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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 25 Feb 2013 12:17:56 -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/2013/Feb/25/t1361812693ubloracm5wwpmvo.htm/, Retrieved Fri, 03 May 2024 10:51:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206934, Retrieved Fri, 03 May 2024 10:51:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact125
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2013-02-25 15:21:43] [7c1d781e3a487991a6ec5bf00026d672]
- RMPD    [Harrell-Davis Quantiles] [] [2013-02-25 17:17:56] [b2d056cfd8f58045d93980b40d00d0d0] [Current]
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Dataseries X:
1,95
1,95
1,94
2,02
2,09
2,14
2,14
2,13
2,13
2,14
2,17
2,18
2,19
2,2
2,2
2,22
2,21
2,21
2,21
2,2
2,21
2,2
2,23
2,27
2,3
2,33
2,3
2,32
2,29
2,25
2,24
2,22
2,28
2,38
2,4
2,44
2,44
2,48
2,54
2,58
2,58
2,57
2,58
2,59
2,58
2,59
2,59
2,58
2,58
2,57
2,57
2,56
2,56
2,52
2,51
2,52
2,52
2,48
2,5
2,5
2,5
2,52
2,5
2,49
2,5
2,46
2,49
2,49
2,5
2,51
2,55
2,62
2,65
2,65
2,65
2,65
2,66
2,66
2,66
2,67
2,66
2,67




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206934&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206934&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206934&T=0

As an alternative you can also use a 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'Gwilym Jenkins' @ jenkins.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.946145508583190.0156220913836083
0.021.960242880447930.0339513646261904
0.031.982621423165920.0546200667197356
0.042.01119717656480.0670660513674605
0.052.041869101572470.0679508701371156
0.062.070498480110340.0601755537122574
0.072.094551633657270.048873687714684
0.082.113436207087240.0383529233585547
0.092.12790561932850.0309569667836017
0.12.139241230685280.0270805507548046
0.112.148646408347950.0257073649799257
0.122.156959849720210.0253823859657924
0.132.164618893287990.0250069318133761
0.142.171758095598480.0240432892926076
0.152.178347623358620.0224111269416128
0.162.184313354176330.0203078401397878
0.172.189614353901620.0180719402823649
0.182.194276621127760.0160522403813669
0.192.198394208630790.0145316664982057
0.22.202112247554650.0137100281568632
0.212.205604209871640.013680389587208
0.222.209051155968370.0144416597426388
0.232.212626207063690.0159257201464233
0.242.216484421221640.0180361140981554
0.252.220756925359560.0206530828484299
0.262.225548124731560.0236595460917694
0.272.23093535548540.0269372744150067
0.282.2369708289410.0303822128300497
0.292.243685786848180.0339138509852135
0.32.251096414566640.0374987224462644
0.312.259210454878640.0411211237789793
0.322.268032947280830.0448074051189848
0.332.277569374213470.0485879939473314
0.342.287824879618630.0524694933095633
0.352.298799102223180.0564080910180824
0.362.310477324143440.0602995194546486
0.372.322819750809860.0639631022617261
0.382.335751476657940.0671583562724385
0.392.349155815245430.0696275004168818
0.42.362873119276490.0711295225527782
0.412.376706117623370.0714664049936176
0.422.390431438416920.0705342032423512
0.432.403815718886650.0683212465413098
0.442.416633831322750.0649248039630299
0.452.428686460728620.0605276142697063
0.462.439814568033570.0553805183124695
