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Description of Statistical Computation

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 computationMon, 27 Oct 2008 17:50:50 -0600
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/Oct/28/t1225151483ikczdzqbe5kpdue.htm/, Retrieved Sun, 19 May 2024 18:20:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19714, Retrieved Sun, 19 May 2024 18:20:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact186

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] [Q9] [2008-10-25 19:48:29] [547636b63517c1c2916a747d66b36ebf]
-    D    [Harrell-Davis Quantiles] [Q9] [2008-10-27 23:50:50] [9d7d6e0b01d5647e3f5dd21d8ef8600e] [Current]
-           [Harrell-Davis Quantiles] [Q9] [2008-10-28 07:10:31] [b641c14ac36cb6fee377f3b099dcac19]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.801436372
0.794342974
0.804556541
0.797974382
0.806258154
0.795928164
0.802332295
0.801606601
0.807037683
0.803076225
0.804393015
0.807301818
0.808027203
0.800229009
0.808509785
0.800325798
0.807645446
0.80786418
0.808666388
0.802791977
0.800359412
0.799730839
0.801718404
0.799291772
0.801021007
0.801659401
0.805503135
0.799406844
0.808443517
0.804831789
0.803233987
0.805097359
0.80437952
0.803316472
0.798539197
0.802931812
0.801783146
0.798432621
0.80330517
0.805041293
0.812081363
0.805661225
0.80766687
0.800146508
0.794631772
0.779255334
0.787085724
0.796983968
0.784993641
0.791351194
0.801584403
0.798306677
0.804015955
0.799435832
0.802081728
0.804415992
0.803388574
0.809403001
0.810105579
0.809638152
0.815049694
0.806282469
0.809343645
0.812189365
0.810648568
0.812905263
0.805557799
0.802747487
0.797009022
0.79778995
0.796891931
0.806596736
0.806241682

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'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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19714&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19714&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19714&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.781016500555230.00491479272482601
0.020.7835922026109650.0042686621792655
0.030.7861737481178620.00407789439670923
0.040.788446210800770.00400575846494385
0.050.7903744469901720.00375505131180892
0.060.7919819528658820.00331185504999299
0.070.793292513057480.00279024611655451
0.080.7943371756828010.00229813686899340
0.090.7951585594946120.00189062141219969
0.10.7958041502640210.00157567200961917
0.110.796317993441790.00134153205128986
0.120.7967362261209170.00117172577094729
0.130.7970863947145870.00105272106775922
0.140.7973886606381120.00097264544584838
0.150.7976574245466850.000920712033798843
0.160.797902753940220.000887695022119083
0.170.7981315128574230.00086663161455692
0.180.7983482500005730.000853232532491783
0.190.7985558988049420.000844192619098013
0.20.7987563177188560.000836517309696362
0.210.7989506918010540.000830421699092473
0.220.7991398190469620.000824423546329959
0.230.7993243037097930.000819001029076115
0.240.7995046727036370.00081430540814901
0.250.799681425673390.00081168514623982
0.260.7998550293105310.000809332945990996
0.270.8000258719417190.000808998707106972
0.280.8001942013287460.000809079747117643
0.290.800360072126670.000807694661581305
0.30.8005233264587330.000803986373056432
0.310.8006836214026320.00079614686276434
0.320.8008405033056290.000783599140287498
0.330.8009935147490170.000768539443684914
0.340.8011423097854640.000750170260596718
