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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, 14 Oct 2012 11:33:33 -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/2012/Oct/14/t1350228849erre68xach18zgo.htm/, Retrieved Sun, 28 Apr 2024 10:00:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=176251, Retrieved Sun, 28 Apr 2024 10:00:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact82

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] [] [2012-10-14 15:33:33] [0769c782addd77dfcec38b8d0e028078] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-1
-2
-5
-4
-6
-2
-2
-2
-2
2
1
-8
-1
1
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2
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1
-1
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-2
-1
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-3
-3
-7
-9
-11
-13
-11
-9
-17
-22
-25
-20
-24
-24
-22
-19
-18
-17
-11
-11
-12
-10
-15
-15
-15
-13
-8
-13
-9
-7
-4
-4
-2
0
-2
-3
1
-2
-1
1
-3
-4
-9
-9
-7
-14
-12

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=176251&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=176251&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=176251&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 time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-24.69323188773160.871374494438339
0.02-24.20495977577840.913208270000939
0.03-23.62819964031881.17836985398265
0.04-22.99126067060611.49601295579839
0.05-22.30021578498441.76091877390614
0.06-21.56882754868571.95351971050857
0.07-20.81858389141932.07903731178606
0.08-20.07093236634852.14320614923429
0.09-19.34304036194982.15378391983128
0.1-18.64692054123582.12367322268745
0.11-17.98975185156562.06809180841054
0.12-17.37456888250921.99996709917152
0.13-16.8012304968021.92777267081308
0.14-16.26753056854211.85599454578837
0.15-15.77019825021141.78688984928915
0.16-15.30561347796791.721818832299
0.17-14.87022111901541.66157311622067
0.18-14.46072593405411.60647536121501
0.19-14.07416222646411.55634679611384
0.2-13.70789933922611.51077934393085
0.21-13.35961204106911.46942802038242
0.22-13.02723073006461.43222674204543
0.23-12.70888552744531.39928595159336
0.24-12.40285994963291.37079154809019
0.25-12.10756746609311.34683680124586
0.26-11.82155730465131.3272890289036
0.27-11.54354675285461.31168637525319
0.28-11.27246851309091.29914306336874
0.29-11.00751532294931.28832956022803
0.3-10.74816161429251.27768063913847
0.31-10.49414475430191.26565018606234
0.32-10.24539677808011.25117743254767
0.33-10.00193011203871.23404704931408
0.34-9.763694303057221.21516546664233
0.35-9.530430939183581.19647863101798
0.36-9.301557220493591.1807266529317
0.37-9.076103727818031.17088806873386
0.38-8.852720409758761.16956404135988
0.39-8.62975042151731.17857298314912
0.4-8.405358591430091.19852513472949
0.41-8.177693287842571.22886330159121
0.42-7.945058481390631.26797236333836
0.43-7.706075771341551.3134359119409
0.44-7.459821568198641.36224266743863
0.45-7.205929842332481.41099497215213
0.46-6.944654189924371.45608727203486
0.47-6.676884306875331.49389711865557
0.48-6.404112533127751.52105328901837
0.49-6.128347760379841.53473963588107