0.472.449909027119460.0497741214307032
0.482.45891470517190.0439940953732708
0.492.466829217124070.0383151423152023
0.52.47369732920840.0329622369572588
0.512.479602407481080.028117936342978
0.522.484656396220650.0239045743503419
0.532.488989636720410.0204039896112258
0.542.492741507102140.0176455273538476
0.552.496052486792230.0156288027870665
0.562.49905790539870.0143201655446502
0.572.501883365046750.0136628034534419
0.582.504641633304360.0135736977912632
0.592.507430678744820.0139560110559434
0.62.510332453054020.0147116543353922
0.612.513412016410790.0157376221976214
0.622.516716672551940.016946522579354
0.632.520274938836160.0182386714883018
0.642.524095412795650.0195107000962541
0.652.528165860432340.0206599819493384
0.662.532453060527020.0215850631372355
0.672.536904004997770.0221857087024828
0.682.541448922534990.0223887797201417
0.692.546006273122040.0221516614394511
0.72.550489442759580.0214700054666454
0.712.554814489783430.0203785634541489
0.722.558908092797140.0189506836772096
0.732.562714898906250.0172907864325914
0.742.566203742207120.0155240147743046
0.752.569372570519760.0137823453160519
0.762.572252201533370.0122134105357482
0.772.574909053657690.0109673917777638
0.782.577446654795580.0102121027698623
0.792.580005029558720.010121870394744
0.82.58275616244060.0108334947726114
0.812.585892995141540.0123989836312174
0.822.589609432913510.0147409263931357
0.832.594070326112610.0176485861549621
0.842.599373846041650.0207699502020314
0.852.605513720337120.0236302200420214
0.862.612353618665610.0256996830890074
0.872.619627407489390.026506655101371
0.882.626973876473750.0257792836181354
0.892.634002373050040.023562663030974
0.92.640371062764810.020219195626879
0.912.645851318572920.0163317689754499
0.922.650358509847450.0124989913118453
0.932.653950535127790.00916531230922741
0.942.656814680757620.00657262979118623
0.952.659254137079170.00491372185203341
0.962.66163602980890.00445146969937514
0.972.664221079857010.00487497961468751
0.982.666884531519820.00472783732368719
0.992.669014944149730.0027171314890808

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.94614550858319 & 0.0156220913836083 \tabularnewline
0.02 & 1.96024288044793 & 0.0339513646261904 \tabularnewline
0.03 & 1.98262142316592 & 0.0546200667197356 \tabularnewline
0.04 & 2.0111971765648 & 0.0670660513674605 \tabularnewline
0.05 & 2.04186910157247 & 0.0679508701371156 \tabularnewline
0.06 & 2.07049848011034 & 0.0601755537122574 \tabularnewline
0.07 & 2.09455163365727 & 0.048873687714684 \tabularnewline
0.08 & 2.11343620708724 & 0.0383529233585547 \tabularnewline
0.09 & 2.1279056193285 & 0.0309569667836017 \tabularnewline
0.1 & 2.13924123068528 & 0.0270805507548046 \tabularnewline
0.11 & 2.14864640834795 & 0.0257073649799257 \tabularnewline
0.12 & 2.15695984972021 & 0.0253823859657924 \tabularnewline
0.13 & 2.16461889328799 & 0.0250069318133761 \tabularnewline
0.14 & 2.17175809559848 & 0.0240432892926076 \tabularnewline
0.15 & 2.17834762335862 & 0.0224111269416128 \tabularnewline
0.16 & 2.18431335417633 & 0.0203078401397878 \tabularnewline
0.17 & 2.18961435390162 & 0.0180719402823649 \tabularnewline
0.18 & 2.19427662112776 & 0.0160522403813669 \tabularnewline
