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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 computationFri, 14 Dec 2007 07:07:30 -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/2007/Dec/14/t1197640416m0hpk2sjai71x5t.htm/, Retrieved Thu, 02 May 2024 21:16:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3893, Retrieved Thu, 02 May 2024 21:16:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact193

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] [] [2007-12-14 14:07:30] [a1fadf46580e43815db2830b4560d35f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
103.1
103.1
103.3
103.5
103.3
103.5
103.8
103.9
103.9
104.2
104.6
104.9
105.2
105.2
105.6
105.6
106.2
106.3
106.4
106.9
107.2
107.3
107.3
107.4
107.55
107.87
108.37
108.38
107.92
108.03
108.14
108.3
108.64
108.66
109.04
109.03
109.03
109.54
109.75
109.83
109.65
109.82
109.95
110.12
110.15
110.2
109.99
110.14
110.14
110.81
110.97
110.99
109.73
109.81
110.02
110.18
110.21
110.25
110.36
110.51
110.64
110.95
111.18
111.19
111.69
111.7
111.83
111.77
111.73
112.01
111.86
112.04

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3893&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]2 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=3893&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3893&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01103.1177080607780.0522081653485423
0.02103.1589830011610.108058736615809
0.03103.2201681856650.145257370659229
0.04103.2937397074710.171766499186321
0.05103.3745935351420.200745506400742
0.06103.4613993547240.236322962742697
0.07103.5550393550580.277553832633641
0.08103.6569670442210.323664244556572
0.09103.7684559997790.374650306386427
0.1103.8904170057800.430060967166548
0.11104.0233117177860.487859345350365
0.12104.1670071513410.54466753808266
0.13104.3206576239350.596357294643266
0.14104.48273785630.6400135222864
0.15104.6512621449390.674284169733268
0.16104.8241197855960.699750470189274
0.17104.9994041773190.718696934606153
0.18105.1756274243400.733450071296598
0.19105.351771107470.745633412942201
0.2105.5271906886050.75644653433786
0.21105.7014365134990.765426457336063
0.22105.8740670330920.771504032206509
0.23106.0445145479630.773237866944054
0.24106.2120339479390.769316358941623
0.25106.3757343150300.759248916528242
0.26106.5346709638170.743000966652148
0.27106.6879648690370.721205804163838
0.28106.8349165342740.695377783876786
0.29106.9750890521870.666957854078877
0.3107.1083467118130.638278747680167
0.31107.2348476827210.61056379617982
0.32107.3549994200380.585032649620328
0.33107.4693917392640.562760125527758
0.34107.5787242665380.543967122159387
0.35107.6837425057390.528511978735975
0.36107.7851913370840.516284825146359
0.37107.8837881937860.507104231283811
0.38107.9802123133170.500864035694554
0.39108.0751027220520.497467192268627
0.4108.1690566003270.496935756819419
0.41108.2626211847780.499049469878626
0.42108.3562755835860.503454605272387
0.43108.4504027298720.509668798836845
0.44108.5452551728790.516894117593398
0.45108.6409207970900.524069607623002
0.46108.7372955314290.530013308242365
0.47108.8340696569990.533437356068053
