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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 computationSat, 24 Dec 2011 09:07:34 -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/2011/Dec/24/t13247358045arhlu70fx3c68i.htm/, Retrieved Thu, 02 May 2024 15:33:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=160757, Retrieved Thu, 02 May 2024 15:33:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact156

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] [] [2011-12-24 14:07:34] [b73e01d307dfd28a47e36e69f67f21fd] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
797
840
988
819
831
904
814
798
828
789
930
744
832
826
907
776
835
715
729
733
736
712
711
667
799
661
692
649
729
622
671
635
648
745
624
477
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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160757&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160757&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160757&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01428.7654367875439.2588265119486
0.02448.87020119545833.7687887721647
0.03469.15198308002632.3756320577416
0.04487.41361620079733.3363952857811
0.05503.75732137734134.4690340644278
0.06518.68357837736135.0155690324294
0.07532.46344572431534.8245608411856
0.08545.16532826735133.8941987626831
0.09556.78811628730132.3695415561277
0.1567.34479337850830.5386213483662
0.11576.89545664311728.7237963865981
0.12585.54739272333427.1606055501991
0.13593.4361077415825.9407291498388
0.14600.70052046846625.0295929958626
0.15607.46327658749124.3318671271488
0.16613.82154088246423.7581841280666
0.17619.84767546714923.2584403644093
0.18625.59573319560322.8240461768851
0.19631.10923499281222.4729597523342
0.2636.42716636840722.2264119712509
0.21641.58706783397322.10211042784
0.22646.62552043284822.1045664620959
0.23651.57693741906922.2256886067979
0.24656.47155810958522.4486282146358
0.25661.33326968708822.7423990324265
0.26666.17764994869423.0678272983692
0.27671.01053616065823.3710886459162
0.28675.82743034912323.5951616565002
0.29680.61403334422423.6872019741839
0.3685.34807279414623.6050216023913
0.31690.00234823698223.3280537157013
0.32694.5486285038522.8617509688784
0.33698.96180579355122.2392747992286
0.34703.22362114558121.5138261443688
0.35707.32535814312820.7507302142249
0.36711.26912393562320.0207928806082
0.37715.06762403213919.3862921674856
0.38718.74260416049318.8957352118538
0.39722.32231444364518.5790426850399
0.4725.83842353450518.4468266188281
0.41729.32278837876718.4888317047423
0.42732.80440915863718.6797486198531
0.43736.30681251397618.9808369033421
0.44739.84603841441519.3417142916924
0.45743.42936299130919.7075651980313
0.46747.05485727494720.0234435966975
0.47750.71183805020620.2366094614634
0.48754.38219584231220.3069385347375
0.49758.04248624826920.2095203959201
0.5761.66656216965419.9353415993895
0.51765.22843498350519.4968194515393
0.52768.70501075181918.9206591245976
0.53772.07836923582218.2450134024164
0.54775.33733548988117.5185920902111
0.55778.4782145550916.7894797772843
