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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 computationMon, 30 Sep 2013 14:04:14 -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/Sep/30/t1380564835355u07fwqk111kx.htm/, Retrieved Thu, 02 May 2024 06:05:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212499, Retrieved Thu, 02 May 2024 06:05:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact91

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] [] [2013-09-30 17:32:08] [4137616dc99e71bd0abe7ac75f4ed0c6]
-   PD  [Harrell-Davis Quantiles] [] [2013-09-30 18:00:13] [4137616dc99e71bd0abe7ac75f4ed0c6]
- R PD      [Harrell-Davis Quantiles] [] [2013-09-30 18:04:14] [548ba37af61861f215c3470847960b18] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
462.23
464.79
465.22
468.52
469.02
469.15
469.15
469.15
469.15
469.41
469.45
469.45
469.93
477.19
478.97
480.44
480.56
481.8
483.24
483.45
483.53
483.59
483.59
483.59
492.36
495.71
499.29
499.78
500
500
500.29
500.42
500.61
498.9
499.06
496.61
498.41
501.26
505.4
506.07
506.2
507.14
507.14
507.28
507.34
507.48
506.97
506.97
510.1
515.84
519
520.1
521.26
521.04
521.12
521.12
521.1
521.16
521.14
521.13
522.17
531.39
532.12
533.34
535.72
536.25
536.25
536.68
536.76
536.79
536.99
536.99
542.38
544.1
546.96
547.04
550.27
550.32
551.17
552.83
552.35
552.44
552.47
548.78

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212499&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212499&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212499&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01463.1631385903412.11627575684515
0.02464.5015405916491.90960164336454
0.03465.7900267191811.92986212746067
0.04466.8781264737481.78361900098462
0.05467.7325009612951.4188610458297
0.06468.3565571519891.00936018826609
0.07468.7935338339730.730874646970708
0.08469.1194758328040.704649784996888
0.09469.4215855303410.956752162382751
0.1469.7802920394641.42924567623855
0.11470.2597424659242.06471847939297
0.12470.90281548022.79643126486444
0.13471.7277523915183.53690734261329
0.14472.7268170797074.19100093713924
0.15473.8687037802094.67659938957448
0.16475.1054273380724.94792493913229
0.17476.3825537093055.00275007691459
0.18477.6502405038594.88273352085502
0.19478.872321556644.66134962683205
0.2480.0314811685264.42743705422806
0.21481.1298657449494.26583858481469
0.22482.1856796647654.24090225505601
0.23483.2270627306654.380796366315
0.24484.2848042866984.67052966456921
0.25485.3853524160095.06261719743926
0.26486.545289582515.48717930292543
0.27487.7680686235365.87239110603858
0.28489.0433722504776.15270519665268
0.29490.3489995366676.27905675221296
0.3491.6547472695126.22862658592015
0.31492.9274251487956.002836795351
0.32494.1360000956965.62775671387484
0.33495.2559402639955.14578591138882
0.34496.2720931315234.611409157404
0.35497.1798004151054.07813011276753
0.36497.9843219647923.59515112630705
0.37498.6989255068933.19995810817614
0.38499.3421553057792.91558789919739
0.39499.9348220145682.74926275628076
0.4500.4971910913792.6894153238337
0.41501.0467312926242.71106008085047
0.42501.5966533995342.78371895859499
