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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 computationFri, 04 Oct 2013 08:01:44 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/04/t1380888143jzjzrfjcdzfnps8.htm/, Retrieved Mon, 29 Apr 2024 07:42:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213117, Retrieved Mon, 29 Apr 2024 07:42:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact106

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] [] [2013-10-04 12:01:44] [40534ca708dbd0a01437b63d5245c315] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-2,5
4,4
13,7
12,3
13,4
2,2
1,7
-7,2
-4,8
-2,9
-2,4
-2,5
-5,3
-7,1
-8
-8,9
-7,7
-1,1
4
9,6
10,9
13
14,9
20,1
10,8
11
3,8
10,8
7,6
10,2
2,2
-0,1
-1,7
-4,8
-9,9
-13,5
-18,1
-18
-15,7
-15,2
-15,1
-17,9
-14,5
-9,4
-4,2
-2,2
4,5
12,4
15,8
11,5
14,1
18,8
26,1
27,9
25,4
23,4
11,5
9,9
8,1
12,6
8,2
5,4
1
-2,9
-3,7
-7
-7,2
-11,8
-2,1
1,2
2,5
4,8
-6,6
-16
-22,7
-17,7
-18,2
-18,9
-16
-12,2
-17,1
-18,6
-17,5
-24,9

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213117&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213117&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213117&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-23.8385321844642.41935405611364
0.02-22.22192091442752.48025736812368
0.03-20.70613855563072.03763778661377
0.04-19.58853196121711.39273105259057
0.05-18.86764953149830.877491259160845
0.06-18.42387285820670.594220832453921
0.07-18.13302818244220.505830005806937
0.08-17.90653929901440.540735708255445
0.09-17.69197662823840.641134059962839
0.1-17.4620306776320.77151581377949
0.11-17.2045322862650.910328775146843
0.12-16.91577799085391.04599915434653
0.13-16.59608248762971.17661786358954
0.14-16.24665725656531.30844895668167
0.15-15.86765609095951.45186316837415
0.16-15.45749574842851.61529106195996
0.17-15.01338445077891.80031833165764
0.18-14.53268038746831.99972642319635
0.19-14.01450104080442.19906483843567
0.2-13.46100912812352.38014585946627
0.21-12.87798306135262.52516927167871
0.22-12.27454364604172.62017258908565
0.23-11.66215412295652.6574323549501
0.24-11.0531719955952.63645408131095
0.25-10.45928825020042.56363138663288
0.26-9.890158077160632.45091749507604
0.27-9.352440167648192.31370015375157
0.28-8.849353550003032.16864261203973
0.29-8.380757920015812.03129394366503
0.3-7.943680738491991.91427881892219
0.31-7.533158316998571.82558683401673
0.32-7.14322966106171.76778057461555
0.33-6.767919444300871.73801634001809
0.34-6.402067133560561.72931466706908
0.35-6.041898222166331.73239096375109
0.36-5.685283853441821.73784813175822
0.37-5.331688234624381.73780316085052
0.38-4.981850412938731.72699638230809
0.39-4.637281339343941.70336889178908
0.4-4.299675162545611.66807884230472
0.41-3.970335462526771.62515283314425
0.42-3.649705355943331.58082699912784
0.43-3.337068839689971.54259331839311
0.44-3.030462897242141.51804697973489
0.45-2.726808625284231.51354593653592
0.46-2.422237570392651.53291563531054
0.47-2.112559761900891.57653477199917
0.48-1.793796674558741.64112288926514
0.49-1.462690087320551.72039716709966
0.5-1.117100198173011.80628106570921
