Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 26 Oct 2008 09:59:16 -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/26/t1225036784q8070o3c9pewihj.htm/, Retrieved Sun, 19 May 2024 14:11:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18961, Retrieved Sun, 19 May 2024 14:11:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact169
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [Werkloosheid mannen] [2008-10-13 15:28:04] [7d3039e6253bb5fb3b26df1537d500b4]
-   PD  [Univariate Data Series] [] [2008-10-20 14:53:04] [af90f76a5211a482a7c35f2c76d2fd61]
- RMPD    [Central Tendency] [] [2008-10-26 15:32:39] [af90f76a5211a482a7c35f2c76d2fd61]
- RMP       [Stem-and-leaf Plot] [] [2008-10-26 15:35:41] [af90f76a5211a482a7c35f2c76d2fd61]
- RMPD        [Percentiles] [] [2008-10-26 15:38:00] [af90f76a5211a482a7c35f2c76d2fd61]
- RMP           [Harrell-Davis Quantiles] [] [2008-10-26 15:40:03] [af90f76a5211a482a7c35f2c76d2fd61]
- RMPD            [Central Tendency] [] [2008-10-26 15:42:50] [af90f76a5211a482a7c35f2c76d2fd61]
- RM D              [Stem-and-leaf Plot] [] [2008-10-26 15:44:02] [af90f76a5211a482a7c35f2c76d2fd61]
- RM                  [Percentiles] [] [2008-10-26 15:45:16] [af90f76a5211a482a7c35f2c76d2fd61]
- RM                    [Harrell-Davis Quantiles] [] [2008-10-26 15:46:52] [af90f76a5211a482a7c35f2c76d2fd61]
- RM D                    [Central Tendency] [] [2008-10-26 15:49:47] [af90f76a5211a482a7c35f2c76d2fd61]
- RM D                      [Stem-and-leaf Plot] [] [2008-10-26 15:51:02] [af90f76a5211a482a7c35f2c76d2fd61]
- RM                          [Percentiles] [] [2008-10-26 15:52:22] [af90f76a5211a482a7c35f2c76d2fd61]
- RM                            [Harrell-Davis Quantiles] [] [2008-10-26 15:53:29] [af90f76a5211a482a7c35f2c76d2fd61]
- RM D                            [Central Tendency] [] [2008-10-26 15:55:24] [af90f76a5211a482a7c35f2c76d2fd61]
- RM D                              [Stem-and-leaf Plot] [] [2008-10-26 15:56:53] [af90f76a5211a482a7c35f2c76d2fd61]
- RM                                  [Percentiles] [] [2008-10-26 15:58:01] [af90f76a5211a482a7c35f2c76d2fd61]
- RM                                      [Harrell-Davis Quantiles] [] [2008-10-26 15:59:16] [e0f4dc76ea1a8276fe566258b977cec4] [Current]
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Post a new message
Dataseries X:
1.4200
1.4100
1.4200
1.4200
1.4200
1.4200
1.4200
1.4200
1.4300
1.4200
1.4000
1.4100
1.4000
1.4100
1.4000
1.3800
1.3900
1.3900
1.3700
1.3800
1.3700
1.3600
1.3700
1.3700
1.3800
1.3800
1.3800
1.3700
1.3800
1.3600
1.3500
1.3400
1.3300
1.3200
1.3200
1.3200
1.3300
1.3300
1.3200
1.3200
1.3300
1.3300
1.3400
1.3400
1.3300
1.3300
1.3200
1.3000
1.3100
1.3400
1.3500
1.3600
1.3700
1.3600
1.3600
1.3600
1.3500
1.3400
1.3300
1.3200
1.2400
1.2400
1.2400
1.2400
1.2200
1.2700
1.2900
1.2900
1.3000
1.3200
1.3200
1.3200
1.3300
1.3600
1.3600
1.3600
1.3600
1.3600
1.3100
1.3500




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18961&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18961&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18961&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.225796467920670.0144716739052037
