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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 20 Oct 2008 08:16:17 -0600
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/Oct/20/t12245124949euqnvrx9wjzpr2.htm/, Retrieved Sun, 19 May 2024 16:08:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17349, Retrieved Sun, 19 May 2024 16:08:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact146

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [Werkloosheid oude...] [2008-10-13 15:46:01] [7d3039e6253bb5fb3b26df1537d500b4]
- RMPD    [Harrell-Davis Quantiles] [Harell-Davis reeks 4] [2008-10-20 14:16:17] [35348cd8592af0baf5f138bd59921307] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7.0
6.9
6.7
6.6
6.5
6.4
6.5
6.5
6.6
6.7
6.8
7.2
7.6
7.6
7.3
6.4
6.1
6.3
7.1
7.5
7.4
7.1
6.8
6.9
7.2
7.4
7.3
6.9
6.9
6.8
7.1
7.2
7.1
7.0
6.9
7.0
7.4
7.5
7.5
7.4
7.3
7.0
6.7
6.5
6.5
6.5
6.6
6.8
6.9
6.9
6.8
6.8
6.5
6.1
6.0
5.9
5.8
5.9
5.9
6.2

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17349&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17349&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17349&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.015.820615906160440.0807646472213032
0.025.849427108822830.0603089933967319
0.035.878543998502250.0500041781971249
0.045.905638651436380.056234501311248
0.055.932298861128260.0729796482448704
0.065.960857862746840.0923598204273501
0.075.992648408439150.110159923602678
0.086.027775855237820.124770022625876
0.096.065572992167650.136065791830047
0.16.10509360630090.144457478716424
0.116.145402174212790.150202544594882
0.126.185668018742650.153214602276083
0.136.225156659771850.153196897935874
0.146.26320163775440.149937827253666
0.156.299199584736770.143498699510323
0.166.332634658031710.134284764773591
0.176.363118289122810.122992515899614
0.186.390425838835030.110505278619319
0.196.41451687183460.0977704435377369
0.26.435533792987870.0856915985789486
0.216.453780297070330.0750758298876228
0.226.469684931345360.0665856605622383
0.236.483756322754730.0607098490167963
0.246.496536240608780.0576768236164324
0.256.508555548372930.0574079777553962
0.266.520296780671130.0595128404317604
0.276.532165775833730.063389365009738
0.286.544473549792910.0683908366112606
0.296.557428441526530.0739149645376458
0.36.571137559402450.0794360882122513
0.316.58561580470580.0845296135817427
0.326.600800319866050.0888704398108709
0.336.61656812515830.092228877668189
0.346.632754919856210.0944609097803788
0.356.649173427435230.0955125285472338
0.366.665630132791830.0954099944599558
0.376.681939681532070.094231616505333
0.386.697936520731850.0921270642408789
0.396.713483546973860.0892664673985917
0.46.728477629555830.0858662578412265
0.416.742851959660930.0821507260234278
0.426.756575302522430.078336499425775
0.436.76964843303830.0746290644213165
0.446.782098306012930.0711776399810678
0.456.793970797257240.0680957288188374
0.466.805323071026980.0654192213696142
0.476.816216701606960.0631337999667445
0.486.826712548456190.0611836891933216
0.496.836868050204870.0595068544749329
0.56.846737114369480.0580410935261804
0.516.856372235675630.0567677123454127
