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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 computationThu, 03 Oct 2013 08:31:10 -0400
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/Oct/03/t1380803579cr0nen0f6f0aq7p.htm/, Retrieved Thu, 02 May 2024 03:45:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212882, Retrieved Thu, 02 May 2024 03:45:38 +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] [] [2013-10-03 12:31:10] [52cb9535ca11c6f6481093732e3934f7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
6.35
6.33
6.36
6.37
6.33
6.34
6.42
6.42
6.48
6.47
6.5
6.52
6.49
6.51
6.52
6.54
6.59
6.6
6.59
6.58
6.55
6.57
6.61
6.61
6.64
6.59
6.67
6.58
6.66
6.7
6.65
6.65
6.73
6.74
6.74
6.71
6.78
6.83
6.8
6.84
6.81
6.75
6.8
6.84
6.8
6.84
6.79
6.8
6.68
6.82
6.85
6.85
6.85
6.92
6.91
6.94
6.99
7.05
6.98
6.91
6.98
7.06
7.05
6.95
7.09
7.15
7.1
7.2
7.26
7.26
7.24
7.26
7.26
7.3
7.21
7.23
7.33
7.33
7.31
7.3
7.35
7.4
7.43
7.42

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212882&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]3 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=212882&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212882&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 time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.331584982625040.00438805137920923
0.026.335853200636560.0104177561935232
0.036.342983260048550.0167506800808768
0.046.35272940161480.0238389333755069
0.056.364869986935810.0316147278502242
0.066.379154598753750.038967141444564
0.076.395105918641110.0445773164694689
0.086.411988416629310.0476246037732102
0.096.428958809820760.0480502706917432
0.16.445268343149190.0463929449113708
0.116.460405981905720.0434920060735944
0.126.474144068838430.0402275919239976
0.136.486502237566220.0372988805142057
0.146.497666058183420.0351335592953921
0.156.507895233263560.0338272746946046
0.166.517445698779280.0332223025299299
0.176.526518417733990.0329974508508343
0.186.535237927881540.0328504427645342
0.196.543656661784030.0325288287773857
0.26.55177682970080.031924032474426
0.216.559580064411770.0310721405421973
0.226.567055688137750.0301161187594829
0.236.574220823696060.0292748667018812
0.246.581128917293940.0287709057584679
0.256.587866729401970.0287610066596543
0.266.594542670259150.0293189669755441
0.276.601270930548890.0304143837822069
0.286.608155999819450.0319437169434908
0.296.615281100046540.0337497998640096
0.36.62270230516440.035690356632081
0.316.630448280669950.0376317588578128
0.326.638524175212190.0395087832238785
0.336.646917517892740.0412593547919999
0.346.655604045890010.0428695933792073
0.356.664552012895720.0443218508537888
0.366.673724398643320.0455833261301644
0.376.683079244454720.0466341288215498
0.386.692568867479840.0474236687100178
0.396.702138886028710.0479213481705147
0.46.711727874601410.04807149735564
0.416.721268183531580.0478483611420553
0.426.730688130551170.0472203594842629
0.436.739915481944060.046204415367349
0.446.7488819169110.044817276032158
0.456.757528005106750.0431177918627076
0.466.765808118689530.0411846131946618
0.476.77369466172780.0391125527866934
0.486.781181062202360.0370303725107622
0.496.788283155389780.0350627340793003
