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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 08 Oct 2014 09:22:32 +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/2014/Oct/08/t1412756585bmpdi8ozm10c3ul.htm/, Retrieved Sat, 11 May 2024 22:20:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=239444, Retrieved Sat, 11 May 2024 22:20:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2014-10-08 08:22:32] [4b199ad8119df16cb977784959786033] [Current]
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Dataseries X:
1.11
1.11
1.2
1.21
1.31
1.37
1.37
1.26
1.23
1.17
1.06
0.95
0.92
0.92
0.9
0.93
0.93
0.97
0.96
0.99
0.98
0.96
1
0.99
1.03
1.02
1.07
1.13
1.15
1.16
1.14
1.15
1.15
1.16
1.17
1.22
1.26
1.29
1.36
1.38
1.37
1.37
1.37
1.36
1.38
1.4
1.44
1.42
1.45
1.45
1.49
1.48
1.44
1.39
1.41
1.48
1.51
1.49
1.46
1.43
1.42
1.43
1.42
1.39
1.36
1.36
1.39
1.39
1.43
1.38
1.36
1.38




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239444&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239444&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239444&T=0

As an alternative you can also use a 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'George Udny Yule' @ yule.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.9052984472691710.0155343088239199
0.020.9124826449138150.0111559537465294
0.030.9191837042834240.00963723095380394
0.040.9250224473997920.0109262868504554
0.050.9305327349576940.0132266560449989
0.060.9361715872128240.0154230310971063
0.070.9420743935039240.0170912318145584
0.080.9481749067333630.0182074144882424
0.090.9543619878588340.0189998231010062
0.10.9605710227353920.019798336415214
0.110.9668131155796520.0209017204949536
0.120.9731668199538870.0225048630028661
0.130.979753600054230.0246998630410536
0.140.986710422390240.0274886334753673
0.150.9941656300010010.0307962123077553
0.161.002219494022080.0344679567709523
0.171.010929201415010.0382828208328853
0.181.020298492891240.0419677324539388
0.191.030273001134990.0452428003079834
0.21.040742400430330.0478469777343006
0.211.051549600002920.0495831572725491
0.221.062505898612220.050333456312418
0.231.073409893746650.0500762934880008
0.241.084067391615830.0488824627547647
0.251.094309657229710.0469059535772333
0.261.104007915266310.0443657007345496
0.271.113082819704170.0415139413118859
0.281.121508437936580.038622658945629
0.291.129311002839480.0359550002238163
0.31.136563210055330.0337503532885848
0.311.143375168238630.0322034183094328
0.321.149883265931850.0314479805861458
0.331.1562382264930.031540377317547
0.341.16259350598990.0324618366457079
0.351.169094969381750.0341304651692985
0.361.175872482021380.0364137783879666
0.371.183033711104420.0391680822200608
0.381.190660092757220.0422353370509731
0.391.198804641228490.0454631202253453
0.41.207491110404620.0487050276640764
0.411.2167139993480.0518156760338119
0.421.226439024900580.0546523875914922
0.431.236603928377020.057071167394199
0.441.247119767997910.0589334042203231
0.451.257873083715390.0601069970678234
0.461.268729422685880.0604773846432209
0.471.279538630543230.0599645000075708
0.481.290142045742010.0585274111000432
0.491.300381337292870.0561816555869665
0.51.310108299276870.053006010693295
