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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 computationFri, 09 Oct 2015 13:05:23 +0100
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/Oct/09/t1444392360iu424n4knrh4txp.htm/, Retrieved Fri, 17 May 2024 22:57:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281870, Retrieved Fri, 17 May 2024 22:57:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact74

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] [] [2015-10-09 12:05:23] [b3d63f0d56915497ce660fdd9ec1cd3f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
92.3
97.1
117.61
104.42
101.88
117.54
105.34
96.77
116.43
113.33
110.76
100.95
105.91
110.2
125.05
108.98
119.11
113.7
107.45
97.48
110.56
108.74
107.71
101.05
104.0
110.56
120.88
106.09
109.18
111.06
106.16
98.24
103.53
113.3
107.86
95.34
103.23
103.12
113.77
111.83
112.12
108.57
114.31
93.22
112.42
119.31
109.95
103.21
109.16
108.58
114.71
116.04
110.69
113.46
113.98
93.73
118.97
117,69
104.42
101.11

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=281870&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=281870&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281870&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
0.0192.55101806899910.891113469476196
0.0292.9674737218310.978263635090628
0.0393.48231006429321.18199708411072
0.0494.04956076219951.40953587260926
0.0594.64300823095531.58226577489098
0.0695.2444020881461.67921157453343
0.0795.83935203395071.72264600785521
0.0896.41875314901421.75021566505274
0.0996.97980995078961.79033095436047
0.197.52444708168851.84965873221034
0.1198.05616233532451.91596727629811
0.1298.57717925067781.96969545984275
0.1399.08702860953141.99454575056797
0.1499.58266799349191.98286665141991
0.15100.0595930238671.93580964740444
0.16100.5132260215941.86109974699623
0.17100.9400381791311.7690901984313
0.18101.3381575212121.67026877726745
0.19101.7074744116671.57292837313064
0.2102.0494025698471.48274186869773
0.21102.3664844746491.40361020927697
0.22102.6619858375631.33783970661548
0.23102.9395538811141.28720375034116
0.24103.2029550700611.25279702440589
0.25103.4558757742361.23502293515265
0.26103.7017627772961.23281360975278
0.27103.9436891294581.24448577774661
0.28104.1842430397381.26704969682545
0.29104.4254456316771.29697695585579
0.3104.6687049216421.33085824627236
0.31104.9148097234981.36531904198367
0.32105.1639614617981.39728283407749
0.33105.4158369966991.42416101621671
0.34105.6696731517791.44403720176049
0.35105.9243638565371.45529730816402
0.36106.1785627947811.4572469425643
0.37106.4307869153981.44920388911049
0.38106.6795180082871.43103617202939
0.39106.9233001832071.40349882628892
0.4107.1608305225711.36747485483878
0.41107.3910389076731.3247344792635
0.42107.6131517923761.27714812117842
0.43107.8267342577071.22704033007065
0.44108.0317055284951.17689822281787
0.45108.2283253994431.12892183932281
0.46108.4171524290811.08513670993481
0.47108.5989787055671.04697488644403
0.48108.7747496623721.01520007621832
0.49108.9454800026890.990106426700219
0.5109.1121776218320.97100976585278