0.5-5.851978117876731.53301096391614
0.51-5.577590718874131.51508651607592
0.52-5.307765168800231.48147773437277
0.53-5.044865189590531.43402707408683
0.54-4.790856964318941.37566832642397
0.55-4.547181644941231.31008225532516
0.56-4.314702276776281.24114650584203
0.57-4.093733241275721.17239128297336
0.58-3.884145685396041.10646110624872
0.59-3.685528482294931.04479845248897
0.6-3.497374067382230.987498633702902
0.61-3.319254087963520.933490524865266
0.62-3.150951907155060.880940941794887
0.63-2.992526968223230.827764982249808
0.64-2.844298185065140.772175652706523
0.65-2.706747679690410.713128681925084
0.66-2.580360083733130.650625769287509
0.67-2.465424283298470.585843182347753
0.68-2.361832383764380.521077763283913
0.69-2.268913738154810.459560887563747
0.7-2.185339458512020.405169609139568
0.71-2.109124587430240.362043621054732
0.72-2.037741065659840.333970211514008
0.73-1.968335355494140.323311111315478
0.74-1.898021630642370.329753280622399
0.75-1.824198019927420.349988591742264
0.76-1.744814850383530.378780961849022
0.77-1.658517554773350.410556529534085
0.78-1.564600899442720.440741891849153
0.79-1.462751110487460.466836222661516
0.8-1.352617419169210.489250103885089
0.81-1.233332882155850.511629697644107
0.82-1.103171856829780.540107040576249
0.83-0.9595545139458030.580902110949505
0.84-0.7995539166908350.636629197468711
0.85-0.6209118487852010.703203683459154
0.86-0.4233441586771560.769346226465005
0.87-0.2096800563929960.81905959789866
0.880.01376113754992950.836223412439578
0.890.2380793933718980.810219875699032
0.90.4541439764139760.741104839241638
0.910.6558810689535640.642515904192225
0.920.8432012948335380.541063763887755
0.931.022686746511890.470621606569276
0.941.204364373354510.453392595193708
0.951.394537565705040.470183586503057
0.961.587801252452860.465352635016891
0.971.764405422159530.389871950844784
0.981.898380927180590.243395145941225
0.991.974311545223730.087571760089706

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -24.6932318877316 & 0.871374494438339 \tabularnewline
0.02 & -24.2049597757784 & 0.913208270000939 \tabularnewline
0.03 & -23.6281996403188 & 1.17836985398265 \tabularnewline
0.04 & -22.9912606706061 & 1.49601295579839 \tabularnewline
0.05 & -22.3002157849844 & 1.76091877390614 \tabularnewline
0.06 & -21.5688275486857 & 1.95351971050857 \tabularnewline
0.07 & -20.8185838914193 & 2.07903731178606 \tabularnewline
0.08 & -20.0709323663485 & 2.14320614923429 \tabularnewline
0.09 & -19.3430403619498 & 2.15378391983128 \tabularnewline
0.1 & -18.6469205412358 & 2.12367322268745 \tabularnewline
0.11 & -17.9897518515656 & 2.06809180841054 \tabularnewline
0.12 & -17.3745688825092 & 1.99996709917152 \tabularnewline
0.13 & -16.801230496802 & 1.92777267081308 \tabularnewline
0.14 & -16.2675305685421 & 1.85599454578837 \tabularnewline
0.15 & -15.7701982502114 & 1.78688984928915 \tabularnewline
0.16 & -15.3056134779679 & 1.721818832299 \tabularnewline
0.17 & -14.8702211190154 & 1.66157311622067 \tabularnewline
0.18 & -14.4607259340541 & 1.60647536121501 \tabularnewline
0.19 & -14.0741622264641 & 1.55634679611384 \tabularnewline
0.2 & -13.7078993392261 & 1.51077934393085 \tabularnewline
