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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, 08 Oct 2012 06:30:44 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/08/t1349692298bhnriu4fr81rdkm.htm/, Retrieved Thu, 02 May 2024 10:26:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=173332, Retrieved Thu, 02 May 2024 10:26:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact50

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] [Kwantielen Harrel...] [2012-10-08 10:30:44] [5af040df2efe5a417a92383fa6aaebd4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
99,42
99,42
99,42
99,42
99,42
109,26
110,00
110,00
109,26
100,07
100,07
100,05
100,05
100,05
100,05
100,05
100,05
108,77
111,32
111,60
108,52
103,13
102,87
102,75
102,75
102,75
102,75
102,75
102,75
115,22
115,53
115,40
111,99
107,93
107,43
106,98
106,98
106,98
106,98
106,98
106,98
113,71
118,77
118,54
116,16
110,52
110,06
109,90
109,90
110,72
110,09
110,07
112,45
113,06
119,83
119,84
113,73
110,50
110,12
109,86
110,36
110,36
110,59
112,52
112,10
115,90
122,96
121,26
114,55
111,57
110,65
109,77

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=173332&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=173332&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=173332&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0199.42171634325650.00720688753120843
0.0299.42935951848440.0316672069164301
0.0399.44934344366690.0791425860118031
0.0499.48768275998450.143732812697782
0.0599.5468087889780.208932875920844
0.0699.62400520478770.256925478082213
0.0799.71258393161180.278575184660703
0.0899.80508510366650.278294915214278
0.0999.89670649007820.273355365431376
0.199.98736750900390.288494992599109
0.11100.0817835190550.344019683945767
0.12100.1878803049550.444096929748328
0.13100.3143742784220.579403868611653
0.14100.4683800505480.734297891426253
0.15100.6536878723060.890832540730338
0.16100.8700578895331.03111683261633
0.17101.11358837521.1420682719474
0.18101.3779588746271.21771403224334
0.19101.6561542855591.26100121649076
0.2101.9421819735811.28322284043075
0.21102.232329557351.30088064447125
0.22102.5256678070371.33100778912898
0.23102.8237319080571.38511914782475
0.24103.129543034721.46576937006021
0.25103.4462938009641.56554794288341
0.26103.776076619531.67067177678768
0.27104.118980948471.76505934663872
0.28104.4727530120851.83430733861796
0.29104.8330465408731.86844231208242
0.3105.194143365111.86361306338288
0.31105.5499244110251.82163440189354
0.32105.8948416283221.75003494822491
0.33106.2246762482691.65927535387979
0.34106.5369493213891.56139279414227
0.35106.8309493311321.46683435343238
0.36107.107431729381.38326361252836
0.37107.3681065878641.31413922679468
0.38107.6150542507411.25899615407263
0.39107.8501970176841.21389922453874
0.4108.0749177869291.17373035178703
0.41108.2898682886481.13305146283068
0.42108.4949633978331.08730916237632
0.43108.6895235376531.03384808731944
0.44108.8725086940670.971554233433772
0.45109.042784591660.901287654284506
0.46109.1993703785530.824699145550695
0.47109.3416325899310.744533051349371
0.48109.4694073032040.664148520206266