0.48108.9307326545180.533148855089217
0.49109.0265989797600.528158278980246
0.5109.1208540976620.51807358655158
0.51109.2126169586800.502359827282244
0.52109.3010123131050.481392188138504
0.53109.3852442921920.455843329550522
0.54109.4646619541440.426683285956876
0.55109.5388082671480.395168477243459
0.56109.6074462998590.362812676672782
0.57109.6705599158870.330826851877282
0.58109.7283304257030.300515674759675
0.59109.7810946447920.272652561542978
0.6109.8292928307490.247731928278757
0.61109.8734163944520.226006603645825
0.62109.9139648094620.207050728466990
0.63109.9514188939890.190878914494745
0.64109.9862340925320.176771251770845
0.65110.0188532566240.164826940606879
0.66110.0497344911420.155009462349268
0.67110.0793865607670.147554354730984
0.68110.1084025900790.143061449072748
0.69110.1374825448150.142260064003692
0.7110.1674362541060.145850442693394
0.71110.1991614011920.154391995055566
0.72110.2335947849730.167701100394167
0.73110.2716399815320.185451745948581
0.74110.3140799142920.206348219652139
0.75110.3614881006820.229185443868156
0.76110.4141564193390.252082589166416
0.77110.4720586777220.273146539578393
0.78110.5348664104160.291037435793483
0.79110.6020248594560.304477850614894
0.8110.6728827002690.313324243923361
0.81110.7468504692480.318047816580103
0.82110.8235442048160.32007285207116
0.83110.9028596374410.321406437750372
0.84110.9849268498390.323742736509732
0.85111.0699223684800.327603643518159
0.86111.1577652053970.331882557623273
0.87111.2477841202520.333581584795712
0.88111.3384913791350.328695580579675
0.89111.4276034026520.313631523821104
0.9111.5123899658830.286943217571814
0.91111.5903177221680.250102096238003
0.92111.6598217556000.207693387668049
0.93111.7209452601490.166398180970357
0.94111.7755581765820.133122960667103
0.95111.8268814177640.112985933756669
0.96111.8781137672350.105763825237943
0.97111.9302489094950.102282903285710
0.98111.9799308674350.0879886604965473
0.99112.0192809306120.0569933697669512

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 103.117708060778 & 0.0522081653485423 \tabularnewline
0.02 & 103.158983001161 & 0.108058736615809 \tabularnewline
0.03 & 103.220168185665 & 0.145257370659229 \tabularnewline
0.04 & 103.293739707471 & 0.171766499186321 \tabularnewline
0.05 & 103.374593535142 & 0.200745506400742 \tabularnewline
0.06 & 103.461399354724 & 0.236322962742697 \tabularnewline
0.07 & 103.555039355058 & 0.277553832633641 \tabularnewline
0.08 & 103.656967044221 & 0.323664244556572 \tabularnewline
0.09 & 103.768455999779 & 0.374650306386427 \tabularnewline
0.1 & 103.890417005780 & 0.430060967166548 \tabularnewline
0.11 & 104.023311717786 & 0.487859345350365 \tabularnewline
0.12 & 104.167007151341 & 0.54466753808266 \tabularnewline
0.13 & 104.320657623935 & 0.596357294643266 \tabularnewline
0.14 & 104.4827378563 & 0.6400135222864 \tabularnewline
0.15 & 104.651262144939 & 0.674284169733268 \tabularnewline
0.16 & 104.824119785596 & 0.699750470189274 \tabularnewline
0.17 & 104.999404177319 & 0.718696934606153 \tabularnewline
0.18 & 105.175627424340 & 0.733450071296598 \tabularnewline
0.19 & 105.35177110747 & 0.745633412942201 \tabularnewline
