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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 computationThu, 06 Oct 2016 22:57:42 +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/06/t1475791099vg9x4cxclaidupu.htm/, Retrieved Sat, 04 May 2024 10:42:27 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 04 May 2024 10:42:27 +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 
122,9
122,82
120,26
118,82
126,69
125,79
123,96
128,7
127,74
127,55
126,16
124,74
122,32
120,92
117,09
115,77
117,88
117,77
122,61
127,31
124,62
119,07
116,92
115,07
113,84
112,89
111,86
111,58
107,72
106,49
108,53
108,62
107,92
106,43
117,66
115,11
113,98
112,16
109,72
117,99
112,57
113,66
118,18
115,66
114,72
110,46
108,38
106,52
107,01
105,89
103,76
103,71
101,07
100,4
102,24
99,18
98,14
96,22
94,38
94,62
94,71
94,97
93,69
106,42
105,73
105,18
104,8
102,77
100,29
99,3
96,63
95,5

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0193.88745958838410.568676538078553
0.0294.1656268681450.44798464421013
0.0394.43775794277090.414217030897363
0.0494.68952424808820.498521005032546
0.0594.94703203856250.669558515546815
0.0695.23927271572130.887686715015992
0.0795.58308343458691.12197844258949
0.0895.98235261203611.34738753995928
0.0996.43158226157871.54433653660243
0.196.91972164840921.69966760705696
0.1197.43340297937691.80775200951059
0.1297.95954227489331.87205029680149
0.1398.48725487984731.90289318032073
0.1499.00894904559991.91438466344892
0.1599.52052381062731.91998028028187
0.16100.0207796346811.92863559891355
0.17100.5103338264361.94305791196495
0.18100.9904164406151.9603682868236
0.19101.4618762491441.97473504747073
0.2101.9245895656631.97950235825379
0.21102.3773063256951.96940633920931
0.22102.8178466752071.94119481871087
0.23103.2435041743121.89448802273521
0.24103.6515136548871.83048099118979
0.25104.0394795053311.7528387887953
0.26104.4057075698011.665439133865
0.27104.7494225137081.57366240707063
0.28105.0708751822881.48289295211241
0.29105.3713530603861.39841554593103
0.3105.6531077960591.32569455314724
0.31105.91921317361.26945260677671
0.32106.1733683724581.23318472578568
0.33106.4196648923091.21894698198738
0.34106.6623389627891.22707652031267
0.35106.9055319763481.25651818731339
0.36107.1530780674651.30475891803224
0.37107.4083309397691.36857496801901
0.38107.6740336213291.44414036475902
0.39107.9522278705721.52774744335454
0.4108.2441967168091.61558748064738
0.41108.5504347914481.70306674822255
0.42108.870645539291.78607100693309
0.43109.2037695922741.86014353984408
0.44109.5480517142751.9217660517449
0.45109.9011527749031.96746442568459
0.46110.2603077883381.99529524448429
0.47110.6225225396742.00443389345394
0.48110.9847923456451.99556933254572
0.49111.3443199626291.97041233971666
0.5111.6987076981321.93220349877415
0.51112.0461020569031.8847057706794
0.52112.3852767878821.83176951103896
0.53112.715649834181.77727010662664
0.54113.0372388969061.72450872949742
0.55113.3505670807151.67621101037016
0.56113.6565334874931.63389534598527
