]0.94[/C][C]120.009425808844[/C][C]0.0197218107367055[/C][/ROW]
[ROW][C]0.95[/C][C]120.123666657581[/C][C]0.178756465067149[/C][/ROW]
[ROW][C]0.96[/C][C]121.040242191355[/C][C]1.45076938845375[/C][/ROW]
[ROW][C]0.97[/C][C]126.242921409074[/C][C]8.09691657176076[/C][/ROW]
[ROW][C]0.98[/C][C]145.111629815[/C][C]26.9282281727884[/C][/ROW]
[ROW][C]0.99[/C][C]182.494193764869[/C][C]38.4614886013074[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277172&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277172&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
0.0180.00001072082495.42402709716044e-05
0.0280.00032752663080.00168144840011974
0.0380.00379061909980.0161907208850239
0.0480.0243724129410.0854284267802769
0.0580.10283458263560.290782092678771
0.0680.31335261297540.69999781702404
0.0780.73525980096031.26387967404484
0.0881.39358304371151.78309466792052
0.0982.21811016380482.02568427984102
0.183.06665635683491.89652532001185
0.1183.79764915607351.49042265926077
0.1284.33296834799690.998562072875402
0.1384.67120217016060.580203611466533
0.1484.8600343340350.303809128423607
0.1584.96063467728980.170839760390444
0.1685.02673478888610.17229112911449
0.1785.10057292269770.286961734603283
0.1885.21675829367270.496740870468038
0.1985.40518252481660.79332424237349
0.285.68903898635081.14967446274079
0.2186.0788966117721.51276193607899
0.2286.56673208944841.81251827025092
0.2387.12425184082061.9835108943327
0.2487.70778234825611.98829880307528
0.2588.26858633011791.83041751228868
0.2688.76464730912991.55120263411717
0.2789.16938780242961.21273738525622
0.2889.47459486446660.876426695329433
0.2989.68768991561410.586478921726638
0.389.82567450942210.364000762154713
0.3189.90866401714330.209869999883129
0.3289.95508910947670.112595653929694
0.3389.97927546658720.056218028485804
0.3489.99102392538350.0262138003656304
0.3589.99635047387690.0113712832636296
0.3689.99860672533850.00462831178449487
0.3789.99950042348150.00175556653894633
0.3889.99983171209660.00063838783234412
0.3989.99994672660570.000199496197607537
0.489.99998414777333.98992395215075e-05
0.4189.99999556522453.98992395215075e-05
0.4289.99999883497670
0.4389.99999972061130
0.4489.99999997565330
0.4590.00000016868290
0.4690.00000073474060
0.4790.00000279298750
0.4890.0000099608244.43410130161608e-05
0.4990.00003345674740.000133023039048482
0.590.00010588677180.000443410130161608
0.5190.00031585942470.0012415483644525
0.5290.00088829031260.00332557597621206
0.5390.00235578972610.00833611044703823
0.5490.00589319227410.0195987277531431
0.5590.01390957397160.0433655107298053
0.5690.03098508415270.0900565974358226
0.5790.06516433905670.175590411543997
0.5890.12943539074710.321516685380182
0.5990.24293148051140.552489022181364
0.690.43107428583610.890714450083288
0.6190.7237235299731.34640445456905
0.6291.15066045392181.90727927154087
0.6391.73457597394522.53085815326277
0.6492.48303782732623.14458376439282
0.6593.38216360354693.65834083065288
0.6694.39516646943933.98754731152321
0.6795.46796155279754.08139563927197
0.6896.54163940989323.94521119341088
0.6997.56865067222143.64697792487593
0.798.52732158716083.30522430335436
0.7199.4289921486793.05935618490559
0.72100.3140507993683.0216694414286
0.73101.2369293113343.21886267093041
0.74102.2445115399053.57018764668557
0.75103.3558249330263.9290307469499
0.76104.5517347461064.146225813207
0.77105.7805925477474.1264287343932
0.78106.97965725953.86885056951681
0.79108.1046613846753.47698180281328
0.8109.1544795353043.13133350865572
0.81110.1776024692953.02068597359948
0.82111.2533770347863.22672806504795
0.83112.4524390923763.64098610512316
0.84113.7931757885164.02255815792702
0.85115.2175285807374.12497093231439
0.86116.6032609895763.81026888858421
0.87117.8104831919333.11415988123076
0.88118.7383200481692.2225822124995
0.89119.3599185348761.36849208098026
0.9119.7186837489680.717526526707628
0.91119.8947907829760.315590476110644
0.92119.9672456606540.114314586508541
0.93119.9924619614930.0336449765402925
0.94120.0094258088440.0197218107367055
0.95120.1236666575810.178756465067149
0.96121.0402421913551.45076938845375
0.97126.2429214090748.09691657176076
0.98145.11162981526.9282281727884
0.99182.49419376486938.4614886013074


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')