0.021.233066351607270.009064765595154
0.031.23924874508090.00839001758784007
0.041.244813851551410.0123830225892027
0.051.250984824221360.0174602267292358
0.061.258263816394740.0213469456472551
0.071.266346977656880.0230280677688975
0.081.274569477059110.0225657781974226
0.091.282311884844290.0206895286693455
0.11.289197354308750.0182569698446949
0.111.295104227126700.0158853299652459
0.121.300082116501660.0138308009939315
0.131.304253044622770.0120822479632771
0.141.307742903460630.0105225175557598
0.151.310652615453070.00905178288364823
0.161.313057831990200.00763805658173285
0.171.315021050758950.00630998619623214
0.181.316603979111130.0051301261723593
0.191.317874260878090.00417097825130416
0.21.318905680089600.00349254391419684
0.211.319773660592390.00312769295028907
0.221.320548694793980.00306073967256628
0.231.321290040583480.00322071000893536
0.241.322041281727040.0035088700013479
0.251.322828547226360.00383453021490985
0.261.323661498017240.00412699764888656
0.271.324536657214550.00434220130966523
0.281.325442286263130.00446174640640537
0.291.326363804365710.00449370466739598
0.31.327288732067350.00446974319714637
0.311.328210316851440.00443368083432435
0.321.329129335505380.00443731812851517
0.331.330053987800820.00452089417613118
0.341.330998196185000.00470889366975873
0.351.331978910519770.00500475334986792
0.361.333013126047970.00538776431740491
0.371.334115250524540.00583053322224065
0.381.33529524716730.00630181438738756
0.391.336557709964900.00677022077470688
0.41.337901778677360.00720980948004002
0.411.339321635439830.0076032969847109
0.421.340807272009640.00793174052135656
0.431.342345268271150.00818374334610597
0.441.343919442087600.0083471406853302
0.451.345511368263170.00841178329750246
0.461.347100873773640.00836723842819512
0.471.348666666755080.00820824738695145
0.481.350187238635830.00793180807166853
0.491.351642103116950.0075460281379013
0.51.353013327371000.00706336111945268
0.511.354287200534400.00651076662792239
0.521.355455800974660.00591901352906424
0.531.356518187834610.00532810366436905
0.541.357480964040390.00478201171204279
0.551.358358035688320.00432291855751214
0.561.35916951410770.00399044612279138
0.571.359939850817060.00381076635816215
0.581.360695435189530.00379152437048293
0.591.361461991270260.00391972416315806
0.61.362262158559880.00416183708781031
0.611.36311361590680.00447595290946694
0.621.364028007712930.00482248711349004
0.631.365010776594130.00516317704271825
0.641.366061833675800.0054733604384015
0.651.367176853792810.00573872399417438
0.661.368348909704050.00595285400922665
0.671.369570176251580.00611825527294165
0.681.370833526857560.00624353314089032
0.691.372133961805920.00634156849492345
0.71.373469885104370.00642532419015408
0.711.374844232992320.00651850536478759
0.721.376265345533600.00664498727855699
0.731.377747315781710.00683485101649535
0.741.379309447152230.00711790140206219
0.751.380974500690480.0075095806419783
0.761.382765668923470.00800597077119458
