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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, 02 Mar 2008 15:57:13 -0700
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/Mar/02/t1204498672v7ipuau0p1tgjwl.htm/, Retrieved Tue, 07 May 2024 00:49:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9798, Retrieved Tue, 07 May 2024 00:49:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact143

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] [Percentielen Prij...] [2008-03-02 22:57:13] [8538d70d450041461fa1d963237d07ba] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4.43
4.43
4.44
4.44
4.44
4.45
4.47
4.48
4.48
4.5
4.52
4.52
4.53
4.53
4.63
4.66
4.67
4.68
4.69
4.69
4.7
4.71
4.72
4.72
4.72
4.73
4.74
4.76
4.81
4.82
4.83
4.83
4.84
4.89
4.92
4.95
4.95
5.01
5.05
5.08
5.11
5.14
5.17
5.18
5.2
5.22
5.24
5.28
5.29
5.33
5.4
5.43
5.46
5.46
5.46
5.47
5.49
5.5
5.54
5.55
5.55
5.56
5.6
5.61
5.63
5.64
5.66
5.67
5.69
5.77
5.77
5.78
5.8
5.82
5.85
5.87
5.88
5.9
5.91
5.94
5.97
5.98
6
6.01
6.02

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time18 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 18 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9798&T=0

[TABLE]
[ROW][C]Summary of compuational 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]18 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9798&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9798&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time18 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.014.431104694696670.00297837627783683
0.024.433673335617920.00565215795319215
0.034.437345186708990.00751744760507691
0.044.441833987506840.0102718245536995
0.054.447247501940140.0142770454877252
0.064.453807090035390.0186549560384695
0.074.461567895405370.0226953627638574
0.084.470412499564210.0263384467729299
0.094.480203421186220.0300367540965853
0.14.49091252607110.0343779531347518
0.114.502647605788060.0397540830276914
0.124.515589402387980.046149440822135
0.134.529886827163480.0531070890866718
0.144.545556153663720.0597935860724076
0.154.562417423197030.0652486923168901
0.164.580086883187280.068606551794993
0.174.598027541098760.069379879801636
0.184.615642352545190.0675261753058794
0.194.632381936232520.0634960580291956
0.24.647836472889320.0580620108825842
0.214.661790106558520.052136646202687
0.224.674230883436930.0465896079488018
0.234.685323157292810.0421213986526631
0.244.695357453915770.0392008279619097
0.254.704693815863410.0380351873984286
0.264.713710669122080.0385800515801463
0.274.722765548134650.0406639326462117
0.284.732169237052870.0439735691428808
0.294.742172152556110.0481784316292269
0.34.752960844827810.0529988956388918
0.314.764662416308660.0581828249401455
0.324.777354638149870.0635385830068515
0.334.791079268569160.0689667346832092
0.344.805855725902830.0744539243515616
0.354.821692242115560.0799955229642988
0.364.838592218506270.0856125712893386
0.374.856554726391580.0912929726147096
0.384.875569643539280.0969501581771606
0.394.895609340947980.102467173022457
0.44.916619727501050.107637941497212
0.414.938513607627490.112259880660012
0.424.961168732246950.116128607768519
0.434.98443183417250.119077426069560
0.445.008128627616980.121008915833318
