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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, 05 Oct 2016 15:41:38 +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/2016/Oct/05/t1475678516ymjbfpg2qrfr9r0.htm/, Retrieved Sun, 05 May 2024 12:58:23 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 05 May 2024 12:58:23 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
102,59
102,91
101,94
101,8
102,25
102,6
102,49
102,13
100,76
100,86
101,12
100,74
99,99
99,39
99,52
99,21
99,38
99,37
99,38
99,26
99,36
99,2
98,53
98,65
99,15
100,17
99,98
100,07
99,94
100,05
99,13
98,74
98,64
98,44
98,81
98,88
99,63
100,08
100,07
100,55
99,98
99,89
99,86
99,61
100,12
100,24
100,1
99,86
97,99
97,57
98,28
97,97
97,99
97,84
97,33
96,7
96,79
96,76
96,23
96,29
96,46
97,23
97,59
97,13
97,37
96,12
96,96
96,7
97
97,15
96,51
96,68

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=&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=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0196.15735302362910.104386791749246
0.0296.21766549125720.113221165626221
0.0396.28715457201390.133479969206113
0.0496.35859737849790.151089293040274
0.0596.42870902267550.158948402542073
0.0696.49528388315050.157800660405152
0.0796.55681670953490.151701664070698
0.0896.6129092237650.145311756693276
0.0996.66433113747820.142743243554718
0.196.71265574530160.146453548274099
0.1196.75973187243720.156288491782713
0.1296.80721800431110.170341659778653
0.1396.85629895763480.186266007611937
0.1496.90761282476740.202133888857376
0.1596.96134621045380.217079316677693
0.1697.01741745905560.23073104681383
0.1797.07566482281360.244058273522343
0.1897.13598091401920.257675066035343
0.1997.19836995235340.272163315267625
0.297.26293521916630.287900358587535
0.2197.32982250632630.304674148616859
0.2297.39915003079450.321951670954145
0.2397.47094968587190.338974986844334
0.2497.54513370762610.354991366087074
0.2597.6214895536720.369404143780889
0.2697.69969727567080.381689982544665
0.2797.77935942318640.39175436633726
0.2897.86003347319380.399401326087762
0.2997.94125972386110.404588750383965
0.398.0225817491710.407567672891403
0.3198.10356015805980.408148845790443
0.3298.18378237488010.406445970491433
0.3398.2628711375340.402625918390329
0.3498.3404928958710.396824453941811
0.3598.41636530063660.389403542125523
0.3698.49026157182220.380575798703786
0.3798.56200941809240.370867304656729
0.3898.63148342376840.360556001235416
0.3998.6985919144570.349803011169894
0.498.76326140847860.338410329721388
0.4198.82542303150510.326591990116009
0.4298.88500522077890.314061156063152
0.4398.94193566062260.30087744049904
0.4498.99615310057090.286845355819525
0.4599.04762718713360.272509585682943
0.4699.0963823660.257876455452239
0.4799.14252075590190.243823573407381
0.4899.18623883044720.230807882404893
0.4999.22783366241270.21947868304105
0.599.26769610036650.210561926888901
0.5199.30629021871470.204654832219602
0.5299.34412040374260.201767954664823
0.5399.38168927468840.201922167819071
0.5499.41945111106820.204691917871329
0.5599.45776640945820.209274568623465
