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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 08 Oct 2015 22:42:12 +0100
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/Oct/08/t1444340569156n73izyspuknj.htm/, Retrieved Thu, 16 May 2024 00:16:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281681, Retrieved Thu, 16 May 2024 00:16:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact76

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] [Percentielen - Fa...] [2015-10-08 21:42:12] [e4113772e8352caea1c7944bf41cc9e0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
789
811
996
778
603
990
735
800
706
766
870
647
726
784
884
696
893
674
703
799
793
799
1022
758
1021
944
915
864
1022
891
1087
822
890
1092
967
833
1104
1063
1103
1039
1185
1047
1155
878
879
1133
920
943
938
900
781
1040
792
653
866
679
799
760
699
762

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=281681&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=281681&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281681&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
0.01612.52724914850936.6164914254168
0.02626.01638857906728.4628453085054
0.03639.46751835556722.489126288087
0.04651.01429629196219.7378353271793
0.05660.54117165259818.9535406121908
0.06668.57572046564418.7264496095467
0.07675.62680572435418.4901519012307
0.08682.02093206452318.2429518284381
0.09687.95611678219118.1718739182131
0.1693.57801985215218.4584041775174
0.11699.01666233833119.1843744854635
0.12704.38878382528920.2963324879634
0.13709.78544699019421.6314758692222
0.14715.259513151122.9667817922268
0.15720.82012474003124.0860815004232
0.16726.43591246185224.823883120177
0.17732.04536345099625.09037299541
0.18737.57111709199324.8728162364579
0.19742.93458226572224.2266826142793
0.2748.06790487658323.2511719433064
0.21752.92155075727122.0682130850783
0.22757.46714084811520.7920161333084
0.23761.69629448639319.5171425516546
0.24765.61688576761518.3083490238549
0.25769.24826641245517.2019274583357
0.26772.6167644179116.2127239237025
0.27775.75230493239915.3439497320602
0.28778.68649067857314.5975119471979
0.29781.45205057469413.9829904026896
0.3784.08328164683713.5205525751545
0.31786.61697988328113.2409443130742
0.32789.09335298535513.18412817008
0.33791.5564902072513.3909700851603
0.34794.05409241567413.9001551935743
0.35796.63631106845814.7299601954501
0.36799.35369169170215.8795874074213
0.37802.25435661429317.3223350803569
0.38805.38068577201119.0060752227085
0.39808.76585358318220.8552516581618
0.4812.4306416084722.7765962165165
0.41816.38095807528124.6667468623061
0.42820.60644768554326.4170729600747
0.43825.08046821601427.9274003568717
0.44829.76155492650629.1090501272631
0.45834.59631077234929.8991585956038
0.46839.52347788430430.2633965463027
0.47844.47879315643530.1975577278227
0.48849.40013274348929.7331418936462
0.49854.23242158305428.929348253892
0.5858.93182677589627.8715838028938
0.51863.46885729872826.6596119488782
0.52867.83013706689825.4021169705108
0.53872.01877911009924.2083193742152
