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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, 03 Oct 2013 17:43:43 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/03/t13808366384w7fp3yaq079u0n.htm/, Retrieved Thu, 02 May 2024 00:40:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213051, Retrieved Thu, 02 May 2024 00:40:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact86

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] [] [2013-10-03 21:43:43] [f3e37d24265d1c1b6ba14664c97da4c0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.31
1.32
1.32
1.33
1.33
1.33
1.34
1.33
1.32
1.31
1.31
1.33
1.34
1.33
1.33
1.34
1.34
1.34
1.35
1.35
1.35
1.34
1.35
1.36
1.35
1.36
1.36
1.36
1.37
1.39
1.39
1.38
1.37
1.39
1.38
1.4
1.41
1.4
1.42
1.43
1.44
1.44
1.44
1.46
1.46
1.49
1.49
1.48
1.49
1.5
1.5
1.5
1.47
1.49
1.49
1.5
1.52
1.52
1.52
1.52
1.53
1.54
1.51
1.49
1.49
1.49
1.48
1.49
1.49
1.47
1.49
1.49

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'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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213051&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213051&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213051&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.310264523706590.000900441957409269
0.021.311061534708250.00255682907618002
0.031.312508274567490.00424411651546035
0.041.314490748446940.00534666077295226
0.051.316759825776840.00576758769785239
0.061.319070865038110.00575532064574272
0.071.321260440242740.00555286675347876
0.081.32324779168050.00523720438660782
0.091.325004389778320.00480640890375716
0.11.326529819697750.00429292171806035
0.111.327843585512480.00379588726926776
0.121.328984107092250.00344708882694694
0.131.330005027707790.00334594877429602
0.141.33096599969670.00350157698154951
0.151.331921104890110.00383383657834735
0.161.332909626313260.0042378810488588
0.171.333952136496610.00462696092339592
0.181.335052160579920.00494586078849954
0.191.336201655763250.00517980218282998
0.21.337387779779120.00534520376153357
0.211.338598727577910.00547387699529304
0.221.339827331371450.00560266864079922
0.231.341072164304830.00576277660835279
0.241.342336704117950.0059655164140058
0.251.343627517339150.00621177504373405
0.261.344952409445440.00649497872180964
0.271.346319176752440.00680620174048331
0.281.347735175913530.00714437973537814
0.291.349207565246360.00751489651286425
0.31.350743869211850.00792476489332387
0.311.352352491337750.00838533752138108
0.321.354042906300110.00890692211017922
0.331.3558254258040.00949113726121022
0.341.357710588893510.0101382573042219
0.351.359708334940750.01083984441252
0.361.361827164809790.0115822788510158
0.371.364073489781220.012350389714564
0.381.36645132306140.013129754858262
0.391.368962398322890.0139031402718952
0.41.37160671411690.0146647468665562
0.411.374383412471480.0154085910280559
0.421.377291818068560.0161432693522665
0.431.380332408234920.0168797429510808
0.441.38350747072070.0176334133523354
0.451.386821246686840.0184212831134809
0.461.390279449034960.0192533623990528
0.471.39388817489970.0201273081756285
0.481.397652367103540.0210320332998748
0.491.401574088714020.0219404744558096
0.51.405650928047520.0228176836491833
