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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 computationSat, 22 Oct 2011 08:17:13 -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/2011/Oct/22/t1319285888xsyy0kqqqdf168c.htm/, Retrieved Wed, 15 May 2024 11:18:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=133753, Retrieved Wed, 15 May 2024 11:18:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142 , verbeterde percentielen
Estimated Impact118

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] [Decielen gem. pri...] [2011-10-22 12:09:49] [73b366456746118303ac4651ed29b8f6]
- R P     [Harrell-Davis Quantiles] [Gem. prijs reis n...] [2011-10-22 12:17:13] [a207ad521877ea2910ca3b39cbf26b1e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
104.77
111.04
104.5
102.42
103.05
105.84
107.92
108.22
104.26
105.19
103.25
108.16
105.27
113.99
109.84
104.33
105.48
109.68
111.54
110.63
107.8
108.02
105.59
111.64
107
116.14
117.18
102.28
109.43
114.28
117.39
116.66
114.29
114.18
114.12
122.62
115.7
127.91
119.55
115.08
116.63
121.38
123.41
120.7
119.4
116.83
116.4
121.67
116.54
129.61
119.93
117.64
121.01
124.2
125.23
123.24
121.58
120.89
117.77
110.91

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=133753&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=133753&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=133753&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
0.01102.3544599577160.239504292344544
0.02102.4996818424870.394089128164759
0.03102.7024087159940.53184662504469
0.04102.9419720369730.628501424265835
0.05103.1985881810270.685231513181591
0.06103.4567321328270.707956876652622
0.07103.705745968230.702910573112839
0.08103.9394255939250.679330189084893
0.09104.1553728926240.649559262203037
0.1104.354256759960.625221583868154
0.11104.538958295980.614231158646327
0.12104.7136655413640.620139434066906
0.13104.8830630550260.643410309108923
0.14105.0517269915420.683085449468157
0.15105.2237375810990.737698702201066
0.16105.4024454937820.804713817870334
0.17105.5903173273170.880297367552449
0.18105.7888232573310.959268697377944
0.19105.9983773767731.03556252950326
0.2106.2183667761241.10369071136907
0.21106.4472988350811.15933340884349
0.22106.6830662187451.20019896135356
0.23106.9232931455041.22631735863288
0.24107.1657008964161.23996411956257
0.25107.4084243928531.24520664958553
0.26107.6502254542171.24675949982494
0.27107.8905757238461.24928204547615
0.28108.1296135939841.25636749824543
0.29108.3680055156751.27026438526049
0.3108.6067566599891.29135336513839
0.31108.8470170860561.31906136789442
0.32109.0899194448561.35202321077684
0.33109.3364675373961.3888986767555
0.34109.5874773515561.42842895001675
0.35109.8435583391421.46977183195606
0.36110.1051155846731.5124201502151
0.37110.3723537839571.55560708674877
0.38110.6452701701631.59837114571754
0.39110.9236329304031.63951257344954
0.4111.2069510378951.6772701680072
0.41111.4944479949081.70913108808402
0.42111.7850540134281.73320275612367
0.43112.0774283073251.74692549740812
0.44112.3700164298521.74906638004941
0.45112.6611389585491.73877694709948
