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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 computationTue, 05 Mar 2013 13:41:55 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Mar/05/t1362508926txf450f9iihlkwy.htm/, Retrieved Sat, 12 Sep 2026 09:01:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=207458, Retrieved Sat, 12 Sep 2026 09:01:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact390

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] [] [2013-03-05 18:41:55] [72493e16725cf12b5fc5a9dfdf9b34f2] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
106,1
106,17
105,75
106,49
106,61
106,61
106,61
106,61
106,92
106,94
107,28
107,36
107,36
107,39
107,46
107,51
108,21
108,33
108,33
108,36
108,89
109,3
109,55
109,45
109,45
109,4
109,45
109,5
109,91
109,9
109,9
109,92
109,74
110,28
110,97
111,02
111,02
111
111,43
111,52
112,29
112,27
112,27
112,39
112,31
112,91
112,9
113,08
113,08
113,54
114
115,28
116,4
116,56
116,56
116,59
116,96
117,17
117,83
117,84
117,84
117,84
117,69
117,9
118,05
118,08
118,08
118,08
118,16
118,53
118,5
118,62

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207458&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]2 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=207458&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207458&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 time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01105.8518416676530.2920237260136
0.02105.99890442860.244743119428943
0.03106.1448722567870.230267484355133
0.04106.2723621752760.226046722590903
0.05106.3803187075730.212340659534369
0.06106.4716399186640.192780184901583
0.07106.5501582931160.181192514955259
0.08106.6207581656970.187506987968985
0.09106.6887630180810.210800216003044
0.1106.7586416470710.242928012606004
0.11106.8330616825660.275582812368453
0.12106.9127640747090.3034493033228
0.13106.9971136845550.324555880213725
0.14107.0849304510020.340408939710894
0.15107.1752377712910.354592094182998
0.16107.2677143343910.371434297854203
0.17107.3627943547310.394400789844998
0.18107.461479082390.425044759882172
0.19107.5649844529980.462296570663613
0.2107.6743592665940.503362828147173
0.21107.7901793339620.544728254400276
0.22107.9123747067720.5829049178752
0.23108.0401983809540.614734080352561
0.24108.1723096753950.637947202235983
0.25108.3069297608450.65133790313005
0.26108.4420284408780.653882078209939
0.27108.5755129296050.646057637790163
0.28108.7054026033170.62828315012439
0.29108.8299826073240.602023327832827
0.3108.9479320398270.56918674122441
0.31109.058421128630.532579116467651
0.32109.1611699409780.495184134056674
0.33109.256461734690.460015124943533
0.34109.3451081142760.430106282221295
0.35109.4283696267610.408234754583622
0.36109.5078420140810.396143917057624
0.37109.5853227717920.394796246202222
0.38109.6626737383680.403920623961639
0.39109.7416933409080.42292496115102
0.4109.8240080994130.45021829642175
0.41109.9109886312340.483863057875614
0.42110.0036919140440.52183833496021
0.43110.1028294054610.562176029674467
0.44110.2087594954580.602773201500156
0.45110.3215020402540.641787895757562
0.46110.4407718618880.677760498637501
