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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, 05 Oct 2014 22:50:47 +0100
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/Oct/05/t1412546044r8nafrdmdfazncx.htm/, Retrieved Tue, 21 Apr 2026 06:10:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238925, Retrieved Tue, 21 Apr 2026 06:10:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact311

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] [] [2014-10-05 21:50:47] [0d07a52a2a76253e93d9e0b2a80fc19c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
103.77
103.82
103.86
103.9
103.63
103.65
103.7
103.77
103.94
104.03
104.03
104.29
104.35
104.67
104.73
104.86
104.05
104.15
104.27
104.33
104.41
104.4
104.41
104.6
104.61
104.65
104.55
104.51
104.74
104.89
104.91
104.93
104.95
104.97
105.16
105.29
105.35
105.36
105.45
105.3
105.73
105.86
105.85
105.95
105.97
106.15
105.37
105.39
105.39
105.38
105.23
105.34
104.98
105.16
105.27
105.27
105.33
105.33
105.46
105.54
105.59
105.57
105.62
105.57
105.33
105.34
105.5
105.47
105.59
105.65
105.8
105.87

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238925&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238925&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238925&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01103.6408898915640.0297893770539277
0.02103.6615452066260.0456539790178704
0.03103.6884547393970.0577787541488559
0.04103.7180368208670.0641988586184233
0.05103.7479866095750.0678938988229773
0.06103.7774345012680.0721515088014437
0.07103.8065175210420.0784608342736834
0.08103.8357898240450.0864593759417575
0.09103.8657834860150.0950687335352054
0.1103.8968234786280.103769949161238
0.11103.9290300354920.112344873529387
0.12103.9623910579920.120616011871218
0.13103.9968217649180.128631322086949
0.14104.0321838491530.135975742573877
0.15104.0682749614970.142378904414242
0.16104.1048139021630.147303721923942
0.17104.1414435331910.150085362517292
0.18104.1777608233580.150577014084652
0.19104.2133692488230.149010539739109
0.2104.2479387053230.145843910924002
0.21104.2812551690770.141810332057479
0.22104.3132464590760.137887635374871
0.23104.3439788990060.134618404812081
0.24104.3736286679840.132523472881621
0.25104.4024379775870.131637506740002
0.26104.4306683761540.132019684733564
0.27104.4585616964510.133296258835665
0.28104.4863148798170.135130823541667
0.29104.5140699786020.13721728619803
0.3104.5419166211960.139441532345471
0.31104.5699020154050.141696026147381
0.32104.598043322980.143778124755846
0.33104.6263385262920.145619927326593
0.34104.6547739591980.147477397728194
0.35104.683328666360.149017146049646
0.36104.7119770504630.150489405591663
0.37104.7406915605040.151746115902915
0.38104.7694465356760.152737745600018
0.39104.7982231222130.153385731347985
0.4104.8270139541860.154047964582675
0.41104.8558255363950.154631988606227
0.42104.8846763047350.155471575705905
0.43104.9135892046950.156462068551877
0.44104.9425790803130.157532508275014
0.45104.9716367670750.158765371499152
0.46105.0007130416770.159359551660486
0.47105.0297061051290.159446339771616
0.48105.0584558828480.158297866502482
0.49105.0867471968140.155712754833631
