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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 computationTue, 29 Dec 2015 14:40:37 +0000
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/Dec/29/t1451400070x8iru6ka0trv3t3.htm/, Retrieved Thu, 16 May 2024 12:08:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=287166, Retrieved Thu, 16 May 2024 12:08:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact123

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] [] [2015-12-29 14:40:37] [dce38ba7cc70e884f4588278752279c3] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
516922
507561
492622
490243
469357
477580
528379
533590
517945
506174
501866
516141
528222
532638
536322
536535
523597
536214
586570
596594
580523
564478
557560
575093
580112
574761
563250
551531
537034
544686
600991
604378
586111
563668
548604
551174
555654
547970
540324
530577
520579
518654
572273
581302
563280
547612
538712
540735
561649
558685
545732
536352
527676
530455
581744
598714
583775
571477
563278
564872
577537
572399
565430
560619
551227
553397
610893
621668
613148
598778
590623
595902
612186
603453
593362
581940
568075
567467
619423
627325
617144
602280
590816
589812

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=287166&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]2 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=287166&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=287166&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 time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01473322.8116804079027.95701135468
0.02479631.99708707310059.8065863736
0.03486211.24953287710182.9801682946
0.04492122.1038253549843.572470768
0.05497227.2263873929475.6493469491
0.06501640.0595615379052.83391073701
0.07505478.3945387628505.41206519298
0.08508819.9662366437860.33805670044
0.09511723.2667079677189.19555618034
0.1514248.4331486916576.15208193814
0.11516463.123831936093.08646785405
0.12518437.2908271925771.86303751185
0.13520233.7633902555586.28124926042
0.14521900.2950921535470.72957046712
0.15523466.4825152465359.96420700068
0.16524946.0966921255215.25502800029
0.17526342.881027545027.54583919702
0.18527656.8913854394813.04199748265
0.19528889.1122692184595.107836895
0.2530043.5564761784390.93909068836
0.21531127.353117164213.75302305064
0.22532149.9010079134068.85290849034
0.23533122.0200464693958.7628395332
0.24534055.515248023890.29615255058
0.25534963.0608298423872.76153458562
0.26535858.0516400263916.23795008098
0.27536754.0986230914022.54134528272
0.28537664.0653653834188.39005510137
0.29538598.8039311214399.46032991294
0.3539565.9246574634632.88138979034
0.31540568.9656060294865.97836089599
0.32541607.2206262765076.09290128726
0.33542676.2954225735247.46601220484
0.34543769.2605855575370.07715237418
0.35544878.1213746645448.13526079469
0.36545995.2621254745487.07451363664
0.37547114.5540919835499.9536218327
0.38548231.9196963675499.86562559004
0.39549345.2890952215498.70737106622
0.4550454.0287485665502.5842454074
0.41551558.034166355508.99646951236
0.42552656.739622885511.850461945
0.43553748.2993668545499.77898670871