0.350.801286749736440.000731262270525875
0.360.8014269562905490.000713063770296756
0.370.8015633095362460.000697229023934894
0.380.8016963927023170.00068553704942621
0.390.8018268987255130.000679212263218449
0.40.8019555226513380.000675868784230308
0.410.8020828660692070.000675965735154718
0.420.8022093750522260.000675679312807724
0.430.8023353231036230.000676969656245019
0.440.8024608383924220.000676914359881538
0.450.8025859634399560.000675573833500281
0.460.8027107281782130.000674203889974948
0.470.8028352154835480.000671902072769421
0.480.802959601927890.000672615372374598
0.490.8030841642466160.000673831676662455
0.50.8032092516455620.000678160584334067
0.510.8033352330170190.000685109943659701
0.520.8034624342083090.000693297169379214
0.530.8035910823411930.000702681983101463
0.540.8037212716014250.000711043426052701
0.550.8038529588202860.000717856035853512
0.560.8039859893195670.0007229541972132
0.570.8041201460157990.000726643857214664
0.580.8042552095930770.0007275437693065
0.590.804391015850440.000727058925576363
0.60.8045274982880870.000726166118975164
0.610.8046647087806060.000725754300145183
0.620.8048028152360290.000726378847305133
0.630.8049420806596340.0007288068171728
0.640.8050828315205930.000732318101750277
0.650.805225423947420.000738055629747938
0.660.805370214139880.000744907465945104
0.670.805517535410360.000752579929486046
0.680.8056676799625780.000760771949628076
0.690.8058208805443750.000770289543634514
0.70.8059772868084790.000779375060673021
0.710.8061369341187940.000787610277774795
0.720.8062997080653870.000795719441455328
0.730.8064653143498030.000800683783403066
0.740.8066332684250740.000801989713148799
0.750.8068029197634220.000799566480698752
0.760.8069735203441260.00079183609218683
0.770.807144336289940.000779666312854237
0.780.807314788150720.00076267006157416
0.790.8074845934404560.000743981057958197
0.80.8076538793837360.000724984288197417
0.810.8078232380318950.000708967866157321
0.820.8079937113890630.000696738887808157
0.830.808166719658250.000690524215259389
0.840.8083439767303120.000690503703309942
0.850.8085274647354310.000695987952384748
0.860.8087195485166820.000706164822166634
0.870.8089232788042080.00072236998934262
0.880.8091428361477440.000747221293686931
0.890.8093839015851380.000785114986573195
0.90.8096535561297980.000841813536259119
0.910.8099592616848520.000918142372540461
0.920.8103068239274280.00100490082612356
0.930.8106982518275190.00107971588699409
0.940.8111320528935650.00111534362672225
0.950.811609651603860.00109657794406531
0.960.812148947256290.00105316322599375
0.970.8127933300231960.00108534639569303
0.980.8135802490203270.00132183917022157
0.990.8144319472722810.00174687760339084

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.78101650055523 & 0.00491479272482601 \tabularnewline
0.02 & 0.783592202610965 & 0.0042686621792655 \tabularnewline
0.03 & 0.786173748117862 & 0.00407789439670923 \tabularnewline
0.04 & 0.78844621080077 & 0.00400575846494385 \tabularnewline
0.05 & 0.790374446990172 & 0.00375505131180892 \tabularnewline
0.06 & 0.791981952865882 & 0.00331185504999299 \tabularnewline
0.07 & 0.79329251305748 & 0.00279024611655451 \tabularnewline
0.08 & 0.794337175682801 & 0.00229813686899340 \tabularnewline
0.09 & 0.795158559494612 & 0.00189062141219969 \tabularnewline
0.1 & 0.795804150264021 & 0.00157567200961917 \tabularnewline
0.11 & 0.79631799344179 & 0.00134153205128986 \tabularnewline
