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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 20 Oct 2008 16:47:06 -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/21/t1224542898n9lhhzdrn6ksjlt.htm/, Retrieved Sun, 19 May 2024 18:04:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18279, Retrieved Sun, 19 May 2024 18:04:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact147

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Q7 95% confidence...] [2007-10-20 15:02:46] [b731da8b544846036771bbf9bf2f34ce]
F    D  [Harrell-Davis Quantiles] [Task 2 ] [2008-10-20 19:55:44] [2a30350413961f11db13c46be07a5f73]
-           [Harrell-Davis Quantiles] [] [2008-10-20 22:47:06] [de3f0516a1536f7c4a656924d8bc8d07] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
115.5
100.7
109.9
114.6
85.4
100.5
114.8
116.5
112.9
102
106
105.3
118.8
106.1
109.3
117.2
92.5
104.2
112.5
122.4
113.3
100
110.7
112.8
109.8
117.3
109.1
115.9
95.7

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18279&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18279&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18279&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0186.05829734474126.56358681669999
0.0287.00283463757166.17099727662874
0.0388.14932297870385.73503208026585
0.0489.40596920406625.30879796239105
0.0590.69207390184274.92656513328642
0.0691.94700333619164.59910142102013
0.0793.13157599664424.31856663033166
0.0894.22494756996784.06839568115753
0.0995.21974888798173.83244448863706
0.196.11731943316233.60068305538627
0.1196.92394016000743.37044555603440
0.1297.64827680849373.14533029712051
0.1398.29985750365082.93287025964645
0.1498.88826883417442.74192677697621
0.1599.42276827373932.58078710488062
0.1699.91209268627042.45519062130259
0.17100.3643352552862.36718326307195
0.18100.7868369891632.31497234400202
0.19101.1860850013522.29338905492568
0.2101.5676308166552.29526318321961
0.21101.9360455452972.31281388958586
0.22102.2949228383842.33876068328338
0.23102.6469313529762.36715668748929
0.24102.9939100177932.39352114309589
0.25103.3369936884022.41484354976229
0.26103.6767543304052.42960611767456
0.27104.0133432906512.43715316446503
0.28104.3466226987752.43777819978374
0.29104.6762776668862.43206766285037
0.3105.0019048965812.42104507162805
0.31105.3230769206092.40558949657296
0.32105.6393840821982.38637426582023
0.33105.9504582790812.36397647064615
0.34106.2559834394482.33860187352343
0.35106.5556977554342.31036578670808
0.36106.8493920671942.27918158685009
0.37107.1369077036912.2450235943286
0.38107.4181357903002.20792830253030
0.39107.6930187516202.16810566450578
0.4107.9615536504392.12598066031099
0.41108.2237962332712.08234828206540
0.42108.4798641596942.03788297474955
0.43108.7299378771271.99371770556511
0.44108.9742579135441.95077611484547
0.45109.2131179085141.91000720854464
0.46109.4468533759761.87218676924315
0.47109.6758268732031.83778249860270
0.48109.9004108318961.80693720971936
0.49110.1209697051061.77942776901245
0.5110.3378432449291.75478564281442
0.51110.5513326343981.73234514582504