0.44554829.1432779565460.79855681
0.45555894.020128765385.23673495597
0.46556936.5341754855265.89350680769
0.47557950.077516735105.52015929499
0.48558928.9807097824911.49182793093
0.49559869.6611203844697.69057116376
0.5560771.5485844134484.16810783579
0.51561637.609369264292.36399882189
0.52562474.3630238774142.61850172027
0.53563291.3778687514054.28967194001
0.54564100.3220998524034.47051376322
0.55564913.7215631464086.1942557906
0.56565743.6185749864200.76783167606
0.57566600.3315273054362.0996292593
0.58567491.483458134552.09240660897
0.59568421.4086206964751.55872746077
0.6569390.9749069554940.08934442968
0.61570397.7944353895102.57410545053
0.62571436.7491890115227.78455327618
0.63572500.7398372795308.18350528935
0.64573581.5701171155340.70631090629
0.65574670.8941226065327.71291346628
0.66575761.1643227665273.94335727145
0.67576846.5135637215190.42259634135
0.68577923.4852723385088.89641744678
0.69578991.5057252794986.65495274643
0.7580052.9911808194899.8191800403
0.71581113.0184013624841.19534712338
0.72582178.5627462824820.30806748722
0.73583257.4063827884836.72004400435
0.74584356.9067199444885.65617047103
0.75585482.856077884953.51839476887
0.76586638.6380276025025.55549103697
0.77587824.8030274785087.09492515688
0.78589039.0834096975125.36274718456
0.79590276.7940265045132.01654696828
0.8591531.5534252865100.63970607276
0.81592796.3081773025031.0239143506
0.82594064.7063007614925.57811393231
0.83595332.876652644794.10523661778
0.84596601.5647969244654.60763948284
0.85597878.3183194184533.33784879749
0.86599179.0349227724462.88834593199
0.87600527.8261470784475.17640612656
0.88601954.1105147734586.55503401173
0.89603486.5406741154783.00667776517
0.9605144.9889627715011.69052604827
0.91606933.801044165190.93567823066
0.92608840.2936739255245.0977879204
0.93610840.4388817645142.99683466214
0.94612909.891170994908.54897789423
0.95615038.456141964588.0534831687
0.96617253.7208015164216.91896980457
0.97619654.901990663887.24412507727
0.98622377.1797544463920.11149555866
0.99625263.2957180224666.25152804817

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 473322.811680407 & 9027.95701135468 \tabularnewline
0.02 & 479631.997087073 & 10059.8065863736 \tabularnewline
0.03 & 486211.249532877 & 10182.9801682946 \tabularnewline
0.04 & 492122.103825354 & 9843.572470768 \tabularnewline
0.05 & 497227.226387392 & 9475.6493469491 \tabularnewline
0.06 & 501640.059561537 & 9052.83391073701 \tabularnewline
0.07 & 505478.394538762 & 8505.41206519298 \tabularnewline
0.08 & 508819.966236643 & 7860.33805670044 \tabularnewline
0.09 & 511723.266707967 & 7189.19555618034 \tabularnewline
0.1 & 514248.433148691 & 6576.15208193814 \tabularnewline
0.11 & 516463.12383193 & 6093.08646785405 \tabularnewline
0.12 & 518437.290827192 & 5771.86303751185 \tabularnewline
0.13 & 520233.763390255 & 5586.28124926042 \tabularnewline
0.14 & 521900.295092153 & 5470.72957046712 \tabularnewline
0.15 & 523466.482515246 & 5359.96420700068 \tabularnewline
0.16 & 524946.096692125 & 5215.25502800029 \tabularnewline
0.17 & 526342.88102754 & 5027.54583919702 \tabularnewline
