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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, 02 Mar 2008 08:06:58 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Mar/02/t120447047066torj973m5js4x.htm/, Retrieved Mon, 06 May 2024 19:42:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9559, Retrieved Mon, 06 May 2024 19:42:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact152

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] [Prijs enkele rit ...] [2008-03-02 15:06:58] [88615a9036e6e98ff64037322024b7ad] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8.16
8.43
8.43
8.43
8.43
8.43
8.43
8.43
8.43
8.43
8.43
8.43
8.43
8.43
8.68
8.68
8.68
8.68
8.68
8.68
8.68
8.68
8.68
8.68
8.68
8.68
8.92
8.92
8.92
8.92
8.92
8.92
8.92
8.92
8.92
8.92
8.92
8.92
9.3
9.3
9.3
9.3
9.3
9.3
9.3
9.3
9.3
9.3
9.3
9.3
9.6
9.6
9.6
9.6
9.6
9.6
9.6
9.6
9.6
9.6
9.6
9.6
9.9
9.9
9.9
9.9
9.9
9.9
9.9
9.9
9.9
9.9
9.9
9.9
10.2
10.2
10.2
10.2
10.2
10.2
10.2
10.2
10.2
10.2
10.2

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9559&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9559&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9559&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.018.242364640738550.186485380284926
0.028.335425152425580.0947514141828313
0.038.393259929257720.0371488058035260
0.048.41847294156170.0118095489429567
0.058.427043406149680.00324358211534165
0.068.42959182687870.00147687596220320
0.078.430662909483390.00293332542278059
0.088.43196833155860.00643195832393734
0.098.434406198879680.0125995992825618
0.18.438792668820120.0220975221549435
0.118.445980253486470.0350520357421039
0.128.456731121468180.050737372676744
0.138.471507227078560.0674682409405089
0.148.490280565150690.0829600664386345
0.158.512446296124960.094811118201019
0.168.53688510326910.101213309279902
0.178.562166859111150.101426177917781
0.188.58683682937490.0959657703260205
0.198.609700076595410.0863966182244195
0.28.63002764253970.074949356013197
0.218.647641287920430.0640370307429397
0.228.662874461280060.0558707244362099
0.238.67643924362380.0521471085176371
0.248.689244061898340.0534782736741389
0.258.702206063621580.0591722155189937
0.268.716091719150380.0677004852864301
0.278.731406376021050.0773532132314943
0.288.748342216989330.0865437429249834
0.298.766785231504790.0939411811129742
0.38.786374540904170.0986535043581984
0.318.806600954431560.100300231974935
0.328.826926257170620.0991105310067826
0.338.846901602118880.095858356265937
0.348.866263702700450.0917841450667947
0.358.884991735556220.088401252352526
0.368.903315305508590.087236340727848
0.378.921672965332630.0894678758205784
0.388.940629767719680.0955108870922205
0.398.960769507409970.104945188521925
0.48.98258155344490.116647260465393
0.419.006362919940680.129109131054164
0.429.032153445492170.140694292252378
0.439.059716081352720.149897454947211
0.449.088566221572890.155552110483052
0.459.11804507324020.156981767525059
0.469.147423885704980.154140945016812
0.479.176020056469320.147603591903191
0.489.203303935965130.138453650826315
0.499.228977050206880.128189212436791
0.59.253008040986140.118423383514870
0.519.2756206933480.110711736695654