0.56.795038872306710.0333245333174601
0.516.801506461614350.0319359417464792
0.526.807761713083530.030969149267185
0.536.813894720861840.0305000865087325
0.546.820006589897030.0305620030883948
0.556.826206200791520.0312060829309244
0.566.832606835929740.032427310910222
0.576.839322289511640.0342384683396645
0.586.846462151156750.0365719808504171
0.596.854126281696530.0393751701617399
0.66.862398985406080.0425308542618562
0.616.871343832716140.0458947095085872
0.626.881000296658290.0493111854208298
0.636.891383205458020.0526483436906426
0.646.902485490192380.0557935164850125
0.656.914283970442620.0586786055754128
0.666.926747208555430.0612887297530943
0.676.939843998367270.0636600489932082
0.686.953550951854610.065856343055325
0.696.967857864763870.0679580403288832
0.76.982769910397930.0700325974002586
0.716.998306035325850.0721549772521501
0.727.014493121958770.0743405257517557
0.737.031355638764260.0765728155155234
0.747.048900880089610.0787709516594286
0.757.067100776237460.0807597082347734
0.767.085872693231720.0822746173976987
0.777.105063322939310.0829970582802708
0.787.124440996166430.082561525758388
0.797.143701705159650.0806711603969435
0.87.16249222036460.0771628369905597
0.817.18044995357540.0720711299929587
0.827.197254399506760.0656747761460732
0.837.212680371295230.0584672732618471
0.847.226640329139390.0510983768443745
0.857.239203258174760.0442627883689735
0.867.250581754092910.0385665380630227
0.877.261087417441870.0343787555709249
0.887.27106617929930.0316930140837729
0.897.280836752938940.0301527725235302
0.97.290662134984350.0292361213913597
0.917.300779657101850.0285880455290141
0.927.311492206150490.0282873850575664
0.937.323275849290410.0288965424921528
0.947.336793939432460.0311045653455944
0.957.352670140891520.0347064090359402
0.967.370960321557340.0376041404605404
0.977.390544554773950.036270578250047
0.987.408953566657130.0284051557466405
0.997.42298484262270.0167491005301524

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.33158498262504 & 0.00438805137920923 \tabularnewline
0.02 & 6.33585320063656 & 0.0104177561935232 \tabularnewline
0.03 & 6.34298326004855 & 0.0167506800808768 \tabularnewline
0.04 & 6.3527294016148 & 0.0238389333755069 \tabularnewline
0.05 & 6.36486998693581 & 0.0316147278502242 \tabularnewline
0.06 & 6.37915459875375 & 0.038967141444564 \tabularnewline
0.07 & 6.39510591864111 & 0.0445773164694689 \tabularnewline
0.08 & 6.41198841662931 & 0.0476246037732102 \tabularnewline
0.09 & 6.42895880982076 & 0.0480502706917432 \tabularnewline
0.1 & 6.44526834314919 & 0.0463929449113708 \tabularnewline
0.11 & 6.46040598190572 & 0.0434920060735944 \tabularnewline
0.12 & 6.47414406883843 & 0.0402275919239976 \tabularnewline
0.13 & 6.48650223756622 & 0.0372988805142057 \tabularnewline
0.14 & 6.49766605818342 & 0.0351335592953921 \tabularnewline
0.15 & 6.50789523326356 & 0.0338272746946046 \tabularnewline
0.16 & 6.51744569877928 & 0.0332223025299299 \tabularnewline
0.17 & 6.52651841773399 & 0.0329974508508343 \tabularnewline
0.18 & 6.53523792788154 & 0.0328504427645342 \tabularnewline
0.19 & 6.54365666178403 & 0.0325288287773857 \tabularnewline
0.2 & 6.5517768297008 & 0.031924032474426 \tabularnewline
