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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, 10 Oct 2015 16:41:19 +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/10/t1444491702wcz15owo7ihbmuh.htm/, Retrieved Tue, 14 May 2024 03:07:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=282221, Retrieved Tue, 14 May 2024 03:07:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact79

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] [] [2015-10-10 15:41:19] [237b8e3b7b7bc12136ba0893525d9132] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
71,83
71,39
73,71
74,13
74,45
74,95
75,09
75,23
76,11
76,64
76,97
78,23
77,15
76,33
70,19
68,42
66,49
63,41
62,92
65,53
65,26
68,25
74,39
78,71
82,15
86,05
89,46
89,32
88,94
93,35
94,72
96,11
104,06
104,11
103,9
110,75
110,82
107,59
96,03
95,69
90,63
75,87
75,57
78,78
74,93
75,85
75,49
76,87
78,18
79,37
80,59
81,18
81,02
82,75
83,63
85,35
90,52
90,66
90,69
92,56
92,87
93,82
96,32
96,03
96,53
102,96
102,38
102,66
106,83
106,5
106,78
108,49
108,77
110,43
110,84
110,52
110,11
109,42
109,06
108,98
108,36
108,11
108,44
107,76
106,27
101,07
100,79
100,97
99,33
99,35
99,23
98,14
98,17
98,48
99
99,19
99,1
100,13
100,07
95,26
94,72
94,25
89,46
88,38
88,57
93,82
93,94
93,92

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'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282221&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282221&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282221&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0163.45224835703820.997879014503863
0.0264.42179229763071.41604487632955
0.0365.51830242650851.64073329036616
0.0466.62379358825971.91158996215171
0.0567.7380043066162.17523449555695
0.0668.85871301146742.34699202757343
0.0769.95596786441462.39644266596311
0.0870.98857075729242.31744149963781
0.0971.91903357463672.12375128680277
0.172.72176187579741.85087372051331
0.1173.38726637642531.54755205883122
0.1273.92230779905151.26123716706794
0.1374.34600533653261.0262394231005
0.1474.68377631433960.858047721924633
0.1574.96159273861880.756230723254923
0.1675.20218956762920.710144071958938
0.1775.42355513162250.706998207667264
0.1875.63911836585070.736413681702858
0.1975.8587677031190.791398790033842
0.276.09000850459410.868399038908949
0.2176.33889052277350.965620941652738
0.2276.61060940917561.08208357084325
0.2376.90983845979891.21724040911386
0.2477.24089438022921.37018356617954
0.2577.6078242421071.54037993651894
0.2678.01445515501761.72801921162111
0.2778.46439794267481.93232607939652
0.2878.96095839641252.15223686910331
0.2979.5068969509112.38543488447003
0.380.10399738242752.62650446075134
0.3180.75245742273692.86742167799051
0.3281.4501887382363.09599445003693
0.3382.19218883926173.29719816266674
0.3482.97019333302523.45509933443336
0.3583.77280484406933.55503578986639
0.3684.58621077188693.58691344802447
0.3785.39545768781843.5480729746421
0.3886.18608534634343.44367060623194
0.3986.94579408651083.28699006859119
0.487.66577651159143.09720959840278
0.4188.34141092624542.89537503326443
0.4288.97217419890742.70077974579775
0.4389.56083548290572.52713269298929