0.56781.5046874717116.0989153599791
0.57784.42697138565315.4854844072073
0.58787.26041007514414.9734257611195
0.59790.02368307830514.5766952053376
0.6792.7368157907314.2994019011743
0.61795.4191598021914.1298149879139
0.62798.08750876720814.0489142058099
0.63800.75452512434514.0276616633056
0.64803.42766871341614.03059149772
0.65806.10882308992214.0215911216653
0.66808.79479241892613.9682601919891
0.67811.47878237475613.8488416971225
0.68814.15288464686413.6591302486504
0.69816.8114668203913.4111282799215
0.7819.45523907073313.1399275045758
0.71822.09563232519612.9074568874079
0.72824.7589790610612.7944382831854
0.73827.489839391912.903126765332
0.74830.35268071203813.3438378645376
0.75833.43105111036714.2161181420671
0.76836.82347369989815.5834234081728
0.77840.63563575969617.4492461849573
0.78844.96912567859719.7455090563362
0.79849.90795604799822.3303482575236
0.8855.50522136557925.0027353431931
0.81861.77312704227227.5280146066457
0.82868.67984889509429.6758497245572
0.83876.15584476039931.2681803130146
0.84884.11018217891732.225200849999
0.85892.45439300874332.593318665627
0.86901.12797945321332.5470930967946
0.87910.11701897543332.3490739079296
0.88919.45665071145632.2670004414755
0.89929.21097948238532.4503120881902
0.9939.4312807820532.8245006332712
0.91950.10535518702733.054247816718
0.92961.12437727764632.6453407083941
0.93972.29987259647731.176484380451
0.94983.44804133594728.6070225564228
0.95994.50959226740125.4992939395726
0.961005.6007530005822.8312007709008
0.971016.8453220436420.9781157212575
0.981027.9025514554818.7995322587833
0.991037.3892711474515.4102082521172

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 428.76543678754 & 39.2588265119486 \tabularnewline
0.02 & 448.870201195458 & 33.7687887721647 \tabularnewline
0.03 & 469.151983080026 & 32.3756320577416 \tabularnewline
0.04 & 487.413616200797 & 33.3363952857811 \tabularnewline
0.05 & 503.757321377341 & 34.4690340644278 \tabularnewline
0.06 & 518.683578377361 & 35.0155690324294 \tabularnewline
0.07 & 532.463445724315 & 34.8245608411856 \tabularnewline
0.08 & 545.165328267351 & 33.8941987626831 \tabularnewline
0.09 & 556.788116287301 & 32.3695415561277 \tabularnewline
0.1 & 567.344793378508 & 30.5386213483662 \tabularnewline
0.11 & 576.895456643117 & 28.7237963865981 \tabularnewline
0.12 & 585.547392723334 & 27.1606055501991 \tabularnewline
0.13 & 593.43610774158 & 25.9407291498388 \tabularnewline
0.14 & 600.700520468466 & 25.0295929958626 \tabularnewline
0.15 & 607.463276587491 & 24.3318671271488 \tabularnewline
0.16 & 613.821540882464 & 23.7581841280666 \tabularnewline
0.17 & 619.847675467149 & 23.2584403644093 \tabularnewline
0.18 & 625.595733195603 & 22.8240461768851 \tabularnewline
0.19 & 631.109234992812 & 22.4729597523342 \tabularnewline
0.2 & 636.427166368407 & 22.2264119712509 \tabularnewline
0.21 & 641.587067833973 & 22.10211042784 \tabularnewline
0.22 & 646.625520432848 & 22.1045664620959 \tabularnewline
0.23 & 651.576937419069 & 22.2256886067979 \tabularnewline