0.529.297237323727190.106186501156047
0.539.318388832804360.105324602080090
0.549.33960848064540.107754802807206
0.559.361329025605250.112414974717510
0.569.383801966138650.117860361373866
0.579.407053468064450.122625624842446
0.589.430884867426380.125462581424708
0.599.454917532560480.125524494423388
0.69.478673740886760.122519765858720
0.619.501678527138820.116702198510924
0.629.523563420242140.108868026450381
0.639.544152344835850.100248189954585
0.649.563512811585730.0923279989103371
0.659.58196132567740.0866536179208342
0.669.600019734474670.0844892082441454
0.679.618327841630020.0864155950040073
0.689.637525826081850.0920625261759234
0.699.658126606896420.100213665826117
0.79.680402053238790.109130142460931
0.719.704306688820410.116967905281751
0.729.72945752367770.122026420572786
0.739.755179035421080.123051813642244
0.749.780609656703960.119431125601559
0.759.804853268134070.111337433699689
0.769.827149555030340.0996982907350033
0.779.847033255734550.0860634578329886
0.789.864454764164830.0724055492918438
0.799.879841158202370.0609546829547062
0.89.894083994633330.0540810631405504
0.819.908445671419380.0538848628789266
0.829.924380899322290.0609950924052486
0.839.943279018625620.0739924002836736
0.849.96615267544790.0901480926362866
0.859.993329462902170.106055654946905
0.8610.02423481447870.118024817737117
0.8710.05736468237320.122777802162818
0.8810.09051262415660.118396029888476
0.8910.12123292065990.105050197901878
0.910.14741655557180.0850955255168393
0.9110.16778487679250.0623710455112859
0.9210.18211841849920.0409145348926673
0.9310.19114528154760.0236959635662213
0.9410.19616386093900.0118966275437265
0.9510.19858331942400.00505203270784144
0.9610.19957028594430.00175148869139451
0.9710.19989901308800.000469410704561341
0.9810.19998347598288.50806902017431e-05
0.9910.19999855606418.80145071052515e-06

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 8.24236464073855 & 0.186485380284926 \tabularnewline
0.02 & 8.33542515242558 & 0.0947514141828313 \tabularnewline
0.03 & 8.39325992925772 & 0.0371488058035260 \tabularnewline
0.04 & 8.4184729415617 & 0.0118095489429567 \tabularnewline
0.05 & 8.42704340614968 & 0.00324358211534165 \tabularnewline
0.06 & 8.4295918268787 & 0.00147687596220320 \tabularnewline
0.07 & 8.43066290948339 & 0.00293332542278059 \tabularnewline
0.08 & 8.4319683315586 & 0.00643195832393734 \tabularnewline
0.09 & 8.43440619887968 & 0.0125995992825618 \tabularnewline
0.1 & 8.43879266882012 & 0.0220975221549435 \tabularnewline
0.11 & 8.44598025348647 & 0.0350520357421039 \tabularnewline
0.12 & 8.45673112146818 & 0.050737372676744 \tabularnewline
0.13 & 8.47150722707856 & 0.0674682409405089 \tabularnewline
0.14 & 8.49028056515069 & 0.0829600664386345 \tabularnewline
0.15 & 8.51244629612496 & 0.094811118201019 \tabularnewline
0.16 & 8.5368851032691 & 0.101213309279902 \tabularnewline
0.17 & 8.56216685911115 & 0.101426177917781 \tabularnewline
0.18 & 8.5868368293749 & 0.0959657703260205 \tabularnewline
0.19 & 8.60970007659541 & 0.0863966182244195 \tabularnewline
0.2 & 8.6300276425397 & 0.074949356013197 \tabularnewline
0.21 & 8.64764128792043 & 0.0640370307429397 \tabularnewline