0.46112.9490997340011.71624705910348
0.47113.232296519031.68293036574945
0.48113.5093158058121.64042119355746
0.49113.7789968768961.59115355265867
0.5114.0404572552151.53745724033162
0.51114.2930805597311.48126603733403
0.52114.5364762781.42404505292808
0.53114.7704269851971.3664841306178
0.54114.9948406721781.30884866221588
0.55115.2097236939341.25101063406757
0.56115.4151840724991.19316592979642
0.57115.611466969081.13574982750543
0.58115.7990159607541.07980253453905
0.59115.9785471041191.02713358338992
0.6116.1511189159660.980010671903648
0.61116.3181808770340.941557833836717
0.62116.48158564230.914643157070641
0.63116.6435550296960.902043388130679
0.64116.8065960089970.905681526998349
0.65116.9733693211460.926338983867226
0.66117.1465192793350.962980420450465
0.67117.3284783050471.01367063868369
0.68117.5212636326931.07467304321531
0.69117.7262862384021.14143245849803
0.7117.9441931917451.20879751459803
0.71118.1747639425521.27128995549278
0.72118.4168781470671.32366674360628
0.73118.6685672754271.36119679322637
0.74118.9271545655291.3804256355071
0.75119.189478526981.3794266048093
0.76119.4521852089661.35787450047713
0.77119.7120650639521.31739585126646
0.78119.9664025579891.26130393887392
0.79120.2133014306171.19469281482698
0.8120.4519461465561.12371317092907
0.81120.6827612377531.05507256919218
0.82120.9074363918930.995670514969261
0.83121.1287990814760.951378771058276
0.84121.3505418689640.926267587820905
0.85121.5768508285740.921223644620344
0.86121.8120329751890.933820676019188
0.87122.0602942808160.959007120877046
0.88122.3258554880710.991126973252319
0.89122.6135803607591.02680188701507
0.9122.9301938480661.06783092082651
0.91123.2859500303841.12330650234582
0.92123.6962512615791.20938495083915
0.93124.1822477592351.34387395409926
0.94124.7689740466531.53479654943887
0.95125.4792809909361.76315124223864
0.96126.3218165353421.96954059858136
0.97127.2718489398122.06416323728733
0.98128.2468775567761.98673426723887
0.99129.0912271625041.80134744942663

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 102.354459957716 & 0.239504292344544 \tabularnewline
0.02 & 102.499681842487 & 0.394089128164759 \tabularnewline
0.03 & 102.702408715994 & 0.53184662504469 \tabularnewline
0.04 & 102.941972036973 & 0.628501424265835 \tabularnewline
0.05 & 103.198588181027 & 0.685231513181591 \tabularnewline
0.06 & 103.456732132827 & 0.707956876652622 \tabularnewline
0.07 & 103.70574596823 & 0.702910573112839 \tabularnewline
0.08 & 103.939425593925 & 0.679330189084893 \tabularnewline
0.09 & 104.155372892624 & 0.649559262203037 \tabularnewline
0.1 & 104.35425675996 & 0.625221583868154 \tabularnewline
0.11 & 104.53895829598 & 0.614231158646327 \tabularnewline
0.12 & 104.713665541364 & 0.620139434066906 \tabularnewline
0.13 & 104.883063055026 & 0.643410309108923 \tabularnewline
0.14 & 105.051726991542 & 0.683085449468157 \tabularnewline
0.15 & 105.223737581099 & 0.737698702201066 \tabularnewline
0.16 & 105.402445493782 & 0.804713817870334 \tabularnewline
0.17 & 105.590317327317 & 0.880297367552449 \tabularnewline
0.18 & 105.788823257331 & 0.959268697377944 \tabularnewline