0.57113.9562640292551.59865758055664
0.58114.2509564561671.57013531715888
0.59114.5417322511181.54776059374228
0.6114.8295078022671.5299560098617
0.61115.1148983197861.51455675829853
0.62115.398169353611.49931348191157
0.63115.6792506742111.48199297118133
0.64115.9578236773281.4607957470462
0.65116.2334849824831.43525378024199
0.66116.5059755091971.40583967451244
0.67116.775447797661.37530161928627
0.68117.0427281001061.347444678028
0.69117.3095182088941.32815343897925
0.7117.5784794831151.32322480993526
0.71117.8531512863861.33827839413933
0.72118.1376790698971.37646160778033
0.73118.436361785651.43770774213395
0.74118.7530692535681.51777865630949
0.75119.0906197276131.60896985909976
0.76119.4502363669281.70083158589236
0.77119.8312083634131.78209676182132
0.78120.2308600631481.84231895932896
0.79120.6448771771491.87388587904055
0.8121.0679598249271.87324641788403
0.81121.4946850799671.84203663130407
0.82121.9203925961311.78644981306516
0.83122.3418823905191.71601826810948
0.84122.75775034571.64130622782183
0.85123.1682804626931.57086094097357
0.86123.5749357269281.50944718811185
0.87123.9795982840411.45688945356939
0.88124.3837626325011.40923687237354
0.89124.7878617747831.36040320238027
0.9125.1908193194821.30415581944108
0.91125.5898246972561.23513089252463
0.92125.9803204701761.14915567199053
0.93126.3563967681951.04349268892063
0.94126.7122826458570.917156029581178
0.95127.046123773950.77492053696225
0.96127.3663808406290.636143239513231
0.97127.6960092963170.551151058403575
0.98128.0589897519660.597087459808764
0.99128.4326789263940.774183625274939

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 93.8874595883841 & 0.568676538078553 \tabularnewline
0.02 & 94.165626868145 & 0.44798464421013 \tabularnewline
0.03 & 94.4377579427709 & 0.414217030897363 \tabularnewline
0.04 & 94.6895242480882 & 0.498521005032546 \tabularnewline
0.05 & 94.9470320385625 & 0.669558515546815 \tabularnewline
0.06 & 95.2392727157213 & 0.887686715015992 \tabularnewline
0.07 & 95.5830834345869 & 1.12197844258949 \tabularnewline
0.08 & 95.9823526120361 & 1.34738753995928 \tabularnewline
0.09 & 96.4315822615787 & 1.54433653660243 \tabularnewline
0.1 & 96.9197216484092 & 1.69966760705696 \tabularnewline
0.11 & 97.4334029793769 & 1.80775200951059 \tabularnewline
0.12 & 97.9595422748933 & 1.87205029680149 \tabularnewline
0.13 & 98.4872548798473 & 1.90289318032073 \tabularnewline
0.14 & 99.0089490455999 & 1.91438466344892 \tabularnewline
0.15 & 99.5205238106273 & 1.91998028028187 \tabularnewline
0.16 & 100.020779634681 & 1.92863559891355 \tabularnewline
0.17 & 100.510333826436 & 1.94305791196495 \tabularnewline
0.18 & 100.990416440615 & 1.9603682868236 \tabularnewline
0.19 & 101.461876249144 & 1.97473504747073 \tabularnewline
0.2 & 101.924589565663 & 1.97950235825379 \tabularnewline
0.21 & 102.377306325695 & 1.96940633920931 \tabularnewline
0.22 & 102.817846675207 & 1.94119481871087 \tabularnewline
0.23 & 103.243504174312 & 1.89448802273521 \tabularnewline
0.24 & 103.651513654887 & 1.83048099118979 \tabularnewline
