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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 computationWed, 11 Feb 2015 15:23:21 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Feb/11/t1423668259a7qattbntgwbrec.htm/, Retrieved Sat, 18 May 2024 23:23:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277003, Retrieved Sat, 18 May 2024 23:23:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact116

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] [omzetontwikkeling...] [2015-02-11 15:23:21] [48109ce6b54c2eacc50b3a62a110bb1c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
93.6
103.5
127
117.5
111.5
137.6
103.2
86.9
124.4
113.6
101.6
148.5
108.3
117.2
128.7
116.5
131.7
139.9
107.4
96.1
126.5
116.4
109.8
148
111.4
117
141.7
120
132.1
146.7
122.5
99.6
122.7
139
117.8
125.5
134.5
121.3
126.7
117.7
123
132.1
113.1
89.2
121.7
105.3
85.3
105.3
72.2
92.1
97.2
78.6
78.1
93
81
65.9
88.6
85.7
76.3
96.8
76.8
85.6
119.2
91.4
95.7
112.3
95.2
82.8
111.3
108.2
97
124.4
99.3
117.6
131.5
114.2
116.8
116.5
105.4
89.2
115.8
111.4
106.4
128.4
107.7
111
129.8
130.5
142.9
159.9
84.1
75
100.7
106.8
97.4
113
76.9
87.3
103.7
92.1
92.9
112.2
88.7
74.6
101.5
119.7
120.7
153.5

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277003&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277003&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277003&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0168.87341996811634.4728208051602
0.0272.20005402386572.69300894811847
0.0374.34177489102931.82045326139781
0.0475.6598039586291.61920369950557
0.0576.67508390972221.79967962219795
0.0677.65995095263392.19505190071599
0.0778.72436575161742.65134373108013
0.0879.88641346819983.01667743009552
0.0981.10743417241773.1951159018757
0.182.32403482808443.1745993636361
0.1183.47827001435163.0133745984729
0.1284.53639517645582.79872776549667
0.1385.49243191214332.60650480302265
0.1486.36072566877152.47822208694302
0.1587.16476711564992.41995780648235
0.1687.92791955531852.41711655804638
0.1788.66829682962862.44803903860797
0.1889.39737486237042.49394387471637
0.1990.12085270157482.54010064710734
0.290.84039312382232.57852118567577
0.2191.55540498586062.60627613451557
0.2292.26448995244152.62435617825538
0.2392.96644745680352.6364875080767
0.2493.66087186019422.64691621957799
0.2594.34843797989522.66002939398972
0.2695.03096658323532.68083864240604
0.2795.71130648652792.71392067481994
0.2896.39301426593442.76242187994312
0.2997.07981162235942.82630794189182
0.397.77486882007892.90148330435644
0.3198.4800597635892.98007480993137
0.3299.19539412345853.05163713764285
0.3399.91880958510453.10621910678145
0.34100.64640652933.13631089384391
0.35101.373073551993.13880864526824
0.36102.0933416738813.1141132417821
0.37102.8022553946343.0672328668267
0.38103.4960656652813.00561577568458
0.39104.1726139837832.93723856053405
0.4104.831359955862.86954932978502
0.41105.4730838687292.80828913016785
0.42106.0993585903572.75518704185205
0.43106.7119264037082.71009244352104
0.44107.3121330206482.6688987122933
0.45107.9005587386442.62684817354153