0.526.865827998567930.0557187217929683
0.536.875164822538620.054953859947366
0.546.884451766486510.0545869517359096
0.556.893767434102970.0547221541544633
0.566.903198464747730.0554424405232606
0.576.912835649698260.0567662561959124
0.586.922768253088250.0586599805604115
0.596.933077519266560.0610315479864685
0.66.943830530378670.0637227197339851
0.616.955075512230430.06657602223708
0.626.966839403431810.0694266881365487
0.636.979128077589120.0721370791813739
0.646.991929137397460.0745994203415988
0.657.005216775372950.0767522221130147
0.667.018957887598230.0785796080825577
0.677.033118470534130.0801020186560303
0.687.047669331882350.0813713372197776
0.697.062590287102780.0824631750810138
0.77.077872262537120.0834619371023557
0.717.093517045658060.0844395268185793
0.727.109534767929330.085442561402937
0.737.12593952460140.0864917462668778
0.747.142743773679850.0875510833613878
0.757.159952267093460.0885632841190967
0.767.177556233668150.0894275305483338
0.777.19552839007580.0900377020403845
0.787.213819197646770.0902759953888908
0.797.232354745301920.0900217229440346
0.87.251036833780230.0891767721988002
0.817.269746250394060.087651719374395
0.827.288350616831470.0853890275532546
0.837.306718075402690.0823787506444686
0.847.324736864861030.078692073092107
0.857.342338231474960.0745125159620401
0.867.359516679797660.0701604578375113
0.877.376339122162960.0660633286918222
0.887.392935904724570.0626527516106842
0.897.409474385218350.0601538229224691
0.97.426128792297640.058408798031046
0.917.443071068013580.0569213536633339
0.927.46050189008010.0552270662706124
0.937.478704786993610.0534334978792075
0.947.498042811595210.0524858000915445
0.957.51877092498120.0533115190269427
0.967.540595847452780.0546408855303624
0.977.562150937926390.0519247357720706
0.987.580885829255990.0401022532652449
0.997.593947912817870.0194927697936477

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 5.82061590616044 & 0.0807646472213032 \tabularnewline
0.02 & 5.84942710882283 & 0.0603089933967319 \tabularnewline
0.03 & 5.87854399850225 & 0.0500041781971249 \tabularnewline
0.04 & 5.90563865143638 & 0.056234501311248 \tabularnewline
0.05 & 5.93229886112826 & 0.0729796482448704 \tabularnewline
0.06 & 5.96085786274684 & 0.0923598204273501 \tabularnewline
0.07 & 5.99264840843915 & 0.110159923602678 \tabularnewline
0.08 & 6.02777585523782 & 0.124770022625876 \tabularnewline
0.09 & 6.06557299216765 & 0.136065791830047 \tabularnewline
0.1 & 6.1050936063009 & 0.144457478716424 \tabularnewline
0.11 & 6.14540217421279 & 0.150202544594882 \tabularnewline
0.12 & 6.18566801874265 & 0.153214602276083 \tabularnewline
0.13 & 6.22515665977185 & 0.153196897935874 \tabularnewline
0.14 & 6.2632016377544 & 0.149937827253666 \tabularnewline
0.15 & 6.29919958473677 & 0.143498699510323 \tabularnewline
0.16 & 6.33263465803171 & 0.134284764773591 \tabularnewline
0.17 & 6.36311828912281 & 0.122992515899614 \tabularnewline
0.18 & 6.39042583883503 & 0.110505278619319 \tabularnewline
0.19 & 6.4145168718346 & 0.0977704435377369 \tabularnewline
0.2 & 6.43553379298787 & 0.0856915985789486 \tabularnewline
0.21 & 6.45378029707033 & 0.0750758298876228 \tabularnewline