0.19 & 2.19839420863079 & 0.0145316664982057 \tabularnewline
0.2 & 2.20211224755465 & 0.0137100281568632 \tabularnewline
0.21 & 2.20560420987164 & 0.013680389587208 \tabularnewline
0.22 & 2.20905115596837 & 0.0144416597426388 \tabularnewline
0.23 & 2.21262620706369 & 0.0159257201464233 \tabularnewline
0.24 & 2.21648442122164 & 0.0180361140981554 \tabularnewline
0.25 & 2.22075692535956 & 0.0206530828484299 \tabularnewline
0.26 & 2.22554812473156 & 0.0236595460917694 \tabularnewline
0.27 & 2.2309353554854 & 0.0269372744150067 \tabularnewline
0.28 & 2.236970828941 & 0.0303822128300497 \tabularnewline
0.29 & 2.24368578684818 & 0.0339138509852135 \tabularnewline
0.3 & 2.25109641456664 & 0.0374987224462644 \tabularnewline
0.31 & 2.25921045487864 & 0.0411211237789793 \tabularnewline
0.32 & 2.26803294728083 & 0.0448074051189848 \tabularnewline
0.33 & 2.27756937421347 & 0.0485879939473314 \tabularnewline
0.34 & 2.28782487961863 & 0.0524694933095633 \tabularnewline
0.35 & 2.29879910222318 & 0.0564080910180824 \tabularnewline
0.36 & 2.31047732414344 & 0.0602995194546486 \tabularnewline
0.37 & 2.32281975080986 & 0.0639631022617261 \tabularnewline
0.38 & 2.33575147665794 & 0.0671583562724385 \tabularnewline
0.39 & 2.34915581524543 & 0.0696275004168818 \tabularnewline
0.4 & 2.36287311927649 & 0.0711295225527782 \tabularnewline
0.41 & 2.37670611762337 & 0.0714664049936176 \tabularnewline
0.42 & 2.39043143841692 & 0.0705342032423512 \tabularnewline
0.43 & 2.40381571888665 & 0.0683212465413098 \tabularnewline
0.44 & 2.41663383132275 & 0.0649248039630299 \tabularnewline
0.45 & 2.42868646072862 & 0.0605276142697063 \tabularnewline
0.46 & 2.43981456803357 & 0.0553805183124695 \tabularnewline
0.47 & 2.44990902711946 & 0.0497741214307032 \tabularnewline
0.48 & 2.4589147051719 & 0.0439940953732708 \tabularnewline
0.49 & 2.46682921712407 & 0.0383151423152023 \tabularnewline
0.5 & 2.4736973292084 & 0.0329622369572588 \tabularnewline
0.51 & 2.47960240748108 & 0.028117936342978 \tabularnewline
0.52 & 2.48465639622065 & 0.0239045743503419 \tabularnewline
0.53 & 2.48898963672041 & 0.0204039896112258 \tabularnewline
0.54 & 2.49274150710214 & 0.0176455273538476 \tabularnewline
0.55 & 2.49605248679223 & 0.0156288027870665 \tabularnewline
0.56 & 2.4990579053987 & 0.0143201655446502 \tabularnewline
0.57 & 2.50188336504675 & 0.0136628034534419 \tabularnewline
0.58 & 2.50464163330436 & 0.0135736977912632 \tabularnewline
0.59 & 2.50743067874482 & 0.0139560110559434 \tabularnewline
0.6 & 2.51033245305402 & 0.0147116543353922 \tabularnewline
0.61 & 2.51341201641079 & 0.0157376221976214 \tabularnewline
0.62 & 2.51671667255194 & 0.016946522579354 \tabularnewline
0.63 & 2.52027493883616 & 0.0182386714883018 \tabularnewline
0.64 & 2.52409541279565 & 0.0195107000962541 \tabularnewline
0.65 & 2.52816586043234 & 0.0206599819493384 \tabularnewline
0.66 & 2.53245306052702 & 0.0215850631372355 \tabularnewline
0.67 & 2.53690400499777 & 0.0221857087024828 \tabularnewline
0.68 & 2.54144892253499 & 0.0223887797201417 \tabularnewline
0.69 & 2.54600627312204 & 0.0221516614394511 \tabularnewline
0.7 & 2.55048944275958 & 0.0214700054666454 \tabularnewline
0.71 & 2.55481448978343 & 0.0203785634541489 \tabularnewline
