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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 computationSun, 16 Feb 2014 12:31:04 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Feb/16/t1392571888hw6zj20hg7rsjcj.htm/, Retrieved Sat, 18 May 2024 04:01:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233790, Retrieved Sat, 18 May 2024 04:01:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact50

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] [opgave 4 oef 2] [2014-02-16 17:31:04] [92f35a2db74bf110e350beffc19b3da6] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
832
826
907
776
835
715
729
733
736
712
711
667
799
661
692
649
729
622
671
635
648
744
624
476
710
515
461
590
415
554
585
513
591
561
684
668
795
776
1043
964
762
1030
939
779
918
839
874
840
794
820
1003
780
607
1001
743
810
716
775
883
633
755
782
882
694
896
674
702
799
791
797
1021
738
1023
955
912
850
1011
872
1074
811
878
1081
956
812

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233790&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233790&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233790&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01431.81949507027838.0779443283207
0.02455.59721194109332.833402185086
0.03478.27103194251232.9130394999472
0.04498.20066370931334.4848452332475
0.05516.03494929635335.3530059817226
0.06532.26970899455535.1652064067144
0.07547.02064160428533.9794039160283
0.08560.28831531564132.0747894441318
0.09572.11835748506229.9229533742566
0.1582.64422396046527.9712630711125
0.11592.06558899527226.4491479711225
0.12600.6002339814225.3479840972329
0.13608.44030764863124.522758485975
0.14615.730573272323.8294571329403
0.15622.56904831331123.1852389515238
0.16629.02001706806422.567719420711
0.17635.12871153720621.9853921911862
0.18640.93178749461421.4487465854187
0.19646.46278024876420.9648537152161
0.2651.75426253946620.5388157151459
0.21656.83848189063620.1859056012471
0.22661.74722406408819.9200378773112
0.23666.51084327416419.7467481501466
0.24671.15634066772419.6565238799074
0.25675.70484896915319.6182749655313
0.26680.16937958992119.5846916230552
0.27684.55380882307419.5065554325648
0.28688.8537302765519.3454348694263
0.29693.05916490381519.0830764743624
0.3697.15849786146418.728391355417
0.31701.14265284896318.3132424426576
0.32705.00852042979117.881509671111
0.33708.76096827849617.4871422375443
0.34712.41321626955317.1723431765048
0.35715.98577612711116.9746475903771
0.36719.50440533603616.9118061807045
0.37722.99757004651816.9906697808051
0.38726.49380020827817.205092496772
0.39730.01915091629817.5380797203022
0.4733.59485635902717.9608954459602
0.41737.23523438978818.4350342839152
0.42740.94596648445518.9106099414707
0.43744.72298230177919.3322694726803
0.44748.55224026011719.6453137632611
0.45752.41065180633619.7981955815275
0.46756.2682302980819.7590250263018
0.47760.09129454890319.5136405492885
0.48763.84630215290519.0755365879189
0.49767.50371772047418.477923567669
0.5771.04129829554417.7719486873928
0.51774.44631331232917.017292686062
