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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 18 Oct 2008 03:23:38 -0600
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/Oct/18/t1224321846mhddt068k4gii2s.htm/, Retrieved Wed, 22 May 2024 06:03:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16540, Retrieved Wed, 22 May 2024 06:03:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact155
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Opgave 4-Oef2-Sta...] [2008-10-18 09:23:38] [c9bf5568159d8509e7e610a13d84f161] [Current]
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Dataseries X:
1.47
1.49
1.5
1.56
1.55
1.55
1.6
1.62
1.56
1.45
1.4
1.43
1.38
1.44
1.45
1.51
1.51
1.5
1.47
1.48
1.47
1.35
1.27
1.27
1.33
1.4
1.46
1.58
1.68
1.88
1.9
1.9
1.85
1.5
1.47
1.48
1.48
1.5
1.52
1.59
1.69
1.84
1.84
1.83
1.9
1.72
1.67
1.64
1.69
1.77
1.85
1.92
1.92
1.93
1.94
1.96
2.03
1.9
1.84
1.79
1.81
1.85
1.87
1.92
1.87
1.9
1.88
1.86
1.92
1.8
1.85
1.86
1.88
1.9
1.93
1.94
1.89
1.95
2
2.15
2.21
2.06
1.99
2
1.99
2.01
1.94
1.93
1.87
1.87
1.89
1.88
1.91
1.8
1.75
1.75




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16540&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16540&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16540&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'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.279058513078600.0227232695592348
0.021.300067942549380.0402875347046911
0.031.326753419940130.0434534824946468
0.041.352398011701740.0403201116524364
0.051.374281039598570.0366358545919131
0.061.392435585370480.0335851179232407
0.071.407638738491870.0309264918937523
0.081.420532297034990.0282522611448676
0.091.431504738166860.0253608108131316
0.11.440798188669160.0223512850437676
0.111.448616090735570.0194863649422735
0.121.455177517262360.0170102644863770
0.131.460724581928250.0150704731322526
0.141.465506750683650.0137393559531384
0.151.469761466130040.0130275913595674
0.161.473699449116540.0128919225998452
0.171.477496274652780.0132336389996900
0.181.481290456237750.0139356361109038
0.191.485188242172150.0149129096336857
0.21.489273966396070.0161446927040478
0.211.493622628887050.0176690580502163
0.221.498310238553010.0195494888887374
0.231.503418375418720.0218348471374872
0.241.509031992916190.0245383190740773
0.251.515232322078010.0276026628111763
0.261.522088479710830.0309391619597886
0.271.529651337376850.034444778803719
0.281.537951616883090.0380397808215211
0.291.547001966413370.0416637067083833
0.31.556801028211340.0452930225007383
0.311.56733695787390.0488923632132941
0.321.578588569946570.0524252817629356
0.331.590523746091760.0558296620877065
0.341.603096168756340.0590053566349573
0.351.616242191138060.0618462086727834
0.361.629879490888290.064248704407756
0.371.643908297548780.0661257891752777
0.381.658214923953280.0674218924991478
0.391.672676565657540.0681079071432
0.41.687166135556670.0681814432646136
0.411.701556245238670.0676440837945271
0.421.715722069319340.0665128770376982
0.431.729543403607270.064800858783102
0.441.742906515584170.0625370200016767
0.451.755706328894470.0597606814972762
0.461.767849187911380.056531389768281
0.471.779256093485250.0529244068950824