0.455.032078496776990.121919381306444
0.465.056111611897240.121918177285659
0.475.080085625313550.121196736987051
0.485.103898983879080.12001444333687
0.495.127498269887790.118654847976761
0.55.150877826706340.117402237263752
0.515.17407115602010.116456693915985
0.525.19713503501540.115927770464112
0.535.220128761479120.115778067517558
0.545.243092106310430.115821386571674
0.555.266026147228170.115800397676759
0.565.288880955291980.115351321448694
0.575.311553034459420.114178252792462
0.585.333893603493440.112034491162889
0.595.355726600684630.108805617226148
0.65.376873183125920.104536675927357
0.615.397178019081570.0994284686223866
0.625.416532251027170.0937960356691993
0.635.434888792941950.0880151792673191
0.645.452267437509490.082501547094771
0.655.468749605634780.0775641536832399
0.665.484464833629670.0734370703372438
0.675.499572671102430.0702151368966931
0.685.514244196691810.067885052031635
0.695.528646817206550.066347147235701
0.75.5429346593820.0654651226308935
0.715.557245114922450.0651250139133753
0.725.57170038951080.065233169582819
0.735.586411578044870.0657308211793343
0.745.601482090146120.066593453415284
0.755.617007376734740.0678060846134022
0.765.633068997898830.0693053654314117
0.775.649723091333450.0709723320265844
0.785.666985856405670.0725905817045778
0.795.684820903890040.0738856846730563
0.85.703134095192620.0745611630027856
0.815.721779930100870.0743745040461307
0.825.740579733750650.0732314162026173
0.835.759347306536580.0711754164623927
0.845.777914757997060.068393926362138
0.855.796151999232440.0651346730313625
0.865.813977840400260.0616267905519643
0.875.831365992791640.0580508754891511
0.885.848350897890.0545698700907118
0.895.865032954323990.0513743266654382
0.95.88157229251590.0486805025713547
0.915.898153357192710.046598198718541
0.925.914910543283720.0449288674095826
0.935.931831698875730.0430691943660709
0.945.94868681336640.0402291379640499
0.955.965034622368120.0358813113252386
0.965.980324426300540.0300753260744641
0.975.994048162863040.0233523340949118
0.986.005795849898680.0165824119565826
0.996.014923862128260.0114890503146275

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 4.43110469469667 & 0.00297837627783683 \tabularnewline
0.02 & 4.43367333561792 & 0.00565215795319215 \tabularnewline
0.03 & 4.43734518670899 & 0.00751744760507691 \tabularnewline
0.04 & 4.44183398750684 & 0.0102718245536995 \tabularnewline
0.05 & 4.44724750194014 & 0.0142770454877252 \tabularnewline
0.06 & 4.45380709003539 & 0.0186549560384695 \tabularnewline
0.07 & 4.46156789540537 & 0.0226953627638574 \tabularnewline
0.08 & 4.47041249956421 & 0.0263384467729299 \tabularnewline
0.09 & 4.48020342118622 & 0.0300367540965853 \tabularnewline
0.1 & 4.4909125260711 & 0.0343779531347518 \tabularnewline
0.11 & 4.50264760578806 & 0.0397540830276914 \tabularnewline
0.12 & 4.51558940238798 & 0.046149440822135 \tabularnewline
0.13 & 4.52988682716348 & 0.0531070890866718 \tabularnewline
0.14 & 4.54555615366372 & 0.0597935860724076 \tabularnewline
0.15 & 4.56241742319703 & 0.0652486923168901 \tabularnewline
0.16 & 4.58008688318728 & 0.068606551794993 \tabularnewline
0.17 & 4.59802754109876 & 0.069379879801636 \tabularnewline