0.21 & 6.55958006441177 & 0.0310721405421973 \tabularnewline
0.22 & 6.56705568813775 & 0.0301161187594829 \tabularnewline
0.23 & 6.57422082369606 & 0.0292748667018812 \tabularnewline
0.24 & 6.58112891729394 & 0.0287709057584679 \tabularnewline
0.25 & 6.58786672940197 & 0.0287610066596543 \tabularnewline
0.26 & 6.59454267025915 & 0.0293189669755441 \tabularnewline
0.27 & 6.60127093054889 & 0.0304143837822069 \tabularnewline
0.28 & 6.60815599981945 & 0.0319437169434908 \tabularnewline
0.29 & 6.61528110004654 & 0.0337497998640096 \tabularnewline
0.3 & 6.6227023051644 & 0.035690356632081 \tabularnewline
0.31 & 6.63044828066995 & 0.0376317588578128 \tabularnewline
0.32 & 6.63852417521219 & 0.0395087832238785 \tabularnewline
0.33 & 6.64691751789274 & 0.0412593547919999 \tabularnewline
0.34 & 6.65560404589001 & 0.0428695933792073 \tabularnewline
0.35 & 6.66455201289572 & 0.0443218508537888 \tabularnewline
0.36 & 6.67372439864332 & 0.0455833261301644 \tabularnewline
0.37 & 6.68307924445472 & 0.0466341288215498 \tabularnewline
0.38 & 6.69256886747984 & 0.0474236687100178 \tabularnewline
0.39 & 6.70213888602871 & 0.0479213481705147 \tabularnewline
0.4 & 6.71172787460141 & 0.04807149735564 \tabularnewline
0.41 & 6.72126818353158 & 0.0478483611420553 \tabularnewline
0.42 & 6.73068813055117 & 0.0472203594842629 \tabularnewline
0.43 & 6.73991548194406 & 0.046204415367349 \tabularnewline
0.44 & 6.748881916911 & 0.044817276032158 \tabularnewline
0.45 & 6.75752800510675 & 0.0431177918627076 \tabularnewline
0.46 & 6.76580811868953 & 0.0411846131946618 \tabularnewline
0.47 & 6.7736946617278 & 0.0391125527866934 \tabularnewline
0.48 & 6.78118106220236 & 0.0370303725107622 \tabularnewline
0.49 & 6.78828315538978 & 0.0350627340793003 \tabularnewline
0.5 & 6.79503887230671 & 0.0333245333174601 \tabularnewline
0.51 & 6.80150646161435 & 0.0319359417464792 \tabularnewline
0.52 & 6.80776171308353 & 0.030969149267185 \tabularnewline
0.53 & 6.81389472086184 & 0.0305000865087325 \tabularnewline
0.54 & 6.82000658989703 & 0.0305620030883948 \tabularnewline
0.55 & 6.82620620079152 & 0.0312060829309244 \tabularnewline
0.56 & 6.83260683592974 & 0.032427310910222 \tabularnewline
0.57 & 6.83932228951164 & 0.0342384683396645 \tabularnewline
0.58 & 6.84646215115675 & 0.0365719808504171 \tabularnewline
0.59 & 6.85412628169653 & 0.0393751701617399 \tabularnewline
0.6 & 6.86239898540608 & 0.0425308542618562 \tabularnewline
0.61 & 6.87134383271614 & 0.0458947095085872 \tabularnewline
0.62 & 6.88100029665829 & 0.0493111854208298 \tabularnewline
0.63 & 6.89138320545802 & 0.0526483436906426 \tabularnewline
0.64 & 6.90248549019238 & 0.0557935164850125 \tabularnewline
0.65 & 6.91428397044262 & 0.0586786055754128 \tabularnewline
0.66 & 6.92674720855543 & 0.0612887297530943 \tabularnewline
0.67 & 6.93984399836727 & 0.0636600489932082 \tabularnewline
0.68 & 6.95355095185461 & 0.065856343055325 \tabularnewline
0.69 & 6.96785786476387 & 0.0679580403288832 \tabularnewline
0.7 & 6.98276991039793 & 0.0700325974002586 \tabularnewline
0.71 & 6.99830603532585 & 0.0721549772521501 \tabularnewline
0.72 & 7.01449312195877 & 0.0743405257517557 \tabularnewline