0.52777.71646543947716.2763977889742
0.53780.85956083792815.6001326953633
0.54783.89220701250315.0345222575502
0.55786.83793454438114.6051909813679
0.56789.72513217326114.3322710317574
0.57792.58508467983814.2234208173896
0.58795.4502683306814.2768912208727
0.59798.35294748446314.4876168261126
0.6801.32406208292114.8430536733547
0.61804.39239715944315.3266439002751
0.62807.58404974549515.9178514466927
0.63810.92221176307916.5984227858539
0.64814.42723891351217.3487362797832
0.65818.11687745730218.1557299189847
0.66822.00641456555319.0087535422528
0.67826.10847187301619.8963820462444
0.68830.4322415570820.8048205691177
0.69834.9821949156721.7101100902947
0.7839.75662970235322.575187873638
0.71844.74674396167623.3553024531908
0.72849.93706823869724.0099823468623
0.73855.30791720481624.5092909284584
0.74860.840000480624.852943175477
0.75866.52057650304125.0796045907852
0.76872.34979602573525.263173069616
0.77878.34546896129625.5007580489096
0.78884.54462947929325.8903875092423
0.79891.00100722738426.5013675991496
0.8897.77863266068727.3556664962955
0.81904.94290514425828.4220991082704
0.82912.55104947889729.6227480057742
0.83920.64360956690330.8530846203449
0.84929.23745876042731.9994789957774
0.85938.3192917961332.9498516645619
0.86947.83782014873633.5858398293253
0.87957.69416034089233.7635425202693
0.88967.73360794526533.3050217758932
0.89977.7468283809632.0310906631645
0.9987.49154251669429.8419772363143
0.91996.7441372352926.8250401826632
0.921005.3834148299723.3320294173257
0.931013.4963675658919.9997547155021
0.941021.4747892865417.7056628968072
0.951030.0299842515717.3609238575373
0.961039.9903325674519.1536287770037
0.971051.736719743421.4109173832761
0.981064.3603150903320.488936814678
0.991075.2044562425113.8749661596114

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 431.819495070278 & 38.0779443283207 \tabularnewline
0.02 & 455.597211941093 & 32.833402185086 \tabularnewline
0.03 & 478.271031942512 & 32.9130394999472 \tabularnewline
0.04 & 498.200663709313 & 34.4848452332475 \tabularnewline
0.05 & 516.034949296353 & 35.3530059817226 \tabularnewline
0.06 & 532.269708994555 & 35.1652064067144 \tabularnewline
0.07 & 547.020641604285 & 33.9794039160283 \tabularnewline
0.08 & 560.288315315641 & 32.0747894441318 \tabularnewline
0.09 & 572.118357485062 & 29.9229533742566 \tabularnewline
0.1 & 582.644223960465 & 27.9712630711125 \tabularnewline
0.11 & 592.065588995272 & 26.4491479711225 \tabularnewline
0.12 & 600.60023398142 & 25.3479840972329 \tabularnewline
0.13 & 608.440307648631 & 24.522758485975 \tabularnewline
0.14 & 615.7305732723 & 23.8294571329403 \tabularnewline
0.15 & 622.569048313311 & 23.1852389515238 \tabularnewline
0.16 & 629.020017068064 & 22.567719420711 \tabularnewline
0.17 & 635.128711537206 & 21.9853921911862 \tabularnewline
0.18 & 640.931787494614 & 21.4487465854187 \tabularnewline
0.19 & 646.462780248764 & 20.9648537152161 \tabularnewline
0.2 & 651.754262539466 & 20.5388157151459 \tabularnewline
0.21 & 656.838481890636 & 20.1859056012471 \tabularnewline
