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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 computationSun, 16 Feb 2014 16:50:50 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Feb/16/t1392587549et2jljpyi6bjvbq.htm/, Retrieved Sat, 18 May 2024 05:07:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233867, Retrieved Sat, 18 May 2024 05:07:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact69

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [gemiddelde prijs ...] [2014-02-16 21:50:50] [b973758fc1658916c4a7c8f7ddd22f57] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2,9
3
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3,5

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233867&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233867&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233867&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.930070545049140.0694898168245951
0.022.96429554378560.0357641464187985
0.032.985882262845460.0142688609304882
0.042.995469112429740.00462302707490467
0.052.998778799487710.00125823418299357
0.062.999716586525910.000294946488879976
0.072.999942296866636.05441275097075e-05
0.082.999989565855861.10722723461333e-05
0.092.999998397959212.27361901192269e-06
0.13.000000125301882.03920146245897e-06
0.113.000001199301465.95863956619021e-06
0.123.000003672770781.78759186985706e-05
0.133.000010096002484.56829033407916e-05
0.143.000025695699650.000107255512191424
0.153.000060930811710.000238345582647608
0.163.00013522679030.000493573977399422
0.173.000282011901830.000956361650373529
0.183.00055461485130.00174071402636284
0.193.001031868570270.00298329220947257
0.23.001821524821930.00483821339545152
0.213.003059127668780.00742783168778415
0.223.004900190262550.0108252337766655
0.233.007504626393440.0150020093330209
0.243.011014368136610.0198058023584443
0.253.01552752014260.0249484080022083
0.263.021074495967540.0300387740162419
0.273.027602505180610.0346304240794453
0.283.034973924500560.0383094608328699
0.293.042981451510230.0407757620536759
0.33.05137909719860.0419159722782551
0.313.059924073312390.041848860909298
0.323.068421615223150.0409276847324975
0.333.076763592483040.0397143046284822
0.343.08495268184870.038901753360064
0.353.093106610410380.0392061988556525
0.363.101440807757840.0411728603856342
0.373.110231877565590.0450125089901347
0.383.119767834383620.0505251360622859
0.393.13029347773670.0571882343691189
0.43.141960244428750.0642619904291185
0.413.154789249292660.0709246754221336
0.423.1686540594730.0763587768090884
0.433.183286350385250.0798684309048093
0.443.19830352480350.0809700471472123
0.453.213253414440520.0794545694708786
0.463.227668165262520.0754108357747852
0.473.241118016835870.0692008449932297
0.483.253256233313440.0613818903809235
0.493.263848750759430.0526229915098456
0.53.27278554452720.0436008173074095
0.513.280074405019720.0349122855626915
0.523.285820866501280.0270138757390233
0.533.290199849792490.0201988329035992
0.543.293424947384110.0145915432634448
0.553.295720391126260.0101844292746175
0.563.297299065680720.00686677316463271
0.573.298348023020780.00447073516654636
0.583.299021290439940.00281119309676468