0.49109.5830476351420.586366066766301
0.5109.6834050663060.514178302981169
0.51109.7717599772130.449795103199437
0.52109.8497197123540.394990224008464
0.53109.9191024019250.350890990044758
0.54109.9818226726990.317984246729227
0.55110.0397920783860.295930212348231
0.56110.0948431107450.284102335660373
0.57110.148681332580.281564703013692
0.58110.202865734540.286814085403079
0.59110.2588131515390.298942966142525
0.6110.3178189299550.317396752900343
0.61110.3810836188460.341362569498668
0.62110.4497349121530.370651263656819
0.63110.5248358602520.405021032631296
0.64110.6073745284670.444047644657823
0.65110.6982362040990.48680283237669
0.66110.7981656726740.532334845681968
0.67110.9077322650140.579367188535366
0.68111.0273125516350.626453797444612
0.69111.1571034863880.672321884067116
0.7111.2971722652110.716110726500749
0.71111.4475392515880.757668558456045
0.72111.6082792857310.797453478359649
0.73111.7796174638120.836732540630878
0.74111.9619908859440.876811459553376
0.75112.1560499519120.918883197130458
0.76112.3625823028610.963798699081842
0.77112.5823589639271.01114118834049
0.78112.8159241347331.05917382319534
0.79113.063375056731.10524162814802
0.8113.3242028145791.14549928689495
0.81113.5972825765391.17617089433059
0.82113.8811023046481.19448741307859
0.83114.1742878409261.20016702607886
0.84114.4764047721461.19656663544337
0.85114.7888888699411.1916746572236
0.86115.1157980928961.19818045687969
0.87115.4639509115711.22994977518779
0.88115.8420181085651.29614702141406
0.89116.2583765250311.39295923918502
0.9116.7180640905251.50022892226236
0.91117.21990762341.58549258121844
0.92117.7555491541131.61495109005355
0.93118.3122263235271.56818481088128
0.94118.8802649560091.45342640043515
0.95119.4638754157261.31608002747862
0.96120.0894998012131.23091214135692
0.97120.7988472822821.25587428765351
0.98121.6062294685991.37827534878667
0.99122.4132098490861.54309006976634

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 99.4217163432565 & 0.00720688753120843 \tabularnewline
0.02 & 99.4293595184844 & 0.0316672069164301 \tabularnewline
0.03 & 99.4493434436669 & 0.0791425860118031 \tabularnewline
0.04 & 99.4876827599845 & 0.143732812697782 \tabularnewline
0.05 & 99.546808788978 & 0.208932875920844 \tabularnewline
0.06 & 99.6240052047877 & 0.256925478082213 \tabularnewline
0.07 & 99.7125839316118 & 0.278575184660703 \tabularnewline
0.08 & 99.8050851036665 & 0.278294915214278 \tabularnewline
0.09 & 99.8967064900782 & 0.273355365431376 \tabularnewline
0.1 & 99.9873675090039 & 0.288494992599109 \tabularnewline
0.11 & 100.081783519055 & 0.344019683945767 \tabularnewline
0.12 & 100.187880304955 & 0.444096929748328 \tabularnewline
0.13 & 100.314374278422 & 0.579403868611653 \tabularnewline
0.14 & 100.468380050548 & 0.734297891426253 \tabularnewline
0.15 & 100.653687872306 & 0.890832540730338 \tabularnewline
0.16 & 100.870057889533 & 1.03111683261633 \tabularnewline
0.17 & 101.1135883752 & 1.1420682719474 \tabularnewline
0.18 & 101.377958874627 & 1.21771403224334 \tabularnewline
0.19 & 101.656154285559 & 1.26100121649076 \tabularnewline