0.22 & 8.66287446128006 & 0.0558707244362099 \tabularnewline
0.23 & 8.6764392436238 & 0.0521471085176371 \tabularnewline
0.24 & 8.68924406189834 & 0.0534782736741389 \tabularnewline
0.25 & 8.70220606362158 & 0.0591722155189937 \tabularnewline
0.26 & 8.71609171915038 & 0.0677004852864301 \tabularnewline
0.27 & 8.73140637602105 & 0.0773532132314943 \tabularnewline
0.28 & 8.74834221698933 & 0.0865437429249834 \tabularnewline
0.29 & 8.76678523150479 & 0.0939411811129742 \tabularnewline
0.3 & 8.78637454090417 & 0.0986535043581984 \tabularnewline
0.31 & 8.80660095443156 & 0.100300231974935 \tabularnewline
0.32 & 8.82692625717062 & 0.0991105310067826 \tabularnewline
0.33 & 8.84690160211888 & 0.095858356265937 \tabularnewline
0.34 & 8.86626370270045 & 0.0917841450667947 \tabularnewline
0.35 & 8.88499173555622 & 0.088401252352526 \tabularnewline
0.36 & 8.90331530550859 & 0.087236340727848 \tabularnewline
0.37 & 8.92167296533263 & 0.0894678758205784 \tabularnewline
0.38 & 8.94062976771968 & 0.0955108870922205 \tabularnewline
0.39 & 8.96076950740997 & 0.104945188521925 \tabularnewline
0.4 & 8.9825815534449 & 0.116647260465393 \tabularnewline
0.41 & 9.00636291994068 & 0.129109131054164 \tabularnewline
0.42 & 9.03215344549217 & 0.140694292252378 \tabularnewline
0.43 & 9.05971608135272 & 0.149897454947211 \tabularnewline
0.44 & 9.08856622157289 & 0.155552110483052 \tabularnewline
0.45 & 9.1180450732402 & 0.156981767525059 \tabularnewline
0.46 & 9.14742388570498 & 0.154140945016812 \tabularnewline
0.47 & 9.17602005646932 & 0.147603591903191 \tabularnewline
0.48 & 9.20330393596513 & 0.138453650826315 \tabularnewline
0.49 & 9.22897705020688 & 0.128189212436791 \tabularnewline
0.5 & 9.25300804098614 & 0.118423383514870 \tabularnewline
0.51 & 9.275620693348 & 0.110711736695654 \tabularnewline
0.52 & 9.29723732372719 & 0.106186501156047 \tabularnewline
0.53 & 9.31838883280436 & 0.105324602080090 \tabularnewline
0.54 & 9.3396084806454 & 0.107754802807206 \tabularnewline
0.55 & 9.36132902560525 & 0.112414974717510 \tabularnewline
0.56 & 9.38380196613865 & 0.117860361373866 \tabularnewline
0.57 & 9.40705346806445 & 0.122625624842446 \tabularnewline
0.58 & 9.43088486742638 & 0.125462581424708 \tabularnewline
0.59 & 9.45491753256048 & 0.125524494423388 \tabularnewline
0.6 & 9.47867374088676 & 0.122519765858720 \tabularnewline
0.61 & 9.50167852713882 & 0.116702198510924 \tabularnewline
0.62 & 9.52356342024214 & 0.108868026450381 \tabularnewline
0.63 & 9.54415234483585 & 0.100248189954585 \tabularnewline
0.64 & 9.56351281158573 & 0.0923279989103371 \tabularnewline
0.65 & 9.5819613256774 & 0.0866536179208342 \tabularnewline
0.66 & 9.60001973447467 & 0.0844892082441454 \tabularnewline
0.67 & 9.61832784163002 & 0.0864155950040073 \tabularnewline
0.68 & 9.63752582608185 & 0.0920625261759234 \tabularnewline
0.69 & 9.65812660689642 & 0.100213665826117 \tabularnewline
0.7 & 9.68040205323879 & 0.109130142460931 \tabularnewline
0.71 & 9.70430668882041 & 0.116967905281751 \tabularnewline
0.72 & 9.7294575236777 & 0.122026420572786 \tabularnewline
0.73 & 9.75517903542108 & 0.123051813642244 \tabularnewline