0.73 & 7.03135563876426 & 0.0765728155155234 \tabularnewline
0.74 & 7.04890088008961 & 0.0787709516594286 \tabularnewline
0.75 & 7.06710077623746 & 0.0807597082347734 \tabularnewline
0.76 & 7.08587269323172 & 0.0822746173976987 \tabularnewline
0.77 & 7.10506332293931 & 0.0829970582802708 \tabularnewline
0.78 & 7.12444099616643 & 0.082561525758388 \tabularnewline
0.79 & 7.14370170515965 & 0.0806711603969435 \tabularnewline
0.8 & 7.1624922203646 & 0.0771628369905597 \tabularnewline
0.81 & 7.1804499535754 & 0.0720711299929587 \tabularnewline
0.82 & 7.19725439950676 & 0.0656747761460732 \tabularnewline
0.83 & 7.21268037129523 & 0.0584672732618471 \tabularnewline
0.84 & 7.22664032913939 & 0.0510983768443745 \tabularnewline
0.85 & 7.23920325817476 & 0.0442627883689735 \tabularnewline
0.86 & 7.25058175409291 & 0.0385665380630227 \tabularnewline
0.87 & 7.26108741744187 & 0.0343787555709249 \tabularnewline
0.88 & 7.2710661792993 & 0.0316930140837729 \tabularnewline
0.89 & 7.28083675293894 & 0.0301527725235302 \tabularnewline
0.9 & 7.29066213498435 & 0.0292361213913597 \tabularnewline
0.91 & 7.30077965710185 & 0.0285880455290141 \tabularnewline
0.92 & 7.31149220615049 & 0.0282873850575664 \tabularnewline
0.93 & 7.32327584929041 & 0.0288965424921528 \tabularnewline
0.94 & 7.33679393943246 & 0.0311045653455944 \tabularnewline
0.95 & 7.35267014089152 & 0.0347064090359402 \tabularnewline
0.96 & 7.37096032155734 & 0.0376041404605404 \tabularnewline
0.97 & 7.39054455477395 & 0.036270578250047 \tabularnewline
0.98 & 7.40895356665713 & 0.0284051557466405 \tabularnewline
0.99 & 7.4229848426227 & 0.0167491005301524 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212882&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]6.33158498262504[/C][C]0.00438805137920923[/C][/ROW]
[ROW][C]0.02[/C][C]6.33585320063656[/C][C]0.0104177561935232[/C][/ROW]
[ROW][C]0.03[/C][C]6.34298326004855[/C][C]0.0167506800808768[/C][/ROW]
[ROW][C]0.04[/C][C]6.3527294016148[/C][C]0.0238389333755069[/C][/ROW]
[ROW][C]0.05[/C][C]6.36486998693581[/C][C]0.0316147278502242[/C][/ROW]
[ROW][C]0.06[/C][C]6.37915459875375[/C][C]0.038967141444564[/C][/ROW]
[ROW][C]0.07[/C][C]6.39510591864111[/C][C]0.0445773164694689[/C][/ROW]
[ROW][C]0.08[/C][C]6.41198841662931[/C][C]0.0476246037732102[/C][/ROW]
[ROW][C]0.09[/C][C]6.42895880982076[/C][C]0.0480502706917432[/C][/ROW]
[ROW][C]0.1[/C][C]6.44526834314919[/C][C]0.0463929449113708[/C][/ROW]
[ROW][C]0.11[/C][C]6.46040598190572[/C][C]0.0434920060735944[/C][/ROW]
[ROW][C]0.12[/C][C]6.47414406883843[/C][C]0.0402275919239976[/C][/ROW]
[ROW][C]0.13[/C][C]6.48650223756622[/C][C]0.0372988805142057[/C][/ROW]
[ROW][C]0.14[/C][C]6.49766605818342[/C][C]0.0351335592953921[/C][/ROW]
[ROW][C]0.15[/C][C]6.50789523326356[/C][C]0.0338272746946046[/C][/ROW]
[ROW][C]0.16[/C][C]6.51744569877928[/C][C]0.0332223025299299[/C][/ROW]
[ROW][C]0.17[/C][C]6.52651841773399[/C][C]0.0329974508508343[/C][/ROW]
[ROW][C]0.18[/C][C]6.53523792788154[/C][C]0.0328504427645342[/C][/ROW]
[ROW][C]0.19[/C][C]6.54365666178403[/C][C]0.0325288287773857[/C][/ROW]
[ROW][C]0.2[/C][C]6.5517768297008[/C][C]0.031924032474426[/C][/ROW]
[ROW][C]0.21[/C][C]6.55958006441177[/C][C]0.0310721405421973[/C][/ROW]