0.4490.11217441632392.38104709091942
0.4590.63157200415242.26082353225654
0.4691.12382171776362.15983563590782
0.4791.59241048974892.06917091689847
0.4892.03936224691581.98076322170033
0.4992.46557319519651.89033616959914
0.592.8714474015591.79758646107974
0.5193.25759341636071.70596092900338
0.5293.62537098789411.62138415109092
0.5393.9771595503471.54981763745538
0.5494.31632073952971.49625943092772
0.5594.64690975716621.46330587625909
0.5694.97323310071961.45087938903566
0.5795.29935190351721.45655365947893
0.5895.62860748438221.47550760589294
0.5995.9632218298821.50208043267289
0.696.30401676666181.52879990692645
0.6196.65030176089581.54856574559228
0.6296.99998649579831.55450797503323
0.6397.34996006001411.54284147719306
0.6497.69673161670361.51238498877163
0.6598.0372542417061.46678478454271
0.6698.36977932943541.41334363963675
0.6798.69454671761221.36306767147343
0.6899.01413039904711.32769753413392
0.6999.33333466622381.3178527862869
0.799.65864904609861.33920605299293
0.7199.99738407002991.3929782693735
0.72100.3566845488161.47459021799448
0.73100.7426278231541.57598888253784
0.74101.1595597243131.68758848832504
0.75101.6097220474861.79981663766753
0.76102.0931201248721.90362839708702
0.77102.6075113907141.9914706274504
0.78103.1484003709272.0559285047149
0.79103.7090090307252.08955766552371
0.8104.280317238082.08516308375734
0.81104.8513605980942.03696572886167
0.82105.4099544768691.94234918946142
0.83105.9438627257361.80446562019228
0.84106.4422204807951.63220162032929
0.85106.8968884336351.43911543378458
0.86107.3034615293921.24020289801676
0.87107.66184953491.0505201430452
0.88107.9765358045080.883247227123143
0.89108.2566320037970.750228797176702
0.9108.5156043604870.66200977819105
0.91108.7701096585720.625029985537278
0.92109.0370014031640.634609342276831
0.93109.327873892980.667859331966248
0.94109.6423277552110.684901351680226
0.95109.9640898392860.645055987380047
0.96110.2648755599510.534104277318112
0.97110.5155471665830.377482636524279
0.98110.6965580671250.217926823335306
0.99110.8017682570970.0861727872275353

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 63.4522483570382 & 0.997879014503863 \tabularnewline
0.02 & 64.4217922976307 & 1.41604487632955 \tabularnewline
0.03 & 65.5183024265085 & 1.64073329036616 \tabularnewline
0.04 & 66.6237935882597 & 1.91158996215171 \tabularnewline
0.05 & 67.738004306616 & 2.17523449555695 \tabularnewline
0.06 & 68.8587130114674 & 2.34699202757343 \tabularnewline
0.07 & 69.9559678644146 & 2.39644266596311 \tabularnewline
0.08 & 70.9885707572924 & 2.31744149963781 \tabularnewline
0.09 & 71.9190335746367 & 2.12375128680277 \tabularnewline
0.1 & 72.7217618757974 & 1.85087372051331 \tabularnewline
0.11 & 73.3872663764253 & 1.54755205883122 \tabularnewline
0.12 & 73.9223077990515 & 1.26123716706794 \tabularnewline
0.13 & 74.3460053365326 & 1.0262394231005 \tabularnewline
0.14 & 74.6837763143396 & 0.858047721924633 \tabularnewline
0.15 & 74.9615927386188 & 0.756230723254923 \tabularnewline
0.16 & 75.2021895676292 & 0.710144071958938 \tabularnewline
0.17 & 75.4235551316225 & 0.706998207667264 \tabularnewline