0.511.40987483254090.0236247494688836
0.521.414231581776050.0243188140599199
0.531.418700974232120.0248686119899936
0.541.42325765354940.0252473921353702
0.551.427872375753750.0254397904717688
0.561.432513448924860.025441629412153
0.571.437148075344440.0252545802625645
0.581.441743388532230.0248884916379003
0.591.446267082942090.0243504252097887
0.61.450687652754360.0236485413134975
0.611.454974358632420.0227897233487732
0.621.459097105790290.0217780891146142
0.631.463026433350050.0206188622285242
0.641.466733785524570.0193173133882642
0.651.470192169923550.0178846649294926
0.661.473377221972250.0163383785620447
0.671.476268603072970.0147021532554036
0.681.478851579449570.0130090437599918
0.691.481118573209260.0112982525625539
0.71.48307045912130.00961534377285251
0.711.484717406539740.00800738780493706
0.721.486079132902220.00652020639431393
0.731.487184528148090.00519450435562199
0.741.488070702035390.00406656508872498
0.751.488781568914620.00316240608127353
0.761.489366096616640.00250599475893721
0.771.489876310866410.00212186312474726
0.781.49036509841960.00202721597709867
0.791.490883848815030.00220470071872198
0.81.491480068960630.00259529282472373
0.811.49219529888370.00313395935148691
0.821.493063859684170.00376215487155919
0.831.494112985654760.00443182741893416
0.841.495364510391240.00511265515327785
0.851.496837394787120.00579567717918932
0.861.498549228086360.00649288912710392
0.871.500514064555410.00721426558537891
0.881.50273454515790.00793224645495759
0.891.505188973023840.00855461492950071
0.91.507818686938550.00891958282491796
0.911.510525927760940.00885461842555381
0.921.513194064071440.00825937944606517
0.931.515736761772420.00720866050522627
0.941.518168473016120.00601952391882515
0.951.520667514966110.00527436457370372
0.961.523580409837960.00556432354088359
0.971.52729580541070.00678743885871052
0.981.531909974736230.00820229575916218
0.991.536712693843980.0092614828000205

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.31026452370659 & 0.000900441957409269 \tabularnewline
0.02 & 1.31106153470825 & 0.00255682907618002 \tabularnewline
0.03 & 1.31250827456749 & 0.00424411651546035 \tabularnewline
0.04 & 1.31449074844694 & 0.00534666077295226 \tabularnewline
0.05 & 1.31675982577684 & 0.00576758769785239 \tabularnewline
0.06 & 1.31907086503811 & 0.00575532064574272 \tabularnewline
0.07 & 1.32126044024274 & 0.00555286675347876 \tabularnewline
0.08 & 1.3232477916805 & 0.00523720438660782 \tabularnewline
0.09 & 1.32500438977832 & 0.00480640890375716 \tabularnewline
0.1 & 1.32652981969775 & 0.00429292171806035 \tabularnewline
0.11 & 1.32784358551248 & 0.00379588726926776 \tabularnewline
0.12 & 1.32898410709225 & 0.00344708882694694 \tabularnewline
0.13 & 1.33000502770779 & 0.00334594877429602 \tabularnewline
0.14 & 1.3309659996967 & 0.00350157698154951 \tabularnewline
0.15 & 1.33192110489011 & 0.00383383657834735 \tabularnewline
0.16 & 1.33290962631326 & 0.0042378810488588 \tabularnewline
0.17 & 1.33395213649661 & 0.00462696092339592 \tabularnewline
0.18 & 1.33505216057992 & 0.00494586078849954 \tabularnewline
0.19 & 1.33620165576325 & 0.00517980218282998 \tabularnewline
0.2 & 1.33738777977912 & 0.00534520376153357 \tabularnewline