0.5699.49686347591440.214742482380143
0.5799.53681245227420.220013459971317
0.5899.57751583313270.224328249383643
0.5999.61871745175130.22640786200956
0.699.66002936692150.225682305092006
0.6199.70097349314890.221987088125045
0.6299.74103268609230.215049521565289
0.6399.77970478653760.205303080252647
0.6499.81655313499430.193286010920453
0.6599.85124832786320.1795776397807
0.6699.88359822937570.165032897698059
0.6799.91356595660950.150700110394865
0.6899.94127804184840.137155632847787
0.6999.96702657355540.125495479028838
0.799.99126932295420.116273351413009
0.71100.0146305058360.110414435859081
0.72100.0379021814170.108824704999029
0.73100.062043110780.112088579906475
0.74100.0881693589710.121238374706225
0.75100.1175303744120.136481373013587
0.76100.1514667967880.157774179551269
0.77100.1913520203070.184807916740009
0.78100.2385272350760.216529054185683
0.79100.2942461126990.252089288995162
0.8100.3596459978160.290073279971618
0.81100.435753328490.329640572810351
0.82100.5235112039660.370322066370138
0.83100.6237919172340.411877955324298
0.84100.7373394467160.454238345420814
0.85100.8645928515590.496536735015414
0.86101.0053830359570.536064531150506
0.87101.158567904370.568462821389482
0.88101.3217456871140.588089260076041
0.89101.491214921630.589601962676501
0.9101.6622883822850.570072613980802
0.91101.8299161161430.530357475622921
0.92101.9894050877940.475102992134192
0.93102.1369889084670.410839713200504
0.94102.2702461991060.343412557536845
0.95102.3888347776510.2765055568463
0.96102.4961060823960.214790713933013
0.97102.6005646111690.173015765497131
0.98102.71213779620.181288224623159
0.99102.826885827640.242845045164293

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 96.1573530236291 & 0.104386791749246 \tabularnewline
0.02 & 96.2176654912572 & 0.113221165626221 \tabularnewline
0.03 & 96.2871545720139 & 0.133479969206113 \tabularnewline
0.04 & 96.3585973784979 & 0.151089293040274 \tabularnewline
0.05 & 96.4287090226755 & 0.158948402542073 \tabularnewline
0.06 & 96.4952838831505 & 0.157800660405152 \tabularnewline
0.07 & 96.5568167095349 & 0.151701664070698 \tabularnewline
0.08 & 96.612909223765 & 0.145311756693276 \tabularnewline
0.09 & 96.6643311374782 & 0.142743243554718 \tabularnewline
0.1 & 96.7126557453016 & 0.146453548274099 \tabularnewline
0.11 & 96.7597318724372 & 0.156288491782713 \tabularnewline
0.12 & 96.8072180043111 & 0.170341659778653 \tabularnewline
0.13 & 96.8562989576348 & 0.186266007611937 \tabularnewline
0.14 & 96.9076128247674 & 0.202133888857376 \tabularnewline
0.15 & 96.9613462104538 & 0.217079316677693 \tabularnewline
0.16 & 97.0174174590556 & 0.23073104681383 \tabularnewline
0.17 & 97.0756648228136 & 0.244058273522343 \tabularnewline
0.18 & 97.1359809140192 & 0.257675066035343 \tabularnewline
0.19 & 97.1983699523534 & 0.272163315267625 \tabularnewline
0.2 & 97.2629352191663 & 0.287900358587535 \tabularnewline
0.21 & 97.3298225063263 & 0.304674148616859 \tabularnewline
0.22 & 97.3991500307945 & 0.321951670954145 \tabularnewline