0.47110.5660270040390.709413614378138
0.48110.6965265944520.735919423384353
0.49110.8313929873880.756915880513775
0.5110.9696738944910.772266322750141
0.51111.1104024234310.782049120685959
0.52111.2526557155140.786624616035937
0.53111.3956151977210.786614865020498
0.54111.538632320590.782794532081712
0.55111.6813024103870.776629838626678
0.56111.8235459288640.769737480602274
0.57111.9656916483960.764546544975381
0.58112.1085510716480.764091144237615
0.59112.2534690205910.771539605795309
0.6112.4023327322860.790352778523964
0.61112.557521867270.823485549140991
0.62112.7217852349190.872958472504126
0.63112.8980372915830.939205775009168
0.64113.0890787689511.02069876629944
0.65113.2972605989241.11391529333781
0.66113.5241268133711.21304104300114
0.67113.7700869441461.31092732802341
0.68114.0341769855441.39919591241169
0.69114.3139653916971.46966843769152
0.7114.6056436731241.51521312957449
0.71114.9043102958551.53076827744657
0.72115.2044169143781.51428966440119
0.73115.5003070736061.46695372590003
0.74115.7867511690121.39305896899441
0.75116.0593778119591.29903811251824
0.76116.3149251890381.19234523345536
0.77116.5512823085031.08008337267191
0.78116.7673463705760.967846941806803
0.79116.9627708884220.859235073659573
0.8117.1377025718820.755594392843435
0.81117.2925940012240.657267579907504
0.82117.4281367764450.56409779193078
0.83117.5453018872670.476615031303768
0.84117.6454242148170.396147112041011
0.85117.7302491809960.324701898709867
0.86117.8018836436470.264107387433584
0.87117.8626541241740.215367076387482
0.88117.9149475910860.178019276169386
0.89117.9611534239060.150445081216275
0.9118.0037982210010.131183524818042
0.91118.045843303080.120588767083265
0.92118.0909176766330.121408224505965
0.93118.1430845961470.136035904838979
0.94118.2057810177050.161097435763751
0.95118.28003677830.185029013925552
0.96118.3629141519770.191996617339135
0.97118.4475561665220.171104314832479
0.98118.5250443224360.129059480872548
0.99118.5858517531580.0949633085044573

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 105.851841667653 & 0.2920237260136 \tabularnewline
0.02 & 105.9989044286 & 0.244743119428943 \tabularnewline
0.03 & 106.144872256787 & 0.230267484355133 \tabularnewline
0.04 & 106.272362175276 & 0.226046722590903 \tabularnewline
0.05 & 106.380318707573 & 0.212340659534369 \tabularnewline
0.06 & 106.471639918664 & 0.192780184901583 \tabularnewline
0.07 & 106.550158293116 & 0.181192514955259 \tabularnewline
0.08 & 106.620758165697 & 0.187506987968985 \tabularnewline
0.09 & 106.688763018081 & 0.210800216003044 \tabularnewline
0.1 & 106.758641647071 & 0.242928012606004 \tabularnewline
0.11 & 106.833061682566 & 0.275582812368453 \tabularnewline
0.12 & 106.912764074709 & 0.3034493033228 \tabularnewline
0.13 & 106.997113684555 & 0.324555880213725 \tabularnewline
0.14 & 107.084930451002 & 0.340408939710894 \tabularnewline
0.15 & 107.175237771291 & 0.354592094182998 \tabularnewline
0.16 & 107.267714334391 & 0.371434297854203 \tabularnewline
0.17 & 107.362794354731 & 0.394400789844998 \tabularnewline
0.18 & 107.46147908239 & 0.425044759882172 \tabularnewline