0.52110.7616908718541.71121774133604
0.53110.9691182977461.69057348932328
0.54111.1737635349761.66952659655780
0.55111.3757294696871.64756212964603
0.56111.5750833149641.62423375337559
0.57111.7718693501251.59939234271936
0.58111.9661226677971.57323240545929
0.59112.1578822182481.54593392502382
0.6112.3472016145451.51808095820609
0.61112.5341565238121.49022685235454
0.62112.7188479660351.46292628775564
0.63112.9014014032421.43664971587352
0.64113.0819620522311.41174410340839
0.65113.2606873208751.38835799261836
0.66113.4377375921661.36645462294729
0.67113.6132667239501.34580755307699
0.68113.7874135849341.32604751059815
0.69113.9602957271081.30666635313274
0.7114.1320059467331.28727813962631
0.71114.3026120782791.26743865488121
0.72114.4721599804251.24683421356322
0.73114.6406793971711.22531564660223
0.74114.8081922901071.20278508395883
0.75114.9747234014751.17934554893453
0.76115.1403132548521.15511096161039
0.77115.3050345264311.13034258780385
0.78115.4690136775851.10524953761648
0.79115.6324608349511.08010233382098
0.8115.7957119966841.05513277036232
0.81115.9592885395321.03072925650429
0.82116.1239794396071.00736134325336
0.83116.2909512295330.985941387841682
0.84116.4618889386430.967833855973594
0.85116.6391672404330.955207377223446
0.86116.8260434745940.95135748638014
0.87117.0268513713730.960649097081175
0.88117.2471542259320.988539015689508
0.89117.4937876245181.04123775871573
0.9117.7746857035931.12475779029673
0.91118.0983477660381.24430641923506
0.92118.4727794197421.40374575285475
0.93118.9037620090531.60505386686104
0.94119.3924054181131.84763011909178
0.95119.9321644093502.12685490081323
0.96120.5058694612852.43238465318028
0.97121.0838027150252.74662278898925
0.98121.6242948746243.04466607150813
0.99122.0784473193373.29704415274786

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 86.0582973447412 & 6.56358681669999 \tabularnewline
0.02 & 87.0028346375716 & 6.17099727662874 \tabularnewline
0.03 & 88.1493229787038 & 5.73503208026585 \tabularnewline
0.04 & 89.4059692040662 & 5.30879796239105 \tabularnewline
0.05 & 90.6920739018427 & 4.92656513328642 \tabularnewline
0.06 & 91.9470033361916 & 4.59910142102013 \tabularnewline
0.07 & 93.1315759966442 & 4.31856663033166 \tabularnewline
0.08 & 94.2249475699678 & 4.06839568115753 \tabularnewline
0.09 & 95.2197488879817 & 3.83244448863706 \tabularnewline
0.1 & 96.1173194331623 & 3.60068305538627 \tabularnewline
0.11 & 96.9239401600074 & 3.37044555603440 \tabularnewline
0.12 & 97.6482768084937 & 3.14533029712051 \tabularnewline
0.13 & 98.2998575036508 & 2.93287025964645 \tabularnewline
0.14 & 98.8882688341744 & 2.74192677697621 \tabularnewline
0.15 & 99.4227682737393 & 2.58078710488062 \tabularnewline
0.16 & 99.9120926862704 & 2.45519062130259 \tabularnewline
0.17 & 100.364335255286 & 2.36718326307195 \tabularnewline
0.18 & 100.786836989163 & 2.31497234400202 \tabularnewline
0.19 & 101.186085001352 & 2.29338905492568 \tabularnewline
0.2 & 101.567630816655 & 2.29526318321961 \tabularnewline
0.21 & 101.936045545297 & 2.31281388958586 \tabularnewline
0.22 & 102.294922838384 & 2.33876068328338 \tabularnewline