0.19 & 105.998377376773 & 1.03556252950326 \tabularnewline
0.2 & 106.218366776124 & 1.10369071136907 \tabularnewline
0.21 & 106.447298835081 & 1.15933340884349 \tabularnewline
0.22 & 106.683066218745 & 1.20019896135356 \tabularnewline
0.23 & 106.923293145504 & 1.22631735863288 \tabularnewline
0.24 & 107.165700896416 & 1.23996411956257 \tabularnewline
0.25 & 107.408424392853 & 1.24520664958553 \tabularnewline
0.26 & 107.650225454217 & 1.24675949982494 \tabularnewline
0.27 & 107.890575723846 & 1.24928204547615 \tabularnewline
0.28 & 108.129613593984 & 1.25636749824543 \tabularnewline
0.29 & 108.368005515675 & 1.27026438526049 \tabularnewline
0.3 & 108.606756659989 & 1.29135336513839 \tabularnewline
0.31 & 108.847017086056 & 1.31906136789442 \tabularnewline
0.32 & 109.089919444856 & 1.35202321077684 \tabularnewline
0.33 & 109.336467537396 & 1.3888986767555 \tabularnewline
0.34 & 109.587477351556 & 1.42842895001675 \tabularnewline
0.35 & 109.843558339142 & 1.46977183195606 \tabularnewline
0.36 & 110.105115584673 & 1.5124201502151 \tabularnewline
0.37 & 110.372353783957 & 1.55560708674877 \tabularnewline
0.38 & 110.645270170163 & 1.59837114571754 \tabularnewline
0.39 & 110.923632930403 & 1.63951257344954 \tabularnewline
0.4 & 111.206951037895 & 1.6772701680072 \tabularnewline
0.41 & 111.494447994908 & 1.70913108808402 \tabularnewline
0.42 & 111.785054013428 & 1.73320275612367 \tabularnewline
0.43 & 112.077428307325 & 1.74692549740812 \tabularnewline
0.44 & 112.370016429852 & 1.74906638004941 \tabularnewline
0.45 & 112.661138958549 & 1.73877694709948 \tabularnewline
0.46 & 112.949099734001 & 1.71624705910348 \tabularnewline
0.47 & 113.23229651903 & 1.68293036574945 \tabularnewline
0.48 & 113.509315805812 & 1.64042119355746 \tabularnewline
0.49 & 113.778996876896 & 1.59115355265867 \tabularnewline
0.5 & 114.040457255215 & 1.53745724033162 \tabularnewline
0.51 & 114.293080559731 & 1.48126603733403 \tabularnewline
0.52 & 114.536476278 & 1.42404505292808 \tabularnewline
0.53 & 114.770426985197 & 1.3664841306178 \tabularnewline
0.54 & 114.994840672178 & 1.30884866221588 \tabularnewline
0.55 & 115.209723693934 & 1.25101063406757 \tabularnewline
0.56 & 115.415184072499 & 1.19316592979642 \tabularnewline
0.57 & 115.61146696908 & 1.13574982750543 \tabularnewline
0.58 & 115.799015960754 & 1.07980253453905 \tabularnewline
0.59 & 115.978547104119 & 1.02713358338992 \tabularnewline
0.6 & 116.151118915966 & 0.980010671903648 \tabularnewline
0.61 & 116.318180877034 & 0.941557833836717 \tabularnewline
0.62 & 116.4815856423 & 0.914643157070641 \tabularnewline
0.63 & 116.643555029696 & 0.902043388130679 \tabularnewline
0.64 & 116.806596008997 & 0.905681526998349 \tabularnewline
0.65 & 116.973369321146 & 0.926338983867226 \tabularnewline
0.66 & 117.146519279335 & 0.962980420450465 \tabularnewline
0.67 & 117.328478305047 & 1.01367063868369 \tabularnewline
0.68 & 117.521263632693 & 1.07467304321531 \tabularnewline
0.69 & 117.726286238402 & 1.14143245849803 \tabularnewline
0.7 & 117.944193191745 & 1.20879751459803 \tabularnewline
0.71 & 118.174763942552 & 1.27128995549278 \tabularnewline