0.18 & 4.61564235254519 & 0.0675261753058794 \tabularnewline
0.19 & 4.63238193623252 & 0.0634960580291956 \tabularnewline
0.2 & 4.64783647288932 & 0.0580620108825842 \tabularnewline
0.21 & 4.66179010655852 & 0.052136646202687 \tabularnewline
0.22 & 4.67423088343693 & 0.0465896079488018 \tabularnewline
0.23 & 4.68532315729281 & 0.0421213986526631 \tabularnewline
0.24 & 4.69535745391577 & 0.0392008279619097 \tabularnewline
0.25 & 4.70469381586341 & 0.0380351873984286 \tabularnewline
0.26 & 4.71371066912208 & 0.0385800515801463 \tabularnewline
0.27 & 4.72276554813465 & 0.0406639326462117 \tabularnewline
0.28 & 4.73216923705287 & 0.0439735691428808 \tabularnewline
0.29 & 4.74217215255611 & 0.0481784316292269 \tabularnewline
0.3 & 4.75296084482781 & 0.0529988956388918 \tabularnewline
0.31 & 4.76466241630866 & 0.0581828249401455 \tabularnewline
0.32 & 4.77735463814987 & 0.0635385830068515 \tabularnewline
0.33 & 4.79107926856916 & 0.0689667346832092 \tabularnewline
0.34 & 4.80585572590283 & 0.0744539243515616 \tabularnewline
0.35 & 4.82169224211556 & 0.0799955229642988 \tabularnewline
0.36 & 4.83859221850627 & 0.0856125712893386 \tabularnewline
0.37 & 4.85655472639158 & 0.0912929726147096 \tabularnewline
0.38 & 4.87556964353928 & 0.0969501581771606 \tabularnewline
0.39 & 4.89560934094798 & 0.102467173022457 \tabularnewline
0.4 & 4.91661972750105 & 0.107637941497212 \tabularnewline
0.41 & 4.93851360762749 & 0.112259880660012 \tabularnewline
0.42 & 4.96116873224695 & 0.116128607768519 \tabularnewline
0.43 & 4.9844318341725 & 0.119077426069560 \tabularnewline
0.44 & 5.00812862761698 & 0.121008915833318 \tabularnewline
0.45 & 5.03207849677699 & 0.121919381306444 \tabularnewline
0.46 & 5.05611161189724 & 0.121918177285659 \tabularnewline
0.47 & 5.08008562531355 & 0.121196736987051 \tabularnewline
0.48 & 5.10389898387908 & 0.12001444333687 \tabularnewline
0.49 & 5.12749826988779 & 0.118654847976761 \tabularnewline
0.5 & 5.15087782670634 & 0.117402237263752 \tabularnewline
0.51 & 5.1740711560201 & 0.116456693915985 \tabularnewline
0.52 & 5.1971350350154 & 0.115927770464112 \tabularnewline
0.53 & 5.22012876147912 & 0.115778067517558 \tabularnewline
0.54 & 5.24309210631043 & 0.115821386571674 \tabularnewline
0.55 & 5.26602614722817 & 0.115800397676759 \tabularnewline
0.56 & 5.28888095529198 & 0.115351321448694 \tabularnewline
0.57 & 5.31155303445942 & 0.114178252792462 \tabularnewline
0.58 & 5.33389360349344 & 0.112034491162889 \tabularnewline
0.59 & 5.35572660068463 & 0.108805617226148 \tabularnewline
0.6 & 5.37687318312592 & 0.104536675927357 \tabularnewline
0.61 & 5.39717801908157 & 0.0994284686223866 \tabularnewline
0.62 & 5.41653225102717 & 0.0937960356691993 \tabularnewline
0.63 & 5.43488879294195 & 0.0880151792673191 \tabularnewline
0.64 & 5.45226743750949 & 0.082501547094771 \tabularnewline
0.65 & 5.46874960563478 & 0.0775641536832399 \tabularnewline
0.66 & 5.48446483362967 & 0.0734370703372438 \tabularnewline
0.67 & 5.49957267110243 & 0.0702151368966931 \tabularnewline
0.68 & 5.51424419669181 & 0.067885052031635 \tabularnewline
0.69 & 5.52864681720655 & 0.066347147235701 \tabularnewline
0.7 & 5.542934659382 & 0.0654651226308935 \tabularnewline