0.23 & 102.646931352976 & 2.36715668748929 \tabularnewline
0.24 & 102.993910017793 & 2.39352114309589 \tabularnewline
0.25 & 103.336993688402 & 2.41484354976229 \tabularnewline
0.26 & 103.676754330405 & 2.42960611767456 \tabularnewline
0.27 & 104.013343290651 & 2.43715316446503 \tabularnewline
0.28 & 104.346622698775 & 2.43777819978374 \tabularnewline
0.29 & 104.676277666886 & 2.43206766285037 \tabularnewline
0.3 & 105.001904896581 & 2.42104507162805 \tabularnewline
0.31 & 105.323076920609 & 2.40558949657296 \tabularnewline
0.32 & 105.639384082198 & 2.38637426582023 \tabularnewline
0.33 & 105.950458279081 & 2.36397647064615 \tabularnewline
0.34 & 106.255983439448 & 2.33860187352343 \tabularnewline
0.35 & 106.555697755434 & 2.31036578670808 \tabularnewline
0.36 & 106.849392067194 & 2.27918158685009 \tabularnewline
0.37 & 107.136907703691 & 2.2450235943286 \tabularnewline
0.38 & 107.418135790300 & 2.20792830253030 \tabularnewline
0.39 & 107.693018751620 & 2.16810566450578 \tabularnewline
0.4 & 107.961553650439 & 2.12598066031099 \tabularnewline
0.41 & 108.223796233271 & 2.08234828206540 \tabularnewline
0.42 & 108.479864159694 & 2.03788297474955 \tabularnewline
0.43 & 108.729937877127 & 1.99371770556511 \tabularnewline
0.44 & 108.974257913544 & 1.95077611484547 \tabularnewline
0.45 & 109.213117908514 & 1.91000720854464 \tabularnewline
0.46 & 109.446853375976 & 1.87218676924315 \tabularnewline
0.47 & 109.675826873203 & 1.83778249860270 \tabularnewline
0.48 & 109.900410831896 & 1.80693720971936 \tabularnewline
0.49 & 110.120969705106 & 1.77942776901245 \tabularnewline
0.5 & 110.337843244929 & 1.75478564281442 \tabularnewline
0.51 & 110.551332634398 & 1.73234514582504 \tabularnewline
0.52 & 110.761690871854 & 1.71121774133604 \tabularnewline
0.53 & 110.969118297746 & 1.69057348932328 \tabularnewline
0.54 & 111.173763534976 & 1.66952659655780 \tabularnewline
0.55 & 111.375729469687 & 1.64756212964603 \tabularnewline
0.56 & 111.575083314964 & 1.62423375337559 \tabularnewline
0.57 & 111.771869350125 & 1.59939234271936 \tabularnewline
0.58 & 111.966122667797 & 1.57323240545929 \tabularnewline
0.59 & 112.157882218248 & 1.54593392502382 \tabularnewline
0.6 & 112.347201614545 & 1.51808095820609 \tabularnewline
0.61 & 112.534156523812 & 1.49022685235454 \tabularnewline
0.62 & 112.718847966035 & 1.46292628775564 \tabularnewline
0.63 & 112.901401403242 & 1.43664971587352 \tabularnewline
0.64 & 113.081962052231 & 1.41174410340839 \tabularnewline
0.65 & 113.260687320875 & 1.38835799261836 \tabularnewline
0.66 & 113.437737592166 & 1.36645462294729 \tabularnewline
0.67 & 113.613266723950 & 1.34580755307699 \tabularnewline
0.68 & 113.787413584934 & 1.32604751059815 \tabularnewline
0.69 & 113.960295727108 & 1.30666635313274 \tabularnewline
0.7 & 114.132005946733 & 1.28727813962631 \tabularnewline
0.71 & 114.302612078279 & 1.26743865488121 \tabularnewline
0.72 & 114.472159980425 & 1.24683421356322 \tabularnewline
0.73 & 114.640679397171 & 1.22531564660223 \tabularnewline
0.74 & 114.808192290107 & 1.20278508395883 \tabularnewline