0.72 & 118.416878147067 & 1.32366674360628 \tabularnewline
0.73 & 118.668567275427 & 1.36119679322637 \tabularnewline
0.74 & 118.927154565529 & 1.3804256355071 \tabularnewline
0.75 & 119.18947852698 & 1.3794266048093 \tabularnewline
0.76 & 119.452185208966 & 1.35787450047713 \tabularnewline
0.77 & 119.712065063952 & 1.31739585126646 \tabularnewline
0.78 & 119.966402557989 & 1.26130393887392 \tabularnewline
0.79 & 120.213301430617 & 1.19469281482698 \tabularnewline
0.8 & 120.451946146556 & 1.12371317092907 \tabularnewline
0.81 & 120.682761237753 & 1.05507256919218 \tabularnewline
0.82 & 120.907436391893 & 0.995670514969261 \tabularnewline
0.83 & 121.128799081476 & 0.951378771058276 \tabularnewline
0.84 & 121.350541868964 & 0.926267587820905 \tabularnewline
0.85 & 121.576850828574 & 0.921223644620344 \tabularnewline
0.86 & 121.812032975189 & 0.933820676019188 \tabularnewline
0.87 & 122.060294280816 & 0.959007120877046 \tabularnewline
0.88 & 122.325855488071 & 0.991126973252319 \tabularnewline
0.89 & 122.613580360759 & 1.02680188701507 \tabularnewline
0.9 & 122.930193848066 & 1.06783092082651 \tabularnewline
0.91 & 123.285950030384 & 1.12330650234582 \tabularnewline
0.92 & 123.696251261579 & 1.20938495083915 \tabularnewline
0.93 & 124.182247759235 & 1.34387395409926 \tabularnewline
0.94 & 124.768974046653 & 1.53479654943887 \tabularnewline
0.95 & 125.479280990936 & 1.76315124223864 \tabularnewline
0.96 & 126.321816535342 & 1.96954059858136 \tabularnewline
0.97 & 127.271848939812 & 2.06416323728733 \tabularnewline
0.98 & 128.246877556776 & 1.98673426723887 \tabularnewline
0.99 & 129.091227162504 & 1.80134744942663 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=133753&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]102.354459957716[/C][C]0.239504292344544[/C][/ROW]
[ROW][C]0.02[/C][C]102.499681842487[/C][C]0.394089128164759[/C][/ROW]
[ROW][C]0.03[/C][C]102.702408715994[/C][C]0.53184662504469[/C][/ROW]
[ROW][C]0.04[/C][C]102.941972036973[/C][C]0.628501424265835[/C][/ROW]
[ROW][C]0.05[/C][C]103.198588181027[/C][C]0.685231513181591[/C][/ROW]
[ROW][C]0.06[/C][C]103.456732132827[/C][C]0.707956876652622[/C][/ROW]
[ROW][C]0.07[/C][C]103.70574596823[/C][C]0.702910573112839[/C][/ROW]
[ROW][C]0.08[/C][C]103.939425593925[/C][C]0.679330189084893[/C][/ROW]
[ROW][C]0.09[/C][C]104.155372892624[/C][C]0.649559262203037[/C][/ROW]
[ROW][C]0.1[/C][C]104.35425675996[/C][C]0.625221583868154[/C][/ROW]
[ROW][C]0.11[/C][C]104.53895829598[/C][C]0.614231158646327[/C][/ROW]
[ROW][C]0.12[/C][C]104.713665541364[/C][C]0.620139434066906[/C][/ROW]
[ROW][C]0.13[/C][C]104.883063055026[/C][C]0.643410309108923[/C][/ROW]
[ROW][C]0.14[/C][C]105.051726991542[/C][C]0.683085449468157[/C][/ROW]
[ROW][C]0.15[/C][C]105.223737581099[/C][C]0.737698702201066[/C][/ROW]
[ROW][C]0.16[/C][C]105.402445493782[/C][C]0.804713817870334[/C][/ROW]
[ROW][C]0.17[/C][C]105.590317327317[/C][C]0.880297367552449[/C][/ROW]
[ROW][C]0.18[/C][C]105.788823257331[/C][C]0.959268697377944[/C][/ROW]
[ROW][C]0.19[/C][C]105.998377376773[/C][C]1.03556252950326[/C][/ROW]
[ROW][C]0.2[/C][C]106.218366776124[/C][C]1.10369071136907[/C][/ROW]