0.18 & 527656.891385439 & 4813.04199748265 \tabularnewline
0.19 & 528889.112269218 & 4595.107836895 \tabularnewline
0.2 & 530043.556476178 & 4390.93909068836 \tabularnewline
0.21 & 531127.35311716 & 4213.75302305064 \tabularnewline
0.22 & 532149.901007913 & 4068.85290849034 \tabularnewline
0.23 & 533122.020046469 & 3958.7628395332 \tabularnewline
0.24 & 534055.51524802 & 3890.29615255058 \tabularnewline
0.25 & 534963.060829842 & 3872.76153458562 \tabularnewline
0.26 & 535858.051640026 & 3916.23795008098 \tabularnewline
0.27 & 536754.098623091 & 4022.54134528272 \tabularnewline
0.28 & 537664.065365383 & 4188.39005510137 \tabularnewline
0.29 & 538598.803931121 & 4399.46032991294 \tabularnewline
0.3 & 539565.924657463 & 4632.88138979034 \tabularnewline
0.31 & 540568.965606029 & 4865.97836089599 \tabularnewline
0.32 & 541607.220626276 & 5076.09290128726 \tabularnewline
0.33 & 542676.295422573 & 5247.46601220484 \tabularnewline
0.34 & 543769.260585557 & 5370.07715237418 \tabularnewline
0.35 & 544878.121374664 & 5448.13526079469 \tabularnewline
0.36 & 545995.262125474 & 5487.07451363664 \tabularnewline
0.37 & 547114.554091983 & 5499.9536218327 \tabularnewline
0.38 & 548231.919696367 & 5499.86562559004 \tabularnewline
0.39 & 549345.289095221 & 5498.70737106622 \tabularnewline
0.4 & 550454.028748566 & 5502.5842454074 \tabularnewline
0.41 & 551558.03416635 & 5508.99646951236 \tabularnewline
0.42 & 552656.73962288 & 5511.850461945 \tabularnewline
0.43 & 553748.299366854 & 5499.77898670871 \tabularnewline
0.44 & 554829.143277956 & 5460.79855681 \tabularnewline
0.45 & 555894.02012876 & 5385.23673495597 \tabularnewline
0.46 & 556936.534175485 & 5265.89350680769 \tabularnewline
0.47 & 557950.07751673 & 5105.52015929499 \tabularnewline
0.48 & 558928.980709782 & 4911.49182793093 \tabularnewline
0.49 & 559869.661120384 & 4697.69057116376 \tabularnewline
0.5 & 560771.548584413 & 4484.16810783579 \tabularnewline
0.51 & 561637.60936926 & 4292.36399882189 \tabularnewline
0.52 & 562474.363023877 & 4142.61850172027 \tabularnewline
0.53 & 563291.377868751 & 4054.28967194001 \tabularnewline
0.54 & 564100.322099852 & 4034.47051376322 \tabularnewline
0.55 & 564913.721563146 & 4086.1942557906 \tabularnewline
0.56 & 565743.618574986 & 4200.76783167606 \tabularnewline
0.57 & 566600.331527305 & 4362.0996292593 \tabularnewline
0.58 & 567491.48345813 & 4552.09240660897 \tabularnewline
0.59 & 568421.408620696 & 4751.55872746077 \tabularnewline
0.6 & 569390.974906955 & 4940.08934442968 \tabularnewline
0.61 & 570397.794435389 & 5102.57410545053 \tabularnewline
0.62 & 571436.749189011 & 5227.78455327618 \tabularnewline
0.63 & 572500.739837279 & 5308.18350528935 \tabularnewline
0.64 & 573581.570117115 & 5340.70631090629 \tabularnewline
0.65 & 574670.894122606 & 5327.71291346628 \tabularnewline
0.66 & 575761.164322766 & 5273.94335727145 \tabularnewline
0.67 & 576846.513563721 & 5190.42259634135 \tabularnewline
0.68 & 577923.485272338 & 5088.89641744678 \tabularnewline
0.69 & 578991.505725279 & 4986.65495274643 \tabularnewline
0.7 & 580052.991180819 & 4899.8191800403 \tabularnewline