0.71 & 5.55724511492245 & 0.0651250139133753 \tabularnewline
0.72 & 5.5717003895108 & 0.065233169582819 \tabularnewline
0.73 & 5.58641157804487 & 0.0657308211793343 \tabularnewline
0.74 & 5.60148209014612 & 0.066593453415284 \tabularnewline
0.75 & 5.61700737673474 & 0.0678060846134022 \tabularnewline
0.76 & 5.63306899789883 & 0.0693053654314117 \tabularnewline
0.77 & 5.64972309133345 & 0.0709723320265844 \tabularnewline
0.78 & 5.66698585640567 & 0.0725905817045778 \tabularnewline
0.79 & 5.68482090389004 & 0.0738856846730563 \tabularnewline
0.8 & 5.70313409519262 & 0.0745611630027856 \tabularnewline
0.81 & 5.72177993010087 & 0.0743745040461307 \tabularnewline
0.82 & 5.74057973375065 & 0.0732314162026173 \tabularnewline
0.83 & 5.75934730653658 & 0.0711754164623927 \tabularnewline
0.84 & 5.77791475799706 & 0.068393926362138 \tabularnewline
0.85 & 5.79615199923244 & 0.0651346730313625 \tabularnewline
0.86 & 5.81397784040026 & 0.0616267905519643 \tabularnewline
0.87 & 5.83136599279164 & 0.0580508754891511 \tabularnewline
0.88 & 5.84835089789 & 0.0545698700907118 \tabularnewline
0.89 & 5.86503295432399 & 0.0513743266654382 \tabularnewline
0.9 & 5.8815722925159 & 0.0486805025713547 \tabularnewline
0.91 & 5.89815335719271 & 0.046598198718541 \tabularnewline
0.92 & 5.91491054328372 & 0.0449288674095826 \tabularnewline
0.93 & 5.93183169887573 & 0.0430691943660709 \tabularnewline
0.94 & 5.9486868133664 & 0.0402291379640499 \tabularnewline
0.95 & 5.96503462236812 & 0.0358813113252386 \tabularnewline
0.96 & 5.98032442630054 & 0.0300753260744641 \tabularnewline
0.97 & 5.99404816286304 & 0.0233523340949118 \tabularnewline
0.98 & 6.00579584989868 & 0.0165824119565826 \tabularnewline
0.99 & 6.01492386212826 & 0.0114890503146275 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9798&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]4.43110469469667[/C][C]0.00297837627783683[/C][/ROW]
[ROW][C]0.02[/C][C]4.43367333561792[/C][C]0.00565215795319215[/C][/ROW]
[ROW][C]0.03[/C][C]4.43734518670899[/C][C]0.00751744760507691[/C][/ROW]
[ROW][C]0.04[/C][C]4.44183398750684[/C][C]0.0102718245536995[/C][/ROW]
[ROW][C]0.05[/C][C]4.44724750194014[/C][C]0.0142770454877252[/C][/ROW]
[ROW][C]0.06[/C][C]4.45380709003539[/C][C]0.0186549560384695[/C][/ROW]
[ROW][C]0.07[/C][C]4.46156789540537[/C][C]0.0226953627638574[/C][/ROW]
[ROW][C]0.08[/C][C]4.47041249956421[/C][C]0.0263384467729299[/C][/ROW]
[ROW][C]0.09[/C][C]4.48020342118622[/C][C]0.0300367540965853[/C][/ROW]
[ROW][C]0.1[/C][C]4.4909125260711[/C][C]0.0343779531347518[/C][/ROW]
[ROW][C]0.11[/C][C]4.50264760578806[/C][C]0.0397540830276914[/C][/ROW]
[ROW][C]0.12[/C][C]4.51558940238798[/C][C]0.046149440822135[/C][/ROW]
[ROW][C]0.13[/C][C]4.52988682716348[/C][C]0.0531070890866718[/C][/ROW]
[ROW][C]0.14[/C][C]4.54555615366372[/C][C]0.0597935860724076[/C][/ROW]
[ROW][C]0.15[/C][C]4.56241742319703[/C][C]0.0652486923168901[/C][/ROW]
[ROW][C]0.16[/C][C]4.58008688318728[/C][C]0.068606551794993[/C][/ROW]
[ROW][C]0.17[/C][C]4.59802754109876[/C][C]0.069379879801636[/C][/ROW]
[ROW][C]0.18[/C][C]4.61564235254519[/C][C]0.0675261753058794[/C][/ROW]
[ROW][C]0.19[/C][C]4.63238193623252[/C][C]0.0634960580291956[/C][/ROW]
[ROW][C]0.2[/C][C]4.64783647288932[/C][C]0.0580620108825842[/C][/ROW]
