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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 27 Oct 2008 12:32:10 -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/27/t1225132367n8usa8se2vep35p.htm/, Retrieved Sun, 19 May 2024 15:37:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19380, Retrieved Sun, 19 May 2024 15:37:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126

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] [Q5] [2008-10-25 11:04:46] [c5a66f1c8528a963efc2b82a8519f117]
-   PD    [Harrell-Davis Quantiles] [Q5 IA2] [2008-10-27 18:32:10] [b05bea52879de0a398b42c6968cc24b2] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,989130
0,919087
0,925417
0,925612
1,066667
0,851109
1,030693
0,989031
0,913001
0,792723
0,978170
0,987513
0,909434
0,883608
0,827451
0,825215
1,023256
0,815418
1,026193
0,914742
0,807276
0,739130
0,989733
0,972165
0,853890
0,856865
0,775739
0,789474
0,931350
0,739711
0,885246
0,842435
0,818458
0,727554
0,923239
0,922680
0,883762
0,818270
0,771047
0,825853
0,924485
0,755165
0,874671
0,815956
0,799808
0,712598
0,832981
0,910323
0,869150
0,779183
0,750255
0,758560
0,920890
0,743992
0,816254
0,769594
0,784007
0,683284
0,850505
0,900695
0,868398

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19380&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19380&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19380&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.6903570456730290.0257493744499684
0.020.7006847317423320.0217346030056132
0.030.7112033188268520.0181410618508441
0.040.7202387049099340.0152703087765306
0.050.7274406690041450.0130172423375593
0.060.7330997744935980.0113755579765645
0.070.7376592472419650.0104103402499899
0.080.7415126970662560.0100957522260667
0.090.7449551319105780.0102702215487220
0.10.7481864347306870.0107190955489451
0.110.7513279184848940.0112601692866934
0.120.7544418054570520.0117751983475160
0.130.7575506194564240.0122044830482079
0.140.7606542719448010.0125300749255570
0.150.7637432651227610.0127634612693316
0.160.7668075000578380.0129374345358809
0.170.7698410550116390.0130892071791924
0.180.7728437391406040.0132541008208163
0.190.7758203405412770.0134567318909055
0.20.7787784538828180.0137007604846150
0.210.7817256914851440.0139762979717816
0.220.7846669731450210.0142551840020724
0.230.7876024448270820.0145005974978922
0.240.7905263922769470.0146745653915616
0.250.7934273078821950.0147425564363194
0.260.796289063766340.0146807941334899
0.270.799092967974930.0144809266293817
0.280.8018203546526990.0141515964821978
0.290.8044552958421980.0137164323999016
0.30.8069870255663380.0132140736675303
0.310.809411730922140.0126952958794286
0.320.8117334763786420.0122121967285402
0.330.8139641660483140.0118195706987519
0.340.8161225907569820.0115603378251342
0.350.8182327297176730.0114658648473863
0.360.8203215633255730.011547769309503
0.370.8224166950164930.0118011256622005
0.380.8245440760238280.0122013331197524
0.390.8267260842472860.0127163471981058
0.40.8289801388150370.0133051679305863
0.410.8313179483101950.0139271324307235
0.420.8337454053128210.0145470933366512
0.430.8362630631091820.0151326794054495
0.440.8388670698749230.0156627568743715
0.450.8415503965099750.0161250069965580
0.460.8443041790851620.01651576726479