0.54876.05344151197923.1786025240947
0.55879.96627173016522.3968597548456
0.56883.80003327510321.9240343799806
0.57887.60475330590721.7960810326672
0.58891.4342331488422.0193802719928
0.59895.34273109044622.5746679354865
0.6899.38206441021123.4245376009342
0.61903.59929241134824.517679888139
0.62908.03504228793425.8005844352044
0.63912.72243580017327.2162138822528
0.64917.68648146298928.7141049177758
0.65922.94373208489230.2462420509514
0.66928.50198910723731.7672847201068
0.67934.35987643271633.2300989001727
0.68940.50620935643734.5870104082722
0.69946.91923496240935.7815321312195
0.7953.56598801637836.7524591202413
0.71960.40214725604137.4342438545849
0.72967.37284412452137.7666150388637
0.73974.41483219792737.7013830920972
0.74981.46025579621937.2145866825273
0.75988.44197537161236.3127593539841
0.76995.3000595509335.0434678105354
0.771001.9887040237733.493678471363
0.781008.4825568003931.7855742125487
0.791014.7812807428230.0679937054206
0.81020.9112150333428.4986887849316
0.811026.9232400826727.2222615301517
0.821032.8864291572926.3413746766477
0.831038.8777996242625.8930805965469
0.841044.9694443254425.8255958857396
0.851051.2154445859626.0014189274551
0.861057.6420237915426.2233762144121
0.871064.2449970278826.2811252106512
0.881070.9981442306926.0079387885402
0.891077.8740927782525.343273500876
0.91084.8753633401824.3843550518302
0.911092.0679949761823.4030091918348
0.921099.6056324246622.7993917894954
0.931107.7313859081822.9339122602281
0.941116.7501756584323.8681755336114
0.951126.9703864978725.2212234274722
0.961138.6025938347926.3634190612838
0.971151.5586985700626.9119549845358
0.981165.0659740773827.2381981039555
0.991177.1943824616128.1766123215201

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 612.527249148509 & 36.6164914254168 \tabularnewline
0.02 & 626.016388579067 & 28.4628453085054 \tabularnewline
0.03 & 639.467518355567 & 22.489126288087 \tabularnewline
0.04 & 651.014296291962 & 19.7378353271793 \tabularnewline
0.05 & 660.541171652598 & 18.9535406121908 \tabularnewline
0.06 & 668.575720465644 & 18.7264496095467 \tabularnewline
0.07 & 675.626805724354 & 18.4901519012307 \tabularnewline
0.08 & 682.020932064523 & 18.2429518284381 \tabularnewline
0.09 & 687.956116782191 & 18.1718739182131 \tabularnewline
0.1 & 693.578019852152 & 18.4584041775174 \tabularnewline
0.11 & 699.016662338331 & 19.1843744854635 \tabularnewline
0.12 & 704.388783825289 & 20.2963324879634 \tabularnewline
0.13 & 709.785446990194 & 21.6314758692222 \tabularnewline
0.14 & 715.2595131511 & 22.9667817922268 \tabularnewline
0.15 & 720.820124740031 & 24.0860815004232 \tabularnewline
0.16 & 726.435912461852 & 24.823883120177 \tabularnewline
0.17 & 732.045363450996 & 25.09037299541 \tabularnewline
0.18 & 737.571117091993 & 24.8728162364579 \tabularnewline
0.19 & 742.934582265722 & 24.2266826142793 \tabularnewline
0.2 & 748.067904876583 & 23.2511719433064 \tabularnewline
0.21 & 752.921550757271 & 22.0682130850783 \tabularnewline
0.22 & 757.467140848115 & 20.7920161333084 \tabularnewline