0.75 & 114.974723401475 & 1.17934554893453 \tabularnewline
0.76 & 115.140313254852 & 1.15511096161039 \tabularnewline
0.77 & 115.305034526431 & 1.13034258780385 \tabularnewline
0.78 & 115.469013677585 & 1.10524953761648 \tabularnewline
0.79 & 115.632460834951 & 1.08010233382098 \tabularnewline
0.8 & 115.795711996684 & 1.05513277036232 \tabularnewline
0.81 & 115.959288539532 & 1.03072925650429 \tabularnewline
0.82 & 116.123979439607 & 1.00736134325336 \tabularnewline
0.83 & 116.290951229533 & 0.985941387841682 \tabularnewline
0.84 & 116.461888938643 & 0.967833855973594 \tabularnewline
0.85 & 116.639167240433 & 0.955207377223446 \tabularnewline
0.86 & 116.826043474594 & 0.95135748638014 \tabularnewline
0.87 & 117.026851371373 & 0.960649097081175 \tabularnewline
0.88 & 117.247154225932 & 0.988539015689508 \tabularnewline
0.89 & 117.493787624518 & 1.04123775871573 \tabularnewline
0.9 & 117.774685703593 & 1.12475779029673 \tabularnewline
0.91 & 118.098347766038 & 1.24430641923506 \tabularnewline
0.92 & 118.472779419742 & 1.40374575285475 \tabularnewline
0.93 & 118.903762009053 & 1.60505386686104 \tabularnewline
0.94 & 119.392405418113 & 1.84763011909178 \tabularnewline
0.95 & 119.932164409350 & 2.12685490081323 \tabularnewline
0.96 & 120.505869461285 & 2.43238465318028 \tabularnewline
0.97 & 121.083802715025 & 2.74662278898925 \tabularnewline
0.98 & 121.624294874624 & 3.04466607150813 \tabularnewline
0.99 & 122.078447319337 & 3.29704415274786 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18279&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]86.0582973447412[/C][C]6.56358681669999[/C][/ROW]
[ROW][C]0.02[/C][C]87.0028346375716[/C][C]6.17099727662874[/C][/ROW]
[ROW][C]0.03[/C][C]88.1493229787038[/C][C]5.73503208026585[/C][/ROW]
[ROW][C]0.04[/C][C]89.4059692040662[/C][C]5.30879796239105[/C][/ROW]
[ROW][C]0.05[/C][C]90.6920739018427[/C][C]4.92656513328642[/C][/ROW]
[ROW][C]0.06[/C][C]91.9470033361916[/C][C]4.59910142102013[/C][/ROW]
[ROW][C]0.07[/C][C]93.1315759966442[/C][C]4.31856663033166[/C][/ROW]
[ROW][C]0.08[/C][C]94.2249475699678[/C][C]4.06839568115753[/C][/ROW]
[ROW][C]0.09[/C][C]95.2197488879817[/C][C]3.83244448863706[/C][/ROW]
[ROW][C]0.1[/C][C]96.1173194331623[/C][C]3.60068305538627[/C][/ROW]
[ROW][C]0.11[/C][C]96.9239401600074[/C][C]3.37044555603440[/C][/ROW]
[ROW][C]0.12[/C][C]97.6482768084937[/C][C]3.14533029712051[/C][/ROW]
[ROW][C]0.13[/C][C]98.2998575036508[/C][C]2.93287025964645[/C][/ROW]
[ROW][C]0.14[/C][C]98.8882688341744[/C][C]2.74192677697621[/C][/ROW]
[ROW][C]0.15[/C][C]99.4227682737393[/C][C]2.58078710488062[/C][/ROW]
[ROW][C]0.16[/C][C]99.9120926862704[/C][C]2.45519062130259[/C][/ROW]
[ROW][C]0.17[/C][C]100.364335255286[/C][C]2.36718326307195[/C][/ROW]
[ROW][C]0.18[/C][C]100.786836989163[/C][C]2.31497234400202[/C][/ROW]
[ROW][C]0.19[/C][C]101.186085001352[/C][C]2.29338905492568[/C][/ROW]
[ROW][C]0.2[/C][C]101.567630816655[/C][C]2.29526318321961[/C][/ROW]
[ROW][C]0.21[/C][C]101.936045545297[/C][C]2.31281388958586[/C][/ROW]
[ROW][C]0.22[/C][C]102.294922838384[/C][C]2.33876068328338[/C][/ROW]