0.46108.4769422576222.57926867068118
0.47109.0404191096342.52325702919472
0.48109.5900076636962.45939586057798
0.49110.1251951204022.3913770968919
0.5110.6464312421042.32615964857557
0.51111.1553492389542.270742081373
0.52111.6546049784452.23076022958429
0.53112.1473403648462.20795236780364
0.54112.6364003042922.19917631858057
0.55113.1235251356732.19629131013251
0.56113.6087695766042.1892146310016
0.57114.090352087632.16775735288973
0.58114.5650261323092.12532061020037
0.59115.0289190458372.06049155460614
0.6115.4786480049481.97792851234727
0.61115.9124363733631.88811805238641
0.62116.3309431038141.8044050252628
0.63116.7375862245291.7417654862145
0.64117.138269367171.71204104974798
0.65117.5405721764451.72105214138207
0.66117.9525999746041.76785910781108
0.67118.3817695182731.84491244186727
0.68118.8338149316631.94054898787121
0.69119.3122294620642.04220946495281
0.7119.8182335195562.13959284095189
0.71120.3512130247272.22595580337304
0.72120.9094479107082.29849397322405
0.73121.4908877259312.35831728035214
0.74122.0937502360612.40832156104888
0.75122.7168113544362.45171931454058
0.76123.3593823513262.49042655617494
0.77124.0210780057182.52464322937542
0.78124.7015215566912.55321788186827
0.79125.4001026617912.57456402201224
0.8126.1158509964322.5871183654858
0.81126.8474925547032.58968321610328
0.82127.5938706281452.58209431382006
0.83128.3550773615542.56695967896808
0.84129.1346363177532.55422523526878
0.85129.942613285342.56570811573458
0.86130.7985215982622.63508258691343
0.87131.7317893172642.79640262634643
0.88132.7774761776543.0594388046119
0.89133.9670084635613.3877957027939
0.9135.3177010030913.70596753757763
0.91136.827900302043.93582781231237
0.92138.482253919754.04391946810395
0.93140.262758446464.05383656228282
0.94142.1547734878863.99730630761957
0.95144.1509194192013.85114652351237
0.96146.2926472008783.61706042650725
0.97148.7939697680863.58521501363774
0.98152.1262263340214.22102066807273
0.99156.4544884353745.36023147265353

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 68.8734199681163 & 4.4728208051602 \tabularnewline
0.02 & 72.2000540238657 & 2.69300894811847 \tabularnewline
0.03 & 74.3417748910293 & 1.82045326139781 \tabularnewline
0.04 & 75.659803958629 & 1.61920369950557 \tabularnewline
0.05 & 76.6750839097222 & 1.79967962219795 \tabularnewline
0.06 & 77.6599509526339 & 2.19505190071599 \tabularnewline
0.07 & 78.7243657516174 & 2.65134373108013 \tabularnewline
0.08 & 79.8864134681998 & 3.01667743009552 \tabularnewline
0.09 & 81.1074341724177 & 3.1951159018757 \tabularnewline
0.1 & 82.3240348280844 & 3.1745993636361 \tabularnewline
0.11 & 83.4782700143516 & 3.0133745984729 \tabularnewline
0.12 & 84.5363951764558 & 2.79872776549667 \tabularnewline
0.13 & 85.4924319121433 & 2.60650480302265 \tabularnewline
0.14 & 86.3607256687715 & 2.47822208694302 \tabularnewline
0.15 & 87.1647671156499 & 2.41995780648235 \tabularnewline
0.16 & 87.9279195553185 & 2.41711655804638 \tabularnewline
0.17 & 88.6682968296286 & 2.44803903860797 \tabularnewline
0.18 & 89.3973748623704 & 2.49394387471637 \tabularnewline
