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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, 09 Oct 2015 09:57:29 +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/2015/Oct/09/t1444381081kab7x18xed6c8ws.htm/, Retrieved Tue, 14 May 2024 14:44:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281754, Retrieved Tue, 14 May 2024 14:44:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact73

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] [Afzetprijsindex v...] [2015-10-09 08:57:29] [2d6a838730984919764007611a305b0c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
98.4
98.1
97.5
97.7
98.2
98.9
99.9
100.9
101.8
102.1
103.1
103.4
105.5
106.7
106.9
107.2
107.7
107.3
107.2
107.1
106.6
106.6
106.5
106.7
106.3
108.9
109.9
110.8
110.5
111.2
111.4
112.2
113.2
114
114.2
114.6
115.9
116.1
116.4
116.7
117.9
118.1
118.3
118.8
118.4
118
117.9
117.9
117.9
117.3
117.8
117.8
117.8
117.6
117.3
116.3
114.3
113.8
113.5
114.7

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' @ 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281754&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281754&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281754&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' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0197.567807098480.229998366071518
0.0297.68545813282040.287855453842897
0.0397.83618286480250.355023527337898
0.0498.0093961425910.439985302931641
0.0598.2045848200280.562717328332178
0.0698.42793184604960.728621864747396
0.0798.68720349582640.92527865270061
0.0898.98774665276641.13243693801335
0.0999.33054922085541.33051221971491
0.199.71224099804111.5055365173954
0.11100.1263535013781.65098492047735
0.12100.5650112956691.76680985880589
0.13101.0203869617221.85730904261743
0.14101.4855584857941.92740272466933
0.15101.9547163152751.98037022548452
0.16102.4228883869332.01586022326456
0.17102.8854533600892.03046967875572
0.18103.3377050157432.01911775706194
0.19103.7746484776831.97718691528315
0.2104.1910946795771.90239349208476
0.21104.5820128565111.79579473680343
0.22104.9430289993721.6618410366445
0.23105.2709323197931.50846487104758
0.24105.5640680251081.34522540273608
0.25105.8225390634481.18234440821758
0.26106.0481939716131.02989594143611
0.27106.2444263375590.896553355675055
0.28106.4158430797620.789157699436212
0.29106.5678701015670.712993593904658
0.3106.7063573539520.670628708961269
0.31106.8372272640730.663017800049885
0.32106.9661884295620.688112766820003
0.33107.0985170058410.742067122449898
0.34107.2388954925770.820515506313972
0.35107.3912939874860.91844026253932
0.36107.5588812790541.03050549470259
0.37107.7439596451351.15171786153324
0.38107.9479246042011.27663372664396
0.39108.1712562262861.39974540994531
0.4108.4135501380321.51593091843189
0.41108.6735936428451.62085228575177
0.42108.9494863503171.71066317318004
0.43109.2387972405981.78309344173967
0.44109.5387434044661.83668763374527
0.45109.8463717442341.87159379791503
0.46110.158724842041.8886962834133
0.47110.4729760715341.88926911855872
0.48110.7865258597541.87570761179115
0.49111.0970590524711.8494568511393