0.12 & 0.796736226120917 & 0.00117172577094729 \tabularnewline
0.13 & 0.797086394714587 & 0.00105272106775922 \tabularnewline
0.14 & 0.797388660638112 & 0.00097264544584838 \tabularnewline
0.15 & 0.797657424546685 & 0.000920712033798843 \tabularnewline
0.16 & 0.79790275394022 & 0.000887695022119083 \tabularnewline
0.17 & 0.798131512857423 & 0.00086663161455692 \tabularnewline
0.18 & 0.798348250000573 & 0.000853232532491783 \tabularnewline
0.19 & 0.798555898804942 & 0.000844192619098013 \tabularnewline
0.2 & 0.798756317718856 & 0.000836517309696362 \tabularnewline
0.21 & 0.798950691801054 & 0.000830421699092473 \tabularnewline
0.22 & 0.799139819046962 & 0.000824423546329959 \tabularnewline
0.23 & 0.799324303709793 & 0.000819001029076115 \tabularnewline
0.24 & 0.799504672703637 & 0.00081430540814901 \tabularnewline
0.25 & 0.79968142567339 & 0.00081168514623982 \tabularnewline
0.26 & 0.799855029310531 & 0.000809332945990996 \tabularnewline
0.27 & 0.800025871941719 & 0.000808998707106972 \tabularnewline
0.28 & 0.800194201328746 & 0.000809079747117643 \tabularnewline
0.29 & 0.80036007212667 & 0.000807694661581305 \tabularnewline
0.3 & 0.800523326458733 & 0.000803986373056432 \tabularnewline
0.31 & 0.800683621402632 & 0.00079614686276434 \tabularnewline
0.32 & 0.800840503305629 & 0.000783599140287498 \tabularnewline
0.33 & 0.800993514749017 & 0.000768539443684914 \tabularnewline
0.34 & 0.801142309785464 & 0.000750170260596718 \tabularnewline
0.35 & 0.80128674973644 & 0.000731262270525875 \tabularnewline
0.36 & 0.801426956290549 & 0.000713063770296756 \tabularnewline
0.37 & 0.801563309536246 & 0.000697229023934894 \tabularnewline
0.38 & 0.801696392702317 & 0.00068553704942621 \tabularnewline
0.39 & 0.801826898725513 & 0.000679212263218449 \tabularnewline
0.4 & 0.801955522651338 & 0.000675868784230308 \tabularnewline
0.41 & 0.802082866069207 & 0.000675965735154718 \tabularnewline
0.42 & 0.802209375052226 & 0.000675679312807724 \tabularnewline
0.43 & 0.802335323103623 & 0.000676969656245019 \tabularnewline
0.44 & 0.802460838392422 & 0.000676914359881538 \tabularnewline
0.45 & 0.802585963439956 & 0.000675573833500281 \tabularnewline
0.46 & 0.802710728178213 & 0.000674203889974948 \tabularnewline
0.47 & 0.802835215483548 & 0.000671902072769421 \tabularnewline
0.48 & 0.80295960192789 & 0.000672615372374598 \tabularnewline
0.49 & 0.803084164246616 & 0.000673831676662455 \tabularnewline
0.5 & 0.803209251645562 & 0.000678160584334067 \tabularnewline
0.51 & 0.803335233017019 & 0.000685109943659701 \tabularnewline
0.52 & 0.803462434208309 & 0.000693297169379214 \tabularnewline
0.53 & 0.803591082341193 & 0.000702681983101463 \tabularnewline
0.54 & 0.803721271601425 & 0.000711043426052701 \tabularnewline
0.55 & 0.803852958820286 & 0.000717856035853512 \tabularnewline
0.56 & 0.803985989319567 & 0.0007229541972132 \tabularnewline
0.57 & 0.804120146015799 & 0.000726643857214664 \tabularnewline
0.58 & 0.804255209593077 & 0.0007275437693065 \tabularnewline
0.59 & 0.80439101585044 & 0.000727058925576363 \tabularnewline
0.6 & 0.804527498288087 & 0.000726166118975164 \tabularnewline
0.61 & 0.804664708780606 & 0.000725754300145183 \tabularnewline
0.62 & 0.804802815236029 & 0.000726378847305133 \tabularnewline
0.63 & 0.804942080659634 & 0.0007288068171728 \tabularnewline
0.64 & 0.805082831520593 & 0.000732318101750277 \tabularnewline
0.65 & 0.80522542394742 & 0.000738055629747938 \tabularnewline
