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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 computationSat, 15 Feb 2014 08:58:49 -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/15/t1392472739cusauhyw1hdn0qg.htm/, Retrieved Thu, 16 May 2024 06:01:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233705, Retrieved Thu, 16 May 2024 06:01:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact91

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] [] [2014-02-15 13:58:49] [c97636ecf0aef6cf672ffb6fe15d6b60] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2.79
3.08
3.89
3.7
4.61
5.07
5.22
4.93
5.15
4.8
3.89
3.54
3.34
2.8
1.6
1.53
0.69
-0.11
-0.67
-0.2
-0.62
-0.58
-0.31
-0.25
-0.08
0.13
0.94
1.05
1.59
2.03
2.15
2.06
2.56
2.55
2.53
2.6
2.71
2.82
2.93
2.88
2.89
3.27
3.32
3.14
3.04
3.08
3.39
3.23
3.38
3.41
3.14
2.96
2.73
2.21
2.23
2.56
2.39
2.49
2.17
2.16
1.48
1.09
1.25
1.26
1.39
1.69
1.55
1.19
1.08
0.93
0.98
1.01

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233705&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233705&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233705&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 time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-0.6467422003052660.064326601677517
0.02-0.6012455554836040.104867720826363
0.03-0.5378548245590840.149938415324753
0.04-0.462462040591430.181052223949712
0.05-0.3808526036707970.198045654191681
0.06-0.2966923925779930.213510562658838
0.07-0.2103582336836930.240533734267264
0.08-0.1196594522783270.282864825495765
0.09-0.02179291115259130.334444139373226
0.10.08474949995506970.384737917354846
0.110.1991634092286670.423373339413697
0.120.3183726508860450.442992466483098
0.130.4378453403490170.440731379219937
0.140.5527360121543260.418322426032086
0.150.658938822426640.381017589660455
0.160.7537802217401450.335848052136055
0.170.8362565351570880.289874136285348
0.180.9068731459178990.248869485476503
0.190.9672310162828840.216622582170039
0.21.019525816170240.19473943646802
0.211.066092303903470.182850665386848
0.221.109070226747630.179190479569574
0.231.150213357587450.181418095774917
0.241.190825003765010.187336622717011
0.251.231784657552370.195238441955872
0.261.273627243636430.203995646305125
0.271.316642031624190.212992135314701
0.281.360967110294880.222015043687724
0.291.406664118288660.231117670443921
0.31.453765542901750.240451920805995
0.311.50229330623910.250113533012541
0.321.552252717652460.260013212088305
0.331.603610031231860.269812343165997
0.341.656264317674430.278929745062935
0.351.710024610599260.286653290766345
0.361.764601127252220.292268811187324
0.371.819615194000340.295209717006003
0.381.874627326074870.295185697299749
0.391.929178063312110.292218941103054
0.41.982832934607750.28665394705541
0.412.035222133636830.279075072798671
0.422.086067236291350.270189762213632
0.432.135190938723160.260683576984919
0.442.182510193226360.251115389980882
0.452.228016981454610.241830611082128
0.462.271753267580310.232972793874925
0.472.313786945286290.224514937395898
0.482.354194002001990.216347690417866
0.492.393049368739540.208368874288578
0.52.430425960941520.200549885668027