[ROW][C]0.21[/C][C]4.66179010655852[/C][C]0.052136646202687[/C][/ROW]
[ROW][C]0.22[/C][C]4.67423088343693[/C][C]0.0465896079488018[/C][/ROW]
[ROW][C]0.23[/C][C]4.68532315729281[/C][C]0.0421213986526631[/C][/ROW]
[ROW][C]0.24[/C][C]4.69535745391577[/C][C]0.0392008279619097[/C][/ROW]
[ROW][C]0.25[/C][C]4.70469381586341[/C][C]0.0380351873984286[/C][/ROW]
[ROW][C]0.26[/C][C]4.71371066912208[/C][C]0.0385800515801463[/C][/ROW]
[ROW][C]0.27[/C][C]4.72276554813465[/C][C]0.0406639326462117[/C][/ROW]
[ROW][C]0.28[/C][C]4.73216923705287[/C][C]0.0439735691428808[/C][/ROW]
[ROW][C]0.29[/C][C]4.74217215255611[/C][C]0.0481784316292269[/C][/ROW]
[ROW][C]0.3[/C][C]4.75296084482781[/C][C]0.0529988956388918[/C][/ROW]
[ROW][C]0.31[/C][C]4.76466241630866[/C][C]0.0581828249401455[/C][/ROW]
[ROW][C]0.32[/C][C]4.77735463814987[/C][C]0.0635385830068515[/C][/ROW]
[ROW][C]0.33[/C][C]4.79107926856916[/C][C]0.0689667346832092[/C][/ROW]
[ROW][C]0.34[/C][C]4.80585572590283[/C][C]0.0744539243515616[/C][/ROW]
[ROW][C]0.35[/C][C]4.82169224211556[/C][C]0.0799955229642988[/C][/ROW]
[ROW][C]0.36[/C][C]4.83859221850627[/C][C]0.0856125712893386[/C][/ROW]
[ROW][C]0.37[/C][C]4.85655472639158[/C][C]0.0912929726147096[/C][/ROW]
[ROW][C]0.38[/C][C]4.87556964353928[/C][C]0.0969501581771606[/C][/ROW]
[ROW][C]0.39[/C][C]4.89560934094798[/C][C]0.102467173022457[/C][/ROW]
[ROW][C]0.4[/C][C]4.91661972750105[/C][C]0.107637941497212[/C][/ROW]
[ROW][C]0.41[/C][C]4.93851360762749[/C][C]0.112259880660012[/C][/ROW]
[ROW][C]0.42[/C][C]4.96116873224695[/C][C]0.116128607768519[/C][/ROW]
[ROW][C]0.43[/C][C]4.9844318341725[/C][C]0.119077426069560[/C][/ROW]
[ROW][C]0.44[/C][C]5.00812862761698[/C][C]0.121008915833318[/C][/ROW]
[ROW][C]0.45[/C][C]5.03207849677699[/C][C]0.121919381306444[/C][/ROW]
[ROW][C]0.46[/C][C]5.05611161189724[/C][C]0.121918177285659[/C][/ROW]
[ROW][C]0.47[/C][C]5.08008562531355[/C][C]0.121196736987051[/C][/ROW]
[ROW][C]0.48[/C][C]5.10389898387908[/C][C]0.12001444333687[/C][/ROW]
[ROW][C]0.49[/C][C]5.12749826988779[/C][C]0.118654847976761[/C][/ROW]
[ROW][C]0.5[/C][C]5.15087782670634[/C][C]0.117402237263752[/C][/ROW]
[ROW][C]0.51[/C][C]5.1740711560201[/C][C]0.116456693915985[/C][/ROW]
[ROW][C]0.52[/C][C]5.1971350350154[/C][C]0.115927770464112[/C][/ROW]
[ROW][C]0.53[/C][C]5.22012876147912[/C][C]0.115778067517558[/C][/ROW]
[ROW][C]0.54[/C][C]5.24309210631043[/C][C]0.115821386571674[/C][/ROW]
[ROW][C]0.55[/C][C]5.26602614722817[/C][C]0.115800397676759[/C][/ROW]
[ROW][C]0.56[/C][C]5.28888095529198[/C][C]0.115351321448694[/C][/ROW]
[ROW][C]0.57[/C][C]5.31155303445942[/C][C]0.114178252792462[/C][/ROW]
[ROW][C]0.58[/C][C]5.33389360349344[/C][C]0.112034491162889[/C][/ROW]
[ROW][C]0.59[/C][C]5.35572660068463[/C][C]0.108805617226148[/C][/ROW]
[ROW][C]0.6[/C][C]5.37687318312592[/C][C]0.104536675927357[/C][/ROW]
[ROW][C]0.61[/C][C]5.39717801908157[/C][C]0.0994284686223866[/C][/ROW]
[ROW][C]0.62[/C][C]5.41653225102717[/C][C]0.0937960356691993[/C][/ROW]
[ROW][C]0.63[/C][C]5.43488879294195[/C][C]0.0880151792673191[/C][/ROW]
[ROW][C]0.64[/C][C]5.45226743750949[/C][C]0.082501547094771[/C][/ROW]
[ROW][C]0.65[/C][C]5.46874960563478[/C][C]0.0775641536832399[/C][/ROW]