0.25 & 104.039479505331 & 1.7528387887953 \tabularnewline
0.26 & 104.405707569801 & 1.665439133865 \tabularnewline
0.27 & 104.749422513708 & 1.57366240707063 \tabularnewline
0.28 & 105.070875182288 & 1.48289295211241 \tabularnewline
0.29 & 105.371353060386 & 1.39841554593103 \tabularnewline
0.3 & 105.653107796059 & 1.32569455314724 \tabularnewline
0.31 & 105.9192131736 & 1.26945260677671 \tabularnewline
0.32 & 106.173368372458 & 1.23318472578568 \tabularnewline
0.33 & 106.419664892309 & 1.21894698198738 \tabularnewline
0.34 & 106.662338962789 & 1.22707652031267 \tabularnewline
0.35 & 106.905531976348 & 1.25651818731339 \tabularnewline
0.36 & 107.153078067465 & 1.30475891803224 \tabularnewline
0.37 & 107.408330939769 & 1.36857496801901 \tabularnewline
0.38 & 107.674033621329 & 1.44414036475902 \tabularnewline
0.39 & 107.952227870572 & 1.52774744335454 \tabularnewline
0.4 & 108.244196716809 & 1.61558748064738 \tabularnewline
0.41 & 108.550434791448 & 1.70306674822255 \tabularnewline
0.42 & 108.87064553929 & 1.78607100693309 \tabularnewline
0.43 & 109.203769592274 & 1.86014353984408 \tabularnewline
0.44 & 109.548051714275 & 1.9217660517449 \tabularnewline
0.45 & 109.901152774903 & 1.96746442568459 \tabularnewline
0.46 & 110.260307788338 & 1.99529524448429 \tabularnewline
0.47 & 110.622522539674 & 2.00443389345394 \tabularnewline
0.48 & 110.984792345645 & 1.99556933254572 \tabularnewline
0.49 & 111.344319962629 & 1.97041233971666 \tabularnewline
0.5 & 111.698707698132 & 1.93220349877415 \tabularnewline
0.51 & 112.046102056903 & 1.8847057706794 \tabularnewline
0.52 & 112.385276787882 & 1.83176951103896 \tabularnewline
0.53 & 112.71564983418 & 1.77727010662664 \tabularnewline
0.54 & 113.037238896906 & 1.72450872949742 \tabularnewline
0.55 & 113.350567080715 & 1.67621101037016 \tabularnewline
0.56 & 113.656533487493 & 1.63389534598527 \tabularnewline
0.57 & 113.956264029255 & 1.59865758055664 \tabularnewline
0.58 & 114.250956456167 & 1.57013531715888 \tabularnewline
0.59 & 114.541732251118 & 1.54776059374228 \tabularnewline
0.6 & 114.829507802267 & 1.5299560098617 \tabularnewline
0.61 & 115.114898319786 & 1.51455675829853 \tabularnewline
0.62 & 115.39816935361 & 1.49931348191157 \tabularnewline
0.63 & 115.679250674211 & 1.48199297118133 \tabularnewline
0.64 & 115.957823677328 & 1.4607957470462 \tabularnewline
0.65 & 116.233484982483 & 1.43525378024199 \tabularnewline
0.66 & 116.505975509197 & 1.40583967451244 \tabularnewline
0.67 & 116.77544779766 & 1.37530161928627 \tabularnewline
0.68 & 117.042728100106 & 1.347444678028 \tabularnewline
0.69 & 117.309518208894 & 1.32815343897925 \tabularnewline
0.7 & 117.578479483115 & 1.32322480993526 \tabularnewline
0.71 & 117.853151286386 & 1.33827839413933 \tabularnewline
0.72 & 118.137679069897 & 1.37646160778033 \tabularnewline
0.73 & 118.43636178565 & 1.43770774213395 \tabularnewline
0.74 & 118.753069253568 & 1.51777865630949 \tabularnewline
0.75 & 119.090619727613 & 1.60896985909976 \tabularnewline