0.74 & 9.78060965670396 & 0.119431125601559 \tabularnewline
0.75 & 9.80485326813407 & 0.111337433699689 \tabularnewline
0.76 & 9.82714955503034 & 0.0996982907350033 \tabularnewline
0.77 & 9.84703325573455 & 0.0860634578329886 \tabularnewline
0.78 & 9.86445476416483 & 0.0724055492918438 \tabularnewline
0.79 & 9.87984115820237 & 0.0609546829547062 \tabularnewline
0.8 & 9.89408399463333 & 0.0540810631405504 \tabularnewline
0.81 & 9.90844567141938 & 0.0538848628789266 \tabularnewline
0.82 & 9.92438089932229 & 0.0609950924052486 \tabularnewline
0.83 & 9.94327901862562 & 0.0739924002836736 \tabularnewline
0.84 & 9.9661526754479 & 0.0901480926362866 \tabularnewline
0.85 & 9.99332946290217 & 0.106055654946905 \tabularnewline
0.86 & 10.0242348144787 & 0.118024817737117 \tabularnewline
0.87 & 10.0573646823732 & 0.122777802162818 \tabularnewline
0.88 & 10.0905126241566 & 0.118396029888476 \tabularnewline
0.89 & 10.1212329206599 & 0.105050197901878 \tabularnewline
0.9 & 10.1474165555718 & 0.0850955255168393 \tabularnewline
0.91 & 10.1677848767925 & 0.0623710455112859 \tabularnewline
0.92 & 10.1821184184992 & 0.0409145348926673 \tabularnewline
0.93 & 10.1911452815476 & 0.0236959635662213 \tabularnewline
0.94 & 10.1961638609390 & 0.0118966275437265 \tabularnewline
0.95 & 10.1985833194240 & 0.00505203270784144 \tabularnewline
0.96 & 10.1995702859443 & 0.00175148869139451 \tabularnewline
0.97 & 10.1998990130880 & 0.000469410704561341 \tabularnewline
0.98 & 10.1999834759828 & 8.50806902017431e-05 \tabularnewline
0.99 & 10.1999985560641 & 8.80145071052515e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9559&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]8.24236464073855[/C][C]0.186485380284926[/C][/ROW]
[ROW][C]0.02[/C][C]8.33542515242558[/C][C]0.0947514141828313[/C][/ROW]
[ROW][C]0.03[/C][C]8.39325992925772[/C][C]0.0371488058035260[/C][/ROW]
[ROW][C]0.04[/C][C]8.4184729415617[/C][C]0.0118095489429567[/C][/ROW]
[ROW][C]0.05[/C][C]8.42704340614968[/C][C]0.00324358211534165[/C][/ROW]
[ROW][C]0.06[/C][C]8.4295918268787[/C][C]0.00147687596220320[/C][/ROW]
[ROW][C]0.07[/C][C]8.43066290948339[/C][C]0.00293332542278059[/C][/ROW]
[ROW][C]0.08[/C][C]8.4319683315586[/C][C]0.00643195832393734[/C][/ROW]
[ROW][C]0.09[/C][C]8.43440619887968[/C][C]0.0125995992825618[/C][/ROW]
[ROW][C]0.1[/C][C]8.43879266882012[/C][C]0.0220975221549435[/C][/ROW]
[ROW][C]0.11[/C][C]8.44598025348647[/C][C]0.0350520357421039[/C][/ROW]
[ROW][C]0.12[/C][C]8.45673112146818[/C][C]0.050737372676744[/C][/ROW]
[ROW][C]0.13[/C][C]8.47150722707856[/C][C]0.0674682409405089[/C][/ROW]
[ROW][C]0.14[/C][C]8.49028056515069[/C][C]0.0829600664386345[/C][/ROW]
[ROW][C]0.15[/C][C]8.51244629612496[/C][C]0.094811118201019[/C][/ROW]
[ROW][C]0.16[/C][C]8.5368851032691[/C][C]0.101213309279902[/C][/ROW]
[ROW][C]0.17[/C][C]8.56216685911115[/C][C]0.101426177917781[/C][/ROW]
[ROW][C]0.18[/C][C]8.5868368293749[/C][C]0.0959657703260205[/C][/ROW]
[ROW][C]0.19[/C][C]8.60970007659541[/C][C]0.0863966182244195[/C][/ROW]
[ROW][C]0.2[/C][C]8.6300276425397[/C][C]0.074949356013197[/C][/ROW]
[ROW][C]0.21[/C][C]8.64764128792043[/C][C]0.0640370307429397[/C][/ROW]