0.66 & 0.80537021413988 & 0.000744907465945104 \tabularnewline
0.67 & 0.80551753541036 & 0.000752579929486046 \tabularnewline
0.68 & 0.805667679962578 & 0.000760771949628076 \tabularnewline
0.69 & 0.805820880544375 & 0.000770289543634514 \tabularnewline
0.7 & 0.805977286808479 & 0.000779375060673021 \tabularnewline
0.71 & 0.806136934118794 & 0.000787610277774795 \tabularnewline
0.72 & 0.806299708065387 & 0.000795719441455328 \tabularnewline
0.73 & 0.806465314349803 & 0.000800683783403066 \tabularnewline
0.74 & 0.806633268425074 & 0.000801989713148799 \tabularnewline
0.75 & 0.806802919763422 & 0.000799566480698752 \tabularnewline
0.76 & 0.806973520344126 & 0.00079183609218683 \tabularnewline
0.77 & 0.80714433628994 & 0.000779666312854237 \tabularnewline
0.78 & 0.80731478815072 & 0.00076267006157416 \tabularnewline
0.79 & 0.807484593440456 & 0.000743981057958197 \tabularnewline
0.8 & 0.807653879383736 & 0.000724984288197417 \tabularnewline
0.81 & 0.807823238031895 & 0.000708967866157321 \tabularnewline
0.82 & 0.807993711389063 & 0.000696738887808157 \tabularnewline
0.83 & 0.80816671965825 & 0.000690524215259389 \tabularnewline
0.84 & 0.808343976730312 & 0.000690503703309942 \tabularnewline
0.85 & 0.808527464735431 & 0.000695987952384748 \tabularnewline
0.86 & 0.808719548516682 & 0.000706164822166634 \tabularnewline
0.87 & 0.808923278804208 & 0.00072236998934262 \tabularnewline
0.88 & 0.809142836147744 & 0.000747221293686931 \tabularnewline
0.89 & 0.809383901585138 & 0.000785114986573195 \tabularnewline
0.9 & 0.809653556129798 & 0.000841813536259119 \tabularnewline
0.91 & 0.809959261684852 & 0.000918142372540461 \tabularnewline
0.92 & 0.810306823927428 & 0.00100490082612356 \tabularnewline
0.93 & 0.810698251827519 & 0.00107971588699409 \tabularnewline
0.94 & 0.811132052893565 & 0.00111534362672225 \tabularnewline
0.95 & 0.81160965160386 & 0.00109657794406531 \tabularnewline
0.96 & 0.81214894725629 & 0.00105316322599375 \tabularnewline
0.97 & 0.812793330023196 & 0.00108534639569303 \tabularnewline
0.98 & 0.813580249020327 & 0.00132183917022157 \tabularnewline
0.99 & 0.814431947272281 & 0.00174687760339084 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19714&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]0.78101650055523[/C][C]0.00491479272482601[/C][/ROW]
[ROW][C]0.02[/C][C]0.783592202610965[/C][C]0.0042686621792655[/C][/ROW]
[ROW][C]0.03[/C][C]0.786173748117862[/C][C]0.00407789439670923[/C][/ROW]
[ROW][C]0.04[/C][C]0.78844621080077[/C][C]0.00400575846494385[/C][/ROW]
[ROW][C]0.05[/C][C]0.790374446990172[/C][C]0.00375505131180892[/C][/ROW]
[ROW][C]0.06[/C][C]0.791981952865882[/C][C]0.00331185504999299[/C][/ROW]
[ROW][C]0.07[/C][C]0.79329251305748[/C][C]0.00279024611655451[/C][/ROW]
[ROW][C]0.08[/C][C]0.794337175682801[/C][C]0.00229813686899340[/C][/ROW]
[ROW][C]0.09[/C][C]0.795158559494612[/C][C]0.00189062141219969[/C][/ROW]
[ROW][C]0.1[/C][C]0.795804150264021[/C][C]0.00157567200961917[/C][/ROW]
[ROW][C]0.11[/C][C]0.79631799344179[/C][C]0.00134153205128986[/C][/ROW]
[ROW][C]0.12[/C][C]0.796736226120917[/C][C]0.00117172577094729[/C][/ROW]
[ROW][C]0.13[/C][C]0.797086394714587[/C][C]0.00105272106775922[/C][/ROW]
[ROW][C]0.14[/C][C]0.797388660638112[/C][C]0.00097264544584838[/C][/ROW]
[ROW][C]0.15[/C][C]0.797657424546685[/C][C]0.000920712033798843[/C][/ROW]
[ROW][C]0.16[/C][C]0.79790275394022[/C][C]0.000887695022119083[/C][/ROW]
[ROW][C]0.17[/C][C]0.798131512857423[/C][C]0.00086663161455692[/C][/ROW]