0.19 & 90.1208527015748 & 2.54010064710734 \tabularnewline
0.2 & 90.8403931238223 & 2.57852118567577 \tabularnewline
0.21 & 91.5554049858606 & 2.60627613451557 \tabularnewline
0.22 & 92.2644899524415 & 2.62435617825538 \tabularnewline
0.23 & 92.9664474568035 & 2.6364875080767 \tabularnewline
0.24 & 93.6608718601942 & 2.64691621957799 \tabularnewline
0.25 & 94.3484379798952 & 2.66002939398972 \tabularnewline
0.26 & 95.0309665832353 & 2.68083864240604 \tabularnewline
0.27 & 95.7113064865279 & 2.71392067481994 \tabularnewline
0.28 & 96.3930142659344 & 2.76242187994312 \tabularnewline
0.29 & 97.0798116223594 & 2.82630794189182 \tabularnewline
0.3 & 97.7748688200789 & 2.90148330435644 \tabularnewline
0.31 & 98.480059763589 & 2.98007480993137 \tabularnewline
0.32 & 99.1953941234585 & 3.05163713764285 \tabularnewline
0.33 & 99.9188095851045 & 3.10621910678145 \tabularnewline
0.34 & 100.6464065293 & 3.13631089384391 \tabularnewline
0.35 & 101.37307355199 & 3.13880864526824 \tabularnewline
0.36 & 102.093341673881 & 3.1141132417821 \tabularnewline
0.37 & 102.802255394634 & 3.0672328668267 \tabularnewline
0.38 & 103.496065665281 & 3.00561577568458 \tabularnewline
0.39 & 104.172613983783 & 2.93723856053405 \tabularnewline
0.4 & 104.83135995586 & 2.86954932978502 \tabularnewline
0.41 & 105.473083868729 & 2.80828913016785 \tabularnewline
0.42 & 106.099358590357 & 2.75518704185205 \tabularnewline
0.43 & 106.711926403708 & 2.71009244352104 \tabularnewline
0.44 & 107.312133020648 & 2.6688987122933 \tabularnewline
0.45 & 107.900558738644 & 2.62684817354153 \tabularnewline
0.46 & 108.476942257622 & 2.57926867068118 \tabularnewline
0.47 & 109.040419109634 & 2.52325702919472 \tabularnewline
0.48 & 109.590007663696 & 2.45939586057798 \tabularnewline
0.49 & 110.125195120402 & 2.3913770968919 \tabularnewline
0.5 & 110.646431242104 & 2.32615964857557 \tabularnewline
0.51 & 111.155349238954 & 2.270742081373 \tabularnewline
0.52 & 111.654604978445 & 2.23076022958429 \tabularnewline
0.53 & 112.147340364846 & 2.20795236780364 \tabularnewline
0.54 & 112.636400304292 & 2.19917631858057 \tabularnewline
0.55 & 113.123525135673 & 2.19629131013251 \tabularnewline
0.56 & 113.608769576604 & 2.1892146310016 \tabularnewline
0.57 & 114.09035208763 & 2.16775735288973 \tabularnewline
0.58 & 114.565026132309 & 2.12532061020037 \tabularnewline
0.59 & 115.028919045837 & 2.06049155460614 \tabularnewline
0.6 & 115.478648004948 & 1.97792851234727 \tabularnewline
0.61 & 115.912436373363 & 1.88811805238641 \tabularnewline
0.62 & 116.330943103814 & 1.8044050252628 \tabularnewline
0.63 & 116.737586224529 & 1.7417654862145 \tabularnewline
0.64 & 117.13826936717 & 1.71204104974798 \tabularnewline
0.65 & 117.540572176445 & 1.72105214138207 \tabularnewline
0.66 & 117.952599974604 & 1.76785910781108 \tabularnewline
0.67 & 118.381769518273 & 1.84491244186727 \tabularnewline
0.68 & 118.833814931663 & 1.94054898787121 \tabularnewline
0.69 & 119.312229462064 & 2.04220946495281 \tabularnewline
0.7 & 119.818233519556 & 2.13959284095189 \tabularnewline
0.71 & 120.351213024727 & 2.22595580337304 \tabularnewline