0.19 & 107.564984452998 & 0.462296570663613 \tabularnewline
0.2 & 107.674359266594 & 0.503362828147173 \tabularnewline
0.21 & 107.790179333962 & 0.544728254400276 \tabularnewline
0.22 & 107.912374706772 & 0.5829049178752 \tabularnewline
0.23 & 108.040198380954 & 0.614734080352561 \tabularnewline
0.24 & 108.172309675395 & 0.637947202235983 \tabularnewline
0.25 & 108.306929760845 & 0.65133790313005 \tabularnewline
0.26 & 108.442028440878 & 0.653882078209939 \tabularnewline
0.27 & 108.575512929605 & 0.646057637790163 \tabularnewline
0.28 & 108.705402603317 & 0.62828315012439 \tabularnewline
0.29 & 108.829982607324 & 0.602023327832827 \tabularnewline
0.3 & 108.947932039827 & 0.56918674122441 \tabularnewline
0.31 & 109.05842112863 & 0.532579116467651 \tabularnewline
0.32 & 109.161169940978 & 0.495184134056674 \tabularnewline
0.33 & 109.25646173469 & 0.460015124943533 \tabularnewline
0.34 & 109.345108114276 & 0.430106282221295 \tabularnewline
0.35 & 109.428369626761 & 0.408234754583622 \tabularnewline
0.36 & 109.507842014081 & 0.396143917057624 \tabularnewline
0.37 & 109.585322771792 & 0.394796246202222 \tabularnewline
0.38 & 109.662673738368 & 0.403920623961639 \tabularnewline
0.39 & 109.741693340908 & 0.42292496115102 \tabularnewline
0.4 & 109.824008099413 & 0.45021829642175 \tabularnewline
0.41 & 109.910988631234 & 0.483863057875614 \tabularnewline
0.42 & 110.003691914044 & 0.52183833496021 \tabularnewline
0.43 & 110.102829405461 & 0.562176029674467 \tabularnewline
0.44 & 110.208759495458 & 0.602773201500156 \tabularnewline
0.45 & 110.321502040254 & 0.641787895757562 \tabularnewline
0.46 & 110.440771861888 & 0.677760498637501 \tabularnewline
0.47 & 110.566027004039 & 0.709413614378138 \tabularnewline
0.48 & 110.696526594452 & 0.735919423384353 \tabularnewline
0.49 & 110.831392987388 & 0.756915880513775 \tabularnewline
0.5 & 110.969673894491 & 0.772266322750141 \tabularnewline
0.51 & 111.110402423431 & 0.782049120685959 \tabularnewline
0.52 & 111.252655715514 & 0.786624616035937 \tabularnewline
0.53 & 111.395615197721 & 0.786614865020498 \tabularnewline
0.54 & 111.53863232059 & 0.782794532081712 \tabularnewline
0.55 & 111.681302410387 & 0.776629838626678 \tabularnewline
0.56 & 111.823545928864 & 0.769737480602274 \tabularnewline
0.57 & 111.965691648396 & 0.764546544975381 \tabularnewline
0.58 & 112.108551071648 & 0.764091144237615 \tabularnewline
0.59 & 112.253469020591 & 0.771539605795309 \tabularnewline
0.6 & 112.402332732286 & 0.790352778523964 \tabularnewline
0.61 & 112.55752186727 & 0.823485549140991 \tabularnewline
0.62 & 112.721785234919 & 0.872958472504126 \tabularnewline
0.63 & 112.898037291583 & 0.939205775009168 \tabularnewline
0.64 & 113.089078768951 & 1.02069876629944 \tabularnewline
0.65 & 113.297260598924 & 1.11391529333781 \tabularnewline
0.66 & 113.524126813371 & 1.21304104300114 \tabularnewline
0.67 & 113.770086944146 & 1.31092732802341 \tabularnewline
0.68 & 114.034176985544 & 1.39919591241169 \tabularnewline
0.69 & 114.313965391697 & 1.46966843769152 \tabularnewline
0.7 & 114.605643673124 & 1.51521312957449 \tabularnewline
0.71 & 114.904310295855 & 1.53076827744657 \tabularnewline