0.5111.4025705814761.8126955102816
0.51111.7013713265241.76694408296353
0.52111.9920871736281.71352867396869
0.53112.2736617186041.65398084689369
0.54112.5453677179911.5899301556501
0.55112.8068258074011.52342146306329
0.56113.0580230231311.45650893042321
0.57113.2993199176021.39185332903967
0.58113.5314346005851.33204613529855
0.59113.7553950760631.27930608469022
0.6113.9724571122841.23529944726648
0.61114.1839922030081.20097801295501
0.62114.3913571916331.17578233308818
0.63114.5957621096411.1582320193285
0.64114.7981544428291.14609006468562
0.65114.9991358606571.13633262952799
0.66115.1989218143291.12627944556396
0.67115.3973465653491.11314479126814
0.68115.59390795981.09525088351996
0.69115.7878395642031.07142762101322
0.7115.9781942159241.04121462232396
0.71116.1639234127721.00472087638221
0.72116.3439410411330.962501286466393
0.73116.5171664971980.915115372756465
0.74116.6825494019580.863123335534465
0.75116.8390838197480.806926241479855
0.76116.985822582440.746933983532381
0.77117.1219013334490.683561380949757
0.78117.246577694820.617477529231807
0.79117.3592849742020.549553899112844
0.8117.4596940638430.481179721385183
0.81117.5477735547810.413885014974367
0.82117.6238377771550.349442960026818
0.83117.6885754683870.289584972890398
0.84117.7430567573780.236000386725106
0.85117.7887208986550.190020060353598
0.86117.8273493190030.152773790864864
0.87117.8610265475040.125258009200944
0.88117.8920858067090.108336773073581
0.89117.9230292991940.102523437715548
0.9117.9564115168920.107188063692877
0.91117.9946869172840.120162493149846
0.92118.0400630228610.138183506592455
0.93118.0944693477020.157722846453685
0.94118.1598085776360.175376390792292
0.95118.2385428805010.189635643978474
0.96118.3340950311090.203690340891013
0.97118.4493866808240.228297769574197
0.98118.5811165393040.275428433768339
0.99118.7103649684860.340051273845195

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 97.56780709848 & 0.229998366071518 \tabularnewline
0.02 & 97.6854581328204 & 0.287855453842897 \tabularnewline
0.03 & 97.8361828648025 & 0.355023527337898 \tabularnewline
0.04 & 98.009396142591 & 0.439985302931641 \tabularnewline
0.05 & 98.204584820028 & 0.562717328332178 \tabularnewline
0.06 & 98.4279318460496 & 0.728621864747396 \tabularnewline
0.07 & 98.6872034958264 & 0.92527865270061 \tabularnewline
0.08 & 98.9877466527664 & 1.13243693801335 \tabularnewline
0.09 & 99.3305492208554 & 1.33051221971491 \tabularnewline
0.1 & 99.7122409980411 & 1.5055365173954 \tabularnewline
0.11 & 100.126353501378 & 1.65098492047735 \tabularnewline
0.12 & 100.565011295669 & 1.76680985880589 \tabularnewline
0.13 & 101.020386961722 & 1.85730904261743 \tabularnewline
0.14 & 101.485558485794 & 1.92740272466933 \tabularnewline
0.15 & 101.954716315275 & 1.98037022548452 \tabularnewline
0.16 & 102.422888386933 & 2.01586022326456 \tabularnewline
0.17 & 102.885453360089 & 2.03046967875572 \tabularnewline
0.18 & 103.337705015743 & 2.01911775706194 \tabularnewline
0.19 & 103.774648477683 & 1.97718691528315 \tabularnewline
0.2 & 104.191094679577 & 1.90239349208476 \tabularnewline