0.5105.1143221115990.151419099519849
0.51105.1408999214870.145251925097466
0.52105.1662017765090.137520393319277
0.53105.1899761676950.128229592433072
0.54105.2120215348480.11794588012502
0.55105.2322030382680.106947137751269
0.56105.2504617957570.095745808230243
0.57105.2668162932380.0850166582733657
0.58105.2813569133490.0747997397966215
0.59105.2942353673610.0656810285679321
0.6105.3056511705440.0576874615033237
0.61105.3158372057030.051056171676765
0.62105.3250459993560.0459354388567586
0.63105.3335377513050.0422890752745795
0.64105.3415705613120.0400692328865565
0.65105.3493927953710.0392288296995405
0.66105.3572371885950.0395177152219432
0.67105.3653161094340.0409412237697692
0.68105.3738173995070.0431654545152977
0.69105.3829003271160.0461672789923292
0.7105.3926914152150.0496276712135845
0.71105.4032801905340.0534047042046695
0.72105.4147152204740.0571542536814443
0.73105.4270011399610.0607477798874858
0.74105.4400977111290.0639963401279725
0.75105.4539222809360.0666144436822793
0.76105.4683572360140.068391091116859
0.77105.4832640502560.0693793488372056
0.78105.4985050451450.06946783784067
0.79105.513972770080.0688628610556611
0.8105.5296247845540.0678146660389986
0.81105.5455186686980.0668444680124157
0.82105.5618388089790.0665078497301327
0.83105.5789039204640.0675132562794423
0.84105.5971438542140.0705093977181458
0.85105.6170376733540.0754363078448636
0.86105.6390136016930.0820374200905203
0.87105.6633253901710.0891525610276322
0.88105.6899366700530.0954294710533865
0.89105.7184591712690.0992435340248347
0.9105.7481927070660.0993428723497842
0.91105.7782941281020.0953297054368632
0.92105.8080570017920.0878863880992226
0.93105.837236320530.0789845797814088
0.94105.8663598413330.0712386940156472
0.95105.8970708116030.0667758556617507
0.96105.9325824361380.0670033708149527
0.97105.9776897470810.0758011751432647
0.98106.0359836825690.101000562779525
0.99106.1013946053280.141912573434996

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 103.640889891564 & 0.0297893770539277 \tabularnewline
0.02 & 103.661545206626 & 0.0456539790178704 \tabularnewline
0.03 & 103.688454739397 & 0.0577787541488559 \tabularnewline
0.04 & 103.718036820867 & 0.0641988586184233 \tabularnewline
0.05 & 103.747986609575 & 0.0678938988229773 \tabularnewline
0.06 & 103.777434501268 & 0.0721515088014437 \tabularnewline
0.07 & 103.806517521042 & 0.0784608342736834 \tabularnewline
0.08 & 103.835789824045 & 0.0864593759417575 \tabularnewline
0.09 & 103.865783486015 & 0.0950687335352054 \tabularnewline
0.1 & 103.896823478628 & 0.103769949161238 \tabularnewline
0.11 & 103.929030035492 & 0.112344873529387 \tabularnewline
0.12 & 103.962391057992 & 0.120616011871218 \tabularnewline
0.13 & 103.996821764918 & 0.128631322086949 \tabularnewline
0.14 & 104.032183849153 & 0.135975742573877 \tabularnewline
0.15 & 104.068274961497 & 0.142378904414242 \tabularnewline
0.16 & 104.104813902163 & 0.147303721923942 \tabularnewline
0.17 & 104.141443533191 & 0.150085362517292 \tabularnewline
0.18 & 104.177760823358 & 0.150577014084652 \tabularnewline
0.19 & 104.213369248823 & 0.149010539739109 \tabularnewline
0.2 & 104.247938705323 & 0.145843910924002 \tabularnewline