0.21 & -13.3596120410691 & 1.46942802038242 \tabularnewline
0.22 & -13.0272307300646 & 1.43222674204543 \tabularnewline
0.23 & -12.7088855274453 & 1.39928595159336 \tabularnewline
0.24 & -12.4028599496329 & 1.37079154809019 \tabularnewline
0.25 & -12.1075674660931 & 1.34683680124586 \tabularnewline
0.26 & -11.8215573046513 & 1.3272890289036 \tabularnewline
0.27 & -11.5435467528546 & 1.31168637525319 \tabularnewline
0.28 & -11.2724685130909 & 1.29914306336874 \tabularnewline
0.29 & -11.0075153229493 & 1.28832956022803 \tabularnewline
0.3 & -10.7481616142925 & 1.27768063913847 \tabularnewline
0.31 & -10.4941447543019 & 1.26565018606234 \tabularnewline
0.32 & -10.2453967780801 & 1.25117743254767 \tabularnewline
0.33 & -10.0019301120387 & 1.23404704931408 \tabularnewline
0.34 & -9.76369430305722 & 1.21516546664233 \tabularnewline
0.35 & -9.53043093918358 & 1.19647863101798 \tabularnewline
0.36 & -9.30155722049359 & 1.1807266529317 \tabularnewline
0.37 & -9.07610372781803 & 1.17088806873386 \tabularnewline
0.38 & -8.85272040975876 & 1.16956404135988 \tabularnewline
0.39 & -8.6297504215173 & 1.17857298314912 \tabularnewline
0.4 & -8.40535859143009 & 1.19852513472949 \tabularnewline
0.41 & -8.17769328784257 & 1.22886330159121 \tabularnewline
0.42 & -7.94505848139063 & 1.26797236333836 \tabularnewline
0.43 & -7.70607577134155 & 1.3134359119409 \tabularnewline
0.44 & -7.45982156819864 & 1.36224266743863 \tabularnewline
0.45 & -7.20592984233248 & 1.41099497215213 \tabularnewline
0.46 & -6.94465418992437 & 1.45608727203486 \tabularnewline
0.47 & -6.67688430687533 & 1.49389711865557 \tabularnewline
0.48 & -6.40411253312775 & 1.52105328901837 \tabularnewline
0.49 & -6.12834776037984 & 1.53473963588107 \tabularnewline
0.5 & -5.85197811787673 & 1.53301096391614 \tabularnewline
0.51 & -5.57759071887413 & 1.51508651607592 \tabularnewline
0.52 & -5.30776516880023 & 1.48147773437277 \tabularnewline
0.53 & -5.04486518959053 & 1.43402707408683 \tabularnewline
0.54 & -4.79085696431894 & 1.37566832642397 \tabularnewline
0.55 & -4.54718164494123 & 1.31008225532516 \tabularnewline
0.56 & -4.31470227677628 & 1.24114650584203 \tabularnewline
0.57 & -4.09373324127572 & 1.17239128297336 \tabularnewline
0.58 & -3.88414568539604 & 1.10646110624872 \tabularnewline
0.59 & -3.68552848229493 & 1.04479845248897 \tabularnewline
0.6 & -3.49737406738223 & 0.987498633702902 \tabularnewline
0.61 & -3.31925408796352 & 0.933490524865266 \tabularnewline
0.62 & -3.15095190715506 & 0.880940941794887 \tabularnewline
0.63 & -2.99252696822323 & 0.827764982249808 \tabularnewline
0.64 & -2.84429818506514 & 0.772175652706523 \tabularnewline
0.65 & -2.70674767969041 & 0.713128681925084 \tabularnewline
0.66 & -2.58036008373313 & 0.650625769287509 \tabularnewline
0.67 & -2.46542428329847 & 0.585843182347753 \tabularnewline
0.68 & -2.36183238376438 & 0.521077763283913 \tabularnewline
0.69 & -2.26891373815481 & 0.459560887563747 \tabularnewline
0.7 & -2.18533945851202 & 0.405169609139568 \tabularnewline
0.71 & -2.10912458743024 & 0.362043621054732 \tabularnewline
0.72 & -2.03774106565984 & 0.333970211514008 \tabularnewline
0.73 & -1.96833535549414 & 0.323311111315478 \tabularnewline