0.481.789866038040420.0490386970640166
0.491.799638959749270.044980562362744
0.51.808557857176450.0408679976481644
0.511.816629694172040.0368185594280799
0.521.823884832580240.0329449701265238
0.531.830374853320830.0293470589692332
0.541.836168790655850.0261076737085724
0.551.841348028109740.023284561988235
0.561.846000363218250.0209013950951053
0.571.850213968772910.0189534900365649
0.581.854072066102930.0174003443667484
0.591.857649013162890.0161888088970981
0.61.86100819668090.0152535334254737
0.611.864201684339280.0145306264119762
0.621.867271178583770.0139738341601628
0.631.870249563819540.0135450437385851
0.641.873162348545700.0132177051527435
0.651.876028576088410.0129670198788148
0.661.878861211910310.0127657826341520
0.671.881667435789140.0125849669915212
0.681.884449480142290.0123938292120635
0.691.887206527923890.0121792955185734
0.71.889937712140760.0119369695044664
0.711.892645605968550.0116924367056155
0.721.895339051023430.0114826897375774
0.731.898034056659530.0113552094352443
0.741.900751994666410.0113373813139277
0.751.903515321757590.0114253378927227
0.761.90634220710090.0115833408822830
0.771.90924219774870.0117484074307074
0.781.912215017630740.0118614307295391
0.791.915253738377960.0118889095498749
0.81.918352288954390.0118412448663460
0.811.921516186125200.0117753536954497
0.821.924774814614290.0117911602997536
0.831.928193292152350.0120263126855064
0.841.931881128360250.0126387655218033
0.851.935992976231760.0137817327859285
0.861.940714633915230.0155365796756374
0.871.946228031328650.017821738264238
0.881.952656267440880.0203273262455266
0.891.960005629624340.0225347366828761
0.91.968141145683460.0238775014600448
0.911.976843089252340.0240248730210590
0.921.985980519409390.0232155448018116
0.931.99580371546430.0225168705813811
0.942.007316875575710.0238415405533027
0.952.022643579563750.0293930871533274
0.962.045148550189250.0405354239325054
0.972.078680045836500.0557851215561876
0.982.124676033414880.0673960291553261
0.992.175761137121870.0657978883686559

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.27905851307860 & 0.0227232695592348 \tabularnewline
0.02 & 1.30006794254938 & 0.0402875347046911 \tabularnewline
0.03 & 1.32675341994013 & 0.0434534824946468 \tabularnewline
0.04 & 1.35239801170174 & 0.0403201116524364 \tabularnewline
0.05 & 1.37428103959857 & 0.0366358545919131 \tabularnewline
0.06 & 1.39243558537048 & 0.0335851179232407 \tabularnewline
0.07 & 1.40763873849187 & 0.0309264918937523 \tabularnewline
0.08 & 1.42053229703499 & 0.0282522611448676 \tabularnewline
0.09 & 1.43150473816686 & 0.0253608108131316 \tabularnewline
0.1 & 1.44079818866916 & 0.0223512850437676 \tabularnewline
0.11 & 1.44861609073557 & 0.0194863649422735 \tabularnewline
0.12 & 1.45517751726236 & 0.0170102644863770 \tabularnewline
0.13 & 1.46072458192825 & 0.0150704731322526 \tabularnewline
0.14 & 1.46550675068365 & 0.0137393559531384 \tabularnewline
0.15 & 1.46976146613004 & 0.0130275913595674 \tabularnewline
0.16 & 1.47369944911654 & 0.0128919225998452 \tabularnewline
0.17 & 1.47749627465278 & 0.0132336389996900 \tabularnewline
0.18 & 1.48129045623775 & 0.0139356361109038 \tabularnewline
0.19 & 1.48518824217215 & 0.0149129096336857 \tabularnewline