0.72 & 120.909447910708 & 2.29849397322405 \tabularnewline
0.73 & 121.490887725931 & 2.35831728035214 \tabularnewline
0.74 & 122.093750236061 & 2.40832156104888 \tabularnewline
0.75 & 122.716811354436 & 2.45171931454058 \tabularnewline
0.76 & 123.359382351326 & 2.49042655617494 \tabularnewline
0.77 & 124.021078005718 & 2.52464322937542 \tabularnewline
0.78 & 124.701521556691 & 2.55321788186827 \tabularnewline
0.79 & 125.400102661791 & 2.57456402201224 \tabularnewline
0.8 & 126.115850996432 & 2.5871183654858 \tabularnewline
0.81 & 126.847492554703 & 2.58968321610328 \tabularnewline
0.82 & 127.593870628145 & 2.58209431382006 \tabularnewline
0.83 & 128.355077361554 & 2.56695967896808 \tabularnewline
0.84 & 129.134636317753 & 2.55422523526878 \tabularnewline
0.85 & 129.94261328534 & 2.56570811573458 \tabularnewline
0.86 & 130.798521598262 & 2.63508258691343 \tabularnewline
0.87 & 131.731789317264 & 2.79640262634643 \tabularnewline
0.88 & 132.777476177654 & 3.0594388046119 \tabularnewline
0.89 & 133.967008463561 & 3.3877957027939 \tabularnewline
0.9 & 135.317701003091 & 3.70596753757763 \tabularnewline
0.91 & 136.82790030204 & 3.93582781231237 \tabularnewline
0.92 & 138.48225391975 & 4.04391946810395 \tabularnewline
0.93 & 140.26275844646 & 4.05383656228282 \tabularnewline
0.94 & 142.154773487886 & 3.99730630761957 \tabularnewline
0.95 & 144.150919419201 & 3.85114652351237 \tabularnewline
0.96 & 146.292647200878 & 3.61706042650725 \tabularnewline
0.97 & 148.793969768086 & 3.58521501363774 \tabularnewline
0.98 & 152.126226334021 & 4.22102066807273 \tabularnewline
0.99 & 156.454488435374 & 5.36023147265353 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277003&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]68.8734199681163[/C][C]4.4728208051602[/C][/ROW]
[ROW][C]0.02[/C][C]72.2000540238657[/C][C]2.69300894811847[/C][/ROW]
[ROW][C]0.03[/C][C]74.3417748910293[/C][C]1.82045326139781[/C][/ROW]
[ROW][C]0.04[/C][C]75.659803958629[/C][C]1.61920369950557[/C][/ROW]
[ROW][C]0.05[/C][C]76.6750839097222[/C][C]1.79967962219795[/C][/ROW]
[ROW][C]0.06[/C][C]77.6599509526339[/C][C]2.19505190071599[/C][/ROW]
[ROW][C]0.07[/C][C]78.7243657516174[/C][C]2.65134373108013[/C][/ROW]
[ROW][C]0.08[/C][C]79.8864134681998[/C][C]3.01667743009552[/C][/ROW]
[ROW][C]0.09[/C][C]81.1074341724177[/C][C]3.1951159018757[/C][/ROW]
[ROW][C]0.1[/C][C]82.3240348280844[/C][C]3.1745993636361[/C][/ROW]
[ROW][C]0.11[/C][C]83.4782700143516[/C][C]3.0133745984729[/C][/ROW]
[ROW][C]0.12[/C][C]84.5363951764558[/C][C]2.79872776549667[/C][/ROW]
[ROW][C]0.13[/C][C]85.4924319121433[/C][C]2.60650480302265[/C][/ROW]
[ROW][C]0.14[/C][C]86.3607256687715[/C][C]2.47822208694302[/C][/ROW]
[ROW][C]0.15[/C][C]87.1647671156499[/C][C]2.41995780648235[/C][/ROW]
[ROW][C]0.16[/C][C]87.9279195553185[/C][C]2.41711655804638[/C][/ROW]
[ROW][C]0.17[/C][C]88.6682968296286[/C][C]2.44803903860797[/C][/ROW]
[ROW][C]0.18[/C][C]89.3973748623704[/C][C]2.49394387471637[/C][/ROW]
[ROW][C]0.19[/C][C]90.1208527015748[/C][C]2.54010064710734[/C][/ROW]
[ROW][C]0.2[/C][C]90.8403931238223[/C][C]2.57852118567577[/C][/ROW]