0.21 & 104.582012856511 & 1.79579473680343 \tabularnewline
0.22 & 104.943028999372 & 1.6618410366445 \tabularnewline
0.23 & 105.270932319793 & 1.50846487104758 \tabularnewline
0.24 & 105.564068025108 & 1.34522540273608 \tabularnewline
0.25 & 105.822539063448 & 1.18234440821758 \tabularnewline
0.26 & 106.048193971613 & 1.02989594143611 \tabularnewline
0.27 & 106.244426337559 & 0.896553355675055 \tabularnewline
0.28 & 106.415843079762 & 0.789157699436212 \tabularnewline
0.29 & 106.567870101567 & 0.712993593904658 \tabularnewline
0.3 & 106.706357353952 & 0.670628708961269 \tabularnewline
0.31 & 106.837227264073 & 0.663017800049885 \tabularnewline
0.32 & 106.966188429562 & 0.688112766820003 \tabularnewline
0.33 & 107.098517005841 & 0.742067122449898 \tabularnewline
0.34 & 107.238895492577 & 0.820515506313972 \tabularnewline
0.35 & 107.391293987486 & 0.91844026253932 \tabularnewline
0.36 & 107.558881279054 & 1.03050549470259 \tabularnewline
0.37 & 107.743959645135 & 1.15171786153324 \tabularnewline
0.38 & 107.947924604201 & 1.27663372664396 \tabularnewline
0.39 & 108.171256226286 & 1.39974540994531 \tabularnewline
0.4 & 108.413550138032 & 1.51593091843189 \tabularnewline
0.41 & 108.673593642845 & 1.62085228575177 \tabularnewline
0.42 & 108.949486350317 & 1.71066317318004 \tabularnewline
0.43 & 109.238797240598 & 1.78309344173967 \tabularnewline
0.44 & 109.538743404466 & 1.83668763374527 \tabularnewline
0.45 & 109.846371744234 & 1.87159379791503 \tabularnewline
0.46 & 110.15872484204 & 1.8886962834133 \tabularnewline
0.47 & 110.472976071534 & 1.88926911855872 \tabularnewline
0.48 & 110.786525859754 & 1.87570761179115 \tabularnewline
0.49 & 111.097059052471 & 1.8494568511393 \tabularnewline
0.5 & 111.402570581476 & 1.8126955102816 \tabularnewline
0.51 & 111.701371326524 & 1.76694408296353 \tabularnewline
0.52 & 111.992087173628 & 1.71352867396869 \tabularnewline
0.53 & 112.273661718604 & 1.65398084689369 \tabularnewline
0.54 & 112.545367717991 & 1.5899301556501 \tabularnewline
0.55 & 112.806825807401 & 1.52342146306329 \tabularnewline
0.56 & 113.058023023131 & 1.45650893042321 \tabularnewline
0.57 & 113.299319917602 & 1.39185332903967 \tabularnewline
0.58 & 113.531434600585 & 1.33204613529855 \tabularnewline
0.59 & 113.755395076063 & 1.27930608469022 \tabularnewline
0.6 & 113.972457112284 & 1.23529944726648 \tabularnewline
0.61 & 114.183992203008 & 1.20097801295501 \tabularnewline
0.62 & 114.391357191633 & 1.17578233308818 \tabularnewline
0.63 & 114.595762109641 & 1.1582320193285 \tabularnewline
0.64 & 114.798154442829 & 1.14609006468562 \tabularnewline
0.65 & 114.999135860657 & 1.13633262952799 \tabularnewline
0.66 & 115.198921814329 & 1.12627944556396 \tabularnewline
0.67 & 115.397346565349 & 1.11314479126814 \tabularnewline
0.68 & 115.5939079598 & 1.09525088351996 \tabularnewline
0.69 & 115.787839564203 & 1.07142762101322 \tabularnewline
0.7 & 115.978194215924 & 1.04121462232396 \tabularnewline
0.71 & 116.163923412772 & 1.00472087638221 \tabularnewline
0.72 & 116.343941041133 & 0.962501286466393 \tabularnewline
0.73 & 116.517166497198 & 0.915115372756465 \tabularnewline