[ROW][C]0.66[/C][C]5.48446483362967[/C][C]0.0734370703372438[/C][/ROW]
[ROW][C]0.67[/C][C]5.49957267110243[/C][C]0.0702151368966931[/C][/ROW]
[ROW][C]0.68[/C][C]5.51424419669181[/C][C]0.067885052031635[/C][/ROW]
[ROW][C]0.69[/C][C]5.52864681720655[/C][C]0.066347147235701[/C][/ROW]
[ROW][C]0.7[/C][C]5.542934659382[/C][C]0.0654651226308935[/C][/ROW]
[ROW][C]0.71[/C][C]5.55724511492245[/C][C]0.0651250139133753[/C][/ROW]
[ROW][C]0.72[/C][C]5.5717003895108[/C][C]0.065233169582819[/C][/ROW]
[ROW][C]0.73[/C][C]5.58641157804487[/C][C]0.0657308211793343[/C][/ROW]
[ROW][C]0.74[/C][C]5.60148209014612[/C][C]0.066593453415284[/C][/ROW]
[ROW][C]0.75[/C][C]5.61700737673474[/C][C]0.0678060846134022[/C][/ROW]
[ROW][C]0.76[/C][C]5.63306899789883[/C][C]0.0693053654314117[/C][/ROW]
[ROW][C]0.77[/C][C]5.64972309133345[/C][C]0.0709723320265844[/C][/ROW]
[ROW][C]0.78[/C][C]5.66698585640567[/C][C]0.0725905817045778[/C][/ROW]
[ROW][C]0.79[/C][C]5.68482090389004[/C][C]0.0738856846730563[/C][/ROW]
[ROW][C]0.8[/C][C]5.70313409519262[/C][C]0.0745611630027856[/C][/ROW]
[ROW][C]0.81[/C][C]5.72177993010087[/C][C]0.0743745040461307[/C][/ROW]
[ROW][C]0.82[/C][C]5.74057973375065[/C][C]0.0732314162026173[/C][/ROW]
[ROW][C]0.83[/C][C]5.75934730653658[/C][C]0.0711754164623927[/C][/ROW]
[ROW][C]0.84[/C][C]5.77791475799706[/C][C]0.068393926362138[/C][/ROW]
[ROW][C]0.85[/C][C]5.79615199923244[/C][C]0.0651346730313625[/C][/ROW]
[ROW][C]0.86[/C][C]5.81397784040026[/C][C]0.0616267905519643[/C][/ROW]
[ROW][C]0.87[/C][C]5.83136599279164[/C][C]0.0580508754891511[/C][/ROW]
[ROW][C]0.88[/C][C]5.84835089789[/C][C]0.0545698700907118[/C][/ROW]
[ROW][C]0.89[/C][C]5.86503295432399[/C][C]0.0513743266654382[/C][/ROW]
[ROW][C]0.9[/C][C]5.8815722925159[/C][C]0.0486805025713547[/C][/ROW]
[ROW][C]0.91[/C][C]5.89815335719271[/C][C]0.046598198718541[/C][/ROW]
[ROW][C]0.92[/C][C]5.91491054328372[/C][C]0.0449288674095826[/C][/ROW]
[ROW][C]0.93[/C][C]5.93183169887573[/C][C]0.0430691943660709[/C][/ROW]
[ROW][C]0.94[/C][C]5.9486868133664[/C][C]0.0402291379640499[/C][/ROW]
[ROW][C]0.95[/C][C]5.96503462236812[/C][C]0.0358813113252386[/C][/ROW]
[ROW][C]0.96[/C][C]5.98032442630054[/C][C]0.0300753260744641[/C][/ROW]
[ROW][C]0.97[/C][C]5.99404816286304[/C][C]0.0233523340949118[/C][/ROW]
[ROW][C]0.98[/C][C]6.00579584989868[/C][C]0.0165824119565826[/C][/ROW]
[ROW][C]0.99[/C][C]6.01492386212826[/C][C]0.0114890503146275[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9798&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9798&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
0.014.431104694696670.00297837627783683
0.024.433673335617920.00565215795319215
0.034.437345186708990.00751744760507691
0.044.441833987506840.0102718245536995
0.054.447247501940140.0142770454877252
0.064.453807090035390.0186549560384695
0.074.461567895405370.0226953627638574
0.084.470412499564210.0263384467729299
0.094.480203421186220.0300367540965853
0.14.49091252607110.0343779531347518
0.114.502647605788060.0397540830276914
0.124.515589402387980.046149440822135
0.134.529886827163480.0531070890866718
0.144.545556153663720.0597935860724076
0.154.562417423197030.0652486923168901
0.164.580086883187280.068606551794993
0.174.598027541098760.069379879801636