0.22 & 6.46968493134536 & 0.0665856605622383 \tabularnewline
0.23 & 6.48375632275473 & 0.0607098490167963 \tabularnewline
0.24 & 6.49653624060878 & 0.0576768236164324 \tabularnewline
0.25 & 6.50855554837293 & 0.0574079777553962 \tabularnewline
0.26 & 6.52029678067113 & 0.0595128404317604 \tabularnewline
0.27 & 6.53216577583373 & 0.063389365009738 \tabularnewline
0.28 & 6.54447354979291 & 0.0683908366112606 \tabularnewline
0.29 & 6.55742844152653 & 0.0739149645376458 \tabularnewline
0.3 & 6.57113755940245 & 0.0794360882122513 \tabularnewline
0.31 & 6.5856158047058 & 0.0845296135817427 \tabularnewline
0.32 & 6.60080031986605 & 0.0888704398108709 \tabularnewline
0.33 & 6.6165681251583 & 0.092228877668189 \tabularnewline
0.34 & 6.63275491985621 & 0.0944609097803788 \tabularnewline
0.35 & 6.64917342743523 & 0.0955125285472338 \tabularnewline
0.36 & 6.66563013279183 & 0.0954099944599558 \tabularnewline
0.37 & 6.68193968153207 & 0.094231616505333 \tabularnewline
0.38 & 6.69793652073185 & 0.0921270642408789 \tabularnewline
0.39 & 6.71348354697386 & 0.0892664673985917 \tabularnewline
0.4 & 6.72847762955583 & 0.0858662578412265 \tabularnewline
0.41 & 6.74285195966093 & 0.0821507260234278 \tabularnewline
0.42 & 6.75657530252243 & 0.078336499425775 \tabularnewline
0.43 & 6.7696484330383 & 0.0746290644213165 \tabularnewline
0.44 & 6.78209830601293 & 0.0711776399810678 \tabularnewline
0.45 & 6.79397079725724 & 0.0680957288188374 \tabularnewline
0.46 & 6.80532307102698 & 0.0654192213696142 \tabularnewline
0.47 & 6.81621670160696 & 0.0631337999667445 \tabularnewline
0.48 & 6.82671254845619 & 0.0611836891933216 \tabularnewline
0.49 & 6.83686805020487 & 0.0595068544749329 \tabularnewline
0.5 & 6.84673711436948 & 0.0580410935261804 \tabularnewline
0.51 & 6.85637223567563 & 0.0567677123454127 \tabularnewline
0.52 & 6.86582799856793 & 0.0557187217929683 \tabularnewline
0.53 & 6.87516482253862 & 0.054953859947366 \tabularnewline
0.54 & 6.88445176648651 & 0.0545869517359096 \tabularnewline
0.55 & 6.89376743410297 & 0.0547221541544633 \tabularnewline
0.56 & 6.90319846474773 & 0.0554424405232606 \tabularnewline
0.57 & 6.91283564969826 & 0.0567662561959124 \tabularnewline
0.58 & 6.92276825308825 & 0.0586599805604115 \tabularnewline
0.59 & 6.93307751926656 & 0.0610315479864685 \tabularnewline
0.6 & 6.94383053037867 & 0.0637227197339851 \tabularnewline
0.61 & 6.95507551223043 & 0.06657602223708 \tabularnewline
0.62 & 6.96683940343181 & 0.0694266881365487 \tabularnewline
0.63 & 6.97912807758912 & 0.0721370791813739 \tabularnewline
0.64 & 6.99192913739746 & 0.0745994203415988 \tabularnewline
0.65 & 7.00521677537295 & 0.0767522221130147 \tabularnewline
0.66 & 7.01895788759823 & 0.0785796080825577 \tabularnewline
0.67 & 7.03311847053413 & 0.0801020186560303 \tabularnewline
0.68 & 7.04766933188235 & 0.0813713372197776 \tabularnewline
0.69 & 7.06259028710278 & 0.0824631750810138 \tabularnewline
0.7 & 7.07787226253712 & 0.0834619371023557 \tabularnewline
0.71 & 7.09351704565806 & 0.0844395268185793 \tabularnewline
0.72 & 7.10953476792933 & 0.085442561402937 \tabularnewline
0.73 & 7.1259395246014 & 0.0864917462668778 \tabularnewline