0.512.466399141037620.192947230919948
0.522.501052816165190.185690831455354
0.532.534483732574020.178929995659401
0.542.56680191309630.172806244084486
0.552.598126999642040.167390285774646
0.562.628581852405820.162670613589193
0.572.658285629736360.158570632706774
0.582.687348537435310.15498312751305
0.592.715869628629970.151794839122668
0.62.743937831146250.148942806546558
0.612.771635242761570.146404174316951
0.622.799041054464760.144194462289585
0.632.826234428829940.142358738263812
0.642.853295222655340.140923563229692
0.652.880302343289180.13988436980637
0.662.907330408652890.13919276036666
0.672.934445915317640.138776674701746
0.682.961704130812040.138529403381559
0.692.989147457928590.138359518500933
0.73.01680532542960.138188794132307
0.713.044695126376780.137964809776307
0.723.072823725166230.137646774218425
0.733.101189785546090.137204214325933
0.743.129788528734540.1366055129817
0.753.158622061209210.135825527939698
0.763.18771940198040.134912251448531
0.773.217170033680860.134045707255406
0.783.247172722619320.133631346144673
0.793.278097625273120.134397271797602
0.83.310555229163620.13742582365381
0.813.345461983969780.144082995358841
0.823.384091010564580.15583077718424
0.833.428097241417950.173947602429544
0.843.47950759192390.199287192886421
0.853.540663838493870.232218092143287
0.863.614094749632450.272561214071159
0.873.702276850398580.319384160918472
0.883.807234611484830.370432183910588
0.893.929957725571140.421355621502739
0.94.069699825670280.465231729818168
0.914.223361280011890.493125081190858
0.924.385280334373340.496253113566363
0.934.547745249022920.469369781097436
0.944.70230807053020.413850526924923
0.954.841580376745470.338413352978523
0.964.960831022220920.256281394580225
0.975.058563107437430.180140917703781
0.985.13530165463370.119137982976382
0.995.190443332778140.0811543280685175

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -0.646742200305266 & 0.064326601677517 \tabularnewline
0.02 & -0.601245555483604 & 0.104867720826363 \tabularnewline
0.03 & -0.537854824559084 & 0.149938415324753 \tabularnewline
0.04 & -0.46246204059143 & 0.181052223949712 \tabularnewline
0.05 & -0.380852603670797 & 0.198045654191681 \tabularnewline
0.06 & -0.296692392577993 & 0.213510562658838 \tabularnewline
0.07 & -0.210358233683693 & 0.240533734267264 \tabularnewline
0.08 & -0.119659452278327 & 0.282864825495765 \tabularnewline
0.09 & -0.0217929111525913 & 0.334444139373226 \tabularnewline
0.1 & 0.0847494999550697 & 0.384737917354846 \tabularnewline
0.11 & 0.199163409228667 & 0.423373339413697 \tabularnewline
0.12 & 0.318372650886045 & 0.442992466483098 \tabularnewline
0.13 & 0.437845340349017 & 0.440731379219937 \tabularnewline
0.14 & 0.552736012154326 & 0.418322426032086 \tabularnewline
0.15 & 0.65893882242664 & 0.381017589660455 \tabularnewline
0.16 & 0.753780221740145 & 0.335848052136055 \tabularnewline
0.17 & 0.836256535157088 & 0.289874136285348 \tabularnewline
0.18 & 0.906873145917899 & 0.248869485476503 \tabularnewline
0.19 & 0.967231016282884 & 0.216622582170039 \tabularnewline
0.2 & 1.01952581617024 & 0.19473943646802 \tabularnewline