0.21 & 1.33859872757791 & 0.00547387699529304 \tabularnewline
0.22 & 1.33982733137145 & 0.00560266864079922 \tabularnewline
0.23 & 1.34107216430483 & 0.00576277660835279 \tabularnewline
0.24 & 1.34233670411795 & 0.0059655164140058 \tabularnewline
0.25 & 1.34362751733915 & 0.00621177504373405 \tabularnewline
0.26 & 1.34495240944544 & 0.00649497872180964 \tabularnewline
0.27 & 1.34631917675244 & 0.00680620174048331 \tabularnewline
0.28 & 1.34773517591353 & 0.00714437973537814 \tabularnewline
0.29 & 1.34920756524636 & 0.00751489651286425 \tabularnewline
0.3 & 1.35074386921185 & 0.00792476489332387 \tabularnewline
0.31 & 1.35235249133775 & 0.00838533752138108 \tabularnewline
0.32 & 1.35404290630011 & 0.00890692211017922 \tabularnewline
0.33 & 1.355825425804 & 0.00949113726121022 \tabularnewline
0.34 & 1.35771058889351 & 0.0101382573042219 \tabularnewline
0.35 & 1.35970833494075 & 0.01083984441252 \tabularnewline
0.36 & 1.36182716480979 & 0.0115822788510158 \tabularnewline
0.37 & 1.36407348978122 & 0.012350389714564 \tabularnewline
0.38 & 1.3664513230614 & 0.013129754858262 \tabularnewline
0.39 & 1.36896239832289 & 0.0139031402718952 \tabularnewline
0.4 & 1.3716067141169 & 0.0146647468665562 \tabularnewline
0.41 & 1.37438341247148 & 0.0154085910280559 \tabularnewline
0.42 & 1.37729181806856 & 0.0161432693522665 \tabularnewline
0.43 & 1.38033240823492 & 0.0168797429510808 \tabularnewline
0.44 & 1.3835074707207 & 0.0176334133523354 \tabularnewline
0.45 & 1.38682124668684 & 0.0184212831134809 \tabularnewline
0.46 & 1.39027944903496 & 0.0192533623990528 \tabularnewline
0.47 & 1.3938881748997 & 0.0201273081756285 \tabularnewline
0.48 & 1.39765236710354 & 0.0210320332998748 \tabularnewline
0.49 & 1.40157408871402 & 0.0219404744558096 \tabularnewline
0.5 & 1.40565092804752 & 0.0228176836491833 \tabularnewline
0.51 & 1.4098748325409 & 0.0236247494688836 \tabularnewline
0.52 & 1.41423158177605 & 0.0243188140599199 \tabularnewline
0.53 & 1.41870097423212 & 0.0248686119899936 \tabularnewline
0.54 & 1.4232576535494 & 0.0252473921353702 \tabularnewline
0.55 & 1.42787237575375 & 0.0254397904717688 \tabularnewline
0.56 & 1.43251344892486 & 0.025441629412153 \tabularnewline
0.57 & 1.43714807534444 & 0.0252545802625645 \tabularnewline
0.58 & 1.44174338853223 & 0.0248884916379003 \tabularnewline
0.59 & 1.44626708294209 & 0.0243504252097887 \tabularnewline
0.6 & 1.45068765275436 & 0.0236485413134975 \tabularnewline
0.61 & 1.45497435863242 & 0.0227897233487732 \tabularnewline
0.62 & 1.45909710579029 & 0.0217780891146142 \tabularnewline
0.63 & 1.46302643335005 & 0.0206188622285242 \tabularnewline
0.64 & 1.46673378552457 & 0.0193173133882642 \tabularnewline
0.65 & 1.47019216992355 & 0.0178846649294926 \tabularnewline
0.66 & 1.47337722197225 & 0.0163383785620447 \tabularnewline
0.67 & 1.47626860307297 & 0.0147021532554036 \tabularnewline
0.68 & 1.47885157944957 & 0.0130090437599918 \tabularnewline
0.69 & 1.48111857320926 & 0.0112982525625539 \tabularnewline
0.7 & 1.4830704591213 & 0.00961534377285251 \tabularnewline
0.71 & 1.48471740653974 & 0.00800738780493706 \tabularnewline
0.72 & 1.48607913290222 & 0.00652020639431393 \tabularnewline
0.73 & 1.48718452814809 & 0.00519450435562199 \tabularnewline