0.18 & 75.6391183658507 & 0.736413681702858 \tabularnewline
0.19 & 75.858767703119 & 0.791398790033842 \tabularnewline
0.2 & 76.0900085045941 & 0.868399038908949 \tabularnewline
0.21 & 76.3388905227735 & 0.965620941652738 \tabularnewline
0.22 & 76.6106094091756 & 1.08208357084325 \tabularnewline
0.23 & 76.9098384597989 & 1.21724040911386 \tabularnewline
0.24 & 77.2408943802292 & 1.37018356617954 \tabularnewline
0.25 & 77.607824242107 & 1.54037993651894 \tabularnewline
0.26 & 78.0144551550176 & 1.72801921162111 \tabularnewline
0.27 & 78.4643979426748 & 1.93232607939652 \tabularnewline
0.28 & 78.9609583964125 & 2.15223686910331 \tabularnewline
0.29 & 79.506896950911 & 2.38543488447003 \tabularnewline
0.3 & 80.1039973824275 & 2.62650446075134 \tabularnewline
0.31 & 80.7524574227369 & 2.86742167799051 \tabularnewline
0.32 & 81.450188738236 & 3.09599445003693 \tabularnewline
0.33 & 82.1921888392617 & 3.29719816266674 \tabularnewline
0.34 & 82.9701933330252 & 3.45509933443336 \tabularnewline
0.35 & 83.7728048440693 & 3.55503578986639 \tabularnewline
0.36 & 84.5862107718869 & 3.58691344802447 \tabularnewline
0.37 & 85.3954576878184 & 3.5480729746421 \tabularnewline
0.38 & 86.1860853463434 & 3.44367060623194 \tabularnewline
0.39 & 86.9457940865108 & 3.28699006859119 \tabularnewline
0.4 & 87.6657765115914 & 3.09720959840278 \tabularnewline
0.41 & 88.3414109262454 & 2.89537503326443 \tabularnewline
0.42 & 88.9721741989074 & 2.70077974579775 \tabularnewline
0.43 & 89.5608354829057 & 2.52713269298929 \tabularnewline
0.44 & 90.1121744163239 & 2.38104709091942 \tabularnewline
0.45 & 90.6315720041524 & 2.26082353225654 \tabularnewline
0.46 & 91.1238217177636 & 2.15983563590782 \tabularnewline
0.47 & 91.5924104897489 & 2.06917091689847 \tabularnewline
0.48 & 92.0393622469158 & 1.98076322170033 \tabularnewline
0.49 & 92.4655731951965 & 1.89033616959914 \tabularnewline
0.5 & 92.871447401559 & 1.79758646107974 \tabularnewline
0.51 & 93.2575934163607 & 1.70596092900338 \tabularnewline
0.52 & 93.6253709878941 & 1.62138415109092 \tabularnewline
0.53 & 93.977159550347 & 1.54981763745538 \tabularnewline
0.54 & 94.3163207395297 & 1.49625943092772 \tabularnewline
0.55 & 94.6469097571662 & 1.46330587625909 \tabularnewline
0.56 & 94.9732331007196 & 1.45087938903566 \tabularnewline
0.57 & 95.2993519035172 & 1.45655365947893 \tabularnewline
0.58 & 95.6286074843822 & 1.47550760589294 \tabularnewline
0.59 & 95.963221829882 & 1.50208043267289 \tabularnewline
0.6 & 96.3040167666618 & 1.52879990692645 \tabularnewline
0.61 & 96.6503017608958 & 1.54856574559228 \tabularnewline
0.62 & 96.9999864957983 & 1.55450797503323 \tabularnewline
0.63 & 97.3499600600141 & 1.54284147719306 \tabularnewline
0.64 & 97.6967316167036 & 1.51238498877163 \tabularnewline
0.65 & 98.037254241706 & 1.46678478454271 \tabularnewline
0.66 & 98.3697793294354 & 1.41334363963675 \tabularnewline
0.67 & 98.6945467176122 & 1.36306767147343 \tabularnewline
0.68 & 99.0141303990471 & 1.32769753413392 \tabularnewline
0.69 & 99.3333346662238 & 1.3178527862869 \tabularnewline
0.7 & 99.6586490460986 & 1.33920605299293 \tabularnewline