0.74 & -1.89802163064237 & 0.329753280622399 \tabularnewline
0.75 & -1.82419801992742 & 0.349988591742264 \tabularnewline
0.76 & -1.74481485038353 & 0.378780961849022 \tabularnewline
0.77 & -1.65851755477335 & 0.410556529534085 \tabularnewline
0.78 & -1.56460089944272 & 0.440741891849153 \tabularnewline
0.79 & -1.46275111048746 & 0.466836222661516 \tabularnewline
0.8 & -1.35261741916921 & 0.489250103885089 \tabularnewline
0.81 & -1.23333288215585 & 0.511629697644107 \tabularnewline
0.82 & -1.10317185682978 & 0.540107040576249 \tabularnewline
0.83 & -0.959554513945803 & 0.580902110949505 \tabularnewline
0.84 & -0.799553916690835 & 0.636629197468711 \tabularnewline
0.85 & -0.620911848785201 & 0.703203683459154 \tabularnewline
0.86 & -0.423344158677156 & 0.769346226465005 \tabularnewline
0.87 & -0.209680056392996 & 0.81905959789866 \tabularnewline
0.88 & 0.0137611375499295 & 0.836223412439578 \tabularnewline
0.89 & 0.238079393371898 & 0.810219875699032 \tabularnewline
0.9 & 0.454143976413976 & 0.741104839241638 \tabularnewline
0.91 & 0.655881068953564 & 0.642515904192225 \tabularnewline
0.92 & 0.843201294833538 & 0.541063763887755 \tabularnewline
0.93 & 1.02268674651189 & 0.470621606569276 \tabularnewline
0.94 & 1.20436437335451 & 0.453392595193708 \tabularnewline
0.95 & 1.39453756570504 & 0.470183586503057 \tabularnewline
0.96 & 1.58780125245286 & 0.465352635016891 \tabularnewline
0.97 & 1.76440542215953 & 0.389871950844784 \tabularnewline
0.98 & 1.89838092718059 & 0.243395145941225 \tabularnewline
0.99 & 1.97431154522373 & 0.087571760089706 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=176251&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]-24.6932318877316[/C][C]0.871374494438339[/C][/ROW]
[ROW][C]0.02[/C][C]-24.2049597757784[/C][C]0.913208270000939[/C][/ROW]
[ROW][C]0.03[/C][C]-23.6281996403188[/C][C]1.17836985398265[/C][/ROW]
[ROW][C]0.04[/C][C]-22.9912606706061[/C][C]1.49601295579839[/C][/ROW]
[ROW][C]0.05[/C][C]-22.3002157849844[/C][C]1.76091877390614[/C][/ROW]
[ROW][C]0.06[/C][C]-21.5688275486857[/C][C]1.95351971050857[/C][/ROW]
[ROW][C]0.07[/C][C]-20.8185838914193[/C][C]2.07903731178606[/C][/ROW]
[ROW][C]0.08[/C][C]-20.0709323663485[/C][C]2.14320614923429[/C][/ROW]
[ROW][C]0.09[/C][C]-19.3430403619498[/C][C]2.15378391983128[/C][/ROW]
[ROW][C]0.1[/C][C]-18.6469205412358[/C][C]2.12367322268745[/C][/ROW]
[ROW][C]0.11[/C][C]-17.9897518515656[/C][C]2.06809180841054[/C][/ROW]
[ROW][C]0.12[/C][C]-17.3745688825092[/C][C]1.99996709917152[/C][/ROW]
[ROW][C]0.13[/C][C]-16.801230496802[/C][C]1.92777267081308[/C][/ROW]
[ROW][C]0.14[/C][C]-16.2675305685421[/C][C]1.85599454578837[/C][/ROW]
[ROW][C]0.15[/C][C]-15.7701982502114[/C][C]1.78688984928915[/C][/ROW]
[ROW][C]0.16[/C][C]-15.3056134779679[/C][C]1.721818832299[/C][/ROW]
[ROW][C]0.17[/C][C]-14.8702211190154[/C][C]1.66157311622067[/C][/ROW]
[ROW][C]0.18[/C][C]-14.4607259340541[/C][C]1.60647536121501[/C][/ROW]
[ROW][C]0.19[/C][C]-14.0741622264641[/C][C]1.55634679611384[/C][/ROW]
[ROW][C]0.2[/C][C]-13.7078993392261[/C][C]1.51077934393085[/C][/ROW]
[ROW][C]0.21[/C][C]-13.3596120410691[/C][C]1.46942802038242[/C][/ROW]