0.74 & 116.682549401958 & 0.863123335534465 \tabularnewline
0.75 & 116.839083819748 & 0.806926241479855 \tabularnewline
0.76 & 116.98582258244 & 0.746933983532381 \tabularnewline
0.77 & 117.121901333449 & 0.683561380949757 \tabularnewline
0.78 & 117.24657769482 & 0.617477529231807 \tabularnewline
0.79 & 117.359284974202 & 0.549553899112844 \tabularnewline
0.8 & 117.459694063843 & 0.481179721385183 \tabularnewline
0.81 & 117.547773554781 & 0.413885014974367 \tabularnewline
0.82 & 117.623837777155 & 0.349442960026818 \tabularnewline
0.83 & 117.688575468387 & 0.289584972890398 \tabularnewline
0.84 & 117.743056757378 & 0.236000386725106 \tabularnewline
0.85 & 117.788720898655 & 0.190020060353598 \tabularnewline
0.86 & 117.827349319003 & 0.152773790864864 \tabularnewline
0.87 & 117.861026547504 & 0.125258009200944 \tabularnewline
0.88 & 117.892085806709 & 0.108336773073581 \tabularnewline
0.89 & 117.923029299194 & 0.102523437715548 \tabularnewline
0.9 & 117.956411516892 & 0.107188063692877 \tabularnewline
0.91 & 117.994686917284 & 0.120162493149846 \tabularnewline
0.92 & 118.040063022861 & 0.138183506592455 \tabularnewline
0.93 & 118.094469347702 & 0.157722846453685 \tabularnewline
0.94 & 118.159808577636 & 0.175376390792292 \tabularnewline
0.95 & 118.238542880501 & 0.189635643978474 \tabularnewline
0.96 & 118.334095031109 & 0.203690340891013 \tabularnewline
0.97 & 118.449386680824 & 0.228297769574197 \tabularnewline
0.98 & 118.581116539304 & 0.275428433768339 \tabularnewline
0.99 & 118.710364968486 & 0.340051273845195 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281754&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]97.56780709848[/C][C]0.229998366071518[/C][/ROW]
[ROW][C]0.02[/C][C]97.6854581328204[/C][C]0.287855453842897[/C][/ROW]
[ROW][C]0.03[/C][C]97.8361828648025[/C][C]0.355023527337898[/C][/ROW]
[ROW][C]0.04[/C][C]98.009396142591[/C][C]0.439985302931641[/C][/ROW]
[ROW][C]0.05[/C][C]98.204584820028[/C][C]0.562717328332178[/C][/ROW]
[ROW][C]0.06[/C][C]98.4279318460496[/C][C]0.728621864747396[/C][/ROW]
[ROW][C]0.07[/C][C]98.6872034958264[/C][C]0.92527865270061[/C][/ROW]
[ROW][C]0.08[/C][C]98.9877466527664[/C][C]1.13243693801335[/C][/ROW]
[ROW][C]0.09[/C][C]99.3305492208554[/C][C]1.33051221971491[/C][/ROW]
[ROW][C]0.1[/C][C]99.7122409980411[/C][C]1.5055365173954[/C][/ROW]
[ROW][C]0.11[/C][C]100.126353501378[/C][C]1.65098492047735[/C][/ROW]
[ROW][C]0.12[/C][C]100.565011295669[/C][C]1.76680985880589[/C][/ROW]
[ROW][C]0.13[/C][C]101.020386961722[/C][C]1.85730904261743[/C][/ROW]
[ROW][C]0.14[/C][C]101.485558485794[/C][C]1.92740272466933[/C][/ROW]
[ROW][C]0.15[/C][C]101.954716315275[/C][C]1.98037022548452[/C][/ROW]
[ROW][C]0.16[/C][C]102.422888386933[/C][C]2.01586022326456[/C][/ROW]
[ROW][C]0.17[/C][C]102.885453360089[/C][C]2.03046967875572[/C][/ROW]
[ROW][C]0.18[/C][C]103.337705015743[/C][C]2.01911775706194[/C][/ROW]
[ROW][C]0.19[/C][C]103.774648477683[/C][C]1.97718691528315[/C][/ROW]
[ROW][C]0.2[/C][C]104.191094679577[/C][C]1.90239349208476[/C][/ROW]
[ROW][C]0.21[/C][C]104.582012856511[/C][C]1.79579473680343[/C][/ROW]
[ROW][C]0.22[/C][C]104.943028999372[/C][C]1.6618410366445[/C][/ROW]