0.2 & 101.942181973581 & 1.28322284043075 \tabularnewline
0.21 & 102.23232955735 & 1.30088064447125 \tabularnewline
0.22 & 102.525667807037 & 1.33100778912898 \tabularnewline
0.23 & 102.823731908057 & 1.38511914782475 \tabularnewline
0.24 & 103.12954303472 & 1.46576937006021 \tabularnewline
0.25 & 103.446293800964 & 1.56554794288341 \tabularnewline
0.26 & 103.77607661953 & 1.67067177678768 \tabularnewline
0.27 & 104.11898094847 & 1.76505934663872 \tabularnewline
0.28 & 104.472753012085 & 1.83430733861796 \tabularnewline
0.29 & 104.833046540873 & 1.86844231208242 \tabularnewline
0.3 & 105.19414336511 & 1.86361306338288 \tabularnewline
0.31 & 105.549924411025 & 1.82163440189354 \tabularnewline
0.32 & 105.894841628322 & 1.75003494822491 \tabularnewline
0.33 & 106.224676248269 & 1.65927535387979 \tabularnewline
0.34 & 106.536949321389 & 1.56139279414227 \tabularnewline
0.35 & 106.830949331132 & 1.46683435343238 \tabularnewline
0.36 & 107.10743172938 & 1.38326361252836 \tabularnewline
0.37 & 107.368106587864 & 1.31413922679468 \tabularnewline
0.38 & 107.615054250741 & 1.25899615407263 \tabularnewline
0.39 & 107.850197017684 & 1.21389922453874 \tabularnewline
0.4 & 108.074917786929 & 1.17373035178703 \tabularnewline
0.41 & 108.289868288648 & 1.13305146283068 \tabularnewline
0.42 & 108.494963397833 & 1.08730916237632 \tabularnewline
0.43 & 108.689523537653 & 1.03384808731944 \tabularnewline
0.44 & 108.872508694067 & 0.971554233433772 \tabularnewline
0.45 & 109.04278459166 & 0.901287654284506 \tabularnewline
0.46 & 109.199370378553 & 0.824699145550695 \tabularnewline
0.47 & 109.341632589931 & 0.744533051349371 \tabularnewline
0.48 & 109.469407303204 & 0.664148520206266 \tabularnewline
0.49 & 109.583047635142 & 0.586366066766301 \tabularnewline
0.5 & 109.683405066306 & 0.514178302981169 \tabularnewline
0.51 & 109.771759977213 & 0.449795103199437 \tabularnewline
0.52 & 109.849719712354 & 0.394990224008464 \tabularnewline
0.53 & 109.919102401925 & 0.350890990044758 \tabularnewline
0.54 & 109.981822672699 & 0.317984246729227 \tabularnewline
0.55 & 110.039792078386 & 0.295930212348231 \tabularnewline
0.56 & 110.094843110745 & 0.284102335660373 \tabularnewline
0.57 & 110.14868133258 & 0.281564703013692 \tabularnewline
0.58 & 110.20286573454 & 0.286814085403079 \tabularnewline
0.59 & 110.258813151539 & 0.298942966142525 \tabularnewline
0.6 & 110.317818929955 & 0.317396752900343 \tabularnewline
0.61 & 110.381083618846 & 0.341362569498668 \tabularnewline
0.62 & 110.449734912153 & 0.370651263656819 \tabularnewline
0.63 & 110.524835860252 & 0.405021032631296 \tabularnewline
0.64 & 110.607374528467 & 0.444047644657823 \tabularnewline
0.65 & 110.698236204099 & 0.48680283237669 \tabularnewline
0.66 & 110.798165672674 & 0.532334845681968 \tabularnewline
0.67 & 110.907732265014 & 0.579367188535366 \tabularnewline
0.68 & 111.027312551635 & 0.626453797444612 \tabularnewline
0.69 & 111.157103486388 & 0.672321884067116 \tabularnewline
0.7 & 111.297172265211 & 0.716110726500749 \tabularnewline
0.71 & 111.447539251588 & 0.757668558456045 \tabularnewline
0.72 & 111.608279285731 & 0.797453478359649 \tabularnewline