0.51-0.7562246160910981.89032324569518
0.52-0.3806015786787321.9650676453763
0.530.008100080988711342.02511019129962
0.540.4074633698491832.06780605838938
0.550.8148079008191762.09348048403089
0.561.227692525438312.10519482267166
0.571.644353368504542.10811490114901
0.582.06401045383172.10860850784855
0.592.48699985194022.11320234707414
0.62.914714124347972.12755886697173
0.613.349357629194712.15553253203986
0.623.793543685849342.19840687039682
0.634.249778548086052.25440596338408
0.644.719893708199012.31857507362181
0.655.204502487073012.38312906975194
0.665.702565611142822.43837179659727
0.676.211148177702382.47396690252263
0.686.725432456258582.48049278674942
0.697.239016399366852.45091388496941
0.77.744480886576272.38183201184118
0.718.234158713755972.27410469188759
0.728.700996455189052.13295800121083
0.739.139376591987741.96732268576286
0.749.545767738952731.78872971028466
0.759.919096350571561.60982923533367
0.7610.26078026958191.44274704248188
0.7710.57442572456761.29759117739435
0.7810.86525513026391.18103990731172
0.7911.13939168589291.09556179319505
0.811.40316627882951.03943622137235
0.8111.66262310095251.00802917069291
0.8211.92337951218510.996024791835449
0.8312.19094799539480.999962606289086
0.8412.47156288751341.02031464514806
0.8512.77347575196331.06285744721684
0.8613.10857901833771.139268867873
0.8713.49406357434911.26623023857864
0.8813.95360317730261.46203960901537
0.8914.51733605195211.74003197065706
0.915.21980374554582.10008712157261
0.9116.09513458094332.52111399513881
0.9217.16913552452132.9572438411942
0.9318.44855024490593.33860304352711
0.9419.90901789930463.57560035570051
0.9521.48673458420573.56924132418607
0.9623.08504038115443.24387010971225
0.9724.60718180308612.62411166271949
0.9825.99330283687361.94602883300279
0.9927.17103320090121.65361816936432

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -23.838532184464 & 2.41935405611364 \tabularnewline
0.02 & -22.2219209144275 & 2.48025736812368 \tabularnewline
0.03 & -20.7061385556307 & 2.03763778661377 \tabularnewline
0.04 & -19.5885319612171 & 1.39273105259057 \tabularnewline
0.05 & -18.8676495314983 & 0.877491259160845 \tabularnewline
0.06 & -18.4238728582067 & 0.594220832453921 \tabularnewline
0.07 & -18.1330281824422 & 0.505830005806937 \tabularnewline
0.08 & -17.9065392990144 & 0.540735708255445 \tabularnewline
0.09 & -17.6919766282384 & 0.641134059962839 \tabularnewline
0.1 & -17.462030677632 & 0.77151581377949 \tabularnewline
0.11 & -17.204532286265 & 0.910328775146843 \tabularnewline
0.12 & -16.9157779908539 & 1.04599915434653 \tabularnewline
0.13 & -16.5960824876297 & 1.17661786358954 \tabularnewline
0.14 & -16.2466572565653 & 1.30844895668167 \tabularnewline
0.15 & -15.8676560909595 & 1.45186316837415 \tabularnewline
0.16 & -15.4574957484285 & 1.61529106195996 \tabularnewline
0.17 & -15.0133844507789 & 1.80031833165764 \tabularnewline
0.18 & -14.5326803874683 & 1.99972642319635 \tabularnewline
0.19 & -14.0145010408044 & 2.19906483843567 \tabularnewline
0.2 & -13.4610091281235 & 2.38014585946627 \tabularnewline
0.21 & -12.8779830613526 & 2.52516927167871 \tabularnewline