0.21 & 1.06609230390347 & 0.182850665386848 \tabularnewline
0.22 & 1.10907022674763 & 0.179190479569574 \tabularnewline
0.23 & 1.15021335758745 & 0.181418095774917 \tabularnewline
0.24 & 1.19082500376501 & 0.187336622717011 \tabularnewline
0.25 & 1.23178465755237 & 0.195238441955872 \tabularnewline
0.26 & 1.27362724363643 & 0.203995646305125 \tabularnewline
0.27 & 1.31664203162419 & 0.212992135314701 \tabularnewline
0.28 & 1.36096711029488 & 0.222015043687724 \tabularnewline
0.29 & 1.40666411828866 & 0.231117670443921 \tabularnewline
0.3 & 1.45376554290175 & 0.240451920805995 \tabularnewline
0.31 & 1.5022933062391 & 0.250113533012541 \tabularnewline
0.32 & 1.55225271765246 & 0.260013212088305 \tabularnewline
0.33 & 1.60361003123186 & 0.269812343165997 \tabularnewline
0.34 & 1.65626431767443 & 0.278929745062935 \tabularnewline
0.35 & 1.71002461059926 & 0.286653290766345 \tabularnewline
0.36 & 1.76460112725222 & 0.292268811187324 \tabularnewline
0.37 & 1.81961519400034 & 0.295209717006003 \tabularnewline
0.38 & 1.87462732607487 & 0.295185697299749 \tabularnewline
0.39 & 1.92917806331211 & 0.292218941103054 \tabularnewline
0.4 & 1.98283293460775 & 0.28665394705541 \tabularnewline
0.41 & 2.03522213363683 & 0.279075072798671 \tabularnewline
0.42 & 2.08606723629135 & 0.270189762213632 \tabularnewline
0.43 & 2.13519093872316 & 0.260683576984919 \tabularnewline
0.44 & 2.18251019322636 & 0.251115389980882 \tabularnewline
0.45 & 2.22801698145461 & 0.241830611082128 \tabularnewline
0.46 & 2.27175326758031 & 0.232972793874925 \tabularnewline
0.47 & 2.31378694528629 & 0.224514937395898 \tabularnewline
0.48 & 2.35419400200199 & 0.216347690417866 \tabularnewline
0.49 & 2.39304936873954 & 0.208368874288578 \tabularnewline
0.5 & 2.43042596094152 & 0.200549885668027 \tabularnewline
0.51 & 2.46639914103762 & 0.192947230919948 \tabularnewline
0.52 & 2.50105281616519 & 0.185690831455354 \tabularnewline
0.53 & 2.53448373257402 & 0.178929995659401 \tabularnewline
0.54 & 2.5668019130963 & 0.172806244084486 \tabularnewline
0.55 & 2.59812699964204 & 0.167390285774646 \tabularnewline
0.56 & 2.62858185240582 & 0.162670613589193 \tabularnewline
0.57 & 2.65828562973636 & 0.158570632706774 \tabularnewline
0.58 & 2.68734853743531 & 0.15498312751305 \tabularnewline
0.59 & 2.71586962862997 & 0.151794839122668 \tabularnewline
0.6 & 2.74393783114625 & 0.148942806546558 \tabularnewline
0.61 & 2.77163524276157 & 0.146404174316951 \tabularnewline
0.62 & 2.79904105446476 & 0.144194462289585 \tabularnewline
0.63 & 2.82623442882994 & 0.142358738263812 \tabularnewline
0.64 & 2.85329522265534 & 0.140923563229692 \tabularnewline
0.65 & 2.88030234328918 & 0.13988436980637 \tabularnewline
0.66 & 2.90733040865289 & 0.13919276036666 \tabularnewline
0.67 & 2.93444591531764 & 0.138776674701746 \tabularnewline
0.68 & 2.96170413081204 & 0.138529403381559 \tabularnewline
0.69 & 2.98914745792859 & 0.138359518500933 \tabularnewline
0.7 & 3.0168053254296 & 0.138188794132307 \tabularnewline
0.71 & 3.04469512637678 & 0.137964809776307 \tabularnewline
0.72 & 3.07282372516623 & 0.137646774218425 \tabularnewline
0.73 & 3.10118978554609 & 0.137204214325933 \tabularnewline