0.21 & 104.281255169077 & 0.141810332057479 \tabularnewline
0.22 & 104.313246459076 & 0.137887635374871 \tabularnewline
0.23 & 104.343978899006 & 0.134618404812081 \tabularnewline
0.24 & 104.373628667984 & 0.132523472881621 \tabularnewline
0.25 & 104.402437977587 & 0.131637506740002 \tabularnewline
0.26 & 104.430668376154 & 0.132019684733564 \tabularnewline
0.27 & 104.458561696451 & 0.133296258835665 \tabularnewline
0.28 & 104.486314879817 & 0.135130823541667 \tabularnewline
0.29 & 104.514069978602 & 0.13721728619803 \tabularnewline
0.3 & 104.541916621196 & 0.139441532345471 \tabularnewline
0.31 & 104.569902015405 & 0.141696026147381 \tabularnewline
0.32 & 104.59804332298 & 0.143778124755846 \tabularnewline
0.33 & 104.626338526292 & 0.145619927326593 \tabularnewline
0.34 & 104.654773959198 & 0.147477397728194 \tabularnewline
0.35 & 104.68332866636 & 0.149017146049646 \tabularnewline
0.36 & 104.711977050463 & 0.150489405591663 \tabularnewline
0.37 & 104.740691560504 & 0.151746115902915 \tabularnewline
0.38 & 104.769446535676 & 0.152737745600018 \tabularnewline
0.39 & 104.798223122213 & 0.153385731347985 \tabularnewline
0.4 & 104.827013954186 & 0.154047964582675 \tabularnewline
0.41 & 104.855825536395 & 0.154631988606227 \tabularnewline
0.42 & 104.884676304735 & 0.155471575705905 \tabularnewline
0.43 & 104.913589204695 & 0.156462068551877 \tabularnewline
0.44 & 104.942579080313 & 0.157532508275014 \tabularnewline
0.45 & 104.971636767075 & 0.158765371499152 \tabularnewline
0.46 & 105.000713041677 & 0.159359551660486 \tabularnewline
0.47 & 105.029706105129 & 0.159446339771616 \tabularnewline
0.48 & 105.058455882848 & 0.158297866502482 \tabularnewline
0.49 & 105.086747196814 & 0.155712754833631 \tabularnewline
0.5 & 105.114322111599 & 0.151419099519849 \tabularnewline
0.51 & 105.140899921487 & 0.145251925097466 \tabularnewline
0.52 & 105.166201776509 & 0.137520393319277 \tabularnewline
0.53 & 105.189976167695 & 0.128229592433072 \tabularnewline
0.54 & 105.212021534848 & 0.11794588012502 \tabularnewline
0.55 & 105.232203038268 & 0.106947137751269 \tabularnewline
0.56 & 105.250461795757 & 0.095745808230243 \tabularnewline
0.57 & 105.266816293238 & 0.0850166582733657 \tabularnewline
0.58 & 105.281356913349 & 0.0747997397966215 \tabularnewline
0.59 & 105.294235367361 & 0.0656810285679321 \tabularnewline
0.6 & 105.305651170544 & 0.0576874615033237 \tabularnewline
0.61 & 105.315837205703 & 0.051056171676765 \tabularnewline
0.62 & 105.325045999356 & 0.0459354388567586 \tabularnewline
0.63 & 105.333537751305 & 0.0422890752745795 \tabularnewline
0.64 & 105.341570561312 & 0.0400692328865565 \tabularnewline
0.65 & 105.349392795371 & 0.0392288296995405 \tabularnewline
0.66 & 105.357237188595 & 0.0395177152219432 \tabularnewline
0.67 & 105.365316109434 & 0.0409412237697692 \tabularnewline
0.68 & 105.373817399507 & 0.0431654545152977 \tabularnewline
0.69 & 105.382900327116 & 0.0461672789923292 \tabularnewline
0.7 & 105.392691415215 & 0.0496276712135845 \tabularnewline
0.71 & 105.403280190534 & 0.0534047042046695 \tabularnewline
0.72 & 105.414715220474 & 0.0571542536814443 \tabularnewline