0.74 & 1.48807070203539 & 0.00406656508872498 \tabularnewline
0.75 & 1.48878156891462 & 0.00316240608127353 \tabularnewline
0.76 & 1.48936609661664 & 0.00250599475893721 \tabularnewline
0.77 & 1.48987631086641 & 0.00212186312474726 \tabularnewline
0.78 & 1.4903650984196 & 0.00202721597709867 \tabularnewline
0.79 & 1.49088384881503 & 0.00220470071872198 \tabularnewline
0.8 & 1.49148006896063 & 0.00259529282472373 \tabularnewline
0.81 & 1.4921952988837 & 0.00313395935148691 \tabularnewline
0.82 & 1.49306385968417 & 0.00376215487155919 \tabularnewline
0.83 & 1.49411298565476 & 0.00443182741893416 \tabularnewline
0.84 & 1.49536451039124 & 0.00511265515327785 \tabularnewline
0.85 & 1.49683739478712 & 0.00579567717918932 \tabularnewline
0.86 & 1.49854922808636 & 0.00649288912710392 \tabularnewline
0.87 & 1.50051406455541 & 0.00721426558537891 \tabularnewline
0.88 & 1.5027345451579 & 0.00793224645495759 \tabularnewline
0.89 & 1.50518897302384 & 0.00855461492950071 \tabularnewline
0.9 & 1.50781868693855 & 0.00891958282491796 \tabularnewline
0.91 & 1.51052592776094 & 0.00885461842555381 \tabularnewline
0.92 & 1.51319406407144 & 0.00825937944606517 \tabularnewline
0.93 & 1.51573676177242 & 0.00720866050522627 \tabularnewline
0.94 & 1.51816847301612 & 0.00601952391882515 \tabularnewline
0.95 & 1.52066751496611 & 0.00527436457370372 \tabularnewline
0.96 & 1.52358040983796 & 0.00556432354088359 \tabularnewline
0.97 & 1.5272958054107 & 0.00678743885871052 \tabularnewline
0.98 & 1.53190997473623 & 0.00820229575916218 \tabularnewline
0.99 & 1.53671269384398 & 0.0092614828000205 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213051&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]1.31026452370659[/C][C]0.000900441957409269[/C][/ROW]
[ROW][C]0.02[/C][C]1.31106153470825[/C][C]0.00255682907618002[/C][/ROW]
[ROW][C]0.03[/C][C]1.31250827456749[/C][C]0.00424411651546035[/C][/ROW]
[ROW][C]0.04[/C][C]1.31449074844694[/C][C]0.00534666077295226[/C][/ROW]
[ROW][C]0.05[/C][C]1.31675982577684[/C][C]0.00576758769785239[/C][/ROW]
[ROW][C]0.06[/C][C]1.31907086503811[/C][C]0.00575532064574272[/C][/ROW]
[ROW][C]0.07[/C][C]1.32126044024274[/C][C]0.00555286675347876[/C][/ROW]
[ROW][C]0.08[/C][C]1.3232477916805[/C][C]0.00523720438660782[/C][/ROW]
[ROW][C]0.09[/C][C]1.32500438977832[/C][C]0.00480640890375716[/C][/ROW]
[ROW][C]0.1[/C][C]1.32652981969775[/C][C]0.00429292171806035[/C][/ROW]
[ROW][C]0.11[/C][C]1.32784358551248[/C][C]0.00379588726926776[/C][/ROW]
[ROW][C]0.12[/C][C]1.32898410709225[/C][C]0.00344708882694694[/C][/ROW]
[ROW][C]0.13[/C][C]1.33000502770779[/C][C]0.00334594877429602[/C][/ROW]
[ROW][C]0.14[/C][C]1.3309659996967[/C][C]0.00350157698154951[/C][/ROW]
[ROW][C]0.15[/C][C]1.33192110489011[/C][C]0.00383383657834735[/C][/ROW]
[ROW][C]0.16[/C][C]1.33290962631326[/C][C]0.0042378810488588[/C][/ROW]
[ROW][C]0.17[/C][C]1.33395213649661[/C][C]0.00462696092339592[/C][/ROW]
[ROW][C]0.18[/C][C]1.33505216057992[/C][C]0.00494586078849954[/C][/ROW]
[ROW][C]0.19[/C][C]1.33620165576325[/C][C]0.00517980218282998[/C][/ROW]
[ROW][C]0.2[/C][C]1.33738777977912[/C][C]0.00534520376153357[/C][/ROW]
[ROW][C]0.21[/C][C]1.33859872757791[/C][C]0.00547387699529304[/C][/ROW]