[ROW][C]0.21[/C][C]106.447298835081[/C][C]1.15933340884349[/C][/ROW]
[ROW][C]0.22[/C][C]106.683066218745[/C][C]1.20019896135356[/C][/ROW]
[ROW][C]0.23[/C][C]106.923293145504[/C][C]1.22631735863288[/C][/ROW]
[ROW][C]0.24[/C][C]107.165700896416[/C][C]1.23996411956257[/C][/ROW]
[ROW][C]0.25[/C][C]107.408424392853[/C][C]1.24520664958553[/C][/ROW]
[ROW][C]0.26[/C][C]107.650225454217[/C][C]1.24675949982494[/C][/ROW]
[ROW][C]0.27[/C][C]107.890575723846[/C][C]1.24928204547615[/C][/ROW]
[ROW][C]0.28[/C][C]108.129613593984[/C][C]1.25636749824543[/C][/ROW]
[ROW][C]0.29[/C][C]108.368005515675[/C][C]1.27026438526049[/C][/ROW]
[ROW][C]0.3[/C][C]108.606756659989[/C][C]1.29135336513839[/C][/ROW]
[ROW][C]0.31[/C][C]108.847017086056[/C][C]1.31906136789442[/C][/ROW]
[ROW][C]0.32[/C][C]109.089919444856[/C][C]1.35202321077684[/C][/ROW]
[ROW][C]0.33[/C][C]109.336467537396[/C][C]1.3888986767555[/C][/ROW]
[ROW][C]0.34[/C][C]109.587477351556[/C][C]1.42842895001675[/C][/ROW]
[ROW][C]0.35[/C][C]109.843558339142[/C][C]1.46977183195606[/C][/ROW]
[ROW][C]0.36[/C][C]110.105115584673[/C][C]1.5124201502151[/C][/ROW]
[ROW][C]0.37[/C][C]110.372353783957[/C][C]1.55560708674877[/C][/ROW]
[ROW][C]0.38[/C][C]110.645270170163[/C][C]1.59837114571754[/C][/ROW]
[ROW][C]0.39[/C][C]110.923632930403[/C][C]1.63951257344954[/C][/ROW]
[ROW][C]0.4[/C][C]111.206951037895[/C][C]1.6772701680072[/C][/ROW]
[ROW][C]0.41[/C][C]111.494447994908[/C][C]1.70913108808402[/C][/ROW]
[ROW][C]0.42[/C][C]111.785054013428[/C][C]1.73320275612367[/C][/ROW]
[ROW][C]0.43[/C][C]112.077428307325[/C][C]1.74692549740812[/C][/ROW]
[ROW][C]0.44[/C][C]112.370016429852[/C][C]1.74906638004941[/C][/ROW]
[ROW][C]0.45[/C][C]112.661138958549[/C][C]1.73877694709948[/C][/ROW]
[ROW][C]0.46[/C][C]112.949099734001[/C][C]1.71624705910348[/C][/ROW]
[ROW][C]0.47[/C][C]113.23229651903[/C][C]1.68293036574945[/C][/ROW]
[ROW][C]0.48[/C][C]113.509315805812[/C][C]1.64042119355746[/C][/ROW]
[ROW][C]0.49[/C][C]113.778996876896[/C][C]1.59115355265867[/C][/ROW]
[ROW][C]0.5[/C][C]114.040457255215[/C][C]1.53745724033162[/C][/ROW]
[ROW][C]0.51[/C][C]114.293080559731[/C][C]1.48126603733403[/C][/ROW]
[ROW][C]0.52[/C][C]114.536476278[/C][C]1.42404505292808[/C][/ROW]
[ROW][C]0.53[/C][C]114.770426985197[/C][C]1.3664841306178[/C][/ROW]
[ROW][C]0.54[/C][C]114.994840672178[/C][C]1.30884866221588[/C][/ROW]
[ROW][C]0.55[/C][C]115.209723693934[/C][C]1.25101063406757[/C][/ROW]
[ROW][C]0.56[/C][C]115.415184072499[/C][C]1.19316592979642[/C][/ROW]
[ROW][C]0.57[/C][C]115.61146696908[/C][C]1.13574982750543[/C][/ROW]
[ROW][C]0.58[/C][C]115.799015960754[/C][C]1.07980253453905[/C][/ROW]
[ROW][C]0.59[/C][C]115.978547104119[/C][C]1.02713358338992[/C][/ROW]
[ROW][C]0.6[/C][C]116.151118915966[/C][C]0.980010671903648[/C][/ROW]
[ROW][C]0.61[/C][C]116.318180877034[/C][C]0.941557833836717[/C][/ROW]
[ROW][C]0.62[/C][C]116.4815856423[/C][C]0.914643157070641[/C][/ROW]
[ROW][C]0.63[/C][C]116.643555029696[/C][C]0.902043388130679[/C][/ROW]
[ROW][C]0.64[/C][C]116.806596008997[/C][C]0.905681526998349[/C][/ROW]
[ROW][C]0.65[/C][C]116.973369321146[/C][C]0.926338983867226[/C][/ROW]