0.24 & 656.471558109585 & 22.4486282146358 \tabularnewline
0.25 & 661.333269687088 & 22.7423990324265 \tabularnewline
0.26 & 666.177649948694 & 23.0678272983692 \tabularnewline
0.27 & 671.010536160658 & 23.3710886459162 \tabularnewline
0.28 & 675.827430349123 & 23.5951616565002 \tabularnewline
0.29 & 680.614033344224 & 23.6872019741839 \tabularnewline
0.3 & 685.348072794146 & 23.6050216023913 \tabularnewline
0.31 & 690.002348236982 & 23.3280537157013 \tabularnewline
0.32 & 694.54862850385 & 22.8617509688784 \tabularnewline
0.33 & 698.961805793551 & 22.2392747992286 \tabularnewline
0.34 & 703.223621145581 & 21.5138261443688 \tabularnewline
0.35 & 707.325358143128 & 20.7507302142249 \tabularnewline
0.36 & 711.269123935623 & 20.0207928806082 \tabularnewline
0.37 & 715.067624032139 & 19.3862921674856 \tabularnewline
0.38 & 718.742604160493 & 18.8957352118538 \tabularnewline
0.39 & 722.322314443645 & 18.5790426850399 \tabularnewline
0.4 & 725.838423534505 & 18.4468266188281 \tabularnewline
0.41 & 729.322788378767 & 18.4888317047423 \tabularnewline
0.42 & 732.804409158637 & 18.6797486198531 \tabularnewline
0.43 & 736.306812513976 & 18.9808369033421 \tabularnewline
0.44 & 739.846038414415 & 19.3417142916924 \tabularnewline
0.45 & 743.429362991309 & 19.7075651980313 \tabularnewline
0.46 & 747.054857274947 & 20.0234435966975 \tabularnewline
0.47 & 750.711838050206 & 20.2366094614634 \tabularnewline
0.48 & 754.382195842312 & 20.3069385347375 \tabularnewline
0.49 & 758.042486248269 & 20.2095203959201 \tabularnewline
0.5 & 761.666562169654 & 19.9353415993895 \tabularnewline
0.51 & 765.228434983505 & 19.4968194515393 \tabularnewline
0.52 & 768.705010751819 & 18.9206591245976 \tabularnewline
0.53 & 772.078369235822 & 18.2450134024164 \tabularnewline
0.54 & 775.337335489881 & 17.5185920902111 \tabularnewline
0.55 & 778.47821455509 & 16.7894797772843 \tabularnewline
0.56 & 781.50468747171 & 16.0989153599791 \tabularnewline
0.57 & 784.426971385653 & 15.4854844072073 \tabularnewline
0.58 & 787.260410075144 & 14.9734257611195 \tabularnewline
0.59 & 790.023683078305 & 14.5766952053376 \tabularnewline
0.6 & 792.73681579073 & 14.2994019011743 \tabularnewline
0.61 & 795.41915980219 & 14.1298149879139 \tabularnewline
0.62 & 798.087508767208 & 14.0489142058099 \tabularnewline
0.63 & 800.754525124345 & 14.0276616633056 \tabularnewline
0.64 & 803.427668713416 & 14.03059149772 \tabularnewline
0.65 & 806.108823089922 & 14.0215911216653 \tabularnewline
0.66 & 808.794792418926 & 13.9682601919891 \tabularnewline
0.67 & 811.478782374756 & 13.8488416971225 \tabularnewline
0.68 & 814.152884646864 & 13.6591302486504 \tabularnewline
0.69 & 816.81146682039 & 13.4111282799215 \tabularnewline
0.7 & 819.455239070733 & 13.1399275045758 \tabularnewline
0.71 & 822.095632325196 & 12.9074568874079 \tabularnewline
0.72 & 824.75897906106 & 12.7944382831854 \tabularnewline
0.73 & 827.4898393919 & 12.903126765332 \tabularnewline
0.74 & 830.352680712038 & 13.3438378645376 \tabularnewline
0.75 & 833.431051110367 & 14.2161181420671 \tabularnewline