0.593.299438634908070.00170591004184186
0.63.299688426929250.000999607211622883
0.613.299832746510770.000566120589106811
0.623.299913211697950.000307322605515126
0.633.299956492609010.000161748739744803
0.643.299978947703938.19526948040336e-05
0.653.299990193931734.09763474020168e-05
0.663.299995668460521.94098487693764e-05
0.673.299998370143319.2344161197963e-06
0.683.300000020220255.47432953322822e-06
0.693.300001898474477.76519851934386e-06
0.73.300005637402181.79859811548599e-05
0.713.300014333998264.24996762485535e-05
0.723.300034500903719.89216602337022e-05
0.733.30007964135220.000219825911630449
0.743.300176562015010.000466030932656552
0.753.30037580062470.000948182432166004
0.763.300767448165780.00184287389250193
0.773.3015027156810.00341682741977595
0.783.302819282456880.00603641953337214
0.793.305064455509740.0101449658217452
0.83.308704958180160.0161879801324663
0.813.31430764390070.0244790807661281
0.823.322475072750180.0349977506376451
0.833.333727791825750.0471914939557861
0.843.348343578344970.0598432079231572
0.853.366189884860860.0711363977566521
0.863.386609003332750.0789739242593164
0.873.408420564625650.0815334306237336
0.883.430080090750290.0778872515028232
0.893.449976198802390.0684427975861404
0.93.46678364837750.054935228069488
0.913.479749748320620.0399306440946323
0.923.488806939679390.0260061380989209
0.933.494475420559980.0149708773350724
0.943.497611524207760.00748360678493926
0.953.499118443409360.00316988964571108
0.963.499732253505540.00109766405207471
0.973.499936843066070.000293101215507266
0.983.499989593646335.42237248688441e-05
0.993.499999079791185.12927127137715e-06

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2.93007054504914 & 0.0694898168245951 \tabularnewline
0.02 & 2.9642955437856 & 0.0357641464187985 \tabularnewline
0.03 & 2.98588226284546 & 0.0142688609304882 \tabularnewline
0.04 & 2.99546911242974 & 0.00462302707490467 \tabularnewline
0.05 & 2.99877879948771 & 0.00125823418299357 \tabularnewline
0.06 & 2.99971658652591 & 0.000294946488879976 \tabularnewline
0.07 & 2.99994229686663 & 6.05441275097075e-05 \tabularnewline
0.08 & 2.99998956585586 & 1.10722723461333e-05 \tabularnewline
0.09 & 2.99999839795921 & 2.27361901192269e-06 \tabularnewline
0.1 & 3.00000012530188 & 2.03920146245897e-06 \tabularnewline
0.11 & 3.00000119930146 & 5.95863956619021e-06 \tabularnewline
0.12 & 3.00000367277078 & 1.78759186985706e-05 \tabularnewline
0.13 & 3.00001009600248 & 4.56829033407916e-05 \tabularnewline
0.14 & 3.00002569569965 & 0.000107255512191424 \tabularnewline
0.15 & 3.00006093081171 & 0.000238345582647608 \tabularnewline
0.16 & 3.0001352267903 & 0.000493573977399422 \tabularnewline
0.17 & 3.00028201190183 & 0.000956361650373529 \tabularnewline
0.18 & 3.0005546148513 & 0.00174071402636284 \tabularnewline
0.19 & 3.00103186857027 & 0.00298329220947257 \tabularnewline
0.2 & 3.00182152482193 & 0.00483821339545152 \tabularnewline
0.21 & 3.00305912766878 & 0.00742783168778415 \tabularnewline
0.22 & 3.00490019026255 & 0.0108252337766655 \tabularnewline
0.23 & 3.00750462639344 & 0.0150020093330209 \tabularnewline
0.24 & 3.01101436813661 & 0.0198058023584443 \tabularnewline