0.23 & 97.4709496858719 & 0.338974986844334 \tabularnewline
0.24 & 97.5451337076261 & 0.354991366087074 \tabularnewline
0.25 & 97.621489553672 & 0.369404143780889 \tabularnewline
0.26 & 97.6996972756708 & 0.381689982544665 \tabularnewline
0.27 & 97.7793594231864 & 0.39175436633726 \tabularnewline
0.28 & 97.8600334731938 & 0.399401326087762 \tabularnewline
0.29 & 97.9412597238611 & 0.404588750383965 \tabularnewline
0.3 & 98.022581749171 & 0.407567672891403 \tabularnewline
0.31 & 98.1035601580598 & 0.408148845790443 \tabularnewline
0.32 & 98.1837823748801 & 0.406445970491433 \tabularnewline
0.33 & 98.262871137534 & 0.402625918390329 \tabularnewline
0.34 & 98.340492895871 & 0.396824453941811 \tabularnewline
0.35 & 98.4163653006366 & 0.389403542125523 \tabularnewline
0.36 & 98.4902615718222 & 0.380575798703786 \tabularnewline
0.37 & 98.5620094180924 & 0.370867304656729 \tabularnewline
0.38 & 98.6314834237684 & 0.360556001235416 \tabularnewline
0.39 & 98.698591914457 & 0.349803011169894 \tabularnewline
0.4 & 98.7632614084786 & 0.338410329721388 \tabularnewline
0.41 & 98.8254230315051 & 0.326591990116009 \tabularnewline
0.42 & 98.8850052207789 & 0.314061156063152 \tabularnewline
0.43 & 98.9419356606226 & 0.30087744049904 \tabularnewline
0.44 & 98.9961531005709 & 0.286845355819525 \tabularnewline
0.45 & 99.0476271871336 & 0.272509585682943 \tabularnewline
0.46 & 99.096382366 & 0.257876455452239 \tabularnewline
0.47 & 99.1425207559019 & 0.243823573407381 \tabularnewline
0.48 & 99.1862388304472 & 0.230807882404893 \tabularnewline
0.49 & 99.2278336624127 & 0.21947868304105 \tabularnewline
0.5 & 99.2676961003665 & 0.210561926888901 \tabularnewline
0.51 & 99.3062902187147 & 0.204654832219602 \tabularnewline
0.52 & 99.3441204037426 & 0.201767954664823 \tabularnewline
0.53 & 99.3816892746884 & 0.201922167819071 \tabularnewline
0.54 & 99.4194511110682 & 0.204691917871329 \tabularnewline
0.55 & 99.4577664094582 & 0.209274568623465 \tabularnewline
0.56 & 99.4968634759144 & 0.214742482380143 \tabularnewline
0.57 & 99.5368124522742 & 0.220013459971317 \tabularnewline
0.58 & 99.5775158331327 & 0.224328249383643 \tabularnewline
0.59 & 99.6187174517513 & 0.22640786200956 \tabularnewline
0.6 & 99.6600293669215 & 0.225682305092006 \tabularnewline
0.61 & 99.7009734931489 & 0.221987088125045 \tabularnewline
0.62 & 99.7410326860923 & 0.215049521565289 \tabularnewline
0.63 & 99.7797047865376 & 0.205303080252647 \tabularnewline
0.64 & 99.8165531349943 & 0.193286010920453 \tabularnewline
0.65 & 99.8512483278632 & 0.1795776397807 \tabularnewline
0.66 & 99.8835982293757 & 0.165032897698059 \tabularnewline
0.67 & 99.9135659566095 & 0.150700110394865 \tabularnewline
0.68 & 99.9412780418484 & 0.137155632847787 \tabularnewline
0.69 & 99.9670265735554 & 0.125495479028838 \tabularnewline
0.7 & 99.9912693229542 & 0.116273351413009 \tabularnewline
0.71 & 100.014630505836 & 0.110414435859081 \tabularnewline
0.72 & 100.037902181417 & 0.108824704999029 \tabularnewline
0.73 & 100.06204311078 & 0.112088579906475 \tabularnewline
0.74 & 100.088169358971 & 0.121238374706225 \tabularnewline