0.71 & 581113.018401362 & 4841.19534712338 \tabularnewline
0.72 & 582178.562746282 & 4820.30806748722 \tabularnewline
0.73 & 583257.406382788 & 4836.72004400435 \tabularnewline
0.74 & 584356.906719944 & 4885.65617047103 \tabularnewline
0.75 & 585482.85607788 & 4953.51839476887 \tabularnewline
0.76 & 586638.638027602 & 5025.55549103697 \tabularnewline
0.77 & 587824.803027478 & 5087.09492515688 \tabularnewline
0.78 & 589039.083409697 & 5125.36274718456 \tabularnewline
0.79 & 590276.794026504 & 5132.01654696828 \tabularnewline
0.8 & 591531.553425286 & 5100.63970607276 \tabularnewline
0.81 & 592796.308177302 & 5031.0239143506 \tabularnewline
0.82 & 594064.706300761 & 4925.57811393231 \tabularnewline
0.83 & 595332.87665264 & 4794.10523661778 \tabularnewline
0.84 & 596601.564796924 & 4654.60763948284 \tabularnewline
0.85 & 597878.318319418 & 4533.33784879749 \tabularnewline
0.86 & 599179.034922772 & 4462.88834593199 \tabularnewline
0.87 & 600527.826147078 & 4475.17640612656 \tabularnewline
0.88 & 601954.110514773 & 4586.55503401173 \tabularnewline
0.89 & 603486.540674115 & 4783.00667776517 \tabularnewline
0.9 & 605144.988962771 & 5011.69052604827 \tabularnewline
0.91 & 606933.80104416 & 5190.93567823066 \tabularnewline
0.92 & 608840.293673925 & 5245.0977879204 \tabularnewline
0.93 & 610840.438881764 & 5142.99683466214 \tabularnewline
0.94 & 612909.89117099 & 4908.54897789423 \tabularnewline
0.95 & 615038.45614196 & 4588.0534831687 \tabularnewline
0.96 & 617253.720801516 & 4216.91896980457 \tabularnewline
0.97 & 619654.90199066 & 3887.24412507727 \tabularnewline
0.98 & 622377.179754446 & 3920.11149555866 \tabularnewline
0.99 & 625263.295718022 & 4666.25152804817 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=287166&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]473322.811680407[/C][C]9027.95701135468[/C][/ROW]
[ROW][C]0.02[/C][C]479631.997087073[/C][C]10059.8065863736[/C][/ROW]
[ROW][C]0.03[/C][C]486211.249532877[/C][C]10182.9801682946[/C][/ROW]
[ROW][C]0.04[/C][C]492122.103825354[/C][C]9843.572470768[/C][/ROW]
[ROW][C]0.05[/C][C]497227.226387392[/C][C]9475.6493469491[/C][/ROW]
[ROW][C]0.06[/C][C]501640.059561537[/C][C]9052.83391073701[/C][/ROW]
[ROW][C]0.07[/C][C]505478.394538762[/C][C]8505.41206519298[/C][/ROW]
[ROW][C]0.08[/C][C]508819.966236643[/C][C]7860.33805670044[/C][/ROW]
[ROW][C]0.09[/C][C]511723.266707967[/C][C]7189.19555618034[/C][/ROW]
[ROW][C]0.1[/C][C]514248.433148691[/C][C]6576.15208193814[/C][/ROW]
[ROW][C]0.11[/C][C]516463.12383193[/C][C]6093.08646785405[/C][/ROW]
[ROW][C]0.12[/C][C]518437.290827192[/C][C]5771.86303751185[/C][/ROW]
[ROW][C]0.13[/C][C]520233.763390255[/C][C]5586.28124926042[/C][/ROW]
[ROW][C]0.14[/C][C]521900.295092153[/C][C]5470.72957046712[/C][/ROW]
[ROW][C]0.15[/C][C]523466.482515246[/C][C]5359.96420700068[/C][/ROW]
[ROW][C]0.16[/C][C]524946.096692125[/C][C]5215.25502800029[/C][/ROW]
[ROW][C]0.17[/C][C]526342.88102754[/C][C]5027.54583919702[/C][/ROW]
[ROW][C]0.18[/C][C]527656.891385439[/C][C]4813.04199748265[/C][/ROW]
[ROW][C]0.19[/C][C]528889.112269218[/C][C]4595.107836895[/C][/ROW]