[ROW][C]0.22[/C][C]-13.0272307300646[/C][C]1.43222674204543[/C][/ROW]
[ROW][C]0.23[/C][C]-12.7088855274453[/C][C]1.39928595159336[/C][/ROW]
[ROW][C]0.24[/C][C]-12.4028599496329[/C][C]1.37079154809019[/C][/ROW]
[ROW][C]0.25[/C][C]-12.1075674660931[/C][C]1.34683680124586[/C][/ROW]
[ROW][C]0.26[/C][C]-11.8215573046513[/C][C]1.3272890289036[/C][/ROW]
[ROW][C]0.27[/C][C]-11.5435467528546[/C][C]1.31168637525319[/C][/ROW]
[ROW][C]0.28[/C][C]-11.2724685130909[/C][C]1.29914306336874[/C][/ROW]
[ROW][C]0.29[/C][C]-11.0075153229493[/C][C]1.28832956022803[/C][/ROW]
[ROW][C]0.3[/C][C]-10.7481616142925[/C][C]1.27768063913847[/C][/ROW]
[ROW][C]0.31[/C][C]-10.4941447543019[/C][C]1.26565018606234[/C][/ROW]
[ROW][C]0.32[/C][C]-10.2453967780801[/C][C]1.25117743254767[/C][/ROW]
[ROW][C]0.33[/C][C]-10.0019301120387[/C][C]1.23404704931408[/C][/ROW]
[ROW][C]0.34[/C][C]-9.76369430305722[/C][C]1.21516546664233[/C][/ROW]
[ROW][C]0.35[/C][C]-9.53043093918358[/C][C]1.19647863101798[/C][/ROW]
[ROW][C]0.36[/C][C]-9.30155722049359[/C][C]1.1807266529317[/C][/ROW]
[ROW][C]0.37[/C][C]-9.07610372781803[/C][C]1.17088806873386[/C][/ROW]
[ROW][C]0.38[/C][C]-8.85272040975876[/C][C]1.16956404135988[/C][/ROW]
[ROW][C]0.39[/C][C]-8.6297504215173[/C][C]1.17857298314912[/C][/ROW]
[ROW][C]0.4[/C][C]-8.40535859143009[/C][C]1.19852513472949[/C][/ROW]
[ROW][C]0.41[/C][C]-8.17769328784257[/C][C]1.22886330159121[/C][/ROW]
[ROW][C]0.42[/C][C]-7.94505848139063[/C][C]1.26797236333836[/C][/ROW]
[ROW][C]0.43[/C][C]-7.70607577134155[/C][C]1.3134359119409[/C][/ROW]
[ROW][C]0.44[/C][C]-7.45982156819864[/C][C]1.36224266743863[/C][/ROW]
[ROW][C]0.45[/C][C]-7.20592984233248[/C][C]1.41099497215213[/C][/ROW]
[ROW][C]0.46[/C][C]-6.94465418992437[/C][C]1.45608727203486[/C][/ROW]
[ROW][C]0.47[/C][C]-6.67688430687533[/C][C]1.49389711865557[/C][/ROW]
[ROW][C]0.48[/C][C]-6.40411253312775[/C][C]1.52105328901837[/C][/ROW]
[ROW][C]0.49[/C][C]-6.12834776037984[/C][C]1.53473963588107[/C][/ROW]
[ROW][C]0.5[/C][C]-5.85197811787673[/C][C]1.53301096391614[/C][/ROW]
[ROW][C]0.51[/C][C]-5.57759071887413[/C][C]1.51508651607592[/C][/ROW]
[ROW][C]0.52[/C][C]-5.30776516880023[/C][C]1.48147773437277[/C][/ROW]
[ROW][C]0.53[/C][C]-5.04486518959053[/C][C]1.43402707408683[/C][/ROW]
[ROW][C]0.54[/C][C]-4.79085696431894[/C][C]1.37566832642397[/C][/ROW]
[ROW][C]0.55[/C][C]-4.54718164494123[/C][C]1.31008225532516[/C][/ROW]
[ROW][C]0.56[/C][C]-4.31470227677628[/C][C]1.24114650584203[/C][/ROW]
[ROW][C]0.57[/C][C]-4.09373324127572[/C][C]1.17239128297336[/C][/ROW]
[ROW][C]0.58[/C][C]-3.88414568539604[/C][C]1.10646110624872[/C][/ROW]
[ROW][C]0.59[/C][C]-3.68552848229493[/C][C]1.04479845248897[/C][/ROW]
[ROW][C]0.6[/C][C]-3.49737406738223[/C][C]0.987498633702902[/C][/ROW]
[ROW][C]0.61[/C][C]-3.31925408796352[/C][C]0.933490524865266[/C][/ROW]
[ROW][C]0.62[/C][C]-3.15095190715506[/C][C]0.880940941794887[/C][/ROW]
[ROW][C]0.63[/C][C]-2.99252696822323[/C][C]0.827764982249808[/C][/ROW]
[ROW][C]0.64[/C][C]-2.84429818506514[/C][C]0.772175652706523[/C][/ROW]
[ROW][C]0.65[/C][C]-2.70674767969041[/C][C]0.713128681925084[/C][/ROW]
[ROW][C]0.66[/C][C]-2.58036008373313[/C][C]0.650625769287509[/C][/ROW]