0.76 & 119.450236366928 & 1.70083158589236 \tabularnewline
0.77 & 119.831208363413 & 1.78209676182132 \tabularnewline
0.78 & 120.230860063148 & 1.84231895932896 \tabularnewline
0.79 & 120.644877177149 & 1.87388587904055 \tabularnewline
0.8 & 121.067959824927 & 1.87324641788403 \tabularnewline
0.81 & 121.494685079967 & 1.84203663130407 \tabularnewline
0.82 & 121.920392596131 & 1.78644981306516 \tabularnewline
0.83 & 122.341882390519 & 1.71601826810948 \tabularnewline
0.84 & 122.7577503457 & 1.64130622782183 \tabularnewline
0.85 & 123.168280462693 & 1.57086094097357 \tabularnewline
0.86 & 123.574935726928 & 1.50944718811185 \tabularnewline
0.87 & 123.979598284041 & 1.45688945356939 \tabularnewline
0.88 & 124.383762632501 & 1.40923687237354 \tabularnewline
0.89 & 124.787861774783 & 1.36040320238027 \tabularnewline
0.9 & 125.190819319482 & 1.30415581944108 \tabularnewline
0.91 & 125.589824697256 & 1.23513089252463 \tabularnewline
0.92 & 125.980320470176 & 1.14915567199053 \tabularnewline
0.93 & 126.356396768195 & 1.04349268892063 \tabularnewline
0.94 & 126.712282645857 & 0.917156029581178 \tabularnewline
0.95 & 127.04612377395 & 0.77492053696225 \tabularnewline
0.96 & 127.366380840629 & 0.636143239513231 \tabularnewline
0.97 & 127.696009296317 & 0.551151058403575 \tabularnewline
0.98 & 128.058989751966 & 0.597087459808764 \tabularnewline
0.99 & 128.432678926394 & 0.774183625274939 \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]93.8874595883841[/C][C]0.568676538078553[/C][/ROW]
[ROW][C]0.02[/C][C]94.165626868145[/C][C]0.44798464421013[/C][/ROW]
[ROW][C]0.03[/C][C]94.4377579427709[/C][C]0.414217030897363[/C][/ROW]
[ROW][C]0.04[/C][C]94.6895242480882[/C][C]0.498521005032546[/C][/ROW]
[ROW][C]0.05[/C][C]94.9470320385625[/C][C]0.669558515546815[/C][/ROW]
[ROW][C]0.06[/C][C]95.2392727157213[/C][C]0.887686715015992[/C][/ROW]
[ROW][C]0.07[/C][C]95.5830834345869[/C][C]1.12197844258949[/C][/ROW]
[ROW][C]0.08[/C][C]95.9823526120361[/C][C]1.34738753995928[/C][/ROW]
[ROW][C]0.09[/C][C]96.4315822615787[/C][C]1.54433653660243[/C][/ROW]
[ROW][C]0.1[/C][C]96.9197216484092[/C][C]1.69966760705696[/C][/ROW]
[ROW][C]0.11[/C][C]97.4334029793769[/C][C]1.80775200951059[/C][/ROW]
[ROW][C]0.12[/C][C]97.9595422748933[/C][C]1.87205029680149[/C][/ROW]
[ROW][C]0.13[/C][C]98.4872548798473[/C][C]1.90289318032073[/C][/ROW]
[ROW][C]0.14[/C][C]99.0089490455999[/C][C]1.91438466344892[/C][/ROW]
[ROW][C]0.15[/C][C]99.5205238106273[/C][C]1.91998028028187[/C][/ROW]
[ROW][C]0.16[/C][C]100.020779634681[/C][C]1.92863559891355[/C][/ROW]
[ROW][C]0.17[/C][C]100.510333826436[/C][C]1.94305791196495[/C][/ROW]
[ROW][C]0.18[/C][C]100.990416440615[/C][C]1.9603682868236[/C][/ROW]
[ROW][C]0.19[/C][C]101.461876249144[/C][C]1.97473504747073[/C][/ROW]
[ROW][C]0.2[/C][C]101.924589565663[/C][C]1.97950235825379[/C][/ROW]
[ROW][C]0.21[/C][C]102.377306325695[/C][C]1.96940633920931[/C][/ROW]
[ROW][C]0.22[/C][C]102.817846675207[/C][C]1.94119481871087[/C][/ROW]
[ROW][C]0.23[/C][C]103.243504174312[/C][C]1.89448802273521[/C][/ROW]