[ROW][C]0.2[/C][C]530043.556476178[/C][C]4390.93909068836[/C][/ROW]
[ROW][C]0.21[/C][C]531127.35311716[/C][C]4213.75302305064[/C][/ROW]
[ROW][C]0.22[/C][C]532149.901007913[/C][C]4068.85290849034[/C][/ROW]
[ROW][C]0.23[/C][C]533122.020046469[/C][C]3958.7628395332[/C][/ROW]
[ROW][C]0.24[/C][C]534055.51524802[/C][C]3890.29615255058[/C][/ROW]
[ROW][C]0.25[/C][C]534963.060829842[/C][C]3872.76153458562[/C][/ROW]
[ROW][C]0.26[/C][C]535858.051640026[/C][C]3916.23795008098[/C][/ROW]
[ROW][C]0.27[/C][C]536754.098623091[/C][C]4022.54134528272[/C][/ROW]
[ROW][C]0.28[/C][C]537664.065365383[/C][C]4188.39005510137[/C][/ROW]
[ROW][C]0.29[/C][C]538598.803931121[/C][C]4399.46032991294[/C][/ROW]
[ROW][C]0.3[/C][C]539565.924657463[/C][C]4632.88138979034[/C][/ROW]
[ROW][C]0.31[/C][C]540568.965606029[/C][C]4865.97836089599[/C][/ROW]
[ROW][C]0.32[/C][C]541607.220626276[/C][C]5076.09290128726[/C][/ROW]
[ROW][C]0.33[/C][C]542676.295422573[/C][C]5247.46601220484[/C][/ROW]
[ROW][C]0.34[/C][C]543769.260585557[/C][C]5370.07715237418[/C][/ROW]
[ROW][C]0.35[/C][C]544878.121374664[/C][C]5448.13526079469[/C][/ROW]
[ROW][C]0.36[/C][C]545995.262125474[/C][C]5487.07451363664[/C][/ROW]
[ROW][C]0.37[/C][C]547114.554091983[/C][C]5499.9536218327[/C][/ROW]
[ROW][C]0.38[/C][C]548231.919696367[/C][C]5499.86562559004[/C][/ROW]
[ROW][C]0.39[/C][C]549345.289095221[/C][C]5498.70737106622[/C][/ROW]
[ROW][C]0.4[/C][C]550454.028748566[/C][C]5502.5842454074[/C][/ROW]
[ROW][C]0.41[/C][C]551558.03416635[/C][C]5508.99646951236[/C][/ROW]
[ROW][C]0.42[/C][C]552656.73962288[/C][C]5511.850461945[/C][/ROW]
[ROW][C]0.43[/C][C]553748.299366854[/C][C]5499.77898670871[/C][/ROW]
[ROW][C]0.44[/C][C]554829.143277956[/C][C]5460.79855681[/C][/ROW]
[ROW][C]0.45[/C][C]555894.02012876[/C][C]5385.23673495597[/C][/ROW]
[ROW][C]0.46[/C][C]556936.534175485[/C][C]5265.89350680769[/C][/ROW]
[ROW][C]0.47[/C][C]557950.07751673[/C][C]5105.52015929499[/C][/ROW]
[ROW][C]0.48[/C][C]558928.980709782[/C][C]4911.49182793093[/C][/ROW]
[ROW][C]0.49[/C][C]559869.661120384[/C][C]4697.69057116376[/C][/ROW]
[ROW][C]0.5[/C][C]560771.548584413[/C][C]4484.16810783579[/C][/ROW]
[ROW][C]0.51[/C][C]561637.60936926[/C][C]4292.36399882189[/C][/ROW]
[ROW][C]0.52[/C][C]562474.363023877[/C][C]4142.61850172027[/C][/ROW]
[ROW][C]0.53[/C][C]563291.377868751[/C][C]4054.28967194001[/C][/ROW]
[ROW][C]0.54[/C][C]564100.322099852[/C][C]4034.47051376322[/C][/ROW]
[ROW][C]0.55[/C][C]564913.721563146[/C][C]4086.1942557906[/C][/ROW]
[ROW][C]0.56[/C][C]565743.618574986[/C][C]4200.76783167606[/C][/ROW]
[ROW][C]0.57[/C][C]566600.331527305[/C][C]4362.0996292593[/C][/ROW]
[ROW][C]0.58[/C][C]567491.48345813[/C][C]4552.09240660897[/C][/ROW]
[ROW][C]0.59[/C][C]568421.408620696[/C][C]4751.55872746077[/C][/ROW]
[ROW][C]0.6[/C][C]569390.974906955[/C][C]4940.08934442968[/C][/ROW]
[ROW][C]0.61[/C][C]570397.794435389[/C][C]5102.57410545053[/C][/ROW]
[ROW][C]0.62[/C][C]571436.749189011[/C][C]5227.78455327618[/C][/ROW]
[ROW][C]0.63[/C][C]572500.739837279[/C][C]5308.18350528935[/C][/ROW]
[ROW][C]0.64[/C][C]573581.570117115[/C][C]5340.70631090629[/C][/ROW]
[ROW][C]0.65[/C][C]574670.894122606[/C][C]5327.71291346628[/C][/ROW]