0.2 & 105.527190688605 & 0.75644653433786 \tabularnewline
0.21 & 105.701436513499 & 0.765426457336063 \tabularnewline
0.22 & 105.874067033092 & 0.771504032206509 \tabularnewline
0.23 & 106.044514547963 & 0.773237866944054 \tabularnewline
0.24 & 106.212033947939 & 0.769316358941623 \tabularnewline
0.25 & 106.375734315030 & 0.759248916528242 \tabularnewline
0.26 & 106.534670963817 & 0.743000966652148 \tabularnewline
0.27 & 106.687964869037 & 0.721205804163838 \tabularnewline
0.28 & 106.834916534274 & 0.695377783876786 \tabularnewline
0.29 & 106.975089052187 & 0.666957854078877 \tabularnewline
0.3 & 107.108346711813 & 0.638278747680167 \tabularnewline
0.31 & 107.234847682721 & 0.61056379617982 \tabularnewline
0.32 & 107.354999420038 & 0.585032649620328 \tabularnewline
0.33 & 107.469391739264 & 0.562760125527758 \tabularnewline
0.34 & 107.578724266538 & 0.543967122159387 \tabularnewline
0.35 & 107.683742505739 & 0.528511978735975 \tabularnewline
0.36 & 107.785191337084 & 0.516284825146359 \tabularnewline
0.37 & 107.883788193786 & 0.507104231283811 \tabularnewline
0.38 & 107.980212313317 & 0.500864035694554 \tabularnewline
0.39 & 108.075102722052 & 0.497467192268627 \tabularnewline
0.4 & 108.169056600327 & 0.496935756819419 \tabularnewline
0.41 & 108.262621184778 & 0.499049469878626 \tabularnewline
0.42 & 108.356275583586 & 0.503454605272387 \tabularnewline
0.43 & 108.450402729872 & 0.509668798836845 \tabularnewline
0.44 & 108.545255172879 & 0.516894117593398 \tabularnewline
0.45 & 108.640920797090 & 0.524069607623002 \tabularnewline
0.46 & 108.737295531429 & 0.530013308242365 \tabularnewline
0.47 & 108.834069656999 & 0.533437356068053 \tabularnewline
0.48 & 108.930732654518 & 0.533148855089217 \tabularnewline
0.49 & 109.026598979760 & 0.528158278980246 \tabularnewline
0.5 & 109.120854097662 & 0.51807358655158 \tabularnewline
0.51 & 109.212616958680 & 0.502359827282244 \tabularnewline
0.52 & 109.301012313105 & 0.481392188138504 \tabularnewline
0.53 & 109.385244292192 & 0.455843329550522 \tabularnewline
0.54 & 109.464661954144 & 0.426683285956876 \tabularnewline
0.55 & 109.538808267148 & 0.395168477243459 \tabularnewline
0.56 & 109.607446299859 & 0.362812676672782 \tabularnewline
0.57 & 109.670559915887 & 0.330826851877282 \tabularnewline
0.58 & 109.728330425703 & 0.300515674759675 \tabularnewline
0.59 & 109.781094644792 & 0.272652561542978 \tabularnewline
0.6 & 109.829292830749 & 0.247731928278757 \tabularnewline
0.61 & 109.873416394452 & 0.226006603645825 \tabularnewline
0.62 & 109.913964809462 & 0.207050728466990 \tabularnewline
0.63 & 109.951418893989 & 0.190878914494745 \tabularnewline
0.64 & 109.986234092532 & 0.176771251770845 \tabularnewline
0.65 & 110.018853256624 & 0.164826940606879 \tabularnewline
0.66 & 110.049734491142 & 0.155009462349268 \tabularnewline
0.67 & 110.079386560767 & 0.147554354730984 \tabularnewline
0.68 & 110.108402590079 & 0.143061449072748 \tabularnewline
0.69 & 110.137482544815 & 0.142260064003692 \tabularnewline
0.7 & 110.167436254106 & 0.145850442693394 \tabularnewline
0.71 & 110.199161401192 & 0.154391995055566 \tabularnewline
0.72 & 110.233594784973 & 0.167701100394167 \tabularnewline