[ROW][C]0.23[/C][C]105.270932319793[/C][C]1.50846487104758[/C][/ROW]
[ROW][C]0.24[/C][C]105.564068025108[/C][C]1.34522540273608[/C][/ROW]
[ROW][C]0.25[/C][C]105.822539063448[/C][C]1.18234440821758[/C][/ROW]
[ROW][C]0.26[/C][C]106.048193971613[/C][C]1.02989594143611[/C][/ROW]
[ROW][C]0.27[/C][C]106.244426337559[/C][C]0.896553355675055[/C][/ROW]
[ROW][C]0.28[/C][C]106.415843079762[/C][C]0.789157699436212[/C][/ROW]
[ROW][C]0.29[/C][C]106.567870101567[/C][C]0.712993593904658[/C][/ROW]
[ROW][C]0.3[/C][C]106.706357353952[/C][C]0.670628708961269[/C][/ROW]
[ROW][C]0.31[/C][C]106.837227264073[/C][C]0.663017800049885[/C][/ROW]
[ROW][C]0.32[/C][C]106.966188429562[/C][C]0.688112766820003[/C][/ROW]
[ROW][C]0.33[/C][C]107.098517005841[/C][C]0.742067122449898[/C][/ROW]
[ROW][C]0.34[/C][C]107.238895492577[/C][C]0.820515506313972[/C][/ROW]
[ROW][C]0.35[/C][C]107.391293987486[/C][C]0.91844026253932[/C][/ROW]
[ROW][C]0.36[/C][C]107.558881279054[/C][C]1.03050549470259[/C][/ROW]
[ROW][C]0.37[/C][C]107.743959645135[/C][C]1.15171786153324[/C][/ROW]
[ROW][C]0.38[/C][C]107.947924604201[/C][C]1.27663372664396[/C][/ROW]
[ROW][C]0.39[/C][C]108.171256226286[/C][C]1.39974540994531[/C][/ROW]
[ROW][C]0.4[/C][C]108.413550138032[/C][C]1.51593091843189[/C][/ROW]
[ROW][C]0.41[/C][C]108.673593642845[/C][C]1.62085228575177[/C][/ROW]
[ROW][C]0.42[/C][C]108.949486350317[/C][C]1.71066317318004[/C][/ROW]
[ROW][C]0.43[/C][C]109.238797240598[/C][C]1.78309344173967[/C][/ROW]
[ROW][C]0.44[/C][C]109.538743404466[/C][C]1.83668763374527[/C][/ROW]
[ROW][C]0.45[/C][C]109.846371744234[/C][C]1.87159379791503[/C][/ROW]
[ROW][C]0.46[/C][C]110.15872484204[/C][C]1.8886962834133[/C][/ROW]
[ROW][C]0.47[/C][C]110.472976071534[/C][C]1.88926911855872[/C][/ROW]
[ROW][C]0.48[/C][C]110.786525859754[/C][C]1.87570761179115[/C][/ROW]
[ROW][C]0.49[/C][C]111.097059052471[/C][C]1.8494568511393[/C][/ROW]
[ROW][C]0.5[/C][C]111.402570581476[/C][C]1.8126955102816[/C][/ROW]
[ROW][C]0.51[/C][C]111.701371326524[/C][C]1.76694408296353[/C][/ROW]
[ROW][C]0.52[/C][C]111.992087173628[/C][C]1.71352867396869[/C][/ROW]
[ROW][C]0.53[/C][C]112.273661718604[/C][C]1.65398084689369[/C][/ROW]
[ROW][C]0.54[/C][C]112.545367717991[/C][C]1.5899301556501[/C][/ROW]
[ROW][C]0.55[/C][C]112.806825807401[/C][C]1.52342146306329[/C][/ROW]
[ROW][C]0.56[/C][C]113.058023023131[/C][C]1.45650893042321[/C][/ROW]
[ROW][C]0.57[/C][C]113.299319917602[/C][C]1.39185332903967[/C][/ROW]
[ROW][C]0.58[/C][C]113.531434600585[/C][C]1.33204613529855[/C][/ROW]
[ROW][C]0.59[/C][C]113.755395076063[/C][C]1.27930608469022[/C][/ROW]
[ROW][C]0.6[/C][C]113.972457112284[/C][C]1.23529944726648[/C][/ROW]
[ROW][C]0.61[/C][C]114.183992203008[/C][C]1.20097801295501[/C][/ROW]
[ROW][C]0.62[/C][C]114.391357191633[/C][C]1.17578233308818[/C][/ROW]
[ROW][C]0.63[/C][C]114.595762109641[/C][C]1.1582320193285[/C][/ROW]
[ROW][C]0.64[/C][C]114.798154442829[/C][C]1.14609006468562[/C][/ROW]
[ROW][C]0.65[/C][C]114.999135860657[/C][C]1.13633262952799[/C][/ROW]
[ROW][C]0.66[/C][C]115.198921814329[/C][C]1.12627944556396[/C][/ROW]
[ROW][C]0.67[/C][C]115.397346565349[/C][C]1.11314479126814[/C][/ROW]