[ROW][C]0.22[/C][C]8.66287446128006[/C][C]0.0558707244362099[/C][/ROW]
[ROW][C]0.23[/C][C]8.6764392436238[/C][C]0.0521471085176371[/C][/ROW]
[ROW][C]0.24[/C][C]8.68924406189834[/C][C]0.0534782736741389[/C][/ROW]
[ROW][C]0.25[/C][C]8.70220606362158[/C][C]0.0591722155189937[/C][/ROW]
[ROW][C]0.26[/C][C]8.71609171915038[/C][C]0.0677004852864301[/C][/ROW]
[ROW][C]0.27[/C][C]8.73140637602105[/C][C]0.0773532132314943[/C][/ROW]
[ROW][C]0.28[/C][C]8.74834221698933[/C][C]0.0865437429249834[/C][/ROW]
[ROW][C]0.29[/C][C]8.76678523150479[/C][C]0.0939411811129742[/C][/ROW]
[ROW][C]0.3[/C][C]8.78637454090417[/C][C]0.0986535043581984[/C][/ROW]
[ROW][C]0.31[/C][C]8.80660095443156[/C][C]0.100300231974935[/C][/ROW]
[ROW][C]0.32[/C][C]8.82692625717062[/C][C]0.0991105310067826[/C][/ROW]
[ROW][C]0.33[/C][C]8.84690160211888[/C][C]0.095858356265937[/C][/ROW]
[ROW][C]0.34[/C][C]8.86626370270045[/C][C]0.0917841450667947[/C][/ROW]
[ROW][C]0.35[/C][C]8.88499173555622[/C][C]0.088401252352526[/C][/ROW]
[ROW][C]0.36[/C][C]8.90331530550859[/C][C]0.087236340727848[/C][/ROW]
[ROW][C]0.37[/C][C]8.92167296533263[/C][C]0.0894678758205784[/C][/ROW]
[ROW][C]0.38[/C][C]8.94062976771968[/C][C]0.0955108870922205[/C][/ROW]
[ROW][C]0.39[/C][C]8.96076950740997[/C][C]0.104945188521925[/C][/ROW]
[ROW][C]0.4[/C][C]8.9825815534449[/C][C]0.116647260465393[/C][/ROW]
[ROW][C]0.41[/C][C]9.00636291994068[/C][C]0.129109131054164[/C][/ROW]
[ROW][C]0.42[/C][C]9.03215344549217[/C][C]0.140694292252378[/C][/ROW]
[ROW][C]0.43[/C][C]9.05971608135272[/C][C]0.149897454947211[/C][/ROW]
[ROW][C]0.44[/C][C]9.08856622157289[/C][C]0.155552110483052[/C][/ROW]
[ROW][C]0.45[/C][C]9.1180450732402[/C][C]0.156981767525059[/C][/ROW]
[ROW][C]0.46[/C][C]9.14742388570498[/C][C]0.154140945016812[/C][/ROW]
[ROW][C]0.47[/C][C]9.17602005646932[/C][C]0.147603591903191[/C][/ROW]
[ROW][C]0.48[/C][C]9.20330393596513[/C][C]0.138453650826315[/C][/ROW]
[ROW][C]0.49[/C][C]9.22897705020688[/C][C]0.128189212436791[/C][/ROW]
[ROW][C]0.5[/C][C]9.25300804098614[/C][C]0.118423383514870[/C][/ROW]
[ROW][C]0.51[/C][C]9.275620693348[/C][C]0.110711736695654[/C][/ROW]
[ROW][C]0.52[/C][C]9.29723732372719[/C][C]0.106186501156047[/C][/ROW]
[ROW][C]0.53[/C][C]9.31838883280436[/C][C]0.105324602080090[/C][/ROW]
[ROW][C]0.54[/C][C]9.3396084806454[/C][C]0.107754802807206[/C][/ROW]
[ROW][C]0.55[/C][C]9.36132902560525[/C][C]0.112414974717510[/C][/ROW]
[ROW][C]0.56[/C][C]9.38380196613865[/C][C]0.117860361373866[/C][/ROW]
[ROW][C]0.57[/C][C]9.40705346806445[/C][C]0.122625624842446[/C][/ROW]
[ROW][C]0.58[/C][C]9.43088486742638[/C][C]0.125462581424708[/C][/ROW]
[ROW][C]0.59[/C][C]9.45491753256048[/C][C]0.125524494423388[/C][/ROW]
[ROW][C]0.6[/C][C]9.47867374088676[/C][C]0.122519765858720[/C][/ROW]
[ROW][C]0.61[/C][C]9.50167852713882[/C][C]0.116702198510924[/C][/ROW]
[ROW][C]0.62[/C][C]9.52356342024214[/C][C]0.108868026450381[/C][/ROW]
[ROW][C]0.63[/C][C]9.54415234483585[/C][C]0.100248189954585[/C][/ROW]
[ROW][C]0.64[/C][C]9.56351281158573[/C][C]0.0923279989103371[/C][/ROW]
[ROW][C]0.65[/C][C]9.5819613256774[/C][C]0.0866536179208342[/C][/ROW]
[ROW][C]0.66[/C][C]9.60001973447467[/C][C]0.0844892082441454[/C][/ROW]