[ROW][C]0.66[/C][C]575761.164322766[/C][C]5273.94335727145[/C][/ROW]
[ROW][C]0.67[/C][C]576846.513563721[/C][C]5190.42259634135[/C][/ROW]
[ROW][C]0.68[/C][C]577923.485272338[/C][C]5088.89641744678[/C][/ROW]
[ROW][C]0.69[/C][C]578991.505725279[/C][C]4986.65495274643[/C][/ROW]
[ROW][C]0.7[/C][C]580052.991180819[/C][C]4899.8191800403[/C][/ROW]
[ROW][C]0.71[/C][C]581113.018401362[/C][C]4841.19534712338[/C][/ROW]
[ROW][C]0.72[/C][C]582178.562746282[/C][C]4820.30806748722[/C][/ROW]
[ROW][C]0.73[/C][C]583257.406382788[/C][C]4836.72004400435[/C][/ROW]
[ROW][C]0.74[/C][C]584356.906719944[/C][C]4885.65617047103[/C][/ROW]
[ROW][C]0.75[/C][C]585482.85607788[/C][C]4953.51839476887[/C][/ROW]
[ROW][C]0.76[/C][C]586638.638027602[/C][C]5025.55549103697[/C][/ROW]
[ROW][C]0.77[/C][C]587824.803027478[/C][C]5087.09492515688[/C][/ROW]
[ROW][C]0.78[/C][C]589039.083409697[/C][C]5125.36274718456[/C][/ROW]
[ROW][C]0.79[/C][C]590276.794026504[/C][C]5132.01654696828[/C][/ROW]
[ROW][C]0.8[/C][C]591531.553425286[/C][C]5100.63970607276[/C][/ROW]
[ROW][C]0.81[/C][C]592796.308177302[/C][C]5031.0239143506[/C][/ROW]
[ROW][C]0.82[/C][C]594064.706300761[/C][C]4925.57811393231[/C][/ROW]
[ROW][C]0.83[/C][C]595332.87665264[/C][C]4794.10523661778[/C][/ROW]
[ROW][C]0.84[/C][C]596601.564796924[/C][C]4654.60763948284[/C][/ROW]
[ROW][C]0.85[/C][C]597878.318319418[/C][C]4533.33784879749[/C][/ROW]
[ROW][C]0.86[/C][C]599179.034922772[/C][C]4462.88834593199[/C][/ROW]
[ROW][C]0.87[/C][C]600527.826147078[/C][C]4475.17640612656[/C][/ROW]
[ROW][C]0.88[/C][C]601954.110514773[/C][C]4586.55503401173[/C][/ROW]
[ROW][C]0.89[/C][C]603486.540674115[/C][C]4783.00667776517[/C][/ROW]
[ROW][C]0.9[/C][C]605144.988962771[/C][C]5011.69052604827[/C][/ROW]
[ROW][C]0.91[/C][C]606933.80104416[/C][C]5190.93567823066[/C][/ROW]
[ROW][C]0.92[/C][C]608840.293673925[/C][C]5245.0977879204[/C][/ROW]
[ROW][C]0.93[/C][C]610840.438881764[/C][C]5142.99683466214[/C][/ROW]
[ROW][C]0.94[/C][C]612909.89117099[/C][C]4908.54897789423[/C][/ROW]
[ROW][C]0.95[/C][C]615038.45614196[/C][C]4588.0534831687[/C][/ROW]
[ROW][C]0.96[/C][C]617253.720801516[/C][C]4216.91896980457[/C][/ROW]
[ROW][C]0.97[/C][C]619654.90199066[/C][C]3887.24412507727[/C][/ROW]
[ROW][C]0.98[/C][C]622377.179754446[/C][C]3920.11149555866[/C][/ROW]
[ROW][C]0.99[/C][C]625263.295718022[/C][C]4666.25152804817[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=287166&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=287166&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
0.01473322.8116804079027.95701135468
0.02479631.99708707310059.8065863736
0.03486211.24953287710182.9801682946
0.04492122.1038253549843.572470768
0.05497227.2263873929475.6493469491
0.06501640.0595615379052.83391073701
0.07505478.3945387628505.41206519298
0.08508819.9662366437860.33805670044
0.09511723.2667079677189.19555618034
0.1514248.4331486916576.15208193814
0.11516463.123831936093.08646785405
0.12518437.2908271925771.86303751185
0.13520233.7633902555586.28124926042
0.14521900.2950921535470.72957046712
0.15523466.4825152465359.96420700068
0.16524946.0966921255215.25502800029