0.73 & 111.779617463812 & 0.836732540630878 \tabularnewline
0.74 & 111.961990885944 & 0.876811459553376 \tabularnewline
0.75 & 112.156049951912 & 0.918883197130458 \tabularnewline
0.76 & 112.362582302861 & 0.963798699081842 \tabularnewline
0.77 & 112.582358963927 & 1.01114118834049 \tabularnewline
0.78 & 112.815924134733 & 1.05917382319534 \tabularnewline
0.79 & 113.06337505673 & 1.10524162814802 \tabularnewline
0.8 & 113.324202814579 & 1.14549928689495 \tabularnewline
0.81 & 113.597282576539 & 1.17617089433059 \tabularnewline
0.82 & 113.881102304648 & 1.19448741307859 \tabularnewline
0.83 & 114.174287840926 & 1.20016702607886 \tabularnewline
0.84 & 114.476404772146 & 1.19656663544337 \tabularnewline
0.85 & 114.788888869941 & 1.1916746572236 \tabularnewline
0.86 & 115.115798092896 & 1.19818045687969 \tabularnewline
0.87 & 115.463950911571 & 1.22994977518779 \tabularnewline
0.88 & 115.842018108565 & 1.29614702141406 \tabularnewline
0.89 & 116.258376525031 & 1.39295923918502 \tabularnewline
0.9 & 116.718064090525 & 1.50022892226236 \tabularnewline
0.91 & 117.2199076234 & 1.58549258121844 \tabularnewline
0.92 & 117.755549154113 & 1.61495109005355 \tabularnewline
0.93 & 118.312226323527 & 1.56818481088128 \tabularnewline
0.94 & 118.880264956009 & 1.45342640043515 \tabularnewline
0.95 & 119.463875415726 & 1.31608002747862 \tabularnewline
0.96 & 120.089499801213 & 1.23091214135692 \tabularnewline
0.97 & 120.798847282282 & 1.25587428765351 \tabularnewline
0.98 & 121.606229468599 & 1.37827534878667 \tabularnewline
0.99 & 122.413209849086 & 1.54309006976634 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=173332&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]99.4217163432565[/C][C]0.00720688753120843[/C][/ROW]
[ROW][C]0.02[/C][C]99.4293595184844[/C][C]0.0316672069164301[/C][/ROW]
[ROW][C]0.03[/C][C]99.4493434436669[/C][C]0.0791425860118031[/C][/ROW]
[ROW][C]0.04[/C][C]99.4876827599845[/C][C]0.143732812697782[/C][/ROW]
[ROW][C]0.05[/C][C]99.546808788978[/C][C]0.208932875920844[/C][/ROW]
[ROW][C]0.06[/C][C]99.6240052047877[/C][C]0.256925478082213[/C][/ROW]
[ROW][C]0.07[/C][C]99.7125839316118[/C][C]0.278575184660703[/C][/ROW]
[ROW][C]0.08[/C][C]99.8050851036665[/C][C]0.278294915214278[/C][/ROW]
[ROW][C]0.09[/C][C]99.8967064900782[/C][C]0.273355365431376[/C][/ROW]
[ROW][C]0.1[/C][C]99.9873675090039[/C][C]0.288494992599109[/C][/ROW]
[ROW][C]0.11[/C][C]100.081783519055[/C][C]0.344019683945767[/C][/ROW]
[ROW][C]0.12[/C][C]100.187880304955[/C][C]0.444096929748328[/C][/ROW]
[ROW][C]0.13[/C][C]100.314374278422[/C][C]0.579403868611653[/C][/ROW]
[ROW][C]0.14[/C][C]100.468380050548[/C][C]0.734297891426253[/C][/ROW]
[ROW][C]0.15[/C][C]100.653687872306[/C][C]0.890832540730338[/C][/ROW]
[ROW][C]0.16[/C][C]100.870057889533[/C][C]1.03111683261633[/C][/ROW]
[ROW][C]0.17[/C][C]101.1135883752[/C][C]1.1420682719474[/C][/ROW]
[ROW][C]0.18[/C][C]101.377958874627[/C][C]1.21771403224334[/C][/ROW]
[ROW][C]0.19[/C][C]101.656154285559[/C][C]1.26100121649076[/C][/ROW]
[ROW][C]0.2[/C][C]101.942181973581[/C][C]1.28322284043075[/C][/ROW]
[ROW][C]0.21[/C][C]102.23232955735[/C][C]1.30088064447125[/C][/ROW]