0.470.8471190051567020.0168387352982935
0.480.8499860015756390.0171038900942261
0.490.8528976236630590.0173251117340383
0.50.8558480937514040.0175147419547072
0.510.8588334829640580.0176869216167291
0.520.8618514673027970.0178500481616752
0.530.8649008144463820.018010324973526
0.540.8679806716904060.0181673725348353
0.550.8710897317242920.0183147598428275
0.560.8742253561385730.0184442839537178
0.570.8773827402437750.0185415401937365
0.580.8805542075681410.0185859599917213
0.590.8837287253739380.0185544816229265
0.60.8868917283202830.0184271704220016
0.610.8900253205929130.0181813138497588
0.620.89310889489220.0177993650165274
0.630.8961201622346690.0172748442668101
0.640.8990365378401550.0166064764936188
0.650.9018367875545950.0158062854189068
0.660.9045028184021130.0148957957464484
0.670.9070215032150540.0139081226823985
0.680.9093864609644990.0128845284521005
0.690.9115997583287440.0118729433264577
0.70.9136735313565310.0109276154806699
0.710.9156315215790750.0101120571102900
0.720.9175104558008070.00949559866088198
0.730.9193610654452660.009160742631955
0.740.9212483575490240.00919724547633104
0.750.9232505647370450.00968426191457186
0.760.925456095143890.0106743416637419
0.770.9279578711036570.0121651313260664
0.780.9308447730378870.0140955388340418
0.790.9341905301329610.0163423069101245
0.80.9380412731174730.0187253930875162
0.810.9424039247387260.0210149160937535
0.820.9472383783544310.0229579942417110
0.830.9524566649296010.0243101516033534
0.840.9579317073838660.0248863975563017
0.850.9635165999534660.0246045375770331
0.860.9690726486836120.0235244886966495
0.870.9745010264161650.0218629405213732
0.880.9797696466784470.0199806863655498
0.890.9849251212912050.0183302277443722
0.90.9900813545603770.0173305612697951
0.910.9953834939423940.0171534022303298
0.921.000959561616920.0175489483531506
0.931.006889465190880.0179384707870007
0.941.013231785315260.0177542782175737
0.951.020129995164400.0168768876883741
0.961.027939441150550.0161209454822934
0.971.037167664171910.0174324933043996
0.981.047921134184050.0223198566928575
0.991.058853393295800.0295053743207599

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.690357045673029 & 0.0257493744499684 \tabularnewline
0.02 & 0.700684731742332 & 0.0217346030056132 \tabularnewline
0.03 & 0.711203318826852 & 0.0181410618508441 \tabularnewline
0.04 & 0.720238704909934 & 0.0152703087765306 \tabularnewline
0.05 & 0.727440669004145 & 0.0130172423375593 \tabularnewline
0.06 & 0.733099774493598 & 0.0113755579765645 \tabularnewline
0.07 & 0.737659247241965 & 0.0104103402499899 \tabularnewline
0.08 & 0.741512697066256 & 0.0100957522260667 \tabularnewline
0.09 & 0.744955131910578 & 0.0102702215487220 \tabularnewline
0.1 & 0.748186434730687 & 0.0107190955489451 \tabularnewline
0.11 & 0.751327918484894 & 0.0112601692866934 \tabularnewline
0.12 & 0.754441805457052 & 0.0117751983475160 \tabularnewline
0.13 & 0.757550619456424 & 0.0122044830482079 \tabularnewline
0.14 & 0.760654271944801 & 0.0125300749255570 \tabularnewline
0.15 & 0.763743265122761 & 0.0127634612693316 \tabularnewline
0.16 & 0.766807500057838 & 0.0129374345358809 \tabularnewline
0.17 & 0.769841055011639 & 0.0130892071791924 \tabularnewline
0.18 & 0.772843739140604 & 0.0132541008208163 \tabularnewline