0.23 & 761.696294486393 & 19.5171425516546 \tabularnewline
0.24 & 765.616885767615 & 18.3083490238549 \tabularnewline
0.25 & 769.248266412455 & 17.2019274583357 \tabularnewline
0.26 & 772.61676441791 & 16.2127239237025 \tabularnewline
0.27 & 775.752304932399 & 15.3439497320602 \tabularnewline
0.28 & 778.686490678573 & 14.5975119471979 \tabularnewline
0.29 & 781.452050574694 & 13.9829904026896 \tabularnewline
0.3 & 784.083281646837 & 13.5205525751545 \tabularnewline
0.31 & 786.616979883281 & 13.2409443130742 \tabularnewline
0.32 & 789.093352985355 & 13.18412817008 \tabularnewline
0.33 & 791.55649020725 & 13.3909700851603 \tabularnewline
0.34 & 794.054092415674 & 13.9001551935743 \tabularnewline
0.35 & 796.636311068458 & 14.7299601954501 \tabularnewline
0.36 & 799.353691691702 & 15.8795874074213 \tabularnewline
0.37 & 802.254356614293 & 17.3223350803569 \tabularnewline
0.38 & 805.380685772011 & 19.0060752227085 \tabularnewline
0.39 & 808.765853583182 & 20.8552516581618 \tabularnewline
0.4 & 812.43064160847 & 22.7765962165165 \tabularnewline
0.41 & 816.380958075281 & 24.6667468623061 \tabularnewline
0.42 & 820.606447685543 & 26.4170729600747 \tabularnewline
0.43 & 825.080468216014 & 27.9274003568717 \tabularnewline
0.44 & 829.761554926506 & 29.1090501272631 \tabularnewline
0.45 & 834.596310772349 & 29.8991585956038 \tabularnewline
0.46 & 839.523477884304 & 30.2633965463027 \tabularnewline
0.47 & 844.478793156435 & 30.1975577278227 \tabularnewline
0.48 & 849.400132743489 & 29.7331418936462 \tabularnewline
0.49 & 854.232421583054 & 28.929348253892 \tabularnewline
0.5 & 858.931826775896 & 27.8715838028938 \tabularnewline
0.51 & 863.468857298728 & 26.6596119488782 \tabularnewline
0.52 & 867.830137066898 & 25.4021169705108 \tabularnewline
0.53 & 872.018779110099 & 24.2083193742152 \tabularnewline
0.54 & 876.053441511979 & 23.1786025240947 \tabularnewline
0.55 & 879.966271730165 & 22.3968597548456 \tabularnewline
0.56 & 883.800033275103 & 21.9240343799806 \tabularnewline
0.57 & 887.604753305907 & 21.7960810326672 \tabularnewline
0.58 & 891.43423314884 & 22.0193802719928 \tabularnewline
0.59 & 895.342731090446 & 22.5746679354865 \tabularnewline
0.6 & 899.382064410211 & 23.4245376009342 \tabularnewline
0.61 & 903.599292411348 & 24.517679888139 \tabularnewline
0.62 & 908.035042287934 & 25.8005844352044 \tabularnewline
0.63 & 912.722435800173 & 27.2162138822528 \tabularnewline
0.64 & 917.686481462989 & 28.7141049177758 \tabularnewline
0.65 & 922.943732084892 & 30.2462420509514 \tabularnewline
0.66 & 928.501989107237 & 31.7672847201068 \tabularnewline
0.67 & 934.359876432716 & 33.2300989001727 \tabularnewline
0.68 & 940.506209356437 & 34.5870104082722 \tabularnewline
0.69 & 946.919234962409 & 35.7815321312195 \tabularnewline
0.7 & 953.565988016378 & 36.7524591202413 \tabularnewline
0.71 & 960.402147256041 & 37.4342438545849 \tabularnewline
0.72 & 967.372844124521 & 37.7666150388637 \tabularnewline
0.73 & 974.414832197927 & 37.7013830920972 \tabularnewline
0.74 & 981.460255796219 & 37.2145866825273 \tabularnewline