0.75 & 100.117530374412 & 0.136481373013587 \tabularnewline
0.76 & 100.151466796788 & 0.157774179551269 \tabularnewline
0.77 & 100.191352020307 & 0.184807916740009 \tabularnewline
0.78 & 100.238527235076 & 0.216529054185683 \tabularnewline
0.79 & 100.294246112699 & 0.252089288995162 \tabularnewline
0.8 & 100.359645997816 & 0.290073279971618 \tabularnewline
0.81 & 100.43575332849 & 0.329640572810351 \tabularnewline
0.82 & 100.523511203966 & 0.370322066370138 \tabularnewline
0.83 & 100.623791917234 & 0.411877955324298 \tabularnewline
0.84 & 100.737339446716 & 0.454238345420814 \tabularnewline
0.85 & 100.864592851559 & 0.496536735015414 \tabularnewline
0.86 & 101.005383035957 & 0.536064531150506 \tabularnewline
0.87 & 101.15856790437 & 0.568462821389482 \tabularnewline
0.88 & 101.321745687114 & 0.588089260076041 \tabularnewline
0.89 & 101.49121492163 & 0.589601962676501 \tabularnewline
0.9 & 101.662288382285 & 0.570072613980802 \tabularnewline
0.91 & 101.829916116143 & 0.530357475622921 \tabularnewline
0.92 & 101.989405087794 & 0.475102992134192 \tabularnewline
0.93 & 102.136988908467 & 0.410839713200504 \tabularnewline
0.94 & 102.270246199106 & 0.343412557536845 \tabularnewline
0.95 & 102.388834777651 & 0.2765055568463 \tabularnewline
0.96 & 102.496106082396 & 0.214790713933013 \tabularnewline
0.97 & 102.600564611169 & 0.173015765497131 \tabularnewline
0.98 & 102.7121377962 & 0.181288224623159 \tabularnewline
0.99 & 102.82688582764 & 0.242845045164293 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]96.1573530236291[/C][C]0.104386791749246[/C][/ROW]
[ROW][C]0.02[/C][C]96.2176654912572[/C][C]0.113221165626221[/C][/ROW]
[ROW][C]0.03[/C][C]96.2871545720139[/C][C]0.133479969206113[/C][/ROW]
[ROW][C]0.04[/C][C]96.3585973784979[/C][C]0.151089293040274[/C][/ROW]
[ROW][C]0.05[/C][C]96.4287090226755[/C][C]0.158948402542073[/C][/ROW]
[ROW][C]0.06[/C][C]96.4952838831505[/C][C]0.157800660405152[/C][/ROW]
[ROW][C]0.07[/C][C]96.5568167095349[/C][C]0.151701664070698[/C][/ROW]
[ROW][C]0.08[/C][C]96.612909223765[/C][C]0.145311756693276[/C][/ROW]
[ROW][C]0.09[/C][C]96.6643311374782[/C][C]0.142743243554718[/C][/ROW]
[ROW][C]0.1[/C][C]96.7126557453016[/C][C]0.146453548274099[/C][/ROW]
[ROW][C]0.11[/C][C]96.7597318724372[/C][C]0.156288491782713[/C][/ROW]
[ROW][C]0.12[/C][C]96.8072180043111[/C][C]0.170341659778653[/C][/ROW]
[ROW][C]0.13[/C][C]96.8562989576348[/C][C]0.186266007611937[/C][/ROW]
[ROW][C]0.14[/C][C]96.9076128247674[/C][C]0.202133888857376[/C][/ROW]
[ROW][C]0.15[/C][C]96.9613462104538[/C][C]0.217079316677693[/C][/ROW]
[ROW][C]0.16[/C][C]97.0174174590556[/C][C]0.23073104681383[/C][/ROW]
[ROW][C]0.17[/C][C]97.0756648228136[/C][C]0.244058273522343[/C][/ROW]
[ROW][C]0.18[/C][C]97.1359809140192[/C][C]0.257675066035343[/C][/ROW]
[ROW][C]0.19[/C][C]97.1983699523534[/C][C]0.272163315267625[/C][/ROW]
[ROW][C]0.2[/C][C]97.2629352191663[/C][C]0.287900358587535[/C][/ROW]
[ROW][C]0.21[/C][C]97.3298225063263[/C][C]0.304674148616859[/C][/ROW]
[ROW][C]0.22[/C][C]97.3991500307945[/C][C]0.321951670954145[/C][/ROW]