0.74 & 7.14274377367985 & 0.0875510833613878 \tabularnewline
0.75 & 7.15995226709346 & 0.0885632841190967 \tabularnewline
0.76 & 7.17755623366815 & 0.0894275305483338 \tabularnewline
0.77 & 7.1955283900758 & 0.0900377020403845 \tabularnewline
0.78 & 7.21381919764677 & 0.0902759953888908 \tabularnewline
0.79 & 7.23235474530192 & 0.0900217229440346 \tabularnewline
0.8 & 7.25103683378023 & 0.0891767721988002 \tabularnewline
0.81 & 7.26974625039406 & 0.087651719374395 \tabularnewline
0.82 & 7.28835061683147 & 0.0853890275532546 \tabularnewline
0.83 & 7.30671807540269 & 0.0823787506444686 \tabularnewline
0.84 & 7.32473686486103 & 0.078692073092107 \tabularnewline
0.85 & 7.34233823147496 & 0.0745125159620401 \tabularnewline
0.86 & 7.35951667979766 & 0.0701604578375113 \tabularnewline
0.87 & 7.37633912216296 & 0.0660633286918222 \tabularnewline
0.88 & 7.39293590472457 & 0.0626527516106842 \tabularnewline
0.89 & 7.40947438521835 & 0.0601538229224691 \tabularnewline
0.9 & 7.42612879229764 & 0.058408798031046 \tabularnewline
0.91 & 7.44307106801358 & 0.0569213536633339 \tabularnewline
0.92 & 7.4605018900801 & 0.0552270662706124 \tabularnewline
0.93 & 7.47870478699361 & 0.0534334978792075 \tabularnewline
0.94 & 7.49804281159521 & 0.0524858000915445 \tabularnewline
0.95 & 7.5187709249812 & 0.0533115190269427 \tabularnewline
0.96 & 7.54059584745278 & 0.0546408855303624 \tabularnewline
0.97 & 7.56215093792639 & 0.0519247357720706 \tabularnewline
0.98 & 7.58088582925599 & 0.0401022532652449 \tabularnewline
0.99 & 7.59394791281787 & 0.0194927697936477 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17349&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]5.82061590616044[/C][C]0.0807646472213032[/C][/ROW]
[ROW][C]0.02[/C][C]5.84942710882283[/C][C]0.0603089933967319[/C][/ROW]
[ROW][C]0.03[/C][C]5.87854399850225[/C][C]0.0500041781971249[/C][/ROW]
[ROW][C]0.04[/C][C]5.90563865143638[/C][C]0.056234501311248[/C][/ROW]
[ROW][C]0.05[/C][C]5.93229886112826[/C][C]0.0729796482448704[/C][/ROW]
[ROW][C]0.06[/C][C]5.96085786274684[/C][C]0.0923598204273501[/C][/ROW]
[ROW][C]0.07[/C][C]5.99264840843915[/C][C]0.110159923602678[/C][/ROW]
[ROW][C]0.08[/C][C]6.02777585523782[/C][C]0.124770022625876[/C][/ROW]
[ROW][C]0.09[/C][C]6.06557299216765[/C][C]0.136065791830047[/C][/ROW]
[ROW][C]0.1[/C][C]6.1050936063009[/C][C]0.144457478716424[/C][/ROW]
[ROW][C]0.11[/C][C]6.14540217421279[/C][C]0.150202544594882[/C][/ROW]
[ROW][C]0.12[/C][C]6.18566801874265[/C][C]0.153214602276083[/C][/ROW]
[ROW][C]0.13[/C][C]6.22515665977185[/C][C]0.153196897935874[/C][/ROW]
[ROW][C]0.14[/C][C]6.2632016377544[/C][C]0.149937827253666[/C][/ROW]
[ROW][C]0.15[/C][C]6.29919958473677[/C][C]0.143498699510323[/C][/ROW]
[ROW][C]0.16[/C][C]6.33263465803171[/C][C]0.134284764773591[/C][/ROW]
[ROW][C]0.17[/C][C]6.36311828912281[/C][C]0.122992515899614[/C][/ROW]
[ROW][C]0.18[/C][C]6.39042583883503[/C][C]0.110505278619319[/C][/ROW]
[ROW][C]0.19[/C][C]6.4145168718346[/C][C]0.0977704435377369[/C][/ROW]
[ROW][C]0.2[/C][C]6.43553379298787[/C][C]0.0856915985789486[/C][/ROW]
[ROW][C]0.21[/C][C]6.45378029707033[/C][C]0.0750758298876228[/C][/ROW]
[ROW][C]0.22[/C][C]6.46968493134536[/C][C]0.0665856605622383[/C][/ROW]