[ROW][C]0.67[/C][C]-2.46542428329847[/C][C]0.585843182347753[/C][/ROW]
[ROW][C]0.68[/C][C]-2.36183238376438[/C][C]0.521077763283913[/C][/ROW]
[ROW][C]0.69[/C][C]-2.26891373815481[/C][C]0.459560887563747[/C][/ROW]
[ROW][C]0.7[/C][C]-2.18533945851202[/C][C]0.405169609139568[/C][/ROW]
[ROW][C]0.71[/C][C]-2.10912458743024[/C][C]0.362043621054732[/C][/ROW]
[ROW][C]0.72[/C][C]-2.03774106565984[/C][C]0.333970211514008[/C][/ROW]
[ROW][C]0.73[/C][C]-1.96833535549414[/C][C]0.323311111315478[/C][/ROW]
[ROW][C]0.74[/C][C]-1.89802163064237[/C][C]0.329753280622399[/C][/ROW]
[ROW][C]0.75[/C][C]-1.82419801992742[/C][C]0.349988591742264[/C][/ROW]
[ROW][C]0.76[/C][C]-1.74481485038353[/C][C]0.378780961849022[/C][/ROW]
[ROW][C]0.77[/C][C]-1.65851755477335[/C][C]0.410556529534085[/C][/ROW]
[ROW][C]0.78[/C][C]-1.56460089944272[/C][C]0.440741891849153[/C][/ROW]
[ROW][C]0.79[/C][C]-1.46275111048746[/C][C]0.466836222661516[/C][/ROW]
[ROW][C]0.8[/C][C]-1.35261741916921[/C][C]0.489250103885089[/C][/ROW]
[ROW][C]0.81[/C][C]-1.23333288215585[/C][C]0.511629697644107[/C][/ROW]
[ROW][C]0.82[/C][C]-1.10317185682978[/C][C]0.540107040576249[/C][/ROW]
[ROW][C]0.83[/C][C]-0.959554513945803[/C][C]0.580902110949505[/C][/ROW]
[ROW][C]0.84[/C][C]-0.799553916690835[/C][C]0.636629197468711[/C][/ROW]
[ROW][C]0.85[/C][C]-0.620911848785201[/C][C]0.703203683459154[/C][/ROW]
[ROW][C]0.86[/C][C]-0.423344158677156[/C][C]0.769346226465005[/C][/ROW]
[ROW][C]0.87[/C][C]-0.209680056392996[/C][C]0.81905959789866[/C][/ROW]
[ROW][C]0.88[/C][C]0.0137611375499295[/C][C]0.836223412439578[/C][/ROW]
[ROW][C]0.89[/C][C]0.238079393371898[/C][C]0.810219875699032[/C][/ROW]
[ROW][C]0.9[/C][C]0.454143976413976[/C][C]0.741104839241638[/C][/ROW]
[ROW][C]0.91[/C][C]0.655881068953564[/C][C]0.642515904192225[/C][/ROW]
[ROW][C]0.92[/C][C]0.843201294833538[/C][C]0.541063763887755[/C][/ROW]
[ROW][C]0.93[/C][C]1.02268674651189[/C][C]0.470621606569276[/C][/ROW]
[ROW][C]0.94[/C][C]1.20436437335451[/C][C]0.453392595193708[/C][/ROW]
[ROW][C]0.95[/C][C]1.39453756570504[/C][C]0.470183586503057[/C][/ROW]
[ROW][C]0.96[/C][C]1.58780125245286[/C][C]0.465352635016891[/C][/ROW]
[ROW][C]0.97[/C][C]1.76440542215953[/C][C]0.389871950844784[/C][/ROW]
[ROW][C]0.98[/C][C]1.89838092718059[/C][C]0.243395145941225[/C][/ROW]
[ROW][C]0.99[/C][C]1.97431154522373[/C][C]0.087571760089706[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=176251&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=176251&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
0.01-24.69323188773160.871374494438339
0.02-24.20495977577840.913208270000939
0.03-23.62819964031881.17836985398265
0.04-22.99126067060611.49601295579839
0.05-22.30021578498441.76091877390614
0.06-21.56882754868571.95351971050857
0.07-20.81858389141932.07903731178606
0.08-20.07093236634852.14320614923429
0.09-19.34304036194982.15378391983128
0.1-18.64692054123582.12367322268745
0.11-17.98975185156562.06809180841054
0.12-17.37456888250921.99996709917152
0.13-16.8012304968021.92777267081308
0.14-16.26753056854211.85599454578837
0.15-15.77019825021141.78688984928915
0.16-15.30561347796791.721818832299
0.17-14.87022111901541.66157311622067
0.18-14.46072593405411.60647536121501