0.19 & 0.775820340541277 & 0.0134567318909055 \tabularnewline
0.2 & 0.778778453882818 & 0.0137007604846150 \tabularnewline
0.21 & 0.781725691485144 & 0.0139762979717816 \tabularnewline
0.22 & 0.784666973145021 & 0.0142551840020724 \tabularnewline
0.23 & 0.787602444827082 & 0.0145005974978922 \tabularnewline
0.24 & 0.790526392276947 & 0.0146745653915616 \tabularnewline
0.25 & 0.793427307882195 & 0.0147425564363194 \tabularnewline
0.26 & 0.79628906376634 & 0.0146807941334899 \tabularnewline
0.27 & 0.79909296797493 & 0.0144809266293817 \tabularnewline
0.28 & 0.801820354652699 & 0.0141515964821978 \tabularnewline
0.29 & 0.804455295842198 & 0.0137164323999016 \tabularnewline
0.3 & 0.806987025566338 & 0.0132140736675303 \tabularnewline
0.31 & 0.80941173092214 & 0.0126952958794286 \tabularnewline
0.32 & 0.811733476378642 & 0.0122121967285402 \tabularnewline
0.33 & 0.813964166048314 & 0.0118195706987519 \tabularnewline
0.34 & 0.816122590756982 & 0.0115603378251342 \tabularnewline
0.35 & 0.818232729717673 & 0.0114658648473863 \tabularnewline
0.36 & 0.820321563325573 & 0.011547769309503 \tabularnewline
0.37 & 0.822416695016493 & 0.0118011256622005 \tabularnewline
0.38 & 0.824544076023828 & 0.0122013331197524 \tabularnewline
0.39 & 0.826726084247286 & 0.0127163471981058 \tabularnewline
0.4 & 0.828980138815037 & 0.0133051679305863 \tabularnewline
0.41 & 0.831317948310195 & 0.0139271324307235 \tabularnewline
0.42 & 0.833745405312821 & 0.0145470933366512 \tabularnewline
0.43 & 0.836263063109182 & 0.0151326794054495 \tabularnewline
0.44 & 0.838867069874923 & 0.0156627568743715 \tabularnewline
0.45 & 0.841550396509975 & 0.0161250069965580 \tabularnewline
0.46 & 0.844304179085162 & 0.01651576726479 \tabularnewline
0.47 & 0.847119005156702 & 0.0168387352982935 \tabularnewline
0.48 & 0.849986001575639 & 0.0171038900942261 \tabularnewline
0.49 & 0.852897623663059 & 0.0173251117340383 \tabularnewline
0.5 & 0.855848093751404 & 0.0175147419547072 \tabularnewline
0.51 & 0.858833482964058 & 0.0176869216167291 \tabularnewline
0.52 & 0.861851467302797 & 0.0178500481616752 \tabularnewline
0.53 & 0.864900814446382 & 0.018010324973526 \tabularnewline
0.54 & 0.867980671690406 & 0.0181673725348353 \tabularnewline
0.55 & 0.871089731724292 & 0.0183147598428275 \tabularnewline
0.56 & 0.874225356138573 & 0.0184442839537178 \tabularnewline
0.57 & 0.877382740243775 & 0.0185415401937365 \tabularnewline
0.58 & 0.880554207568141 & 0.0185859599917213 \tabularnewline
0.59 & 0.883728725373938 & 0.0185544816229265 \tabularnewline
0.6 & 0.886891728320283 & 0.0184271704220016 \tabularnewline
0.61 & 0.890025320592913 & 0.0181813138497588 \tabularnewline
0.62 & 0.8931088948922 & 0.0177993650165274 \tabularnewline
0.63 & 0.896120162234669 & 0.0172748442668101 \tabularnewline
0.64 & 0.899036537840155 & 0.0166064764936188 \tabularnewline
0.65 & 0.901836787554595 & 0.0158062854189068 \tabularnewline
0.66 & 0.904502818402113 & 0.0148957957464484 \tabularnewline
0.67 & 0.907021503215054 & 0.0139081226823985 \tabularnewline
0.68 & 0.909386460964499 & 0.0128845284521005 \tabularnewline
0.69 & 0.911599758328744 & 0.0118729433264577 \tabularnewline
0.7 & 0.913673531356531 & 0.0109276154806699 \tabularnewline
0.71 & 0.915631521579075 & 0.0101120571102900 \tabularnewline