0.17526342.881027545027.54583919702
0.18527656.8913854394813.04199748265
0.19528889.1122692184595.107836895
0.2530043.5564761784390.93909068836
0.21531127.353117164213.75302305064
0.22532149.9010079134068.85290849034
0.23533122.0200464693958.7628395332
0.24534055.515248023890.29615255058
0.25534963.0608298423872.76153458562
0.26535858.0516400263916.23795008098
0.27536754.0986230914022.54134528272
0.28537664.0653653834188.39005510137
0.29538598.8039311214399.46032991294
0.3539565.9246574634632.88138979034
0.31540568.9656060294865.97836089599
0.32541607.2206262765076.09290128726
0.33542676.2954225735247.46601220484
0.34543769.2605855575370.07715237418
0.35544878.1213746645448.13526079469
0.36545995.2621254745487.07451363664
0.37547114.5540919835499.9536218327
0.38548231.9196963675499.86562559004
0.39549345.2890952215498.70737106622
0.4550454.0287485665502.5842454074
0.41551558.034166355508.99646951236
0.42552656.739622885511.850461945
0.43553748.2993668545499.77898670871
0.44554829.1432779565460.79855681
0.45555894.020128765385.23673495597
0.46556936.5341754855265.89350680769
0.47557950.077516735105.52015929499
0.48558928.9807097824911.49182793093
0.49559869.6611203844697.69057116376
0.5560771.5485844134484.16810783579
0.51561637.609369264292.36399882189
0.52562474.3630238774142.61850172027
0.53563291.3778687514054.28967194001
0.54564100.3220998524034.47051376322
0.55564913.7215631464086.1942557906
0.56565743.6185749864200.76783167606
0.57566600.3315273054362.0996292593
0.58567491.483458134552.09240660897
0.59568421.4086206964751.55872746077
0.6569390.9749069554940.08934442968
0.61570397.7944353895102.57410545053
0.62571436.7491890115227.78455327618
0.63572500.7398372795308.18350528935
0.64573581.5701171155340.70631090629
0.65574670.8941226065327.71291346628
0.66575761.1643227665273.94335727145
0.67576846.5135637215190.42259634135
0.68577923.4852723385088.89641744678
0.69578991.5057252794986.65495274643
0.7580052.9911808194899.8191800403
0.71581113.0184013624841.19534712338
0.72582178.5627462824820.30806748722
0.73583257.4063827884836.72004400435
0.74584356.9067199444885.65617047103
0.75585482.856077884953.51839476887
0.76586638.6380276025025.55549103697
0.77587824.8030274785087.09492515688
0.78589039.0834096975125.36274718456
0.79590276.7940265045132.01654696828
0.8591531.5534252865100.63970607276
0.81592796.3081773025031.0239143506
0.82594064.7063007614925.57811393231
0.83595332.876652644794.10523661778
0.84596601.5647969244654.60763948284
0.85597878.3183194184533.33784879749
0.86599179.0349227724462.88834593199
0.87600527.8261470784475.17640612656
0.88601954.1105147734586.55503401173
0.89603486.5406741154783.00667776517
0.9605144.9889627715011.69052604827
0.91606933.801044165190.93567823066
0.92608840.2936739255245.0977879204
0.93610840.4388817645142.99683466214
0.94612909.891170994908.54897789423
0.95615038.456141964588.0534831687
0.96617253.7208015164216.91896980457
0.97619654.901990663887.24412507727
0.98622377.1797544463920.11149555866
0.99625263.2957180224666.25152804817


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')