0.511.319194574317310.0491293716732911
0.521.327540121833390.0447321761246885
0.531.335079328651340.0400246924557882
0.541.34178397090690.0352262089993087
0.551.347662709569030.0305500349141616
0.561.352757330818710.0261755933505484
0.571.357136412021460.0222468736045316
0.581.360887411739110.0188578883948516
0.591.364108299803540.0160543353221643
0.61.366899763180870.0138398839459077
0.611.369358789443350.0121783052574669
0.621.371574109611330.011008049071744
0.631.373623645309230.0102491089442716
0.641.375573806243240.0098248595050504
0.651.37748025527060.00966225027034521
0.661.379389611621450.00970999094447878
0.671.381341497677970.00992972365031046
0.681.383370347790190.010300499622223
0.691.385506488432330.0108060739706133
0.71.387776168711280.0114297642317765
0.711.390200463456120.0121454464480193
0.721.392793264686560.0129106673486703
0.731.395558872282720.013668342157148
0.741.398489918870690.0143506546948736
0.751.401566438119510.0148866047759021
0.761.404756751999830.0152152748411706
0.771.4080205049360.0152954668037315
0.781.411313675078850.0151202241709557
0.791.414594873448780.0147161043267013
0.81.417831860383460.0141433385631873
0.811.42100710544640.0134862981068512
0.821.424121457112690.0128400891923526
0.831.427195521855890.0122967826779619
0.841.430268995422760.0119307168438743
0.851.433398643088060.011790933970507
0.861.436655550845990.0119048675661297
0.871.440121453687460.0122815591501475
0.881.443882571446810.0129157624785652
0.891.448018267532030.013768790059495
0.91.452582383063840.0147325776517147
0.911.457578565828120.015600710377435
0.921.462937358454950.0160782354511783
0.931.468510599969790.0158642318383164
0.941.474105523325380.0147857146405294
0.951.47958264139050.0129376224724849
0.961.485018354513290.0108174487154442
0.971.490827916783380.00960676166489766
0.981.497519773576830.0111509075453919
0.991.504701840473440.0155336254797615

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.905298447269171 & 0.0155343088239199 \tabularnewline
0.02 & 0.912482644913815 & 0.0111559537465294 \tabularnewline
0.03 & 0.919183704283424 & 0.00963723095380394 \tabularnewline
0.04 & 0.925022447399792 & 0.0109262868504554 \tabularnewline
0.05 & 0.930532734957694 & 0.0132266560449989 \tabularnewline
0.06 & 0.936171587212824 & 0.0154230310971063 \tabularnewline
0.07 & 0.942074393503924 & 0.0170912318145584 \tabularnewline
0.08 & 0.948174906733363 & 0.0182074144882424 \tabularnewline
0.09 & 0.954361987858834 & 0.0189998231010062 \tabularnewline
0.1 & 0.960571022735392 & 0.019798336415214 \tabularnewline
0.11 & 0.966813115579652 & 0.0209017204949536 \tabularnewline
0.12 & 0.973166819953887 & 0.0225048630028661 \tabularnewline
0.13 & 0.97975360005423 & 0.0246998630410536 \tabularnewline
0.14 & 0.98671042239024 & 0.0274886334753673 \tabularnewline
0.15 & 0.994165630001001 & 0.0307962123077553 \tabularnewline
0.16 & 1.00221949402208 & 0.0344679567709523 \tabularnewline
0.17 & 1.01092920141501 & 0.0382828208328853 \tabularnewline
0.18 & 1.02029849289124 & 0.0419677324539388 \tabularnewline
0.19 & 1.03027300113499 & 0.0452428003079834 \tabularnewline
0.2 & 1.04074240043033 & 0.0478469777343006 \tabularnewline