0.22 & -12.2745436460417 & 2.62017258908565 \tabularnewline
0.23 & -11.6621541229565 & 2.6574323549501 \tabularnewline
0.24 & -11.053171995595 & 2.63645408131095 \tabularnewline
0.25 & -10.4592882502004 & 2.56363138663288 \tabularnewline
0.26 & -9.89015807716063 & 2.45091749507604 \tabularnewline
0.27 & -9.35244016764819 & 2.31370015375157 \tabularnewline
0.28 & -8.84935355000303 & 2.16864261203973 \tabularnewline
0.29 & -8.38075792001581 & 2.03129394366503 \tabularnewline
0.3 & -7.94368073849199 & 1.91427881892219 \tabularnewline
0.31 & -7.53315831699857 & 1.82558683401673 \tabularnewline
0.32 & -7.1432296610617 & 1.76778057461555 \tabularnewline
0.33 & -6.76791944430087 & 1.73801634001809 \tabularnewline
0.34 & -6.40206713356056 & 1.72931466706908 \tabularnewline
0.35 & -6.04189822216633 & 1.73239096375109 \tabularnewline
0.36 & -5.68528385344182 & 1.73784813175822 \tabularnewline
0.37 & -5.33168823462438 & 1.73780316085052 \tabularnewline
0.38 & -4.98185041293873 & 1.72699638230809 \tabularnewline
0.39 & -4.63728133934394 & 1.70336889178908 \tabularnewline
0.4 & -4.29967516254561 & 1.66807884230472 \tabularnewline
0.41 & -3.97033546252677 & 1.62515283314425 \tabularnewline
0.42 & -3.64970535594333 & 1.58082699912784 \tabularnewline
0.43 & -3.33706883968997 & 1.54259331839311 \tabularnewline
0.44 & -3.03046289724214 & 1.51804697973489 \tabularnewline
0.45 & -2.72680862528423 & 1.51354593653592 \tabularnewline
0.46 & -2.42223757039265 & 1.53291563531054 \tabularnewline
0.47 & -2.11255976190089 & 1.57653477199917 \tabularnewline
0.48 & -1.79379667455874 & 1.64112288926514 \tabularnewline
0.49 & -1.46269008732055 & 1.72039716709966 \tabularnewline
0.5 & -1.11710019817301 & 1.80628106570921 \tabularnewline
0.51 & -0.756224616091098 & 1.89032324569518 \tabularnewline
0.52 & -0.380601578678732 & 1.9650676453763 \tabularnewline
0.53 & 0.00810008098871134 & 2.02511019129962 \tabularnewline
0.54 & 0.407463369849183 & 2.06780605838938 \tabularnewline
0.55 & 0.814807900819176 & 2.09348048403089 \tabularnewline
0.56 & 1.22769252543831 & 2.10519482267166 \tabularnewline
0.57 & 1.64435336850454 & 2.10811490114901 \tabularnewline
0.58 & 2.0640104538317 & 2.10860850784855 \tabularnewline
0.59 & 2.4869998519402 & 2.11320234707414 \tabularnewline
0.6 & 2.91471412434797 & 2.12755886697173 \tabularnewline
0.61 & 3.34935762919471 & 2.15553253203986 \tabularnewline
0.62 & 3.79354368584934 & 2.19840687039682 \tabularnewline
0.63 & 4.24977854808605 & 2.25440596338408 \tabularnewline
0.64 & 4.71989370819901 & 2.31857507362181 \tabularnewline
0.65 & 5.20450248707301 & 2.38312906975194 \tabularnewline
0.66 & 5.70256561114282 & 2.43837179659727 \tabularnewline
0.67 & 6.21114817770238 & 2.47396690252263 \tabularnewline
0.68 & 6.72543245625858 & 2.48049278674942 \tabularnewline
0.69 & 7.23901639936685 & 2.45091388496941 \tabularnewline
0.7 & 7.74448088657627 & 2.38183201184118 \tabularnewline
0.71 & 8.23415871375597 & 2.27410469188759 \tabularnewline
0.72 & 8.70099645518905 & 2.13295800121083 \tabularnewline
0.73 & 9.13937659198774 & 1.96732268576286 \tabularnewline