0.73 & 105.427001139961 & 0.0607477798874858 \tabularnewline
0.74 & 105.440097711129 & 0.0639963401279725 \tabularnewline
0.75 & 105.453922280936 & 0.0666144436822793 \tabularnewline
0.76 & 105.468357236014 & 0.068391091116859 \tabularnewline
0.77 & 105.483264050256 & 0.0693793488372056 \tabularnewline
0.78 & 105.498505045145 & 0.06946783784067 \tabularnewline
0.79 & 105.51397277008 & 0.0688628610556611 \tabularnewline
0.8 & 105.529624784554 & 0.0678146660389986 \tabularnewline
0.81 & 105.545518668698 & 0.0668444680124157 \tabularnewline
0.82 & 105.561838808979 & 0.0665078497301327 \tabularnewline
0.83 & 105.578903920464 & 0.0675132562794423 \tabularnewline
0.84 & 105.597143854214 & 0.0705093977181458 \tabularnewline
0.85 & 105.617037673354 & 0.0754363078448636 \tabularnewline
0.86 & 105.639013601693 & 0.0820374200905203 \tabularnewline
0.87 & 105.663325390171 & 0.0891525610276322 \tabularnewline
0.88 & 105.689936670053 & 0.0954294710533865 \tabularnewline
0.89 & 105.718459171269 & 0.0992435340248347 \tabularnewline
0.9 & 105.748192707066 & 0.0993428723497842 \tabularnewline
0.91 & 105.778294128102 & 0.0953297054368632 \tabularnewline
0.92 & 105.808057001792 & 0.0878863880992226 \tabularnewline
0.93 & 105.83723632053 & 0.0789845797814088 \tabularnewline
0.94 & 105.866359841333 & 0.0712386940156472 \tabularnewline
0.95 & 105.897070811603 & 0.0667758556617507 \tabularnewline
0.96 & 105.932582436138 & 0.0670033708149527 \tabularnewline
0.97 & 105.977689747081 & 0.0758011751432647 \tabularnewline
0.98 & 106.035983682569 & 0.101000562779525 \tabularnewline
0.99 & 106.101394605328 & 0.141912573434996 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238925&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]103.640889891564[/C][C]0.0297893770539277[/C][/ROW]
[ROW][C]0.02[/C][C]103.661545206626[/C][C]0.0456539790178704[/C][/ROW]
[ROW][C]0.03[/C][C]103.688454739397[/C][C]0.0577787541488559[/C][/ROW]
[ROW][C]0.04[/C][C]103.718036820867[/C][C]0.0641988586184233[/C][/ROW]
[ROW][C]0.05[/C][C]103.747986609575[/C][C]0.0678938988229773[/C][/ROW]
[ROW][C]0.06[/C][C]103.777434501268[/C][C]0.0721515088014437[/C][/ROW]
[ROW][C]0.07[/C][C]103.806517521042[/C][C]0.0784608342736834[/C][/ROW]
[ROW][C]0.08[/C][C]103.835789824045[/C][C]0.0864593759417575[/C][/ROW]
[ROW][C]0.09[/C][C]103.865783486015[/C][C]0.0950687335352054[/C][/ROW]
[ROW][C]0.1[/C][C]103.896823478628[/C][C]0.103769949161238[/C][/ROW]
[ROW][C]0.11[/C][C]103.929030035492[/C][C]0.112344873529387[/C][/ROW]
[ROW][C]0.12[/C][C]103.962391057992[/C][C]0.120616011871218[/C][/ROW]
[ROW][C]0.13[/C][C]103.996821764918[/C][C]0.128631322086949[/C][/ROW]
[ROW][C]0.14[/C][C]104.032183849153[/C][C]0.135975742573877[/C][/ROW]
[ROW][C]0.15[/C][C]104.068274961497[/C][C]0.142378904414242[/C][/ROW]
[ROW][C]0.16[/C][C]104.104813902163[/C][C]0.147303721923942[/C][/ROW]
[ROW][C]0.17[/C][C]104.141443533191[/C][C]0.150085362517292[/C][/ROW]
[ROW][C]0.18[/C][C]104.177760823358[/C][C]0.150577014084652[/C][/ROW]
[ROW][C]0.19[/C][C]104.213369248823[/C][C]0.149010539739109[/C][/ROW]
[ROW][C]0.2[/C][C]104.247938705323[/C][C]0.145843910924002[/C][/ROW]
[ROW][C]0.21[/C][C]104.281255169077[/C][C]0.141810332057479[/C][/ROW]