0.72 & 115.204416914378 & 1.51428966440119 \tabularnewline
0.73 & 115.500307073606 & 1.46695372590003 \tabularnewline
0.74 & 115.786751169012 & 1.39305896899441 \tabularnewline
0.75 & 116.059377811959 & 1.29903811251824 \tabularnewline
0.76 & 116.314925189038 & 1.19234523345536 \tabularnewline
0.77 & 116.551282308503 & 1.08008337267191 \tabularnewline
0.78 & 116.767346370576 & 0.967846941806803 \tabularnewline
0.79 & 116.962770888422 & 0.859235073659573 \tabularnewline
0.8 & 117.137702571882 & 0.755594392843435 \tabularnewline
0.81 & 117.292594001224 & 0.657267579907504 \tabularnewline
0.82 & 117.428136776445 & 0.56409779193078 \tabularnewline
0.83 & 117.545301887267 & 0.476615031303768 \tabularnewline
0.84 & 117.645424214817 & 0.396147112041011 \tabularnewline
0.85 & 117.730249180996 & 0.324701898709867 \tabularnewline
0.86 & 117.801883643647 & 0.264107387433584 \tabularnewline
0.87 & 117.862654124174 & 0.215367076387482 \tabularnewline
0.88 & 117.914947591086 & 0.178019276169386 \tabularnewline
0.89 & 117.961153423906 & 0.150445081216275 \tabularnewline
0.9 & 118.003798221001 & 0.131183524818042 \tabularnewline
0.91 & 118.04584330308 & 0.120588767083265 \tabularnewline
0.92 & 118.090917676633 & 0.121408224505965 \tabularnewline
0.93 & 118.143084596147 & 0.136035904838979 \tabularnewline
0.94 & 118.205781017705 & 0.161097435763751 \tabularnewline
0.95 & 118.2800367783 & 0.185029013925552 \tabularnewline
0.96 & 118.362914151977 & 0.191996617339135 \tabularnewline
0.97 & 118.447556166522 & 0.171104314832479 \tabularnewline
0.98 & 118.525044322436 & 0.129059480872548 \tabularnewline
0.99 & 118.585851753158 & 0.0949633085044573 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207458&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]105.851841667653[/C][C]0.2920237260136[/C][/ROW]
[ROW][C]0.02[/C][C]105.9989044286[/C][C]0.244743119428943[/C][/ROW]
[ROW][C]0.03[/C][C]106.144872256787[/C][C]0.230267484355133[/C][/ROW]
[ROW][C]0.04[/C][C]106.272362175276[/C][C]0.226046722590903[/C][/ROW]
[ROW][C]0.05[/C][C]106.380318707573[/C][C]0.212340659534369[/C][/ROW]
[ROW][C]0.06[/C][C]106.471639918664[/C][C]0.192780184901583[/C][/ROW]
[ROW][C]0.07[/C][C]106.550158293116[/C][C]0.181192514955259[/C][/ROW]
[ROW][C]0.08[/C][C]106.620758165697[/C][C]0.187506987968985[/C][/ROW]
[ROW][C]0.09[/C][C]106.688763018081[/C][C]0.210800216003044[/C][/ROW]
[ROW][C]0.1[/C][C]106.758641647071[/C][C]0.242928012606004[/C][/ROW]
[ROW][C]0.11[/C][C]106.833061682566[/C][C]0.275582812368453[/C][/ROW]
[ROW][C]0.12[/C][C]106.912764074709[/C][C]0.3034493033228[/C][/ROW]
[ROW][C]0.13[/C][C]106.997113684555[/C][C]0.324555880213725[/C][/ROW]
[ROW][C]0.14[/C][C]107.084930451002[/C][C]0.340408939710894[/C][/ROW]
[ROW][C]0.15[/C][C]107.175237771291[/C][C]0.354592094182998[/C][/ROW]
[ROW][C]0.16[/C][C]107.267714334391[/C][C]0.371434297854203[/C][/ROW]
[ROW][C]0.17[/C][C]107.362794354731[/C][C]0.394400789844998[/C][/ROW]
[ROW][C]0.18[/C][C]107.46147908239[/C][C]0.425044759882172[/C][/ROW]
[ROW][C]0.19[/C][C]107.564984452998[/C][C]0.462296570663613[/C][/ROW]
[ROW][C]0.2[/C][C]107.674359266594[/C][C]0.503362828147173[/C][/ROW]