[ROW][C]0.18[/C][C]0.798348250000573[/C][C]0.000853232532491783[/C][/ROW]
[ROW][C]0.19[/C][C]0.798555898804942[/C][C]0.000844192619098013[/C][/ROW]
[ROW][C]0.2[/C][C]0.798756317718856[/C][C]0.000836517309696362[/C][/ROW]
[ROW][C]0.21[/C][C]0.798950691801054[/C][C]0.000830421699092473[/C][/ROW]
[ROW][C]0.22[/C][C]0.799139819046962[/C][C]0.000824423546329959[/C][/ROW]
[ROW][C]0.23[/C][C]0.799324303709793[/C][C]0.000819001029076115[/C][/ROW]
[ROW][C]0.24[/C][C]0.799504672703637[/C][C]0.00081430540814901[/C][/ROW]
[ROW][C]0.25[/C][C]0.79968142567339[/C][C]0.00081168514623982[/C][/ROW]
[ROW][C]0.26[/C][C]0.799855029310531[/C][C]0.000809332945990996[/C][/ROW]
[ROW][C]0.27[/C][C]0.800025871941719[/C][C]0.000808998707106972[/C][/ROW]
[ROW][C]0.28[/C][C]0.800194201328746[/C][C]0.000809079747117643[/C][/ROW]
[ROW][C]0.29[/C][C]0.80036007212667[/C][C]0.000807694661581305[/C][/ROW]
[ROW][C]0.3[/C][C]0.800523326458733[/C][C]0.000803986373056432[/C][/ROW]
[ROW][C]0.31[/C][C]0.800683621402632[/C][C]0.00079614686276434[/C][/ROW]
[ROW][C]0.32[/C][C]0.800840503305629[/C][C]0.000783599140287498[/C][/ROW]
[ROW][C]0.33[/C][C]0.800993514749017[/C][C]0.000768539443684914[/C][/ROW]
[ROW][C]0.34[/C][C]0.801142309785464[/C][C]0.000750170260596718[/C][/ROW]
[ROW][C]0.35[/C][C]0.80128674973644[/C][C]0.000731262270525875[/C][/ROW]
[ROW][C]0.36[/C][C]0.801426956290549[/C][C]0.000713063770296756[/C][/ROW]
[ROW][C]0.37[/C][C]0.801563309536246[/C][C]0.000697229023934894[/C][/ROW]
[ROW][C]0.38[/C][C]0.801696392702317[/C][C]0.00068553704942621[/C][/ROW]
[ROW][C]0.39[/C][C]0.801826898725513[/C][C]0.000679212263218449[/C][/ROW]
[ROW][C]0.4[/C][C]0.801955522651338[/C][C]0.000675868784230308[/C][/ROW]
[ROW][C]0.41[/C][C]0.802082866069207[/C][C]0.000675965735154718[/C][/ROW]
[ROW][C]0.42[/C][C]0.802209375052226[/C][C]0.000675679312807724[/C][/ROW]
[ROW][C]0.43[/C][C]0.802335323103623[/C][C]0.000676969656245019[/C][/ROW]
[ROW][C]0.44[/C][C]0.802460838392422[/C][C]0.000676914359881538[/C][/ROW]
[ROW][C]0.45[/C][C]0.802585963439956[/C][C]0.000675573833500281[/C][/ROW]
[ROW][C]0.46[/C][C]0.802710728178213[/C][C]0.000674203889974948[/C][/ROW]
[ROW][C]0.47[/C][C]0.802835215483548[/C][C]0.000671902072769421[/C][/ROW]
[ROW][C]0.48[/C][C]0.80295960192789[/C][C]0.000672615372374598[/C][/ROW]
[ROW][C]0.49[/C][C]0.803084164246616[/C][C]0.000673831676662455[/C][/ROW]
[ROW][C]0.5[/C][C]0.803209251645562[/C][C]0.000678160584334067[/C][/ROW]
[ROW][C]0.51[/C][C]0.803335233017019[/C][C]0.000685109943659701[/C][/ROW]
[ROW][C]0.52[/C][C]0.803462434208309[/C][C]0.000693297169379214[/C][/ROW]
[ROW][C]0.53[/C][C]0.803591082341193[/C][C]0.000702681983101463[/C][/ROW]
[ROW][C]0.54[/C][C]0.803721271601425[/C][C]0.000711043426052701[/C][/ROW]
[ROW][C]0.55[/C][C]0.803852958820286[/C][C]0.000717856035853512[/C][/ROW]
[ROW][C]0.56[/C][C]0.803985989319567[/C][C]0.0007229541972132[/C][/ROW]
[ROW][C]0.57[/C][C]0.804120146015799[/C][C]0.000726643857214664[/C][/ROW]
[ROW][C]0.58[/C][C]0.804255209593077[/C][C]0.0007275437693065[/C][/ROW]
[ROW][C]0.59[/C][C]0.80439101585044[/C][C]0.000727058925576363[/C][/ROW]
[ROW][C]0.6[/C][C]0.804527498288087[/C][C]0.000726166118975164[/C][/ROW]
[ROW][C]0.61[/C][C]0.804664708780606[/C][C]0.000725754300145183[/C][/ROW]
[ROW][C]0.62[/C][C]0.804802815236029[/C][C]0.000726378847305133[/C][/ROW]
[ROW][C]0.63[/C][C]0.804942080659634[/C][C]0.0007288068171728[/C][/ROW]
[ROW][C]0.64[/C][C]0.805082831520593[/C][C]0.000732318101750277[/C][/ROW]