[ROW][C]0.21[/C][C]91.5554049858606[/C][C]2.60627613451557[/C][/ROW]
[ROW][C]0.22[/C][C]92.2644899524415[/C][C]2.62435617825538[/C][/ROW]
[ROW][C]0.23[/C][C]92.9664474568035[/C][C]2.6364875080767[/C][/ROW]
[ROW][C]0.24[/C][C]93.6608718601942[/C][C]2.64691621957799[/C][/ROW]
[ROW][C]0.25[/C][C]94.3484379798952[/C][C]2.66002939398972[/C][/ROW]
[ROW][C]0.26[/C][C]95.0309665832353[/C][C]2.68083864240604[/C][/ROW]
[ROW][C]0.27[/C][C]95.7113064865279[/C][C]2.71392067481994[/C][/ROW]
[ROW][C]0.28[/C][C]96.3930142659344[/C][C]2.76242187994312[/C][/ROW]
[ROW][C]0.29[/C][C]97.0798116223594[/C][C]2.82630794189182[/C][/ROW]
[ROW][C]0.3[/C][C]97.7748688200789[/C][C]2.90148330435644[/C][/ROW]
[ROW][C]0.31[/C][C]98.480059763589[/C][C]2.98007480993137[/C][/ROW]
[ROW][C]0.32[/C][C]99.1953941234585[/C][C]3.05163713764285[/C][/ROW]
[ROW][C]0.33[/C][C]99.9188095851045[/C][C]3.10621910678145[/C][/ROW]
[ROW][C]0.34[/C][C]100.6464065293[/C][C]3.13631089384391[/C][/ROW]
[ROW][C]0.35[/C][C]101.37307355199[/C][C]3.13880864526824[/C][/ROW]
[ROW][C]0.36[/C][C]102.093341673881[/C][C]3.1141132417821[/C][/ROW]
[ROW][C]0.37[/C][C]102.802255394634[/C][C]3.0672328668267[/C][/ROW]
[ROW][C]0.38[/C][C]103.496065665281[/C][C]3.00561577568458[/C][/ROW]
[ROW][C]0.39[/C][C]104.172613983783[/C][C]2.93723856053405[/C][/ROW]
[ROW][C]0.4[/C][C]104.83135995586[/C][C]2.86954932978502[/C][/ROW]
[ROW][C]0.41[/C][C]105.473083868729[/C][C]2.80828913016785[/C][/ROW]
[ROW][C]0.42[/C][C]106.099358590357[/C][C]2.75518704185205[/C][/ROW]
[ROW][C]0.43[/C][C]106.711926403708[/C][C]2.71009244352104[/C][/ROW]
[ROW][C]0.44[/C][C]107.312133020648[/C][C]2.6688987122933[/C][/ROW]
[ROW][C]0.45[/C][C]107.900558738644[/C][C]2.62684817354153[/C][/ROW]
[ROW][C]0.46[/C][C]108.476942257622[/C][C]2.57926867068118[/C][/ROW]
[ROW][C]0.47[/C][C]109.040419109634[/C][C]2.52325702919472[/C][/ROW]
[ROW][C]0.48[/C][C]109.590007663696[/C][C]2.45939586057798[/C][/ROW]
[ROW][C]0.49[/C][C]110.125195120402[/C][C]2.3913770968919[/C][/ROW]
[ROW][C]0.5[/C][C]110.646431242104[/C][C]2.32615964857557[/C][/ROW]
[ROW][C]0.51[/C][C]111.155349238954[/C][C]2.270742081373[/C][/ROW]
[ROW][C]0.52[/C][C]111.654604978445[/C][C]2.23076022958429[/C][/ROW]
[ROW][C]0.53[/C][C]112.147340364846[/C][C]2.20795236780364[/C][/ROW]
[ROW][C]0.54[/C][C]112.636400304292[/C][C]2.19917631858057[/C][/ROW]
[ROW][C]0.55[/C][C]113.123525135673[/C][C]2.19629131013251[/C][/ROW]
[ROW][C]0.56[/C][C]113.608769576604[/C][C]2.1892146310016[/C][/ROW]
[ROW][C]0.57[/C][C]114.09035208763[/C][C]2.16775735288973[/C][/ROW]
[ROW][C]0.58[/C][C]114.565026132309[/C][C]2.12532061020037[/C][/ROW]
[ROW][C]0.59[/C][C]115.028919045837[/C][C]2.06049155460614[/C][/ROW]
[ROW][C]0.6[/C][C]115.478648004948[/C][C]1.97792851234727[/C][/ROW]
[ROW][C]0.61[/C][C]115.912436373363[/C][C]1.88811805238641[/C][/ROW]
[ROW][C]0.62[/C][C]116.330943103814[/C][C]1.8044050252628[/C][/ROW]
[ROW][C]0.63[/C][C]116.737586224529[/C][C]1.7417654862145[/C][/ROW]
[ROW][C]0.64[/C][C]117.13826936717[/C][C]1.71204104974798[/C][/ROW]
[ROW][C]0.65[/C][C]117.540572176445[/C][C]1.72105214138207[/C][/ROW]