[ROW][C]0.68[/C][C]115.5939079598[/C][C]1.09525088351996[/C][/ROW]
[ROW][C]0.69[/C][C]115.787839564203[/C][C]1.07142762101322[/C][/ROW]
[ROW][C]0.7[/C][C]115.978194215924[/C][C]1.04121462232396[/C][/ROW]
[ROW][C]0.71[/C][C]116.163923412772[/C][C]1.00472087638221[/C][/ROW]
[ROW][C]0.72[/C][C]116.343941041133[/C][C]0.962501286466393[/C][/ROW]
[ROW][C]0.73[/C][C]116.517166497198[/C][C]0.915115372756465[/C][/ROW]
[ROW][C]0.74[/C][C]116.682549401958[/C][C]0.863123335534465[/C][/ROW]
[ROW][C]0.75[/C][C]116.839083819748[/C][C]0.806926241479855[/C][/ROW]
[ROW][C]0.76[/C][C]116.98582258244[/C][C]0.746933983532381[/C][/ROW]
[ROW][C]0.77[/C][C]117.121901333449[/C][C]0.683561380949757[/C][/ROW]
[ROW][C]0.78[/C][C]117.24657769482[/C][C]0.617477529231807[/C][/ROW]
[ROW][C]0.79[/C][C]117.359284974202[/C][C]0.549553899112844[/C][/ROW]
[ROW][C]0.8[/C][C]117.459694063843[/C][C]0.481179721385183[/C][/ROW]
[ROW][C]0.81[/C][C]117.547773554781[/C][C]0.413885014974367[/C][/ROW]
[ROW][C]0.82[/C][C]117.623837777155[/C][C]0.349442960026818[/C][/ROW]
[ROW][C]0.83[/C][C]117.688575468387[/C][C]0.289584972890398[/C][/ROW]
[ROW][C]0.84[/C][C]117.743056757378[/C][C]0.236000386725106[/C][/ROW]
[ROW][C]0.85[/C][C]117.788720898655[/C][C]0.190020060353598[/C][/ROW]
[ROW][C]0.86[/C][C]117.827349319003[/C][C]0.152773790864864[/C][/ROW]
[ROW][C]0.87[/C][C]117.861026547504[/C][C]0.125258009200944[/C][/ROW]
[ROW][C]0.88[/C][C]117.892085806709[/C][C]0.108336773073581[/C][/ROW]
[ROW][C]0.89[/C][C]117.923029299194[/C][C]0.102523437715548[/C][/ROW]
[ROW][C]0.9[/C][C]117.956411516892[/C][C]0.107188063692877[/C][/ROW]
[ROW][C]0.91[/C][C]117.994686917284[/C][C]0.120162493149846[/C][/ROW]
[ROW][C]0.92[/C][C]118.040063022861[/C][C]0.138183506592455[/C][/ROW]
[ROW][C]0.93[/C][C]118.094469347702[/C][C]0.157722846453685[/C][/ROW]
[ROW][C]0.94[/C][C]118.159808577636[/C][C]0.175376390792292[/C][/ROW]
[ROW][C]0.95[/C][C]118.238542880501[/C][C]0.189635643978474[/C][/ROW]
[ROW][C]0.96[/C][C]118.334095031109[/C][C]0.203690340891013[/C][/ROW]
[ROW][C]0.97[/C][C]118.449386680824[/C][C]0.228297769574197[/C][/ROW]
[ROW][C]0.98[/C][C]118.581116539304[/C][C]0.275428433768339[/C][/ROW]
[ROW][C]0.99[/C][C]118.710364968486[/C][C]0.340051273845195[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281754&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281754&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
0.0197.567807098480.229998366071518
0.0297.68545813282040.287855453842897
0.0397.83618286480250.355023527337898
0.0498.0093961425910.439985302931641
0.0598.2045848200280.562717328332178
0.0698.42793184604960.728621864747396
0.0798.68720349582640.92527865270061
0.0898.98774665276641.13243693801335
0.0999.33054922085541.33051221971491
0.199.71224099804111.5055365173954
0.11100.1263535013781.65098492047735
0.12100.5650112956691.76680985880589
0.13101.0203869617221.85730904261743
0.14101.4855584857941.92740272466933
0.15101.9547163152751.98037022548452
0.16102.4228883869332.01586022326456
0.17102.8854533600892.03046967875572
0.18103.3377050157432.01911775706194
0.19103.7746484776831.97718691528315