[ROW][C]0.22[/C][C]102.525667807037[/C][C]1.33100778912898[/C][/ROW]
[ROW][C]0.23[/C][C]102.823731908057[/C][C]1.38511914782475[/C][/ROW]
[ROW][C]0.24[/C][C]103.12954303472[/C][C]1.46576937006021[/C][/ROW]
[ROW][C]0.25[/C][C]103.446293800964[/C][C]1.56554794288341[/C][/ROW]
[ROW][C]0.26[/C][C]103.77607661953[/C][C]1.67067177678768[/C][/ROW]
[ROW][C]0.27[/C][C]104.11898094847[/C][C]1.76505934663872[/C][/ROW]
[ROW][C]0.28[/C][C]104.472753012085[/C][C]1.83430733861796[/C][/ROW]
[ROW][C]0.29[/C][C]104.833046540873[/C][C]1.86844231208242[/C][/ROW]
[ROW][C]0.3[/C][C]105.19414336511[/C][C]1.86361306338288[/C][/ROW]
[ROW][C]0.31[/C][C]105.549924411025[/C][C]1.82163440189354[/C][/ROW]
[ROW][C]0.32[/C][C]105.894841628322[/C][C]1.75003494822491[/C][/ROW]
[ROW][C]0.33[/C][C]106.224676248269[/C][C]1.65927535387979[/C][/ROW]
[ROW][C]0.34[/C][C]106.536949321389[/C][C]1.56139279414227[/C][/ROW]
[ROW][C]0.35[/C][C]106.830949331132[/C][C]1.46683435343238[/C][/ROW]
[ROW][C]0.36[/C][C]107.10743172938[/C][C]1.38326361252836[/C][/ROW]
[ROW][C]0.37[/C][C]107.368106587864[/C][C]1.31413922679468[/C][/ROW]
[ROW][C]0.38[/C][C]107.615054250741[/C][C]1.25899615407263[/C][/ROW]
[ROW][C]0.39[/C][C]107.850197017684[/C][C]1.21389922453874[/C][/ROW]
[ROW][C]0.4[/C][C]108.074917786929[/C][C]1.17373035178703[/C][/ROW]
[ROW][C]0.41[/C][C]108.289868288648[/C][C]1.13305146283068[/C][/ROW]
[ROW][C]0.42[/C][C]108.494963397833[/C][C]1.08730916237632[/C][/ROW]
[ROW][C]0.43[/C][C]108.689523537653[/C][C]1.03384808731944[/C][/ROW]
[ROW][C]0.44[/C][C]108.872508694067[/C][C]0.971554233433772[/C][/ROW]
[ROW][C]0.45[/C][C]109.04278459166[/C][C]0.901287654284506[/C][/ROW]
[ROW][C]0.46[/C][C]109.199370378553[/C][C]0.824699145550695[/C][/ROW]
[ROW][C]0.47[/C][C]109.341632589931[/C][C]0.744533051349371[/C][/ROW]
[ROW][C]0.48[/C][C]109.469407303204[/C][C]0.664148520206266[/C][/ROW]
[ROW][C]0.49[/C][C]109.583047635142[/C][C]0.586366066766301[/C][/ROW]
[ROW][C]0.5[/C][C]109.683405066306[/C][C]0.514178302981169[/C][/ROW]
[ROW][C]0.51[/C][C]109.771759977213[/C][C]0.449795103199437[/C][/ROW]
[ROW][C]0.52[/C][C]109.849719712354[/C][C]0.394990224008464[/C][/ROW]
[ROW][C]0.53[/C][C]109.919102401925[/C][C]0.350890990044758[/C][/ROW]
[ROW][C]0.54[/C][C]109.981822672699[/C][C]0.317984246729227[/C][/ROW]
[ROW][C]0.55[/C][C]110.039792078386[/C][C]0.295930212348231[/C][/ROW]
[ROW][C]0.56[/C][C]110.094843110745[/C][C]0.284102335660373[/C][/ROW]
[ROW][C]0.57[/C][C]110.14868133258[/C][C]0.281564703013692[/C][/ROW]
[ROW][C]0.58[/C][C]110.20286573454[/C][C]0.286814085403079[/C][/ROW]
[ROW][C]0.59[/C][C]110.258813151539[/C][C]0.298942966142525[/C][/ROW]
[ROW][C]0.6[/C][C]110.317818929955[/C][C]0.317396752900343[/C][/ROW]
[ROW][C]0.61[/C][C]110.381083618846[/C][C]0.341362569498668[/C][/ROW]
[ROW][C]0.62[/C][C]110.449734912153[/C][C]0.370651263656819[/C][/ROW]
[ROW][C]0.63[/C][C]110.524835860252[/C][C]0.405021032631296[/C][/ROW]
[ROW][C]0.64[/C][C]110.607374528467[/C][C]0.444047644657823[/C][/ROW]
[ROW][C]0.65[/C][C]110.698236204099[/C][C]0.48680283237669[/C][/ROW]
[ROW][C]0.66[/C][C]110.798165672674[/C][C]0.532334845681968[/C][/ROW]