0.2 & 1.48927396639607 & 0.0161446927040478 \tabularnewline
0.21 & 1.49362262888705 & 0.0176690580502163 \tabularnewline
0.22 & 1.49831023855301 & 0.0195494888887374 \tabularnewline
0.23 & 1.50341837541872 & 0.0218348471374872 \tabularnewline
0.24 & 1.50903199291619 & 0.0245383190740773 \tabularnewline
0.25 & 1.51523232207801 & 0.0276026628111763 \tabularnewline
0.26 & 1.52208847971083 & 0.0309391619597886 \tabularnewline
0.27 & 1.52965133737685 & 0.034444778803719 \tabularnewline
0.28 & 1.53795161688309 & 0.0380397808215211 \tabularnewline
0.29 & 1.54700196641337 & 0.0416637067083833 \tabularnewline
0.3 & 1.55680102821134 & 0.0452930225007383 \tabularnewline
0.31 & 1.5673369578739 & 0.0488923632132941 \tabularnewline
0.32 & 1.57858856994657 & 0.0524252817629356 \tabularnewline
0.33 & 1.59052374609176 & 0.0558296620877065 \tabularnewline
0.34 & 1.60309616875634 & 0.0590053566349573 \tabularnewline
0.35 & 1.61624219113806 & 0.0618462086727834 \tabularnewline
0.36 & 1.62987949088829 & 0.064248704407756 \tabularnewline
0.37 & 1.64390829754878 & 0.0661257891752777 \tabularnewline
0.38 & 1.65821492395328 & 0.0674218924991478 \tabularnewline
0.39 & 1.67267656565754 & 0.0681079071432 \tabularnewline
0.4 & 1.68716613555667 & 0.0681814432646136 \tabularnewline
0.41 & 1.70155624523867 & 0.0676440837945271 \tabularnewline
0.42 & 1.71572206931934 & 0.0665128770376982 \tabularnewline
0.43 & 1.72954340360727 & 0.064800858783102 \tabularnewline
0.44 & 1.74290651558417 & 0.0625370200016767 \tabularnewline
0.45 & 1.75570632889447 & 0.0597606814972762 \tabularnewline
0.46 & 1.76784918791138 & 0.056531389768281 \tabularnewline
0.47 & 1.77925609348525 & 0.0529244068950824 \tabularnewline
0.48 & 1.78986603804042 & 0.0490386970640166 \tabularnewline
0.49 & 1.79963895974927 & 0.044980562362744 \tabularnewline
0.5 & 1.80855785717645 & 0.0408679976481644 \tabularnewline
0.51 & 1.81662969417204 & 0.0368185594280799 \tabularnewline
0.52 & 1.82388483258024 & 0.0329449701265238 \tabularnewline
0.53 & 1.83037485332083 & 0.0293470589692332 \tabularnewline
0.54 & 1.83616879065585 & 0.0261076737085724 \tabularnewline
0.55 & 1.84134802810974 & 0.023284561988235 \tabularnewline
0.56 & 1.84600036321825 & 0.0209013950951053 \tabularnewline
0.57 & 1.85021396877291 & 0.0189534900365649 \tabularnewline
0.58 & 1.85407206610293 & 0.0174003443667484 \tabularnewline
0.59 & 1.85764901316289 & 0.0161888088970981 \tabularnewline
0.6 & 1.8610081966809 & 0.0152535334254737 \tabularnewline
0.61 & 1.86420168433928 & 0.0145306264119762 \tabularnewline
0.62 & 1.86727117858377 & 0.0139738341601628 \tabularnewline
0.63 & 1.87024956381954 & 0.0135450437385851 \tabularnewline
0.64 & 1.87316234854570 & 0.0132177051527435 \tabularnewline
0.65 & 1.87602857608841 & 0.0129670198788148 \tabularnewline
0.66 & 1.87886121191031 & 0.0127657826341520 \tabularnewline
0.67 & 1.88166743578914 & 0.0125849669915212 \tabularnewline
0.68 & 1.88444948014229 & 0.0123938292120635 \tabularnewline
0.69 & 1.88720652792389 & 0.0121792955185734 \tabularnewline
0.7 & 1.88993771214076 & 0.0119369695044664 \tabularnewline
0.71 & 1.89264560596855 & 0.0116924367056155 \tabularnewline
0.72 & 1.89533905102343 & 0.0114826897375774 \tabularnewline