[ROW][C]0.22[/C][C]6.56705568813775[/C][C]0.0301161187594829[/C][/ROW]
[ROW][C]0.23[/C][C]6.57422082369606[/C][C]0.0292748667018812[/C][/ROW]
[ROW][C]0.24[/C][C]6.58112891729394[/C][C]0.0287709057584679[/C][/ROW]
[ROW][C]0.25[/C][C]6.58786672940197[/C][C]0.0287610066596543[/C][/ROW]
[ROW][C]0.26[/C][C]6.59454267025915[/C][C]0.0293189669755441[/C][/ROW]
[ROW][C]0.27[/C][C]6.60127093054889[/C][C]0.0304143837822069[/C][/ROW]
[ROW][C]0.28[/C][C]6.60815599981945[/C][C]0.0319437169434908[/C][/ROW]
[ROW][C]0.29[/C][C]6.61528110004654[/C][C]0.0337497998640096[/C][/ROW]
[ROW][C]0.3[/C][C]6.6227023051644[/C][C]0.035690356632081[/C][/ROW]
[ROW][C]0.31[/C][C]6.63044828066995[/C][C]0.0376317588578128[/C][/ROW]
[ROW][C]0.32[/C][C]6.63852417521219[/C][C]0.0395087832238785[/C][/ROW]
[ROW][C]0.33[/C][C]6.64691751789274[/C][C]0.0412593547919999[/C][/ROW]
[ROW][C]0.34[/C][C]6.65560404589001[/C][C]0.0428695933792073[/C][/ROW]
[ROW][C]0.35[/C][C]6.66455201289572[/C][C]0.0443218508537888[/C][/ROW]
[ROW][C]0.36[/C][C]6.67372439864332[/C][C]0.0455833261301644[/C][/ROW]
[ROW][C]0.37[/C][C]6.68307924445472[/C][C]0.0466341288215498[/C][/ROW]
[ROW][C]0.38[/C][C]6.69256886747984[/C][C]0.0474236687100178[/C][/ROW]
[ROW][C]0.39[/C][C]6.70213888602871[/C][C]0.0479213481705147[/C][/ROW]
[ROW][C]0.4[/C][C]6.71172787460141[/C][C]0.04807149735564[/C][/ROW]
[ROW][C]0.41[/C][C]6.72126818353158[/C][C]0.0478483611420553[/C][/ROW]
[ROW][C]0.42[/C][C]6.73068813055117[/C][C]0.0472203594842629[/C][/ROW]
[ROW][C]0.43[/C][C]6.73991548194406[/C][C]0.046204415367349[/C][/ROW]
[ROW][C]0.44[/C][C]6.748881916911[/C][C]0.044817276032158[/C][/ROW]
[ROW][C]0.45[/C][C]6.75752800510675[/C][C]0.0431177918627076[/C][/ROW]
[ROW][C]0.46[/C][C]6.76580811868953[/C][C]0.0411846131946618[/C][/ROW]
[ROW][C]0.47[/C][C]6.7736946617278[/C][C]0.0391125527866934[/C][/ROW]
[ROW][C]0.48[/C][C]6.78118106220236[/C][C]0.0370303725107622[/C][/ROW]
[ROW][C]0.49[/C][C]6.78828315538978[/C][C]0.0350627340793003[/C][/ROW]
[ROW][C]0.5[/C][C]6.79503887230671[/C][C]0.0333245333174601[/C][/ROW]
[ROW][C]0.51[/C][C]6.80150646161435[/C][C]0.0319359417464792[/C][/ROW]
[ROW][C]0.52[/C][C]6.80776171308353[/C][C]0.030969149267185[/C][/ROW]
[ROW][C]0.53[/C][C]6.81389472086184[/C][C]0.0305000865087325[/C][/ROW]
[ROW][C]0.54[/C][C]6.82000658989703[/C][C]0.0305620030883948[/C][/ROW]
[ROW][C]0.55[/C][C]6.82620620079152[/C][C]0.0312060829309244[/C][/ROW]
[ROW][C]0.56[/C][C]6.83260683592974[/C][C]0.032427310910222[/C][/ROW]
[ROW][C]0.57[/C][C]6.83932228951164[/C][C]0.0342384683396645[/C][/ROW]
[ROW][C]0.58[/C][C]6.84646215115675[/C][C]0.0365719808504171[/C][/ROW]
[ROW][C]0.59[/C][C]6.85412628169653[/C][C]0.0393751701617399[/C][/ROW]
[ROW][C]0.6[/C][C]6.86239898540608[/C][C]0.0425308542618562[/C][/ROW]
[ROW][C]0.61[/C][C]6.87134383271614[/C][C]0.0458947095085872[/C][/ROW]
[ROW][C]0.62[/C][C]6.88100029665829[/C][C]0.0493111854208298[/C][/ROW]
[ROW][C]0.63[/C][C]6.89138320545802[/C][C]0.0526483436906426[/C][/ROW]
[ROW][C]0.64[/C][C]6.90248549019238[/C][C]0.0557935164850125[/C][/ROW]
[ROW][C]0.65[/C][C]6.91428397044262[/C][C]0.0586786055754128[/C][/ROW]
[ROW][C]0.66[/C][C]6.92674720855543[/C][C]0.0612887297530943[/C][/ROW]