0.72 & 0.917510455800807 & 0.00949559866088198 \tabularnewline
0.73 & 0.919361065445266 & 0.009160742631955 \tabularnewline
0.74 & 0.921248357549024 & 0.00919724547633104 \tabularnewline
0.75 & 0.923250564737045 & 0.00968426191457186 \tabularnewline
0.76 & 0.92545609514389 & 0.0106743416637419 \tabularnewline
0.77 & 0.927957871103657 & 0.0121651313260664 \tabularnewline
0.78 & 0.930844773037887 & 0.0140955388340418 \tabularnewline
0.79 & 0.934190530132961 & 0.0163423069101245 \tabularnewline
0.8 & 0.938041273117473 & 0.0187253930875162 \tabularnewline
0.81 & 0.942403924738726 & 0.0210149160937535 \tabularnewline
0.82 & 0.947238378354431 & 0.0229579942417110 \tabularnewline
0.83 & 0.952456664929601 & 0.0243101516033534 \tabularnewline
0.84 & 0.957931707383866 & 0.0248863975563017 \tabularnewline
0.85 & 0.963516599953466 & 0.0246045375770331 \tabularnewline
0.86 & 0.969072648683612 & 0.0235244886966495 \tabularnewline
0.87 & 0.974501026416165 & 0.0218629405213732 \tabularnewline
0.88 & 0.979769646678447 & 0.0199806863655498 \tabularnewline
0.89 & 0.984925121291205 & 0.0183302277443722 \tabularnewline
0.9 & 0.990081354560377 & 0.0173305612697951 \tabularnewline
0.91 & 0.995383493942394 & 0.0171534022303298 \tabularnewline
0.92 & 1.00095956161692 & 0.0175489483531506 \tabularnewline
0.93 & 1.00688946519088 & 0.0179384707870007 \tabularnewline
0.94 & 1.01323178531526 & 0.0177542782175737 \tabularnewline
0.95 & 1.02012999516440 & 0.0168768876883741 \tabularnewline
0.96 & 1.02793944115055 & 0.0161209454822934 \tabularnewline
0.97 & 1.03716766417191 & 0.0174324933043996 \tabularnewline
0.98 & 1.04792113418405 & 0.0223198566928575 \tabularnewline
0.99 & 1.05885339329580 & 0.0295053743207599 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19380&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]0.690357045673029[/C][C]0.0257493744499684[/C][/ROW]
[ROW][C]0.02[/C][C]0.700684731742332[/C][C]0.0217346030056132[/C][/ROW]
[ROW][C]0.03[/C][C]0.711203318826852[/C][C]0.0181410618508441[/C][/ROW]
[ROW][C]0.04[/C][C]0.720238704909934[/C][C]0.0152703087765306[/C][/ROW]
[ROW][C]0.05[/C][C]0.727440669004145[/C][C]0.0130172423375593[/C][/ROW]
[ROW][C]0.06[/C][C]0.733099774493598[/C][C]0.0113755579765645[/C][/ROW]
[ROW][C]0.07[/C][C]0.737659247241965[/C][C]0.0104103402499899[/C][/ROW]
[ROW][C]0.08[/C][C]0.741512697066256[/C][C]0.0100957522260667[/C][/ROW]
[ROW][C]0.09[/C][C]0.744955131910578[/C][C]0.0102702215487220[/C][/ROW]
[ROW][C]0.1[/C][C]0.748186434730687[/C][C]0.0107190955489451[/C][/ROW]
[ROW][C]0.11[/C][C]0.751327918484894[/C][C]0.0112601692866934[/C][/ROW]
[ROW][C]0.12[/C][C]0.754441805457052[/C][C]0.0117751983475160[/C][/ROW]
[ROW][C]0.13[/C][C]0.757550619456424[/C][C]0.0122044830482079[/C][/ROW]
[ROW][C]0.14[/C][C]0.760654271944801[/C][C]0.0125300749255570[/C][/ROW]
[ROW][C]0.15[/C][C]0.763743265122761[/C][C]0.0127634612693316[/C][/ROW]
[ROW][C]0.16[/C][C]0.766807500057838[/C][C]0.0129374345358809[/C][/ROW]
[ROW][C]0.17[/C][C]0.769841055011639[/C][C]0.0130892071791924[/C][/ROW]
[ROW][C]0.18[/C][C]0.772843739140604[/C][C]0.0132541008208163[/C][/ROW]
[ROW][C]0.19[/C][C]0.775820340541277[/C][C]0.0134567318909055[/C][/ROW]
[ROW][C]0.2[/C][C]0.778778453882818[/C][C]0.0137007604846150[/C][/ROW]