[ROW][C]0.23[/C][C]102.646931352976[/C][C]2.36715668748929[/C][/ROW]
[ROW][C]0.24[/C][C]102.993910017793[/C][C]2.39352114309589[/C][/ROW]
[ROW][C]0.25[/C][C]103.336993688402[/C][C]2.41484354976229[/C][/ROW]
[ROW][C]0.26[/C][C]103.676754330405[/C][C]2.42960611767456[/C][/ROW]
[ROW][C]0.27[/C][C]104.013343290651[/C][C]2.43715316446503[/C][/ROW]
[ROW][C]0.28[/C][C]104.346622698775[/C][C]2.43777819978374[/C][/ROW]
[ROW][C]0.29[/C][C]104.676277666886[/C][C]2.43206766285037[/C][/ROW]
[ROW][C]0.3[/C][C]105.001904896581[/C][C]2.42104507162805[/C][/ROW]
[ROW][C]0.31[/C][C]105.323076920609[/C][C]2.40558949657296[/C][/ROW]
[ROW][C]0.32[/C][C]105.639384082198[/C][C]2.38637426582023[/C][/ROW]
[ROW][C]0.33[/C][C]105.950458279081[/C][C]2.36397647064615[/C][/ROW]
[ROW][C]0.34[/C][C]106.255983439448[/C][C]2.33860187352343[/C][/ROW]
[ROW][C]0.35[/C][C]106.555697755434[/C][C]2.31036578670808[/C][/ROW]
[ROW][C]0.36[/C][C]106.849392067194[/C][C]2.27918158685009[/C][/ROW]
[ROW][C]0.37[/C][C]107.136907703691[/C][C]2.2450235943286[/C][/ROW]
[ROW][C]0.38[/C][C]107.418135790300[/C][C]2.20792830253030[/C][/ROW]
[ROW][C]0.39[/C][C]107.693018751620[/C][C]2.16810566450578[/C][/ROW]
[ROW][C]0.4[/C][C]107.961553650439[/C][C]2.12598066031099[/C][/ROW]
[ROW][C]0.41[/C][C]108.223796233271[/C][C]2.08234828206540[/C][/ROW]
[ROW][C]0.42[/C][C]108.479864159694[/C][C]2.03788297474955[/C][/ROW]
[ROW][C]0.43[/C][C]108.729937877127[/C][C]1.99371770556511[/C][/ROW]
[ROW][C]0.44[/C][C]108.974257913544[/C][C]1.95077611484547[/C][/ROW]
[ROW][C]0.45[/C][C]109.213117908514[/C][C]1.91000720854464[/C][/ROW]
[ROW][C]0.46[/C][C]109.446853375976[/C][C]1.87218676924315[/C][/ROW]
[ROW][C]0.47[/C][C]109.675826873203[/C][C]1.83778249860270[/C][/ROW]
[ROW][C]0.48[/C][C]109.900410831896[/C][C]1.80693720971936[/C][/ROW]
[ROW][C]0.49[/C][C]110.120969705106[/C][C]1.77942776901245[/C][/ROW]
[ROW][C]0.5[/C][C]110.337843244929[/C][C]1.75478564281442[/C][/ROW]
[ROW][C]0.51[/C][C]110.551332634398[/C][C]1.73234514582504[/C][/ROW]
[ROW][C]0.52[/C][C]110.761690871854[/C][C]1.71121774133604[/C][/ROW]
[ROW][C]0.53[/C][C]110.969118297746[/C][C]1.69057348932328[/C][/ROW]
[ROW][C]0.54[/C][C]111.173763534976[/C][C]1.66952659655780[/C][/ROW]
[ROW][C]0.55[/C][C]111.375729469687[/C][C]1.64756212964603[/C][/ROW]
[ROW][C]0.56[/C][C]111.575083314964[/C][C]1.62423375337559[/C][/ROW]
[ROW][C]0.57[/C][C]111.771869350125[/C][C]1.59939234271936[/C][/ROW]
[ROW][C]0.58[/C][C]111.966122667797[/C][C]1.57323240545929[/C][/ROW]
[ROW][C]0.59[/C][C]112.157882218248[/C][C]1.54593392502382[/C][/ROW]
[ROW][C]0.6[/C][C]112.347201614545[/C][C]1.51808095820609[/C][/ROW]
[ROW][C]0.61[/C][C]112.534156523812[/C][C]1.49022685235454[/C][/ROW]
[ROW][C]0.62[/C][C]112.718847966035[/C][C]1.46292628775564[/C][/ROW]
[ROW][C]0.63[/C][C]112.901401403242[/C][C]1.43664971587352[/C][/ROW]
[ROW][C]0.64[/C][C]113.081962052231[/C][C]1.41174410340839[/C][/ROW]
[ROW][C]0.65[/C][C]113.260687320875[/C][C]1.38835799261836[/C][/ROW]
[ROW][C]0.66[/C][C]113.437737592166[/C][C]1.36645462294729[/C][/ROW]
[ROW][C]0.67[/C][C]113.613266723950[/C][C]1.34580755307699[/C][/ROW]