[ROW][C]0.67[/C][C]9.61832784163002[/C][C]0.0864155950040073[/C][/ROW]
[ROW][C]0.68[/C][C]9.63752582608185[/C][C]0.0920625261759234[/C][/ROW]
[ROW][C]0.69[/C][C]9.65812660689642[/C][C]0.100213665826117[/C][/ROW]
[ROW][C]0.7[/C][C]9.68040205323879[/C][C]0.109130142460931[/C][/ROW]
[ROW][C]0.71[/C][C]9.70430668882041[/C][C]0.116967905281751[/C][/ROW]
[ROW][C]0.72[/C][C]9.7294575236777[/C][C]0.122026420572786[/C][/ROW]
[ROW][C]0.73[/C][C]9.75517903542108[/C][C]0.123051813642244[/C][/ROW]
[ROW][C]0.74[/C][C]9.78060965670396[/C][C]0.119431125601559[/C][/ROW]
[ROW][C]0.75[/C][C]9.80485326813407[/C][C]0.111337433699689[/C][/ROW]
[ROW][C]0.76[/C][C]9.82714955503034[/C][C]0.0996982907350033[/C][/ROW]
[ROW][C]0.77[/C][C]9.84703325573455[/C][C]0.0860634578329886[/C][/ROW]
[ROW][C]0.78[/C][C]9.86445476416483[/C][C]0.0724055492918438[/C][/ROW]
[ROW][C]0.79[/C][C]9.87984115820237[/C][C]0.0609546829547062[/C][/ROW]
[ROW][C]0.8[/C][C]9.89408399463333[/C][C]0.0540810631405504[/C][/ROW]
[ROW][C]0.81[/C][C]9.90844567141938[/C][C]0.0538848628789266[/C][/ROW]
[ROW][C]0.82[/C][C]9.92438089932229[/C][C]0.0609950924052486[/C][/ROW]
[ROW][C]0.83[/C][C]9.94327901862562[/C][C]0.0739924002836736[/C][/ROW]
[ROW][C]0.84[/C][C]9.9661526754479[/C][C]0.0901480926362866[/C][/ROW]
[ROW][C]0.85[/C][C]9.99332946290217[/C][C]0.106055654946905[/C][/ROW]
[ROW][C]0.86[/C][C]10.0242348144787[/C][C]0.118024817737117[/C][/ROW]
[ROW][C]0.87[/C][C]10.0573646823732[/C][C]0.122777802162818[/C][/ROW]
[ROW][C]0.88[/C][C]10.0905126241566[/C][C]0.118396029888476[/C][/ROW]
[ROW][C]0.89[/C][C]10.1212329206599[/C][C]0.105050197901878[/C][/ROW]
[ROW][C]0.9[/C][C]10.1474165555718[/C][C]0.0850955255168393[/C][/ROW]
[ROW][C]0.91[/C][C]10.1677848767925[/C][C]0.0623710455112859[/C][/ROW]
[ROW][C]0.92[/C][C]10.1821184184992[/C][C]0.0409145348926673[/C][/ROW]
[ROW][C]0.93[/C][C]10.1911452815476[/C][C]0.0236959635662213[/C][/ROW]
[ROW][C]0.94[/C][C]10.1961638609390[/C][C]0.0118966275437265[/C][/ROW]
[ROW][C]0.95[/C][C]10.1985833194240[/C][C]0.00505203270784144[/C][/ROW]
[ROW][C]0.96[/C][C]10.1995702859443[/C][C]0.00175148869139451[/C][/ROW]
[ROW][C]0.97[/C][C]10.1998990130880[/C][C]0.000469410704561341[/C][/ROW]
[ROW][C]0.98[/C][C]10.1999834759828[/C][C]8.50806902017431e-05[/C][/ROW]
[ROW][C]0.99[/C][C]10.1999985560641[/C][C]8.80145071052515e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9559&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9559&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
0.018.242364640738550.186485380284926
0.028.335425152425580.0947514141828313
0.038.393259929257720.0371488058035260
0.048.41847294156170.0118095489429567
0.058.427043406149680.00324358211534165
0.068.42959182687870.00147687596220320
0.078.430662909483390.00293332542278059
0.088.43196833155860.00643195832393734
0.098.434406198879680.0125995992825618
0.18.438792668820120.0220975221549435
0.118.445980253486470.0350520357421039
0.128.456731121468180.050737372676744
0.138.471507227078560.0674682409405089
0.148.490280565150690.0829600664386345
0.158.512446296124960.094811118201019
0.168.53688510326910.101213309279902
0.178.562166859111150.101426177917781
0.188.58683682937490.0959657703260205