0.73 & 110.271639981532 & 0.185451745948581 \tabularnewline
0.74 & 110.314079914292 & 0.206348219652139 \tabularnewline
0.75 & 110.361488100682 & 0.229185443868156 \tabularnewline
0.76 & 110.414156419339 & 0.252082589166416 \tabularnewline
0.77 & 110.472058677722 & 0.273146539578393 \tabularnewline
0.78 & 110.534866410416 & 0.291037435793483 \tabularnewline
0.79 & 110.602024859456 & 0.304477850614894 \tabularnewline
0.8 & 110.672882700269 & 0.313324243923361 \tabularnewline
0.81 & 110.746850469248 & 0.318047816580103 \tabularnewline
0.82 & 110.823544204816 & 0.32007285207116 \tabularnewline
0.83 & 110.902859637441 & 0.321406437750372 \tabularnewline
0.84 & 110.984926849839 & 0.323742736509732 \tabularnewline
0.85 & 111.069922368480 & 0.327603643518159 \tabularnewline
0.86 & 111.157765205397 & 0.331882557623273 \tabularnewline
0.87 & 111.247784120252 & 0.333581584795712 \tabularnewline
0.88 & 111.338491379135 & 0.328695580579675 \tabularnewline
0.89 & 111.427603402652 & 0.313631523821104 \tabularnewline
0.9 & 111.512389965883 & 0.286943217571814 \tabularnewline
0.91 & 111.590317722168 & 0.250102096238003 \tabularnewline
0.92 & 111.659821755600 & 0.207693387668049 \tabularnewline
0.93 & 111.720945260149 & 0.166398180970357 \tabularnewline
0.94 & 111.775558176582 & 0.133122960667103 \tabularnewline
0.95 & 111.826881417764 & 0.112985933756669 \tabularnewline
0.96 & 111.878113767235 & 0.105763825237943 \tabularnewline
0.97 & 111.930248909495 & 0.102282903285710 \tabularnewline
0.98 & 111.979930867435 & 0.0879886604965473 \tabularnewline
0.99 & 112.019280930612 & 0.0569933697669512 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3893&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]103.117708060778[/C][C]0.0522081653485423[/C][/ROW]
[ROW][C]0.02[/C][C]103.158983001161[/C][C]0.108058736615809[/C][/ROW]
[ROW][C]0.03[/C][C]103.220168185665[/C][C]0.145257370659229[/C][/ROW]
[ROW][C]0.04[/C][C]103.293739707471[/C][C]0.171766499186321[/C][/ROW]
[ROW][C]0.05[/C][C]103.374593535142[/C][C]0.200745506400742[/C][/ROW]
[ROW][C]0.06[/C][C]103.461399354724[/C][C]0.236322962742697[/C][/ROW]
[ROW][C]0.07[/C][C]103.555039355058[/C][C]0.277553832633641[/C][/ROW]
[ROW][C]0.08[/C][C]103.656967044221[/C][C]0.323664244556572[/C][/ROW]
[ROW][C]0.09[/C][C]103.768455999779[/C][C]0.374650306386427[/C][/ROW]
[ROW][C]0.1[/C][C]103.890417005780[/C][C]0.430060967166548[/C][/ROW]
[ROW][C]0.11[/C][C]104.023311717786[/C][C]0.487859345350365[/C][/ROW]
[ROW][C]0.12[/C][C]104.167007151341[/C][C]0.54466753808266[/C][/ROW]
[ROW][C]0.13[/C][C]104.320657623935[/C][C]0.596357294643266[/C][/ROW]
[ROW][C]0.14[/C][C]104.4827378563[/C][C]0.6400135222864[/C][/ROW]
[ROW][C]0.15[/C][C]104.651262144939[/C][C]0.674284169733268[/C][/ROW]
[ROW][C]0.16[/C][C]104.824119785596[/C][C]0.699750470189274[/C][/ROW]
[ROW][C]0.17[/C][C]104.999404177319[/C][C]0.718696934606153[/C][/ROW]
[ROW][C]0.18[/C][C]105.175627424340[/C][C]0.733450071296598[/C][/ROW]
[ROW][C]0.19[/C][C]105.35177110747[/C][C]0.745633412942201[/C][/ROW]
[ROW][C]0.2[/C][C]105.527190688605[/C][C]0.75644653433786[/C][/ROW]
[ROW][C]0.21[/C][C]105.701436513499[/C][C]0.765426457336063[/C][/ROW]