0.771.384702625328310.00857811465066114
0.781.386797422925940.00917341998188766
0.791.389051256521000.00972671108415342
0.81.391453000034220.0101779409747046
0.811.393979943576070.0104773109125162
0.821.396600410270690.0105990342064867
0.831.399277199399330.0105388968434540
0.841.401970407504350.0103104044497361
0.851.404638387964820.00992968085494943
0.861.407236500050050.00940436817985022
0.871.409714655957320.00872702271217217
0.881.41201595007450.00787995156449918
0.891.414079073996240.0068536383093074
0.91.415846135604670.00566808481569053
0.911.417274957561230.00439327579632337
0.921.418352190899030.00313978610080919
0.931.419103207417410.00203347546937841
0.941.419599975172730.00117795998985451
0.951.419980440395950.000650404742774522
0.961.420502155723300.000691525621406607
0.971.421612398953650.00167252130854173
0.981.423845364361020.00385800550234768
0.991.427166120873780.00711734767443385

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.22579646792067 & 0.0144716739052037 \tabularnewline
0.02 & 1.23306635160727 & 0.009064765595154 \tabularnewline
0.03 & 1.2392487450809 & 0.00839001758784007 \tabularnewline
0.04 & 1.24481385155141 & 0.0123830225892027 \tabularnewline
0.05 & 1.25098482422136 & 0.0174602267292358 \tabularnewline
0.06 & 1.25826381639474 & 0.0213469456472551 \tabularnewline
0.07 & 1.26634697765688 & 0.0230280677688975 \tabularnewline
0.08 & 1.27456947705911 & 0.0225657781974226 \tabularnewline
0.09 & 1.28231188484429 & 0.0206895286693455 \tabularnewline
0.1 & 1.28919735430875 & 0.0182569698446949 \tabularnewline
0.11 & 1.29510422712670 & 0.0158853299652459 \tabularnewline
0.12 & 1.30008211650166 & 0.0138308009939315 \tabularnewline
0.13 & 1.30425304462277 & 0.0120822479632771 \tabularnewline
0.14 & 1.30774290346063 & 0.0105225175557598 \tabularnewline
0.15 & 1.31065261545307 & 0.00905178288364823 \tabularnewline
0.16 & 1.31305783199020 & 0.00763805658173285 \tabularnewline
0.17 & 1.31502105075895 & 0.00630998619623214 \tabularnewline
0.18 & 1.31660397911113 & 0.0051301261723593 \tabularnewline
0.19 & 1.31787426087809 & 0.00417097825130416 \tabularnewline
0.2 & 1.31890568008960 & 0.00349254391419684 \tabularnewline
0.21 & 1.31977366059239 & 0.00312769295028907 \tabularnewline
0.22 & 1.32054869479398 & 0.00306073967256628 \tabularnewline
0.23 & 1.32129004058348 & 0.00322071000893536 \tabularnewline
0.24 & 1.32204128172704 & 0.0035088700013479 \tabularnewline
0.25 & 1.32282854722636 & 0.00383453021490985 \tabularnewline
0.26 & 1.32366149801724 & 0.00412699764888656 \tabularnewline
0.27 & 1.32453665721455 & 0.00434220130966523 \tabularnewline
0.28 & 1.32544228626313 & 0.00446174640640537 \tabularnewline
0.29 & 1.32636380436571 & 0.00449370466739598 \tabularnewline
0.3 & 1.32728873206735 & 0.00446974319714637 \tabularnewline
0.31 & 1.32821031685144 & 0.00443368083432435 \tabularnewline
0.32 & 1.32912933550538 & 0.00443731812851517 \tabularnewline
0.33 & 1.33005398780082 & 0.00452089417613118 \tabularnewline
0.34 & 1.33099819618500 & 0.00470889366975873 \tabularnewline