[ROW][C]0.67[/C][C]6.93984399836727[/C][C]0.0636600489932082[/C][/ROW]
[ROW][C]0.68[/C][C]6.95355095185461[/C][C]0.065856343055325[/C][/ROW]
[ROW][C]0.69[/C][C]6.96785786476387[/C][C]0.0679580403288832[/C][/ROW]
[ROW][C]0.7[/C][C]6.98276991039793[/C][C]0.0700325974002586[/C][/ROW]
[ROW][C]0.71[/C][C]6.99830603532585[/C][C]0.0721549772521501[/C][/ROW]
[ROW][C]0.72[/C][C]7.01449312195877[/C][C]0.0743405257517557[/C][/ROW]
[ROW][C]0.73[/C][C]7.03135563876426[/C][C]0.0765728155155234[/C][/ROW]
[ROW][C]0.74[/C][C]7.04890088008961[/C][C]0.0787709516594286[/C][/ROW]
[ROW][C]0.75[/C][C]7.06710077623746[/C][C]0.0807597082347734[/C][/ROW]
[ROW][C]0.76[/C][C]7.08587269323172[/C][C]0.0822746173976987[/C][/ROW]
[ROW][C]0.77[/C][C]7.10506332293931[/C][C]0.0829970582802708[/C][/ROW]
[ROW][C]0.78[/C][C]7.12444099616643[/C][C]0.082561525758388[/C][/ROW]
[ROW][C]0.79[/C][C]7.14370170515965[/C][C]0.0806711603969435[/C][/ROW]
[ROW][C]0.8[/C][C]7.1624922203646[/C][C]0.0771628369905597[/C][/ROW]
[ROW][C]0.81[/C][C]7.1804499535754[/C][C]0.0720711299929587[/C][/ROW]
[ROW][C]0.82[/C][C]7.19725439950676[/C][C]0.0656747761460732[/C][/ROW]
[ROW][C]0.83[/C][C]7.21268037129523[/C][C]0.0584672732618471[/C][/ROW]
[ROW][C]0.84[/C][C]7.22664032913939[/C][C]0.0510983768443745[/C][/ROW]
[ROW][C]0.85[/C][C]7.23920325817476[/C][C]0.0442627883689735[/C][/ROW]
[ROW][C]0.86[/C][C]7.25058175409291[/C][C]0.0385665380630227[/C][/ROW]
[ROW][C]0.87[/C][C]7.26108741744187[/C][C]0.0343787555709249[/C][/ROW]
[ROW][C]0.88[/C][C]7.2710661792993[/C][C]0.0316930140837729[/C][/ROW]
[ROW][C]0.89[/C][C]7.28083675293894[/C][C]0.0301527725235302[/C][/ROW]
[ROW][C]0.9[/C][C]7.29066213498435[/C][C]0.0292361213913597[/C][/ROW]
[ROW][C]0.91[/C][C]7.30077965710185[/C][C]0.0285880455290141[/C][/ROW]
[ROW][C]0.92[/C][C]7.31149220615049[/C][C]0.0282873850575664[/C][/ROW]
[ROW][C]0.93[/C][C]7.32327584929041[/C][C]0.0288965424921528[/C][/ROW]
[ROW][C]0.94[/C][C]7.33679393943246[/C][C]0.0311045653455944[/C][/ROW]
[ROW][C]0.95[/C][C]7.35267014089152[/C][C]0.0347064090359402[/C][/ROW]
[ROW][C]0.96[/C][C]7.37096032155734[/C][C]0.0376041404605404[/C][/ROW]
[ROW][C]0.97[/C][C]7.39054455477395[/C][C]0.036270578250047[/C][/ROW]
[ROW][C]0.98[/C][C]7.40895356665713[/C][C]0.0284051557466405[/C][/ROW]
[ROW][C]0.99[/C][C]7.4229848426227[/C][C]0.0167491005301524[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212882&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212882&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
0.016.331584982625040.00438805137920923
0.026.335853200636560.0104177561935232
0.036.342983260048550.0167506800808768
0.046.35272940161480.0238389333755069
0.056.364869986935810.0316147278502242
0.066.379154598753750.038967141444564
0.076.395105918641110.0445773164694689
0.086.411988416629310.0476246037732102
0.096.428958809820760.0480502706917432
0.16.445268343149190.0463929449113708
0.116.460405981905720.0434920060735944
0.126.474144068838430.0402275919239976
0.136.486502237566220.0372988805142057
0.146.497666058183420.0351335592953921
0.156.507895233263560.0338272746946046
0.166.517445698779280.0332223025299299
0.176.526518417733990.0329974508508343
0.186.535237927881540.0328504427645342