[ROW][C]0.22[/C][C]105.874067033092[/C][C]0.771504032206509[/C][/ROW]
[ROW][C]0.23[/C][C]106.044514547963[/C][C]0.773237866944054[/C][/ROW]
[ROW][C]0.24[/C][C]106.212033947939[/C][C]0.769316358941623[/C][/ROW]
[ROW][C]0.25[/C][C]106.375734315030[/C][C]0.759248916528242[/C][/ROW]
[ROW][C]0.26[/C][C]106.534670963817[/C][C]0.743000966652148[/C][/ROW]
[ROW][C]0.27[/C][C]106.687964869037[/C][C]0.721205804163838[/C][/ROW]
[ROW][C]0.28[/C][C]106.834916534274[/C][C]0.695377783876786[/C][/ROW]
[ROW][C]0.29[/C][C]106.975089052187[/C][C]0.666957854078877[/C][/ROW]
[ROW][C]0.3[/C][C]107.108346711813[/C][C]0.638278747680167[/C][/ROW]
[ROW][C]0.31[/C][C]107.234847682721[/C][C]0.61056379617982[/C][/ROW]
[ROW][C]0.32[/C][C]107.354999420038[/C][C]0.585032649620328[/C][/ROW]
[ROW][C]0.33[/C][C]107.469391739264[/C][C]0.562760125527758[/C][/ROW]
[ROW][C]0.34[/C][C]107.578724266538[/C][C]0.543967122159387[/C][/ROW]
[ROW][C]0.35[/C][C]107.683742505739[/C][C]0.528511978735975[/C][/ROW]
[ROW][C]0.36[/C][C]107.785191337084[/C][C]0.516284825146359[/C][/ROW]
[ROW][C]0.37[/C][C]107.883788193786[/C][C]0.507104231283811[/C][/ROW]
[ROW][C]0.38[/C][C]107.980212313317[/C][C]0.500864035694554[/C][/ROW]
[ROW][C]0.39[/C][C]108.075102722052[/C][C]0.497467192268627[/C][/ROW]
[ROW][C]0.4[/C][C]108.169056600327[/C][C]0.496935756819419[/C][/ROW]
[ROW][C]0.41[/C][C]108.262621184778[/C][C]0.499049469878626[/C][/ROW]
[ROW][C]0.42[/C][C]108.356275583586[/C][C]0.503454605272387[/C][/ROW]
[ROW][C]0.43[/C][C]108.450402729872[/C][C]0.509668798836845[/C][/ROW]
[ROW][C]0.44[/C][C]108.545255172879[/C][C]0.516894117593398[/C][/ROW]
[ROW][C]0.45[/C][C]108.640920797090[/C][C]0.524069607623002[/C][/ROW]
[ROW][C]0.46[/C][C]108.737295531429[/C][C]0.530013308242365[/C][/ROW]
[ROW][C]0.47[/C][C]108.834069656999[/C][C]0.533437356068053[/C][/ROW]
[ROW][C]0.48[/C][C]108.930732654518[/C][C]0.533148855089217[/C][/ROW]
[ROW][C]0.49[/C][C]109.026598979760[/C][C]0.528158278980246[/C][/ROW]
[ROW][C]0.5[/C][C]109.120854097662[/C][C]0.51807358655158[/C][/ROW]
[ROW][C]0.51[/C][C]109.212616958680[/C][C]0.502359827282244[/C][/ROW]
[ROW][C]0.52[/C][C]109.301012313105[/C][C]0.481392188138504[/C][/ROW]
[ROW][C]0.53[/C][C]109.385244292192[/C][C]0.455843329550522[/C][/ROW]
[ROW][C]0.54[/C][C]109.464661954144[/C][C]0.426683285956876[/C][/ROW]
[ROW][C]0.55[/C][C]109.538808267148[/C][C]0.395168477243459[/C][/ROW]
[ROW][C]0.56[/C][C]109.607446299859[/C][C]0.362812676672782[/C][/ROW]
[ROW][C]0.57[/C][C]109.670559915887[/C][C]0.330826851877282[/C][/ROW]
[ROW][C]0.58[/C][C]109.728330425703[/C][C]0.300515674759675[/C][/ROW]
[ROW][C]0.59[/C][C]109.781094644792[/C][C]0.272652561542978[/C][/ROW]
[ROW][C]0.6[/C][C]109.829292830749[/C][C]0.247731928278757[/C][/ROW]
[ROW][C]0.61[/C][C]109.873416394452[/C][C]0.226006603645825[/C][/ROW]
[ROW][C]0.62[/C][C]109.913964809462[/C][C]0.207050728466990[/C][/ROW]
[ROW][C]0.63[/C][C]109.951418893989[/C][C]0.190878914494745[/C][/ROW]
[ROW][C]0.64[/C][C]109.986234092532[/C][C]0.176771251770845[/C][/ROW]
[ROW][C]0.65[/C][C]110.018853256624[/C][C]0.164826940606879[/C][/ROW]
[ROW][C]0.66[/C][C]110.049734491142[/C][C]0.155009462349268[/C][/ROW]