0.21 & 1.05154960000292 & 0.0495831572725491 \tabularnewline
0.22 & 1.06250589861222 & 0.050333456312418 \tabularnewline
0.23 & 1.07340989374665 & 0.0500762934880008 \tabularnewline
0.24 & 1.08406739161583 & 0.0488824627547647 \tabularnewline
0.25 & 1.09430965722971 & 0.0469059535772333 \tabularnewline
0.26 & 1.10400791526631 & 0.0443657007345496 \tabularnewline
0.27 & 1.11308281970417 & 0.0415139413118859 \tabularnewline
0.28 & 1.12150843793658 & 0.038622658945629 \tabularnewline
0.29 & 1.12931100283948 & 0.0359550002238163 \tabularnewline
0.3 & 1.13656321005533 & 0.0337503532885848 \tabularnewline
0.31 & 1.14337516823863 & 0.0322034183094328 \tabularnewline
0.32 & 1.14988326593185 & 0.0314479805861458 \tabularnewline
0.33 & 1.156238226493 & 0.031540377317547 \tabularnewline
0.34 & 1.1625935059899 & 0.0324618366457079 \tabularnewline
0.35 & 1.16909496938175 & 0.0341304651692985 \tabularnewline
0.36 & 1.17587248202138 & 0.0364137783879666 \tabularnewline
0.37 & 1.18303371110442 & 0.0391680822200608 \tabularnewline
0.38 & 1.19066009275722 & 0.0422353370509731 \tabularnewline
0.39 & 1.19880464122849 & 0.0454631202253453 \tabularnewline
0.4 & 1.20749111040462 & 0.0487050276640764 \tabularnewline
0.41 & 1.216713999348 & 0.0518156760338119 \tabularnewline
0.42 & 1.22643902490058 & 0.0546523875914922 \tabularnewline
0.43 & 1.23660392837702 & 0.057071167394199 \tabularnewline
0.44 & 1.24711976799791 & 0.0589334042203231 \tabularnewline
0.45 & 1.25787308371539 & 0.0601069970678234 \tabularnewline
0.46 & 1.26872942268588 & 0.0604773846432209 \tabularnewline
0.47 & 1.27953863054323 & 0.0599645000075708 \tabularnewline
0.48 & 1.29014204574201 & 0.0585274111000432 \tabularnewline
0.49 & 1.30038133729287 & 0.0561816555869665 \tabularnewline
0.5 & 1.31010829927687 & 0.053006010693295 \tabularnewline
0.51 & 1.31919457431731 & 0.0491293716732911 \tabularnewline
0.52 & 1.32754012183339 & 0.0447321761246885 \tabularnewline
0.53 & 1.33507932865134 & 0.0400246924557882 \tabularnewline
0.54 & 1.3417839709069 & 0.0352262089993087 \tabularnewline
0.55 & 1.34766270956903 & 0.0305500349141616 \tabularnewline
0.56 & 1.35275733081871 & 0.0261755933505484 \tabularnewline
0.57 & 1.35713641202146 & 0.0222468736045316 \tabularnewline
0.58 & 1.36088741173911 & 0.0188578883948516 \tabularnewline
0.59 & 1.36410829980354 & 0.0160543353221643 \tabularnewline
0.6 & 1.36689976318087 & 0.0138398839459077 \tabularnewline
0.61 & 1.36935878944335 & 0.0121783052574669 \tabularnewline
0.62 & 1.37157410961133 & 0.011008049071744 \tabularnewline
0.63 & 1.37362364530923 & 0.0102491089442716 \tabularnewline
0.64 & 1.37557380624324 & 0.0098248595050504 \tabularnewline
0.65 & 1.3774802552706 & 0.00966225027034521 \tabularnewline
0.66 & 1.37938961162145 & 0.00970999094447878 \tabularnewline
0.67 & 1.38134149767797 & 0.00992972365031046 \tabularnewline
0.68 & 1.38337034779019 & 0.010300499622223 \tabularnewline
0.69 & 1.38550648843233 & 0.0108060739706133 \tabularnewline
0.7 & 1.38777616871128 & 0.0114297642317765 \tabularnewline
0.71 & 1.39020046345612 & 0.0121454464480193 \tabularnewline
0.72 & 1.39279326468656 & 0.0129106673486703 \tabularnewline
0.73 & 1.39555887228272 & 0.013668342157148 \tabularnewline