0.22 & 661.747224064088 & 19.9200378773112 \tabularnewline
0.23 & 666.510843274164 & 19.7467481501466 \tabularnewline
0.24 & 671.156340667724 & 19.6565238799074 \tabularnewline
0.25 & 675.704848969153 & 19.6182749655313 \tabularnewline
0.26 & 680.169379589921 & 19.5846916230552 \tabularnewline
0.27 & 684.553808823074 & 19.5065554325648 \tabularnewline
0.28 & 688.85373027655 & 19.3454348694263 \tabularnewline
0.29 & 693.059164903815 & 19.0830764743624 \tabularnewline
0.3 & 697.158497861464 & 18.728391355417 \tabularnewline
0.31 & 701.142652848963 & 18.3132424426576 \tabularnewline
0.32 & 705.008520429791 & 17.881509671111 \tabularnewline
0.33 & 708.760968278496 & 17.4871422375443 \tabularnewline
0.34 & 712.413216269553 & 17.1723431765048 \tabularnewline
0.35 & 715.985776127111 & 16.9746475903771 \tabularnewline
0.36 & 719.504405336036 & 16.9118061807045 \tabularnewline
0.37 & 722.997570046518 & 16.9906697808051 \tabularnewline
0.38 & 726.493800208278 & 17.205092496772 \tabularnewline
0.39 & 730.019150916298 & 17.5380797203022 \tabularnewline
0.4 & 733.594856359027 & 17.9608954459602 \tabularnewline
0.41 & 737.235234389788 & 18.4350342839152 \tabularnewline
0.42 & 740.945966484455 & 18.9106099414707 \tabularnewline
0.43 & 744.722982301779 & 19.3322694726803 \tabularnewline
0.44 & 748.552240260117 & 19.6453137632611 \tabularnewline
0.45 & 752.410651806336 & 19.7981955815275 \tabularnewline
0.46 & 756.26823029808 & 19.7590250263018 \tabularnewline
0.47 & 760.091294548903 & 19.5136405492885 \tabularnewline
0.48 & 763.846302152905 & 19.0755365879189 \tabularnewline
0.49 & 767.503717720474 & 18.477923567669 \tabularnewline
0.5 & 771.041298295544 & 17.7719486873928 \tabularnewline
0.51 & 774.446313312329 & 17.017292686062 \tabularnewline
0.52 & 777.716465439477 & 16.2763977889742 \tabularnewline
0.53 & 780.859560837928 & 15.6001326953633 \tabularnewline
0.54 & 783.892207012503 & 15.0345222575502 \tabularnewline
0.55 & 786.837934544381 & 14.6051909813679 \tabularnewline
0.56 & 789.725132173261 & 14.3322710317574 \tabularnewline
0.57 & 792.585084679838 & 14.2234208173896 \tabularnewline
0.58 & 795.45026833068 & 14.2768912208727 \tabularnewline
0.59 & 798.352947484463 & 14.4876168261126 \tabularnewline
0.6 & 801.324062082921 & 14.8430536733547 \tabularnewline
0.61 & 804.392397159443 & 15.3266439002751 \tabularnewline
0.62 & 807.584049745495 & 15.9178514466927 \tabularnewline
0.63 & 810.922211763079 & 16.5984227858539 \tabularnewline
0.64 & 814.427238913512 & 17.3487362797832 \tabularnewline
0.65 & 818.116877457302 & 18.1557299189847 \tabularnewline
0.66 & 822.006414565553 & 19.0087535422528 \tabularnewline
0.67 & 826.108471873016 & 19.8963820462444 \tabularnewline
0.68 & 830.43224155708 & 20.8048205691177 \tabularnewline
0.69 & 834.98219491567 & 21.7101100902947 \tabularnewline
0.7 & 839.756629702353 & 22.575187873638 \tabularnewline
0.71 & 844.746743961676 & 23.3553024531908 \tabularnewline
0.72 & 849.937068238697 & 24.0099823468623 \tabularnewline
0.73 & 855.307917204816 & 24.5092909284584 \tabularnewline