0.19-14.07416222646411.55634679611384
0.2-13.70789933922611.51077934393085
0.21-13.35961204106911.46942802038242
0.22-13.02723073006461.43222674204543
0.23-12.70888552744531.39928595159336
0.24-12.40285994963291.37079154809019
0.25-12.10756746609311.34683680124586
0.26-11.82155730465131.3272890289036
0.27-11.54354675285461.31168637525319
0.28-11.27246851309091.29914306336874
0.29-11.00751532294931.28832956022803
0.3-10.74816161429251.27768063913847
0.31-10.49414475430191.26565018606234
0.32-10.24539677808011.25117743254767
0.33-10.00193011203871.23404704931408
0.34-9.763694303057221.21516546664233
0.35-9.530430939183581.19647863101798
0.36-9.301557220493591.1807266529317
0.37-9.076103727818031.17088806873386
0.38-8.852720409758761.16956404135988
0.39-8.62975042151731.17857298314912
0.4-8.405358591430091.19852513472949
0.41-8.177693287842571.22886330159121
0.42-7.945058481390631.26797236333836
0.43-7.706075771341551.3134359119409
0.44-7.459821568198641.36224266743863
0.45-7.205929842332481.41099497215213
0.46-6.944654189924371.45608727203486
0.47-6.676884306875331.49389711865557
0.48-6.404112533127751.52105328901837
0.49-6.128347760379841.53473963588107
0.5-5.851978117876731.53301096391614
0.51-5.577590718874131.51508651607592
0.52-5.307765168800231.48147773437277
0.53-5.044865189590531.43402707408683
0.54-4.790856964318941.37566832642397
0.55-4.547181644941231.31008225532516
0.56-4.314702276776281.24114650584203
0.57-4.093733241275721.17239128297336
0.58-3.884145685396041.10646110624872
0.59-3.685528482294931.04479845248897
0.6-3.497374067382230.987498633702902
0.61-3.319254087963520.933490524865266
0.62-3.150951907155060.880940941794887
0.63-2.992526968223230.827764982249808
0.64-2.844298185065140.772175652706523
0.65-2.706747679690410.713128681925084
0.66-2.580360083733130.650625769287509
0.67-2.465424283298470.585843182347753
0.68-2.361832383764380.521077763283913
0.69-2.268913738154810.459560887563747
0.7-2.185339458512020.405169609139568
0.71-2.109124587430240.362043621054732
0.72-2.037741065659840.333970211514008
0.73-1.968335355494140.323311111315478
0.74-1.898021630642370.329753280622399
0.75-1.824198019927420.349988591742264
0.76-1.744814850383530.378780961849022
0.77-1.658517554773350.410556529534085
0.78-1.564600899442720.440741891849153
0.79-1.462751110487460.466836222661516
0.8-1.352617419169210.489250103885089
0.81-1.233332882155850.511629697644107
0.82-1.103171856829780.540107040576249
0.83-0.9595545139458030.580902110949505
0.84-0.7995539166908350.636629197468711
0.85-0.6209118487852010.703203683459154
0.86-0.4233441586771560.769346226465005
0.87-0.2096800563929960.81905959789866
0.880.01376113754992950.836223412439578
0.890.2380793933718980.810219875699032
0.90.4541439764139760.741104839241638
0.910.6558810689535640.642515904192225
0.920.8432012948335380.541063763887755
0.931.022686746511890.470621606569276
0.941.204364373354510.453392595193708
0.951.394537565705040.470183586503057
0.961.587801252452860.465352635016891
0.971.764405422159530.389871950844784
0.981.898380927180590.243395145941225
0.991.974311545223730.087571760089706


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')