0.76 & 836.823473699898 & 15.5834234081728 \tabularnewline
0.77 & 840.635635759696 & 17.4492461849573 \tabularnewline
0.78 & 844.969125678597 & 19.7455090563362 \tabularnewline
0.79 & 849.907956047998 & 22.3303482575236 \tabularnewline
0.8 & 855.505221365579 & 25.0027353431931 \tabularnewline
0.81 & 861.773127042272 & 27.5280146066457 \tabularnewline
0.82 & 868.679848895094 & 29.6758497245572 \tabularnewline
0.83 & 876.155844760399 & 31.2681803130146 \tabularnewline
0.84 & 884.110182178917 & 32.225200849999 \tabularnewline
0.85 & 892.454393008743 & 32.593318665627 \tabularnewline
0.86 & 901.127979453213 & 32.5470930967946 \tabularnewline
0.87 & 910.117018975433 & 32.3490739079296 \tabularnewline
0.88 & 919.456650711456 & 32.2670004414755 \tabularnewline
0.89 & 929.210979482385 & 32.4503120881902 \tabularnewline
0.9 & 939.43128078205 & 32.8245006332712 \tabularnewline
0.91 & 950.105355187027 & 33.054247816718 \tabularnewline
0.92 & 961.124377277646 & 32.6453407083941 \tabularnewline
0.93 & 972.299872596477 & 31.176484380451 \tabularnewline
0.94 & 983.448041335947 & 28.6070225564228 \tabularnewline
0.95 & 994.509592267401 & 25.4992939395726 \tabularnewline
0.96 & 1005.60075300058 & 22.8312007709008 \tabularnewline
0.97 & 1016.84532204364 & 20.9781157212575 \tabularnewline
0.98 & 1027.90255145548 & 18.7995322587833 \tabularnewline
0.99 & 1037.38927114745 & 15.4102082521172 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160757&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]428.76543678754[/C][C]39.2588265119486[/C][/ROW]
[ROW][C]0.02[/C][C]448.870201195458[/C][C]33.7687887721647[/C][/ROW]
[ROW][C]0.03[/C][C]469.151983080026[/C][C]32.3756320577416[/C][/ROW]
[ROW][C]0.04[/C][C]487.413616200797[/C][C]33.3363952857811[/C][/ROW]
[ROW][C]0.05[/C][C]503.757321377341[/C][C]34.4690340644278[/C][/ROW]
[ROW][C]0.06[/C][C]518.683578377361[/C][C]35.0155690324294[/C][/ROW]
[ROW][C]0.07[/C][C]532.463445724315[/C][C]34.8245608411856[/C][/ROW]
[ROW][C]0.08[/C][C]545.165328267351[/C][C]33.8941987626831[/C][/ROW]
[ROW][C]0.09[/C][C]556.788116287301[/C][C]32.3695415561277[/C][/ROW]
[ROW][C]0.1[/C][C]567.344793378508[/C][C]30.5386213483662[/C][/ROW]
[ROW][C]0.11[/C][C]576.895456643117[/C][C]28.7237963865981[/C][/ROW]
[ROW][C]0.12[/C][C]585.547392723334[/C][C]27.1606055501991[/C][/ROW]
[ROW][C]0.13[/C][C]593.43610774158[/C][C]25.9407291498388[/C][/ROW]
[ROW][C]0.14[/C][C]600.700520468466[/C][C]25.0295929958626[/C][/ROW]
[ROW][C]0.15[/C][C]607.463276587491[/C][C]24.3318671271488[/C][/ROW]
[ROW][C]0.16[/C][C]613.821540882464[/C][C]23.7581841280666[/C][/ROW]
[ROW][C]0.17[/C][C]619.847675467149[/C][C]23.2584403644093[/C][/ROW]
[ROW][C]0.18[/C][C]625.595733195603[/C][C]22.8240461768851[/C][/ROW]
[ROW][C]0.19[/C][C]631.109234992812[/C][C]22.4729597523342[/C][/ROW]
[ROW][C]0.2[/C][C]636.427166368407[/C][C]22.2264119712509[/C][/ROW]
[ROW][C]0.21[/C][C]641.587067833973[/C][C]22.10211042784[/C][/ROW]
[ROW][C]0.22[/C][C]646.625520432848[/C][C]22.1045664620959[/C][/ROW]