0.71 & 99.9973840700299 & 1.3929782693735 \tabularnewline
0.72 & 100.356684548816 & 1.47459021799448 \tabularnewline
0.73 & 100.742627823154 & 1.57598888253784 \tabularnewline
0.74 & 101.159559724313 & 1.68758848832504 \tabularnewline
0.75 & 101.609722047486 & 1.79981663766753 \tabularnewline
0.76 & 102.093120124872 & 1.90362839708702 \tabularnewline
0.77 & 102.607511390714 & 1.9914706274504 \tabularnewline
0.78 & 103.148400370927 & 2.0559285047149 \tabularnewline
0.79 & 103.709009030725 & 2.08955766552371 \tabularnewline
0.8 & 104.28031723808 & 2.08516308375734 \tabularnewline
0.81 & 104.851360598094 & 2.03696572886167 \tabularnewline
0.82 & 105.409954476869 & 1.94234918946142 \tabularnewline
0.83 & 105.943862725736 & 1.80446562019228 \tabularnewline
0.84 & 106.442220480795 & 1.63220162032929 \tabularnewline
0.85 & 106.896888433635 & 1.43911543378458 \tabularnewline
0.86 & 107.303461529392 & 1.24020289801676 \tabularnewline
0.87 & 107.6618495349 & 1.0505201430452 \tabularnewline
0.88 & 107.976535804508 & 0.883247227123143 \tabularnewline
0.89 & 108.256632003797 & 0.750228797176702 \tabularnewline
0.9 & 108.515604360487 & 0.66200977819105 \tabularnewline
0.91 & 108.770109658572 & 0.625029985537278 \tabularnewline
0.92 & 109.037001403164 & 0.634609342276831 \tabularnewline
0.93 & 109.32787389298 & 0.667859331966248 \tabularnewline
0.94 & 109.642327755211 & 0.684901351680226 \tabularnewline
0.95 & 109.964089839286 & 0.645055987380047 \tabularnewline
0.96 & 110.264875559951 & 0.534104277318112 \tabularnewline
0.97 & 110.515547166583 & 0.377482636524279 \tabularnewline
0.98 & 110.696558067125 & 0.217926823335306 \tabularnewline
0.99 & 110.801768257097 & 0.0861727872275353 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282221&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]63.4522483570382[/C][C]0.997879014503863[/C][/ROW]
[ROW][C]0.02[/C][C]64.4217922976307[/C][C]1.41604487632955[/C][/ROW]
[ROW][C]0.03[/C][C]65.5183024265085[/C][C]1.64073329036616[/C][/ROW]
[ROW][C]0.04[/C][C]66.6237935882597[/C][C]1.91158996215171[/C][/ROW]
[ROW][C]0.05[/C][C]67.738004306616[/C][C]2.17523449555695[/C][/ROW]
[ROW][C]0.06[/C][C]68.8587130114674[/C][C]2.34699202757343[/C][/ROW]
[ROW][C]0.07[/C][C]69.9559678644146[/C][C]2.39644266596311[/C][/ROW]
[ROW][C]0.08[/C][C]70.9885707572924[/C][C]2.31744149963781[/C][/ROW]
[ROW][C]0.09[/C][C]71.9190335746367[/C][C]2.12375128680277[/C][/ROW]
[ROW][C]0.1[/C][C]72.7217618757974[/C][C]1.85087372051331[/C][/ROW]
[ROW][C]0.11[/C][C]73.3872663764253[/C][C]1.54755205883122[/C][/ROW]
[ROW][C]0.12[/C][C]73.9223077990515[/C][C]1.26123716706794[/C][/ROW]
[ROW][C]0.13[/C][C]74.3460053365326[/C][C]1.0262394231005[/C][/ROW]
[ROW][C]0.14[/C][C]74.6837763143396[/C][C]0.858047721924633[/C][/ROW]
[ROW][C]0.15[/C][C]74.9615927386188[/C][C]0.756230723254923[/C][/ROW]
[ROW][C]0.16[/C][C]75.2021895676292[/C][C]0.710144071958938[/C][/ROW]
[ROW][C]0.17[/C][C]75.4235551316225[/C][C]0.706998207667264[/C][/ROW]
[ROW][C]0.18[/C][C]75.6391183658507[/C][C]0.736413681702858[/C][/ROW]
[ROW][C]0.19[/C][C]75.858767703119[/C][C]0.791398790033842[/C][/ROW]