0.25 & 3.0155275201426 & 0.0249484080022083 \tabularnewline
0.26 & 3.02107449596754 & 0.0300387740162419 \tabularnewline
0.27 & 3.02760250518061 & 0.0346304240794453 \tabularnewline
0.28 & 3.03497392450056 & 0.0383094608328699 \tabularnewline
0.29 & 3.04298145151023 & 0.0407757620536759 \tabularnewline
0.3 & 3.0513790971986 & 0.0419159722782551 \tabularnewline
0.31 & 3.05992407331239 & 0.041848860909298 \tabularnewline
0.32 & 3.06842161522315 & 0.0409276847324975 \tabularnewline
0.33 & 3.07676359248304 & 0.0397143046284822 \tabularnewline
0.34 & 3.0849526818487 & 0.038901753360064 \tabularnewline
0.35 & 3.09310661041038 & 0.0392061988556525 \tabularnewline
0.36 & 3.10144080775784 & 0.0411728603856342 \tabularnewline
0.37 & 3.11023187756559 & 0.0450125089901347 \tabularnewline
0.38 & 3.11976783438362 & 0.0505251360622859 \tabularnewline
0.39 & 3.1302934777367 & 0.0571882343691189 \tabularnewline
0.4 & 3.14196024442875 & 0.0642619904291185 \tabularnewline
0.41 & 3.15478924929266 & 0.0709246754221336 \tabularnewline
0.42 & 3.168654059473 & 0.0763587768090884 \tabularnewline
0.43 & 3.18328635038525 & 0.0798684309048093 \tabularnewline
0.44 & 3.1983035248035 & 0.0809700471472123 \tabularnewline
0.45 & 3.21325341444052 & 0.0794545694708786 \tabularnewline
0.46 & 3.22766816526252 & 0.0754108357747852 \tabularnewline
0.47 & 3.24111801683587 & 0.0692008449932297 \tabularnewline
0.48 & 3.25325623331344 & 0.0613818903809235 \tabularnewline
0.49 & 3.26384875075943 & 0.0526229915098456 \tabularnewline
0.5 & 3.2727855445272 & 0.0436008173074095 \tabularnewline
0.51 & 3.28007440501972 & 0.0349122855626915 \tabularnewline
0.52 & 3.28582086650128 & 0.0270138757390233 \tabularnewline
0.53 & 3.29019984979249 & 0.0201988329035992 \tabularnewline
0.54 & 3.29342494738411 & 0.0145915432634448 \tabularnewline
0.55 & 3.29572039112626 & 0.0101844292746175 \tabularnewline
0.56 & 3.29729906568072 & 0.00686677316463271 \tabularnewline
0.57 & 3.29834802302078 & 0.00447073516654636 \tabularnewline
0.58 & 3.29902129043994 & 0.00281119309676468 \tabularnewline
0.59 & 3.29943863490807 & 0.00170591004184186 \tabularnewline
0.6 & 3.29968842692925 & 0.000999607211622883 \tabularnewline
0.61 & 3.29983274651077 & 0.000566120589106811 \tabularnewline
0.62 & 3.29991321169795 & 0.000307322605515126 \tabularnewline
0.63 & 3.29995649260901 & 0.000161748739744803 \tabularnewline
0.64 & 3.29997894770393 & 8.19526948040336e-05 \tabularnewline
0.65 & 3.29999019393173 & 4.09763474020168e-05 \tabularnewline
0.66 & 3.29999566846052 & 1.94098487693764e-05 \tabularnewline
0.67 & 3.29999837014331 & 9.2344161197963e-06 \tabularnewline
0.68 & 3.30000002022025 & 5.47432953322822e-06 \tabularnewline
0.69 & 3.30000189847447 & 7.76519851934386e-06 \tabularnewline
0.7 & 3.30000563740218 & 1.79859811548599e-05 \tabularnewline
0.71 & 3.30001433399826 & 4.24996762485535e-05 \tabularnewline
0.72 & 3.30003450090371 & 9.89216602337022e-05 \tabularnewline
0.73 & 3.3000796413522 & 0.000219825911630449 \tabularnewline
0.74 & 3.30017656201501 & 0.000466030932656552 \tabularnewline
0.75 & 3.3003758006247 & 0.000948182432166004 \tabularnewline
0.76 & 3.30076744816578 & 0.00184287389250193 \tabularnewline