[ROW][C]0.22[/C][C]1.33982733137145[/C][C]0.00560266864079922[/C][/ROW]
[ROW][C]0.23[/C][C]1.34107216430483[/C][C]0.00576277660835279[/C][/ROW]
[ROW][C]0.24[/C][C]1.34233670411795[/C][C]0.0059655164140058[/C][/ROW]
[ROW][C]0.25[/C][C]1.34362751733915[/C][C]0.00621177504373405[/C][/ROW]
[ROW][C]0.26[/C][C]1.34495240944544[/C][C]0.00649497872180964[/C][/ROW]
[ROW][C]0.27[/C][C]1.34631917675244[/C][C]0.00680620174048331[/C][/ROW]
[ROW][C]0.28[/C][C]1.34773517591353[/C][C]0.00714437973537814[/C][/ROW]
[ROW][C]0.29[/C][C]1.34920756524636[/C][C]0.00751489651286425[/C][/ROW]
[ROW][C]0.3[/C][C]1.35074386921185[/C][C]0.00792476489332387[/C][/ROW]
[ROW][C]0.31[/C][C]1.35235249133775[/C][C]0.00838533752138108[/C][/ROW]
[ROW][C]0.32[/C][C]1.35404290630011[/C][C]0.00890692211017922[/C][/ROW]
[ROW][C]0.33[/C][C]1.355825425804[/C][C]0.00949113726121022[/C][/ROW]
[ROW][C]0.34[/C][C]1.35771058889351[/C][C]0.0101382573042219[/C][/ROW]
[ROW][C]0.35[/C][C]1.35970833494075[/C][C]0.01083984441252[/C][/ROW]
[ROW][C]0.36[/C][C]1.36182716480979[/C][C]0.0115822788510158[/C][/ROW]
[ROW][C]0.37[/C][C]1.36407348978122[/C][C]0.012350389714564[/C][/ROW]
[ROW][C]0.38[/C][C]1.3664513230614[/C][C]0.013129754858262[/C][/ROW]
[ROW][C]0.39[/C][C]1.36896239832289[/C][C]0.0139031402718952[/C][/ROW]
[ROW][C]0.4[/C][C]1.3716067141169[/C][C]0.0146647468665562[/C][/ROW]
[ROW][C]0.41[/C][C]1.37438341247148[/C][C]0.0154085910280559[/C][/ROW]
[ROW][C]0.42[/C][C]1.37729181806856[/C][C]0.0161432693522665[/C][/ROW]
[ROW][C]0.43[/C][C]1.38033240823492[/C][C]0.0168797429510808[/C][/ROW]
[ROW][C]0.44[/C][C]1.3835074707207[/C][C]0.0176334133523354[/C][/ROW]
[ROW][C]0.45[/C][C]1.38682124668684[/C][C]0.0184212831134809[/C][/ROW]
[ROW][C]0.46[/C][C]1.39027944903496[/C][C]0.0192533623990528[/C][/ROW]
[ROW][C]0.47[/C][C]1.3938881748997[/C][C]0.0201273081756285[/C][/ROW]
[ROW][C]0.48[/C][C]1.39765236710354[/C][C]0.0210320332998748[/C][/ROW]
[ROW][C]0.49[/C][C]1.40157408871402[/C][C]0.0219404744558096[/C][/ROW]
[ROW][C]0.5[/C][C]1.40565092804752[/C][C]0.0228176836491833[/C][/ROW]
[ROW][C]0.51[/C][C]1.4098748325409[/C][C]0.0236247494688836[/C][/ROW]
[ROW][C]0.52[/C][C]1.41423158177605[/C][C]0.0243188140599199[/C][/ROW]
[ROW][C]0.53[/C][C]1.41870097423212[/C][C]0.0248686119899936[/C][/ROW]
[ROW][C]0.54[/C][C]1.4232576535494[/C][C]0.0252473921353702[/C][/ROW]
[ROW][C]0.55[/C][C]1.42787237575375[/C][C]0.0254397904717688[/C][/ROW]
[ROW][C]0.56[/C][C]1.43251344892486[/C][C]0.025441629412153[/C][/ROW]
[ROW][C]0.57[/C][C]1.43714807534444[/C][C]0.0252545802625645[/C][/ROW]
[ROW][C]0.58[/C][C]1.44174338853223[/C][C]0.0248884916379003[/C][/ROW]
[ROW][C]0.59[/C][C]1.44626708294209[/C][C]0.0243504252097887[/C][/ROW]
[ROW][C]0.6[/C][C]1.45068765275436[/C][C]0.0236485413134975[/C][/ROW]
[ROW][C]0.61[/C][C]1.45497435863242[/C][C]0.0227897233487732[/C][/ROW]
[ROW][C]0.62[/C][C]1.45909710579029[/C][C]0.0217780891146142[/C][/ROW]
[ROW][C]0.63[/C][C]1.46302643335005[/C][C]0.0206188622285242[/C][/ROW]
[ROW][C]0.64[/C][C]1.46673378552457[/C][C]0.0193173133882642[/C][/ROW]
[ROW][C]0.65[/C][C]1.47019216992355[/C][C]0.0178846649294926[/C][/ROW]
[ROW][C]0.66[/C][C]1.47337722197225[/C][C]0.0163383785620447[/C][/ROW]
[ROW][C]0.67[/C][C]1.47626860307297[/C][C]0.0147021532554036[/C][/ROW]