[ROW][C]0.24[/C][C]103.651513654887[/C][C]1.83048099118979[/C][/ROW]
[ROW][C]0.25[/C][C]104.039479505331[/C][C]1.7528387887953[/C][/ROW]
[ROW][C]0.26[/C][C]104.405707569801[/C][C]1.665439133865[/C][/ROW]
[ROW][C]0.27[/C][C]104.749422513708[/C][C]1.57366240707063[/C][/ROW]
[ROW][C]0.28[/C][C]105.070875182288[/C][C]1.48289295211241[/C][/ROW]
[ROW][C]0.29[/C][C]105.371353060386[/C][C]1.39841554593103[/C][/ROW]
[ROW][C]0.3[/C][C]105.653107796059[/C][C]1.32569455314724[/C][/ROW]
[ROW][C]0.31[/C][C]105.9192131736[/C][C]1.26945260677671[/C][/ROW]
[ROW][C]0.32[/C][C]106.173368372458[/C][C]1.23318472578568[/C][/ROW]
[ROW][C]0.33[/C][C]106.419664892309[/C][C]1.21894698198738[/C][/ROW]
[ROW][C]0.34[/C][C]106.662338962789[/C][C]1.22707652031267[/C][/ROW]
[ROW][C]0.35[/C][C]106.905531976348[/C][C]1.25651818731339[/C][/ROW]
[ROW][C]0.36[/C][C]107.153078067465[/C][C]1.30475891803224[/C][/ROW]
[ROW][C]0.37[/C][C]107.408330939769[/C][C]1.36857496801901[/C][/ROW]
[ROW][C]0.38[/C][C]107.674033621329[/C][C]1.44414036475902[/C][/ROW]
[ROW][C]0.39[/C][C]107.952227870572[/C][C]1.52774744335454[/C][/ROW]
[ROW][C]0.4[/C][C]108.244196716809[/C][C]1.61558748064738[/C][/ROW]
[ROW][C]0.41[/C][C]108.550434791448[/C][C]1.70306674822255[/C][/ROW]
[ROW][C]0.42[/C][C]108.87064553929[/C][C]1.78607100693309[/C][/ROW]
[ROW][C]0.43[/C][C]109.203769592274[/C][C]1.86014353984408[/C][/ROW]
[ROW][C]0.44[/C][C]109.548051714275[/C][C]1.9217660517449[/C][/ROW]
[ROW][C]0.45[/C][C]109.901152774903[/C][C]1.96746442568459[/C][/ROW]
[ROW][C]0.46[/C][C]110.260307788338[/C][C]1.99529524448429[/C][/ROW]
[ROW][C]0.47[/C][C]110.622522539674[/C][C]2.00443389345394[/C][/ROW]
[ROW][C]0.48[/C][C]110.984792345645[/C][C]1.99556933254572[/C][/ROW]
[ROW][C]0.49[/C][C]111.344319962629[/C][C]1.97041233971666[/C][/ROW]
[ROW][C]0.5[/C][C]111.698707698132[/C][C]1.93220349877415[/C][/ROW]
[ROW][C]0.51[/C][C]112.046102056903[/C][C]1.8847057706794[/C][/ROW]
[ROW][C]0.52[/C][C]112.385276787882[/C][C]1.83176951103896[/C][/ROW]
[ROW][C]0.53[/C][C]112.71564983418[/C][C]1.77727010662664[/C][/ROW]
[ROW][C]0.54[/C][C]113.037238896906[/C][C]1.72450872949742[/C][/ROW]
[ROW][C]0.55[/C][C]113.350567080715[/C][C]1.67621101037016[/C][/ROW]
[ROW][C]0.56[/C][C]113.656533487493[/C][C]1.63389534598527[/C][/ROW]
[ROW][C]0.57[/C][C]113.956264029255[/C][C]1.59865758055664[/C][/ROW]
[ROW][C]0.58[/C][C]114.250956456167[/C][C]1.57013531715888[/C][/ROW]
[ROW][C]0.59[/C][C]114.541732251118[/C][C]1.54776059374228[/C][/ROW]
[ROW][C]0.6[/C][C]114.829507802267[/C][C]1.5299560098617[/C][/ROW]
[ROW][C]0.61[/C][C]115.114898319786[/C][C]1.51455675829853[/C][/ROW]
[ROW][C]0.62[/C][C]115.39816935361[/C][C]1.49931348191157[/C][/ROW]
[ROW][C]0.63[/C][C]115.679250674211[/C][C]1.48199297118133[/C][/ROW]
[ROW][C]0.64[/C][C]115.957823677328[/C][C]1.4607957470462[/C][/ROW]
[ROW][C]0.65[/C][C]116.233484982483[/C][C]1.43525378024199[/C][/ROW]
[ROW][C]0.66[/C][C]116.505975509197[/C][C]1.40583967451244[/C][/ROW]
[ROW][C]0.67[/C][C]116.77544779766[/C][C]1.37530161928627[/C][/ROW]