0.43502.1553420860342.8776862104616
0.44502.72666622022.96884618176492
0.45503.311044222153.04207632826289
0.46503.907042874063.09222195632483
0.47504.513208511493.12784375509946
0.48505.129783285353.16325121373977
0.49505.7599618655433.22367827610512
0.5506.4104059036493.33281252574945
0.51507.0908542288953.51075939653899
0.52507.812832003163.76413660965569
0.53508.5876451432584.08411062619677
0.54509.4240121011554.44624299982205
0.55510.3257969343324.81437194240544
0.56511.2903355887795.14669238624489
0.57512.3077762504745.4012096266691
0.58513.3616896477175.5467610309548
0.59514.4309730823325.56108667973578
0.6515.492816789865.44293676579322
0.61516.5262748179495.20950210692677
0.62517.5158324031164.89638294427379
0.63518.4543197576484.55488234292178
0.64519.3445982577174.24399407241462
0.65520.1996271653514.02342958468651
0.66521.0407780189613.94276263515834
0.67521.8945602820984.02663668416529
0.68522.7882117316194.26418464702721
0.69523.74484491164.61449836630159
0.7524.7789823212275.01232961485841
0.71525.8933196409165.38922147022562
0.72527.0774062229465.67603344376396
0.73528.308631939285.81940058443818
0.74529.5555030407165.78647355377402
0.75530.7827544324475.5731194883377
0.76531.9574744034445.20120383437863
0.77533.0551896889234.7215613015861
0.78534.0648144805244.20226492343233
0.79534.9915014374363.72176310308899
0.8535.8567116364643.35965503532125
0.81536.6952108285763.17950632191961
0.82537.5491889782573.21042557090658
0.83538.46028050523.42695633734825
0.84539.4608758896243.75677752190098
0.85540.5665994974254.10514487943167
0.86541.7719273629614.37799697673607
0.87543.0503990023724.50007334142888
0.88544.3597184154094.43075384075641
0.89545.6505580736294.16974277326246
0.9546.8766352057293.75626233636284
0.91548.0031074120543.25248574661889
0.92549.0106740644772.72659290186758
0.93549.8938916197172.23207083818978
0.94550.6542703868971.79295657191529
0.95551.2920343020671.39762005564966
0.96551.8038749845521.01779039296496
0.97552.192608094360.655332832126365
0.98552.4806551375280.37939359002644
0.99552.6974695380850.301930013989156

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 463.163138590341 & 2.11627575684515 \tabularnewline
0.02 & 464.501540591649 & 1.90960164336454 \tabularnewline
0.03 & 465.790026719181 & 1.92986212746067 \tabularnewline
0.04 & 466.878126473748 & 1.78361900098462 \tabularnewline
0.05 & 467.732500961295 & 1.4188610458297 \tabularnewline
0.06 & 468.356557151989 & 1.00936018826609 \tabularnewline
0.07 & 468.793533833973 & 0.730874646970708 \tabularnewline
0.08 & 469.119475832804 & 0.704649784996888 \tabularnewline
0.09 & 469.421585530341 & 0.956752162382751 \tabularnewline
0.1 & 469.780292039464 & 1.42924567623855 \tabularnewline
0.11 & 470.259742465924 & 2.06471847939297 \tabularnewline
0.12 & 470.9028154802 & 2.79643126486444 \tabularnewline
0.13 & 471.727752391518 & 3.53690734261329 \tabularnewline
0.14 & 472.726817079707 & 4.19100093713924 \tabularnewline
0.15 & 473.868703780209 & 4.67659938957448 \tabularnewline
0.16 & 475.105427338072 & 4.94792493913229 \tabularnewline