[ROW][C]0.67[/C][C]110.907732265014[/C][C]0.579367188535366[/C][/ROW]
[ROW][C]0.68[/C][C]111.027312551635[/C][C]0.626453797444612[/C][/ROW]
[ROW][C]0.69[/C][C]111.157103486388[/C][C]0.672321884067116[/C][/ROW]
[ROW][C]0.7[/C][C]111.297172265211[/C][C]0.716110726500749[/C][/ROW]
[ROW][C]0.71[/C][C]111.447539251588[/C][C]0.757668558456045[/C][/ROW]
[ROW][C]0.72[/C][C]111.608279285731[/C][C]0.797453478359649[/C][/ROW]
[ROW][C]0.73[/C][C]111.779617463812[/C][C]0.836732540630878[/C][/ROW]
[ROW][C]0.74[/C][C]111.961990885944[/C][C]0.876811459553376[/C][/ROW]
[ROW][C]0.75[/C][C]112.156049951912[/C][C]0.918883197130458[/C][/ROW]
[ROW][C]0.76[/C][C]112.362582302861[/C][C]0.963798699081842[/C][/ROW]
[ROW][C]0.77[/C][C]112.582358963927[/C][C]1.01114118834049[/C][/ROW]
[ROW][C]0.78[/C][C]112.815924134733[/C][C]1.05917382319534[/C][/ROW]
[ROW][C]0.79[/C][C]113.06337505673[/C][C]1.10524162814802[/C][/ROW]
[ROW][C]0.8[/C][C]113.324202814579[/C][C]1.14549928689495[/C][/ROW]
[ROW][C]0.81[/C][C]113.597282576539[/C][C]1.17617089433059[/C][/ROW]
[ROW][C]0.82[/C][C]113.881102304648[/C][C]1.19448741307859[/C][/ROW]
[ROW][C]0.83[/C][C]114.174287840926[/C][C]1.20016702607886[/C][/ROW]
[ROW][C]0.84[/C][C]114.476404772146[/C][C]1.19656663544337[/C][/ROW]
[ROW][C]0.85[/C][C]114.788888869941[/C][C]1.1916746572236[/C][/ROW]
[ROW][C]0.86[/C][C]115.115798092896[/C][C]1.19818045687969[/C][/ROW]
[ROW][C]0.87[/C][C]115.463950911571[/C][C]1.22994977518779[/C][/ROW]
[ROW][C]0.88[/C][C]115.842018108565[/C][C]1.29614702141406[/C][/ROW]
[ROW][C]0.89[/C][C]116.258376525031[/C][C]1.39295923918502[/C][/ROW]
[ROW][C]0.9[/C][C]116.718064090525[/C][C]1.50022892226236[/C][/ROW]
[ROW][C]0.91[/C][C]117.2199076234[/C][C]1.58549258121844[/C][/ROW]
[ROW][C]0.92[/C][C]117.755549154113[/C][C]1.61495109005355[/C][/ROW]
[ROW][C]0.93[/C][C]118.312226323527[/C][C]1.56818481088128[/C][/ROW]
[ROW][C]0.94[/C][C]118.880264956009[/C][C]1.45342640043515[/C][/ROW]
[ROW][C]0.95[/C][C]119.463875415726[/C][C]1.31608002747862[/C][/ROW]
[ROW][C]0.96[/C][C]120.089499801213[/C][C]1.23091214135692[/C][/ROW]
[ROW][C]0.97[/C][C]120.798847282282[/C][C]1.25587428765351[/C][/ROW]
[ROW][C]0.98[/C][C]121.606229468599[/C][C]1.37827534878667[/C][/ROW]
[ROW][C]0.99[/C][C]122.413209849086[/C][C]1.54309006976634[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=173332&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=173332&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
0.0199.42171634325650.00720688753120843
0.0299.42935951848440.0316672069164301
0.0399.44934344366690.0791425860118031
0.0499.48768275998450.143732812697782
0.0599.5468087889780.208932875920844
0.0699.62400520478770.256925478082213
0.0799.71258393161180.278575184660703
0.0899.80508510366650.278294915214278
0.0999.89670649007820.273355365431376
0.199.98736750900390.288494992599109
0.11100.0817835190550.344019683945767
0.12100.1878803049550.444096929748328
0.13100.3143742784220.579403868611653
0.14100.4683800505480.734297891426253
0.15100.6536878723060.890832540730338
0.16100.8700578895331.03111683261633
0.17101.11358837521.1420682719474