[ROW][C]0.23[/C][C]651.576937419069[/C][C]22.2256886067979[/C][/ROW]
[ROW][C]0.24[/C][C]656.471558109585[/C][C]22.4486282146358[/C][/ROW]
[ROW][C]0.25[/C][C]661.333269687088[/C][C]22.7423990324265[/C][/ROW]
[ROW][C]0.26[/C][C]666.177649948694[/C][C]23.0678272983692[/C][/ROW]
[ROW][C]0.27[/C][C]671.010536160658[/C][C]23.3710886459162[/C][/ROW]
[ROW][C]0.28[/C][C]675.827430349123[/C][C]23.5951616565002[/C][/ROW]
[ROW][C]0.29[/C][C]680.614033344224[/C][C]23.6872019741839[/C][/ROW]
[ROW][C]0.3[/C][C]685.348072794146[/C][C]23.6050216023913[/C][/ROW]
[ROW][C]0.31[/C][C]690.002348236982[/C][C]23.3280537157013[/C][/ROW]
[ROW][C]0.32[/C][C]694.54862850385[/C][C]22.8617509688784[/C][/ROW]
[ROW][C]0.33[/C][C]698.961805793551[/C][C]22.2392747992286[/C][/ROW]
[ROW][C]0.34[/C][C]703.223621145581[/C][C]21.5138261443688[/C][/ROW]
[ROW][C]0.35[/C][C]707.325358143128[/C][C]20.7507302142249[/C][/ROW]
[ROW][C]0.36[/C][C]711.269123935623[/C][C]20.0207928806082[/C][/ROW]
[ROW][C]0.37[/C][C]715.067624032139[/C][C]19.3862921674856[/C][/ROW]
[ROW][C]0.38[/C][C]718.742604160493[/C][C]18.8957352118538[/C][/ROW]
[ROW][C]0.39[/C][C]722.322314443645[/C][C]18.5790426850399[/C][/ROW]
[ROW][C]0.4[/C][C]725.838423534505[/C][C]18.4468266188281[/C][/ROW]
[ROW][C]0.41[/C][C]729.322788378767[/C][C]18.4888317047423[/C][/ROW]
[ROW][C]0.42[/C][C]732.804409158637[/C][C]18.6797486198531[/C][/ROW]
[ROW][C]0.43[/C][C]736.306812513976[/C][C]18.9808369033421[/C][/ROW]
[ROW][C]0.44[/C][C]739.846038414415[/C][C]19.3417142916924[/C][/ROW]
[ROW][C]0.45[/C][C]743.429362991309[/C][C]19.7075651980313[/C][/ROW]
[ROW][C]0.46[/C][C]747.054857274947[/C][C]20.0234435966975[/C][/ROW]
[ROW][C]0.47[/C][C]750.711838050206[/C][C]20.2366094614634[/C][/ROW]
[ROW][C]0.48[/C][C]754.382195842312[/C][C]20.3069385347375[/C][/ROW]
[ROW][C]0.49[/C][C]758.042486248269[/C][C]20.2095203959201[/C][/ROW]
[ROW][C]0.5[/C][C]761.666562169654[/C][C]19.9353415993895[/C][/ROW]
[ROW][C]0.51[/C][C]765.228434983505[/C][C]19.4968194515393[/C][/ROW]
[ROW][C]0.52[/C][C]768.705010751819[/C][C]18.9206591245976[/C][/ROW]
[ROW][C]0.53[/C][C]772.078369235822[/C][C]18.2450134024164[/C][/ROW]
[ROW][C]0.54[/C][C]775.337335489881[/C][C]17.5185920902111[/C][/ROW]
[ROW][C]0.55[/C][C]778.47821455509[/C][C]16.7894797772843[/C][/ROW]
[ROW][C]0.56[/C][C]781.50468747171[/C][C]16.0989153599791[/C][/ROW]
[ROW][C]0.57[/C][C]784.426971385653[/C][C]15.4854844072073[/C][/ROW]
[ROW][C]0.58[/C][C]787.260410075144[/C][C]14.9734257611195[/C][/ROW]
[ROW][C]0.59[/C][C]790.023683078305[/C][C]14.5766952053376[/C][/ROW]
[ROW][C]0.6[/C][C]792.73681579073[/C][C]14.2994019011743[/C][/ROW]
[ROW][C]0.61[/C][C]795.41915980219[/C][C]14.1298149879139[/C][/ROW]
[ROW][C]0.62[/C][C]798.087508767208[/C][C]14.0489142058099[/C][/ROW]
[ROW][C]0.63[/C][C]800.754525124345[/C][C]14.0276616633056[/C][/ROW]
[ROW][C]0.64[/C][C]803.427668713416[/C][C]14.03059149772[/C][/ROW]
[ROW][C]0.65[/C][C]806.108823089922[/C][C]14.0215911216653[/C][/ROW]
[ROW][C]0.66[/C][C]808.794792418926[/C][C]13.9682601919891[/C][/ROW]
[ROW][C]0.67[/C][C]811.478782374756[/C][C]13.8488416971225[/C][/ROW]