0.17 & 476.382553709305 & 5.00275007691459 \tabularnewline
0.18 & 477.650240503859 & 4.88273352085502 \tabularnewline
0.19 & 478.87232155664 & 4.66134962683205 \tabularnewline
0.2 & 480.031481168526 & 4.42743705422806 \tabularnewline
0.21 & 481.129865744949 & 4.26583858481469 \tabularnewline
0.22 & 482.185679664765 & 4.24090225505601 \tabularnewline
0.23 & 483.227062730665 & 4.380796366315 \tabularnewline
0.24 & 484.284804286698 & 4.67052966456921 \tabularnewline
0.25 & 485.385352416009 & 5.06261719743926 \tabularnewline
0.26 & 486.54528958251 & 5.48717930292543 \tabularnewline
0.27 & 487.768068623536 & 5.87239110603858 \tabularnewline
0.28 & 489.043372250477 & 6.15270519665268 \tabularnewline
0.29 & 490.348999536667 & 6.27905675221296 \tabularnewline
0.3 & 491.654747269512 & 6.22862658592015 \tabularnewline
0.31 & 492.927425148795 & 6.002836795351 \tabularnewline
0.32 & 494.136000095696 & 5.62775671387484 \tabularnewline
0.33 & 495.255940263995 & 5.14578591138882 \tabularnewline
0.34 & 496.272093131523 & 4.611409157404 \tabularnewline
0.35 & 497.179800415105 & 4.07813011276753 \tabularnewline
0.36 & 497.984321964792 & 3.59515112630705 \tabularnewline
0.37 & 498.698925506893 & 3.19995810817614 \tabularnewline
0.38 & 499.342155305779 & 2.91558789919739 \tabularnewline
0.39 & 499.934822014568 & 2.74926275628076 \tabularnewline
0.4 & 500.497191091379 & 2.6894153238337 \tabularnewline
0.41 & 501.046731292624 & 2.71106008085047 \tabularnewline
0.42 & 501.596653399534 & 2.78371895859499 \tabularnewline
0.43 & 502.155342086034 & 2.8776862104616 \tabularnewline
0.44 & 502.7266662202 & 2.96884618176492 \tabularnewline
0.45 & 503.31104422215 & 3.04207632826289 \tabularnewline
0.46 & 503.90704287406 & 3.09222195632483 \tabularnewline
0.47 & 504.51320851149 & 3.12784375509946 \tabularnewline
0.48 & 505.12978328535 & 3.16325121373977 \tabularnewline
0.49 & 505.759961865543 & 3.22367827610512 \tabularnewline
0.5 & 506.410405903649 & 3.33281252574945 \tabularnewline
0.51 & 507.090854228895 & 3.51075939653899 \tabularnewline
0.52 & 507.81283200316 & 3.76413660965569 \tabularnewline
0.53 & 508.587645143258 & 4.08411062619677 \tabularnewline
0.54 & 509.424012101155 & 4.44624299982205 \tabularnewline
0.55 & 510.325796934332 & 4.81437194240544 \tabularnewline
0.56 & 511.290335588779 & 5.14669238624489 \tabularnewline
0.57 & 512.307776250474 & 5.4012096266691 \tabularnewline
0.58 & 513.361689647717 & 5.5467610309548 \tabularnewline
0.59 & 514.430973082332 & 5.56108667973578 \tabularnewline
0.6 & 515.49281678986 & 5.44293676579322 \tabularnewline
0.61 & 516.526274817949 & 5.20950210692677 \tabularnewline
0.62 & 517.515832403116 & 4.89638294427379 \tabularnewline
0.63 & 518.454319757648 & 4.55488234292178 \tabularnewline
0.64 & 519.344598257717 & 4.24399407241462 \tabularnewline
0.65 & 520.199627165351 & 4.02342958468651 \tabularnewline
0.66 & 521.040778018961 & 3.94276263515834 \tabularnewline
0.67 & 521.894560282098 & 4.02663668416529 \tabularnewline
0.68 & 522.788211731619 & 4.26418464702721 \tabularnewline
0.69 & 523.7448449116 & 4.61449836630159 \tabularnewline
0.7 & 524.778982321227 & 5.01232961485841 \tabularnewline