0.184.615642352545190.0675261753058794
0.194.632381936232520.0634960580291956
0.24.647836472889320.0580620108825842
0.214.661790106558520.052136646202687
0.224.674230883436930.0465896079488018
0.234.685323157292810.0421213986526631
0.244.695357453915770.0392008279619097
0.254.704693815863410.0380351873984286
0.264.713710669122080.0385800515801463
0.274.722765548134650.0406639326462117
0.284.732169237052870.0439735691428808
0.294.742172152556110.0481784316292269
0.34.752960844827810.0529988956388918
0.314.764662416308660.0581828249401455
0.324.777354638149870.0635385830068515
0.334.791079268569160.0689667346832092
0.344.805855725902830.0744539243515616
0.354.821692242115560.0799955229642988
0.364.838592218506270.0856125712893386
0.374.856554726391580.0912929726147096
0.384.875569643539280.0969501581771606
0.394.895609340947980.102467173022457
0.44.916619727501050.107637941497212
0.414.938513607627490.112259880660012
0.424.961168732246950.116128607768519
0.434.98443183417250.119077426069560
0.445.008128627616980.121008915833318
0.455.032078496776990.121919381306444
0.465.056111611897240.121918177285659
0.475.080085625313550.121196736987051
0.485.103898983879080.12001444333687
0.495.127498269887790.118654847976761
0.55.150877826706340.117402237263752
0.515.17407115602010.116456693915985
0.525.19713503501540.115927770464112
0.535.220128761479120.115778067517558
0.545.243092106310430.115821386571674
0.555.266026147228170.115800397676759
0.565.288880955291980.115351321448694
0.575.311553034459420.114178252792462
0.585.333893603493440.112034491162889
0.595.355726600684630.108805617226148
0.65.376873183125920.104536675927357
0.615.397178019081570.0994284686223866
0.625.416532251027170.0937960356691993
0.635.434888792941950.0880151792673191
0.645.452267437509490.082501547094771
0.655.468749605634780.0775641536832399
0.665.484464833629670.0734370703372438
0.675.499572671102430.0702151368966931
0.685.514244196691810.067885052031635
0.695.528646817206550.066347147235701
0.75.5429346593820.0654651226308935
0.715.557245114922450.0651250139133753
0.725.57170038951080.065233169582819
0.735.586411578044870.0657308211793343
0.745.601482090146120.066593453415284
0.755.617007376734740.0678060846134022
0.765.633068997898830.0693053654314117
0.775.649723091333450.0709723320265844
0.785.666985856405670.0725905817045778
0.795.684820903890040.0738856846730563
0.85.703134095192620.0745611630027856
0.815.721779930100870.0743745040461307
0.825.740579733750650.0732314162026173
0.835.759347306536580.0711754164623927
0.845.777914757997060.068393926362138
0.855.796151999232440.0651346730313625
0.865.813977840400260.0616267905519643
0.875.831365992791640.0580508754891511
0.885.848350897890.0545698700907118
0.895.865032954323990.0513743266654382
0.95.88157229251590.0486805025713547
0.915.898153357192710.046598198718541
0.925.914910543283720.0449288674095826
0.935.931831698875730.0430691943660709
0.945.94868681336640.0402291379640499
0.955.965034622368120.0358813113252386
0.965.980324426300540.0300753260744641
0.975.994048162863040.0233523340949118
0.986.005795849898680.0165824119565826
0.996.014923862128260.0114890503146275


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')