[ROW][C]0.66[/C][C]117.952599974604[/C][C]1.76785910781108[/C][/ROW]
[ROW][C]0.67[/C][C]118.381769518273[/C][C]1.84491244186727[/C][/ROW]
[ROW][C]0.68[/C][C]118.833814931663[/C][C]1.94054898787121[/C][/ROW]
[ROW][C]0.69[/C][C]119.312229462064[/C][C]2.04220946495281[/C][/ROW]
[ROW][C]0.7[/C][C]119.818233519556[/C][C]2.13959284095189[/C][/ROW]
[ROW][C]0.71[/C][C]120.351213024727[/C][C]2.22595580337304[/C][/ROW]
[ROW][C]0.72[/C][C]120.909447910708[/C][C]2.29849397322405[/C][/ROW]
[ROW][C]0.73[/C][C]121.490887725931[/C][C]2.35831728035214[/C][/ROW]
[ROW][C]0.74[/C][C]122.093750236061[/C][C]2.40832156104888[/C][/ROW]
[ROW][C]0.75[/C][C]122.716811354436[/C][C]2.45171931454058[/C][/ROW]
[ROW][C]0.76[/C][C]123.359382351326[/C][C]2.49042655617494[/C][/ROW]
[ROW][C]0.77[/C][C]124.021078005718[/C][C]2.52464322937542[/C][/ROW]
[ROW][C]0.78[/C][C]124.701521556691[/C][C]2.55321788186827[/C][/ROW]
[ROW][C]0.79[/C][C]125.400102661791[/C][C]2.57456402201224[/C][/ROW]
[ROW][C]0.8[/C][C]126.115850996432[/C][C]2.5871183654858[/C][/ROW]
[ROW][C]0.81[/C][C]126.847492554703[/C][C]2.58968321610328[/C][/ROW]
[ROW][C]0.82[/C][C]127.593870628145[/C][C]2.58209431382006[/C][/ROW]
[ROW][C]0.83[/C][C]128.355077361554[/C][C]2.56695967896808[/C][/ROW]
[ROW][C]0.84[/C][C]129.134636317753[/C][C]2.55422523526878[/C][/ROW]
[ROW][C]0.85[/C][C]129.94261328534[/C][C]2.56570811573458[/C][/ROW]
[ROW][C]0.86[/C][C]130.798521598262[/C][C]2.63508258691343[/C][/ROW]
[ROW][C]0.87[/C][C]131.731789317264[/C][C]2.79640262634643[/C][/ROW]
[ROW][C]0.88[/C][C]132.777476177654[/C][C]3.0594388046119[/C][/ROW]
[ROW][C]0.89[/C][C]133.967008463561[/C][C]3.3877957027939[/C][/ROW]
[ROW][C]0.9[/C][C]135.317701003091[/C][C]3.70596753757763[/C][/ROW]
[ROW][C]0.91[/C][C]136.82790030204[/C][C]3.93582781231237[/C][/ROW]
[ROW][C]0.92[/C][C]138.48225391975[/C][C]4.04391946810395[/C][/ROW]
[ROW][C]0.93[/C][C]140.26275844646[/C][C]4.05383656228282[/C][/ROW]
[ROW][C]0.94[/C][C]142.154773487886[/C][C]3.99730630761957[/C][/ROW]
[ROW][C]0.95[/C][C]144.150919419201[/C][C]3.85114652351237[/C][/ROW]
[ROW][C]0.96[/C][C]146.292647200878[/C][C]3.61706042650725[/C][/ROW]
[ROW][C]0.97[/C][C]148.793969768086[/C][C]3.58521501363774[/C][/ROW]
[ROW][C]0.98[/C][C]152.126226334021[/C][C]4.22102066807273[/C][/ROW]
[ROW][C]0.99[/C][C]156.454488435374[/C][C]5.36023147265353[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277003&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277003&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
0.0168.87341996811634.4728208051602
0.0272.20005402386572.69300894811847
0.0374.34177489102931.82045326139781
0.0475.6598039586291.61920369950557
0.0576.67508390972221.79967962219795
0.0677.65995095263392.19505190071599
0.0778.72436575161742.65134373108013
0.0879.88641346819983.01667743009552
0.0981.10743417241773.1951159018757
0.182.32403482808443.1745993636361
0.1183.47827001435163.0133745984729
0.1284.53639517645582.79872776549667
0.1385.49243191214332.60650480302265
0.1486.36072566877152.47822208694302
0.1587.16476711564992.41995780648235
0.1687.92791955531852.41711655804638