[ROW][C]0.67[/C][C]110.079386560767[/C][C]0.147554354730984[/C][/ROW]
[ROW][C]0.68[/C][C]110.108402590079[/C][C]0.143061449072748[/C][/ROW]
[ROW][C]0.69[/C][C]110.137482544815[/C][C]0.142260064003692[/C][/ROW]
[ROW][C]0.7[/C][C]110.167436254106[/C][C]0.145850442693394[/C][/ROW]
[ROW][C]0.71[/C][C]110.199161401192[/C][C]0.154391995055566[/C][/ROW]
[ROW][C]0.72[/C][C]110.233594784973[/C][C]0.167701100394167[/C][/ROW]
[ROW][C]0.73[/C][C]110.271639981532[/C][C]0.185451745948581[/C][/ROW]
[ROW][C]0.74[/C][C]110.314079914292[/C][C]0.206348219652139[/C][/ROW]
[ROW][C]0.75[/C][C]110.361488100682[/C][C]0.229185443868156[/C][/ROW]
[ROW][C]0.76[/C][C]110.414156419339[/C][C]0.252082589166416[/C][/ROW]
[ROW][C]0.77[/C][C]110.472058677722[/C][C]0.273146539578393[/C][/ROW]
[ROW][C]0.78[/C][C]110.534866410416[/C][C]0.291037435793483[/C][/ROW]
[ROW][C]0.79[/C][C]110.602024859456[/C][C]0.304477850614894[/C][/ROW]
[ROW][C]0.8[/C][C]110.672882700269[/C][C]0.313324243923361[/C][/ROW]
[ROW][C]0.81[/C][C]110.746850469248[/C][C]0.318047816580103[/C][/ROW]
[ROW][C]0.82[/C][C]110.823544204816[/C][C]0.32007285207116[/C][/ROW]
[ROW][C]0.83[/C][C]110.902859637441[/C][C]0.321406437750372[/C][/ROW]
[ROW][C]0.84[/C][C]110.984926849839[/C][C]0.323742736509732[/C][/ROW]
[ROW][C]0.85[/C][C]111.069922368480[/C][C]0.327603643518159[/C][/ROW]
[ROW][C]0.86[/C][C]111.157765205397[/C][C]0.331882557623273[/C][/ROW]
[ROW][C]0.87[/C][C]111.247784120252[/C][C]0.333581584795712[/C][/ROW]
[ROW][C]0.88[/C][C]111.338491379135[/C][C]0.328695580579675[/C][/ROW]
[ROW][C]0.89[/C][C]111.427603402652[/C][C]0.313631523821104[/C][/ROW]
[ROW][C]0.9[/C][C]111.512389965883[/C][C]0.286943217571814[/C][/ROW]
[ROW][C]0.91[/C][C]111.590317722168[/C][C]0.250102096238003[/C][/ROW]
[ROW][C]0.92[/C][C]111.659821755600[/C][C]0.207693387668049[/C][/ROW]
[ROW][C]0.93[/C][C]111.720945260149[/C][C]0.166398180970357[/C][/ROW]
[ROW][C]0.94[/C][C]111.775558176582[/C][C]0.133122960667103[/C][/ROW]
[ROW][C]0.95[/C][C]111.826881417764[/C][C]0.112985933756669[/C][/ROW]
[ROW][C]0.96[/C][C]111.878113767235[/C][C]0.105763825237943[/C][/ROW]
[ROW][C]0.97[/C][C]111.930248909495[/C][C]0.102282903285710[/C][/ROW]
[ROW][C]0.98[/C][C]111.979930867435[/C][C]0.0879886604965473[/C][/ROW]
[ROW][C]0.99[/C][C]112.019280930612[/C][C]0.0569933697669512[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3893&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3893&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
0.01103.1177080607780.0522081653485423
0.02103.1589830011610.108058736615809
0.03103.2201681856650.145257370659229
0.04103.2937397074710.171766499186321
0.05103.3745935351420.200745506400742
0.06103.4613993547240.236322962742697
0.07103.5550393550580.277553832633641
0.08103.6569670442210.323664244556572
0.09103.7684559997790.374650306386427
0.1103.8904170057800.430060967166548
0.11104.0233117177860.487859345350365
0.12104.1670071513410.54466753808266
0.13104.3206576239350.596357294643266
0.14104.48273785630.6400135222864
0.15104.6512621449390.674284169733268
0.16104.8241197855960.699750470189274
0.17104.9994041773190.718696934606153