[ROW][C]0.2[/C][C]76.0900085045941[/C][C]0.868399038908949[/C][/ROW]
[ROW][C]0.21[/C][C]76.3388905227735[/C][C]0.965620941652738[/C][/ROW]
[ROW][C]0.22[/C][C]76.6106094091756[/C][C]1.08208357084325[/C][/ROW]
[ROW][C]0.23[/C][C]76.9098384597989[/C][C]1.21724040911386[/C][/ROW]
[ROW][C]0.24[/C][C]77.2408943802292[/C][C]1.37018356617954[/C][/ROW]
[ROW][C]0.25[/C][C]77.607824242107[/C][C]1.54037993651894[/C][/ROW]
[ROW][C]0.26[/C][C]78.0144551550176[/C][C]1.72801921162111[/C][/ROW]
[ROW][C]0.27[/C][C]78.4643979426748[/C][C]1.93232607939652[/C][/ROW]
[ROW][C]0.28[/C][C]78.9609583964125[/C][C]2.15223686910331[/C][/ROW]
[ROW][C]0.29[/C][C]79.506896950911[/C][C]2.38543488447003[/C][/ROW]
[ROW][C]0.3[/C][C]80.1039973824275[/C][C]2.62650446075134[/C][/ROW]
[ROW][C]0.31[/C][C]80.7524574227369[/C][C]2.86742167799051[/C][/ROW]
[ROW][C]0.32[/C][C]81.450188738236[/C][C]3.09599445003693[/C][/ROW]
[ROW][C]0.33[/C][C]82.1921888392617[/C][C]3.29719816266674[/C][/ROW]
[ROW][C]0.34[/C][C]82.9701933330252[/C][C]3.45509933443336[/C][/ROW]
[ROW][C]0.35[/C][C]83.7728048440693[/C][C]3.55503578986639[/C][/ROW]
[ROW][C]0.36[/C][C]84.5862107718869[/C][C]3.58691344802447[/C][/ROW]
[ROW][C]0.37[/C][C]85.3954576878184[/C][C]3.5480729746421[/C][/ROW]
[ROW][C]0.38[/C][C]86.1860853463434[/C][C]3.44367060623194[/C][/ROW]
[ROW][C]0.39[/C][C]86.9457940865108[/C][C]3.28699006859119[/C][/ROW]
[ROW][C]0.4[/C][C]87.6657765115914[/C][C]3.09720959840278[/C][/ROW]
[ROW][C]0.41[/C][C]88.3414109262454[/C][C]2.89537503326443[/C][/ROW]
[ROW][C]0.42[/C][C]88.9721741989074[/C][C]2.70077974579775[/C][/ROW]
[ROW][C]0.43[/C][C]89.5608354829057[/C][C]2.52713269298929[/C][/ROW]
[ROW][C]0.44[/C][C]90.1121744163239[/C][C]2.38104709091942[/C][/ROW]
[ROW][C]0.45[/C][C]90.6315720041524[/C][C]2.26082353225654[/C][/ROW]
[ROW][C]0.46[/C][C]91.1238217177636[/C][C]2.15983563590782[/C][/ROW]
[ROW][C]0.47[/C][C]91.5924104897489[/C][C]2.06917091689847[/C][/ROW]
[ROW][C]0.48[/C][C]92.0393622469158[/C][C]1.98076322170033[/C][/ROW]
[ROW][C]0.49[/C][C]92.4655731951965[/C][C]1.89033616959914[/C][/ROW]
[ROW][C]0.5[/C][C]92.871447401559[/C][C]1.79758646107974[/C][/ROW]
[ROW][C]0.51[/C][C]93.2575934163607[/C][C]1.70596092900338[/C][/ROW]
[ROW][C]0.52[/C][C]93.6253709878941[/C][C]1.62138415109092[/C][/ROW]
[ROW][C]0.53[/C][C]93.977159550347[/C][C]1.54981763745538[/C][/ROW]
[ROW][C]0.54[/C][C]94.3163207395297[/C][C]1.49625943092772[/C][/ROW]
[ROW][C]0.55[/C][C]94.6469097571662[/C][C]1.46330587625909[/C][/ROW]
[ROW][C]0.56[/C][C]94.9732331007196[/C][C]1.45087938903566[/C][/ROW]
[ROW][C]0.57[/C][C]95.2993519035172[/C][C]1.45655365947893[/C][/ROW]
[ROW][C]0.58[/C][C]95.6286074843822[/C][C]1.47550760589294[/C][/ROW]
[ROW][C]0.59[/C][C]95.963221829882[/C][C]1.50208043267289[/C][/ROW]
[ROW][C]0.6[/C][C]96.3040167666618[/C][C]1.52879990692645[/C][/ROW]
[ROW][C]0.61[/C][C]96.6503017608958[/C][C]1.54856574559228[/C][/ROW]
[ROW][C]0.62[/C][C]96.9999864957983[/C][C]1.55450797503323[/C][/ROW]
[ROW][C]0.63[/C][C]97.3499600600141[/C][C]1.54284147719306[/C][/ROW]
[ROW][C]0.64[/C][C]97.6967316167036[/C][C]1.51238498877163[/C][/ROW]
[ROW][C]0.65[/C][C]98.037254241706[/C][C]1.46678478454271[/C][/ROW]