0.1788.66829682962862.44803903860797
0.1889.39737486237042.49394387471637
0.1990.12085270157482.54010064710734
0.290.84039312382232.57852118567577
0.2191.55540498586062.60627613451557
0.2292.26448995244152.62435617825538
0.2392.96644745680352.6364875080767
0.2493.66087186019422.64691621957799
0.2594.34843797989522.66002939398972
0.2695.03096658323532.68083864240604
0.2795.71130648652792.71392067481994
0.2896.39301426593442.76242187994312
0.2997.07981162235942.82630794189182
0.397.77486882007892.90148330435644
0.3198.4800597635892.98007480993137
0.3299.19539412345853.05163713764285
0.3399.91880958510453.10621910678145
0.34100.64640652933.13631089384391
0.35101.373073551993.13880864526824
0.36102.0933416738813.1141132417821
0.37102.8022553946343.0672328668267
0.38103.4960656652813.00561577568458
0.39104.1726139837832.93723856053405
0.4104.831359955862.86954932978502
0.41105.4730838687292.80828913016785
0.42106.0993585903572.75518704185205
0.43106.7119264037082.71009244352104
0.44107.3121330206482.6688987122933
0.45107.9005587386442.62684817354153
0.46108.4769422576222.57926867068118
0.47109.0404191096342.52325702919472
0.48109.5900076636962.45939586057798
0.49110.1251951204022.3913770968919
0.5110.6464312421042.32615964857557
0.51111.1553492389542.270742081373
0.52111.6546049784452.23076022958429
0.53112.1473403648462.20795236780364
0.54112.6364003042922.19917631858057
0.55113.1235251356732.19629131013251
0.56113.6087695766042.1892146310016
0.57114.090352087632.16775735288973
0.58114.5650261323092.12532061020037
0.59115.0289190458372.06049155460614
0.6115.4786480049481.97792851234727
0.61115.9124363733631.88811805238641
0.62116.3309431038141.8044050252628
0.63116.7375862245291.7417654862145
0.64117.138269367171.71204104974798
0.65117.5405721764451.72105214138207
0.66117.9525999746041.76785910781108
0.67118.3817695182731.84491244186727
0.68118.8338149316631.94054898787121
0.69119.3122294620642.04220946495281
0.7119.8182335195562.13959284095189
0.71120.3512130247272.22595580337304
0.72120.9094479107082.29849397322405
0.73121.4908877259312.35831728035214
0.74122.0937502360612.40832156104888
0.75122.7168113544362.45171931454058
0.76123.3593823513262.49042655617494
0.77124.0210780057182.52464322937542
0.78124.7015215566912.55321788186827
0.79125.4001026617912.57456402201224
0.8126.1158509964322.5871183654858
0.81126.8474925547032.58968321610328
0.82127.5938706281452.58209431382006
0.83128.3550773615542.56695967896808
0.84129.1346363177532.55422523526878
0.85129.942613285342.56570811573458
0.86130.7985215982622.63508258691343
0.87131.7317893172642.79640262634643
0.88132.7774761776543.0594388046119
0.89133.9670084635613.3877957027939
0.9135.3177010030913.70596753757763
0.91136.827900302043.93582781231237
0.92138.482253919754.04391946810395
0.93140.262758446464.05383656228282
0.94142.1547734878863.99730630761957
0.95144.1509194192013.85114652351237
0.96146.2926472008783.61706042650725
0.97148.7939697680863.58521501363774
0.98152.1262263340214.22102066807273
0.99156.4544884353745.36023147265353


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')