0.51109.275786153720.957114705472774
0.52109.4371534716670.947208037543535
0.53109.5970286262790.940539600782068
0.54109.7560841388780.93623768574608
0.55109.914955335010.93439920137127
0.56110.07428456330.935224324343348
0.57110.2347565655790.939547378499903
0.58110.397112419220.948022802117632
0.59110.5621333206730.961540342422852
0.6110.7305914400290.979911411183195
0.61110.903172120341.00275740471884
0.62111.0803785323731.02850267160603
0.63111.262435224141.05502194599148
0.64111.4492097654781.07958396819497
0.65111.6401712654571.09936602178904
0.66111.8344008681481.11177569344812
0.67112.0306628850091.11467379734594
0.68112.2275369027321.10709376423814
0.69112.4236021602811.08921754173467
0.7112.6176569018641.06247836570223
0.71112.808948327121.0297230727771
0.72112.9973839719160.995215342599888
0.73113.1836933980660.964064310707079
0.74113.3695102965320.942049980126491
0.75113.557349801690.934552050517432
0.76113.7504642974460.946101168640148
0.77113.9525736131880.978845496786391
0.78114.167482393871.03212601909641
0.79114.3986180181981.10202861251091
0.8114.6485447599681.18189347680179
0.81114.9185298596891.2630823157199
0.82115.2082483362131.33608066493901
0.83115.5157076832091.3918614467748
0.84115.8374440168291.42327541065571
0.85116.1689863875731.42620637287883
0.86116.5055161377891.40074005168217
0.87116.8425900140831.3510516756772
0.88117.1767907415041.28452126670056
0.89117.506260626171.20977790901853
0.9117.8312835125021.13407782953153
0.91118.1553771797621.06320088414314
0.92118.4876355108161.00397466011008
0.93118.8470965483660.972836723348815
0.94119.2692221871651.00584946455231
0.95119.8120594372821.15897655415215
0.96120.5535859758931.48827946059183
0.97121.5623617360362.0263644427869
0.98122.8216658364332.75284095583364
0.99124.1234798166033.53407516200675

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 92.5510180689991 & 0.891113469476196 \tabularnewline
0.02 & 92.967473721831 & 0.978263635090628 \tabularnewline
0.03 & 93.4823100642932 & 1.18199708411072 \tabularnewline
0.04 & 94.0495607621995 & 1.40953587260926 \tabularnewline
0.05 & 94.6430082309553 & 1.58226577489098 \tabularnewline
0.06 & 95.244402088146 & 1.67921157453343 \tabularnewline
0.07 & 95.8393520339507 & 1.72264600785521 \tabularnewline
0.08 & 96.4187531490142 & 1.75021566505274 \tabularnewline
0.09 & 96.9798099507896 & 1.79033095436047 \tabularnewline
0.1 & 97.5244470816885 & 1.84965873221034 \tabularnewline
0.11 & 98.0561623353245 & 1.91596727629811 \tabularnewline
0.12 & 98.5771792506778 & 1.96969545984275 \tabularnewline
0.13 & 99.0870286095314 & 1.99454575056797 \tabularnewline
0.14 & 99.5826679934919 & 1.98286665141991 \tabularnewline
0.15 & 100.059593023867 & 1.93580964740444 \tabularnewline
0.16 & 100.513226021594 & 1.86109974699623 \tabularnewline
0.17 & 100.940038179131 & 1.7690901984313 \tabularnewline
0.18 & 101.338157521212 & 1.67026877726745 \tabularnewline
0.19 & 101.707474411667 & 1.57292837313064 \tabularnewline
0.2 & 102.049402569847 & 1.48274186869773 \tabularnewline
0.21 & 102.366484474649 & 1.40361020927697 \tabularnewline