[ROW][C]0.21[/C][C]107.790179333962[/C][C]0.544728254400276[/C][/ROW]
[ROW][C]0.22[/C][C]107.912374706772[/C][C]0.5829049178752[/C][/ROW]
[ROW][C]0.23[/C][C]108.040198380954[/C][C]0.614734080352561[/C][/ROW]
[ROW][C]0.24[/C][C]108.172309675395[/C][C]0.637947202235983[/C][/ROW]
[ROW][C]0.25[/C][C]108.306929760845[/C][C]0.65133790313005[/C][/ROW]
[ROW][C]0.26[/C][C]108.442028440878[/C][C]0.653882078209939[/C][/ROW]
[ROW][C]0.27[/C][C]108.575512929605[/C][C]0.646057637790163[/C][/ROW]
[ROW][C]0.28[/C][C]108.705402603317[/C][C]0.62828315012439[/C][/ROW]
[ROW][C]0.29[/C][C]108.829982607324[/C][C]0.602023327832827[/C][/ROW]
[ROW][C]0.3[/C][C]108.947932039827[/C][C]0.56918674122441[/C][/ROW]
[ROW][C]0.31[/C][C]109.05842112863[/C][C]0.532579116467651[/C][/ROW]
[ROW][C]0.32[/C][C]109.161169940978[/C][C]0.495184134056674[/C][/ROW]
[ROW][C]0.33[/C][C]109.25646173469[/C][C]0.460015124943533[/C][/ROW]
[ROW][C]0.34[/C][C]109.345108114276[/C][C]0.430106282221295[/C][/ROW]
[ROW][C]0.35[/C][C]109.428369626761[/C][C]0.408234754583622[/C][/ROW]
[ROW][C]0.36[/C][C]109.507842014081[/C][C]0.396143917057624[/C][/ROW]
[ROW][C]0.37[/C][C]109.585322771792[/C][C]0.394796246202222[/C][/ROW]
[ROW][C]0.38[/C][C]109.662673738368[/C][C]0.403920623961639[/C][/ROW]
[ROW][C]0.39[/C][C]109.741693340908[/C][C]0.42292496115102[/C][/ROW]
[ROW][C]0.4[/C][C]109.824008099413[/C][C]0.45021829642175[/C][/ROW]
[ROW][C]0.41[/C][C]109.910988631234[/C][C]0.483863057875614[/C][/ROW]
[ROW][C]0.42[/C][C]110.003691914044[/C][C]0.52183833496021[/C][/ROW]
[ROW][C]0.43[/C][C]110.102829405461[/C][C]0.562176029674467[/C][/ROW]
[ROW][C]0.44[/C][C]110.208759495458[/C][C]0.602773201500156[/C][/ROW]
[ROW][C]0.45[/C][C]110.321502040254[/C][C]0.641787895757562[/C][/ROW]
[ROW][C]0.46[/C][C]110.440771861888[/C][C]0.677760498637501[/C][/ROW]
[ROW][C]0.47[/C][C]110.566027004039[/C][C]0.709413614378138[/C][/ROW]
[ROW][C]0.48[/C][C]110.696526594452[/C][C]0.735919423384353[/C][/ROW]
[ROW][C]0.49[/C][C]110.831392987388[/C][C]0.756915880513775[/C][/ROW]
[ROW][C]0.5[/C][C]110.969673894491[/C][C]0.772266322750141[/C][/ROW]
[ROW][C]0.51[/C][C]111.110402423431[/C][C]0.782049120685959[/C][/ROW]
[ROW][C]0.52[/C][C]111.252655715514[/C][C]0.786624616035937[/C][/ROW]
[ROW][C]0.53[/C][C]111.395615197721[/C][C]0.786614865020498[/C][/ROW]
[ROW][C]0.54[/C][C]111.53863232059[/C][C]0.782794532081712[/C][/ROW]
[ROW][C]0.55[/C][C]111.681302410387[/C][C]0.776629838626678[/C][/ROW]
[ROW][C]0.56[/C][C]111.823545928864[/C][C]0.769737480602274[/C][/ROW]
[ROW][C]0.57[/C][C]111.965691648396[/C][C]0.764546544975381[/C][/ROW]
[ROW][C]0.58[/C][C]112.108551071648[/C][C]0.764091144237615[/C][/ROW]
[ROW][C]0.59[/C][C]112.253469020591[/C][C]0.771539605795309[/C][/ROW]
[ROW][C]0.6[/C][C]112.402332732286[/C][C]0.790352778523964[/C][/ROW]
[ROW][C]0.61[/C][C]112.55752186727[/C][C]0.823485549140991[/C][/ROW]
[ROW][C]0.62[/C][C]112.721785234919[/C][C]0.872958472504126[/C][/ROW]
[ROW][C]0.63[/C][C]112.898037291583[/C][C]0.939205775009168[/C][/ROW]
[ROW][C]0.64[/C][C]113.089078768951[/C][C]1.02069876629944[/C][/ROW]
[ROW][C]0.65[/C][C]113.297260598924[/C][C]1.11391529333781[/C][/ROW]