0.74 & 1.39848991887069 & 0.0143506546948736 \tabularnewline
0.75 & 1.40156643811951 & 0.0148866047759021 \tabularnewline
0.76 & 1.40475675199983 & 0.0152152748411706 \tabularnewline
0.77 & 1.408020504936 & 0.0152954668037315 \tabularnewline
0.78 & 1.41131367507885 & 0.0151202241709557 \tabularnewline
0.79 & 1.41459487344878 & 0.0147161043267013 \tabularnewline
0.8 & 1.41783186038346 & 0.0141433385631873 \tabularnewline
0.81 & 1.4210071054464 & 0.0134862981068512 \tabularnewline
0.82 & 1.42412145711269 & 0.0128400891923526 \tabularnewline
0.83 & 1.42719552185589 & 0.0122967826779619 \tabularnewline
0.84 & 1.43026899542276 & 0.0119307168438743 \tabularnewline
0.85 & 1.43339864308806 & 0.011790933970507 \tabularnewline
0.86 & 1.43665555084599 & 0.0119048675661297 \tabularnewline
0.87 & 1.44012145368746 & 0.0122815591501475 \tabularnewline
0.88 & 1.44388257144681 & 0.0129157624785652 \tabularnewline
0.89 & 1.44801826753203 & 0.013768790059495 \tabularnewline
0.9 & 1.45258238306384 & 0.0147325776517147 \tabularnewline
0.91 & 1.45757856582812 & 0.015600710377435 \tabularnewline
0.92 & 1.46293735845495 & 0.0160782354511783 \tabularnewline
0.93 & 1.46851059996979 & 0.0158642318383164 \tabularnewline
0.94 & 1.47410552332538 & 0.0147857146405294 \tabularnewline
0.95 & 1.4795826413905 & 0.0129376224724849 \tabularnewline
0.96 & 1.48501835451329 & 0.0108174487154442 \tabularnewline
0.97 & 1.49082791678338 & 0.00960676166489766 \tabularnewline
0.98 & 1.49751977357683 & 0.0111509075453919 \tabularnewline
0.99 & 1.50470184047344 & 0.0155336254797615 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239444&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]0.905298447269171[/C][C]0.0155343088239199[/C][/ROW]
[ROW][C]0.02[/C][C]0.912482644913815[/C][C]0.0111559537465294[/C][/ROW]
[ROW][C]0.03[/C][C]0.919183704283424[/C][C]0.00963723095380394[/C][/ROW]
[ROW][C]0.04[/C][C]0.925022447399792[/C][C]0.0109262868504554[/C][/ROW]
[ROW][C]0.05[/C][C]0.930532734957694[/C][C]0.0132266560449989[/C][/ROW]
[ROW][C]0.06[/C][C]0.936171587212824[/C][C]0.0154230310971063[/C][/ROW]
[ROW][C]0.07[/C][C]0.942074393503924[/C][C]0.0170912318145584[/C][/ROW]
[ROW][C]0.08[/C][C]0.948174906733363[/C][C]0.0182074144882424[/C][/ROW]
[ROW][C]0.09[/C][C]0.954361987858834[/C][C]0.0189998231010062[/C][/ROW]
[ROW][C]0.1[/C][C]0.960571022735392[/C][C]0.019798336415214[/C][/ROW]
[ROW][C]0.11[/C][C]0.966813115579652[/C][C]0.0209017204949536[/C][/ROW]
[ROW][C]0.12[/C][C]0.973166819953887[/C][C]0.0225048630028661[/C][/ROW]
[ROW][C]0.13[/C][C]0.97975360005423[/C][C]0.0246998630410536[/C][/ROW]
[ROW][C]0.14[/C][C]0.98671042239024[/C][C]0.0274886334753673[/C][/ROW]
[ROW][C]0.15[/C][C]0.994165630001001[/C][C]0.0307962123077553[/C][/ROW]
[ROW][C]0.16[/C][C]1.00221949402208[/C][C]0.0344679567709523[/C][/ROW]
[ROW][C]0.17[/C][C]1.01092920141501[/C][C]0.0382828208328853[/C][/ROW]
[ROW][C]0.18[/C][C]1.02029849289124[/C][C]0.0419677324539388[/C][/ROW]
[ROW][C]0.19[/C][C]1.03027300113499[/C][C]0.0452428003079834[/C][/ROW]
[ROW][C]0.2[/C][C]1.04074240043033[/C][C]0.0478469777343006[/C][/ROW]
[ROW][C]0.21[/C][C]1.05154960000292[/C][C]0.0495831572725491[/C][/ROW]