0.71 & 525.893319640916 & 5.38922147022562 \tabularnewline
0.72 & 527.077406222946 & 5.67603344376396 \tabularnewline
0.73 & 528.30863193928 & 5.81940058443818 \tabularnewline
0.74 & 529.555503040716 & 5.78647355377402 \tabularnewline
0.75 & 530.782754432447 & 5.5731194883377 \tabularnewline
0.76 & 531.957474403444 & 5.20120383437863 \tabularnewline
0.77 & 533.055189688923 & 4.7215613015861 \tabularnewline
0.78 & 534.064814480524 & 4.20226492343233 \tabularnewline
0.79 & 534.991501437436 & 3.72176310308899 \tabularnewline
0.8 & 535.856711636464 & 3.35965503532125 \tabularnewline
0.81 & 536.695210828576 & 3.17950632191961 \tabularnewline
0.82 & 537.549188978257 & 3.21042557090658 \tabularnewline
0.83 & 538.4602805052 & 3.42695633734825 \tabularnewline
0.84 & 539.460875889624 & 3.75677752190098 \tabularnewline
0.85 & 540.566599497425 & 4.10514487943167 \tabularnewline
0.86 & 541.771927362961 & 4.37799697673607 \tabularnewline
0.87 & 543.050399002372 & 4.50007334142888 \tabularnewline
0.88 & 544.359718415409 & 4.43075384075641 \tabularnewline
0.89 & 545.650558073629 & 4.16974277326246 \tabularnewline
0.9 & 546.876635205729 & 3.75626233636284 \tabularnewline
0.91 & 548.003107412054 & 3.25248574661889 \tabularnewline
0.92 & 549.010674064477 & 2.72659290186758 \tabularnewline
0.93 & 549.893891619717 & 2.23207083818978 \tabularnewline
0.94 & 550.654270386897 & 1.79295657191529 \tabularnewline
0.95 & 551.292034302067 & 1.39762005564966 \tabularnewline
0.96 & 551.803874984552 & 1.01779039296496 \tabularnewline
0.97 & 552.19260809436 & 0.655332832126365 \tabularnewline
0.98 & 552.480655137528 & 0.37939359002644 \tabularnewline
0.99 & 552.697469538085 & 0.301930013989156 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212499&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]463.163138590341[/C][C]2.11627575684515[/C][/ROW]
[ROW][C]0.02[/C][C]464.501540591649[/C][C]1.90960164336454[/C][/ROW]
[ROW][C]0.03[/C][C]465.790026719181[/C][C]1.92986212746067[/C][/ROW]
[ROW][C]0.04[/C][C]466.878126473748[/C][C]1.78361900098462[/C][/ROW]
[ROW][C]0.05[/C][C]467.732500961295[/C][C]1.4188610458297[/C][/ROW]
[ROW][C]0.06[/C][C]468.356557151989[/C][C]1.00936018826609[/C][/ROW]
[ROW][C]0.07[/C][C]468.793533833973[/C][C]0.730874646970708[/C][/ROW]
[ROW][C]0.08[/C][C]469.119475832804[/C][C]0.704649784996888[/C][/ROW]
[ROW][C]0.09[/C][C]469.421585530341[/C][C]0.956752162382751[/C][/ROW]
[ROW][C]0.1[/C][C]469.780292039464[/C][C]1.42924567623855[/C][/ROW]
[ROW][C]0.11[/C][C]470.259742465924[/C][C]2.06471847939297[/C][/ROW]
[ROW][C]0.12[/C][C]470.9028154802[/C][C]2.79643126486444[/C][/ROW]
[ROW][C]0.13[/C][C]471.727752391518[/C][C]3.53690734261329[/C][/ROW]
[ROW][C]0.14[/C][C]472.726817079707[/C][C]4.19100093713924[/C][/ROW]
[ROW][C]0.15[/C][C]473.868703780209[/C][C]4.67659938957448[/C][/ROW]
[ROW][C]0.16[/C][C]475.105427338072[/C][C]4.94792493913229[/C][/ROW]
[ROW][C]0.17[/C][C]476.382553709305[/C][C]5.00275007691459[/C][/ROW]
[ROW][C]0.18[/C][C]477.650240503859[/C][C]4.88273352085502[/C][/ROW]
[ROW][C]0.19[/C][C]478.87232155664[/C][C]4.66134962683205[/C][/ROW]