0.74 & 9.54576773895273 & 1.78872971028466 \tabularnewline
0.75 & 9.91909635057156 & 1.60982923533367 \tabularnewline
0.76 & 10.2607802695819 & 1.44274704248188 \tabularnewline
0.77 & 10.5744257245676 & 1.29759117739435 \tabularnewline
0.78 & 10.8652551302639 & 1.18103990731172 \tabularnewline
0.79 & 11.1393916858929 & 1.09556179319505 \tabularnewline
0.8 & 11.4031662788295 & 1.03943622137235 \tabularnewline
0.81 & 11.6626231009525 & 1.00802917069291 \tabularnewline
0.82 & 11.9233795121851 & 0.996024791835449 \tabularnewline
0.83 & 12.1909479953948 & 0.999962606289086 \tabularnewline
0.84 & 12.4715628875134 & 1.02031464514806 \tabularnewline
0.85 & 12.7734757519633 & 1.06285744721684 \tabularnewline
0.86 & 13.1085790183377 & 1.139268867873 \tabularnewline
0.87 & 13.4940635743491 & 1.26623023857864 \tabularnewline
0.88 & 13.9536031773026 & 1.46203960901537 \tabularnewline
0.89 & 14.5173360519521 & 1.74003197065706 \tabularnewline
0.9 & 15.2198037455458 & 2.10008712157261 \tabularnewline
0.91 & 16.0951345809433 & 2.52111399513881 \tabularnewline
0.92 & 17.1691355245213 & 2.9572438411942 \tabularnewline
0.93 & 18.4485502449059 & 3.33860304352711 \tabularnewline
0.94 & 19.9090178993046 & 3.57560035570051 \tabularnewline
0.95 & 21.4867345842057 & 3.56924132418607 \tabularnewline
0.96 & 23.0850403811544 & 3.24387010971225 \tabularnewline
0.97 & 24.6071818030861 & 2.62411166271949 \tabularnewline
0.98 & 25.9933028368736 & 1.94602883300279 \tabularnewline
0.99 & 27.1710332009012 & 1.65361816936432 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213117&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]-23.838532184464[/C][C]2.41935405611364[/C][/ROW]
[ROW][C]0.02[/C][C]-22.2219209144275[/C][C]2.48025736812368[/C][/ROW]
[ROW][C]0.03[/C][C]-20.7061385556307[/C][C]2.03763778661377[/C][/ROW]
[ROW][C]0.04[/C][C]-19.5885319612171[/C][C]1.39273105259057[/C][/ROW]
[ROW][C]0.05[/C][C]-18.8676495314983[/C][C]0.877491259160845[/C][/ROW]
[ROW][C]0.06[/C][C]-18.4238728582067[/C][C]0.594220832453921[/C][/ROW]
[ROW][C]0.07[/C][C]-18.1330281824422[/C][C]0.505830005806937[/C][/ROW]
[ROW][C]0.08[/C][C]-17.9065392990144[/C][C]0.540735708255445[/C][/ROW]
[ROW][C]0.09[/C][C]-17.6919766282384[/C][C]0.641134059962839[/C][/ROW]
[ROW][C]0.1[/C][C]-17.462030677632[/C][C]0.77151581377949[/C][/ROW]
[ROW][C]0.11[/C][C]-17.204532286265[/C][C]0.910328775146843[/C][/ROW]
[ROW][C]0.12[/C][C]-16.9157779908539[/C][C]1.04599915434653[/C][/ROW]
[ROW][C]0.13[/C][C]-16.5960824876297[/C][C]1.17661786358954[/C][/ROW]
[ROW][C]0.14[/C][C]-16.2466572565653[/C][C]1.30844895668167[/C][/ROW]
[ROW][C]0.15[/C][C]-15.8676560909595[/C][C]1.45186316837415[/C][/ROW]
[ROW][C]0.16[/C][C]-15.4574957484285[/C][C]1.61529106195996[/C][/ROW]
[ROW][C]0.17[/C][C]-15.0133844507789[/C][C]1.80031833165764[/C][/ROW]
[ROW][C]0.18[/C][C]-14.5326803874683[/C][C]1.99972642319635[/C][/ROW]
[ROW][C]0.19[/C][C]-14.0145010408044[/C][C]2.19906483843567[/C][/ROW]
[ROW][C]0.2[/C][C]-13.4610091281235[/C][C]2.38014585946627[/C][/ROW]
[ROW][C]0.21[/C][C]-12.8779830613526[/C][C]2.52516927167871[/C][/ROW]