[ROW][C]0.68[/C][C]814.152884646864[/C][C]13.6591302486504[/C][/ROW]
[ROW][C]0.69[/C][C]816.81146682039[/C][C]13.4111282799215[/C][/ROW]
[ROW][C]0.7[/C][C]819.455239070733[/C][C]13.1399275045758[/C][/ROW]
[ROW][C]0.71[/C][C]822.095632325196[/C][C]12.9074568874079[/C][/ROW]
[ROW][C]0.72[/C][C]824.75897906106[/C][C]12.7944382831854[/C][/ROW]
[ROW][C]0.73[/C][C]827.4898393919[/C][C]12.903126765332[/C][/ROW]
[ROW][C]0.74[/C][C]830.352680712038[/C][C]13.3438378645376[/C][/ROW]
[ROW][C]0.75[/C][C]833.431051110367[/C][C]14.2161181420671[/C][/ROW]
[ROW][C]0.76[/C][C]836.823473699898[/C][C]15.5834234081728[/C][/ROW]
[ROW][C]0.77[/C][C]840.635635759696[/C][C]17.4492461849573[/C][/ROW]
[ROW][C]0.78[/C][C]844.969125678597[/C][C]19.7455090563362[/C][/ROW]
[ROW][C]0.79[/C][C]849.907956047998[/C][C]22.3303482575236[/C][/ROW]
[ROW][C]0.8[/C][C]855.505221365579[/C][C]25.0027353431931[/C][/ROW]
[ROW][C]0.81[/C][C]861.773127042272[/C][C]27.5280146066457[/C][/ROW]
[ROW][C]0.82[/C][C]868.679848895094[/C][C]29.6758497245572[/C][/ROW]
[ROW][C]0.83[/C][C]876.155844760399[/C][C]31.2681803130146[/C][/ROW]
[ROW][C]0.84[/C][C]884.110182178917[/C][C]32.225200849999[/C][/ROW]
[ROW][C]0.85[/C][C]892.454393008743[/C][C]32.593318665627[/C][/ROW]
[ROW][C]0.86[/C][C]901.127979453213[/C][C]32.5470930967946[/C][/ROW]
[ROW][C]0.87[/C][C]910.117018975433[/C][C]32.3490739079296[/C][/ROW]
[ROW][C]0.88[/C][C]919.456650711456[/C][C]32.2670004414755[/C][/ROW]
[ROW][C]0.89[/C][C]929.210979482385[/C][C]32.4503120881902[/C][/ROW]
[ROW][C]0.9[/C][C]939.43128078205[/C][C]32.8245006332712[/C][/ROW]
[ROW][C]0.91[/C][C]950.105355187027[/C][C]33.054247816718[/C][/ROW]
[ROW][C]0.92[/C][C]961.124377277646[/C][C]32.6453407083941[/C][/ROW]
[ROW][C]0.93[/C][C]972.299872596477[/C][C]31.176484380451[/C][/ROW]
[ROW][C]0.94[/C][C]983.448041335947[/C][C]28.6070225564228[/C][/ROW]
[ROW][C]0.95[/C][C]994.509592267401[/C][C]25.4992939395726[/C][/ROW]
[ROW][C]0.96[/C][C]1005.60075300058[/C][C]22.8312007709008[/C][/ROW]
[ROW][C]0.97[/C][C]1016.84532204364[/C][C]20.9781157212575[/C][/ROW]
[ROW][C]0.98[/C][C]1027.90255145548[/C][C]18.7995322587833[/C][/ROW]
[ROW][C]0.99[/C][C]1037.38927114745[/C][C]15.4102082521172[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160757&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160757&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
0.01428.7654367875439.2588265119486
0.02448.87020119545833.7687887721647
0.03469.15198308002632.3756320577416
0.04487.41361620079733.3363952857811
0.05503.75732137734134.4690340644278
0.06518.68357837736135.0155690324294
0.07532.46344572431534.8245608411856
0.08545.16532826735133.8941987626831
0.09556.78811628730132.3695415561277
0.1567.34479337850830.5386213483662
0.11576.89545664311728.7237963865981
0.12585.54739272333427.1606055501991
0.13593.4361077415825.9407291498388
0.14600.70052046846625.0295929958626
0.15607.46327658749124.3318671271488
0.16613.82154088246423.7581841280666
0.17619.84767546714923.2584403644093
0.18625.59573319560322.8240461768851