0.77 & 3.301502715681 & 0.00341682741977595 \tabularnewline
0.78 & 3.30281928245688 & 0.00603641953337214 \tabularnewline
0.79 & 3.30506445550974 & 0.0101449658217452 \tabularnewline
0.8 & 3.30870495818016 & 0.0161879801324663 \tabularnewline
0.81 & 3.3143076439007 & 0.0244790807661281 \tabularnewline
0.82 & 3.32247507275018 & 0.0349977506376451 \tabularnewline
0.83 & 3.33372779182575 & 0.0471914939557861 \tabularnewline
0.84 & 3.34834357834497 & 0.0598432079231572 \tabularnewline
0.85 & 3.36618988486086 & 0.0711363977566521 \tabularnewline
0.86 & 3.38660900333275 & 0.0789739242593164 \tabularnewline
0.87 & 3.40842056462565 & 0.0815334306237336 \tabularnewline
0.88 & 3.43008009075029 & 0.0778872515028232 \tabularnewline
0.89 & 3.44997619880239 & 0.0684427975861404 \tabularnewline
0.9 & 3.4667836483775 & 0.054935228069488 \tabularnewline
0.91 & 3.47974974832062 & 0.0399306440946323 \tabularnewline
0.92 & 3.48880693967939 & 0.0260061380989209 \tabularnewline
0.93 & 3.49447542055998 & 0.0149708773350724 \tabularnewline
0.94 & 3.49761152420776 & 0.00748360678493926 \tabularnewline
0.95 & 3.49911844340936 & 0.00316988964571108 \tabularnewline
0.96 & 3.49973225350554 & 0.00109766405207471 \tabularnewline
0.97 & 3.49993684306607 & 0.000293101215507266 \tabularnewline
0.98 & 3.49998959364633 & 5.42237248688441e-05 \tabularnewline
0.99 & 3.49999907979118 & 5.12927127137715e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233867&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]2.93007054504914[/C][C]0.0694898168245951[/C][/ROW]
[ROW][C]0.02[/C][C]2.9642955437856[/C][C]0.0357641464187985[/C][/ROW]
[ROW][C]0.03[/C][C]2.98588226284546[/C][C]0.0142688609304882[/C][/ROW]
[ROW][C]0.04[/C][C]2.99546911242974[/C][C]0.00462302707490467[/C][/ROW]
[ROW][C]0.05[/C][C]2.99877879948771[/C][C]0.00125823418299357[/C][/ROW]
[ROW][C]0.06[/C][C]2.99971658652591[/C][C]0.000294946488879976[/C][/ROW]
[ROW][C]0.07[/C][C]2.99994229686663[/C][C]6.05441275097075e-05[/C][/ROW]
[ROW][C]0.08[/C][C]2.99998956585586[/C][C]1.10722723461333e-05[/C][/ROW]
[ROW][C]0.09[/C][C]2.99999839795921[/C][C]2.27361901192269e-06[/C][/ROW]
[ROW][C]0.1[/C][C]3.00000012530188[/C][C]2.03920146245897e-06[/C][/ROW]
[ROW][C]0.11[/C][C]3.00000119930146[/C][C]5.95863956619021e-06[/C][/ROW]
[ROW][C]0.12[/C][C]3.00000367277078[/C][C]1.78759186985706e-05[/C][/ROW]
[ROW][C]0.13[/C][C]3.00001009600248[/C][C]4.56829033407916e-05[/C][/ROW]
[ROW][C]0.14[/C][C]3.00002569569965[/C][C]0.000107255512191424[/C][/ROW]
[ROW][C]0.15[/C][C]3.00006093081171[/C][C]0.000238345582647608[/C][/ROW]
[ROW][C]0.16[/C][C]3.0001352267903[/C][C]0.000493573977399422[/C][/ROW]
[ROW][C]0.17[/C][C]3.00028201190183[/C][C]0.000956361650373529[/C][/ROW]
[ROW][C]0.18[/C][C]3.0005546148513[/C][C]0.00174071402636284[/C][/ROW]
[ROW][C]0.19[/C][C]3.00103186857027[/C][C]0.00298329220947257[/C][/ROW]
[ROW][C]0.2[/C][C]3.00182152482193[/C][C]0.00483821339545152[/C][/ROW]
[ROW][C]0.21[/C][C]3.00305912766878[/C][C]0.00742783168778415[/C][/ROW]
[ROW][C]0.22[/C][C]3.00490019026255[/C][C]0.0108252337766655[/C][/ROW]
[ROW][C]0.23[/C][C]3.00750462639344[/C][C]0.0150020093330209[/C][/ROW]