0.22 & 102.661985837563 & 1.33783970661548 \tabularnewline
0.23 & 102.939553881114 & 1.28720375034116 \tabularnewline
0.24 & 103.202955070061 & 1.25279702440589 \tabularnewline
0.25 & 103.455875774236 & 1.23502293515265 \tabularnewline
0.26 & 103.701762777296 & 1.23281360975278 \tabularnewline
0.27 & 103.943689129458 & 1.24448577774661 \tabularnewline
0.28 & 104.184243039738 & 1.26704969682545 \tabularnewline
0.29 & 104.425445631677 & 1.29697695585579 \tabularnewline
0.3 & 104.668704921642 & 1.33085824627236 \tabularnewline
0.31 & 104.914809723498 & 1.36531904198367 \tabularnewline
0.32 & 105.163961461798 & 1.39728283407749 \tabularnewline
0.33 & 105.415836996699 & 1.42416101621671 \tabularnewline
0.34 & 105.669673151779 & 1.44403720176049 \tabularnewline
0.35 & 105.924363856537 & 1.45529730816402 \tabularnewline
0.36 & 106.178562794781 & 1.4572469425643 \tabularnewline
0.37 & 106.430786915398 & 1.44920388911049 \tabularnewline
0.38 & 106.679518008287 & 1.43103617202939 \tabularnewline
0.39 & 106.923300183207 & 1.40349882628892 \tabularnewline
0.4 & 107.160830522571 & 1.36747485483878 \tabularnewline
0.41 & 107.391038907673 & 1.3247344792635 \tabularnewline
0.42 & 107.613151792376 & 1.27714812117842 \tabularnewline
0.43 & 107.826734257707 & 1.22704033007065 \tabularnewline
0.44 & 108.031705528495 & 1.17689822281787 \tabularnewline
0.45 & 108.228325399443 & 1.12892183932281 \tabularnewline
0.46 & 108.417152429081 & 1.08513670993481 \tabularnewline
0.47 & 108.598978705567 & 1.04697488644403 \tabularnewline
0.48 & 108.774749662372 & 1.01520007621832 \tabularnewline
0.49 & 108.945480002689 & 0.990106426700219 \tabularnewline
0.5 & 109.112177621832 & 0.97100976585278 \tabularnewline
0.51 & 109.27578615372 & 0.957114705472774 \tabularnewline
0.52 & 109.437153471667 & 0.947208037543535 \tabularnewline
0.53 & 109.597028626279 & 0.940539600782068 \tabularnewline
0.54 & 109.756084138878 & 0.93623768574608 \tabularnewline
0.55 & 109.91495533501 & 0.93439920137127 \tabularnewline
0.56 & 110.0742845633 & 0.935224324343348 \tabularnewline
0.57 & 110.234756565579 & 0.939547378499903 \tabularnewline
0.58 & 110.39711241922 & 0.948022802117632 \tabularnewline
0.59 & 110.562133320673 & 0.961540342422852 \tabularnewline
0.6 & 110.730591440029 & 0.979911411183195 \tabularnewline
0.61 & 110.90317212034 & 1.00275740471884 \tabularnewline
0.62 & 111.080378532373 & 1.02850267160603 \tabularnewline
0.63 & 111.26243522414 & 1.05502194599148 \tabularnewline
0.64 & 111.449209765478 & 1.07958396819497 \tabularnewline
0.65 & 111.640171265457 & 1.09936602178904 \tabularnewline
0.66 & 111.834400868148 & 1.11177569344812 \tabularnewline
0.67 & 112.030662885009 & 1.11467379734594 \tabularnewline
0.68 & 112.227536902732 & 1.10709376423814 \tabularnewline
0.69 & 112.423602160281 & 1.08921754173467 \tabularnewline
0.7 & 112.617656901864 & 1.06247836570223 \tabularnewline
0.71 & 112.80894832712 & 1.0297230727771 \tabularnewline
0.72 & 112.997383971916 & 0.995215342599888 \tabularnewline
0.73 & 113.183693398066 & 0.964064310707079 \tabularnewline