[ROW][C]0.68[/C][C]113.787413584934[/C][C]1.32604751059815[/C][/ROW]
[ROW][C]0.69[/C][C]113.960295727108[/C][C]1.30666635313274[/C][/ROW]
[ROW][C]0.7[/C][C]114.132005946733[/C][C]1.28727813962631[/C][/ROW]
[ROW][C]0.71[/C][C]114.302612078279[/C][C]1.26743865488121[/C][/ROW]
[ROW][C]0.72[/C][C]114.472159980425[/C][C]1.24683421356322[/C][/ROW]
[ROW][C]0.73[/C][C]114.640679397171[/C][C]1.22531564660223[/C][/ROW]
[ROW][C]0.74[/C][C]114.808192290107[/C][C]1.20278508395883[/C][/ROW]
[ROW][C]0.75[/C][C]114.974723401475[/C][C]1.17934554893453[/C][/ROW]
[ROW][C]0.76[/C][C]115.140313254852[/C][C]1.15511096161039[/C][/ROW]
[ROW][C]0.77[/C][C]115.305034526431[/C][C]1.13034258780385[/C][/ROW]
[ROW][C]0.78[/C][C]115.469013677585[/C][C]1.10524953761648[/C][/ROW]
[ROW][C]0.79[/C][C]115.632460834951[/C][C]1.08010233382098[/C][/ROW]
[ROW][C]0.8[/C][C]115.795711996684[/C][C]1.05513277036232[/C][/ROW]
[ROW][C]0.81[/C][C]115.959288539532[/C][C]1.03072925650429[/C][/ROW]
[ROW][C]0.82[/C][C]116.123979439607[/C][C]1.00736134325336[/C][/ROW]
[ROW][C]0.83[/C][C]116.290951229533[/C][C]0.985941387841682[/C][/ROW]
[ROW][C]0.84[/C][C]116.461888938643[/C][C]0.967833855973594[/C][/ROW]
[ROW][C]0.85[/C][C]116.639167240433[/C][C]0.955207377223446[/C][/ROW]
[ROW][C]0.86[/C][C]116.826043474594[/C][C]0.95135748638014[/C][/ROW]
[ROW][C]0.87[/C][C]117.026851371373[/C][C]0.960649097081175[/C][/ROW]
[ROW][C]0.88[/C][C]117.247154225932[/C][C]0.988539015689508[/C][/ROW]
[ROW][C]0.89[/C][C]117.493787624518[/C][C]1.04123775871573[/C][/ROW]
[ROW][C]0.9[/C][C]117.774685703593[/C][C]1.12475779029673[/C][/ROW]
[ROW][C]0.91[/C][C]118.098347766038[/C][C]1.24430641923506[/C][/ROW]
[ROW][C]0.92[/C][C]118.472779419742[/C][C]1.40374575285475[/C][/ROW]
[ROW][C]0.93[/C][C]118.903762009053[/C][C]1.60505386686104[/C][/ROW]
[ROW][C]0.94[/C][C]119.392405418113[/C][C]1.84763011909178[/C][/ROW]
[ROW][C]0.95[/C][C]119.932164409350[/C][C]2.12685490081323[/C][/ROW]
[ROW][C]0.96[/C][C]120.505869461285[/C][C]2.43238465318028[/C][/ROW]
[ROW][C]0.97[/C][C]121.083802715025[/C][C]2.74662278898925[/C][/ROW]
[ROW][C]0.98[/C][C]121.624294874624[/C][C]3.04466607150813[/C][/ROW]
[ROW][C]0.99[/C][C]122.078447319337[/C][C]3.29704415274786[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18279&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18279&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
0.0186.05829734474126.56358681669999
0.0287.00283463757166.17099727662874
0.0388.14932297870385.73503208026585
0.0489.40596920406625.30879796239105
0.0590.69207390184274.92656513328642
0.0691.94700333619164.59910142102013
0.0793.13157599664424.31856663033166
0.0894.22494756996784.06839568115753
0.0995.21974888798173.83244448863706
0.196.11731943316233.60068305538627
0.1196.92394016000743.37044555603440
0.1297.64827680849373.14533029712051
0.1398.29985750365082.93287025964645
0.1498.88826883417442.74192677697621
0.1599.42276827373932.58078710488062
0.1699.91209268627042.45519062130259
0.17100.3643352552862.36718326307195
0.18100.7868369891632.31497234400202
0.19101.1860850013522.29338905492568