[ROW][C]0.24[/C][C]3.01101436813661[/C][C]0.0198058023584443[/C][/ROW]
[ROW][C]0.25[/C][C]3.0155275201426[/C][C]0.0249484080022083[/C][/ROW]
[ROW][C]0.26[/C][C]3.02107449596754[/C][C]0.0300387740162419[/C][/ROW]
[ROW][C]0.27[/C][C]3.02760250518061[/C][C]0.0346304240794453[/C][/ROW]
[ROW][C]0.28[/C][C]3.03497392450056[/C][C]0.0383094608328699[/C][/ROW]
[ROW][C]0.29[/C][C]3.04298145151023[/C][C]0.0407757620536759[/C][/ROW]
[ROW][C]0.3[/C][C]3.0513790971986[/C][C]0.0419159722782551[/C][/ROW]
[ROW][C]0.31[/C][C]3.05992407331239[/C][C]0.041848860909298[/C][/ROW]
[ROW][C]0.32[/C][C]3.06842161522315[/C][C]0.0409276847324975[/C][/ROW]
[ROW][C]0.33[/C][C]3.07676359248304[/C][C]0.0397143046284822[/C][/ROW]
[ROW][C]0.34[/C][C]3.0849526818487[/C][C]0.038901753360064[/C][/ROW]
[ROW][C]0.35[/C][C]3.09310661041038[/C][C]0.0392061988556525[/C][/ROW]
[ROW][C]0.36[/C][C]3.10144080775784[/C][C]0.0411728603856342[/C][/ROW]
[ROW][C]0.37[/C][C]3.11023187756559[/C][C]0.0450125089901347[/C][/ROW]
[ROW][C]0.38[/C][C]3.11976783438362[/C][C]0.0505251360622859[/C][/ROW]
[ROW][C]0.39[/C][C]3.1302934777367[/C][C]0.0571882343691189[/C][/ROW]
[ROW][C]0.4[/C][C]3.14196024442875[/C][C]0.0642619904291185[/C][/ROW]
[ROW][C]0.41[/C][C]3.15478924929266[/C][C]0.0709246754221336[/C][/ROW]
[ROW][C]0.42[/C][C]3.168654059473[/C][C]0.0763587768090884[/C][/ROW]
[ROW][C]0.43[/C][C]3.18328635038525[/C][C]0.0798684309048093[/C][/ROW]
[ROW][C]0.44[/C][C]3.1983035248035[/C][C]0.0809700471472123[/C][/ROW]
[ROW][C]0.45[/C][C]3.21325341444052[/C][C]0.0794545694708786[/C][/ROW]
[ROW][C]0.46[/C][C]3.22766816526252[/C][C]0.0754108357747852[/C][/ROW]
[ROW][C]0.47[/C][C]3.24111801683587[/C][C]0.0692008449932297[/C][/ROW]
[ROW][C]0.48[/C][C]3.25325623331344[/C][C]0.0613818903809235[/C][/ROW]
[ROW][C]0.49[/C][C]3.26384875075943[/C][C]0.0526229915098456[/C][/ROW]
[ROW][C]0.5[/C][C]3.2727855445272[/C][C]0.0436008173074095[/C][/ROW]
[ROW][C]0.51[/C][C]3.28007440501972[/C][C]0.0349122855626915[/C][/ROW]
[ROW][C]0.52[/C][C]3.28582086650128[/C][C]0.0270138757390233[/C][/ROW]
[ROW][C]0.53[/C][C]3.29019984979249[/C][C]0.0201988329035992[/C][/ROW]
[ROW][C]0.54[/C][C]3.29342494738411[/C][C]0.0145915432634448[/C][/ROW]
[ROW][C]0.55[/C][C]3.29572039112626[/C][C]0.0101844292746175[/C][/ROW]
[ROW][C]0.56[/C][C]3.29729906568072[/C][C]0.00686677316463271[/C][/ROW]
[ROW][C]0.57[/C][C]3.29834802302078[/C][C]0.00447073516654636[/C][/ROW]
[ROW][C]0.58[/C][C]3.29902129043994[/C][C]0.00281119309676468[/C][/ROW]
[ROW][C]0.59[/C][C]3.29943863490807[/C][C]0.00170591004184186[/C][/ROW]
[ROW][C]0.6[/C][C]3.29968842692925[/C][C]0.000999607211622883[/C][/ROW]
[ROW][C]0.61[/C][C]3.29983274651077[/C][C]0.000566120589106811[/C][/ROW]
[ROW][C]0.62[/C][C]3.29991321169795[/C][C]0.000307322605515126[/C][/ROW]
[ROW][C]0.63[/C][C]3.29995649260901[/C][C]0.000161748739744803[/C][/ROW]
[ROW][C]0.64[/C][C]3.29997894770393[/C][C]8.19526948040336e-05[/C][/ROW]
[ROW][C]0.65[/C][C]3.29999019393173[/C][C]4.09763474020168e-05[/C][/ROW]
[ROW][C]0.66[/C][C]3.29999566846052[/C][C]1.94098487693764e-05[/C][/ROW]
[ROW][C]0.67[/C][C]3.29999837014331[/C][C]9.2344161197963e-06[/C][/ROW]
[ROW][C]0.68[/C][C]3.30000002022025[/C][C]5.47432953322822e-06[/C][/ROW]