[ROW][C]0.68[/C][C]1.47885157944957[/C][C]0.0130090437599918[/C][/ROW]
[ROW][C]0.69[/C][C]1.48111857320926[/C][C]0.0112982525625539[/C][/ROW]
[ROW][C]0.7[/C][C]1.4830704591213[/C][C]0.00961534377285251[/C][/ROW]
[ROW][C]0.71[/C][C]1.48471740653974[/C][C]0.00800738780493706[/C][/ROW]
[ROW][C]0.72[/C][C]1.48607913290222[/C][C]0.00652020639431393[/C][/ROW]
[ROW][C]0.73[/C][C]1.48718452814809[/C][C]0.00519450435562199[/C][/ROW]
[ROW][C]0.74[/C][C]1.48807070203539[/C][C]0.00406656508872498[/C][/ROW]
[ROW][C]0.75[/C][C]1.48878156891462[/C][C]0.00316240608127353[/C][/ROW]
[ROW][C]0.76[/C][C]1.48936609661664[/C][C]0.00250599475893721[/C][/ROW]
[ROW][C]0.77[/C][C]1.48987631086641[/C][C]0.00212186312474726[/C][/ROW]
[ROW][C]0.78[/C][C]1.4903650984196[/C][C]0.00202721597709867[/C][/ROW]
[ROW][C]0.79[/C][C]1.49088384881503[/C][C]0.00220470071872198[/C][/ROW]
[ROW][C]0.8[/C][C]1.49148006896063[/C][C]0.00259529282472373[/C][/ROW]
[ROW][C]0.81[/C][C]1.4921952988837[/C][C]0.00313395935148691[/C][/ROW]
[ROW][C]0.82[/C][C]1.49306385968417[/C][C]0.00376215487155919[/C][/ROW]
[ROW][C]0.83[/C][C]1.49411298565476[/C][C]0.00443182741893416[/C][/ROW]
[ROW][C]0.84[/C][C]1.49536451039124[/C][C]0.00511265515327785[/C][/ROW]
[ROW][C]0.85[/C][C]1.49683739478712[/C][C]0.00579567717918932[/C][/ROW]
[ROW][C]0.86[/C][C]1.49854922808636[/C][C]0.00649288912710392[/C][/ROW]
[ROW][C]0.87[/C][C]1.50051406455541[/C][C]0.00721426558537891[/C][/ROW]
[ROW][C]0.88[/C][C]1.5027345451579[/C][C]0.00793224645495759[/C][/ROW]
[ROW][C]0.89[/C][C]1.50518897302384[/C][C]0.00855461492950071[/C][/ROW]
[ROW][C]0.9[/C][C]1.50781868693855[/C][C]0.00891958282491796[/C][/ROW]
[ROW][C]0.91[/C][C]1.51052592776094[/C][C]0.00885461842555381[/C][/ROW]
[ROW][C]0.92[/C][C]1.51319406407144[/C][C]0.00825937944606517[/C][/ROW]
[ROW][C]0.93[/C][C]1.51573676177242[/C][C]0.00720866050522627[/C][/ROW]
[ROW][C]0.94[/C][C]1.51816847301612[/C][C]0.00601952391882515[/C][/ROW]
[ROW][C]0.95[/C][C]1.52066751496611[/C][C]0.00527436457370372[/C][/ROW]
[ROW][C]0.96[/C][C]1.52358040983796[/C][C]0.00556432354088359[/C][/ROW]
[ROW][C]0.97[/C][C]1.5272958054107[/C][C]0.00678743885871052[/C][/ROW]
[ROW][C]0.98[/C][C]1.53190997473623[/C][C]0.00820229575916218[/C][/ROW]
[ROW][C]0.99[/C][C]1.53671269384398[/C][C]0.0092614828000205[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213051&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213051&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
0.011.310264523706590.000900441957409269
0.021.311061534708250.00255682907618002
0.031.312508274567490.00424411651546035
0.041.314490748446940.00534666077295226
0.051.316759825776840.00576758769785239
0.061.319070865038110.00575532064574272
0.071.321260440242740.00555286675347876
0.081.32324779168050.00523720438660782
0.091.325004389778320.00480640890375716
0.11.326529819697750.00429292171806035
0.111.327843585512480.00379588726926776
0.121.328984107092250.00344708882694694
0.131.330005027707790.00334594877429602
0.141.33096599969670.00350157698154951
0.151.331921104890110.00383383657834735
0.161.332909626313260.0042378810488588
0.171.333952136496610.00462696092339592
0.181.335052160579920.00494586078849954