[ROW][C]0.22[/C][C]104.313246459076[/C][C]0.137887635374871[/C][/ROW]
[ROW][C]0.23[/C][C]104.343978899006[/C][C]0.134618404812081[/C][/ROW]
[ROW][C]0.24[/C][C]104.373628667984[/C][C]0.132523472881621[/C][/ROW]
[ROW][C]0.25[/C][C]104.402437977587[/C][C]0.131637506740002[/C][/ROW]
[ROW][C]0.26[/C][C]104.430668376154[/C][C]0.132019684733564[/C][/ROW]
[ROW][C]0.27[/C][C]104.458561696451[/C][C]0.133296258835665[/C][/ROW]
[ROW][C]0.28[/C][C]104.486314879817[/C][C]0.135130823541667[/C][/ROW]
[ROW][C]0.29[/C][C]104.514069978602[/C][C]0.13721728619803[/C][/ROW]
[ROW][C]0.3[/C][C]104.541916621196[/C][C]0.139441532345471[/C][/ROW]
[ROW][C]0.31[/C][C]104.569902015405[/C][C]0.141696026147381[/C][/ROW]
[ROW][C]0.32[/C][C]104.59804332298[/C][C]0.143778124755846[/C][/ROW]
[ROW][C]0.33[/C][C]104.626338526292[/C][C]0.145619927326593[/C][/ROW]
[ROW][C]0.34[/C][C]104.654773959198[/C][C]0.147477397728194[/C][/ROW]
[ROW][C]0.35[/C][C]104.68332866636[/C][C]0.149017146049646[/C][/ROW]
[ROW][C]0.36[/C][C]104.711977050463[/C][C]0.150489405591663[/C][/ROW]
[ROW][C]0.37[/C][C]104.740691560504[/C][C]0.151746115902915[/C][/ROW]
[ROW][C]0.38[/C][C]104.769446535676[/C][C]0.152737745600018[/C][/ROW]
[ROW][C]0.39[/C][C]104.798223122213[/C][C]0.153385731347985[/C][/ROW]
[ROW][C]0.4[/C][C]104.827013954186[/C][C]0.154047964582675[/C][/ROW]
[ROW][C]0.41[/C][C]104.855825536395[/C][C]0.154631988606227[/C][/ROW]
[ROW][C]0.42[/C][C]104.884676304735[/C][C]0.155471575705905[/C][/ROW]
[ROW][C]0.43[/C][C]104.913589204695[/C][C]0.156462068551877[/C][/ROW]
[ROW][C]0.44[/C][C]104.942579080313[/C][C]0.157532508275014[/C][/ROW]
[ROW][C]0.45[/C][C]104.971636767075[/C][C]0.158765371499152[/C][/ROW]
[ROW][C]0.46[/C][C]105.000713041677[/C][C]0.159359551660486[/C][/ROW]
[ROW][C]0.47[/C][C]105.029706105129[/C][C]0.159446339771616[/C][/ROW]
[ROW][C]0.48[/C][C]105.058455882848[/C][C]0.158297866502482[/C][/ROW]
[ROW][C]0.49[/C][C]105.086747196814[/C][C]0.155712754833631[/C][/ROW]
[ROW][C]0.5[/C][C]105.114322111599[/C][C]0.151419099519849[/C][/ROW]
[ROW][C]0.51[/C][C]105.140899921487[/C][C]0.145251925097466[/C][/ROW]
[ROW][C]0.52[/C][C]105.166201776509[/C][C]0.137520393319277[/C][/ROW]
[ROW][C]0.53[/C][C]105.189976167695[/C][C]0.128229592433072[/C][/ROW]
[ROW][C]0.54[/C][C]105.212021534848[/C][C]0.11794588012502[/C][/ROW]
[ROW][C]0.55[/C][C]105.232203038268[/C][C]0.106947137751269[/C][/ROW]
[ROW][C]0.56[/C][C]105.250461795757[/C][C]0.095745808230243[/C][/ROW]
[ROW][C]0.57[/C][C]105.266816293238[/C][C]0.0850166582733657[/C][/ROW]
[ROW][C]0.58[/C][C]105.281356913349[/C][C]0.0747997397966215[/C][/ROW]
[ROW][C]0.59[/C][C]105.294235367361[/C][C]0.0656810285679321[/C][/ROW]
[ROW][C]0.6[/C][C]105.305651170544[/C][C]0.0576874615033237[/C][/ROW]
[ROW][C]0.61[/C][C]105.315837205703[/C][C]0.051056171676765[/C][/ROW]
[ROW][C]0.62[/C][C]105.325045999356[/C][C]0.0459354388567586[/C][/ROW]
[ROW][C]0.63[/C][C]105.333537751305[/C][C]0.0422890752745795[/C][/ROW]
[ROW][C]0.64[/C][C]105.341570561312[/C][C]0.0400692328865565[/C][/ROW]
[ROW][C]0.65[/C][C]105.349392795371[/C][C]0.0392288296995405[/C][/ROW]
[ROW][C]0.66[/C][C]105.357237188595[/C][C]0.0395177152219432[/C][/ROW]