0.74 & 860.8400004806 & 24.852943175477 \tabularnewline
0.75 & 866.520576503041 & 25.0796045907852 \tabularnewline
0.76 & 872.349796025735 & 25.263173069616 \tabularnewline
0.77 & 878.345468961296 & 25.5007580489096 \tabularnewline
0.78 & 884.544629479293 & 25.8903875092423 \tabularnewline
0.79 & 891.001007227384 & 26.5013675991496 \tabularnewline
0.8 & 897.778632660687 & 27.3556664962955 \tabularnewline
0.81 & 904.942905144258 & 28.4220991082704 \tabularnewline
0.82 & 912.551049478897 & 29.6227480057742 \tabularnewline
0.83 & 920.643609566903 & 30.8530846203449 \tabularnewline
0.84 & 929.237458760427 & 31.9994789957774 \tabularnewline
0.85 & 938.31929179613 & 32.9498516645619 \tabularnewline
0.86 & 947.837820148736 & 33.5858398293253 \tabularnewline
0.87 & 957.694160340892 & 33.7635425202693 \tabularnewline
0.88 & 967.733607945265 & 33.3050217758932 \tabularnewline
0.89 & 977.74682838096 & 32.0310906631645 \tabularnewline
0.9 & 987.491542516694 & 29.8419772363143 \tabularnewline
0.91 & 996.74413723529 & 26.8250401826632 \tabularnewline
0.92 & 1005.38341482997 & 23.3320294173257 \tabularnewline
0.93 & 1013.49636756589 & 19.9997547155021 \tabularnewline
0.94 & 1021.47478928654 & 17.7056628968072 \tabularnewline
0.95 & 1030.02998425157 & 17.3609238575373 \tabularnewline
0.96 & 1039.99033256745 & 19.1536287770037 \tabularnewline
0.97 & 1051.7367197434 & 21.4109173832761 \tabularnewline
0.98 & 1064.36031509033 & 20.488936814678 \tabularnewline
0.99 & 1075.20445624251 & 13.8749661596114 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233790&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]431.819495070278[/C][C]38.0779443283207[/C][/ROW]
[ROW][C]0.02[/C][C]455.597211941093[/C][C]32.833402185086[/C][/ROW]
[ROW][C]0.03[/C][C]478.271031942512[/C][C]32.9130394999472[/C][/ROW]
[ROW][C]0.04[/C][C]498.200663709313[/C][C]34.4848452332475[/C][/ROW]
[ROW][C]0.05[/C][C]516.034949296353[/C][C]35.3530059817226[/C][/ROW]
[ROW][C]0.06[/C][C]532.269708994555[/C][C]35.1652064067144[/C][/ROW]
[ROW][C]0.07[/C][C]547.020641604285[/C][C]33.9794039160283[/C][/ROW]
[ROW][C]0.08[/C][C]560.288315315641[/C][C]32.0747894441318[/C][/ROW]
[ROW][C]0.09[/C][C]572.118357485062[/C][C]29.9229533742566[/C][/ROW]
[ROW][C]0.1[/C][C]582.644223960465[/C][C]27.9712630711125[/C][/ROW]
[ROW][C]0.11[/C][C]592.065588995272[/C][C]26.4491479711225[/C][/ROW]
[ROW][C]0.12[/C][C]600.60023398142[/C][C]25.3479840972329[/C][/ROW]
[ROW][C]0.13[/C][C]608.440307648631[/C][C]24.522758485975[/C][/ROW]
[ROW][C]0.14[/C][C]615.7305732723[/C][C]23.8294571329403[/C][/ROW]
[ROW][C]0.15[/C][C]622.569048313311[/C][C]23.1852389515238[/C][/ROW]
[ROW][C]0.16[/C][C]629.020017068064[/C][C]22.567719420711[/C][/ROW]
[ROW][C]0.17[/C][C]635.128711537206[/C][C]21.9853921911862[/C][/ROW]
[ROW][C]0.18[/C][C]640.931787494614[/C][C]21.4487465854187[/C][/ROW]
[ROW][C]0.19[/C][C]646.462780248764[/C][C]20.9648537152161[/C][/ROW]
[ROW][C]0.2[/C][C]651.754262539466[/C][C]20.5388157151459[/C][/ROW]
[ROW][C]0.21[/C][C]656.838481890636[/C][C]20.1859056012471[/C][/ROW]
[ROW][C]0.22[/C][C]661.747224064088[/C][C]19.9200378773112[/C][/ROW]