0.75 & 988.441975371612 & 36.3127593539841 \tabularnewline
0.76 & 995.30005955093 & 35.0434678105354 \tabularnewline
0.77 & 1001.98870402377 & 33.493678471363 \tabularnewline
0.78 & 1008.48255680039 & 31.7855742125487 \tabularnewline
0.79 & 1014.78128074282 & 30.0679937054206 \tabularnewline
0.8 & 1020.91121503334 & 28.4986887849316 \tabularnewline
0.81 & 1026.92324008267 & 27.2222615301517 \tabularnewline
0.82 & 1032.88642915729 & 26.3413746766477 \tabularnewline
0.83 & 1038.87779962426 & 25.8930805965469 \tabularnewline
0.84 & 1044.96944432544 & 25.8255958857396 \tabularnewline
0.85 & 1051.21544458596 & 26.0014189274551 \tabularnewline
0.86 & 1057.64202379154 & 26.2233762144121 \tabularnewline
0.87 & 1064.24499702788 & 26.2811252106512 \tabularnewline
0.88 & 1070.99814423069 & 26.0079387885402 \tabularnewline
0.89 & 1077.87409277825 & 25.343273500876 \tabularnewline
0.9 & 1084.87536334018 & 24.3843550518302 \tabularnewline
0.91 & 1092.06799497618 & 23.4030091918348 \tabularnewline
0.92 & 1099.60563242466 & 22.7993917894954 \tabularnewline
0.93 & 1107.73138590818 & 22.9339122602281 \tabularnewline
0.94 & 1116.75017565843 & 23.8681755336114 \tabularnewline
0.95 & 1126.97038649787 & 25.2212234274722 \tabularnewline
0.96 & 1138.60259383479 & 26.3634190612838 \tabularnewline
0.97 & 1151.55869857006 & 26.9119549845358 \tabularnewline
0.98 & 1165.06597407738 & 27.2381981039555 \tabularnewline
0.99 & 1177.19438246161 & 28.1766123215201 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281681&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]612.527249148509[/C][C]36.6164914254168[/C][/ROW]
[ROW][C]0.02[/C][C]626.016388579067[/C][C]28.4628453085054[/C][/ROW]
[ROW][C]0.03[/C][C]639.467518355567[/C][C]22.489126288087[/C][/ROW]
[ROW][C]0.04[/C][C]651.014296291962[/C][C]19.7378353271793[/C][/ROW]
[ROW][C]0.05[/C][C]660.541171652598[/C][C]18.9535406121908[/C][/ROW]
[ROW][C]0.06[/C][C]668.575720465644[/C][C]18.7264496095467[/C][/ROW]
[ROW][C]0.07[/C][C]675.626805724354[/C][C]18.4901519012307[/C][/ROW]
[ROW][C]0.08[/C][C]682.020932064523[/C][C]18.2429518284381[/C][/ROW]
[ROW][C]0.09[/C][C]687.956116782191[/C][C]18.1718739182131[/C][/ROW]
[ROW][C]0.1[/C][C]693.578019852152[/C][C]18.4584041775174[/C][/ROW]
[ROW][C]0.11[/C][C]699.016662338331[/C][C]19.1843744854635[/C][/ROW]
[ROW][C]0.12[/C][C]704.388783825289[/C][C]20.2963324879634[/C][/ROW]
[ROW][C]0.13[/C][C]709.785446990194[/C][C]21.6314758692222[/C][/ROW]
[ROW][C]0.14[/C][C]715.2595131511[/C][C]22.9667817922268[/C][/ROW]
[ROW][C]0.15[/C][C]720.820124740031[/C][C]24.0860815004232[/C][/ROW]
[ROW][C]0.16[/C][C]726.435912461852[/C][C]24.823883120177[/C][/ROW]
[ROW][C]0.17[/C][C]732.045363450996[/C][C]25.09037299541[/C][/ROW]
[ROW][C]0.18[/C][C]737.571117091993[/C][C]24.8728162364579[/C][/ROW]
[ROW][C]0.19[/C][C]742.934582265722[/C][C]24.2266826142793[/C][/ROW]
[ROW][C]0.2[/C][C]748.067904876583[/C][C]23.2511719433064[/C][/ROW]
[ROW][C]0.21[/C][C]752.921550757271[/C][C]22.0682130850783[/C][/ROW]
[ROW][C]0.22[/C][C]757.467140848115[/C][C]20.7920161333084[/C][/ROW]