0.73 & 1.89803405665953 & 0.0113552094352443 \tabularnewline
0.74 & 1.90075199466641 & 0.0113373813139277 \tabularnewline
0.75 & 1.90351532175759 & 0.0114253378927227 \tabularnewline
0.76 & 1.9063422071009 & 0.0115833408822830 \tabularnewline
0.77 & 1.9092421977487 & 0.0117484074307074 \tabularnewline
0.78 & 1.91221501763074 & 0.0118614307295391 \tabularnewline
0.79 & 1.91525373837796 & 0.0118889095498749 \tabularnewline
0.8 & 1.91835228895439 & 0.0118412448663460 \tabularnewline
0.81 & 1.92151618612520 & 0.0117753536954497 \tabularnewline
0.82 & 1.92477481461429 & 0.0117911602997536 \tabularnewline
0.83 & 1.92819329215235 & 0.0120263126855064 \tabularnewline
0.84 & 1.93188112836025 & 0.0126387655218033 \tabularnewline
0.85 & 1.93599297623176 & 0.0137817327859285 \tabularnewline
0.86 & 1.94071463391523 & 0.0155365796756374 \tabularnewline
0.87 & 1.94622803132865 & 0.017821738264238 \tabularnewline
0.88 & 1.95265626744088 & 0.0203273262455266 \tabularnewline
0.89 & 1.96000562962434 & 0.0225347366828761 \tabularnewline
0.9 & 1.96814114568346 & 0.0238775014600448 \tabularnewline
0.91 & 1.97684308925234 & 0.0240248730210590 \tabularnewline
0.92 & 1.98598051940939 & 0.0232155448018116 \tabularnewline
0.93 & 1.9958037154643 & 0.0225168705813811 \tabularnewline
0.94 & 2.00731687557571 & 0.0238415405533027 \tabularnewline
0.95 & 2.02264357956375 & 0.0293930871533274 \tabularnewline
0.96 & 2.04514855018925 & 0.0405354239325054 \tabularnewline
0.97 & 2.07868004583650 & 0.0557851215561876 \tabularnewline
0.98 & 2.12467603341488 & 0.0673960291553261 \tabularnewline
0.99 & 2.17576113712187 & 0.0657978883686559 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16540&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]1.27905851307860[/C][C]0.0227232695592348[/C][/ROW]
[ROW][C]0.02[/C][C]1.30006794254938[/C][C]0.0402875347046911[/C][/ROW]
[ROW][C]0.03[/C][C]1.32675341994013[/C][C]0.0434534824946468[/C][/ROW]
[ROW][C]0.04[/C][C]1.35239801170174[/C][C]0.0403201116524364[/C][/ROW]
[ROW][C]0.05[/C][C]1.37428103959857[/C][C]0.0366358545919131[/C][/ROW]
[ROW][C]0.06[/C][C]1.39243558537048[/C][C]0.0335851179232407[/C][/ROW]
[ROW][C]0.07[/C][C]1.40763873849187[/C][C]0.0309264918937523[/C][/ROW]
[ROW][C]0.08[/C][C]1.42053229703499[/C][C]0.0282522611448676[/C][/ROW]
[ROW][C]0.09[/C][C]1.43150473816686[/C][C]0.0253608108131316[/C][/ROW]
[ROW][C]0.1[/C][C]1.44079818866916[/C][C]0.0223512850437676[/C][/ROW]
[ROW][C]0.11[/C][C]1.44861609073557[/C][C]0.0194863649422735[/C][/ROW]
[ROW][C]0.12[/C][C]1.45517751726236[/C][C]0.0170102644863770[/C][/ROW]
[ROW][C]0.13[/C][C]1.46072458192825[/C][C]0.0150704731322526[/C][/ROW]
[ROW][C]0.14[/C][C]1.46550675068365[/C][C]0.0137393559531384[/C][/ROW]
[ROW][C]0.15[/C][C]1.46976146613004[/C][C]0.0130275913595674[/C][/ROW]
[ROW][C]0.16[/C][C]1.47369944911654[/C][C]0.0128919225998452[/C][/ROW]
[ROW][C]0.17[/C][C]1.47749627465278[/C][C]0.0132336389996900[/C][/ROW]
[ROW][C]0.18[/C][C]1.48129045623775[/C][C]0.0139356361109038[/C][/ROW]
[ROW][C]0.19[/C][C]1.48518824217215[/C][C]0.0149129096336857[/C][/ROW]
[ROW][C]0.2[/C][C]1.48927396639607[/C][C]0.0161446927040478[/C][/ROW]
[ROW][C]0.21[/C][C]1.49362262888705[/C][C]0.0176690580502163[/C][/ROW]