[ROW][C]0.66[/C][C]113.524126813371[/C][C]1.21304104300114[/C][/ROW]
[ROW][C]0.67[/C][C]113.770086944146[/C][C]1.31092732802341[/C][/ROW]
[ROW][C]0.68[/C][C]114.034176985544[/C][C]1.39919591241169[/C][/ROW]
[ROW][C]0.69[/C][C]114.313965391697[/C][C]1.46966843769152[/C][/ROW]
[ROW][C]0.7[/C][C]114.605643673124[/C][C]1.51521312957449[/C][/ROW]
[ROW][C]0.71[/C][C]114.904310295855[/C][C]1.53076827744657[/C][/ROW]
[ROW][C]0.72[/C][C]115.204416914378[/C][C]1.51428966440119[/C][/ROW]
[ROW][C]0.73[/C][C]115.500307073606[/C][C]1.46695372590003[/C][/ROW]
[ROW][C]0.74[/C][C]115.786751169012[/C][C]1.39305896899441[/C][/ROW]
[ROW][C]0.75[/C][C]116.059377811959[/C][C]1.29903811251824[/C][/ROW]
[ROW][C]0.76[/C][C]116.314925189038[/C][C]1.19234523345536[/C][/ROW]
[ROW][C]0.77[/C][C]116.551282308503[/C][C]1.08008337267191[/C][/ROW]
[ROW][C]0.78[/C][C]116.767346370576[/C][C]0.967846941806803[/C][/ROW]
[ROW][C]0.79[/C][C]116.962770888422[/C][C]0.859235073659573[/C][/ROW]
[ROW][C]0.8[/C][C]117.137702571882[/C][C]0.755594392843435[/C][/ROW]
[ROW][C]0.81[/C][C]117.292594001224[/C][C]0.657267579907504[/C][/ROW]
[ROW][C]0.82[/C][C]117.428136776445[/C][C]0.56409779193078[/C][/ROW]
[ROW][C]0.83[/C][C]117.545301887267[/C][C]0.476615031303768[/C][/ROW]
[ROW][C]0.84[/C][C]117.645424214817[/C][C]0.396147112041011[/C][/ROW]
[ROW][C]0.85[/C][C]117.730249180996[/C][C]0.324701898709867[/C][/ROW]
[ROW][C]0.86[/C][C]117.801883643647[/C][C]0.264107387433584[/C][/ROW]
[ROW][C]0.87[/C][C]117.862654124174[/C][C]0.215367076387482[/C][/ROW]
[ROW][C]0.88[/C][C]117.914947591086[/C][C]0.178019276169386[/C][/ROW]
[ROW][C]0.89[/C][C]117.961153423906[/C][C]0.150445081216275[/C][/ROW]
[ROW][C]0.9[/C][C]118.003798221001[/C][C]0.131183524818042[/C][/ROW]
[ROW][C]0.91[/C][C]118.04584330308[/C][C]0.120588767083265[/C][/ROW]
[ROW][C]0.92[/C][C]118.090917676633[/C][C]0.121408224505965[/C][/ROW]
[ROW][C]0.93[/C][C]118.143084596147[/C][C]0.136035904838979[/C][/ROW]
[ROW][C]0.94[/C][C]118.205781017705[/C][C]0.161097435763751[/C][/ROW]
[ROW][C]0.95[/C][C]118.2800367783[/C][C]0.185029013925552[/C][/ROW]
[ROW][C]0.96[/C][C]118.362914151977[/C][C]0.191996617339135[/C][/ROW]
[ROW][C]0.97[/C][C]118.447556166522[/C][C]0.171104314832479[/C][/ROW]
[ROW][C]0.98[/C][C]118.525044322436[/C][C]0.129059480872548[/C][/ROW]
[ROW][C]0.99[/C][C]118.585851753158[/C][C]0.0949633085044573[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207458&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207458&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
0.01105.8518416676530.2920237260136
0.02105.99890442860.244743119428943
0.03106.1448722567870.230267484355133
0.04106.2723621752760.226046722590903
0.05106.3803187075730.212340659534369
0.06106.4716399186640.192780184901583
0.07106.5501582931160.181192514955259
0.08106.6207581656970.187506987968985
0.09106.6887630180810.210800216003044
0.1106.7586416470710.242928012606004
0.11106.8330616825660.275582812368453
0.12106.9127640747090.3034493033228
0.13106.9971136845550.324555880213725
0.14107.0849304510020.340408939710894
0.15107.1752377712910.354592094182998
0.16107.2677143343910.371434297854203
0.17107.3627943547310.394400789844998