0.74 & 113.369510296532 & 0.942049980126491 \tabularnewline
0.75 & 113.55734980169 & 0.934552050517432 \tabularnewline
0.76 & 113.750464297446 & 0.946101168640148 \tabularnewline
0.77 & 113.952573613188 & 0.978845496786391 \tabularnewline
0.78 & 114.16748239387 & 1.03212601909641 \tabularnewline
0.79 & 114.398618018198 & 1.10202861251091 \tabularnewline
0.8 & 114.648544759968 & 1.18189347680179 \tabularnewline
0.81 & 114.918529859689 & 1.2630823157199 \tabularnewline
0.82 & 115.208248336213 & 1.33608066493901 \tabularnewline
0.83 & 115.515707683209 & 1.3918614467748 \tabularnewline
0.84 & 115.837444016829 & 1.42327541065571 \tabularnewline
0.85 & 116.168986387573 & 1.42620637287883 \tabularnewline
0.86 & 116.505516137789 & 1.40074005168217 \tabularnewline
0.87 & 116.842590014083 & 1.3510516756772 \tabularnewline
0.88 & 117.176790741504 & 1.28452126670056 \tabularnewline
0.89 & 117.50626062617 & 1.20977790901853 \tabularnewline
0.9 & 117.831283512502 & 1.13407782953153 \tabularnewline
0.91 & 118.155377179762 & 1.06320088414314 \tabularnewline
0.92 & 118.487635510816 & 1.00397466011008 \tabularnewline
0.93 & 118.847096548366 & 0.972836723348815 \tabularnewline
0.94 & 119.269222187165 & 1.00584946455231 \tabularnewline
0.95 & 119.812059437282 & 1.15897655415215 \tabularnewline
0.96 & 120.553585975893 & 1.48827946059183 \tabularnewline
0.97 & 121.562361736036 & 2.0263644427869 \tabularnewline
0.98 & 122.821665836433 & 2.75284095583364 \tabularnewline
0.99 & 124.123479816603 & 3.53407516200675 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281870&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]92.5510180689991[/C][C]0.891113469476196[/C][/ROW]
[ROW][C]0.02[/C][C]92.967473721831[/C][C]0.978263635090628[/C][/ROW]
[ROW][C]0.03[/C][C]93.4823100642932[/C][C]1.18199708411072[/C][/ROW]
[ROW][C]0.04[/C][C]94.0495607621995[/C][C]1.40953587260926[/C][/ROW]
[ROW][C]0.05[/C][C]94.6430082309553[/C][C]1.58226577489098[/C][/ROW]
[ROW][C]0.06[/C][C]95.244402088146[/C][C]1.67921157453343[/C][/ROW]
[ROW][C]0.07[/C][C]95.8393520339507[/C][C]1.72264600785521[/C][/ROW]
[ROW][C]0.08[/C][C]96.4187531490142[/C][C]1.75021566505274[/C][/ROW]
[ROW][C]0.09[/C][C]96.9798099507896[/C][C]1.79033095436047[/C][/ROW]
[ROW][C]0.1[/C][C]97.5244470816885[/C][C]1.84965873221034[/C][/ROW]
[ROW][C]0.11[/C][C]98.0561623353245[/C][C]1.91596727629811[/C][/ROW]
[ROW][C]0.12[/C][C]98.5771792506778[/C][C]1.96969545984275[/C][/ROW]
[ROW][C]0.13[/C][C]99.0870286095314[/C][C]1.99454575056797[/C][/ROW]
[ROW][C]0.14[/C][C]99.5826679934919[/C][C]1.98286665141991[/C][/ROW]
[ROW][C]0.15[/C][C]100.059593023867[/C][C]1.93580964740444[/C][/ROW]
[ROW][C]0.16[/C][C]100.513226021594[/C][C]1.86109974699623[/C][/ROW]
[ROW][C]0.17[/C][C]100.940038179131[/C][C]1.7690901984313[/C][/ROW]
[ROW][C]0.18[/C][C]101.338157521212[/C][C]1.67026877726745[/C][/ROW]
[ROW][C]0.19[/C][C]101.707474411667[/C][C]1.57292837313064[/C][/ROW]
[ROW][C]0.2[/C][C]102.049402569847[/C][C]1.48274186869773[/C][/ROW]
[ROW][C]0.21[/C][C]102.366484474649[/C][C]1.40361020927697[/C][/ROW]