[ROW][C]0.21[/C][C]0.781725691485144[/C][C]0.0139762979717816[/C][/ROW]
[ROW][C]0.22[/C][C]0.784666973145021[/C][C]0.0142551840020724[/C][/ROW]
[ROW][C]0.23[/C][C]0.787602444827082[/C][C]0.0145005974978922[/C][/ROW]
[ROW][C]0.24[/C][C]0.790526392276947[/C][C]0.0146745653915616[/C][/ROW]
[ROW][C]0.25[/C][C]0.793427307882195[/C][C]0.0147425564363194[/C][/ROW]
[ROW][C]0.26[/C][C]0.79628906376634[/C][C]0.0146807941334899[/C][/ROW]
[ROW][C]0.27[/C][C]0.79909296797493[/C][C]0.0144809266293817[/C][/ROW]
[ROW][C]0.28[/C][C]0.801820354652699[/C][C]0.0141515964821978[/C][/ROW]
[ROW][C]0.29[/C][C]0.804455295842198[/C][C]0.0137164323999016[/C][/ROW]
[ROW][C]0.3[/C][C]0.806987025566338[/C][C]0.0132140736675303[/C][/ROW]
[ROW][C]0.31[/C][C]0.80941173092214[/C][C]0.0126952958794286[/C][/ROW]
[ROW][C]0.32[/C][C]0.811733476378642[/C][C]0.0122121967285402[/C][/ROW]
[ROW][C]0.33[/C][C]0.813964166048314[/C][C]0.0118195706987519[/C][/ROW]
[ROW][C]0.34[/C][C]0.816122590756982[/C][C]0.0115603378251342[/C][/ROW]
[ROW][C]0.35[/C][C]0.818232729717673[/C][C]0.0114658648473863[/C][/ROW]
[ROW][C]0.36[/C][C]0.820321563325573[/C][C]0.011547769309503[/C][/ROW]
[ROW][C]0.37[/C][C]0.822416695016493[/C][C]0.0118011256622005[/C][/ROW]
[ROW][C]0.38[/C][C]0.824544076023828[/C][C]0.0122013331197524[/C][/ROW]
[ROW][C]0.39[/C][C]0.826726084247286[/C][C]0.0127163471981058[/C][/ROW]
[ROW][C]0.4[/C][C]0.828980138815037[/C][C]0.0133051679305863[/C][/ROW]
[ROW][C]0.41[/C][C]0.831317948310195[/C][C]0.0139271324307235[/C][/ROW]
[ROW][C]0.42[/C][C]0.833745405312821[/C][C]0.0145470933366512[/C][/ROW]
[ROW][C]0.43[/C][C]0.836263063109182[/C][C]0.0151326794054495[/C][/ROW]
[ROW][C]0.44[/C][C]0.838867069874923[/C][C]0.0156627568743715[/C][/ROW]
[ROW][C]0.45[/C][C]0.841550396509975[/C][C]0.0161250069965580[/C][/ROW]
[ROW][C]0.46[/C][C]0.844304179085162[/C][C]0.01651576726479[/C][/ROW]
[ROW][C]0.47[/C][C]0.847119005156702[/C][C]0.0168387352982935[/C][/ROW]
[ROW][C]0.48[/C][C]0.849986001575639[/C][C]0.0171038900942261[/C][/ROW]
[ROW][C]0.49[/C][C]0.852897623663059[/C][C]0.0173251117340383[/C][/ROW]
[ROW][C]0.5[/C][C]0.855848093751404[/C][C]0.0175147419547072[/C][/ROW]
[ROW][C]0.51[/C][C]0.858833482964058[/C][C]0.0176869216167291[/C][/ROW]
[ROW][C]0.52[/C][C]0.861851467302797[/C][C]0.0178500481616752[/C][/ROW]
[ROW][C]0.53[/C][C]0.864900814446382[/C][C]0.018010324973526[/C][/ROW]
[ROW][C]0.54[/C][C]0.867980671690406[/C][C]0.0181673725348353[/C][/ROW]
[ROW][C]0.55[/C][C]0.871089731724292[/C][C]0.0183147598428275[/C][/ROW]
[ROW][C]0.56[/C][C]0.874225356138573[/C][C]0.0184442839537178[/C][/ROW]
[ROW][C]0.57[/C][C]0.877382740243775[/C][C]0.0185415401937365[/C][/ROW]
[ROW][C]0.58[/C][C]0.880554207568141[/C][C]0.0185859599917213[/C][/ROW]
[ROW][C]0.59[/C][C]0.883728725373938[/C][C]0.0185544816229265[/C][/ROW]
[ROW][C]0.6[/C][C]0.886891728320283[/C][C]0.0184271704220016[/C][/ROW]
[ROW][C]0.61[/C][C]0.890025320592913[/C][C]0.0181813138497588[/C][/ROW]
[ROW][C]0.62[/C][C]0.8931088948922[/C][C]0.0177993650165274[/C][/ROW]
[ROW][C]0.63[/C][C]0.896120162234669[/C][C]0.0172748442668101[/C][/ROW]
[ROW][C]0.64[/C][C]0.899036537840155[/C][C]0.0166064764936188[/C][/ROW]
[ROW][C]0.65[/C][C]0.901836787554595[/C][C]0.0158062854189068[/C][/ROW]
[ROW][C]0.66[/C][C]0.904502818402113[/C][C]0.0148957957464484[/C][/ROW]