0.198.609700076595410.0863966182244195
0.28.63002764253970.074949356013197
0.218.647641287920430.0640370307429397
0.228.662874461280060.0558707244362099
0.238.67643924362380.0521471085176371
0.248.689244061898340.0534782736741389
0.258.702206063621580.0591722155189937
0.268.716091719150380.0677004852864301
0.278.731406376021050.0773532132314943
0.288.748342216989330.0865437429249834
0.298.766785231504790.0939411811129742
0.38.786374540904170.0986535043581984
0.318.806600954431560.100300231974935
0.328.826926257170620.0991105310067826
0.338.846901602118880.095858356265937
0.348.866263702700450.0917841450667947
0.358.884991735556220.088401252352526
0.368.903315305508590.087236340727848
0.378.921672965332630.0894678758205784
0.388.940629767719680.0955108870922205
0.398.960769507409970.104945188521925
0.48.98258155344490.116647260465393
0.419.006362919940680.129109131054164
0.429.032153445492170.140694292252378
0.439.059716081352720.149897454947211
0.449.088566221572890.155552110483052
0.459.11804507324020.156981767525059
0.469.147423885704980.154140945016812
0.479.176020056469320.147603591903191
0.489.203303935965130.138453650826315
0.499.228977050206880.128189212436791
0.59.253008040986140.118423383514870
0.519.2756206933480.110711736695654
0.529.297237323727190.106186501156047
0.539.318388832804360.105324602080090
0.549.33960848064540.107754802807206
0.559.361329025605250.112414974717510
0.569.383801966138650.117860361373866
0.579.407053468064450.122625624842446
0.589.430884867426380.125462581424708
0.599.454917532560480.125524494423388
0.69.478673740886760.122519765858720
0.619.501678527138820.116702198510924
0.629.523563420242140.108868026450381
0.639.544152344835850.100248189954585
0.649.563512811585730.0923279989103371
0.659.58196132567740.0866536179208342
0.669.600019734474670.0844892082441454
0.679.618327841630020.0864155950040073
0.689.637525826081850.0920625261759234
0.699.658126606896420.100213665826117
0.79.680402053238790.109130142460931
0.719.704306688820410.116967905281751
0.729.72945752367770.122026420572786
0.739.755179035421080.123051813642244
0.749.780609656703960.119431125601559
0.759.804853268134070.111337433699689
0.769.827149555030340.0996982907350033
0.779.847033255734550.0860634578329886
0.789.864454764164830.0724055492918438
0.799.879841158202370.0609546829547062
0.89.894083994633330.0540810631405504
0.819.908445671419380.0538848628789266
0.829.924380899322290.0609950924052486
0.839.943279018625620.0739924002836736
0.849.96615267544790.0901480926362866
0.859.993329462902170.106055654946905
0.8610.02423481447870.118024817737117
0.8710.05736468237320.122777802162818
0.8810.09051262415660.118396029888476
0.8910.12123292065990.105050197901878
0.910.14741655557180.0850955255168393
0.9110.16778487679250.0623710455112859
0.9210.18211841849920.0409145348926673
0.9310.19114528154760.0236959635662213
0.9410.19616386093900.0118966275437265
0.9510.19858331942400.00505203270784144
0.9610.19957028594430.00175148869139451
0.9710.19989901308800.000469410704561341
0.9810.19998347598288.50806902017431e-05
0.9910.19999855606418.80145071052515e-06


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')