[ROW][C]0.22[/C][C]102.661985837563[/C][C]1.33783970661548[/C][/ROW]
[ROW][C]0.23[/C][C]102.939553881114[/C][C]1.28720375034116[/C][/ROW]
[ROW][C]0.24[/C][C]103.202955070061[/C][C]1.25279702440589[/C][/ROW]
[ROW][C]0.25[/C][C]103.455875774236[/C][C]1.23502293515265[/C][/ROW]
[ROW][C]0.26[/C][C]103.701762777296[/C][C]1.23281360975278[/C][/ROW]
[ROW][C]0.27[/C][C]103.943689129458[/C][C]1.24448577774661[/C][/ROW]
[ROW][C]0.28[/C][C]104.184243039738[/C][C]1.26704969682545[/C][/ROW]
[ROW][C]0.29[/C][C]104.425445631677[/C][C]1.29697695585579[/C][/ROW]
[ROW][C]0.3[/C][C]104.668704921642[/C][C]1.33085824627236[/C][/ROW]
[ROW][C]0.31[/C][C]104.914809723498[/C][C]1.36531904198367[/C][/ROW]
[ROW][C]0.32[/C][C]105.163961461798[/C][C]1.39728283407749[/C][/ROW]
[ROW][C]0.33[/C][C]105.415836996699[/C][C]1.42416101621671[/C][/ROW]
[ROW][C]0.34[/C][C]105.669673151779[/C][C]1.44403720176049[/C][/ROW]
[ROW][C]0.35[/C][C]105.924363856537[/C][C]1.45529730816402[/C][/ROW]
[ROW][C]0.36[/C][C]106.178562794781[/C][C]1.4572469425643[/C][/ROW]
[ROW][C]0.37[/C][C]106.430786915398[/C][C]1.44920388911049[/C][/ROW]
[ROW][C]0.38[/C][C]106.679518008287[/C][C]1.43103617202939[/C][/ROW]
[ROW][C]0.39[/C][C]106.923300183207[/C][C]1.40349882628892[/C][/ROW]
[ROW][C]0.4[/C][C]107.160830522571[/C][C]1.36747485483878[/C][/ROW]
[ROW][C]0.41[/C][C]107.391038907673[/C][C]1.3247344792635[/C][/ROW]
[ROW][C]0.42[/C][C]107.613151792376[/C][C]1.27714812117842[/C][/ROW]
[ROW][C]0.43[/C][C]107.826734257707[/C][C]1.22704033007065[/C][/ROW]
[ROW][C]0.44[/C][C]108.031705528495[/C][C]1.17689822281787[/C][/ROW]
[ROW][C]0.45[/C][C]108.228325399443[/C][C]1.12892183932281[/C][/ROW]
[ROW][C]0.46[/C][C]108.417152429081[/C][C]1.08513670993481[/C][/ROW]
[ROW][C]0.47[/C][C]108.598978705567[/C][C]1.04697488644403[/C][/ROW]
[ROW][C]0.48[/C][C]108.774749662372[/C][C]1.01520007621832[/C][/ROW]
[ROW][C]0.49[/C][C]108.945480002689[/C][C]0.990106426700219[/C][/ROW]
[ROW][C]0.5[/C][C]109.112177621832[/C][C]0.97100976585278[/C][/ROW]
[ROW][C]0.51[/C][C]109.27578615372[/C][C]0.957114705472774[/C][/ROW]
[ROW][C]0.52[/C][C]109.437153471667[/C][C]0.947208037543535[/C][/ROW]
[ROW][C]0.53[/C][C]109.597028626279[/C][C]0.940539600782068[/C][/ROW]
[ROW][C]0.54[/C][C]109.756084138878[/C][C]0.93623768574608[/C][/ROW]
[ROW][C]0.55[/C][C]109.91495533501[/C][C]0.93439920137127[/C][/ROW]
[ROW][C]0.56[/C][C]110.0742845633[/C][C]0.935224324343348[/C][/ROW]
[ROW][C]0.57[/C][C]110.234756565579[/C][C]0.939547378499903[/C][/ROW]
[ROW][C]0.58[/C][C]110.39711241922[/C][C]0.948022802117632[/C][/ROW]
[ROW][C]0.59[/C][C]110.562133320673[/C][C]0.961540342422852[/C][/ROW]
[ROW][C]0.6[/C][C]110.730591440029[/C][C]0.979911411183195[/C][/ROW]
[ROW][C]0.61[/C][C]110.90317212034[/C][C]1.00275740471884[/C][/ROW]
[ROW][C]0.62[/C][C]111.080378532373[/C][C]1.02850267160603[/C][/ROW]
[ROW][C]0.63[/C][C]111.26243522414[/C][C]1.05502194599148[/C][/ROW]
[ROW][C]0.64[/C][C]111.449209765478[/C][C]1.07958396819497[/C][/ROW]
[ROW][C]0.65[/C][C]111.640171265457[/C][C]1.09936602178904[/C][/ROW]
[ROW][C]0.66[/C][C]111.834400868148[/C][C]1.11177569344812[/C][/ROW]