0.35 & 1.33197891051977 & 0.00500475334986792 \tabularnewline
0.36 & 1.33301312604797 & 0.00538776431740491 \tabularnewline
0.37 & 1.33411525052454 & 0.00583053322224065 \tabularnewline
0.38 & 1.3352952471673 & 0.00630181438738756 \tabularnewline
0.39 & 1.33655770996490 & 0.00677022077470688 \tabularnewline
0.4 & 1.33790177867736 & 0.00720980948004002 \tabularnewline
0.41 & 1.33932163543983 & 0.0076032969847109 \tabularnewline
0.42 & 1.34080727200964 & 0.00793174052135656 \tabularnewline
0.43 & 1.34234526827115 & 0.00818374334610597 \tabularnewline
0.44 & 1.34391944208760 & 0.0083471406853302 \tabularnewline
0.45 & 1.34551136826317 & 0.00841178329750246 \tabularnewline
0.46 & 1.34710087377364 & 0.00836723842819512 \tabularnewline
0.47 & 1.34866666675508 & 0.00820824738695145 \tabularnewline
0.48 & 1.35018723863583 & 0.00793180807166853 \tabularnewline
0.49 & 1.35164210311695 & 0.0075460281379013 \tabularnewline
0.5 & 1.35301332737100 & 0.00706336111945268 \tabularnewline
0.51 & 1.35428720053440 & 0.00651076662792239 \tabularnewline
0.52 & 1.35545580097466 & 0.00591901352906424 \tabularnewline
0.53 & 1.35651818783461 & 0.00532810366436905 \tabularnewline
0.54 & 1.35748096404039 & 0.00478201171204279 \tabularnewline
0.55 & 1.35835803568832 & 0.00432291855751214 \tabularnewline
0.56 & 1.3591695141077 & 0.00399044612279138 \tabularnewline
0.57 & 1.35993985081706 & 0.00381076635816215 \tabularnewline
0.58 & 1.36069543518953 & 0.00379152437048293 \tabularnewline
0.59 & 1.36146199127026 & 0.00391972416315806 \tabularnewline
0.6 & 1.36226215855988 & 0.00416183708781031 \tabularnewline
0.61 & 1.3631136159068 & 0.00447595290946694 \tabularnewline
0.62 & 1.36402800771293 & 0.00482248711349004 \tabularnewline
0.63 & 1.36501077659413 & 0.00516317704271825 \tabularnewline
0.64 & 1.36606183367580 & 0.0054733604384015 \tabularnewline
0.65 & 1.36717685379281 & 0.00573872399417438 \tabularnewline
0.66 & 1.36834890970405 & 0.00595285400922665 \tabularnewline
0.67 & 1.36957017625158 & 0.00611825527294165 \tabularnewline
0.68 & 1.37083352685756 & 0.00624353314089032 \tabularnewline
0.69 & 1.37213396180592 & 0.00634156849492345 \tabularnewline
0.7 & 1.37346988510437 & 0.00642532419015408 \tabularnewline
0.71 & 1.37484423299232 & 0.00651850536478759 \tabularnewline
0.72 & 1.37626534553360 & 0.00664498727855699 \tabularnewline
0.73 & 1.37774731578171 & 0.00683485101649535 \tabularnewline
0.74 & 1.37930944715223 & 0.00711790140206219 \tabularnewline
0.75 & 1.38097450069048 & 0.0075095806419783 \tabularnewline
0.76 & 1.38276566892347 & 0.00800597077119458 \tabularnewline
0.77 & 1.38470262532831 & 0.00857811465066114 \tabularnewline
0.78 & 1.38679742292594 & 0.00917341998188766 \tabularnewline
0.79 & 1.38905125652100 & 0.00972671108415342 \tabularnewline
0.8 & 1.39145300003422 & 0.0101779409747046 \tabularnewline
0.81 & 1.39397994357607 & 0.0104773109125162 \tabularnewline
0.82 & 1.39660041027069 & 0.0105990342064867 \tabularnewline
0.83 & 1.39927719939933 & 0.0105388968434540 \tabularnewline
0.84 & 1.40197040750435 & 0.0103104044497361 \tabularnewline