[ROW][C]0.22[/C][C]1.49831023855301[/C][C]0.0195494888887374[/C][/ROW]
[ROW][C]0.23[/C][C]1.50341837541872[/C][C]0.0218348471374872[/C][/ROW]
[ROW][C]0.24[/C][C]1.50903199291619[/C][C]0.0245383190740773[/C][/ROW]
[ROW][C]0.25[/C][C]1.51523232207801[/C][C]0.0276026628111763[/C][/ROW]
[ROW][C]0.26[/C][C]1.52208847971083[/C][C]0.0309391619597886[/C][/ROW]
[ROW][C]0.27[/C][C]1.52965133737685[/C][C]0.034444778803719[/C][/ROW]
[ROW][C]0.28[/C][C]1.53795161688309[/C][C]0.0380397808215211[/C][/ROW]
[ROW][C]0.29[/C][C]1.54700196641337[/C][C]0.0416637067083833[/C][/ROW]
[ROW][C]0.3[/C][C]1.55680102821134[/C][C]0.0452930225007383[/C][/ROW]
[ROW][C]0.31[/C][C]1.5673369578739[/C][C]0.0488923632132941[/C][/ROW]
[ROW][C]0.32[/C][C]1.57858856994657[/C][C]0.0524252817629356[/C][/ROW]
[ROW][C]0.33[/C][C]1.59052374609176[/C][C]0.0558296620877065[/C][/ROW]
[ROW][C]0.34[/C][C]1.60309616875634[/C][C]0.0590053566349573[/C][/ROW]
[ROW][C]0.35[/C][C]1.61624219113806[/C][C]0.0618462086727834[/C][/ROW]
[ROW][C]0.36[/C][C]1.62987949088829[/C][C]0.064248704407756[/C][/ROW]
[ROW][C]0.37[/C][C]1.64390829754878[/C][C]0.0661257891752777[/C][/ROW]
[ROW][C]0.38[/C][C]1.65821492395328[/C][C]0.0674218924991478[/C][/ROW]
[ROW][C]0.39[/C][C]1.67267656565754[/C][C]0.0681079071432[/C][/ROW]
[ROW][C]0.4[/C][C]1.68716613555667[/C][C]0.0681814432646136[/C][/ROW]
[ROW][C]0.41[/C][C]1.70155624523867[/C][C]0.0676440837945271[/C][/ROW]
[ROW][C]0.42[/C][C]1.71572206931934[/C][C]0.0665128770376982[/C][/ROW]
[ROW][C]0.43[/C][C]1.72954340360727[/C][C]0.064800858783102[/C][/ROW]
[ROW][C]0.44[/C][C]1.74290651558417[/C][C]0.0625370200016767[/C][/ROW]
[ROW][C]0.45[/C][C]1.75570632889447[/C][C]0.0597606814972762[/C][/ROW]
[ROW][C]0.46[/C][C]1.76784918791138[/C][C]0.056531389768281[/C][/ROW]
[ROW][C]0.47[/C][C]1.77925609348525[/C][C]0.0529244068950824[/C][/ROW]
[ROW][C]0.48[/C][C]1.78986603804042[/C][C]0.0490386970640166[/C][/ROW]
[ROW][C]0.49[/C][C]1.79963895974927[/C][C]0.044980562362744[/C][/ROW]
[ROW][C]0.5[/C][C]1.80855785717645[/C][C]0.0408679976481644[/C][/ROW]
[ROW][C]0.51[/C][C]1.81662969417204[/C][C]0.0368185594280799[/C][/ROW]
[ROW][C]0.52[/C][C]1.82388483258024[/C][C]0.0329449701265238[/C][/ROW]
[ROW][C]0.53[/C][C]1.83037485332083[/C][C]0.0293470589692332[/C][/ROW]
[ROW][C]0.54[/C][C]1.83616879065585[/C][C]0.0261076737085724[/C][/ROW]
[ROW][C]0.55[/C][C]1.84134802810974[/C][C]0.023284561988235[/C][/ROW]
[ROW][C]0.56[/C][C]1.84600036321825[/C][C]0.0209013950951053[/C][/ROW]
[ROW][C]0.57[/C][C]1.85021396877291[/C][C]0.0189534900365649[/C][/ROW]
[ROW][C]0.58[/C][C]1.85407206610293[/C][C]0.0174003443667484[/C][/ROW]
[ROW][C]0.59[/C][C]1.85764901316289[/C][C]0.0161888088970981[/C][/ROW]
[ROW][C]0.6[/C][C]1.8610081966809[/C][C]0.0152535334254737[/C][/ROW]
[ROW][C]0.61[/C][C]1.86420168433928[/C][C]0.0145306264119762[/C][/ROW]
[ROW][C]0.62[/C][C]1.86727117858377[/C][C]0.0139738341601628[/C][/ROW]
[ROW][C]0.63[/C][C]1.87024956381954[/C][C]0.0135450437385851[/C][/ROW]
[ROW][C]0.64[/C][C]1.87316234854570[/C][C]0.0132177051527435[/C][/ROW]
[ROW][C]0.65[/C][C]1.87602857608841[/C][C]0.0129670198788148[/C][/ROW]
[ROW][C]0.66[/C][C]1.87886121191031[/C][C]0.0127657826341520[/C][/ROW]