[ROW][C]0.67[/C][C]112.030662885009[/C][C]1.11467379734594[/C][/ROW]
[ROW][C]0.68[/C][C]112.227536902732[/C][C]1.10709376423814[/C][/ROW]
[ROW][C]0.69[/C][C]112.423602160281[/C][C]1.08921754173467[/C][/ROW]
[ROW][C]0.7[/C][C]112.617656901864[/C][C]1.06247836570223[/C][/ROW]
[ROW][C]0.71[/C][C]112.80894832712[/C][C]1.0297230727771[/C][/ROW]
[ROW][C]0.72[/C][C]112.997383971916[/C][C]0.995215342599888[/C][/ROW]
[ROW][C]0.73[/C][C]113.183693398066[/C][C]0.964064310707079[/C][/ROW]
[ROW][C]0.74[/C][C]113.369510296532[/C][C]0.942049980126491[/C][/ROW]
[ROW][C]0.75[/C][C]113.55734980169[/C][C]0.934552050517432[/C][/ROW]
[ROW][C]0.76[/C][C]113.750464297446[/C][C]0.946101168640148[/C][/ROW]
[ROW][C]0.77[/C][C]113.952573613188[/C][C]0.978845496786391[/C][/ROW]
[ROW][C]0.78[/C][C]114.16748239387[/C][C]1.03212601909641[/C][/ROW]
[ROW][C]0.79[/C][C]114.398618018198[/C][C]1.10202861251091[/C][/ROW]
[ROW][C]0.8[/C][C]114.648544759968[/C][C]1.18189347680179[/C][/ROW]
[ROW][C]0.81[/C][C]114.918529859689[/C][C]1.2630823157199[/C][/ROW]
[ROW][C]0.82[/C][C]115.208248336213[/C][C]1.33608066493901[/C][/ROW]
[ROW][C]0.83[/C][C]115.515707683209[/C][C]1.3918614467748[/C][/ROW]
[ROW][C]0.84[/C][C]115.837444016829[/C][C]1.42327541065571[/C][/ROW]
[ROW][C]0.85[/C][C]116.168986387573[/C][C]1.42620637287883[/C][/ROW]
[ROW][C]0.86[/C][C]116.505516137789[/C][C]1.40074005168217[/C][/ROW]
[ROW][C]0.87[/C][C]116.842590014083[/C][C]1.3510516756772[/C][/ROW]
[ROW][C]0.88[/C][C]117.176790741504[/C][C]1.28452126670056[/C][/ROW]
[ROW][C]0.89[/C][C]117.50626062617[/C][C]1.20977790901853[/C][/ROW]
[ROW][C]0.9[/C][C]117.831283512502[/C][C]1.13407782953153[/C][/ROW]
[ROW][C]0.91[/C][C]118.155377179762[/C][C]1.06320088414314[/C][/ROW]
[ROW][C]0.92[/C][C]118.487635510816[/C][C]1.00397466011008[/C][/ROW]
[ROW][C]0.93[/C][C]118.847096548366[/C][C]0.972836723348815[/C][/ROW]
[ROW][C]0.94[/C][C]119.269222187165[/C][C]1.00584946455231[/C][/ROW]
[ROW][C]0.95[/C][C]119.812059437282[/C][C]1.15897655415215[/C][/ROW]
[ROW][C]0.96[/C][C]120.553585975893[/C][C]1.48827946059183[/C][/ROW]
[ROW][C]0.97[/C][C]121.562361736036[/C][C]2.0263644427869[/C][/ROW]
[ROW][C]0.98[/C][C]122.821665836433[/C][C]2.75284095583364[/C][/ROW]
[ROW][C]0.99[/C][C]124.123479816603[/C][C]3.53407516200675[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281870&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281870&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
0.0192.55101806899910.891113469476196
0.0292.9674737218310.978263635090628
0.0393.48231006429321.18199708411072
0.0494.04956076219951.40953587260926
0.0594.64300823095531.58226577489098
0.0695.2444020881461.67921157453343
0.0795.83935203395071.72264600785521
0.0896.41875314901421.75021566505274
0.0996.97980995078961.79033095436047
0.197.52444708168851.84965873221034
0.1198.05616233532451.91596727629811
0.1298.57717925067781.96969545984275
0.1399.08702860953141.99454575056797
0.1499.58266799349191.98286665141991
0.15100.0595930238671.93580964740444
0.16100.5132260215941.86109974699623
0.17100.9400381791311.7690901984313