0.85 & 1.40463838796482 & 0.00992968085494943 \tabularnewline
0.86 & 1.40723650005005 & 0.00940436817985022 \tabularnewline
0.87 & 1.40971465595732 & 0.00872702271217217 \tabularnewline
0.88 & 1.4120159500745 & 0.00787995156449918 \tabularnewline
0.89 & 1.41407907399624 & 0.0068536383093074 \tabularnewline
0.9 & 1.41584613560467 & 0.00566808481569053 \tabularnewline
0.91 & 1.41727495756123 & 0.00439327579632337 \tabularnewline
0.92 & 1.41835219089903 & 0.00313978610080919 \tabularnewline
0.93 & 1.41910320741741 & 0.00203347546937841 \tabularnewline
0.94 & 1.41959997517273 & 0.00117795998985451 \tabularnewline
0.95 & 1.41998044039595 & 0.000650404742774522 \tabularnewline
0.96 & 1.42050215572330 & 0.000691525621406607 \tabularnewline
0.97 & 1.42161239895365 & 0.00167252130854173 \tabularnewline
0.98 & 1.42384536436102 & 0.00385800550234768 \tabularnewline
0.99 & 1.42716612087378 & 0.00711734767443385 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18961&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]1.22579646792067[/C][C]0.0144716739052037[/C][/ROW]
[ROW][C]0.02[/C][C]1.23306635160727[/C][C]0.009064765595154[/C][/ROW]
[ROW][C]0.03[/C][C]1.2392487450809[/C][C]0.00839001758784007[/C][/ROW]
[ROW][C]0.04[/C][C]1.24481385155141[/C][C]0.0123830225892027[/C][/ROW]
[ROW][C]0.05[/C][C]1.25098482422136[/C][C]0.0174602267292358[/C][/ROW]
[ROW][C]0.06[/C][C]1.25826381639474[/C][C]0.0213469456472551[/C][/ROW]
[ROW][C]0.07[/C][C]1.26634697765688[/C][C]0.0230280677688975[/C][/ROW]
[ROW][C]0.08[/C][C]1.27456947705911[/C][C]0.0225657781974226[/C][/ROW]
[ROW][C]0.09[/C][C]1.28231188484429[/C][C]0.0206895286693455[/C][/ROW]
[ROW][C]0.1[/C][C]1.28919735430875[/C][C]0.0182569698446949[/C][/ROW]
[ROW][C]0.11[/C][C]1.29510422712670[/C][C]0.0158853299652459[/C][/ROW]
[ROW][C]0.12[/C][C]1.30008211650166[/C][C]0.0138308009939315[/C][/ROW]
[ROW][C]0.13[/C][C]1.30425304462277[/C][C]0.0120822479632771[/C][/ROW]
[ROW][C]0.14[/C][C]1.30774290346063[/C][C]0.0105225175557598[/C][/ROW]
[ROW][C]0.15[/C][C]1.31065261545307[/C][C]0.00905178288364823[/C][/ROW]
[ROW][C]0.16[/C][C]1.31305783199020[/C][C]0.00763805658173285[/C][/ROW]
[ROW][C]0.17[/C][C]1.31502105075895[/C][C]0.00630998619623214[/C][/ROW]
[ROW][C]0.18[/C][C]1.31660397911113[/C][C]0.0051301261723593[/C][/ROW]
[ROW][C]0.19[/C][C]1.31787426087809[/C][C]0.00417097825130416[/C][/ROW]
[ROW][C]0.2[/C][C]1.31890568008960[/C][C]0.00349254391419684[/C][/ROW]
[ROW][C]0.21[/C][C]1.31977366059239[/C][C]0.00312769295028907[/C][/ROW]
[ROW][C]0.22[/C][C]1.32054869479398[/C][C]0.00306073967256628[/C][/ROW]
[ROW][C]0.23[/C][C]1.32129004058348[/C][C]0.00322071000893536[/C][/ROW]
[ROW][C]0.24[/C][C]1.32204128172704[/C][C]0.0035088700013479[/C][/ROW]
[ROW][C]0.25[/C][C]1.32282854722636[/C][C]0.00383453021490985[/C][/ROW]
[ROW][C]0.26[/C][C]1.32366149801724[/C][C]0.00412699764888656[/C][/ROW]
[ROW][C]0.27[/C][C]1.32453665721455[/C][C]0.00434220130966523[/C][/ROW]
[ROW][C]0.28[/C][C]1.32544228626313[/C][C]0.00446174640640537[/C][/ROW]
[ROW][C]0.29[/C][C]1.32636380436571[/C][C]0.00449370466739598[/C][/ROW]