[ROW][C]0.23[/C][C]6.48375632275473[/C][C]0.0607098490167963[/C][/ROW]
[ROW][C]0.24[/C][C]6.49653624060878[/C][C]0.0576768236164324[/C][/ROW]
[ROW][C]0.25[/C][C]6.50855554837293[/C][C]0.0574079777553962[/C][/ROW]
[ROW][C]0.26[/C][C]6.52029678067113[/C][C]0.0595128404317604[/C][/ROW]
[ROW][C]0.27[/C][C]6.53216577583373[/C][C]0.063389365009738[/C][/ROW]
[ROW][C]0.28[/C][C]6.54447354979291[/C][C]0.0683908366112606[/C][/ROW]
[ROW][C]0.29[/C][C]6.55742844152653[/C][C]0.0739149645376458[/C][/ROW]
[ROW][C]0.3[/C][C]6.57113755940245[/C][C]0.0794360882122513[/C][/ROW]
[ROW][C]0.31[/C][C]6.5856158047058[/C][C]0.0845296135817427[/C][/ROW]
[ROW][C]0.32[/C][C]6.60080031986605[/C][C]0.0888704398108709[/C][/ROW]
[ROW][C]0.33[/C][C]6.6165681251583[/C][C]0.092228877668189[/C][/ROW]
[ROW][C]0.34[/C][C]6.63275491985621[/C][C]0.0944609097803788[/C][/ROW]
[ROW][C]0.35[/C][C]6.64917342743523[/C][C]0.0955125285472338[/C][/ROW]
[ROW][C]0.36[/C][C]6.66563013279183[/C][C]0.0954099944599558[/C][/ROW]
[ROW][C]0.37[/C][C]6.68193968153207[/C][C]0.094231616505333[/C][/ROW]
[ROW][C]0.38[/C][C]6.69793652073185[/C][C]0.0921270642408789[/C][/ROW]
[ROW][C]0.39[/C][C]6.71348354697386[/C][C]0.0892664673985917[/C][/ROW]
[ROW][C]0.4[/C][C]6.72847762955583[/C][C]0.0858662578412265[/C][/ROW]
[ROW][C]0.41[/C][C]6.74285195966093[/C][C]0.0821507260234278[/C][/ROW]
[ROW][C]0.42[/C][C]6.75657530252243[/C][C]0.078336499425775[/C][/ROW]
[ROW][C]0.43[/C][C]6.7696484330383[/C][C]0.0746290644213165[/C][/ROW]
[ROW][C]0.44[/C][C]6.78209830601293[/C][C]0.0711776399810678[/C][/ROW]
[ROW][C]0.45[/C][C]6.79397079725724[/C][C]0.0680957288188374[/C][/ROW]
[ROW][C]0.46[/C][C]6.80532307102698[/C][C]0.0654192213696142[/C][/ROW]
[ROW][C]0.47[/C][C]6.81621670160696[/C][C]0.0631337999667445[/C][/ROW]
[ROW][C]0.48[/C][C]6.82671254845619[/C][C]0.0611836891933216[/C][/ROW]
[ROW][C]0.49[/C][C]6.83686805020487[/C][C]0.0595068544749329[/C][/ROW]
[ROW][C]0.5[/C][C]6.84673711436948[/C][C]0.0580410935261804[/C][/ROW]
[ROW][C]0.51[/C][C]6.85637223567563[/C][C]0.0567677123454127[/C][/ROW]
[ROW][C]0.52[/C][C]6.86582799856793[/C][C]0.0557187217929683[/C][/ROW]
[ROW][C]0.53[/C][C]6.87516482253862[/C][C]0.054953859947366[/C][/ROW]
[ROW][C]0.54[/C][C]6.88445176648651[/C][C]0.0545869517359096[/C][/ROW]
[ROW][C]0.55[/C][C]6.89376743410297[/C][C]0.0547221541544633[/C][/ROW]
[ROW][C]0.56[/C][C]6.90319846474773[/C][C]0.0554424405232606[/C][/ROW]
[ROW][C]0.57[/C][C]6.91283564969826[/C][C]0.0567662561959124[/C][/ROW]
[ROW][C]0.58[/C][C]6.92276825308825[/C][C]0.0586599805604115[/C][/ROW]
[ROW][C]0.59[/C][C]6.93307751926656[/C][C]0.0610315479864685[/C][/ROW]
[ROW][C]0.6[/C][C]6.94383053037867[/C][C]0.0637227197339851[/C][/ROW]
[ROW][C]0.61[/C][C]6.95507551223043[/C][C]0.06657602223708[/C][/ROW]
[ROW][C]0.62[/C][C]6.96683940343181[/C][C]0.0694266881365487[/C][/ROW]
[ROW][C]0.63[/C][C]6.97912807758912[/C][C]0.0721370791813739[/C][/ROW]
[ROW][C]0.64[/C][C]6.99192913739746[/C][C]0.0745994203415988[/C][/ROW]
[ROW][C]0.65[/C][C]7.00521677537295[/C][C]0.0767522221130147[/C][/ROW]
[ROW][C]0.66[/C][C]7.01895788759823[/C][C]0.0785796080825577[/C][/ROW]
[ROW][C]0.67[/C][C]7.03311847053413[/C][C]0.0801020186560303[/C][/ROW]