0.74 & 3.12978852873454 & 0.1366055129817 \tabularnewline
0.75 & 3.15862206120921 & 0.135825527939698 \tabularnewline
0.76 & 3.1877194019804 & 0.134912251448531 \tabularnewline
0.77 & 3.21717003368086 & 0.134045707255406 \tabularnewline
0.78 & 3.24717272261932 & 0.133631346144673 \tabularnewline
0.79 & 3.27809762527312 & 0.134397271797602 \tabularnewline
0.8 & 3.31055522916362 & 0.13742582365381 \tabularnewline
0.81 & 3.34546198396978 & 0.144082995358841 \tabularnewline
0.82 & 3.38409101056458 & 0.15583077718424 \tabularnewline
0.83 & 3.42809724141795 & 0.173947602429544 \tabularnewline
0.84 & 3.4795075919239 & 0.199287192886421 \tabularnewline
0.85 & 3.54066383849387 & 0.232218092143287 \tabularnewline
0.86 & 3.61409474963245 & 0.272561214071159 \tabularnewline
0.87 & 3.70227685039858 & 0.319384160918472 \tabularnewline
0.88 & 3.80723461148483 & 0.370432183910588 \tabularnewline
0.89 & 3.92995772557114 & 0.421355621502739 \tabularnewline
0.9 & 4.06969982567028 & 0.465231729818168 \tabularnewline
0.91 & 4.22336128001189 & 0.493125081190858 \tabularnewline
0.92 & 4.38528033437334 & 0.496253113566363 \tabularnewline
0.93 & 4.54774524902292 & 0.469369781097436 \tabularnewline
0.94 & 4.7023080705302 & 0.413850526924923 \tabularnewline
0.95 & 4.84158037674547 & 0.338413352978523 \tabularnewline
0.96 & 4.96083102222092 & 0.256281394580225 \tabularnewline
0.97 & 5.05856310743743 & 0.180140917703781 \tabularnewline
0.98 & 5.1353016546337 & 0.119137982976382 \tabularnewline
0.99 & 5.19044333277814 & 0.0811543280685175 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233705&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]-0.646742200305266[/C][C]0.064326601677517[/C][/ROW]
[ROW][C]0.02[/C][C]-0.601245555483604[/C][C]0.104867720826363[/C][/ROW]
[ROW][C]0.03[/C][C]-0.537854824559084[/C][C]0.149938415324753[/C][/ROW]
[ROW][C]0.04[/C][C]-0.46246204059143[/C][C]0.181052223949712[/C][/ROW]
[ROW][C]0.05[/C][C]-0.380852603670797[/C][C]0.198045654191681[/C][/ROW]
[ROW][C]0.06[/C][C]-0.296692392577993[/C][C]0.213510562658838[/C][/ROW]
[ROW][C]0.07[/C][C]-0.210358233683693[/C][C]0.240533734267264[/C][/ROW]
[ROW][C]0.08[/C][C]-0.119659452278327[/C][C]0.282864825495765[/C][/ROW]
[ROW][C]0.09[/C][C]-0.0217929111525913[/C][C]0.334444139373226[/C][/ROW]
[ROW][C]0.1[/C][C]0.0847494999550697[/C][C]0.384737917354846[/C][/ROW]
[ROW][C]0.11[/C][C]0.199163409228667[/C][C]0.423373339413697[/C][/ROW]
[ROW][C]0.12[/C][C]0.318372650886045[/C][C]0.442992466483098[/C][/ROW]
[ROW][C]0.13[/C][C]0.437845340349017[/C][C]0.440731379219937[/C][/ROW]
[ROW][C]0.14[/C][C]0.552736012154326[/C][C]0.418322426032086[/C][/ROW]
[ROW][C]0.15[/C][C]0.65893882242664[/C][C]0.381017589660455[/C][/ROW]
[ROW][C]0.16[/C][C]0.753780221740145[/C][C]0.335848052136055[/C][/ROW]
[ROW][C]0.17[/C][C]0.836256535157088[/C][C]0.289874136285348[/C][/ROW]
[ROW][C]0.18[/C][C]0.906873145917899[/C][C]0.248869485476503[/C][/ROW]
[ROW][C]0.19[/C][C]0.967231016282884[/C][C]0.216622582170039[/C][/ROW]
[ROW][C]0.2[/C][C]1.01952581617024[/C][C]0.19473943646802[/C][/ROW]
[ROW][C]0.21[/C][C]1.06609230390347[/C][C]0.182850665386848[/C][/ROW]