[ROW][C]0.66[/C][C]117.146519279335[/C][C]0.962980420450465[/C][/ROW]
[ROW][C]0.67[/C][C]117.328478305047[/C][C]1.01367063868369[/C][/ROW]
[ROW][C]0.68[/C][C]117.521263632693[/C][C]1.07467304321531[/C][/ROW]
[ROW][C]0.69[/C][C]117.726286238402[/C][C]1.14143245849803[/C][/ROW]
[ROW][C]0.7[/C][C]117.944193191745[/C][C]1.20879751459803[/C][/ROW]
[ROW][C]0.71[/C][C]118.174763942552[/C][C]1.27128995549278[/C][/ROW]
[ROW][C]0.72[/C][C]118.416878147067[/C][C]1.32366674360628[/C][/ROW]
[ROW][C]0.73[/C][C]118.668567275427[/C][C]1.36119679322637[/C][/ROW]
[ROW][C]0.74[/C][C]118.927154565529[/C][C]1.3804256355071[/C][/ROW]
[ROW][C]0.75[/C][C]119.18947852698[/C][C]1.3794266048093[/C][/ROW]
[ROW][C]0.76[/C][C]119.452185208966[/C][C]1.35787450047713[/C][/ROW]
[ROW][C]0.77[/C][C]119.712065063952[/C][C]1.31739585126646[/C][/ROW]
[ROW][C]0.78[/C][C]119.966402557989[/C][C]1.26130393887392[/C][/ROW]
[ROW][C]0.79[/C][C]120.213301430617[/C][C]1.19469281482698[/C][/ROW]
[ROW][C]0.8[/C][C]120.451946146556[/C][C]1.12371317092907[/C][/ROW]
[ROW][C]0.81[/C][C]120.682761237753[/C][C]1.05507256919218[/C][/ROW]
[ROW][C]0.82[/C][C]120.907436391893[/C][C]0.995670514969261[/C][/ROW]
[ROW][C]0.83[/C][C]121.128799081476[/C][C]0.951378771058276[/C][/ROW]
[ROW][C]0.84[/C][C]121.350541868964[/C][C]0.926267587820905[/C][/ROW]
[ROW][C]0.85[/C][C]121.576850828574[/C][C]0.921223644620344[/C][/ROW]
[ROW][C]0.86[/C][C]121.812032975189[/C][C]0.933820676019188[/C][/ROW]
[ROW][C]0.87[/C][C]122.060294280816[/C][C]0.959007120877046[/C][/ROW]
[ROW][C]0.88[/C][C]122.325855488071[/C][C]0.991126973252319[/C][/ROW]
[ROW][C]0.89[/C][C]122.613580360759[/C][C]1.02680188701507[/C][/ROW]
[ROW][C]0.9[/C][C]122.930193848066[/C][C]1.06783092082651[/C][/ROW]
[ROW][C]0.91[/C][C]123.285950030384[/C][C]1.12330650234582[/C][/ROW]
[ROW][C]0.92[/C][C]123.696251261579[/C][C]1.20938495083915[/C][/ROW]
[ROW][C]0.93[/C][C]124.182247759235[/C][C]1.34387395409926[/C][/ROW]
[ROW][C]0.94[/C][C]124.768974046653[/C][C]1.53479654943887[/C][/ROW]
[ROW][C]0.95[/C][C]125.479280990936[/C][C]1.76315124223864[/C][/ROW]
[ROW][C]0.96[/C][C]126.321816535342[/C][C]1.96954059858136[/C][/ROW]
[ROW][C]0.97[/C][C]127.271848939812[/C][C]2.06416323728733[/C][/ROW]
[ROW][C]0.98[/C][C]128.246877556776[/C][C]1.98673426723887[/C][/ROW]
[ROW][C]0.99[/C][C]129.091227162504[/C][C]1.80134744942663[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=133753&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=133753&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
0.01102.3544599577160.239504292344544
0.02102.4996818424870.394089128164759
0.03102.7024087159940.53184662504469
0.04102.9419720369730.628501424265835
0.05103.1985881810270.685231513181591
0.06103.4567321328270.707956876652622
0.07103.705745968230.702910573112839
0.08103.9394255939250.679330189084893
0.09104.1553728926240.649559262203037
0.1104.354256759960.625221583868154
0.11104.538958295980.614231158646327
0.12104.7136655413640.620139434066906
0.13104.8830630550260.643410309108923
0.14105.0517269915420.683085449468157
0.15105.2237375810990.737698702201066
0.16105.4024454937820.804713817870334