[ROW][C]0.23[/C][C]97.4709496858719[/C][C]0.338974986844334[/C][/ROW]
[ROW][C]0.24[/C][C]97.5451337076261[/C][C]0.354991366087074[/C][/ROW]
[ROW][C]0.25[/C][C]97.621489553672[/C][C]0.369404143780889[/C][/ROW]
[ROW][C]0.26[/C][C]97.6996972756708[/C][C]0.381689982544665[/C][/ROW]
[ROW][C]0.27[/C][C]97.7793594231864[/C][C]0.39175436633726[/C][/ROW]
[ROW][C]0.28[/C][C]97.8600334731938[/C][C]0.399401326087762[/C][/ROW]
[ROW][C]0.29[/C][C]97.9412597238611[/C][C]0.404588750383965[/C][/ROW]
[ROW][C]0.3[/C][C]98.022581749171[/C][C]0.407567672891403[/C][/ROW]
[ROW][C]0.31[/C][C]98.1035601580598[/C][C]0.408148845790443[/C][/ROW]
[ROW][C]0.32[/C][C]98.1837823748801[/C][C]0.406445970491433[/C][/ROW]
[ROW][C]0.33[/C][C]98.262871137534[/C][C]0.402625918390329[/C][/ROW]
[ROW][C]0.34[/C][C]98.340492895871[/C][C]0.396824453941811[/C][/ROW]
[ROW][C]0.35[/C][C]98.4163653006366[/C][C]0.389403542125523[/C][/ROW]
[ROW][C]0.36[/C][C]98.4902615718222[/C][C]0.380575798703786[/C][/ROW]
[ROW][C]0.37[/C][C]98.5620094180924[/C][C]0.370867304656729[/C][/ROW]
[ROW][C]0.38[/C][C]98.6314834237684[/C][C]0.360556001235416[/C][/ROW]
[ROW][C]0.39[/C][C]98.698591914457[/C][C]0.349803011169894[/C][/ROW]
[ROW][C]0.4[/C][C]98.7632614084786[/C][C]0.338410329721388[/C][/ROW]
[ROW][C]0.41[/C][C]98.8254230315051[/C][C]0.326591990116009[/C][/ROW]
[ROW][C]0.42[/C][C]98.8850052207789[/C][C]0.314061156063152[/C][/ROW]
[ROW][C]0.43[/C][C]98.9419356606226[/C][C]0.30087744049904[/C][/ROW]
[ROW][C]0.44[/C][C]98.9961531005709[/C][C]0.286845355819525[/C][/ROW]
[ROW][C]0.45[/C][C]99.0476271871336[/C][C]0.272509585682943[/C][/ROW]
[ROW][C]0.46[/C][C]99.096382366[/C][C]0.257876455452239[/C][/ROW]
[ROW][C]0.47[/C][C]99.1425207559019[/C][C]0.243823573407381[/C][/ROW]
[ROW][C]0.48[/C][C]99.1862388304472[/C][C]0.230807882404893[/C][/ROW]
[ROW][C]0.49[/C][C]99.2278336624127[/C][C]0.21947868304105[/C][/ROW]
[ROW][C]0.5[/C][C]99.2676961003665[/C][C]0.210561926888901[/C][/ROW]
[ROW][C]0.51[/C][C]99.3062902187147[/C][C]0.204654832219602[/C][/ROW]
[ROW][C]0.52[/C][C]99.3441204037426[/C][C]0.201767954664823[/C][/ROW]
[ROW][C]0.53[/C][C]99.3816892746884[/C][C]0.201922167819071[/C][/ROW]
[ROW][C]0.54[/C][C]99.4194511110682[/C][C]0.204691917871329[/C][/ROW]
[ROW][C]0.55[/C][C]99.4577664094582[/C][C]0.209274568623465[/C][/ROW]
[ROW][C]0.56[/C][C]99.4968634759144[/C][C]0.214742482380143[/C][/ROW]
[ROW][C]0.57[/C][C]99.5368124522742[/C][C]0.220013459971317[/C][/ROW]
[ROW][C]0.58[/C][C]99.5775158331327[/C][C]0.224328249383643[/C][/ROW]
[ROW][C]0.59[/C][C]99.6187174517513[/C][C]0.22640786200956[/C][/ROW]
[ROW][C]0.6[/C][C]99.6600293669215[/C][C]0.225682305092006[/C][/ROW]
[ROW][C]0.61[/C][C]99.7009734931489[/C][C]0.221987088125045[/C][/ROW]
[ROW][C]0.62[/C][C]99.7410326860923[/C][C]0.215049521565289[/C][/ROW]
[ROW][C]0.63[/C][C]99.7797047865376[/C][C]0.205303080252647[/C][/ROW]
[ROW][C]0.64[/C][C]99.8165531349943[/C][C]0.193286010920453[/C][/ROW]
[ROW][C]0.65[/C][C]99.8512483278632[/C][C]0.1795776397807[/C][/ROW]
[ROW][C]0.66[/C][C]99.8835982293757[/C][C]0.165032897698059[/C][/ROW]