[ROW][C]0.22[/C][C]1.10907022674763[/C][C]0.179190479569574[/C][/ROW]
[ROW][C]0.23[/C][C]1.15021335758745[/C][C]0.181418095774917[/C][/ROW]
[ROW][C]0.24[/C][C]1.19082500376501[/C][C]0.187336622717011[/C][/ROW]
[ROW][C]0.25[/C][C]1.23178465755237[/C][C]0.195238441955872[/C][/ROW]
[ROW][C]0.26[/C][C]1.27362724363643[/C][C]0.203995646305125[/C][/ROW]
[ROW][C]0.27[/C][C]1.31664203162419[/C][C]0.212992135314701[/C][/ROW]
[ROW][C]0.28[/C][C]1.36096711029488[/C][C]0.222015043687724[/C][/ROW]
[ROW][C]0.29[/C][C]1.40666411828866[/C][C]0.231117670443921[/C][/ROW]
[ROW][C]0.3[/C][C]1.45376554290175[/C][C]0.240451920805995[/C][/ROW]
[ROW][C]0.31[/C][C]1.5022933062391[/C][C]0.250113533012541[/C][/ROW]
[ROW][C]0.32[/C][C]1.55225271765246[/C][C]0.260013212088305[/C][/ROW]
[ROW][C]0.33[/C][C]1.60361003123186[/C][C]0.269812343165997[/C][/ROW]
[ROW][C]0.34[/C][C]1.65626431767443[/C][C]0.278929745062935[/C][/ROW]
[ROW][C]0.35[/C][C]1.71002461059926[/C][C]0.286653290766345[/C][/ROW]
[ROW][C]0.36[/C][C]1.76460112725222[/C][C]0.292268811187324[/C][/ROW]
[ROW][C]0.37[/C][C]1.81961519400034[/C][C]0.295209717006003[/C][/ROW]
[ROW][C]0.38[/C][C]1.87462732607487[/C][C]0.295185697299749[/C][/ROW]
[ROW][C]0.39[/C][C]1.92917806331211[/C][C]0.292218941103054[/C][/ROW]
[ROW][C]0.4[/C][C]1.98283293460775[/C][C]0.28665394705541[/C][/ROW]
[ROW][C]0.41[/C][C]2.03522213363683[/C][C]0.279075072798671[/C][/ROW]
[ROW][C]0.42[/C][C]2.08606723629135[/C][C]0.270189762213632[/C][/ROW]
[ROW][C]0.43[/C][C]2.13519093872316[/C][C]0.260683576984919[/C][/ROW]
[ROW][C]0.44[/C][C]2.18251019322636[/C][C]0.251115389980882[/C][/ROW]
[ROW][C]0.45[/C][C]2.22801698145461[/C][C]0.241830611082128[/C][/ROW]
[ROW][C]0.46[/C][C]2.27175326758031[/C][C]0.232972793874925[/C][/ROW]
[ROW][C]0.47[/C][C]2.31378694528629[/C][C]0.224514937395898[/C][/ROW]
[ROW][C]0.48[/C][C]2.35419400200199[/C][C]0.216347690417866[/C][/ROW]
[ROW][C]0.49[/C][C]2.39304936873954[/C][C]0.208368874288578[/C][/ROW]
[ROW][C]0.5[/C][C]2.43042596094152[/C][C]0.200549885668027[/C][/ROW]
[ROW][C]0.51[/C][C]2.46639914103762[/C][C]0.192947230919948[/C][/ROW]
[ROW][C]0.52[/C][C]2.50105281616519[/C][C]0.185690831455354[/C][/ROW]
[ROW][C]0.53[/C][C]2.53448373257402[/C][C]0.178929995659401[/C][/ROW]
[ROW][C]0.54[/C][C]2.5668019130963[/C][C]0.172806244084486[/C][/ROW]
[ROW][C]0.55[/C][C]2.59812699964204[/C][C]0.167390285774646[/C][/ROW]
[ROW][C]0.56[/C][C]2.62858185240582[/C][C]0.162670613589193[/C][/ROW]
[ROW][C]0.57[/C][C]2.65828562973636[/C][C]0.158570632706774[/C][/ROW]
[ROW][C]0.58[/C][C]2.68734853743531[/C][C]0.15498312751305[/C][/ROW]
[ROW][C]0.59[/C][C]2.71586962862997[/C][C]0.151794839122668[/C][/ROW]
[ROW][C]0.6[/C][C]2.74393783114625[/C][C]0.148942806546558[/C][/ROW]
[ROW][C]0.61[/C][C]2.77163524276157[/C][C]0.146404174316951[/C][/ROW]
[ROW][C]0.62[/C][C]2.79904105446476[/C][C]0.144194462289585[/C][/ROW]
[ROW][C]0.63[/C][C]2.82623442882994[/C][C]0.142358738263812[/C][/ROW]
[ROW][C]0.64[/C][C]2.85329522265534[/C][C]0.140923563229692[/C][/ROW]
[ROW][C]0.65[/C][C]2.88030234328918[/C][C]0.13988436980637[/C][/ROW]
[ROW][C]0.66[/C][C]2.90733040865289[/C][C]0.13919276036666[/C][/ROW]
[ROW][C]0.67[/C][C]2.93444591531764[/C][C]0.138776674701746[/C][/ROW]