0.18105.1756274243400.733450071296598
0.19105.351771107470.745633412942201
0.2105.5271906886050.75644653433786
0.21105.7014365134990.765426457336063
0.22105.8740670330920.771504032206509
0.23106.0445145479630.773237866944054
0.24106.2120339479390.769316358941623
0.25106.3757343150300.759248916528242
0.26106.5346709638170.743000966652148
0.27106.6879648690370.721205804163838
0.28106.8349165342740.695377783876786
0.29106.9750890521870.666957854078877
0.3107.1083467118130.638278747680167
0.31107.2348476827210.61056379617982
0.32107.3549994200380.585032649620328
0.33107.4693917392640.562760125527758
0.34107.5787242665380.543967122159387
0.35107.6837425057390.528511978735975
0.36107.7851913370840.516284825146359
0.37107.8837881937860.507104231283811
0.38107.9802123133170.500864035694554
0.39108.0751027220520.497467192268627
0.4108.1690566003270.496935756819419
0.41108.2626211847780.499049469878626
0.42108.3562755835860.503454605272387
0.43108.4504027298720.509668798836845
0.44108.5452551728790.516894117593398
0.45108.6409207970900.524069607623002
0.46108.7372955314290.530013308242365
0.47108.8340696569990.533437356068053
0.48108.9307326545180.533148855089217
0.49109.0265989797600.528158278980246
0.5109.1208540976620.51807358655158
0.51109.2126169586800.502359827282244
0.52109.3010123131050.481392188138504
0.53109.3852442921920.455843329550522
0.54109.4646619541440.426683285956876
0.55109.5388082671480.395168477243459
0.56109.6074462998590.362812676672782
0.57109.6705599158870.330826851877282
0.58109.7283304257030.300515674759675
0.59109.7810946447920.272652561542978
0.6109.8292928307490.247731928278757
0.61109.8734163944520.226006603645825
0.62109.9139648094620.207050728466990
0.63109.9514188939890.190878914494745
0.64109.9862340925320.176771251770845
0.65110.0188532566240.164826940606879
0.66110.0497344911420.155009462349268
0.67110.0793865607670.147554354730984
0.68110.1084025900790.143061449072748
0.69110.1374825448150.142260064003692
0.7110.1674362541060.145850442693394
0.71110.1991614011920.154391995055566
0.72110.2335947849730.167701100394167
0.73110.2716399815320.185451745948581
0.74110.3140799142920.206348219652139
0.75110.3614881006820.229185443868156
0.76110.4141564193390.252082589166416
0.77110.4720586777220.273146539578393
0.78110.5348664104160.291037435793483
0.79110.6020248594560.304477850614894
0.8110.6728827002690.313324243923361
0.81110.7468504692480.318047816580103
0.82110.8235442048160.32007285207116
0.83110.9028596374410.321406437750372
0.84110.9849268498390.323742736509732
0.85111.0699223684800.327603643518159
0.86111.1577652053970.331882557623273
0.87111.2477841202520.333581584795712
0.88111.3384913791350.328695580579675
0.89111.4276034026520.313631523821104
0.9111.5123899658830.286943217571814
0.91111.5903177221680.250102096238003
0.92111.6598217556000.207693387668049
0.93111.7209452601490.166398180970357
0.94111.7755581765820.133122960667103
0.95111.8268814177640.112985933756669
0.96111.8781137672350.105763825237943
0.97111.9302489094950.102282903285710
0.98111.9799308674350.0879886604965473
0.99112.0192809306120.0569933697669512


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')