[ROW][C]0.2[/C][C]480.031481168526[/C][C]4.42743705422806[/C][/ROW]
[ROW][C]0.21[/C][C]481.129865744949[/C][C]4.26583858481469[/C][/ROW]
[ROW][C]0.22[/C][C]482.185679664765[/C][C]4.24090225505601[/C][/ROW]
[ROW][C]0.23[/C][C]483.227062730665[/C][C]4.380796366315[/C][/ROW]
[ROW][C]0.24[/C][C]484.284804286698[/C][C]4.67052966456921[/C][/ROW]
[ROW][C]0.25[/C][C]485.385352416009[/C][C]5.06261719743926[/C][/ROW]
[ROW][C]0.26[/C][C]486.54528958251[/C][C]5.48717930292543[/C][/ROW]
[ROW][C]0.27[/C][C]487.768068623536[/C][C]5.87239110603858[/C][/ROW]
[ROW][C]0.28[/C][C]489.043372250477[/C][C]6.15270519665268[/C][/ROW]
[ROW][C]0.29[/C][C]490.348999536667[/C][C]6.27905675221296[/C][/ROW]
[ROW][C]0.3[/C][C]491.654747269512[/C][C]6.22862658592015[/C][/ROW]
[ROW][C]0.31[/C][C]492.927425148795[/C][C]6.002836795351[/C][/ROW]
[ROW][C]0.32[/C][C]494.136000095696[/C][C]5.62775671387484[/C][/ROW]
[ROW][C]0.33[/C][C]495.255940263995[/C][C]5.14578591138882[/C][/ROW]
[ROW][C]0.34[/C][C]496.272093131523[/C][C]4.611409157404[/C][/ROW]
[ROW][C]0.35[/C][C]497.179800415105[/C][C]4.07813011276753[/C][/ROW]
[ROW][C]0.36[/C][C]497.984321964792[/C][C]3.59515112630705[/C][/ROW]
[ROW][C]0.37[/C][C]498.698925506893[/C][C]3.19995810817614[/C][/ROW]
[ROW][C]0.38[/C][C]499.342155305779[/C][C]2.91558789919739[/C][/ROW]
[ROW][C]0.39[/C][C]499.934822014568[/C][C]2.74926275628076[/C][/ROW]
[ROW][C]0.4[/C][C]500.497191091379[/C][C]2.6894153238337[/C][/ROW]
[ROW][C]0.41[/C][C]501.046731292624[/C][C]2.71106008085047[/C][/ROW]
[ROW][C]0.42[/C][C]501.596653399534[/C][C]2.78371895859499[/C][/ROW]
[ROW][C]0.43[/C][C]502.155342086034[/C][C]2.8776862104616[/C][/ROW]
[ROW][C]0.44[/C][C]502.7266662202[/C][C]2.96884618176492[/C][/ROW]
[ROW][C]0.45[/C][C]503.31104422215[/C][C]3.04207632826289[/C][/ROW]
[ROW][C]0.46[/C][C]503.90704287406[/C][C]3.09222195632483[/C][/ROW]
[ROW][C]0.47[/C][C]504.51320851149[/C][C]3.12784375509946[/C][/ROW]
[ROW][C]0.48[/C][C]505.12978328535[/C][C]3.16325121373977[/C][/ROW]
[ROW][C]0.49[/C][C]505.759961865543[/C][C]3.22367827610512[/C][/ROW]
[ROW][C]0.5[/C][C]506.410405903649[/C][C]3.33281252574945[/C][/ROW]
[ROW][C]0.51[/C][C]507.090854228895[/C][C]3.51075939653899[/C][/ROW]
[ROW][C]0.52[/C][C]507.81283200316[/C][C]3.76413660965569[/C][/ROW]
[ROW][C]0.53[/C][C]508.587645143258[/C][C]4.08411062619677[/C][/ROW]
[ROW][C]0.54[/C][C]509.424012101155[/C][C]4.44624299982205[/C][/ROW]
[ROW][C]0.55[/C][C]510.325796934332[/C][C]4.81437194240544[/C][/ROW]
[ROW][C]0.56[/C][C]511.290335588779[/C][C]5.14669238624489[/C][/ROW]
[ROW][C]0.57[/C][C]512.307776250474[/C][C]5.4012096266691[/C][/ROW]
[ROW][C]0.58[/C][C]513.361689647717[/C][C]5.5467610309548[/C][/ROW]
[ROW][C]0.59[/C][C]514.430973082332[/C][C]5.56108667973578[/C][/ROW]
[ROW][C]0.6[/C][C]515.49281678986[/C][C]5.44293676579322[/C][/ROW]
[ROW][C]0.61[/C][C]516.526274817949[/C][C]5.20950210692677[/C][/ROW]
[ROW][C]0.62[/C][C]517.515832403116[/C][C]4.89638294427379[/C][/ROW]
[ROW][C]0.63[/C][C]518.454319757648[/C][C]4.55488234292178[/C][/ROW]
[ROW][C]0.64[/C][C]519.344598257717[/C][C]4.24399407241462[/C][/ROW]