[ROW][C]0.66[/C][C]98.3697793294354[/C][C]1.41334363963675[/C][/ROW]
[ROW][C]0.67[/C][C]98.6945467176122[/C][C]1.36306767147343[/C][/ROW]
[ROW][C]0.68[/C][C]99.0141303990471[/C][C]1.32769753413392[/C][/ROW]
[ROW][C]0.69[/C][C]99.3333346662238[/C][C]1.3178527862869[/C][/ROW]
[ROW][C]0.7[/C][C]99.6586490460986[/C][C]1.33920605299293[/C][/ROW]
[ROW][C]0.71[/C][C]99.9973840700299[/C][C]1.3929782693735[/C][/ROW]
[ROW][C]0.72[/C][C]100.356684548816[/C][C]1.47459021799448[/C][/ROW]
[ROW][C]0.73[/C][C]100.742627823154[/C][C]1.57598888253784[/C][/ROW]
[ROW][C]0.74[/C][C]101.159559724313[/C][C]1.68758848832504[/C][/ROW]
[ROW][C]0.75[/C][C]101.609722047486[/C][C]1.79981663766753[/C][/ROW]
[ROW][C]0.76[/C][C]102.093120124872[/C][C]1.90362839708702[/C][/ROW]
[ROW][C]0.77[/C][C]102.607511390714[/C][C]1.9914706274504[/C][/ROW]
[ROW][C]0.78[/C][C]103.148400370927[/C][C]2.0559285047149[/C][/ROW]
[ROW][C]0.79[/C][C]103.709009030725[/C][C]2.08955766552371[/C][/ROW]
[ROW][C]0.8[/C][C]104.28031723808[/C][C]2.08516308375734[/C][/ROW]
[ROW][C]0.81[/C][C]104.851360598094[/C][C]2.03696572886167[/C][/ROW]
[ROW][C]0.82[/C][C]105.409954476869[/C][C]1.94234918946142[/C][/ROW]
[ROW][C]0.83[/C][C]105.943862725736[/C][C]1.80446562019228[/C][/ROW]
[ROW][C]0.84[/C][C]106.442220480795[/C][C]1.63220162032929[/C][/ROW]
[ROW][C]0.85[/C][C]106.896888433635[/C][C]1.43911543378458[/C][/ROW]
[ROW][C]0.86[/C][C]107.303461529392[/C][C]1.24020289801676[/C][/ROW]
[ROW][C]0.87[/C][C]107.6618495349[/C][C]1.0505201430452[/C][/ROW]
[ROW][C]0.88[/C][C]107.976535804508[/C][C]0.883247227123143[/C][/ROW]
[ROW][C]0.89[/C][C]108.256632003797[/C][C]0.750228797176702[/C][/ROW]
[ROW][C]0.9[/C][C]108.515604360487[/C][C]0.66200977819105[/C][/ROW]
[ROW][C]0.91[/C][C]108.770109658572[/C][C]0.625029985537278[/C][/ROW]
[ROW][C]0.92[/C][C]109.037001403164[/C][C]0.634609342276831[/C][/ROW]
[ROW][C]0.93[/C][C]109.32787389298[/C][C]0.667859331966248[/C][/ROW]
[ROW][C]0.94[/C][C]109.642327755211[/C][C]0.684901351680226[/C][/ROW]
[ROW][C]0.95[/C][C]109.964089839286[/C][C]0.645055987380047[/C][/ROW]
[ROW][C]0.96[/C][C]110.264875559951[/C][C]0.534104277318112[/C][/ROW]
[ROW][C]0.97[/C][C]110.515547166583[/C][C]0.377482636524279[/C][/ROW]
[ROW][C]0.98[/C][C]110.696558067125[/C][C]0.217926823335306[/C][/ROW]
[ROW][C]0.99[/C][C]110.801768257097[/C][C]0.0861727872275353[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282221&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282221&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
0.0163.45224835703820.997879014503863
0.0264.42179229763071.41604487632955
0.0365.51830242650851.64073329036616
0.0466.62379358825971.91158996215171
0.0567.7380043066162.17523449555695
0.0668.85871301146742.34699202757343
0.0769.95596786441462.39644266596311
0.0870.98857075729242.31744149963781
0.0971.91903357463672.12375128680277
0.172.72176187579741.85087372051331
0.1173.38726637642531.54755205883122
0.1273.92230779905151.26123716706794
0.1374.34600533653261.0262394231005
0.1474.68377631433960.858047721924633
0.1574.96159273861880.756230723254923
0.1675.20218956762920.710144071958938