[ROW][C]0.23[/C][C]761.696294486393[/C][C]19.5171425516546[/C][/ROW]
[ROW][C]0.24[/C][C]765.616885767615[/C][C]18.3083490238549[/C][/ROW]
[ROW][C]0.25[/C][C]769.248266412455[/C][C]17.2019274583357[/C][/ROW]
[ROW][C]0.26[/C][C]772.61676441791[/C][C]16.2127239237025[/C][/ROW]
[ROW][C]0.27[/C][C]775.752304932399[/C][C]15.3439497320602[/C][/ROW]
[ROW][C]0.28[/C][C]778.686490678573[/C][C]14.5975119471979[/C][/ROW]
[ROW][C]0.29[/C][C]781.452050574694[/C][C]13.9829904026896[/C][/ROW]
[ROW][C]0.3[/C][C]784.083281646837[/C][C]13.5205525751545[/C][/ROW]
[ROW][C]0.31[/C][C]786.616979883281[/C][C]13.2409443130742[/C][/ROW]
[ROW][C]0.32[/C][C]789.093352985355[/C][C]13.18412817008[/C][/ROW]
[ROW][C]0.33[/C][C]791.55649020725[/C][C]13.3909700851603[/C][/ROW]
[ROW][C]0.34[/C][C]794.054092415674[/C][C]13.9001551935743[/C][/ROW]
[ROW][C]0.35[/C][C]796.636311068458[/C][C]14.7299601954501[/C][/ROW]
[ROW][C]0.36[/C][C]799.353691691702[/C][C]15.8795874074213[/C][/ROW]
[ROW][C]0.37[/C][C]802.254356614293[/C][C]17.3223350803569[/C][/ROW]
[ROW][C]0.38[/C][C]805.380685772011[/C][C]19.0060752227085[/C][/ROW]
[ROW][C]0.39[/C][C]808.765853583182[/C][C]20.8552516581618[/C][/ROW]
[ROW][C]0.4[/C][C]812.43064160847[/C][C]22.7765962165165[/C][/ROW]
[ROW][C]0.41[/C][C]816.380958075281[/C][C]24.6667468623061[/C][/ROW]
[ROW][C]0.42[/C][C]820.606447685543[/C][C]26.4170729600747[/C][/ROW]
[ROW][C]0.43[/C][C]825.080468216014[/C][C]27.9274003568717[/C][/ROW]
[ROW][C]0.44[/C][C]829.761554926506[/C][C]29.1090501272631[/C][/ROW]
[ROW][C]0.45[/C][C]834.596310772349[/C][C]29.8991585956038[/C][/ROW]
[ROW][C]0.46[/C][C]839.523477884304[/C][C]30.2633965463027[/C][/ROW]
[ROW][C]0.47[/C][C]844.478793156435[/C][C]30.1975577278227[/C][/ROW]
[ROW][C]0.48[/C][C]849.400132743489[/C][C]29.7331418936462[/C][/ROW]
[ROW][C]0.49[/C][C]854.232421583054[/C][C]28.929348253892[/C][/ROW]
[ROW][C]0.5[/C][C]858.931826775896[/C][C]27.8715838028938[/C][/ROW]
[ROW][C]0.51[/C][C]863.468857298728[/C][C]26.6596119488782[/C][/ROW]
[ROW][C]0.52[/C][C]867.830137066898[/C][C]25.4021169705108[/C][/ROW]
[ROW][C]0.53[/C][C]872.018779110099[/C][C]24.2083193742152[/C][/ROW]
[ROW][C]0.54[/C][C]876.053441511979[/C][C]23.1786025240947[/C][/ROW]
[ROW][C]0.55[/C][C]879.966271730165[/C][C]22.3968597548456[/C][/ROW]
[ROW][C]0.56[/C][C]883.800033275103[/C][C]21.9240343799806[/C][/ROW]
[ROW][C]0.57[/C][C]887.604753305907[/C][C]21.7960810326672[/C][/ROW]
[ROW][C]0.58[/C][C]891.43423314884[/C][C]22.0193802719928[/C][/ROW]
[ROW][C]0.59[/C][C]895.342731090446[/C][C]22.5746679354865[/C][/ROW]
[ROW][C]0.6[/C][C]899.382064410211[/C][C]23.4245376009342[/C][/ROW]
[ROW][C]0.61[/C][C]903.599292411348[/C][C]24.517679888139[/C][/ROW]
[ROW][C]0.62[/C][C]908.035042287934[/C][C]25.8005844352044[/C][/ROW]
[ROW][C]0.63[/C][C]912.722435800173[/C][C]27.2162138822528[/C][/ROW]
[ROW][C]0.64[/C][C]917.686481462989[/C][C]28.7141049177758[/C][/ROW]
[ROW][C]0.65[/C][C]922.943732084892[/C][C]30.2462420509514[/C][/ROW]
[ROW][C]0.66[/C][C]928.501989107237[/C][C]31.7672847201068[/C][/ROW]