[ROW][C]0.65[/C][C]0.80522542394742[/C][C]0.000738055629747938[/C][/ROW]
[ROW][C]0.66[/C][C]0.80537021413988[/C][C]0.000744907465945104[/C][/ROW]
[ROW][C]0.67[/C][C]0.80551753541036[/C][C]0.000752579929486046[/C][/ROW]
[ROW][C]0.68[/C][C]0.805667679962578[/C][C]0.000760771949628076[/C][/ROW]
[ROW][C]0.69[/C][C]0.805820880544375[/C][C]0.000770289543634514[/C][/ROW]
[ROW][C]0.7[/C][C]0.805977286808479[/C][C]0.000779375060673021[/C][/ROW]
[ROW][C]0.71[/C][C]0.806136934118794[/C][C]0.000787610277774795[/C][/ROW]
[ROW][C]0.72[/C][C]0.806299708065387[/C][C]0.000795719441455328[/C][/ROW]
[ROW][C]0.73[/C][C]0.806465314349803[/C][C]0.000800683783403066[/C][/ROW]
[ROW][C]0.74[/C][C]0.806633268425074[/C][C]0.000801989713148799[/C][/ROW]
[ROW][C]0.75[/C][C]0.806802919763422[/C][C]0.000799566480698752[/C][/ROW]
[ROW][C]0.76[/C][C]0.806973520344126[/C][C]0.00079183609218683[/C][/ROW]
[ROW][C]0.77[/C][C]0.80714433628994[/C][C]0.000779666312854237[/C][/ROW]
[ROW][C]0.78[/C][C]0.80731478815072[/C][C]0.00076267006157416[/C][/ROW]
[ROW][C]0.79[/C][C]0.807484593440456[/C][C]0.000743981057958197[/C][/ROW]
[ROW][C]0.8[/C][C]0.807653879383736[/C][C]0.000724984288197417[/C][/ROW]
[ROW][C]0.81[/C][C]0.807823238031895[/C][C]0.000708967866157321[/C][/ROW]
[ROW][C]0.82[/C][C]0.807993711389063[/C][C]0.000696738887808157[/C][/ROW]
[ROW][C]0.83[/C][C]0.80816671965825[/C][C]0.000690524215259389[/C][/ROW]
[ROW][C]0.84[/C][C]0.808343976730312[/C][C]0.000690503703309942[/C][/ROW]
[ROW][C]0.85[/C][C]0.808527464735431[/C][C]0.000695987952384748[/C][/ROW]
[ROW][C]0.86[/C][C]0.808719548516682[/C][C]0.000706164822166634[/C][/ROW]
[ROW][C]0.87[/C][C]0.808923278804208[/C][C]0.00072236998934262[/C][/ROW]
[ROW][C]0.88[/C][C]0.809142836147744[/C][C]0.000747221293686931[/C][/ROW]
[ROW][C]0.89[/C][C]0.809383901585138[/C][C]0.000785114986573195[/C][/ROW]
[ROW][C]0.9[/C][C]0.809653556129798[/C][C]0.000841813536259119[/C][/ROW]
[ROW][C]0.91[/C][C]0.809959261684852[/C][C]0.000918142372540461[/C][/ROW]
[ROW][C]0.92[/C][C]0.810306823927428[/C][C]0.00100490082612356[/C][/ROW]
[ROW][C]0.93[/C][C]0.810698251827519[/C][C]0.00107971588699409[/C][/ROW]
[ROW][C]0.94[/C][C]0.811132052893565[/C][C]0.00111534362672225[/C][/ROW]
[ROW][C]0.95[/C][C]0.81160965160386[/C][C]0.00109657794406531[/C][/ROW]
[ROW][C]0.96[/C][C]0.81214894725629[/C][C]0.00105316322599375[/C][/ROW]
[ROW][C]0.97[/C][C]0.812793330023196[/C][C]0.00108534639569303[/C][/ROW]
[ROW][C]0.98[/C][C]0.813580249020327[/C][C]0.00132183917022157[/C][/ROW]
[ROW][C]0.99[/C][C]0.814431947272281[/C][C]0.00174687760339084[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19714&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19714&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
0.010.781016500555230.00491479272482601
0.020.7835922026109650.0042686621792655
0.030.7861737481178620.00407789439670923
0.040.788446210800770.00400575846494385
0.050.7903744469901720.00375505131180892
0.060.7919819528658820.00331185504999299
0.070.793292513057480.00279024611655451
0.080.7943371756828010.00229813686899340
0.090.7951585594946120.00189062141219969
0.10.7958041502640210.00157567200961917
0.110.796317993441790.00134153205128986
0.120.7967362261209170.00117172577094729
0.130.7970863947145870.00105272106775922
0.140.7973886606381120.00097264544584838
0.150.7976574245466850.000920712033798843
0.160.797902753940220.000887695022119083
0.170.7981315128574230.00086663161455692