[ROW][C]0.22[/C][C]1.06250589861222[/C][C]0.050333456312418[/C][/ROW]
[ROW][C]0.23[/C][C]1.07340989374665[/C][C]0.0500762934880008[/C][/ROW]
[ROW][C]0.24[/C][C]1.08406739161583[/C][C]0.0488824627547647[/C][/ROW]
[ROW][C]0.25[/C][C]1.09430965722971[/C][C]0.0469059535772333[/C][/ROW]
[ROW][C]0.26[/C][C]1.10400791526631[/C][C]0.0443657007345496[/C][/ROW]
[ROW][C]0.27[/C][C]1.11308281970417[/C][C]0.0415139413118859[/C][/ROW]
[ROW][C]0.28[/C][C]1.12150843793658[/C][C]0.038622658945629[/C][/ROW]
[ROW][C]0.29[/C][C]1.12931100283948[/C][C]0.0359550002238163[/C][/ROW]
[ROW][C]0.3[/C][C]1.13656321005533[/C][C]0.0337503532885848[/C][/ROW]
[ROW][C]0.31[/C][C]1.14337516823863[/C][C]0.0322034183094328[/C][/ROW]
[ROW][C]0.32[/C][C]1.14988326593185[/C][C]0.0314479805861458[/C][/ROW]
[ROW][C]0.33[/C][C]1.156238226493[/C][C]0.031540377317547[/C][/ROW]
[ROW][C]0.34[/C][C]1.1625935059899[/C][C]0.0324618366457079[/C][/ROW]
[ROW][C]0.35[/C][C]1.16909496938175[/C][C]0.0341304651692985[/C][/ROW]
[ROW][C]0.36[/C][C]1.17587248202138[/C][C]0.0364137783879666[/C][/ROW]
[ROW][C]0.37[/C][C]1.18303371110442[/C][C]0.0391680822200608[/C][/ROW]
[ROW][C]0.38[/C][C]1.19066009275722[/C][C]0.0422353370509731[/C][/ROW]
[ROW][C]0.39[/C][C]1.19880464122849[/C][C]0.0454631202253453[/C][/ROW]
[ROW][C]0.4[/C][C]1.20749111040462[/C][C]0.0487050276640764[/C][/ROW]
[ROW][C]0.41[/C][C]1.216713999348[/C][C]0.0518156760338119[/C][/ROW]
[ROW][C]0.42[/C][C]1.22643902490058[/C][C]0.0546523875914922[/C][/ROW]
[ROW][C]0.43[/C][C]1.23660392837702[/C][C]0.057071167394199[/C][/ROW]
[ROW][C]0.44[/C][C]1.24711976799791[/C][C]0.0589334042203231[/C][/ROW]
[ROW][C]0.45[/C][C]1.25787308371539[/C][C]0.0601069970678234[/C][/ROW]
[ROW][C]0.46[/C][C]1.26872942268588[/C][C]0.0604773846432209[/C][/ROW]
[ROW][C]0.47[/C][C]1.27953863054323[/C][C]0.0599645000075708[/C][/ROW]
[ROW][C]0.48[/C][C]1.29014204574201[/C][C]0.0585274111000432[/C][/ROW]
[ROW][C]0.49[/C][C]1.30038133729287[/C][C]0.0561816555869665[/C][/ROW]
[ROW][C]0.5[/C][C]1.31010829927687[/C][C]0.053006010693295[/C][/ROW]
[ROW][C]0.51[/C][C]1.31919457431731[/C][C]0.0491293716732911[/C][/ROW]
[ROW][C]0.52[/C][C]1.32754012183339[/C][C]0.0447321761246885[/C][/ROW]
[ROW][C]0.53[/C][C]1.33507932865134[/C][C]0.0400246924557882[/C][/ROW]
[ROW][C]0.54[/C][C]1.3417839709069[/C][C]0.0352262089993087[/C][/ROW]
[ROW][C]0.55[/C][C]1.34766270956903[/C][C]0.0305500349141616[/C][/ROW]
[ROW][C]0.56[/C][C]1.35275733081871[/C][C]0.0261755933505484[/C][/ROW]
[ROW][C]0.57[/C][C]1.35713641202146[/C][C]0.0222468736045316[/C][/ROW]
[ROW][C]0.58[/C][C]1.36088741173911[/C][C]0.0188578883948516[/C][/ROW]
[ROW][C]0.59[/C][C]1.36410829980354[/C][C]0.0160543353221643[/C][/ROW]
[ROW][C]0.6[/C][C]1.36689976318087[/C][C]0.0138398839459077[/C][/ROW]
[ROW][C]0.61[/C][C]1.36935878944335[/C][C]0.0121783052574669[/C][/ROW]
[ROW][C]0.62[/C][C]1.37157410961133[/C][C]0.011008049071744[/C][/ROW]
[ROW][C]0.63[/C][C]1.37362364530923[/C][C]0.0102491089442716[/C][/ROW]
[ROW][C]0.64[/C][C]1.37557380624324[/C][C]0.0098248595050504[/C][/ROW]
[ROW][C]0.65[/C][C]1.3774802552706[/C][C]0.00966225027034521[/C][/ROW]
[ROW][C]0.66[/C][C]1.37938961162145[/C][C]0.00970999094447878[/C][/ROW]