0.18101.3779588746271.21771403224334
0.19101.6561542855591.26100121649076
0.2101.9421819735811.28322284043075
0.21102.232329557351.30088064447125
0.22102.5256678070371.33100778912898
0.23102.8237319080571.38511914782475
0.24103.129543034721.46576937006021
0.25103.4462938009641.56554794288341
0.26103.776076619531.67067177678768
0.27104.118980948471.76505934663872
0.28104.4727530120851.83430733861796
0.29104.8330465408731.86844231208242
0.3105.194143365111.86361306338288
0.31105.5499244110251.82163440189354
0.32105.8948416283221.75003494822491
0.33106.2246762482691.65927535387979
0.34106.5369493213891.56139279414227
0.35106.8309493311321.46683435343238
0.36107.107431729381.38326361252836
0.37107.3681065878641.31413922679468
0.38107.6150542507411.25899615407263
0.39107.8501970176841.21389922453874
0.4108.0749177869291.17373035178703
0.41108.2898682886481.13305146283068
0.42108.4949633978331.08730916237632
0.43108.6895235376531.03384808731944
0.44108.8725086940670.971554233433772
0.45109.042784591660.901287654284506
0.46109.1993703785530.824699145550695
0.47109.3416325899310.744533051349371
0.48109.4694073032040.664148520206266
0.49109.5830476351420.586366066766301
0.5109.6834050663060.514178302981169
0.51109.7717599772130.449795103199437
0.52109.8497197123540.394990224008464
0.53109.9191024019250.350890990044758
0.54109.9818226726990.317984246729227
0.55110.0397920783860.295930212348231
0.56110.0948431107450.284102335660373
0.57110.148681332580.281564703013692
0.58110.202865734540.286814085403079
0.59110.2588131515390.298942966142525
0.6110.3178189299550.317396752900343
0.61110.3810836188460.341362569498668
0.62110.4497349121530.370651263656819
0.63110.5248358602520.405021032631296
0.64110.6073745284670.444047644657823
0.65110.6982362040990.48680283237669
0.66110.7981656726740.532334845681968
0.67110.9077322650140.579367188535366
0.68111.0273125516350.626453797444612
0.69111.1571034863880.672321884067116
0.7111.2971722652110.716110726500749
0.71111.4475392515880.757668558456045
0.72111.6082792857310.797453478359649
0.73111.7796174638120.836732540630878
0.74111.9619908859440.876811459553376
0.75112.1560499519120.918883197130458
0.76112.3625823028610.963798699081842
0.77112.5823589639271.01114118834049
0.78112.8159241347331.05917382319534
0.79113.063375056731.10524162814802
0.8113.3242028145791.14549928689495
0.81113.5972825765391.17617089433059
0.82113.8811023046481.19448741307859
0.83114.1742878409261.20016702607886
0.84114.4764047721461.19656663544337
0.85114.7888888699411.1916746572236
0.86115.1157980928961.19818045687969
0.87115.4639509115711.22994977518779
0.88115.8420181085651.29614702141406
0.89116.2583765250311.39295923918502
0.9116.7180640905251.50022892226236
0.91117.21990762341.58549258121844
0.92117.7555491541131.61495109005355
0.93118.3122263235271.56818481088128
0.94118.8802649560091.45342640043515
0.95119.4638754157261.31608002747862
0.96120.0894998012131.23091214135692
0.97120.7988472822821.25587428765351
0.98121.6062294685991.37827534878667
0.99122.4132098490861.54309006976634


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')