[ROW][C]0.69[/C][C]3.30000189847447[/C][C]7.76519851934386e-06[/C][/ROW]
[ROW][C]0.7[/C][C]3.30000563740218[/C][C]1.79859811548599e-05[/C][/ROW]
[ROW][C]0.71[/C][C]3.30001433399826[/C][C]4.24996762485535e-05[/C][/ROW]
[ROW][C]0.72[/C][C]3.30003450090371[/C][C]9.89216602337022e-05[/C][/ROW]
[ROW][C]0.73[/C][C]3.3000796413522[/C][C]0.000219825911630449[/C][/ROW]
[ROW][C]0.74[/C][C]3.30017656201501[/C][C]0.000466030932656552[/C][/ROW]
[ROW][C]0.75[/C][C]3.3003758006247[/C][C]0.000948182432166004[/C][/ROW]
[ROW][C]0.76[/C][C]3.30076744816578[/C][C]0.00184287389250193[/C][/ROW]
[ROW][C]0.77[/C][C]3.301502715681[/C][C]0.00341682741977595[/C][/ROW]
[ROW][C]0.78[/C][C]3.30281928245688[/C][C]0.00603641953337214[/C][/ROW]
[ROW][C]0.79[/C][C]3.30506445550974[/C][C]0.0101449658217452[/C][/ROW]
[ROW][C]0.8[/C][C]3.30870495818016[/C][C]0.0161879801324663[/C][/ROW]
[ROW][C]0.81[/C][C]3.3143076439007[/C][C]0.0244790807661281[/C][/ROW]
[ROW][C]0.82[/C][C]3.32247507275018[/C][C]0.0349977506376451[/C][/ROW]
[ROW][C]0.83[/C][C]3.33372779182575[/C][C]0.0471914939557861[/C][/ROW]
[ROW][C]0.84[/C][C]3.34834357834497[/C][C]0.0598432079231572[/C][/ROW]
[ROW][C]0.85[/C][C]3.36618988486086[/C][C]0.0711363977566521[/C][/ROW]
[ROW][C]0.86[/C][C]3.38660900333275[/C][C]0.0789739242593164[/C][/ROW]
[ROW][C]0.87[/C][C]3.40842056462565[/C][C]0.0815334306237336[/C][/ROW]
[ROW][C]0.88[/C][C]3.43008009075029[/C][C]0.0778872515028232[/C][/ROW]
[ROW][C]0.89[/C][C]3.44997619880239[/C][C]0.0684427975861404[/C][/ROW]
[ROW][C]0.9[/C][C]3.4667836483775[/C][C]0.054935228069488[/C][/ROW]
[ROW][C]0.91[/C][C]3.47974974832062[/C][C]0.0399306440946323[/C][/ROW]
[ROW][C]0.92[/C][C]3.48880693967939[/C][C]0.0260061380989209[/C][/ROW]
[ROW][C]0.93[/C][C]3.49447542055998[/C][C]0.0149708773350724[/C][/ROW]
[ROW][C]0.94[/C][C]3.49761152420776[/C][C]0.00748360678493926[/C][/ROW]
[ROW][C]0.95[/C][C]3.49911844340936[/C][C]0.00316988964571108[/C][/ROW]
[ROW][C]0.96[/C][C]3.49973225350554[/C][C]0.00109766405207471[/C][/ROW]
[ROW][C]0.97[/C][C]3.49993684306607[/C][C]0.000293101215507266[/C][/ROW]
[ROW][C]0.98[/C][C]3.49998959364633[/C][C]5.42237248688441e-05[/C][/ROW]
[ROW][C]0.99[/C][C]3.49999907979118[/C][C]5.12927127137715e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233867&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233867&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
0.012.930070545049140.0694898168245951
0.022.96429554378560.0357641464187985
0.032.985882262845460.0142688609304882
0.042.995469112429740.00462302707490467
0.052.998778799487710.00125823418299357
0.062.999716586525910.000294946488879976
0.072.999942296866636.05441275097075e-05
0.082.999989565855861.10722723461333e-05
0.092.999998397959212.27361901192269e-06
0.13.000000125301882.03920146245897e-06
0.113.000001199301465.95863956619021e-06
0.123.000003672770781.78759186985706e-05
0.133.000010096002484.56829033407916e-05
0.143.000025695699650.000107255512191424
0.153.000060930811710.000238345582647608
0.163.00013522679030.000493573977399422
0.173.000282011901830.000956361650373529
0.183.00055461485130.00174071402636284
0.193.001031868570270.00298329220947257
0.23.001821524821930.00483821339545152