[ROW][C]0.67[/C][C]1.38134149767797[/C][C]0.00992972365031046[/C][/ROW]
[ROW][C]0.68[/C][C]1.38337034779019[/C][C]0.010300499622223[/C][/ROW]
[ROW][C]0.69[/C][C]1.38550648843233[/C][C]0.0108060739706133[/C][/ROW]
[ROW][C]0.7[/C][C]1.38777616871128[/C][C]0.0114297642317765[/C][/ROW]
[ROW][C]0.71[/C][C]1.39020046345612[/C][C]0.0121454464480193[/C][/ROW]
[ROW][C]0.72[/C][C]1.39279326468656[/C][C]0.0129106673486703[/C][/ROW]
[ROW][C]0.73[/C][C]1.39555887228272[/C][C]0.013668342157148[/C][/ROW]
[ROW][C]0.74[/C][C]1.39848991887069[/C][C]0.0143506546948736[/C][/ROW]
[ROW][C]0.75[/C][C]1.40156643811951[/C][C]0.0148866047759021[/C][/ROW]
[ROW][C]0.76[/C][C]1.40475675199983[/C][C]0.0152152748411706[/C][/ROW]
[ROW][C]0.77[/C][C]1.408020504936[/C][C]0.0152954668037315[/C][/ROW]
[ROW][C]0.78[/C][C]1.41131367507885[/C][C]0.0151202241709557[/C][/ROW]
[ROW][C]0.79[/C][C]1.41459487344878[/C][C]0.0147161043267013[/C][/ROW]
[ROW][C]0.8[/C][C]1.41783186038346[/C][C]0.0141433385631873[/C][/ROW]
[ROW][C]0.81[/C][C]1.4210071054464[/C][C]0.0134862981068512[/C][/ROW]
[ROW][C]0.82[/C][C]1.42412145711269[/C][C]0.0128400891923526[/C][/ROW]
[ROW][C]0.83[/C][C]1.42719552185589[/C][C]0.0122967826779619[/C][/ROW]
[ROW][C]0.84[/C][C]1.43026899542276[/C][C]0.0119307168438743[/C][/ROW]
[ROW][C]0.85[/C][C]1.43339864308806[/C][C]0.011790933970507[/C][/ROW]
[ROW][C]0.86[/C][C]1.43665555084599[/C][C]0.0119048675661297[/C][/ROW]
[ROW][C]0.87[/C][C]1.44012145368746[/C][C]0.0122815591501475[/C][/ROW]
[ROW][C]0.88[/C][C]1.44388257144681[/C][C]0.0129157624785652[/C][/ROW]
[ROW][C]0.89[/C][C]1.44801826753203[/C][C]0.013768790059495[/C][/ROW]
[ROW][C]0.9[/C][C]1.45258238306384[/C][C]0.0147325776517147[/C][/ROW]
[ROW][C]0.91[/C][C]1.45757856582812[/C][C]0.015600710377435[/C][/ROW]
[ROW][C]0.92[/C][C]1.46293735845495[/C][C]0.0160782354511783[/C][/ROW]
[ROW][C]0.93[/C][C]1.46851059996979[/C][C]0.0158642318383164[/C][/ROW]
[ROW][C]0.94[/C][C]1.47410552332538[/C][C]0.0147857146405294[/C][/ROW]
[ROW][C]0.95[/C][C]1.4795826413905[/C][C]0.0129376224724849[/C][/ROW]
[ROW][C]0.96[/C][C]1.48501835451329[/C][C]0.0108174487154442[/C][/ROW]
[ROW][C]0.97[/C][C]1.49082791678338[/C][C]0.00960676166489766[/C][/ROW]
[ROW][C]0.98[/C][C]1.49751977357683[/C][C]0.0111509075453919[/C][/ROW]
[ROW][C]0.99[/C][C]1.50470184047344[/C][C]0.0155336254797615[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239444&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239444&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.9052984472691710.0155343088239199
0.020.9124826449138150.0111559537465294
0.030.9191837042834240.00963723095380394
0.040.9250224473997920.0109262868504554
0.050.9305327349576940.0132266560449989
0.060.9361715872128240.0154230310971063
0.070.9420743935039240.0170912318145584
0.080.9481749067333630.0182074144882424
0.090.9543619878588340.0189998231010062
0.10.9605710227353920.019798336415214
0.110.9668131155796520.0209017204949536
0.120.9731668199538870.0225048630028661
0.130.979753600054230.0246998630410536
0.140.986710422390240.0274886334753673
0.150.9941656300010010.0307962123077553
0.161.002219494022080.0344679567709523
0.171.010929201415010.0382828208328853
0.181.020298492891240.0419677324539388