0.180.7983482500005730.000853232532491783
0.190.7985558988049420.000844192619098013
0.20.7987563177188560.000836517309696362
0.210.7989506918010540.000830421699092473
0.220.7991398190469620.000824423546329959
0.230.7993243037097930.000819001029076115
0.240.7995046727036370.00081430540814901
0.250.799681425673390.00081168514623982
0.260.7998550293105310.000809332945990996
0.270.8000258719417190.000808998707106972
0.280.8001942013287460.000809079747117643
0.290.800360072126670.000807694661581305
0.30.8005233264587330.000803986373056432
0.310.8006836214026320.00079614686276434
0.320.8008405033056290.000783599140287498
0.330.8009935147490170.000768539443684914
0.340.8011423097854640.000750170260596718
0.350.801286749736440.000731262270525875
0.360.8014269562905490.000713063770296756
0.370.8015633095362460.000697229023934894
0.380.8016963927023170.00068553704942621
0.390.8018268987255130.000679212263218449
0.40.8019555226513380.000675868784230308
0.410.8020828660692070.000675965735154718
0.420.8022093750522260.000675679312807724
0.430.8023353231036230.000676969656245019
0.440.8024608383924220.000676914359881538
0.450.8025859634399560.000675573833500281
0.460.8027107281782130.000674203889974948
0.470.8028352154835480.000671902072769421
0.480.802959601927890.000672615372374598
0.490.8030841642466160.000673831676662455
0.50.8032092516455620.000678160584334067
0.510.8033352330170190.000685109943659701
0.520.8034624342083090.000693297169379214
0.530.8035910823411930.000702681983101463
0.540.8037212716014250.000711043426052701
0.550.8038529588202860.000717856035853512
0.560.8039859893195670.0007229541972132
0.570.8041201460157990.000726643857214664
0.580.8042552095930770.0007275437693065
0.590.804391015850440.000727058925576363
0.60.8045274982880870.000726166118975164
0.610.8046647087806060.000725754300145183
0.620.8048028152360290.000726378847305133
0.630.8049420806596340.0007288068171728
0.640.8050828315205930.000732318101750277
0.650.805225423947420.000738055629747938
0.660.805370214139880.000744907465945104
0.670.805517535410360.000752579929486046
0.680.8056676799625780.000760771949628076
0.690.8058208805443750.000770289543634514
0.70.8059772868084790.000779375060673021
0.710.8061369341187940.000787610277774795
0.720.8062997080653870.000795719441455328
0.730.8064653143498030.000800683783403066
0.740.8066332684250740.000801989713148799
0.750.8068029197634220.000799566480698752
0.760.8069735203441260.00079183609218683
0.770.807144336289940.000779666312854237
0.780.807314788150720.00076267006157416
0.790.8074845934404560.000743981057958197
0.80.8076538793837360.000724984288197417
0.810.8078232380318950.000708967866157321
0.820.8079937113890630.000696738887808157
0.830.808166719658250.000690524215259389
0.840.8083439767303120.000690503703309942
0.850.8085274647354310.000695987952384748
0.860.8087195485166820.000706164822166634
0.870.8089232788042080.00072236998934262
0.880.8091428361477440.000747221293686931
0.890.8093839015851380.000785114986573195
0.90.8096535561297980.000841813536259119
0.910.8099592616848520.000918142372540461
0.920.8103068239274280.00100490082612356
0.930.8106982518275190.00107971588699409
0.940.8111320528935650.00111534362672225
0.950.811609651603860.00109657794406531
0.960.812148947256290.00105316322599375
0.970.8127933300231960.00108534639569303
0.980.8135802490203270.00132183917022157
0.990.8144319472722810.00174687760339084


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')