[ROW][C]0.68[/C][C]2.96170413081204[/C][C]0.138529403381559[/C][/ROW]
[ROW][C]0.69[/C][C]2.98914745792859[/C][C]0.138359518500933[/C][/ROW]
[ROW][C]0.7[/C][C]3.0168053254296[/C][C]0.138188794132307[/C][/ROW]
[ROW][C]0.71[/C][C]3.04469512637678[/C][C]0.137964809776307[/C][/ROW]
[ROW][C]0.72[/C][C]3.07282372516623[/C][C]0.137646774218425[/C][/ROW]
[ROW][C]0.73[/C][C]3.10118978554609[/C][C]0.137204214325933[/C][/ROW]
[ROW][C]0.74[/C][C]3.12978852873454[/C][C]0.1366055129817[/C][/ROW]
[ROW][C]0.75[/C][C]3.15862206120921[/C][C]0.135825527939698[/C][/ROW]
[ROW][C]0.76[/C][C]3.1877194019804[/C][C]0.134912251448531[/C][/ROW]
[ROW][C]0.77[/C][C]3.21717003368086[/C][C]0.134045707255406[/C][/ROW]
[ROW][C]0.78[/C][C]3.24717272261932[/C][C]0.133631346144673[/C][/ROW]
[ROW][C]0.79[/C][C]3.27809762527312[/C][C]0.134397271797602[/C][/ROW]
[ROW][C]0.8[/C][C]3.31055522916362[/C][C]0.13742582365381[/C][/ROW]
[ROW][C]0.81[/C][C]3.34546198396978[/C][C]0.144082995358841[/C][/ROW]
[ROW][C]0.82[/C][C]3.38409101056458[/C][C]0.15583077718424[/C][/ROW]
[ROW][C]0.83[/C][C]3.42809724141795[/C][C]0.173947602429544[/C][/ROW]
[ROW][C]0.84[/C][C]3.4795075919239[/C][C]0.199287192886421[/C][/ROW]
[ROW][C]0.85[/C][C]3.54066383849387[/C][C]0.232218092143287[/C][/ROW]
[ROW][C]0.86[/C][C]3.61409474963245[/C][C]0.272561214071159[/C][/ROW]
[ROW][C]0.87[/C][C]3.70227685039858[/C][C]0.319384160918472[/C][/ROW]
[ROW][C]0.88[/C][C]3.80723461148483[/C][C]0.370432183910588[/C][/ROW]
[ROW][C]0.89[/C][C]3.92995772557114[/C][C]0.421355621502739[/C][/ROW]
[ROW][C]0.9[/C][C]4.06969982567028[/C][C]0.465231729818168[/C][/ROW]
[ROW][C]0.91[/C][C]4.22336128001189[/C][C]0.493125081190858[/C][/ROW]
[ROW][C]0.92[/C][C]4.38528033437334[/C][C]0.496253113566363[/C][/ROW]
[ROW][C]0.93[/C][C]4.54774524902292[/C][C]0.469369781097436[/C][/ROW]
[ROW][C]0.94[/C][C]4.7023080705302[/C][C]0.413850526924923[/C][/ROW]
[ROW][C]0.95[/C][C]4.84158037674547[/C][C]0.338413352978523[/C][/ROW]
[ROW][C]0.96[/C][C]4.96083102222092[/C][C]0.256281394580225[/C][/ROW]
[ROW][C]0.97[/C][C]5.05856310743743[/C][C]0.180140917703781[/C][/ROW]
[ROW][C]0.98[/C][C]5.1353016546337[/C][C]0.119137982976382[/C][/ROW]
[ROW][C]0.99[/C][C]5.19044333277814[/C][C]0.0811543280685175[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233705&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233705&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
0.01-0.6467422003052660.064326601677517
0.02-0.6012455554836040.104867720826363
0.03-0.5378548245590840.149938415324753
0.04-0.462462040591430.181052223949712
0.05-0.3808526036707970.198045654191681
0.06-0.2966923925779930.213510562658838
0.07-0.2103582336836930.240533734267264
0.08-0.1196594522783270.282864825495765
0.09-0.02179291115259130.334444139373226
0.10.08474949995506970.384737917354846
0.110.1991634092286670.423373339413697
0.120.3183726508860450.442992466483098
0.130.4378453403490170.440731379219937
0.140.5527360121543260.418322426032086
0.150.658938822426640.381017589660455
0.160.7537802217401450.335848052136055
0.170.8362565351570880.289874136285348
0.180.9068731459178990.248869485476503