0.18107.461479082390.425044759882172
0.19107.5649844529980.462296570663613
0.2107.6743592665940.503362828147173
0.21107.7901793339620.544728254400276
0.22107.9123747067720.5829049178752
0.23108.0401983809540.614734080352561
0.24108.1723096753950.637947202235983
0.25108.3069297608450.65133790313005
0.26108.4420284408780.653882078209939
0.27108.5755129296050.646057637790163
0.28108.7054026033170.62828315012439
0.29108.8299826073240.602023327832827
0.3108.9479320398270.56918674122441
0.31109.058421128630.532579116467651
0.32109.1611699409780.495184134056674
0.33109.256461734690.460015124943533
0.34109.3451081142760.430106282221295
0.35109.4283696267610.408234754583622
0.36109.5078420140810.396143917057624
0.37109.5853227717920.394796246202222
0.38109.6626737383680.403920623961639
0.39109.7416933409080.42292496115102
0.4109.8240080994130.45021829642175
0.41109.9109886312340.483863057875614
0.42110.0036919140440.52183833496021
0.43110.1028294054610.562176029674467
0.44110.2087594954580.602773201500156
0.45110.3215020402540.641787895757562
0.46110.4407718618880.677760498637501
0.47110.5660270040390.709413614378138
0.48110.6965265944520.735919423384353
0.49110.8313929873880.756915880513775
0.5110.9696738944910.772266322750141
0.51111.1104024234310.782049120685959
0.52111.2526557155140.786624616035937
0.53111.3956151977210.786614865020498
0.54111.538632320590.782794532081712
0.55111.6813024103870.776629838626678
0.56111.8235459288640.769737480602274
0.57111.9656916483960.764546544975381
0.58112.1085510716480.764091144237615
0.59112.2534690205910.771539605795309
0.6112.4023327322860.790352778523964
0.61112.557521867270.823485549140991
0.62112.7217852349190.872958472504126
0.63112.8980372915830.939205775009168
0.64113.0890787689511.02069876629944
0.65113.2972605989241.11391529333781
0.66113.5241268133711.21304104300114
0.67113.7700869441461.31092732802341
0.68114.0341769855441.39919591241169
0.69114.3139653916971.46966843769152
0.7114.6056436731241.51521312957449
0.71114.9043102958551.53076827744657
0.72115.2044169143781.51428966440119
0.73115.5003070736061.46695372590003
0.74115.7867511690121.39305896899441
0.75116.0593778119591.29903811251824
0.76116.3149251890381.19234523345536
0.77116.5512823085031.08008337267191
0.78116.7673463705760.967846941806803
0.79116.9627708884220.859235073659573
0.8117.1377025718820.755594392843435
0.81117.2925940012240.657267579907504
0.82117.4281367764450.56409779193078
0.83117.5453018872670.476615031303768
0.84117.6454242148170.396147112041011
0.85117.7302491809960.324701898709867
0.86117.8018836436470.264107387433584
0.87117.8626541241740.215367076387482
0.88117.9149475910860.178019276169386
0.89117.9611534239060.150445081216275
0.9118.0037982210010.131183524818042
0.91118.045843303080.120588767083265
0.92118.0909176766330.121408224505965
0.93118.1430845961470.136035904838979
0.94118.2057810177050.161097435763751
0.95118.28003677830.185029013925552
0.96118.3629141519770.191996617339135
0.97118.4475561665220.171104314832479
0.98118.5250443224360.129059480872548
0.99118.5858517531580.0949633085044573


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')