[ROW][C]0.23[/C][C]666.510843274164[/C][C]19.7467481501466[/C][/ROW]
[ROW][C]0.24[/C][C]671.156340667724[/C][C]19.6565238799074[/C][/ROW]
[ROW][C]0.25[/C][C]675.704848969153[/C][C]19.6182749655313[/C][/ROW]
[ROW][C]0.26[/C][C]680.169379589921[/C][C]19.5846916230552[/C][/ROW]
[ROW][C]0.27[/C][C]684.553808823074[/C][C]19.5065554325648[/C][/ROW]
[ROW][C]0.28[/C][C]688.85373027655[/C][C]19.3454348694263[/C][/ROW]
[ROW][C]0.29[/C][C]693.059164903815[/C][C]19.0830764743624[/C][/ROW]
[ROW][C]0.3[/C][C]697.158497861464[/C][C]18.728391355417[/C][/ROW]
[ROW][C]0.31[/C][C]701.142652848963[/C][C]18.3132424426576[/C][/ROW]
[ROW][C]0.32[/C][C]705.008520429791[/C][C]17.881509671111[/C][/ROW]
[ROW][C]0.33[/C][C]708.760968278496[/C][C]17.4871422375443[/C][/ROW]
[ROW][C]0.34[/C][C]712.413216269553[/C][C]17.1723431765048[/C][/ROW]
[ROW][C]0.35[/C][C]715.985776127111[/C][C]16.9746475903771[/C][/ROW]
[ROW][C]0.36[/C][C]719.504405336036[/C][C]16.9118061807045[/C][/ROW]
[ROW][C]0.37[/C][C]722.997570046518[/C][C]16.9906697808051[/C][/ROW]
[ROW][C]0.38[/C][C]726.493800208278[/C][C]17.205092496772[/C][/ROW]
[ROW][C]0.39[/C][C]730.019150916298[/C][C]17.5380797203022[/C][/ROW]
[ROW][C]0.4[/C][C]733.594856359027[/C][C]17.9608954459602[/C][/ROW]
[ROW][C]0.41[/C][C]737.235234389788[/C][C]18.4350342839152[/C][/ROW]
[ROW][C]0.42[/C][C]740.945966484455[/C][C]18.9106099414707[/C][/ROW]
[ROW][C]0.43[/C][C]744.722982301779[/C][C]19.3322694726803[/C][/ROW]
[ROW][C]0.44[/C][C]748.552240260117[/C][C]19.6453137632611[/C][/ROW]
[ROW][C]0.45[/C][C]752.410651806336[/C][C]19.7981955815275[/C][/ROW]
[ROW][C]0.46[/C][C]756.26823029808[/C][C]19.7590250263018[/C][/ROW]
[ROW][C]0.47[/C][C]760.091294548903[/C][C]19.5136405492885[/C][/ROW]
[ROW][C]0.48[/C][C]763.846302152905[/C][C]19.0755365879189[/C][/ROW]
[ROW][C]0.49[/C][C]767.503717720474[/C][C]18.477923567669[/C][/ROW]
[ROW][C]0.5[/C][C]771.041298295544[/C][C]17.7719486873928[/C][/ROW]
[ROW][C]0.51[/C][C]774.446313312329[/C][C]17.017292686062[/C][/ROW]
[ROW][C]0.52[/C][C]777.716465439477[/C][C]16.2763977889742[/C][/ROW]
[ROW][C]0.53[/C][C]780.859560837928[/C][C]15.6001326953633[/C][/ROW]
[ROW][C]0.54[/C][C]783.892207012503[/C][C]15.0345222575502[/C][/ROW]
[ROW][C]0.55[/C][C]786.837934544381[/C][C]14.6051909813679[/C][/ROW]
[ROW][C]0.56[/C][C]789.725132173261[/C][C]14.3322710317574[/C][/ROW]
[ROW][C]0.57[/C][C]792.585084679838[/C][C]14.2234208173896[/C][/ROW]
[ROW][C]0.58[/C][C]795.45026833068[/C][C]14.2768912208727[/C][/ROW]
[ROW][C]0.59[/C][C]798.352947484463[/C][C]14.4876168261126[/C][/ROW]
[ROW][C]0.6[/C][C]801.324062082921[/C][C]14.8430536733547[/C][/ROW]
[ROW][C]0.61[/C][C]804.392397159443[/C][C]15.3266439002751[/C][/ROW]
[ROW][C]0.62[/C][C]807.584049745495[/C][C]15.9178514466927[/C][/ROW]
[ROW][C]0.63[/C][C]810.922211763079[/C][C]16.5984227858539[/C][/ROW]
[ROW][C]0.64[/C][C]814.427238913512[/C][C]17.3487362797832[/C][/ROW]
[ROW][C]0.65[/C][C]818.116877457302[/C][C]18.1557299189847[/C][/ROW]
[ROW][C]0.66[/C][C]822.006414565553[/C][C]19.0087535422528[/C][/ROW]