[ROW][C]0.3[/C][C]1.32728873206735[/C][C]0.00446974319714637[/C][/ROW]
[ROW][C]0.31[/C][C]1.32821031685144[/C][C]0.00443368083432435[/C][/ROW]
[ROW][C]0.32[/C][C]1.32912933550538[/C][C]0.00443731812851517[/C][/ROW]
[ROW][C]0.33[/C][C]1.33005398780082[/C][C]0.00452089417613118[/C][/ROW]
[ROW][C]0.34[/C][C]1.33099819618500[/C][C]0.00470889366975873[/C][/ROW]
[ROW][C]0.35[/C][C]1.33197891051977[/C][C]0.00500475334986792[/C][/ROW]
[ROW][C]0.36[/C][C]1.33301312604797[/C][C]0.00538776431740491[/C][/ROW]
[ROW][C]0.37[/C][C]1.33411525052454[/C][C]0.00583053322224065[/C][/ROW]
[ROW][C]0.38[/C][C]1.3352952471673[/C][C]0.00630181438738756[/C][/ROW]
[ROW][C]0.39[/C][C]1.33655770996490[/C][C]0.00677022077470688[/C][/ROW]
[ROW][C]0.4[/C][C]1.33790177867736[/C][C]0.00720980948004002[/C][/ROW]
[ROW][C]0.41[/C][C]1.33932163543983[/C][C]0.0076032969847109[/C][/ROW]
[ROW][C]0.42[/C][C]1.34080727200964[/C][C]0.00793174052135656[/C][/ROW]
[ROW][C]0.43[/C][C]1.34234526827115[/C][C]0.00818374334610597[/C][/ROW]
[ROW][C]0.44[/C][C]1.34391944208760[/C][C]0.0083471406853302[/C][/ROW]
[ROW][C]0.45[/C][C]1.34551136826317[/C][C]0.00841178329750246[/C][/ROW]
[ROW][C]0.46[/C][C]1.34710087377364[/C][C]0.00836723842819512[/C][/ROW]
[ROW][C]0.47[/C][C]1.34866666675508[/C][C]0.00820824738695145[/C][/ROW]
[ROW][C]0.48[/C][C]1.35018723863583[/C][C]0.00793180807166853[/C][/ROW]
[ROW][C]0.49[/C][C]1.35164210311695[/C][C]0.0075460281379013[/C][/ROW]
[ROW][C]0.5[/C][C]1.35301332737100[/C][C]0.00706336111945268[/C][/ROW]
[ROW][C]0.51[/C][C]1.35428720053440[/C][C]0.00651076662792239[/C][/ROW]
[ROW][C]0.52[/C][C]1.35545580097466[/C][C]0.00591901352906424[/C][/ROW]
[ROW][C]0.53[/C][C]1.35651818783461[/C][C]0.00532810366436905[/C][/ROW]
[ROW][C]0.54[/C][C]1.35748096404039[/C][C]0.00478201171204279[/C][/ROW]
[ROW][C]0.55[/C][C]1.35835803568832[/C][C]0.00432291855751214[/C][/ROW]
[ROW][C]0.56[/C][C]1.3591695141077[/C][C]0.00399044612279138[/C][/ROW]
[ROW][C]0.57[/C][C]1.35993985081706[/C][C]0.00381076635816215[/C][/ROW]
[ROW][C]0.58[/C][C]1.36069543518953[/C][C]0.00379152437048293[/C][/ROW]
[ROW][C]0.59[/C][C]1.36146199127026[/C][C]0.00391972416315806[/C][/ROW]
[ROW][C]0.6[/C][C]1.36226215855988[/C][C]0.00416183708781031[/C][/ROW]
[ROW][C]0.61[/C][C]1.3631136159068[/C][C]0.00447595290946694[/C][/ROW]
[ROW][C]0.62[/C][C]1.36402800771293[/C][C]0.00482248711349004[/C][/ROW]
[ROW][C]0.63[/C][C]1.36501077659413[/C][C]0.00516317704271825[/C][/ROW]
[ROW][C]0.64[/C][C]1.36606183367580[/C][C]0.0054733604384015[/C][/ROW]
[ROW][C]0.65[/C][C]1.36717685379281[/C][C]0.00573872399417438[/C][/ROW]
[ROW][C]0.66[/C][C]1.36834890970405[/C][C]0.00595285400922665[/C][/ROW]
[ROW][C]0.67[/C][C]1.36957017625158[/C][C]0.00611825527294165[/C][/ROW]
[ROW][C]0.68[/C][C]1.37083352685756[/C][C]0.00624353314089032[/C][/ROW]
[ROW][C]0.69[/C][C]1.37213396180592[/C][C]0.00634156849492345[/C][/ROW]
[ROW][C]0.7[/C][C]1.37346988510437[/C][C]0.00642532419015408[/C][/ROW]
[ROW][C]0.71[/C][C]1.37484423299232[/C][C]0.00651850536478759[/C][/ROW]