[ROW][C]0.68[/C][C]7.04766933188235[/C][C]0.0813713372197776[/C][/ROW]
[ROW][C]0.69[/C][C]7.06259028710278[/C][C]0.0824631750810138[/C][/ROW]
[ROW][C]0.7[/C][C]7.07787226253712[/C][C]0.0834619371023557[/C][/ROW]
[ROW][C]0.71[/C][C]7.09351704565806[/C][C]0.0844395268185793[/C][/ROW]
[ROW][C]0.72[/C][C]7.10953476792933[/C][C]0.085442561402937[/C][/ROW]
[ROW][C]0.73[/C][C]7.1259395246014[/C][C]0.0864917462668778[/C][/ROW]
[ROW][C]0.74[/C][C]7.14274377367985[/C][C]0.0875510833613878[/C][/ROW]
[ROW][C]0.75[/C][C]7.15995226709346[/C][C]0.0885632841190967[/C][/ROW]
[ROW][C]0.76[/C][C]7.17755623366815[/C][C]0.0894275305483338[/C][/ROW]
[ROW][C]0.77[/C][C]7.1955283900758[/C][C]0.0900377020403845[/C][/ROW]
[ROW][C]0.78[/C][C]7.21381919764677[/C][C]0.0902759953888908[/C][/ROW]
[ROW][C]0.79[/C][C]7.23235474530192[/C][C]0.0900217229440346[/C][/ROW]
[ROW][C]0.8[/C][C]7.25103683378023[/C][C]0.0891767721988002[/C][/ROW]
[ROW][C]0.81[/C][C]7.26974625039406[/C][C]0.087651719374395[/C][/ROW]
[ROW][C]0.82[/C][C]7.28835061683147[/C][C]0.0853890275532546[/C][/ROW]
[ROW][C]0.83[/C][C]7.30671807540269[/C][C]0.0823787506444686[/C][/ROW]
[ROW][C]0.84[/C][C]7.32473686486103[/C][C]0.078692073092107[/C][/ROW]
[ROW][C]0.85[/C][C]7.34233823147496[/C][C]0.0745125159620401[/C][/ROW]
[ROW][C]0.86[/C][C]7.35951667979766[/C][C]0.0701604578375113[/C][/ROW]
[ROW][C]0.87[/C][C]7.37633912216296[/C][C]0.0660633286918222[/C][/ROW]
[ROW][C]0.88[/C][C]7.39293590472457[/C][C]0.0626527516106842[/C][/ROW]
[ROW][C]0.89[/C][C]7.40947438521835[/C][C]0.0601538229224691[/C][/ROW]
[ROW][C]0.9[/C][C]7.42612879229764[/C][C]0.058408798031046[/C][/ROW]
[ROW][C]0.91[/C][C]7.44307106801358[/C][C]0.0569213536633339[/C][/ROW]
[ROW][C]0.92[/C][C]7.4605018900801[/C][C]0.0552270662706124[/C][/ROW]
[ROW][C]0.93[/C][C]7.47870478699361[/C][C]0.0534334978792075[/C][/ROW]
[ROW][C]0.94[/C][C]7.49804281159521[/C][C]0.0524858000915445[/C][/ROW]
[ROW][C]0.95[/C][C]7.5187709249812[/C][C]0.0533115190269427[/C][/ROW]
[ROW][C]0.96[/C][C]7.54059584745278[/C][C]0.0546408855303624[/C][/ROW]
[ROW][C]0.97[/C][C]7.56215093792639[/C][C]0.0519247357720706[/C][/ROW]
[ROW][C]0.98[/C][C]7.58088582925599[/C][C]0.0401022532652449[/C][/ROW]
[ROW][C]0.99[/C][C]7.59394791281787[/C][C]0.0194927697936477[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17349&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17349&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
0.015.820615906160440.0807646472213032
0.025.849427108822830.0603089933967319
0.035.878543998502250.0500041781971249
0.045.905638651436380.056234501311248
0.055.932298861128260.0729796482448704
0.065.960857862746840.0923598204273501
0.075.992648408439150.110159923602678
0.086.027775855237820.124770022625876
0.096.065572992167650.136065791830047
0.16.10509360630090.144457478716424
0.116.145402174212790.150202544594882
0.126.185668018742650.153214602276083
0.136.225156659771850.153196897935874
0.146.26320163775440.149937827253666
0.156.299199584736770.143498699510323
0.166.332634658031710.134284764773591
0.176.363118289122810.122992515899614
0.186.390425838835030.110505278619319
0.196.41451687183460.0977704435377369