[ROW][C]0.67[/C][C]826.108471873016[/C][C]19.8963820462444[/C][/ROW]
[ROW][C]0.68[/C][C]830.43224155708[/C][C]20.8048205691177[/C][/ROW]
[ROW][C]0.69[/C][C]834.98219491567[/C][C]21.7101100902947[/C][/ROW]
[ROW][C]0.7[/C][C]839.756629702353[/C][C]22.575187873638[/C][/ROW]
[ROW][C]0.71[/C][C]844.746743961676[/C][C]23.3553024531908[/C][/ROW]
[ROW][C]0.72[/C][C]849.937068238697[/C][C]24.0099823468623[/C][/ROW]
[ROW][C]0.73[/C][C]855.307917204816[/C][C]24.5092909284584[/C][/ROW]
[ROW][C]0.74[/C][C]860.8400004806[/C][C]24.852943175477[/C][/ROW]
[ROW][C]0.75[/C][C]866.520576503041[/C][C]25.0796045907852[/C][/ROW]
[ROW][C]0.76[/C][C]872.349796025735[/C][C]25.263173069616[/C][/ROW]
[ROW][C]0.77[/C][C]878.345468961296[/C][C]25.5007580489096[/C][/ROW]
[ROW][C]0.78[/C][C]884.544629479293[/C][C]25.8903875092423[/C][/ROW]
[ROW][C]0.79[/C][C]891.001007227384[/C][C]26.5013675991496[/C][/ROW]
[ROW][C]0.8[/C][C]897.778632660687[/C][C]27.3556664962955[/C][/ROW]
[ROW][C]0.81[/C][C]904.942905144258[/C][C]28.4220991082704[/C][/ROW]
[ROW][C]0.82[/C][C]912.551049478897[/C][C]29.6227480057742[/C][/ROW]
[ROW][C]0.83[/C][C]920.643609566903[/C][C]30.8530846203449[/C][/ROW]
[ROW][C]0.84[/C][C]929.237458760427[/C][C]31.9994789957774[/C][/ROW]
[ROW][C]0.85[/C][C]938.31929179613[/C][C]32.9498516645619[/C][/ROW]
[ROW][C]0.86[/C][C]947.837820148736[/C][C]33.5858398293253[/C][/ROW]
[ROW][C]0.87[/C][C]957.694160340892[/C][C]33.7635425202693[/C][/ROW]
[ROW][C]0.88[/C][C]967.733607945265[/C][C]33.3050217758932[/C][/ROW]
[ROW][C]0.89[/C][C]977.74682838096[/C][C]32.0310906631645[/C][/ROW]
[ROW][C]0.9[/C][C]987.491542516694[/C][C]29.8419772363143[/C][/ROW]
[ROW][C]0.91[/C][C]996.74413723529[/C][C]26.8250401826632[/C][/ROW]
[ROW][C]0.92[/C][C]1005.38341482997[/C][C]23.3320294173257[/C][/ROW]
[ROW][C]0.93[/C][C]1013.49636756589[/C][C]19.9997547155021[/C][/ROW]
[ROW][C]0.94[/C][C]1021.47478928654[/C][C]17.7056628968072[/C][/ROW]
[ROW][C]0.95[/C][C]1030.02998425157[/C][C]17.3609238575373[/C][/ROW]
[ROW][C]0.96[/C][C]1039.99033256745[/C][C]19.1536287770037[/C][/ROW]
[ROW][C]0.97[/C][C]1051.7367197434[/C][C]21.4109173832761[/C][/ROW]
[ROW][C]0.98[/C][C]1064.36031509033[/C][C]20.488936814678[/C][/ROW]
[ROW][C]0.99[/C][C]1075.20445624251[/C][C]13.8749661596114[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233790&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233790&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
0.01431.81949507027838.0779443283207
0.02455.59721194109332.833402185086
0.03478.27103194251232.9130394999472
0.04498.20066370931334.4848452332475
0.05516.03494929635335.3530059817226
0.06532.26970899455535.1652064067144
0.07547.02064160428533.9794039160283
0.08560.28831531564132.0747894441318
0.09572.11835748506229.9229533742566
0.1582.64422396046527.9712630711125
0.11592.06558899527226.4491479711225
0.12600.6002339814225.3479840972329
0.13608.44030764863124.522758485975
0.14615.730573272323.8294571329403
0.15622.56904831331123.1852389515238
0.16629.02001706806422.567719420711
0.17635.12871153720621.9853921911862