[ROW][C]0.22[/C][C]-12.2745436460417[/C][C]2.62017258908565[/C][/ROW]
[ROW][C]0.23[/C][C]-11.6621541229565[/C][C]2.6574323549501[/C][/ROW]
[ROW][C]0.24[/C][C]-11.053171995595[/C][C]2.63645408131095[/C][/ROW]
[ROW][C]0.25[/C][C]-10.4592882502004[/C][C]2.56363138663288[/C][/ROW]
[ROW][C]0.26[/C][C]-9.89015807716063[/C][C]2.45091749507604[/C][/ROW]
[ROW][C]0.27[/C][C]-9.35244016764819[/C][C]2.31370015375157[/C][/ROW]
[ROW][C]0.28[/C][C]-8.84935355000303[/C][C]2.16864261203973[/C][/ROW]
[ROW][C]0.29[/C][C]-8.38075792001581[/C][C]2.03129394366503[/C][/ROW]
[ROW][C]0.3[/C][C]-7.94368073849199[/C][C]1.91427881892219[/C][/ROW]
[ROW][C]0.31[/C][C]-7.53315831699857[/C][C]1.82558683401673[/C][/ROW]
[ROW][C]0.32[/C][C]-7.1432296610617[/C][C]1.76778057461555[/C][/ROW]
[ROW][C]0.33[/C][C]-6.76791944430087[/C][C]1.73801634001809[/C][/ROW]
[ROW][C]0.34[/C][C]-6.40206713356056[/C][C]1.72931466706908[/C][/ROW]
[ROW][C]0.35[/C][C]-6.04189822216633[/C][C]1.73239096375109[/C][/ROW]
[ROW][C]0.36[/C][C]-5.68528385344182[/C][C]1.73784813175822[/C][/ROW]
[ROW][C]0.37[/C][C]-5.33168823462438[/C][C]1.73780316085052[/C][/ROW]
[ROW][C]0.38[/C][C]-4.98185041293873[/C][C]1.72699638230809[/C][/ROW]
[ROW][C]0.39[/C][C]-4.63728133934394[/C][C]1.70336889178908[/C][/ROW]
[ROW][C]0.4[/C][C]-4.29967516254561[/C][C]1.66807884230472[/C][/ROW]
[ROW][C]0.41[/C][C]-3.97033546252677[/C][C]1.62515283314425[/C][/ROW]
[ROW][C]0.42[/C][C]-3.64970535594333[/C][C]1.58082699912784[/C][/ROW]
[ROW][C]0.43[/C][C]-3.33706883968997[/C][C]1.54259331839311[/C][/ROW]
[ROW][C]0.44[/C][C]-3.03046289724214[/C][C]1.51804697973489[/C][/ROW]
[ROW][C]0.45[/C][C]-2.72680862528423[/C][C]1.51354593653592[/C][/ROW]
[ROW][C]0.46[/C][C]-2.42223757039265[/C][C]1.53291563531054[/C][/ROW]
[ROW][C]0.47[/C][C]-2.11255976190089[/C][C]1.57653477199917[/C][/ROW]
[ROW][C]0.48[/C][C]-1.79379667455874[/C][C]1.64112288926514[/C][/ROW]
[ROW][C]0.49[/C][C]-1.46269008732055[/C][C]1.72039716709966[/C][/ROW]
[ROW][C]0.5[/C][C]-1.11710019817301[/C][C]1.80628106570921[/C][/ROW]
[ROW][C]0.51[/C][C]-0.756224616091098[/C][C]1.89032324569518[/C][/ROW]
[ROW][C]0.52[/C][C]-0.380601578678732[/C][C]1.9650676453763[/C][/ROW]
[ROW][C]0.53[/C][C]0.00810008098871134[/C][C]2.02511019129962[/C][/ROW]
[ROW][C]0.54[/C][C]0.407463369849183[/C][C]2.06780605838938[/C][/ROW]
[ROW][C]0.55[/C][C]0.814807900819176[/C][C]2.09348048403089[/C][/ROW]
[ROW][C]0.56[/C][C]1.22769252543831[/C][C]2.10519482267166[/C][/ROW]
[ROW][C]0.57[/C][C]1.64435336850454[/C][C]2.10811490114901[/C][/ROW]
[ROW][C]0.58[/C][C]2.0640104538317[/C][C]2.10860850784855[/C][/ROW]
[ROW][C]0.59[/C][C]2.4869998519402[/C][C]2.11320234707414[/C][/ROW]
[ROW][C]0.6[/C][C]2.91471412434797[/C][C]2.12755886697173[/C][/ROW]
[ROW][C]0.61[/C][C]3.34935762919471[/C][C]2.15553253203986[/C][/ROW]
[ROW][C]0.62[/C][C]3.79354368584934[/C][C]2.19840687039682[/C][/ROW]
[ROW][C]0.63[/C][C]4.24977854808605[/C][C]2.25440596338408[/C][/ROW]
[ROW][C]0.64[/C][C]4.71989370819901[/C][C]2.31857507362181[/C][/ROW]
[ROW][C]0.65[/C][C]5.20450248707301[/C][C]2.38312906975194[/C][/ROW]
[ROW][C]0.66[/C][C]5.70256561114282[/C][C]2.43837179659727[/C][/ROW]