0.190.9672310162828840.216622582170039
0.21.019525816170240.19473943646802
0.211.066092303903470.182850665386848
0.221.109070226747630.179190479569574
0.231.150213357587450.181418095774917
0.241.190825003765010.187336622717011
0.251.231784657552370.195238441955872
0.261.273627243636430.203995646305125
0.271.316642031624190.212992135314701
0.281.360967110294880.222015043687724
0.291.406664118288660.231117670443921
0.31.453765542901750.240451920805995
0.311.50229330623910.250113533012541
0.321.552252717652460.260013212088305
0.331.603610031231860.269812343165997
0.341.656264317674430.278929745062935
0.351.710024610599260.286653290766345
0.361.764601127252220.292268811187324
0.371.819615194000340.295209717006003
0.381.874627326074870.295185697299749
0.391.929178063312110.292218941103054
0.41.982832934607750.28665394705541
0.412.035222133636830.279075072798671
0.422.086067236291350.270189762213632
0.432.135190938723160.260683576984919
0.442.182510193226360.251115389980882
0.452.228016981454610.241830611082128
0.462.271753267580310.232972793874925
0.472.313786945286290.224514937395898
0.482.354194002001990.216347690417866
0.492.393049368739540.208368874288578
0.52.430425960941520.200549885668027
0.512.466399141037620.192947230919948
0.522.501052816165190.185690831455354
0.532.534483732574020.178929995659401
0.542.56680191309630.172806244084486
0.552.598126999642040.167390285774646
0.562.628581852405820.162670613589193
0.572.658285629736360.158570632706774
0.582.687348537435310.15498312751305
0.592.715869628629970.151794839122668
0.62.743937831146250.148942806546558
0.612.771635242761570.146404174316951
0.622.799041054464760.144194462289585
0.632.826234428829940.142358738263812
0.642.853295222655340.140923563229692
0.652.880302343289180.13988436980637
0.662.907330408652890.13919276036666
0.672.934445915317640.138776674701746
0.682.961704130812040.138529403381559
0.692.989147457928590.138359518500933
0.73.01680532542960.138188794132307
0.713.044695126376780.137964809776307
0.723.072823725166230.137646774218425
0.733.101189785546090.137204214325933
0.743.129788528734540.1366055129817
0.753.158622061209210.135825527939698
0.763.18771940198040.134912251448531
0.773.217170033680860.134045707255406
0.783.247172722619320.133631346144673
0.793.278097625273120.134397271797602
0.83.310555229163620.13742582365381
0.813.345461983969780.144082995358841
0.823.384091010564580.15583077718424
0.833.428097241417950.173947602429544
0.843.47950759192390.199287192886421
0.853.540663838493870.232218092143287
0.863.614094749632450.272561214071159
0.873.702276850398580.319384160918472
0.883.807234611484830.370432183910588
0.893.929957725571140.421355621502739
0.94.069699825670280.465231729818168
0.914.223361280011890.493125081190858
0.924.385280334373340.496253113566363
0.934.547745249022920.469369781097436
0.944.70230807053020.413850526924923
0.954.841580376745470.338413352978523
0.964.960831022220920.256281394580225
0.975.058563107437430.180140917703781
0.985.13530165463370.119137982976382
0.995.190443332778140.0811543280685175


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 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')