0.196.543656661784030.0325288287773857
0.26.55177682970080.031924032474426
0.216.559580064411770.0310721405421973
0.226.567055688137750.0301161187594829
0.236.574220823696060.0292748667018812
0.246.581128917293940.0287709057584679
0.256.587866729401970.0287610066596543
0.266.594542670259150.0293189669755441
0.276.601270930548890.0304143837822069
0.286.608155999819450.0319437169434908
0.296.615281100046540.0337497998640096
0.36.62270230516440.035690356632081
0.316.630448280669950.0376317588578128
0.326.638524175212190.0395087832238785
0.336.646917517892740.0412593547919999
0.346.655604045890010.0428695933792073
0.356.664552012895720.0443218508537888
0.366.673724398643320.0455833261301644
0.376.683079244454720.0466341288215498
0.386.692568867479840.0474236687100178
0.396.702138886028710.0479213481705147
0.46.711727874601410.04807149735564
0.416.721268183531580.0478483611420553
0.426.730688130551170.0472203594842629
0.436.739915481944060.046204415367349
0.446.7488819169110.044817276032158
0.456.757528005106750.0431177918627076
0.466.765808118689530.0411846131946618
0.476.77369466172780.0391125527866934
0.486.781181062202360.0370303725107622
0.496.788283155389780.0350627340793003
0.56.795038872306710.0333245333174601
0.516.801506461614350.0319359417464792
0.526.807761713083530.030969149267185
0.536.813894720861840.0305000865087325
0.546.820006589897030.0305620030883948
0.556.826206200791520.0312060829309244
0.566.832606835929740.032427310910222
0.576.839322289511640.0342384683396645
0.586.846462151156750.0365719808504171
0.596.854126281696530.0393751701617399
0.66.862398985406080.0425308542618562
0.616.871343832716140.0458947095085872
0.626.881000296658290.0493111854208298
0.636.891383205458020.0526483436906426
0.646.902485490192380.0557935164850125
0.656.914283970442620.0586786055754128
0.666.926747208555430.0612887297530943
0.676.939843998367270.0636600489932082
0.686.953550951854610.065856343055325
0.696.967857864763870.0679580403288832
0.76.982769910397930.0700325974002586
0.716.998306035325850.0721549772521501
0.727.014493121958770.0743405257517557
0.737.031355638764260.0765728155155234
0.747.048900880089610.0787709516594286
0.757.067100776237460.0807597082347734
0.767.085872693231720.0822746173976987
0.777.105063322939310.0829970582802708
0.787.124440996166430.082561525758388
0.797.143701705159650.0806711603969435
0.87.16249222036460.0771628369905597
0.817.18044995357540.0720711299929587
0.827.197254399506760.0656747761460732
0.837.212680371295230.0584672732618471
0.847.226640329139390.0510983768443745
0.857.239203258174760.0442627883689735
0.867.250581754092910.0385665380630227
0.877.261087417441870.0343787555709249
0.887.27106617929930.0316930140837729
0.897.280836752938940.0301527725235302
0.97.290662134984350.0292361213913597
0.917.300779657101850.0285880455290141
0.927.311492206150490.0282873850575664
0.937.323275849290410.0288965424921528
0.947.336793939432460.0311045653455944
0.957.352670140891520.0347064090359402
0.967.370960321557340.0376041404605404
0.977.390544554773950.036270578250047
0.987.408953566657130.0284051557466405
0.997.42298484262270.0167491005301524


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')