[ROW][C]0.65[/C][C]520.199627165351[/C][C]4.02342958468651[/C][/ROW]
[ROW][C]0.66[/C][C]521.040778018961[/C][C]3.94276263515834[/C][/ROW]
[ROW][C]0.67[/C][C]521.894560282098[/C][C]4.02663668416529[/C][/ROW]
[ROW][C]0.68[/C][C]522.788211731619[/C][C]4.26418464702721[/C][/ROW]
[ROW][C]0.69[/C][C]523.7448449116[/C][C]4.61449836630159[/C][/ROW]
[ROW][C]0.7[/C][C]524.778982321227[/C][C]5.01232961485841[/C][/ROW]
[ROW][C]0.71[/C][C]525.893319640916[/C][C]5.38922147022562[/C][/ROW]
[ROW][C]0.72[/C][C]527.077406222946[/C][C]5.67603344376396[/C][/ROW]
[ROW][C]0.73[/C][C]528.30863193928[/C][C]5.81940058443818[/C][/ROW]
[ROW][C]0.74[/C][C]529.555503040716[/C][C]5.78647355377402[/C][/ROW]
[ROW][C]0.75[/C][C]530.782754432447[/C][C]5.5731194883377[/C][/ROW]
[ROW][C]0.76[/C][C]531.957474403444[/C][C]5.20120383437863[/C][/ROW]
[ROW][C]0.77[/C][C]533.055189688923[/C][C]4.7215613015861[/C][/ROW]
[ROW][C]0.78[/C][C]534.064814480524[/C][C]4.20226492343233[/C][/ROW]
[ROW][C]0.79[/C][C]534.991501437436[/C][C]3.72176310308899[/C][/ROW]
[ROW][C]0.8[/C][C]535.856711636464[/C][C]3.35965503532125[/C][/ROW]
[ROW][C]0.81[/C][C]536.695210828576[/C][C]3.17950632191961[/C][/ROW]
[ROW][C]0.82[/C][C]537.549188978257[/C][C]3.21042557090658[/C][/ROW]
[ROW][C]0.83[/C][C]538.4602805052[/C][C]3.42695633734825[/C][/ROW]
[ROW][C]0.84[/C][C]539.460875889624[/C][C]3.75677752190098[/C][/ROW]
[ROW][C]0.85[/C][C]540.566599497425[/C][C]4.10514487943167[/C][/ROW]
[ROW][C]0.86[/C][C]541.771927362961[/C][C]4.37799697673607[/C][/ROW]
[ROW][C]0.87[/C][C]543.050399002372[/C][C]4.50007334142888[/C][/ROW]
[ROW][C]0.88[/C][C]544.359718415409[/C][C]4.43075384075641[/C][/ROW]
[ROW][C]0.89[/C][C]545.650558073629[/C][C]4.16974277326246[/C][/ROW]
[ROW][C]0.9[/C][C]546.876635205729[/C][C]3.75626233636284[/C][/ROW]
[ROW][C]0.91[/C][C]548.003107412054[/C][C]3.25248574661889[/C][/ROW]
[ROW][C]0.92[/C][C]549.010674064477[/C][C]2.72659290186758[/C][/ROW]
[ROW][C]0.93[/C][C]549.893891619717[/C][C]2.23207083818978[/C][/ROW]
[ROW][C]0.94[/C][C]550.654270386897[/C][C]1.79295657191529[/C][/ROW]
[ROW][C]0.95[/C][C]551.292034302067[/C][C]1.39762005564966[/C][/ROW]
[ROW][C]0.96[/C][C]551.803874984552[/C][C]1.01779039296496[/C][/ROW]
[ROW][C]0.97[/C][C]552.19260809436[/C][C]0.655332832126365[/C][/ROW]
[ROW][C]0.98[/C][C]552.480655137528[/C][C]0.37939359002644[/C][/ROW]
[ROW][C]0.99[/C][C]552.697469538085[/C][C]0.301930013989156[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212499&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212499&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
0.01463.1631385903412.11627575684515
0.02464.5015405916491.90960164336454
0.03465.7900267191811.92986212746067
0.04466.8781264737481.78361900098462
0.05467.7325009612951.4188610458297
0.06468.3565571519891.00936018826609
0.07468.7935338339730.730874646970708
0.08469.1194758328040.704649784996888
0.09469.4215855303410.956752162382751
0.1469.7802920394641.42924567623855
0.11470.2597424659242.06471847939297
0.12470.90281548022.79643126486444
0.13471.7277523915183.53690734261329
0.14472.7268170797074.19100093713924
0.15473.8687037802094.67659938957448
