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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 17:29:33 +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/t1444497486nwzkbwei95er41f.htm/, Retrieved Tue, 14 May 2024 08:06:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=282265, Retrieved Tue, 14 May 2024 08:06:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact94

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 16:29:33] [bd97b182bc123d4050d70da6fa7efb72] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
98,41
98,94
99,09
100,45
101,99
102,35
102,69
102,6
102,62
102,73
102,74
103,45
103,9
103,45
103,5
103,33
103,56
103,58
103,86
103,77
103,73
104,21
104,55
104,5
104,66
104,99
104,99
105,62
106,52
106,1
106,73
106,63
106,72
106,5
107,12
106,84
107,25
108,19
108,21
107,98
109,12
109,79
109,69
109,69
109,24
108,55
106,47
107,27
105,95
108,55
110,81
111,54
110,38
106,67
106,45
105,44
105,37
103,72
106,57
108,54
110,36
106,64
103,45
101,36
101,9
100,86
100,37
100,16
99,5
99,52
99,2
99,35
99,37
99,85
99,76
100,07
99,77
99,93
99,16
99,4
99,81
99,67
99,37
99,49
99,28
99,33
99,19
98,11
99,12
99,06
97,41
98,45
100,33
103,18
103,06
103,48
102,8
103,92
103,9
103,96
103,62
103,83
104,09
104,07
103,22
104,01
104,01
104,24

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'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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282265&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282265&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282265&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0197.75273291136540.521012409218285
0.0298.16371333845220.38100117381536
0.0398.472841173510.341380772275575
0.0498.69906671982270.312249961879495
0.0598.8699557940970.254531350274208
0.0698.99492276176010.188260068440479
0.0799.0828368038460.138948774234249
0.0899.14581128969140.113730859687217
0.0999.19496583766390.105860312954396
0.199.23767853455740.105768614389285
0.1199.2778455017570.108702113550137
0.1299.31737634045020.113838763789919
0.1399.35748418924030.122347120568478
0.1499.39932335864050.135167296237107
0.1599.44409987344370.152200214367618
0.1699.49294790227730.172947299765309
0.1799.54682485592510.196448901513824
0.1899.6065555921230.222850440601244
0.1999.67302687769810.253249333851079
0.299.74744404123080.2901442561716
0.2199.83153025444020.336407619902573
0.2299.92756709774320.394435603477198
0.23100.0382226441340.465397739223846
0.24100.166170833850.548184934881489
0.25100.3135609424030.639289854005316
0.26100.4814411004090.732560844738177
0.27100.6692676998880.819950260342551
0.28100.8746333201020.892935636483371
0.29101.0933111577390.943909874632138
0.3101.3196447293720.967677743883605
0.31101.5472233535930.962363908675295
0.32101.7697041671930.930086684049545
0.33101.9815989556940.876280014952461
0.34102.1788555778270.807915587502582
0.35102.3591256693520.733324645152514
0.36102.5217002106790.659096507938374
0.37102.6671810806620.590337288511892
0.38102.7970125770560.529265485024705
0.39102.9130086286090.476565130700991
0.4103.0169824807960.431180477082416
0.41103.1105323533840.391316532295367
0.42103.19498020570.355723191641561
0.43103.2714192684450.323556821650087
0.44103.3408087172490.294994505642013
0.45103.4040602232140.269811239650172
0.46103.4620831453970.248734198950444
0.47103.5157818036560.231735319528693
0.48103.566019846910.218593089123101
0.49103.6135775798420.208660624076407
0.5103.6591274442010.201303529103176
0.51103.7032436786480.196058567927324
0.52103.7464493153650.192759119370005
0.53103.7892917251060.191612977124526
0.54103.8324299726180.193681324176505
0.55103.8767144079990.199648341678915
0.56103.9232406887240.211224758738186
0.57103.9733653937080.229433923902415
0.58104.0286769572020.255479682591222
0.59104.0909224615280.289474767070842
0.6104.1618968718970.331153768294561
0.61104.2433058103660.379651082048686
0.62104.336615366180.433319633625886
0.63104.4429024466240.490133374230211
0.64104.5627171111020.547280631524944
0.65104.6959653854980.601772882648555
0.66104.8418191395950.650681553780751
0.67104.9986606340680.690489208742678
0.68105.164073965070.718102006374153
0.69105.3349021099890.730563658490156
0.7105.5073922603120.726183167958897
0.71105.6774481033310.703848280474256
0.72105.840991932360.664733286376704
0.73105.9944130458470.611377271310684
0.74106.1350490668620.548421682655415
0.75106.2616247003210.482047679035723
0.76106.3745677499940.419386001440187
0.77106.4761375105120.368045859913956
0.78106.5703290993850.334912889637276
0.79106.6625463090670.325452921026248
0.8106.7590553232340.341490609151834
0.81106.8662439289120.381209078844454
0.82106.9897318658430.438181521340177
0.83107.1334300274640.503680183881797
0.84107.2987373671520.566957206737673
0.85107.4841623698680.617360383730835
0.86107.6856757698040.646605850844575
0.87107.8979332190420.652128539617639
0.88108.1161039450880.638465846326198
0.89108.3375395943490.616272916992323
0.9108.5622872940960.596753085510033
0.91108.7919347046280.583745200982006
0.92109.0275246297780.570875044887422
0.93109.2684357213070.548124446440659
0.94109.5136735278060.514179789309966
0.95109.7647454032430.47906519175392
0.96110.0287518401380.450726564811468
0.97110.3252239686620.432282039877606
0.98110.6965966061180.457813245887346
0.99111.1644590612470.577992506981488