[ROW][C]0.67[/C][C]1.88166743578914[/C][C]0.0125849669915212[/C][/ROW]
[ROW][C]0.68[/C][C]1.88444948014229[/C][C]0.0123938292120635[/C][/ROW]
[ROW][C]0.69[/C][C]1.88720652792389[/C][C]0.0121792955185734[/C][/ROW]
[ROW][C]0.7[/C][C]1.88993771214076[/C][C]0.0119369695044664[/C][/ROW]
[ROW][C]0.71[/C][C]1.89264560596855[/C][C]0.0116924367056155[/C][/ROW]
[ROW][C]0.72[/C][C]1.89533905102343[/C][C]0.0114826897375774[/C][/ROW]
[ROW][C]0.73[/C][C]1.89803405665953[/C][C]0.0113552094352443[/C][/ROW]
[ROW][C]0.74[/C][C]1.90075199466641[/C][C]0.0113373813139277[/C][/ROW]
[ROW][C]0.75[/C][C]1.90351532175759[/C][C]0.0114253378927227[/C][/ROW]
[ROW][C]0.76[/C][C]1.9063422071009[/C][C]0.0115833408822830[/C][/ROW]
[ROW][C]0.77[/C][C]1.9092421977487[/C][C]0.0117484074307074[/C][/ROW]
[ROW][C]0.78[/C][C]1.91221501763074[/C][C]0.0118614307295391[/C][/ROW]
[ROW][C]0.79[/C][C]1.91525373837796[/C][C]0.0118889095498749[/C][/ROW]
[ROW][C]0.8[/C][C]1.91835228895439[/C][C]0.0118412448663460[/C][/ROW]
[ROW][C]0.81[/C][C]1.92151618612520[/C][C]0.0117753536954497[/C][/ROW]
[ROW][C]0.82[/C][C]1.92477481461429[/C][C]0.0117911602997536[/C][/ROW]
[ROW][C]0.83[/C][C]1.92819329215235[/C][C]0.0120263126855064[/C][/ROW]
[ROW][C]0.84[/C][C]1.93188112836025[/C][C]0.0126387655218033[/C][/ROW]
[ROW][C]0.85[/C][C]1.93599297623176[/C][C]0.0137817327859285[/C][/ROW]
[ROW][C]0.86[/C][C]1.94071463391523[/C][C]0.0155365796756374[/C][/ROW]
[ROW][C]0.87[/C][C]1.94622803132865[/C][C]0.017821738264238[/C][/ROW]
[ROW][C]0.88[/C][C]1.95265626744088[/C][C]0.0203273262455266[/C][/ROW]
[ROW][C]0.89[/C][C]1.96000562962434[/C][C]0.0225347366828761[/C][/ROW]
[ROW][C]0.9[/C][C]1.96814114568346[/C][C]0.0238775014600448[/C][/ROW]
[ROW][C]0.91[/C][C]1.97684308925234[/C][C]0.0240248730210590[/C][/ROW]
[ROW][C]0.92[/C][C]1.98598051940939[/C][C]0.0232155448018116[/C][/ROW]
[ROW][C]0.93[/C][C]1.9958037154643[/C][C]0.0225168705813811[/C][/ROW]
[ROW][C]0.94[/C][C]2.00731687557571[/C][C]0.0238415405533027[/C][/ROW]
[ROW][C]0.95[/C][C]2.02264357956375[/C][C]0.0293930871533274[/C][/ROW]
[ROW][C]0.96[/C][C]2.04514855018925[/C][C]0.0405354239325054[/C][/ROW]
[ROW][C]0.97[/C][C]2.07868004583650[/C][C]0.0557851215561876[/C][/ROW]
[ROW][C]0.98[/C][C]2.12467603341488[/C][C]0.0673960291553261[/C][/ROW]
[ROW][C]0.99[/C][C]2.17576113712187[/C][C]0.0657978883686559[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16540&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16540&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
0.011.279058513078600.0227232695592348
0.021.300067942549380.0402875347046911
0.031.326753419940130.0434534824946468
0.041.352398011701740.0403201116524364
0.051.374281039598570.0366358545919131
0.061.392435585370480.0335851179232407
0.071.407638738491870.0309264918937523
0.081.420532297034990.0282522611448676
0.091.431504738166860.0253608108131316
0.11.440798188669160.0223512850437676
0.111.448616090735570.0194863649422735
0.121.455177517262360.0170102644863770
0.131.460724581928250.0150704731322526
0.141.465506750683650.0137393559531384
0.151.469761466130040.0130275913595674
0.161.473699449116540.0128919225998452
0.171.477496274652780.0132336389996900
0.181.481290456237750.0139356361109038