0.2101.5676308166552.29526318321961
0.21101.9360455452972.31281388958586
0.22102.2949228383842.33876068328338
0.23102.6469313529762.36715668748929
0.24102.9939100177932.39352114309589
0.25103.3369936884022.41484354976229
0.26103.6767543304052.42960611767456
0.27104.0133432906512.43715316446503
0.28104.3466226987752.43777819978374
0.29104.6762776668862.43206766285037
0.3105.0019048965812.42104507162805
0.31105.3230769206092.40558949657296
0.32105.6393840821982.38637426582023
0.33105.9504582790812.36397647064615
0.34106.2559834394482.33860187352343
0.35106.5556977554342.31036578670808
0.36106.8493920671942.27918158685009
0.37107.1369077036912.2450235943286
0.38107.4181357903002.20792830253030
0.39107.6930187516202.16810566450578
0.4107.9615536504392.12598066031099
0.41108.2237962332712.08234828206540
0.42108.4798641596942.03788297474955
0.43108.7299378771271.99371770556511
0.44108.9742579135441.95077611484547
0.45109.2131179085141.91000720854464
0.46109.4468533759761.87218676924315
0.47109.6758268732031.83778249860270
0.48109.9004108318961.80693720971936
0.49110.1209697051061.77942776901245
0.5110.3378432449291.75478564281442
0.51110.5513326343981.73234514582504
0.52110.7616908718541.71121774133604
0.53110.9691182977461.69057348932328
0.54111.1737635349761.66952659655780
0.55111.3757294696871.64756212964603
0.56111.5750833149641.62423375337559
0.57111.7718693501251.59939234271936
0.58111.9661226677971.57323240545929
0.59112.1578822182481.54593392502382
0.6112.3472016145451.51808095820609
0.61112.5341565238121.49022685235454
0.62112.7188479660351.46292628775564
0.63112.9014014032421.43664971587352
0.64113.0819620522311.41174410340839
0.65113.2606873208751.38835799261836
0.66113.4377375921661.36645462294729
0.67113.6132667239501.34580755307699
0.68113.7874135849341.32604751059815
0.69113.9602957271081.30666635313274
0.7114.1320059467331.28727813962631
0.71114.3026120782791.26743865488121
0.72114.4721599804251.24683421356322
0.73114.6406793971711.22531564660223
0.74114.8081922901071.20278508395883
0.75114.9747234014751.17934554893453
0.76115.1403132548521.15511096161039
0.77115.3050345264311.13034258780385
0.78115.4690136775851.10524953761648
0.79115.6324608349511.08010233382098
0.8115.7957119966841.05513277036232
0.81115.9592885395321.03072925650429
0.82116.1239794396071.00736134325336
0.83116.2909512295330.985941387841682
0.84116.4618889386430.967833855973594
0.85116.6391672404330.955207377223446
0.86116.8260434745940.95135748638014
0.87117.0268513713730.960649097081175
0.88117.2471542259320.988539015689508
0.89117.4937876245181.04123775871573
0.9117.7746857035931.12475779029673
0.91118.0983477660381.24430641923506
0.92118.4727794197421.40374575285475
0.93118.9037620090531.60505386686104
0.94119.3924054181131.84763011909178
0.95119.9321644093502.12685490081323
0.96120.5058694612852.43238465318028
0.97121.0838027150252.74662278898925
0.98121.6242948746243.04466607150813
0.99122.0784473193373.29704415274786


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
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')