[ROW][C]0.72[/C][C]1.37626534553360[/C][C]0.00664498727855699[/C][/ROW]
[ROW][C]0.73[/C][C]1.37774731578171[/C][C]0.00683485101649535[/C][/ROW]
[ROW][C]0.74[/C][C]1.37930944715223[/C][C]0.00711790140206219[/C][/ROW]
[ROW][C]0.75[/C][C]1.38097450069048[/C][C]0.0075095806419783[/C][/ROW]
[ROW][C]0.76[/C][C]1.38276566892347[/C][C]0.00800597077119458[/C][/ROW]
[ROW][C]0.77[/C][C]1.38470262532831[/C][C]0.00857811465066114[/C][/ROW]
[ROW][C]0.78[/C][C]1.38679742292594[/C][C]0.00917341998188766[/C][/ROW]
[ROW][C]0.79[/C][C]1.38905125652100[/C][C]0.00972671108415342[/C][/ROW]
[ROW][C]0.8[/C][C]1.39145300003422[/C][C]0.0101779409747046[/C][/ROW]
[ROW][C]0.81[/C][C]1.39397994357607[/C][C]0.0104773109125162[/C][/ROW]
[ROW][C]0.82[/C][C]1.39660041027069[/C][C]0.0105990342064867[/C][/ROW]
[ROW][C]0.83[/C][C]1.39927719939933[/C][C]0.0105388968434540[/C][/ROW]
[ROW][C]0.84[/C][C]1.40197040750435[/C][C]0.0103104044497361[/C][/ROW]
[ROW][C]0.85[/C][C]1.40463838796482[/C][C]0.00992968085494943[/C][/ROW]
[ROW][C]0.86[/C][C]1.40723650005005[/C][C]0.00940436817985022[/C][/ROW]
[ROW][C]0.87[/C][C]1.40971465595732[/C][C]0.00872702271217217[/C][/ROW]
[ROW][C]0.88[/C][C]1.4120159500745[/C][C]0.00787995156449918[/C][/ROW]
[ROW][C]0.89[/C][C]1.41407907399624[/C][C]0.0068536383093074[/C][/ROW]
[ROW][C]0.9[/C][C]1.41584613560467[/C][C]0.00566808481569053[/C][/ROW]
[ROW][C]0.91[/C][C]1.41727495756123[/C][C]0.00439327579632337[/C][/ROW]
[ROW][C]0.92[/C][C]1.41835219089903[/C][C]0.00313978610080919[/C][/ROW]
[ROW][C]0.93[/C][C]1.41910320741741[/C][C]0.00203347546937841[/C][/ROW]
[ROW][C]0.94[/C][C]1.41959997517273[/C][C]0.00117795998985451[/C][/ROW]
[ROW][C]0.95[/C][C]1.41998044039595[/C][C]0.000650404742774522[/C][/ROW]
[ROW][C]0.96[/C][C]1.42050215572330[/C][C]0.000691525621406607[/C][/ROW]
[ROW][C]0.97[/C][C]1.42161239895365[/C][C]0.00167252130854173[/C][/ROW]
[ROW][C]0.98[/C][C]1.42384536436102[/C][C]0.00385800550234768[/C][/ROW]
[ROW][C]0.99[/C][C]1.42716612087378[/C][C]0.00711734767443385[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18961&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18961&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
0.011.225796467920670.0144716739052037
0.021.233066351607270.009064765595154
0.031.23924874508090.00839001758784007
0.041.244813851551410.0123830225892027
0.051.250984824221360.0174602267292358
0.061.258263816394740.0213469456472551
0.071.266346977656880.0230280677688975
0.081.274569477059110.0225657781974226
0.091.282311884844290.0206895286693455
0.11.289197354308750.0182569698446949
0.111.295104227126700.0158853299652459
0.121.300082116501660.0138308009939315
0.131.304253044622770.0120822479632771
0.141.307742903460630.0105225175557598
0.151.310652615453070.00905178288364823
0.161.313057831990200.00763805658173285
0.171.315021050758950.00630998619623214
0.181.316603979111130.0051301261723593
0.191.317874260878090.00417097825130416
0.21.318905680089600.00349254391419684
0.211.319773660592390.00312769295028907
0.221.320548694793980.00306073967256628
0.231.321290040583480.00322071000893536
0.241.322041281727040.0035088700013479