0.213.003059127668780.00742783168778415
0.223.004900190262550.0108252337766655
0.233.007504626393440.0150020093330209
0.243.011014368136610.0198058023584443
0.253.01552752014260.0249484080022083
0.263.021074495967540.0300387740162419
0.273.027602505180610.0346304240794453
0.283.034973924500560.0383094608328699
0.293.042981451510230.0407757620536759
0.33.05137909719860.0419159722782551
0.313.059924073312390.041848860909298
0.323.068421615223150.0409276847324975
0.333.076763592483040.0397143046284822
0.343.08495268184870.038901753360064
0.353.093106610410380.0392061988556525
0.363.101440807757840.0411728603856342
0.373.110231877565590.0450125089901347
0.383.119767834383620.0505251360622859
0.393.13029347773670.0571882343691189
0.43.141960244428750.0642619904291185
0.413.154789249292660.0709246754221336
0.423.1686540594730.0763587768090884
0.433.183286350385250.0798684309048093
0.443.19830352480350.0809700471472123
0.453.213253414440520.0794545694708786
0.463.227668165262520.0754108357747852
0.473.241118016835870.0692008449932297
0.483.253256233313440.0613818903809235
0.493.263848750759430.0526229915098456
0.53.27278554452720.0436008173074095
0.513.280074405019720.0349122855626915
0.523.285820866501280.0270138757390233
0.533.290199849792490.0201988329035992
0.543.293424947384110.0145915432634448
0.553.295720391126260.0101844292746175
0.563.297299065680720.00686677316463271
0.573.298348023020780.00447073516654636
0.583.299021290439940.00281119309676468
0.593.299438634908070.00170591004184186
0.63.299688426929250.000999607211622883
0.613.299832746510770.000566120589106811
0.623.299913211697950.000307322605515126
0.633.299956492609010.000161748739744803
0.643.299978947703938.19526948040336e-05
0.653.299990193931734.09763474020168e-05
0.663.299995668460521.94098487693764e-05
0.673.299998370143319.2344161197963e-06
0.683.300000020220255.47432953322822e-06
0.693.300001898474477.76519851934386e-06
0.73.300005637402181.79859811548599e-05
0.713.300014333998264.24996762485535e-05
0.723.300034500903719.89216602337022e-05
0.733.30007964135220.000219825911630449
0.743.300176562015010.000466030932656552
0.753.30037580062470.000948182432166004
0.763.300767448165780.00184287389250193
0.773.3015027156810.00341682741977595
0.783.302819282456880.00603641953337214
0.793.305064455509740.0101449658217452
0.83.308704958180160.0161879801324663
0.813.31430764390070.0244790807661281
0.823.322475072750180.0349977506376451
0.833.333727791825750.0471914939557861
0.843.348343578344970.0598432079231572
0.853.366189884860860.0711363977566521
0.863.386609003332750.0789739242593164
0.873.408420564625650.0815334306237336
0.883.430080090750290.0778872515028232
0.893.449976198802390.0684427975861404
0.93.46678364837750.054935228069488
0.913.479749748320620.0399306440946323
0.923.488806939679390.0260061380989209
0.933.494475420559980.0149708773350724
0.943.497611524207760.00748360678493926
0.953.499118443409360.00316988964571108
0.963.499732253505540.00109766405207471
0.973.499936843066070.000293101215507266
0.983.499989593646335.42237248688441e-05
0.993.499999079791185.12927127137715e-06


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')