0.72 & 2.55890809279714 & 0.0189506836772096 \tabularnewline
0.73 & 2.56271489890625 & 0.0172907864325914 \tabularnewline
0.74 & 2.56620374220712 & 0.0155240147743046 \tabularnewline
0.75 & 2.56937257051976 & 0.0137823453160519 \tabularnewline
0.76 & 2.57225220153337 & 0.0122134105357482 \tabularnewline
0.77 & 2.57490905365769 & 0.0109673917777638 \tabularnewline
0.78 & 2.57744665479558 & 0.0102121027698623 \tabularnewline
0.79 & 2.58000502955872 & 0.010121870394744 \tabularnewline
0.8 & 2.5827561624406 & 0.0108334947726114 \tabularnewline
0.81 & 2.58589299514154 & 0.0123989836312174 \tabularnewline
0.82 & 2.58960943291351 & 0.0147409263931357 \tabularnewline
0.83 & 2.59407032611261 & 0.0176485861549621 \tabularnewline
0.84 & 2.59937384604165 & 0.0207699502020314 \tabularnewline
0.85 & 2.60551372033712 & 0.0236302200420214 \tabularnewline
0.86 & 2.61235361866561 & 0.0256996830890074 \tabularnewline
0.87 & 2.61962740748939 & 0.026506655101371 \tabularnewline
0.88 & 2.62697387647375 & 0.0257792836181354 \tabularnewline
0.89 & 2.63400237305004 & 0.023562663030974 \tabularnewline
0.9 & 2.64037106276481 & 0.020219195626879 \tabularnewline
0.91 & 2.64585131857292 & 0.0163317689754499 \tabularnewline
0.92 & 2.65035850984745 & 0.0124989913118453 \tabularnewline
0.93 & 2.65395053512779 & 0.00916531230922741 \tabularnewline
0.94 & 2.65681468075762 & 0.00657262979118623 \tabularnewline
0.95 & 2.65925413707917 & 0.00491372185203341 \tabularnewline
0.96 & 2.6616360298089 & 0.00445146969937514 \tabularnewline
0.97 & 2.66422107985701 & 0.00487497961468751 \tabularnewline
0.98 & 2.66688453151982 & 0.00472783732368719 \tabularnewline
0.99 & 2.66901494414973 & 0.0027171314890808 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206934&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]1.94614550858319[/C][C]0.0156220913836083[/C][/ROW]
[ROW][C]0.02[/C][C]1.96024288044793[/C][C]0.0339513646261904[/C][/ROW]
[ROW][C]0.03[/C][C]1.98262142316592[/C][C]0.0546200667197356[/C][/ROW]
[ROW][C]0.04[/C][C]2.0111971765648[/C][C]0.0670660513674605[/C][/ROW]
[ROW][C]0.05[/C][C]2.04186910157247[/C][C]0.0679508701371156[/C][/ROW]
[ROW][C]0.06[/C][C]2.07049848011034[/C][C]0.0601755537122574[/C][/ROW]
[ROW][C]0.07[/C][C]2.09455163365727[/C][C]0.048873687714684[/C][/ROW]
[ROW][C]0.08[/C][C]2.11343620708724[/C][C]0.0383529233585547[/C][/ROW]
[ROW][C]0.09[/C][C]2.1279056193285[/C][C]0.0309569667836017[/C][/ROW]
[ROW][C]0.1[/C][C]2.13924123068528[/C][C]0.0270805507548046[/C][/ROW]
[ROW][C]0.11[/C][C]2.14864640834795[/C][C]0.0257073649799257[/C][/ROW]
[ROW][C]0.12[/C][C]2.15695984972021[/C][C]0.0253823859657924[/C][/ROW]
[ROW][C]0.13[/C][C]2.16461889328799[/C][C]0.0250069318133761[/C][/ROW]
[ROW][C]0.14[/C][C]2.17175809559848[/C][C]0.0240432892926076[/C][/ROW]
[ROW][C]0.15[/C][C]2.17834762335862[/C][C]0.0224111269416128[/C][/ROW]
[ROW][C]0.16[/C][C]2.18431335417633[/C][C]0.0203078401397878[/C][/ROW]
[ROW][C]0.17[/C][C]2.18961435390162[/C][C]0.0180719402823649[/C][/ROW]
[ROW][C]0.18[/C][C]2.19427662112776[/C][C]0.0160522403813669[/C][/ROW]
[ROW][C]0.19[/C][C]2.19839420863079[/C][C]0.0145316664982057[/C][/ROW]
[ROW][C]0.2[/C][C]2.20211224755465[/C][C]0.0137100281568632[/C][/ROW]