0.1775.42355513162250.706998207667264
0.1875.63911836585070.736413681702858
0.1975.8587677031190.791398790033842
0.276.09000850459410.868399038908949
0.2176.33889052277350.965620941652738
0.2276.61060940917561.08208357084325
0.2376.90983845979891.21724040911386
0.2477.24089438022921.37018356617954
0.2577.6078242421071.54037993651894
0.2678.01445515501761.72801921162111
0.2778.46439794267481.93232607939652
0.2878.96095839641252.15223686910331
0.2979.5068969509112.38543488447003
0.380.10399738242752.62650446075134
0.3180.75245742273692.86742167799051
0.3281.4501887382363.09599445003693
0.3382.19218883926173.29719816266674
0.3482.97019333302523.45509933443336
0.3583.77280484406933.55503578986639
0.3684.58621077188693.58691344802447
0.3785.39545768781843.5480729746421
0.3886.18608534634343.44367060623194
0.3986.94579408651083.28699006859119
0.487.66577651159143.09720959840278
0.4188.34141092624542.89537503326443
0.4288.97217419890742.70077974579775
0.4389.56083548290572.52713269298929
0.4490.11217441632392.38104709091942
0.4590.63157200415242.26082353225654
0.4691.12382171776362.15983563590782
0.4791.59241048974892.06917091689847
0.4892.03936224691581.98076322170033
0.4992.46557319519651.89033616959914
0.592.8714474015591.79758646107974
0.5193.25759341636071.70596092900338
0.5293.62537098789411.62138415109092
0.5393.9771595503471.54981763745538
0.5494.31632073952971.49625943092772
0.5594.64690975716621.46330587625909
0.5694.97323310071961.45087938903566
0.5795.29935190351721.45655365947893
0.5895.62860748438221.47550760589294
0.5995.9632218298821.50208043267289
0.696.30401676666181.52879990692645
0.6196.65030176089581.54856574559228
0.6296.99998649579831.55450797503323
0.6397.34996006001411.54284147719306
0.6497.69673161670361.51238498877163
0.6598.0372542417061.46678478454271
0.6698.36977932943541.41334363963675
0.6798.69454671761221.36306767147343
0.6899.01413039904711.32769753413392
0.6999.33333466622381.3178527862869
0.799.65864904609861.33920605299293
0.7199.99738407002991.3929782693735
0.72100.3566845488161.47459021799448
0.73100.7426278231541.57598888253784
0.74101.1595597243131.68758848832504
0.75101.6097220474861.79981663766753
0.76102.0931201248721.90362839708702
0.77102.6075113907141.9914706274504
0.78103.1484003709272.0559285047149
0.79103.7090090307252.08955766552371
0.8104.280317238082.08516308375734
0.81104.8513605980942.03696572886167
0.82105.4099544768691.94234918946142
0.83105.9438627257361.80446562019228
0.84106.4422204807951.63220162032929
0.85106.8968884336351.43911543378458
0.86107.3034615293921.24020289801676
0.87107.66184953491.0505201430452
0.88107.9765358045080.883247227123143
0.89108.2566320037970.750228797176702
0.9108.5156043604870.66200977819105
0.91108.7701096585720.625029985537278
0.92109.0370014031640.634609342276831
0.93109.327873892980.667859331966248
0.94109.6423277552110.684901351680226
0.95109.9640898392860.645055987380047
0.96110.2648755599510.534104277318112
0.97110.5155471665830.377482636524279
0.98110.6965580671250.217926823335306
0.99110.8017682570970.0861727872275353


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')