[ROW][C]0.67[/C][C]105.365316109434[/C][C]0.0409412237697692[/C][/ROW]
[ROW][C]0.68[/C][C]105.373817399507[/C][C]0.0431654545152977[/C][/ROW]
[ROW][C]0.69[/C][C]105.382900327116[/C][C]0.0461672789923292[/C][/ROW]
[ROW][C]0.7[/C][C]105.392691415215[/C][C]0.0496276712135845[/C][/ROW]
[ROW][C]0.71[/C][C]105.403280190534[/C][C]0.0534047042046695[/C][/ROW]
[ROW][C]0.72[/C][C]105.414715220474[/C][C]0.0571542536814443[/C][/ROW]
[ROW][C]0.73[/C][C]105.427001139961[/C][C]0.0607477798874858[/C][/ROW]
[ROW][C]0.74[/C][C]105.440097711129[/C][C]0.0639963401279725[/C][/ROW]
[ROW][C]0.75[/C][C]105.453922280936[/C][C]0.0666144436822793[/C][/ROW]
[ROW][C]0.76[/C][C]105.468357236014[/C][C]0.068391091116859[/C][/ROW]
[ROW][C]0.77[/C][C]105.483264050256[/C][C]0.0693793488372056[/C][/ROW]
[ROW][C]0.78[/C][C]105.498505045145[/C][C]0.06946783784067[/C][/ROW]
[ROW][C]0.79[/C][C]105.51397277008[/C][C]0.0688628610556611[/C][/ROW]
[ROW][C]0.8[/C][C]105.529624784554[/C][C]0.0678146660389986[/C][/ROW]
[ROW][C]0.81[/C][C]105.545518668698[/C][C]0.0668444680124157[/C][/ROW]
[ROW][C]0.82[/C][C]105.561838808979[/C][C]0.0665078497301327[/C][/ROW]
[ROW][C]0.83[/C][C]105.578903920464[/C][C]0.0675132562794423[/C][/ROW]
[ROW][C]0.84[/C][C]105.597143854214[/C][C]0.0705093977181458[/C][/ROW]
[ROW][C]0.85[/C][C]105.617037673354[/C][C]0.0754363078448636[/C][/ROW]
[ROW][C]0.86[/C][C]105.639013601693[/C][C]0.0820374200905203[/C][/ROW]
[ROW][C]0.87[/C][C]105.663325390171[/C][C]0.0891525610276322[/C][/ROW]
[ROW][C]0.88[/C][C]105.689936670053[/C][C]0.0954294710533865[/C][/ROW]
[ROW][C]0.89[/C][C]105.718459171269[/C][C]0.0992435340248347[/C][/ROW]
[ROW][C]0.9[/C][C]105.748192707066[/C][C]0.0993428723497842[/C][/ROW]
[ROW][C]0.91[/C][C]105.778294128102[/C][C]0.0953297054368632[/C][/ROW]
[ROW][C]0.92[/C][C]105.808057001792[/C][C]0.0878863880992226[/C][/ROW]
[ROW][C]0.93[/C][C]105.83723632053[/C][C]0.0789845797814088[/C][/ROW]
[ROW][C]0.94[/C][C]105.866359841333[/C][C]0.0712386940156472[/C][/ROW]
[ROW][C]0.95[/C][C]105.897070811603[/C][C]0.0667758556617507[/C][/ROW]
[ROW][C]0.96[/C][C]105.932582436138[/C][C]0.0670033708149527[/C][/ROW]
[ROW][C]0.97[/C][C]105.977689747081[/C][C]0.0758011751432647[/C][/ROW]
[ROW][C]0.98[/C][C]106.035983682569[/C][C]0.101000562779525[/C][/ROW]
[ROW][C]0.99[/C][C]106.101394605328[/C][C]0.141912573434996[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238925&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238925&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
0.01103.6408898915640.0297893770539277
0.02103.6615452066260.0456539790178704
0.03103.6884547393970.0577787541488559
0.04103.7180368208670.0641988586184233
0.05103.7479866095750.0678938988229773
0.06103.7774345012680.0721515088014437
0.07103.8065175210420.0784608342736834
0.08103.8357898240450.0864593759417575
0.09103.8657834860150.0950687335352054
0.1103.8968234786280.103769949161238
0.11103.9290300354920.112344873529387
0.12103.9623910579920.120616011871218
0.13103.9968217649180.128631322086949
0.14104.0321838491530.135975742573877
0.15104.0682749614970.142378904414242
0.16104.1048139021630.147303721923942
0.17104.1414435331910.150085362517292
0.18104.1777608233580.150577014084652