0.2104.1910946795771.90239349208476
0.21104.5820128565111.79579473680343
0.22104.9430289993721.6618410366445
0.23105.2709323197931.50846487104758
0.24105.5640680251081.34522540273608
0.25105.8225390634481.18234440821758
0.26106.0481939716131.02989594143611
0.27106.2444263375590.896553355675055
0.28106.4158430797620.789157699436212
0.29106.5678701015670.712993593904658
0.3106.7063573539520.670628708961269
0.31106.8372272640730.663017800049885
0.32106.9661884295620.688112766820003
0.33107.0985170058410.742067122449898
0.34107.2388954925770.820515506313972
0.35107.3912939874860.91844026253932
0.36107.5588812790541.03050549470259
0.37107.7439596451351.15171786153324
0.38107.9479246042011.27663372664396
0.39108.1712562262861.39974540994531
0.4108.4135501380321.51593091843189
0.41108.6735936428451.62085228575177
0.42108.9494863503171.71066317318004
0.43109.2387972405981.78309344173967
0.44109.5387434044661.83668763374527
0.45109.8463717442341.87159379791503
0.46110.158724842041.8886962834133
0.47110.4729760715341.88926911855872
0.48110.7865258597541.87570761179115
0.49111.0970590524711.8494568511393
0.5111.4025705814761.8126955102816
0.51111.7013713265241.76694408296353
0.52111.9920871736281.71352867396869
0.53112.2736617186041.65398084689369
0.54112.5453677179911.5899301556501
0.55112.8068258074011.52342146306329
0.56113.0580230231311.45650893042321
0.57113.2993199176021.39185332903967
0.58113.5314346005851.33204613529855
0.59113.7553950760631.27930608469022
0.6113.9724571122841.23529944726648
0.61114.1839922030081.20097801295501
0.62114.3913571916331.17578233308818
0.63114.5957621096411.1582320193285
0.64114.7981544428291.14609006468562
0.65114.9991358606571.13633262952799
0.66115.1989218143291.12627944556396
0.67115.3973465653491.11314479126814
0.68115.59390795981.09525088351996
0.69115.7878395642031.07142762101322
0.7115.9781942159241.04121462232396
0.71116.1639234127721.00472087638221
0.72116.3439410411330.962501286466393
0.73116.5171664971980.915115372756465
0.74116.6825494019580.863123335534465
0.75116.8390838197480.806926241479855
0.76116.985822582440.746933983532381
0.77117.1219013334490.683561380949757
0.78117.246577694820.617477529231807
0.79117.3592849742020.549553899112844
0.8117.4596940638430.481179721385183
0.81117.5477735547810.413885014974367
0.82117.6238377771550.349442960026818
0.83117.6885754683870.289584972890398
0.84117.7430567573780.236000386725106
0.85117.7887208986550.190020060353598
0.86117.8273493190030.152773790864864
0.87117.8610265475040.125258009200944
0.88117.8920858067090.108336773073581
0.89117.9230292991940.102523437715548
0.9117.9564115168920.107188063692877
0.91117.9946869172840.120162493149846
0.92118.0400630228610.138183506592455
0.93118.0944693477020.157722846453685
0.94118.1598085776360.175376390792292
0.95118.2385428805010.189635643978474
0.96118.3340950311090.203690340891013
0.97118.4493866808240.228297769574197
0.98118.5811165393040.275428433768339
0.99118.7103649684860.340051273845195


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.90 ; par3 = 0.10 ;
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')