[ROW][C]0.21[/C][C]2.20560420987164[/C][C]0.013680389587208[/C][/ROW]
[ROW][C]0.22[/C][C]2.20905115596837[/C][C]0.0144416597426388[/C][/ROW]
[ROW][C]0.23[/C][C]2.21262620706369[/C][C]0.0159257201464233[/C][/ROW]
[ROW][C]0.24[/C][C]2.21648442122164[/C][C]0.0180361140981554[/C][/ROW]
[ROW][C]0.25[/C][C]2.22075692535956[/C][C]0.0206530828484299[/C][/ROW]
[ROW][C]0.26[/C][C]2.22554812473156[/C][C]0.0236595460917694[/C][/ROW]
[ROW][C]0.27[/C][C]2.2309353554854[/C][C]0.0269372744150067[/C][/ROW]
[ROW][C]0.28[/C][C]2.236970828941[/C][C]0.0303822128300497[/C][/ROW]
[ROW][C]0.29[/C][C]2.24368578684818[/C][C]0.0339138509852135[/C][/ROW]
[ROW][C]0.3[/C][C]2.25109641456664[/C][C]0.0374987224462644[/C][/ROW]
[ROW][C]0.31[/C][C]2.25921045487864[/C][C]0.0411211237789793[/C][/ROW]
[ROW][C]0.32[/C][C]2.26803294728083[/C][C]0.0448074051189848[/C][/ROW]
[ROW][C]0.33[/C][C]2.27756937421347[/C][C]0.0485879939473314[/C][/ROW]
[ROW][C]0.34[/C][C]2.28782487961863[/C][C]0.0524694933095633[/C][/ROW]
[ROW][C]0.35[/C][C]2.29879910222318[/C][C]0.0564080910180824[/C][/ROW]
[ROW][C]0.36[/C][C]2.31047732414344[/C][C]0.0602995194546486[/C][/ROW]
[ROW][C]0.37[/C][C]2.32281975080986[/C][C]0.0639631022617261[/C][/ROW]
[ROW][C]0.38[/C][C]2.33575147665794[/C][C]0.0671583562724385[/C][/ROW]
[ROW][C]0.39[/C][C]2.34915581524543[/C][C]0.0696275004168818[/C][/ROW]
[ROW][C]0.4[/C][C]2.36287311927649[/C][C]0.0711295225527782[/C][/ROW]
[ROW][C]0.41[/C][C]2.37670611762337[/C][C]0.0714664049936176[/C][/ROW]
[ROW][C]0.42[/C][C]2.39043143841692[/C][C]0.0705342032423512[/C][/ROW]
[ROW][C]0.43[/C][C]2.40381571888665[/C][C]0.0683212465413098[/C][/ROW]
[ROW][C]0.44[/C][C]2.41663383132275[/C][C]0.0649248039630299[/C][/ROW]
[ROW][C]0.45[/C][C]2.42868646072862[/C][C]0.0605276142697063[/C][/ROW]
[ROW][C]0.46[/C][C]2.43981456803357[/C][C]0.0553805183124695[/C][/ROW]
[ROW][C]0.47[/C][C]2.44990902711946[/C][C]0.0497741214307032[/C][/ROW]
[ROW][C]0.48[/C][C]2.4589147051719[/C][C]0.0439940953732708[/C][/ROW]
[ROW][C]0.49[/C][C]2.46682921712407[/C][C]0.0383151423152023[/C][/ROW]
[ROW][C]0.5[/C][C]2.4736973292084[/C][C]0.0329622369572588[/C][/ROW]
[ROW][C]0.51[/C][C]2.47960240748108[/C][C]0.028117936342978[/C][/ROW]
[ROW][C]0.52[/C][C]2.48465639622065[/C][C]0.0239045743503419[/C][/ROW]
[ROW][C]0.53[/C][C]2.48898963672041[/C][C]0.0204039896112258[/C][/ROW]
[ROW][C]0.54[/C][C]2.49274150710214[/C][C]0.0176455273538476[/C][/ROW]
[ROW][C]0.55[/C][C]2.49605248679223[/C][C]0.0156288027870665[/C][/ROW]
[ROW][C]0.56[/C][C]2.4990579053987[/C][C]0.0143201655446502[/C][/ROW]
[ROW][C]0.57[/C][C]2.50188336504675[/C][C]0.0136628034534419[/C][/ROW]
[ROW][C]0.58[/C][C]2.50464163330436[/C][C]0.0135736977912632[/C][/ROW]
[ROW][C]0.59[/C][C]2.50743067874482[/C][C]0.0139560110559434[/C][/ROW]
[ROW][C]0.6[/C][C]2.51033245305402[/C][C]0.0147116543353922[/C][/ROW]
[ROW][C]0.61[/C][C]2.51341201641079[/C][C]0.0157376221976214[/C][/ROW]
[ROW][C]0.62[/C][C]2.51671667255194[/C][C]0.016946522579354[/C][/ROW]
[ROW][C]0.63[/C][C]2.52027493883616[/C][C]0.0182386714883018[/C][/ROW]
[ROW][C]0.64[/C][C]2.52409541279565[/C][C]0.0195107000962541[/C][/ROW]
[ROW][C]0.65[/C][C]2.52816586043234[/C][C]0.0206599819493384[/C][/ROW]
[ROW][C]0.66[/C][C]2.53245306052702[/C][C]0.0215850631372355[/C][/ROW]