0.251.322828547226360.00383453021490985
0.261.323661498017240.00412699764888656
0.271.324536657214550.00434220130966523
0.281.325442286263130.00446174640640537
0.291.326363804365710.00449370466739598
0.31.327288732067350.00446974319714637
0.311.328210316851440.00443368083432435
0.321.329129335505380.00443731812851517
0.331.330053987800820.00452089417613118
0.341.330998196185000.00470889366975873
0.351.331978910519770.00500475334986792
0.361.333013126047970.00538776431740491
0.371.334115250524540.00583053322224065
0.381.33529524716730.00630181438738756
0.391.336557709964900.00677022077470688
0.41.337901778677360.00720980948004002
0.411.339321635439830.0076032969847109
0.421.340807272009640.00793174052135656
0.431.342345268271150.00818374334610597
0.441.343919442087600.0083471406853302
0.451.345511368263170.00841178329750246
0.461.347100873773640.00836723842819512
0.471.348666666755080.00820824738695145
0.481.350187238635830.00793180807166853
0.491.351642103116950.0075460281379013
0.51.353013327371000.00706336111945268
0.511.354287200534400.00651076662792239
0.521.355455800974660.00591901352906424
0.531.356518187834610.00532810366436905
0.541.357480964040390.00478201171204279
0.551.358358035688320.00432291855751214
0.561.35916951410770.00399044612279138
0.571.359939850817060.00381076635816215
0.581.360695435189530.00379152437048293
0.591.361461991270260.00391972416315806
0.61.362262158559880.00416183708781031
0.611.36311361590680.00447595290946694
0.621.364028007712930.00482248711349004
0.631.365010776594130.00516317704271825
0.641.366061833675800.0054733604384015
0.651.367176853792810.00573872399417438
0.661.368348909704050.00595285400922665
0.671.369570176251580.00611825527294165
0.681.370833526857560.00624353314089032
0.691.372133961805920.00634156849492345
0.71.373469885104370.00642532419015408
0.711.374844232992320.00651850536478759
0.721.376265345533600.00664498727855699
0.731.377747315781710.00683485101649535
0.741.379309447152230.00711790140206219
0.751.380974500690480.0075095806419783
0.761.382765668923470.00800597077119458
0.771.384702625328310.00857811465066114
0.781.386797422925940.00917341998188766
0.791.389051256521000.00972671108415342
0.81.391453000034220.0101779409747046
0.811.393979943576070.0104773109125162
0.821.396600410270690.0105990342064867
0.831.399277199399330.0105388968434540
0.841.401970407504350.0103104044497361
0.851.404638387964820.00992968085494943
0.861.407236500050050.00940436817985022
0.871.409714655957320.00872702271217217
0.881.41201595007450.00787995156449918
0.891.414079073996240.0068536383093074
0.91.415846135604670.00566808481569053
0.911.417274957561230.00439327579632337
0.921.418352190899030.00313978610080919
0.931.419103207417410.00203347546937841
0.941.419599975172730.00117795998985451
0.951.419980440395950.000650404742774522
0.961.420502155723300.000691525621406607
0.971.421612398953650.00167252130854173
0.981.423845364361020.00385800550234768
0.991.427166120873780.00711734767443385



Parameters (Session):
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')