0.19104.2133692488230.149010539739109
0.2104.2479387053230.145843910924002
0.21104.2812551690770.141810332057479
0.22104.3132464590760.137887635374871
0.23104.3439788990060.134618404812081
0.24104.3736286679840.132523472881621
0.25104.4024379775870.131637506740002
0.26104.4306683761540.132019684733564
0.27104.4585616964510.133296258835665
0.28104.4863148798170.135130823541667
0.29104.5140699786020.13721728619803
0.3104.5419166211960.139441532345471
0.31104.5699020154050.141696026147381
0.32104.598043322980.143778124755846
0.33104.6263385262920.145619927326593
0.34104.6547739591980.147477397728194
0.35104.683328666360.149017146049646
0.36104.7119770504630.150489405591663
0.37104.7406915605040.151746115902915
0.38104.7694465356760.152737745600018
0.39104.7982231222130.153385731347985
0.4104.8270139541860.154047964582675
0.41104.8558255363950.154631988606227
0.42104.8846763047350.155471575705905
0.43104.9135892046950.156462068551877
0.44104.9425790803130.157532508275014
0.45104.9716367670750.158765371499152
0.46105.0007130416770.159359551660486
0.47105.0297061051290.159446339771616
0.48105.0584558828480.158297866502482
0.49105.0867471968140.155712754833631
0.5105.1143221115990.151419099519849
0.51105.1408999214870.145251925097466
0.52105.1662017765090.137520393319277
0.53105.1899761676950.128229592433072
0.54105.2120215348480.11794588012502
0.55105.2322030382680.106947137751269
0.56105.2504617957570.095745808230243
0.57105.2668162932380.0850166582733657
0.58105.2813569133490.0747997397966215
0.59105.2942353673610.0656810285679321
0.6105.3056511705440.0576874615033237
0.61105.3158372057030.051056171676765
0.62105.3250459993560.0459354388567586
0.63105.3335377513050.0422890752745795
0.64105.3415705613120.0400692328865565
0.65105.3493927953710.0392288296995405
0.66105.3572371885950.0395177152219432
0.67105.3653161094340.0409412237697692
0.68105.3738173995070.0431654545152977
0.69105.3829003271160.0461672789923292
0.7105.3926914152150.0496276712135845
0.71105.4032801905340.0534047042046695
0.72105.4147152204740.0571542536814443
0.73105.4270011399610.0607477798874858
0.74105.4400977111290.0639963401279725
0.75105.4539222809360.0666144436822793
0.76105.4683572360140.068391091116859
0.77105.4832640502560.0693793488372056
0.78105.4985050451450.06946783784067
0.79105.513972770080.0688628610556611
0.8105.5296247845540.0678146660389986
0.81105.5455186686980.0668444680124157
0.82105.5618388089790.0665078497301327
0.83105.5789039204640.0675132562794423
0.84105.5971438542140.0705093977181458
0.85105.6170376733540.0754363078448636
0.86105.6390136016930.0820374200905203
0.87105.6633253901710.0891525610276322
0.88105.6899366700530.0954294710533865
0.89105.7184591712690.0992435340248347
0.9105.7481927070660.0993428723497842
0.91105.7782941281020.0953297054368632
0.92105.8080570017920.0878863880992226
0.93105.837236320530.0789845797814088
0.94105.8663598413330.0712386940156472
0.95105.8970708116030.0667758556617507
0.96105.9325824361380.0670033708149527
0.97105.9776897470810.0758011751432647
0.98106.0359836825690.101000562779525
0.99106.1013946053280.141912573434996


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')