0.191.485188242172150.0149129096336857
0.21.489273966396070.0161446927040478
0.211.493622628887050.0176690580502163
0.221.498310238553010.0195494888887374
0.231.503418375418720.0218348471374872
0.241.509031992916190.0245383190740773
0.251.515232322078010.0276026628111763
0.261.522088479710830.0309391619597886
0.271.529651337376850.034444778803719
0.281.537951616883090.0380397808215211
0.291.547001966413370.0416637067083833
0.31.556801028211340.0452930225007383
0.311.56733695787390.0488923632132941
0.321.578588569946570.0524252817629356
0.331.590523746091760.0558296620877065
0.341.603096168756340.0590053566349573
0.351.616242191138060.0618462086727834
0.361.629879490888290.064248704407756
0.371.643908297548780.0661257891752777
0.381.658214923953280.0674218924991478
0.391.672676565657540.0681079071432
0.41.687166135556670.0681814432646136
0.411.701556245238670.0676440837945271
0.421.715722069319340.0665128770376982
0.431.729543403607270.064800858783102
0.441.742906515584170.0625370200016767
0.451.755706328894470.0597606814972762
0.461.767849187911380.056531389768281
0.471.779256093485250.0529244068950824
0.481.789866038040420.0490386970640166
0.491.799638959749270.044980562362744
0.51.808557857176450.0408679976481644
0.511.816629694172040.0368185594280799
0.521.823884832580240.0329449701265238
0.531.830374853320830.0293470589692332
0.541.836168790655850.0261076737085724
0.551.841348028109740.023284561988235
0.561.846000363218250.0209013950951053
0.571.850213968772910.0189534900365649
0.581.854072066102930.0174003443667484
0.591.857649013162890.0161888088970981
0.61.86100819668090.0152535334254737
0.611.864201684339280.0145306264119762
0.621.867271178583770.0139738341601628
0.631.870249563819540.0135450437385851
0.641.873162348545700.0132177051527435
0.651.876028576088410.0129670198788148
0.661.878861211910310.0127657826341520
0.671.881667435789140.0125849669915212
0.681.884449480142290.0123938292120635
0.691.887206527923890.0121792955185734
0.71.889937712140760.0119369695044664
0.711.892645605968550.0116924367056155
0.721.895339051023430.0114826897375774
0.731.898034056659530.0113552094352443
0.741.900751994666410.0113373813139277
0.751.903515321757590.0114253378927227
0.761.90634220710090.0115833408822830
0.771.90924219774870.0117484074307074
0.781.912215017630740.0118614307295391
0.791.915253738377960.0118889095498749
0.81.918352288954390.0118412448663460
0.811.921516186125200.0117753536954497
0.821.924774814614290.0117911602997536
0.831.928193292152350.0120263126855064
0.841.931881128360250.0126387655218033
0.851.935992976231760.0137817327859285
0.861.940714633915230.0155365796756374
0.871.946228031328650.017821738264238
0.881.952656267440880.0203273262455266
0.891.960005629624340.0225347366828761
0.91.968141145683460.0238775014600448
0.911.976843089252340.0240248730210590
0.921.985980519409390.0232155448018116
0.931.99580371546430.0225168705813811
0.942.007316875575710.0238415405533027
0.952.022643579563750.0293930871533274
0.962.045148550189250.0405354239325054
0.972.078680045836500.0557851215561876
0.982.124676033414880.0673960291553261
0.992.175761137121870.0657978883686559



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')