0.17105.5903173273170.880297367552449
0.18105.7888232573310.959268697377944
0.19105.9983773767731.03556252950326
0.2106.2183667761241.10369071136907
0.21106.4472988350811.15933340884349
0.22106.6830662187451.20019896135356
0.23106.9232931455041.22631735863288
0.24107.1657008964161.23996411956257
0.25107.4084243928531.24520664958553
0.26107.6502254542171.24675949982494
0.27107.8905757238461.24928204547615
0.28108.1296135939841.25636749824543
0.29108.3680055156751.27026438526049
0.3108.6067566599891.29135336513839
0.31108.8470170860561.31906136789442
0.32109.0899194448561.35202321077684
0.33109.3364675373961.3888986767555
0.34109.5874773515561.42842895001675
0.35109.8435583391421.46977183195606
0.36110.1051155846731.5124201502151
0.37110.3723537839571.55560708674877
0.38110.6452701701631.59837114571754
0.39110.9236329304031.63951257344954
0.4111.2069510378951.6772701680072
0.41111.4944479949081.70913108808402
0.42111.7850540134281.73320275612367
0.43112.0774283073251.74692549740812
0.44112.3700164298521.74906638004941
0.45112.6611389585491.73877694709948
0.46112.9490997340011.71624705910348
0.47113.232296519031.68293036574945
0.48113.5093158058121.64042119355746
0.49113.7789968768961.59115355265867
0.5114.0404572552151.53745724033162
0.51114.2930805597311.48126603733403
0.52114.5364762781.42404505292808
0.53114.7704269851971.3664841306178
0.54114.9948406721781.30884866221588
0.55115.2097236939341.25101063406757
0.56115.4151840724991.19316592979642
0.57115.611466969081.13574982750543
0.58115.7990159607541.07980253453905
0.59115.9785471041191.02713358338992
0.6116.1511189159660.980010671903648
0.61116.3181808770340.941557833836717
0.62116.48158564230.914643157070641
0.63116.6435550296960.902043388130679
0.64116.8065960089970.905681526998349
0.65116.9733693211460.926338983867226
0.66117.1465192793350.962980420450465
0.67117.3284783050471.01367063868369
0.68117.5212636326931.07467304321531
0.69117.7262862384021.14143245849803
0.7117.9441931917451.20879751459803
0.71118.1747639425521.27128995549278
0.72118.4168781470671.32366674360628
0.73118.6685672754271.36119679322637
0.74118.9271545655291.3804256355071
0.75119.189478526981.3794266048093
0.76119.4521852089661.35787450047713
0.77119.7120650639521.31739585126646
0.78119.9664025579891.26130393887392
0.79120.2133014306171.19469281482698
0.8120.4519461465561.12371317092907
0.81120.6827612377531.05507256919218
0.82120.9074363918930.995670514969261
0.83121.1287990814760.951378771058276
0.84121.3505418689640.926267587820905
0.85121.5768508285740.921223644620344
0.86121.8120329751890.933820676019188
0.87122.0602942808160.959007120877046
0.88122.3258554880710.991126973252319
0.89122.6135803607591.02680188701507
0.9122.9301938480661.06783092082651
0.91123.2859500303841.12330650234582
0.92123.6962512615791.20938495083915
0.93124.1822477592351.34387395409926
0.94124.7689740466531.53479654943887
0.95125.4792809909361.76315124223864
0.96126.3218165353421.96954059858136
0.97127.2718489398122.06416323728733
0.98128.2468775567761.98673426723887
0.99129.0912271625041.80134744942663


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')