[ROW][C]0.67[/C][C]934.359876432716[/C][C]33.2300989001727[/C][/ROW]
[ROW][C]0.68[/C][C]940.506209356437[/C][C]34.5870104082722[/C][/ROW]
[ROW][C]0.69[/C][C]946.919234962409[/C][C]35.7815321312195[/C][/ROW]
[ROW][C]0.7[/C][C]953.565988016378[/C][C]36.7524591202413[/C][/ROW]
[ROW][C]0.71[/C][C]960.402147256041[/C][C]37.4342438545849[/C][/ROW]
[ROW][C]0.72[/C][C]967.372844124521[/C][C]37.7666150388637[/C][/ROW]
[ROW][C]0.73[/C][C]974.414832197927[/C][C]37.7013830920972[/C][/ROW]
[ROW][C]0.74[/C][C]981.460255796219[/C][C]37.2145866825273[/C][/ROW]
[ROW][C]0.75[/C][C]988.441975371612[/C][C]36.3127593539841[/C][/ROW]
[ROW][C]0.76[/C][C]995.30005955093[/C][C]35.0434678105354[/C][/ROW]
[ROW][C]0.77[/C][C]1001.98870402377[/C][C]33.493678471363[/C][/ROW]
[ROW][C]0.78[/C][C]1008.48255680039[/C][C]31.7855742125487[/C][/ROW]
[ROW][C]0.79[/C][C]1014.78128074282[/C][C]30.0679937054206[/C][/ROW]
[ROW][C]0.8[/C][C]1020.91121503334[/C][C]28.4986887849316[/C][/ROW]
[ROW][C]0.81[/C][C]1026.92324008267[/C][C]27.2222615301517[/C][/ROW]
[ROW][C]0.82[/C][C]1032.88642915729[/C][C]26.3413746766477[/C][/ROW]
[ROW][C]0.83[/C][C]1038.87779962426[/C][C]25.8930805965469[/C][/ROW]
[ROW][C]0.84[/C][C]1044.96944432544[/C][C]25.8255958857396[/C][/ROW]
[ROW][C]0.85[/C][C]1051.21544458596[/C][C]26.0014189274551[/C][/ROW]
[ROW][C]0.86[/C][C]1057.64202379154[/C][C]26.2233762144121[/C][/ROW]
[ROW][C]0.87[/C][C]1064.24499702788[/C][C]26.2811252106512[/C][/ROW]
[ROW][C]0.88[/C][C]1070.99814423069[/C][C]26.0079387885402[/C][/ROW]
[ROW][C]0.89[/C][C]1077.87409277825[/C][C]25.343273500876[/C][/ROW]
[ROW][C]0.9[/C][C]1084.87536334018[/C][C]24.3843550518302[/C][/ROW]
[ROW][C]0.91[/C][C]1092.06799497618[/C][C]23.4030091918348[/C][/ROW]
[ROW][C]0.92[/C][C]1099.60563242466[/C][C]22.7993917894954[/C][/ROW]
[ROW][C]0.93[/C][C]1107.73138590818[/C][C]22.9339122602281[/C][/ROW]
[ROW][C]0.94[/C][C]1116.75017565843[/C][C]23.8681755336114[/C][/ROW]
[ROW][C]0.95[/C][C]1126.97038649787[/C][C]25.2212234274722[/C][/ROW]
[ROW][C]0.96[/C][C]1138.60259383479[/C][C]26.3634190612838[/C][/ROW]
[ROW][C]0.97[/C][C]1151.55869857006[/C][C]26.9119549845358[/C][/ROW]
[ROW][C]0.98[/C][C]1165.06597407738[/C][C]27.2381981039555[/C][/ROW]
[ROW][C]0.99[/C][C]1177.19438246161[/C][C]28.1766123215201[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281681&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281681&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
0.01612.52724914850936.6164914254168
0.02626.01638857906728.4628453085054
0.03639.46751835556722.489126288087
0.04651.01429629196219.7378353271793
0.05660.54117165259818.9535406121908
0.06668.57572046564418.7264496095467
0.07675.62680572435418.4901519012307
0.08682.02093206452318.2429518284381
0.09687.95611678219118.1718739182131
0.1693.57801985215218.4584041775174
0.11699.01666233833119.1843744854635
0.12704.38878382528920.2963324879634
0.13709.78544699019421.6314758692222
0.14715.259513151122.9667817922268
0.15720.82012474003124.0860815004232
0.16726.43591246185224.823883120177
0.17732.04536345099625.09037299541
0.18737.57111709199324.8728162364579