[ROW][C]0.68[/C][C]117.042728100106[/C][C]1.347444678028[/C][/ROW]
[ROW][C]0.69[/C][C]117.309518208894[/C][C]1.32815343897925[/C][/ROW]
[ROW][C]0.7[/C][C]117.578479483115[/C][C]1.32322480993526[/C][/ROW]
[ROW][C]0.71[/C][C]117.853151286386[/C][C]1.33827839413933[/C][/ROW]
[ROW][C]0.72[/C][C]118.137679069897[/C][C]1.37646160778033[/C][/ROW]
[ROW][C]0.73[/C][C]118.43636178565[/C][C]1.43770774213395[/C][/ROW]
[ROW][C]0.74[/C][C]118.753069253568[/C][C]1.51777865630949[/C][/ROW]
[ROW][C]0.75[/C][C]119.090619727613[/C][C]1.60896985909976[/C][/ROW]
[ROW][C]0.76[/C][C]119.450236366928[/C][C]1.70083158589236[/C][/ROW]
[ROW][C]0.77[/C][C]119.831208363413[/C][C]1.78209676182132[/C][/ROW]
[ROW][C]0.78[/C][C]120.230860063148[/C][C]1.84231895932896[/C][/ROW]
[ROW][C]0.79[/C][C]120.644877177149[/C][C]1.87388587904055[/C][/ROW]
[ROW][C]0.8[/C][C]121.067959824927[/C][C]1.87324641788403[/C][/ROW]
[ROW][C]0.81[/C][C]121.494685079967[/C][C]1.84203663130407[/C][/ROW]
[ROW][C]0.82[/C][C]121.920392596131[/C][C]1.78644981306516[/C][/ROW]
[ROW][C]0.83[/C][C]122.341882390519[/C][C]1.71601826810948[/C][/ROW]
[ROW][C]0.84[/C][C]122.7577503457[/C][C]1.64130622782183[/C][/ROW]
[ROW][C]0.85[/C][C]123.168280462693[/C][C]1.57086094097357[/C][/ROW]
[ROW][C]0.86[/C][C]123.574935726928[/C][C]1.50944718811185[/C][/ROW]
[ROW][C]0.87[/C][C]123.979598284041[/C][C]1.45688945356939[/C][/ROW]
[ROW][C]0.88[/C][C]124.383762632501[/C][C]1.40923687237354[/C][/ROW]
[ROW][C]0.89[/C][C]124.787861774783[/C][C]1.36040320238027[/C][/ROW]
[ROW][C]0.9[/C][C]125.190819319482[/C][C]1.30415581944108[/C][/ROW]
[ROW][C]0.91[/C][C]125.589824697256[/C][C]1.23513089252463[/C][/ROW]
[ROW][C]0.92[/C][C]125.980320470176[/C][C]1.14915567199053[/C][/ROW]
[ROW][C]0.93[/C][C]126.356396768195[/C][C]1.04349268892063[/C][/ROW]
[ROW][C]0.94[/C][C]126.712282645857[/C][C]0.917156029581178[/C][/ROW]
[ROW][C]0.95[/C][C]127.04612377395[/C][C]0.77492053696225[/C][/ROW]
[ROW][C]0.96[/C][C]127.366380840629[/C][C]0.636143239513231[/C][/ROW]
[ROW][C]0.97[/C][C]127.696009296317[/C][C]0.551151058403575[/C][/ROW]
[ROW][C]0.98[/C][C]128.058989751966[/C][C]0.597087459808764[/C][/ROW]
[ROW][C]0.99[/C][C]128.432678926394[/C][C]0.774183625274939[/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
0.0193.88745958838410.568676538078553
0.0294.1656268681450.44798464421013
0.0394.43775794277090.414217030897363
0.0494.68952424808820.498521005032546
0.0594.94703203856250.669558515546815
0.0695.23927271572130.887686715015992
0.0795.58308343458691.12197844258949
0.0895.98235261203611.34738753995928
0.0996.43158226157871.54433653660243
0.196.91972164840921.69966760705696
0.1197.43340297937691.80775200951059
0.1297.95954227489331.87205029680149
0.1398.48725487984731.90289318032073
0.1499.00894904559991.91438466344892
0.1599.52052381062731.91998028028187
0.16100.0207796346811.92863559891355
0.17100.5103338264361.94305791196495
0.18100.9904164406151.9603682868236
0.19101.4618762491441.97473504747073
0.2101.9245895656631.97950235825379