[ROW][C]0.67[/C][C]2.53690400499777[/C][C]0.0221857087024828[/C][/ROW]
[ROW][C]0.68[/C][C]2.54144892253499[/C][C]0.0223887797201417[/C][/ROW]
[ROW][C]0.69[/C][C]2.54600627312204[/C][C]0.0221516614394511[/C][/ROW]
[ROW][C]0.7[/C][C]2.55048944275958[/C][C]0.0214700054666454[/C][/ROW]
[ROW][C]0.71[/C][C]2.55481448978343[/C][C]0.0203785634541489[/C][/ROW]
[ROW][C]0.72[/C][C]2.55890809279714[/C][C]0.0189506836772096[/C][/ROW]
[ROW][C]0.73[/C][C]2.56271489890625[/C][C]0.0172907864325914[/C][/ROW]
[ROW][C]0.74[/C][C]2.56620374220712[/C][C]0.0155240147743046[/C][/ROW]
[ROW][C]0.75[/C][C]2.56937257051976[/C][C]0.0137823453160519[/C][/ROW]
[ROW][C]0.76[/C][C]2.57225220153337[/C][C]0.0122134105357482[/C][/ROW]
[ROW][C]0.77[/C][C]2.57490905365769[/C][C]0.0109673917777638[/C][/ROW]
[ROW][C]0.78[/C][C]2.57744665479558[/C][C]0.0102121027698623[/C][/ROW]
[ROW][C]0.79[/C][C]2.58000502955872[/C][C]0.010121870394744[/C][/ROW]
[ROW][C]0.8[/C][C]2.5827561624406[/C][C]0.0108334947726114[/C][/ROW]
[ROW][C]0.81[/C][C]2.58589299514154[/C][C]0.0123989836312174[/C][/ROW]
[ROW][C]0.82[/C][C]2.58960943291351[/C][C]0.0147409263931357[/C][/ROW]
[ROW][C]0.83[/C][C]2.59407032611261[/C][C]0.0176485861549621[/C][/ROW]
[ROW][C]0.84[/C][C]2.59937384604165[/C][C]0.0207699502020314[/C][/ROW]
[ROW][C]0.85[/C][C]2.60551372033712[/C][C]0.0236302200420214[/C][/ROW]
[ROW][C]0.86[/C][C]2.61235361866561[/C][C]0.0256996830890074[/C][/ROW]
[ROW][C]0.87[/C][C]2.61962740748939[/C][C]0.026506655101371[/C][/ROW]
[ROW][C]0.88[/C][C]2.62697387647375[/C][C]0.0257792836181354[/C][/ROW]
[ROW][C]0.89[/C][C]2.63400237305004[/C][C]0.023562663030974[/C][/ROW]
[ROW][C]0.9[/C][C]2.64037106276481[/C][C]0.020219195626879[/C][/ROW]
[ROW][C]0.91[/C][C]2.64585131857292[/C][C]0.0163317689754499[/C][/ROW]
[ROW][C]0.92[/C][C]2.65035850984745[/C][C]0.0124989913118453[/C][/ROW]
[ROW][C]0.93[/C][C]2.65395053512779[/C][C]0.00916531230922741[/C][/ROW]
[ROW][C]0.94[/C][C]2.65681468075762[/C][C]0.00657262979118623[/C][/ROW]
[ROW][C]0.95[/C][C]2.65925413707917[/C][C]0.00491372185203341[/C][/ROW]
[ROW][C]0.96[/C][C]2.6616360298089[/C][C]0.00445146969937514[/C][/ROW]
[ROW][C]0.97[/C][C]2.66422107985701[/C][C]0.00487497961468751[/C][/ROW]
[ROW][C]0.98[/C][C]2.66688453151982[/C][C]0.00472783732368719[/C][/ROW]
[ROW][C]0.99[/C][C]2.66901494414973[/C][C]0.0027171314890808[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206934&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206934&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.946145508583190.0156220913836083
0.021.960242880447930.0339513646261904
0.031.982621423165920.0546200667197356
0.042.01119717656480.0670660513674605
0.052.041869101572470.0679508701371156
0.062.070498480110340.0601755537122574
0.072.094551633657270.048873687714684
0.082.113436207087240.0383529233585547
0.092.12790561932850.0309569667836017
0.12.139241230685280.0270805507548046
0.112.148646408347950.0257073649799257
0.122.156959849720210.0253823859657924
0.132.164618893287990.0250069318133761
0.142.171758095598480.0240432892926076
0.152.178347623358620.0224111269416128
0.162.184313354176330.0203078401397878
0.172.189614353901620.0180719402823649
0.182.194276621127760.0160522403813669