0.18640.93178749461421.4487465854187
0.19646.46278024876420.9648537152161
0.2651.75426253946620.5388157151459
0.21656.83848189063620.1859056012471
0.22661.74722406408819.9200378773112
0.23666.51084327416419.7467481501466
0.24671.15634066772419.6565238799074
0.25675.70484896915319.6182749655313
0.26680.16937958992119.5846916230552
0.27684.55380882307419.5065554325648
0.28688.8537302765519.3454348694263
0.29693.05916490381519.0830764743624
0.3697.15849786146418.728391355417
0.31701.14265284896318.3132424426576
0.32705.00852042979117.881509671111
0.33708.76096827849617.4871422375443
0.34712.41321626955317.1723431765048
0.35715.98577612711116.9746475903771
0.36719.50440533603616.9118061807045
0.37722.99757004651816.9906697808051
0.38726.49380020827817.205092496772
0.39730.01915091629817.5380797203022
0.4733.59485635902717.9608954459602
0.41737.23523438978818.4350342839152
0.42740.94596648445518.9106099414707
0.43744.72298230177919.3322694726803
0.44748.55224026011719.6453137632611
0.45752.41065180633619.7981955815275
0.46756.2682302980819.7590250263018
0.47760.09129454890319.5136405492885
0.48763.84630215290519.0755365879189
0.49767.50371772047418.477923567669
0.5771.04129829554417.7719486873928
0.51774.44631331232917.017292686062
0.52777.71646543947716.2763977889742
0.53780.85956083792815.6001326953633
0.54783.89220701250315.0345222575502
0.55786.83793454438114.6051909813679
0.56789.72513217326114.3322710317574
0.57792.58508467983814.2234208173896
0.58795.4502683306814.2768912208727
0.59798.35294748446314.4876168261126
0.6801.32406208292114.8430536733547
0.61804.39239715944315.3266439002751
0.62807.58404974549515.9178514466927
0.63810.92221176307916.5984227858539
0.64814.42723891351217.3487362797832
0.65818.11687745730218.1557299189847
0.66822.00641456555319.0087535422528
0.67826.10847187301619.8963820462444
0.68830.4322415570820.8048205691177
0.69834.9821949156721.7101100902947
0.7839.75662970235322.575187873638
0.71844.74674396167623.3553024531908
0.72849.93706823869724.0099823468623
0.73855.30791720481624.5092909284584
0.74860.840000480624.852943175477
0.75866.52057650304125.0796045907852
0.76872.34979602573525.263173069616
0.77878.34546896129625.5007580489096
0.78884.54462947929325.8903875092423
0.79891.00100722738426.5013675991496
0.8897.77863266068727.3556664962955
0.81904.94290514425828.4220991082704
0.82912.55104947889729.6227480057742
0.83920.64360956690330.8530846203449
0.84929.23745876042731.9994789957774
0.85938.3192917961332.9498516645619
0.86947.83782014873633.5858398293253
0.87957.69416034089233.7635425202693
0.88967.73360794526533.3050217758932
0.89977.7468283809632.0310906631645
0.9987.49154251669429.8419772363143
0.91996.7441372352926.8250401826632
0.921005.3834148299723.3320294173257
0.931013.4963675658919.9997547155021
0.941021.4747892865417.7056628968072
0.951030.0299842515717.3609238575373
0.961039.9903325674519.1536287770037
0.971051.736719743421.4109173832761
0.981064.3603150903320.488936814678
0.991075.2044562425113.8749661596114


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')