0.21102.3773063256951.96940633920931
0.22102.8178466752071.94119481871087
0.23103.2435041743121.89448802273521
0.24103.6515136548871.83048099118979
0.25104.0394795053311.7528387887953
0.26104.4057075698011.665439133865
0.27104.7494225137081.57366240707063
0.28105.0708751822881.48289295211241
0.29105.3713530603861.39841554593103
0.3105.6531077960591.32569455314724
0.31105.91921317361.26945260677671
0.32106.1733683724581.23318472578568
0.33106.4196648923091.21894698198738
0.34106.6623389627891.22707652031267
0.35106.9055319763481.25651818731339
0.36107.1530780674651.30475891803224
0.37107.4083309397691.36857496801901
0.38107.6740336213291.44414036475902
0.39107.9522278705721.52774744335454
0.4108.2441967168091.61558748064738
0.41108.5504347914481.70306674822255
0.42108.870645539291.78607100693309
0.43109.2037695922741.86014353984408
0.44109.5480517142751.9217660517449
0.45109.9011527749031.96746442568459
0.46110.2603077883381.99529524448429
0.47110.6225225396742.00443389345394
0.48110.9847923456451.99556933254572
0.49111.3443199626291.97041233971666
0.5111.6987076981321.93220349877415
0.51112.0461020569031.8847057706794
0.52112.3852767878821.83176951103896
0.53112.715649834181.77727010662664
0.54113.0372388969061.72450872949742
0.55113.3505670807151.67621101037016
0.56113.6565334874931.63389534598527
0.57113.9562640292551.59865758055664
0.58114.2509564561671.57013531715888
0.59114.5417322511181.54776059374228
0.6114.8295078022671.5299560098617
0.61115.1148983197861.51455675829853
0.62115.398169353611.49931348191157
0.63115.6792506742111.48199297118133
0.64115.9578236773281.4607957470462
0.65116.2334849824831.43525378024199
0.66116.5059755091971.40583967451244
0.67116.775447797661.37530161928627
0.68117.0427281001061.347444678028
0.69117.3095182088941.32815343897925
0.7117.5784794831151.32322480993526
0.71117.8531512863861.33827839413933
0.72118.1376790698971.37646160778033
0.73118.436361785651.43770774213395
0.74118.7530692535681.51777865630949
0.75119.0906197276131.60896985909976
0.76119.4502363669281.70083158589236
0.77119.8312083634131.78209676182132
0.78120.2308600631481.84231895932896
0.79120.6448771771491.87388587904055
0.8121.0679598249271.87324641788403
0.81121.4946850799671.84203663130407
0.82121.9203925961311.78644981306516
0.83122.3418823905191.71601826810948
0.84122.75775034571.64130622782183
0.85123.1682804626931.57086094097357
0.86123.5749357269281.50944718811185
0.87123.9795982840411.45688945356939
0.88124.3837626325011.40923687237354
0.89124.7878617747831.36040320238027
0.9125.1908193194821.30415581944108
0.91125.5898246972561.23513089252463
0.92125.9803204701761.14915567199053
0.93126.3563967681951.04349268892063
0.94126.7122826458570.917156029581178
0.95127.046123773950.77492053696225
0.96127.3663808406290.636143239513231
0.97127.6960092963170.551151058403575
0.98128.0589897519660.597087459808764
0.99128.4326789263940.774183625274939


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):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')