0.192.198394208630790.0145316664982057
0.22.202112247554650.0137100281568632
0.212.205604209871640.013680389587208
0.222.209051155968370.0144416597426388
0.232.212626207063690.0159257201464233
0.242.216484421221640.0180361140981554
0.252.220756925359560.0206530828484299
0.262.225548124731560.0236595460917694
0.272.23093535548540.0269372744150067
0.282.2369708289410.0303822128300497
0.292.243685786848180.0339138509852135
0.32.251096414566640.0374987224462644
0.312.259210454878640.0411211237789793
0.322.268032947280830.0448074051189848
0.332.277569374213470.0485879939473314
0.342.287824879618630.0524694933095633
0.352.298799102223180.0564080910180824
0.362.310477324143440.0602995194546486
0.372.322819750809860.0639631022617261
0.382.335751476657940.0671583562724385
0.392.349155815245430.0696275004168818
0.42.362873119276490.0711295225527782
0.412.376706117623370.0714664049936176
0.422.390431438416920.0705342032423512
0.432.403815718886650.0683212465413098
0.442.416633831322750.0649248039630299
0.452.428686460728620.0605276142697063
0.462.439814568033570.0553805183124695
0.472.449909027119460.0497741214307032
0.482.45891470517190.0439940953732708
0.492.466829217124070.0383151423152023
0.52.47369732920840.0329622369572588
0.512.479602407481080.028117936342978
0.522.484656396220650.0239045743503419
0.532.488989636720410.0204039896112258
0.542.492741507102140.0176455273538476
0.552.496052486792230.0156288027870665
0.562.49905790539870.0143201655446502
0.572.501883365046750.0136628034534419
0.582.504641633304360.0135736977912632
0.592.507430678744820.0139560110559434
0.62.510332453054020.0147116543353922
0.612.513412016410790.0157376221976214
0.622.516716672551940.016946522579354
0.632.520274938836160.0182386714883018
0.642.524095412795650.0195107000962541
0.652.528165860432340.0206599819493384
0.662.532453060527020.0215850631372355
0.672.536904004997770.0221857087024828
0.682.541448922534990.0223887797201417
0.692.546006273122040.0221516614394511
0.72.550489442759580.0214700054666454
0.712.554814489783430.0203785634541489
0.722.558908092797140.0189506836772096
0.732.562714898906250.0172907864325914
0.742.566203742207120.0155240147743046
0.752.569372570519760.0137823453160519
0.762.572252201533370.0122134105357482
0.772.574909053657690.0109673917777638
0.782.577446654795580.0102121027698623
0.792.580005029558720.010121870394744
0.82.58275616244060.0108334947726114
0.812.585892995141540.0123989836312174
0.822.589609432913510.0147409263931357
0.832.594070326112610.0176485861549621
0.842.599373846041650.0207699502020314
0.852.605513720337120.0236302200420214
0.862.612353618665610.0256996830890074
0.872.619627407489390.026506655101371
0.882.626973876473750.0257792836181354
0.892.634002373050040.023562663030974
0.92.640371062764810.020219195626879
0.912.645851318572920.0163317689754499
0.922.650358509847450.0124989913118453
0.932.653950535127790.00916531230922741
0.942.656814680757620.00657262979118623
0.952.659254137079170.00491372185203341
0.962.66163602980890.00445146969937514
0.972.664221079857010.00487497961468751
0.982.666884531519820.00472783732368719
0.992.669014944149730.0027171314890808



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')