[ROW][C]0.67[/C][C]99.9135659566095[/C][C]0.150700110394865[/C][/ROW]
[ROW][C]0.68[/C][C]99.9412780418484[/C][C]0.137155632847787[/C][/ROW]
[ROW][C]0.69[/C][C]99.9670265735554[/C][C]0.125495479028838[/C][/ROW]
[ROW][C]0.7[/C][C]99.9912693229542[/C][C]0.116273351413009[/C][/ROW]
[ROW][C]0.71[/C][C]100.014630505836[/C][C]0.110414435859081[/C][/ROW]
[ROW][C]0.72[/C][C]100.037902181417[/C][C]0.108824704999029[/C][/ROW]
[ROW][C]0.73[/C][C]100.06204311078[/C][C]0.112088579906475[/C][/ROW]
[ROW][C]0.74[/C][C]100.088169358971[/C][C]0.121238374706225[/C][/ROW]
[ROW][C]0.75[/C][C]100.117530374412[/C][C]0.136481373013587[/C][/ROW]
[ROW][C]0.76[/C][C]100.151466796788[/C][C]0.157774179551269[/C][/ROW]
[ROW][C]0.77[/C][C]100.191352020307[/C][C]0.184807916740009[/C][/ROW]
[ROW][C]0.78[/C][C]100.238527235076[/C][C]0.216529054185683[/C][/ROW]
[ROW][C]0.79[/C][C]100.294246112699[/C][C]0.252089288995162[/C][/ROW]
[ROW][C]0.8[/C][C]100.359645997816[/C][C]0.290073279971618[/C][/ROW]
[ROW][C]0.81[/C][C]100.43575332849[/C][C]0.329640572810351[/C][/ROW]
[ROW][C]0.82[/C][C]100.523511203966[/C][C]0.370322066370138[/C][/ROW]
[ROW][C]0.83[/C][C]100.623791917234[/C][C]0.411877955324298[/C][/ROW]
[ROW][C]0.84[/C][C]100.737339446716[/C][C]0.454238345420814[/C][/ROW]
[ROW][C]0.85[/C][C]100.864592851559[/C][C]0.496536735015414[/C][/ROW]
[ROW][C]0.86[/C][C]101.005383035957[/C][C]0.536064531150506[/C][/ROW]
[ROW][C]0.87[/C][C]101.15856790437[/C][C]0.568462821389482[/C][/ROW]
[ROW][C]0.88[/C][C]101.321745687114[/C][C]0.588089260076041[/C][/ROW]
[ROW][C]0.89[/C][C]101.49121492163[/C][C]0.589601962676501[/C][/ROW]
[ROW][C]0.9[/C][C]101.662288382285[/C][C]0.570072613980802[/C][/ROW]
[ROW][C]0.91[/C][C]101.829916116143[/C][C]0.530357475622921[/C][/ROW]
[ROW][C]0.92[/C][C]101.989405087794[/C][C]0.475102992134192[/C][/ROW]
[ROW][C]0.93[/C][C]102.136988908467[/C][C]0.410839713200504[/C][/ROW]
[ROW][C]0.94[/C][C]102.270246199106[/C][C]0.343412557536845[/C][/ROW]
[ROW][C]0.95[/C][C]102.388834777651[/C][C]0.2765055568463[/C][/ROW]
[ROW][C]0.96[/C][C]102.496106082396[/C][C]0.214790713933013[/C][/ROW]
[ROW][C]0.97[/C][C]102.600564611169[/C][C]0.173015765497131[/C][/ROW]
[ROW][C]0.98[/C][C]102.7121377962[/C][C]0.181288224623159[/C][/ROW]
[ROW][C]0.99[/C][C]102.82688582764[/C][C]0.242845045164293[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0196.15735302362910.104386791749246
0.0296.21766549125720.113221165626221
0.0396.28715457201390.133479969206113
0.0496.35859737849790.151089293040274
0.0596.42870902267550.158948402542073
0.0696.49528388315050.157800660405152
0.0796.55681670953490.151701664070698
0.0896.6129092237650.145311756693276
0.0996.66433113747820.142743243554718
0.196.71265574530160.146453548274099
0.1196.75973187243720.156288491782713
0.1296.80721800431110.170341659778653
0.1396.85629895763480.186266007611937
0.1496.90761282476740.202133888857376
0.1596.96134621045380.217079316677693
0.1697.01741745905560.23073104681383
0.1797.07566482281360.244058273522343
0.1897.13598091401920.257675066035343
0.1997.19836995235340.272163315267625