[ROW][C]0.67[/C][C]6.21114817770238[/C][C]2.47396690252263[/C][/ROW]
[ROW][C]0.68[/C][C]6.72543245625858[/C][C]2.48049278674942[/C][/ROW]
[ROW][C]0.69[/C][C]7.23901639936685[/C][C]2.45091388496941[/C][/ROW]
[ROW][C]0.7[/C][C]7.74448088657627[/C][C]2.38183201184118[/C][/ROW]
[ROW][C]0.71[/C][C]8.23415871375597[/C][C]2.27410469188759[/C][/ROW]
[ROW][C]0.72[/C][C]8.70099645518905[/C][C]2.13295800121083[/C][/ROW]
[ROW][C]0.73[/C][C]9.13937659198774[/C][C]1.96732268576286[/C][/ROW]
[ROW][C]0.74[/C][C]9.54576773895273[/C][C]1.78872971028466[/C][/ROW]
[ROW][C]0.75[/C][C]9.91909635057156[/C][C]1.60982923533367[/C][/ROW]
[ROW][C]0.76[/C][C]10.2607802695819[/C][C]1.44274704248188[/C][/ROW]
[ROW][C]0.77[/C][C]10.5744257245676[/C][C]1.29759117739435[/C][/ROW]
[ROW][C]0.78[/C][C]10.8652551302639[/C][C]1.18103990731172[/C][/ROW]
[ROW][C]0.79[/C][C]11.1393916858929[/C][C]1.09556179319505[/C][/ROW]
[ROW][C]0.8[/C][C]11.4031662788295[/C][C]1.03943622137235[/C][/ROW]
[ROW][C]0.81[/C][C]11.6626231009525[/C][C]1.00802917069291[/C][/ROW]
[ROW][C]0.82[/C][C]11.9233795121851[/C][C]0.996024791835449[/C][/ROW]
[ROW][C]0.83[/C][C]12.1909479953948[/C][C]0.999962606289086[/C][/ROW]
[ROW][C]0.84[/C][C]12.4715628875134[/C][C]1.02031464514806[/C][/ROW]
[ROW][C]0.85[/C][C]12.7734757519633[/C][C]1.06285744721684[/C][/ROW]
[ROW][C]0.86[/C][C]13.1085790183377[/C][C]1.139268867873[/C][/ROW]
[ROW][C]0.87[/C][C]13.4940635743491[/C][C]1.26623023857864[/C][/ROW]
[ROW][C]0.88[/C][C]13.9536031773026[/C][C]1.46203960901537[/C][/ROW]
[ROW][C]0.89[/C][C]14.5173360519521[/C][C]1.74003197065706[/C][/ROW]
[ROW][C]0.9[/C][C]15.2198037455458[/C][C]2.10008712157261[/C][/ROW]
[ROW][C]0.91[/C][C]16.0951345809433[/C][C]2.52111399513881[/C][/ROW]
[ROW][C]0.92[/C][C]17.1691355245213[/C][C]2.9572438411942[/C][/ROW]
[ROW][C]0.93[/C][C]18.4485502449059[/C][C]3.33860304352711[/C][/ROW]
[ROW][C]0.94[/C][C]19.9090178993046[/C][C]3.57560035570051[/C][/ROW]
[ROW][C]0.95[/C][C]21.4867345842057[/C][C]3.56924132418607[/C][/ROW]
[ROW][C]0.96[/C][C]23.0850403811544[/C][C]3.24387010971225[/C][/ROW]
[ROW][C]0.97[/C][C]24.6071818030861[/C][C]2.62411166271949[/C][/ROW]
[ROW][C]0.98[/C][C]25.9933028368736[/C][C]1.94602883300279[/C][/ROW]
[ROW][C]0.99[/C][C]27.1710332009012[/C][C]1.65361816936432[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213117&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213117&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
0.01-23.8385321844642.41935405611364
0.02-22.22192091442752.48025736812368
0.03-20.70613855563072.03763778661377
0.04-19.58853196121711.39273105259057
0.05-18.86764953149830.877491259160845
0.06-18.42387285820670.594220832453921
0.07-18.13302818244220.505830005806937
0.08-17.90653929901440.540735708255445
0.09-17.69197662823840.641134059962839
0.1-17.4620306776320.77151581377949
0.11-17.2045322862650.910328775146843
0.12-16.91577799085391.04599915434653
0.13-16.59608248762971.17661786358954
0.14-16.24665725656531.30844895668167
0.15-15.86765609095951.45186316837415
0.16-15.45749574842851.61529106195996
0.17-15.01338445077891.80031833165764