0.16475.1054273380724.94792493913229
0.17476.3825537093055.00275007691459
0.18477.6502405038594.88273352085502
0.19478.872321556644.66134962683205
0.2480.0314811685264.42743705422806
0.21481.1298657449494.26583858481469
0.22482.1856796647654.24090225505601
0.23483.2270627306654.380796366315
0.24484.2848042866984.67052966456921
0.25485.3853524160095.06261719743926
0.26486.545289582515.48717930292543
0.27487.7680686235365.87239110603858
0.28489.0433722504776.15270519665268
0.29490.3489995366676.27905675221296
0.3491.6547472695126.22862658592015
0.31492.9274251487956.002836795351
0.32494.1360000956965.62775671387484
0.33495.2559402639955.14578591138882
0.34496.2720931315234.611409157404
0.35497.1798004151054.07813011276753
0.36497.9843219647923.59515112630705
0.37498.6989255068933.19995810817614
0.38499.3421553057792.91558789919739
0.39499.9348220145682.74926275628076
0.4500.4971910913792.6894153238337
0.41501.0467312926242.71106008085047
0.42501.5966533995342.78371895859499
0.43502.1553420860342.8776862104616
0.44502.72666622022.96884618176492
0.45503.311044222153.04207632826289
0.46503.907042874063.09222195632483
0.47504.513208511493.12784375509946
0.48505.129783285353.16325121373977
0.49505.7599618655433.22367827610512
0.5506.4104059036493.33281252574945
0.51507.0908542288953.51075939653899
0.52507.812832003163.76413660965569
0.53508.5876451432584.08411062619677
0.54509.4240121011554.44624299982205
0.55510.3257969343324.81437194240544
0.56511.2903355887795.14669238624489
0.57512.3077762504745.4012096266691
0.58513.3616896477175.5467610309548
0.59514.4309730823325.56108667973578
0.6515.492816789865.44293676579322
0.61516.5262748179495.20950210692677
0.62517.5158324031164.89638294427379
0.63518.4543197576484.55488234292178
0.64519.3445982577174.24399407241462
0.65520.1996271653514.02342958468651
0.66521.0407780189613.94276263515834
0.67521.8945602820984.02663668416529
0.68522.7882117316194.26418464702721
0.69523.74484491164.61449836630159
0.7524.7789823212275.01232961485841
0.71525.8933196409165.38922147022562
0.72527.0774062229465.67603344376396
0.73528.308631939285.81940058443818
0.74529.5555030407165.78647355377402
0.75530.7827544324475.5731194883377
0.76531.9574744034445.20120383437863
0.77533.0551896889234.7215613015861
0.78534.0648144805244.20226492343233
0.79534.9915014374363.72176310308899
0.8535.8567116364643.35965503532125
0.81536.6952108285763.17950632191961
0.82537.5491889782573.21042557090658
0.83538.46028050523.42695633734825
0.84539.4608758896243.75677752190098
0.85540.5665994974254.10514487943167
0.86541.7719273629614.37799697673607
0.87543.0503990023724.50007334142888
0.88544.3597184154094.43075384075641
0.89545.6505580736294.16974277326246
0.9546.8766352057293.75626233636284
0.91548.0031074120543.25248574661889
0.92549.0106740644772.72659290186758
0.93549.8938916197172.23207083818978
0.94550.6542703868971.79295657191529
0.95551.2920343020671.39762005564966
0.96551.8038749845521.01779039296496
0.97552.192608094360.655332832126365
0.98552.4806551375280.37939359002644
0.99552.6974695380850.301930013989156


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')