[ROW][C]0.67[/C][C]0.907021503215054[/C][C]0.0139081226823985[/C][/ROW]
[ROW][C]0.68[/C][C]0.909386460964499[/C][C]0.0128845284521005[/C][/ROW]
[ROW][C]0.69[/C][C]0.911599758328744[/C][C]0.0118729433264577[/C][/ROW]
[ROW][C]0.7[/C][C]0.913673531356531[/C][C]0.0109276154806699[/C][/ROW]
[ROW][C]0.71[/C][C]0.915631521579075[/C][C]0.0101120571102900[/C][/ROW]
[ROW][C]0.72[/C][C]0.917510455800807[/C][C]0.00949559866088198[/C][/ROW]
[ROW][C]0.73[/C][C]0.919361065445266[/C][C]0.009160742631955[/C][/ROW]
[ROW][C]0.74[/C][C]0.921248357549024[/C][C]0.00919724547633104[/C][/ROW]
[ROW][C]0.75[/C][C]0.923250564737045[/C][C]0.00968426191457186[/C][/ROW]
[ROW][C]0.76[/C][C]0.92545609514389[/C][C]0.0106743416637419[/C][/ROW]
[ROW][C]0.77[/C][C]0.927957871103657[/C][C]0.0121651313260664[/C][/ROW]
[ROW][C]0.78[/C][C]0.930844773037887[/C][C]0.0140955388340418[/C][/ROW]
[ROW][C]0.79[/C][C]0.934190530132961[/C][C]0.0163423069101245[/C][/ROW]
[ROW][C]0.8[/C][C]0.938041273117473[/C][C]0.0187253930875162[/C][/ROW]
[ROW][C]0.81[/C][C]0.942403924738726[/C][C]0.0210149160937535[/C][/ROW]
[ROW][C]0.82[/C][C]0.947238378354431[/C][C]0.0229579942417110[/C][/ROW]
[ROW][C]0.83[/C][C]0.952456664929601[/C][C]0.0243101516033534[/C][/ROW]
[ROW][C]0.84[/C][C]0.957931707383866[/C][C]0.0248863975563017[/C][/ROW]
[ROW][C]0.85[/C][C]0.963516599953466[/C][C]0.0246045375770331[/C][/ROW]
[ROW][C]0.86[/C][C]0.969072648683612[/C][C]0.0235244886966495[/C][/ROW]
[ROW][C]0.87[/C][C]0.974501026416165[/C][C]0.0218629405213732[/C][/ROW]
[ROW][C]0.88[/C][C]0.979769646678447[/C][C]0.0199806863655498[/C][/ROW]
[ROW][C]0.89[/C][C]0.984925121291205[/C][C]0.0183302277443722[/C][/ROW]
[ROW][C]0.9[/C][C]0.990081354560377[/C][C]0.0173305612697951[/C][/ROW]
[ROW][C]0.91[/C][C]0.995383493942394[/C][C]0.0171534022303298[/C][/ROW]
[ROW][C]0.92[/C][C]1.00095956161692[/C][C]0.0175489483531506[/C][/ROW]
[ROW][C]0.93[/C][C]1.00688946519088[/C][C]0.0179384707870007[/C][/ROW]
[ROW][C]0.94[/C][C]1.01323178531526[/C][C]0.0177542782175737[/C][/ROW]
[ROW][C]0.95[/C][C]1.02012999516440[/C][C]0.0168768876883741[/C][/ROW]
[ROW][C]0.96[/C][C]1.02793944115055[/C][C]0.0161209454822934[/C][/ROW]
[ROW][C]0.97[/C][C]1.03716766417191[/C][C]0.0174324933043996[/C][/ROW]
[ROW][C]0.98[/C][C]1.04792113418405[/C][C]0.0223198566928575[/C][/ROW]
[ROW][C]0.99[/C][C]1.05885339329580[/C][C]0.0295053743207599[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19380&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19380&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
0.010.6903570456730290.0257493744499684
0.020.7006847317423320.0217346030056132
0.030.7112033188268520.0181410618508441
0.040.7202387049099340.0152703087765306
0.050.7274406690041450.0130172423375593
0.060.7330997744935980.0113755579765645
0.070.7376592472419650.0104103402499899
0.080.7415126970662560.0100957522260667
0.090.7449551319105780.0102702215487220
0.10.7481864347306870.0107190955489451
0.110.7513279184848940.0112601692866934
0.120.7544418054570520.0117751983475160
0.130.7575506194564240.0122044830482079
0.140.7606542719448010.0125300749255570
0.150.7637432651227610.0127634612693316
0.160.7668075000578380.0129374345358809
0.170.7698410550116390.0130892071791924
0.180.7728437391406040.0132541008208163