0.19631.10923499281222.4729597523342
0.2636.42716636840722.2264119712509
0.21641.58706783397322.10211042784
0.22646.62552043284822.1045664620959
0.23651.57693741906922.2256886067979
0.24656.47155810958522.4486282146358
0.25661.33326968708822.7423990324265
0.26666.17764994869423.0678272983692
0.27671.01053616065823.3710886459162
0.28675.82743034912323.5951616565002
0.29680.61403334422423.6872019741839
0.3685.34807279414623.6050216023913
0.31690.00234823698223.3280537157013
0.32694.5486285038522.8617509688784
0.33698.96180579355122.2392747992286
0.34703.22362114558121.5138261443688
0.35707.32535814312820.7507302142249
0.36711.26912393562320.0207928806082
0.37715.06762403213919.3862921674856
0.38718.74260416049318.8957352118538
0.39722.32231444364518.5790426850399
0.4725.83842353450518.4468266188281
0.41729.32278837876718.4888317047423
0.42732.80440915863718.6797486198531
0.43736.30681251397618.9808369033421
0.44739.84603841441519.3417142916924
0.45743.42936299130919.7075651980313
0.46747.05485727494720.0234435966975
0.47750.71183805020620.2366094614634
0.48754.38219584231220.3069385347375
0.49758.04248624826920.2095203959201
0.5761.66656216965419.9353415993895
0.51765.22843498350519.4968194515393
0.52768.70501075181918.9206591245976
0.53772.07836923582218.2450134024164
0.54775.33733548988117.5185920902111
0.55778.4782145550916.7894797772843
0.56781.5046874717116.0989153599791
0.57784.42697138565315.4854844072073
0.58787.26041007514414.9734257611195
0.59790.02368307830514.5766952053376
0.6792.7368157907314.2994019011743
0.61795.4191598021914.1298149879139
0.62798.08750876720814.0489142058099
0.63800.75452512434514.0276616633056
0.64803.42766871341614.03059149772
0.65806.10882308992214.0215911216653
0.66808.79479241892613.9682601919891
0.67811.47878237475613.8488416971225
0.68814.15288464686413.6591302486504
0.69816.8114668203913.4111282799215
0.7819.45523907073313.1399275045758
0.71822.09563232519612.9074568874079
0.72824.7589790610612.7944382831854
0.73827.489839391912.903126765332
0.74830.35268071203813.3438378645376
0.75833.43105111036714.2161181420671
0.76836.82347369989815.5834234081728
0.77840.63563575969617.4492461849573
0.78844.96912567859719.7455090563362
0.79849.90795604799822.3303482575236
0.8855.50522136557925.0027353431931
0.81861.77312704227227.5280146066457
0.82868.67984889509429.6758497245572
0.83876.15584476039931.2681803130146
0.84884.11018217891732.225200849999
0.85892.45439300874332.593318665627
0.86901.12797945321332.5470930967946
0.87910.11701897543332.3490739079296
0.88919.45665071145632.2670004414755
0.89929.21097948238532.4503120881902
0.9939.4312807820532.8245006332712
0.91950.10535518702733.054247816718
0.92961.12437727764632.6453407083941
0.93972.29987259647731.176484380451
0.94983.44804133594728.6070225564228
0.95994.50959226740125.4992939395726
0.961005.6007530005822.8312007709008
0.971016.8453220436420.9781157212575
0.981027.9025514554818.7995322587833
0.991037.3892711474515.4102082521172


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')