0.191.030273001134990.0452428003079834
0.21.040742400430330.0478469777343006
0.211.051549600002920.0495831572725491
0.221.062505898612220.050333456312418
0.231.073409893746650.0500762934880008
0.241.084067391615830.0488824627547647
0.251.094309657229710.0469059535772333
0.261.104007915266310.0443657007345496
0.271.113082819704170.0415139413118859
0.281.121508437936580.038622658945629
0.291.129311002839480.0359550002238163
0.31.136563210055330.0337503532885848
0.311.143375168238630.0322034183094328
0.321.149883265931850.0314479805861458
0.331.1562382264930.031540377317547
0.341.16259350598990.0324618366457079
0.351.169094969381750.0341304651692985
0.361.175872482021380.0364137783879666
0.371.183033711104420.0391680822200608
0.381.190660092757220.0422353370509731
0.391.198804641228490.0454631202253453
0.41.207491110404620.0487050276640764
0.411.2167139993480.0518156760338119
0.421.226439024900580.0546523875914922
0.431.236603928377020.057071167394199
0.441.247119767997910.0589334042203231
0.451.257873083715390.0601069970678234
0.461.268729422685880.0604773846432209
0.471.279538630543230.0599645000075708
0.481.290142045742010.0585274111000432
0.491.300381337292870.0561816555869665
0.51.310108299276870.053006010693295
0.511.319194574317310.0491293716732911
0.521.327540121833390.0447321761246885
0.531.335079328651340.0400246924557882
0.541.34178397090690.0352262089993087
0.551.347662709569030.0305500349141616
0.561.352757330818710.0261755933505484
0.571.357136412021460.0222468736045316
0.581.360887411739110.0188578883948516
0.591.364108299803540.0160543353221643
0.61.366899763180870.0138398839459077
0.611.369358789443350.0121783052574669
0.621.371574109611330.011008049071744
0.631.373623645309230.0102491089442716
0.641.375573806243240.0098248595050504
0.651.37748025527060.00966225027034521
0.661.379389611621450.00970999094447878
0.671.381341497677970.00992972365031046
0.681.383370347790190.010300499622223
0.691.385506488432330.0108060739706133
0.71.387776168711280.0114297642317765
0.711.390200463456120.0121454464480193
0.721.392793264686560.0129106673486703
0.731.395558872282720.013668342157148
0.741.398489918870690.0143506546948736
0.751.401566438119510.0148866047759021
0.761.404756751999830.0152152748411706
0.771.4080205049360.0152954668037315
0.781.411313675078850.0151202241709557
0.791.414594873448780.0147161043267013
0.81.417831860383460.0141433385631873
0.811.42100710544640.0134862981068512
0.821.424121457112690.0128400891923526
0.831.427195521855890.0122967826779619
0.841.430268995422760.0119307168438743
0.851.433398643088060.011790933970507
0.861.436655550845990.0119048675661297
0.871.440121453687460.0122815591501475
0.881.443882571446810.0129157624785652
0.891.448018267532030.013768790059495
0.91.452582383063840.0147325776517147
0.911.457578565828120.015600710377435
0.921.462937358454950.0160782354511783
0.931.468510599969790.0158642318383164
0.941.474105523325380.0147857146405294
0.951.47958264139050.0129376224724849
0.961.485018354513290.0108174487154442
0.971.490827916783380.00960676166489766
0.981.497519773576830.0111509075453919
0.991.504701840473440.0155336254797615



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')