0.297.26293521916630.287900358587535
0.2197.32982250632630.304674148616859
0.2297.39915003079450.321951670954145
0.2397.47094968587190.338974986844334
0.2497.54513370762610.354991366087074
0.2597.6214895536720.369404143780889
0.2697.69969727567080.381689982544665
0.2797.77935942318640.39175436633726
0.2897.86003347319380.399401326087762
0.2997.94125972386110.404588750383965
0.398.0225817491710.407567672891403
0.3198.10356015805980.408148845790443
0.3298.18378237488010.406445970491433
0.3398.2628711375340.402625918390329
0.3498.3404928958710.396824453941811
0.3598.41636530063660.389403542125523
0.3698.49026157182220.380575798703786
0.3798.56200941809240.370867304656729
0.3898.63148342376840.360556001235416
0.3998.6985919144570.349803011169894
0.498.76326140847860.338410329721388
0.4198.82542303150510.326591990116009
0.4298.88500522077890.314061156063152
0.4398.94193566062260.30087744049904
0.4498.99615310057090.286845355819525
0.4599.04762718713360.272509585682943
0.4699.0963823660.257876455452239
0.4799.14252075590190.243823573407381
0.4899.18623883044720.230807882404893
0.4999.22783366241270.21947868304105
0.599.26769610036650.210561926888901
0.5199.30629021871470.204654832219602
0.5299.34412040374260.201767954664823
0.5399.38168927468840.201922167819071
0.5499.41945111106820.204691917871329
0.5599.45776640945820.209274568623465
0.5699.49686347591440.214742482380143
0.5799.53681245227420.220013459971317
0.5899.57751583313270.224328249383643
0.5999.61871745175130.22640786200956
0.699.66002936692150.225682305092006
0.6199.70097349314890.221987088125045
0.6299.74103268609230.215049521565289
0.6399.77970478653760.205303080252647
0.6499.81655313499430.193286010920453
0.6599.85124832786320.1795776397807
0.6699.88359822937570.165032897698059
0.6799.91356595660950.150700110394865
0.6899.94127804184840.137155632847787
0.6999.96702657355540.125495479028838
0.799.99126932295420.116273351413009
0.71100.0146305058360.110414435859081
0.72100.0379021814170.108824704999029
0.73100.062043110780.112088579906475
0.74100.0881693589710.121238374706225
0.75100.1175303744120.136481373013587
0.76100.1514667967880.157774179551269
0.77100.1913520203070.184807916740009
0.78100.2385272350760.216529054185683
0.79100.2942461126990.252089288995162
0.8100.3596459978160.290073279971618
0.81100.435753328490.329640572810351
0.82100.5235112039660.370322066370138
0.83100.6237919172340.411877955324298
0.84100.7373394467160.454238345420814
0.85100.8645928515590.496536735015414
0.86101.0053830359570.536064531150506
0.87101.158567904370.568462821389482
0.88101.3217456871140.588089260076041
0.89101.491214921630.589601962676501
0.9101.6622883822850.570072613980802
0.91101.8299161161430.530357475622921
0.92101.9894050877940.475102992134192
0.93102.1369889084670.410839713200504
0.94102.2702461991060.343412557536845
0.95102.3888347776510.2765055568463
0.96102.4961060823960.214790713933013
0.97102.6005646111690.173015765497131
0.98102.71213779620.181288224623159
0.99102.826885827640.242845045164293


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')