0.191.336201655763250.00517980218282998
0.21.337387779779120.00534520376153357
0.211.338598727577910.00547387699529304
0.221.339827331371450.00560266864079922
0.231.341072164304830.00576277660835279
0.241.342336704117950.0059655164140058
0.251.343627517339150.00621177504373405
0.261.344952409445440.00649497872180964
0.271.346319176752440.00680620174048331
0.281.347735175913530.00714437973537814
0.291.349207565246360.00751489651286425
0.31.350743869211850.00792476489332387
0.311.352352491337750.00838533752138108
0.321.354042906300110.00890692211017922
0.331.3558254258040.00949113726121022
0.341.357710588893510.0101382573042219
0.351.359708334940750.01083984441252
0.361.361827164809790.0115822788510158
0.371.364073489781220.012350389714564
0.381.36645132306140.013129754858262
0.391.368962398322890.0139031402718952
0.41.37160671411690.0146647468665562
0.411.374383412471480.0154085910280559
0.421.377291818068560.0161432693522665
0.431.380332408234920.0168797429510808
0.441.38350747072070.0176334133523354
0.451.386821246686840.0184212831134809
0.461.390279449034960.0192533623990528
0.471.39388817489970.0201273081756285
0.481.397652367103540.0210320332998748
0.491.401574088714020.0219404744558096
0.51.405650928047520.0228176836491833
0.511.40987483254090.0236247494688836
0.521.414231581776050.0243188140599199
0.531.418700974232120.0248686119899936
0.541.42325765354940.0252473921353702
0.551.427872375753750.0254397904717688
0.561.432513448924860.025441629412153
0.571.437148075344440.0252545802625645
0.581.441743388532230.0248884916379003
0.591.446267082942090.0243504252097887
0.61.450687652754360.0236485413134975
0.611.454974358632420.0227897233487732
0.621.459097105790290.0217780891146142
0.631.463026433350050.0206188622285242
0.641.466733785524570.0193173133882642
0.651.470192169923550.0178846649294926
0.661.473377221972250.0163383785620447
0.671.476268603072970.0147021532554036
0.681.478851579449570.0130090437599918
0.691.481118573209260.0112982525625539
0.71.48307045912130.00961534377285251
0.711.484717406539740.00800738780493706
0.721.486079132902220.00652020639431393
0.731.487184528148090.00519450435562199
0.741.488070702035390.00406656508872498
0.751.488781568914620.00316240608127353
0.761.489366096616640.00250599475893721
0.771.489876310866410.00212186312474726
0.781.49036509841960.00202721597709867
0.791.490883848815030.00220470071872198
0.81.491480068960630.00259529282472373
0.811.49219529888370.00313395935148691
0.821.493063859684170.00376215487155919
0.831.494112985654760.00443182741893416
0.841.495364510391240.00511265515327785
0.851.496837394787120.00579567717918932
0.861.498549228086360.00649288912710392
0.871.500514064555410.00721426558537891
0.881.50273454515790.00793224645495759
0.891.505188973023840.00855461492950071
0.91.507818686938550.00891958282491796
0.911.510525927760940.00885461842555381
0.921.513194064071440.00825937944606517
0.931.515736761772420.00720866050522627
0.941.518168473016120.00601952391882515
0.951.520667514966110.00527436457370372
0.961.523580409837960.00556432354088359
0.971.52729580541070.00678743885871052
0.981.531909974736230.00820229575916218
0.991.536712693843980.0092614828000205


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')