0.19742.93458226572224.2266826142793
0.2748.06790487658323.2511719433064
0.21752.92155075727122.0682130850783
0.22757.46714084811520.7920161333084
0.23761.69629448639319.5171425516546
0.24765.61688576761518.3083490238549
0.25769.24826641245517.2019274583357
0.26772.6167644179116.2127239237025
0.27775.75230493239915.3439497320602
0.28778.68649067857314.5975119471979
0.29781.45205057469413.9829904026896
0.3784.08328164683713.5205525751545
0.31786.61697988328113.2409443130742
0.32789.09335298535513.18412817008
0.33791.5564902072513.3909700851603
0.34794.05409241567413.9001551935743
0.35796.63631106845814.7299601954501
0.36799.35369169170215.8795874074213
0.37802.25435661429317.3223350803569
0.38805.38068577201119.0060752227085
0.39808.76585358318220.8552516581618
0.4812.4306416084722.7765962165165
0.41816.38095807528124.6667468623061
0.42820.60644768554326.4170729600747
0.43825.08046821601427.9274003568717
0.44829.76155492650629.1090501272631
0.45834.59631077234929.8991585956038
0.46839.52347788430430.2633965463027
0.47844.47879315643530.1975577278227
0.48849.40013274348929.7331418936462
0.49854.23242158305428.929348253892
0.5858.93182677589627.8715838028938
0.51863.46885729872826.6596119488782
0.52867.83013706689825.4021169705108
0.53872.01877911009924.2083193742152
0.54876.05344151197923.1786025240947
0.55879.96627173016522.3968597548456
0.56883.80003327510321.9240343799806
0.57887.60475330590721.7960810326672
0.58891.4342331488422.0193802719928
0.59895.34273109044622.5746679354865
0.6899.38206441021123.4245376009342
0.61903.59929241134824.517679888139
0.62908.03504228793425.8005844352044
0.63912.72243580017327.2162138822528
0.64917.68648146298928.7141049177758
0.65922.94373208489230.2462420509514
0.66928.50198910723731.7672847201068
0.67934.35987643271633.2300989001727
0.68940.50620935643734.5870104082722
0.69946.91923496240935.7815321312195
0.7953.56598801637836.7524591202413
0.71960.40214725604137.4342438545849
0.72967.37284412452137.7666150388637
0.73974.41483219792737.7013830920972
0.74981.46025579621937.2145866825273
0.75988.44197537161236.3127593539841
0.76995.3000595509335.0434678105354
0.771001.9887040237733.493678471363
0.781008.4825568003931.7855742125487
0.791014.7812807428230.0679937054206
0.81020.9112150333428.4986887849316
0.811026.9232400826727.2222615301517
0.821032.8864291572926.3413746766477
0.831038.8777996242625.8930805965469
0.841044.9694443254425.8255958857396
0.851051.2154445859626.0014189274551
0.861057.6420237915426.2233762144121
0.871064.2449970278826.2811252106512
0.881070.9981442306926.0079387885402
0.891077.8740927782525.343273500876
0.91084.8753633401824.3843550518302
0.911092.0679949761823.4030091918348
0.921099.6056324246622.7993917894954
0.931107.7313859081822.9339122602281
0.941116.7501756584323.8681755336114
0.951126.9703864978725.2212234274722
0.961138.6025938347926.3634190612838
0.971151.5586985700626.9119549845358
0.981165.0659740773827.2381981039555
0.991177.1943824616128.1766123215201


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')