0.190.7758203405412770.0134567318909055
0.20.7787784538828180.0137007604846150
0.210.7817256914851440.0139762979717816
0.220.7846669731450210.0142551840020724
0.230.7876024448270820.0145005974978922
0.240.7905263922769470.0146745653915616
0.250.7934273078821950.0147425564363194
0.260.796289063766340.0146807941334899
0.270.799092967974930.0144809266293817
0.280.8018203546526990.0141515964821978
0.290.8044552958421980.0137164323999016
0.30.8069870255663380.0132140736675303
0.310.809411730922140.0126952958794286
0.320.8117334763786420.0122121967285402
0.330.8139641660483140.0118195706987519
0.340.8161225907569820.0115603378251342
0.350.8182327297176730.0114658648473863
0.360.8203215633255730.011547769309503
0.370.8224166950164930.0118011256622005
0.380.8245440760238280.0122013331197524
0.390.8267260842472860.0127163471981058
0.40.8289801388150370.0133051679305863
0.410.8313179483101950.0139271324307235
0.420.8337454053128210.0145470933366512
0.430.8362630631091820.0151326794054495
0.440.8388670698749230.0156627568743715
0.450.8415503965099750.0161250069965580
0.460.8443041790851620.01651576726479
0.470.8471190051567020.0168387352982935
0.480.8499860015756390.0171038900942261
0.490.8528976236630590.0173251117340383
0.50.8558480937514040.0175147419547072
0.510.8588334829640580.0176869216167291
0.520.8618514673027970.0178500481616752
0.530.8649008144463820.018010324973526
0.540.8679806716904060.0181673725348353
0.550.8710897317242920.0183147598428275
0.560.8742253561385730.0184442839537178
0.570.8773827402437750.0185415401937365
0.580.8805542075681410.0185859599917213
0.590.8837287253739380.0185544816229265
0.60.8868917283202830.0184271704220016
0.610.8900253205929130.0181813138497588
0.620.89310889489220.0177993650165274
0.630.8961201622346690.0172748442668101
0.640.8990365378401550.0166064764936188
0.650.9018367875545950.0158062854189068
0.660.9045028184021130.0148957957464484
0.670.9070215032150540.0139081226823985
0.680.9093864609644990.0128845284521005
0.690.9115997583287440.0118729433264577
0.70.9136735313565310.0109276154806699
0.710.9156315215790750.0101120571102900
0.720.9175104558008070.00949559866088198
0.730.9193610654452660.009160742631955
0.740.9212483575490240.00919724547633104
0.750.9232505647370450.00968426191457186
0.760.925456095143890.0106743416637419
0.770.9279578711036570.0121651313260664
0.780.9308447730378870.0140955388340418
0.790.9341905301329610.0163423069101245
0.80.9380412731174730.0187253930875162
0.810.9424039247387260.0210149160937535
0.820.9472383783544310.0229579942417110
0.830.9524566649296010.0243101516033534
0.840.9579317073838660.0248863975563017
0.850.9635165999534660.0246045375770331
0.860.9690726486836120.0235244886966495
0.870.9745010264161650.0218629405213732
0.880.9797696466784470.0199806863655498
0.890.9849251212912050.0183302277443722
0.90.9900813545603770.0173305612697951
0.910.9953834939423940.0171534022303298
0.921.000959561616920.0175489483531506
0.931.006889465190880.0179384707870007
0.941.013231785315260.0177542782175737
0.951.020129995164400.0168768876883741
0.961.027939441150550.0161209454822934
0.971.037167664171910.0174324933043996
0.981.047921134184050.0223198566928575
0.991.058853393295800.0295053743207599


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')