0.18-14.53268038746831.99972642319635
0.19-14.01450104080442.19906483843567
0.2-13.46100912812352.38014585946627
0.21-12.87798306135262.52516927167871
0.22-12.27454364604172.62017258908565
0.23-11.66215412295652.6574323549501
0.24-11.0531719955952.63645408131095
0.25-10.45928825020042.56363138663288
0.26-9.890158077160632.45091749507604
0.27-9.352440167648192.31370015375157
0.28-8.849353550003032.16864261203973
0.29-8.380757920015812.03129394366503
0.3-7.943680738491991.91427881892219
0.31-7.533158316998571.82558683401673
0.32-7.14322966106171.76778057461555
0.33-6.767919444300871.73801634001809
0.34-6.402067133560561.72931466706908
0.35-6.041898222166331.73239096375109
0.36-5.685283853441821.73784813175822
0.37-5.331688234624381.73780316085052
0.38-4.981850412938731.72699638230809
0.39-4.637281339343941.70336889178908
0.4-4.299675162545611.66807884230472
0.41-3.970335462526771.62515283314425
0.42-3.649705355943331.58082699912784
0.43-3.337068839689971.54259331839311
0.44-3.030462897242141.51804697973489
0.45-2.726808625284231.51354593653592
0.46-2.422237570392651.53291563531054
0.47-2.112559761900891.57653477199917
0.48-1.793796674558741.64112288926514
0.49-1.462690087320551.72039716709966
0.5-1.117100198173011.80628106570921
0.51-0.7562246160910981.89032324569518
0.52-0.3806015786787321.9650676453763
0.530.008100080988711342.02511019129962
0.540.4074633698491832.06780605838938
0.550.8148079008191762.09348048403089
0.561.227692525438312.10519482267166
0.571.644353368504542.10811490114901
0.582.06401045383172.10860850784855
0.592.48699985194022.11320234707414
0.62.914714124347972.12755886697173
0.613.349357629194712.15553253203986
0.623.793543685849342.19840687039682
0.634.249778548086052.25440596338408
0.644.719893708199012.31857507362181
0.655.204502487073012.38312906975194
0.665.702565611142822.43837179659727
0.676.211148177702382.47396690252263
0.686.725432456258582.48049278674942
0.697.239016399366852.45091388496941
0.77.744480886576272.38183201184118
0.718.234158713755972.27410469188759
0.728.700996455189052.13295800121083
0.739.139376591987741.96732268576286
0.749.545767738952731.78872971028466
0.759.919096350571561.60982923533367
0.7610.26078026958191.44274704248188
0.7710.57442572456761.29759117739435
0.7810.86525513026391.18103990731172
0.7911.13939168589291.09556179319505
0.811.40316627882951.03943622137235
0.8111.66262310095251.00802917069291
0.8211.92337951218510.996024791835449
0.8312.19094799539480.999962606289086
0.8412.47156288751341.02031464514806
0.8512.77347575196331.06285744721684
0.8613.10857901833771.139268867873
0.8713.49406357434911.26623023857864
0.8813.95360317730261.46203960901537
0.8914.51733605195211.74003197065706
0.915.21980374554582.10008712157261
0.9116.09513458094332.52111399513881
0.9217.16913552452132.9572438411942
0.9318.44855024490593.33860304352711
0.9419.90901789930463.57560035570051
0.9521.48673458420573.56924132418607
0.9623.08504038115443.24387010971225
0.9724.60718180308612.62411166271949
0.9825.99330283687361.94602883300279
0.9927.17103320090121.65361816936432


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')