0.26.435533792987870.0856915985789486
0.216.453780297070330.0750758298876228
0.226.469684931345360.0665856605622383
0.236.483756322754730.0607098490167963
0.246.496536240608780.0576768236164324
0.256.508555548372930.0574079777553962
0.266.520296780671130.0595128404317604
0.276.532165775833730.063389365009738
0.286.544473549792910.0683908366112606
0.296.557428441526530.0739149645376458
0.36.571137559402450.0794360882122513
0.316.58561580470580.0845296135817427
0.326.600800319866050.0888704398108709
0.336.61656812515830.092228877668189
0.346.632754919856210.0944609097803788
0.356.649173427435230.0955125285472338
0.366.665630132791830.0954099944599558
0.376.681939681532070.094231616505333
0.386.697936520731850.0921270642408789
0.396.713483546973860.0892664673985917
0.46.728477629555830.0858662578412265
0.416.742851959660930.0821507260234278
0.426.756575302522430.078336499425775
0.436.76964843303830.0746290644213165
0.446.782098306012930.0711776399810678
0.456.793970797257240.0680957288188374
0.466.805323071026980.0654192213696142
0.476.816216701606960.0631337999667445
0.486.826712548456190.0611836891933216
0.496.836868050204870.0595068544749329
0.56.846737114369480.0580410935261804
0.516.856372235675630.0567677123454127
0.526.865827998567930.0557187217929683
0.536.875164822538620.054953859947366
0.546.884451766486510.0545869517359096
0.556.893767434102970.0547221541544633
0.566.903198464747730.0554424405232606
0.576.912835649698260.0567662561959124
0.586.922768253088250.0586599805604115
0.596.933077519266560.0610315479864685
0.66.943830530378670.0637227197339851
0.616.955075512230430.06657602223708
0.626.966839403431810.0694266881365487
0.636.979128077589120.0721370791813739
0.646.991929137397460.0745994203415988
0.657.005216775372950.0767522221130147
0.667.018957887598230.0785796080825577
0.677.033118470534130.0801020186560303
0.687.047669331882350.0813713372197776
0.697.062590287102780.0824631750810138
0.77.077872262537120.0834619371023557
0.717.093517045658060.0844395268185793
0.727.109534767929330.085442561402937
0.737.12593952460140.0864917462668778
0.747.142743773679850.0875510833613878
0.757.159952267093460.0885632841190967
0.767.177556233668150.0894275305483338
0.777.19552839007580.0900377020403845
0.787.213819197646770.0902759953888908
0.797.232354745301920.0900217229440346
0.87.251036833780230.0891767721988002
0.817.269746250394060.087651719374395
0.827.288350616831470.0853890275532546
0.837.306718075402690.0823787506444686
0.847.324736864861030.078692073092107
0.857.342338231474960.0745125159620401
0.867.359516679797660.0701604578375113
0.877.376339122162960.0660633286918222
0.887.392935904724570.0626527516106842
0.897.409474385218350.0601538229224691
0.97.426128792297640.058408798031046
0.917.443071068013580.0569213536633339
0.927.46050189008010.0552270662706124
0.937.478704786993610.0534334978792075
0.947.498042811595210.0524858000915445
0.957.51877092498120.0533115190269427
0.967.540595847452780.0546408855303624
0.977.562150937926390.0519247357720706
0.987.580885829255990.0401022532652449
0.997.593947912817870.0194927697936477


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')