0.18101.3381575212121.67026877726745
0.19101.7074744116671.57292837313064
0.2102.0494025698471.48274186869773
0.21102.3664844746491.40361020927697
0.22102.6619858375631.33783970661548
0.23102.9395538811141.28720375034116
0.24103.2029550700611.25279702440589
0.25103.4558757742361.23502293515265
0.26103.7017627772961.23281360975278
0.27103.9436891294581.24448577774661
0.28104.1842430397381.26704969682545
0.29104.4254456316771.29697695585579
0.3104.6687049216421.33085824627236
0.31104.9148097234981.36531904198367
0.32105.1639614617981.39728283407749
0.33105.4158369966991.42416101621671
0.34105.6696731517791.44403720176049
0.35105.9243638565371.45529730816402
0.36106.1785627947811.4572469425643
0.37106.4307869153981.44920388911049
0.38106.6795180082871.43103617202939
0.39106.9233001832071.40349882628892
0.4107.1608305225711.36747485483878
0.41107.3910389076731.3247344792635
0.42107.6131517923761.27714812117842
0.43107.8267342577071.22704033007065
0.44108.0317055284951.17689822281787
0.45108.2283253994431.12892183932281
0.46108.4171524290811.08513670993481
0.47108.5989787055671.04697488644403
0.48108.7747496623721.01520007621832
0.49108.9454800026890.990106426700219
0.5109.1121776218320.97100976585278
0.51109.275786153720.957114705472774
0.52109.4371534716670.947208037543535
0.53109.5970286262790.940539600782068
0.54109.7560841388780.93623768574608
0.55109.914955335010.93439920137127
0.56110.07428456330.935224324343348
0.57110.2347565655790.939547378499903
0.58110.397112419220.948022802117632
0.59110.5621333206730.961540342422852
0.6110.7305914400290.979911411183195
0.61110.903172120341.00275740471884
0.62111.0803785323731.02850267160603
0.63111.262435224141.05502194599148
0.64111.4492097654781.07958396819497
0.65111.6401712654571.09936602178904
0.66111.8344008681481.11177569344812
0.67112.0306628850091.11467379734594
0.68112.2275369027321.10709376423814
0.69112.4236021602811.08921754173467
0.7112.6176569018641.06247836570223
0.71112.808948327121.0297230727771
0.72112.9973839719160.995215342599888
0.73113.1836933980660.964064310707079
0.74113.3695102965320.942049980126491
0.75113.557349801690.934552050517432
0.76113.7504642974460.946101168640148
0.77113.9525736131880.978845496786391
0.78114.167482393871.03212601909641
0.79114.3986180181981.10202861251091
0.8114.6485447599681.18189347680179
0.81114.9185298596891.2630823157199
0.82115.2082483362131.33608066493901
0.83115.5157076832091.3918614467748
0.84115.8374440168291.42327541065571
0.85116.1689863875731.42620637287883
0.86116.5055161377891.40074005168217
0.87116.8425900140831.3510516756772
0.88117.1767907415041.28452126670056
0.89117.506260626171.20977790901853
0.9117.8312835125021.13407782953153
0.91118.1553771797621.06320088414314
0.92118.4876355108161.00397466011008
0.93118.8470965483660.972836723348815
0.94119.2692221871651.00584946455231
0.95119.8120594372821.15897655415215
0.96120.5535859758931.48827946059183
0.97121.5623617360362.0263644427869
0.98122.8216658364332.75284095583364
0.99124.1234798166033.53407516200675


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')