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 97.7527329113654 & 0.521012409218285 \tabularnewline
0.02 & 98.1637133384522 & 0.38100117381536 \tabularnewline
0.03 & 98.47284117351 & 0.341380772275575 \tabularnewline
0.04 & 98.6990667198227 & 0.312249961879495 \tabularnewline
0.05 & 98.869955794097 & 0.254531350274208 \tabularnewline
0.06 & 98.9949227617601 & 0.188260068440479 \tabularnewline
0.07 & 99.082836803846 & 0.138948774234249 \tabularnewline
0.08 & 99.1458112896914 & 0.113730859687217 \tabularnewline
0.09 & 99.1949658376639 & 0.105860312954396 \tabularnewline
0.1 & 99.2376785345574 & 0.105768614389285 \tabularnewline
0.11 & 99.277845501757 & 0.108702113550137 \tabularnewline
0.12 & 99.3173763404502 & 0.113838763789919 \tabularnewline
0.13 & 99.3574841892403 & 0.122347120568478 \tabularnewline
0.14 & 99.3993233586405 & 0.135167296237107 \tabularnewline
0.15 & 99.4440998734437 & 0.152200214367618 \tabularnewline
0.16 & 99.4929479022773 & 0.172947299765309 \tabularnewline
0.17 & 99.5468248559251 & 0.196448901513824 \tabularnewline
0.18 & 99.606555592123 & 0.222850440601244 \tabularnewline
0.19 & 99.6730268776981 & 0.253249333851079 \tabularnewline
0.2 & 99.7474440412308 & 0.2901442561716 \tabularnewline
0.21 & 99.8315302544402 & 0.336407619902573 \tabularnewline
0.22 & 99.9275670977432 & 0.394435603477198 \tabularnewline
0.23 & 100.038222644134 & 0.465397739223846 \tabularnewline
0.24 & 100.16617083385 & 0.548184934881489 \tabularnewline
0.25 & 100.313560942403 & 0.639289854005316 \tabularnewline
0.26 & 100.481441100409 & 0.732560844738177 \tabularnewline
0.27 & 100.669267699888 & 0.819950260342551 \tabularnewline
0.28 & 100.874633320102 & 0.892935636483371 \tabularnewline
0.29 & 101.093311157739 & 0.943909874632138 \tabularnewline
0.3 & 101.319644729372 & 0.967677743883605 \tabularnewline
0.31 & 101.547223353593 & 0.962363908675295 \tabularnewline
0.32 & 101.769704167193 & 0.930086684049545 \tabularnewline
0.33 & 101.981598955694 & 0.876280014952461 \tabularnewline
0.34 & 102.178855577827 & 0.807915587502582 \tabularnewline
0.35 & 102.359125669352 & 0.733324645152514 \tabularnewline
0.36 & 102.521700210679 & 0.659096507938374 \tabularnewline
0.37 & 102.667181080662 & 0.590337288511892 \tabularnewline
0.38 & 102.797012577056 & 0.529265485024705 \tabularnewline
0.39 & 102.913008628609 & 0.476565130700991 \tabularnewline
0.4 & 103.016982480796 & 0.431180477082416 \tabularnewline
0.41 & 103.110532353384 & 0.391316532295367 \tabularnewline
0.42 & 103.1949802057 & 0.355723191641561 \tabularnewline
0.43 & 103.271419268445 & 0.323556821650087 \tabularnewline
0.44 & 103.340808717249 & 0.294994505642013 \tabularnewline
0.45 & 103.404060223214 & 0.269811239650172 \tabularnewline
0.46 & 103.462083145397 & 0.248734198950444 \tabularnewline
0.47 & 103.515781803656 & 0.231735319528693 \tabularnewline
0.48 & 103.56601984691 & 0.218593089123101 \tabularnewline
0.49 & 103.613577579842 & 0.208660624076407 \tabularnewline
0.5 & 103.659127444201 & 0.201303529103176 \tabularnewline
0.51 & 103.703243678648 & 0.196058567927324 \tabularnewline
0.52 & 103.746449315365 & 0.192759119370005 \tabularnewline
0.53 & 103.789291725106 & 0.191612977124526 \tabularnewline
0.54 & 103.832429972618 & 0.193681324176505 \tabularnewline
0.55 & 103.876714407999 & 0.199648341678915 \tabularnewline
0.56 & 103.923240688724 & 0.211224758738186 \tabularnewline
0.57 & 103.973365393708 & 0.229433923902415 \tabularnewline
0.58 & 104.028676957202 & 0.255479682591222 \tabularnewline
0.59 & 104.090922461528 & 0.289474767070842 \tabularnewline
0.6 & 104.161896871897 & 0.331153768294561 \tabularnewline
0.61 & 104.243305810366 & 0.379651082048686 \tabularnewline
0.62 & 104.33661536618 & 0.433319633625886 \tabularnewline
0.63 & 104.442902446624 & 0.490133374230211 \tabularnewline
0.64 & 104.562717111102 & 0.547280631524944 \tabularnewline
0.65 & 104.695965385498 & 0.601772882648555 \tabularnewline
0.66 & 104.841819139595 & 0.650681553780751 \tabularnewline
0.67 & 104.998660634068 & 0.690489208742678 \tabularnewline
0.68 & 105.16407396507 & 0.718102006374153 \tabularnewline
0.69 & 105.334902109989 & 0.730563658490156 \tabularnewline
0.7 & 105.507392260312 & 0.726183167958897 \tabularnewline
0.71 & 105.677448103331 & 0.703848280474256 \tabularnewline
0.72 & 105.84099193236 & 0.664733286376704 \tabularnewline
0.73 & 105.994413045847 & 0.611377271310684 \tabularnewline
0.74 & 106.135049066862 & 0.548421682655415 \tabularnewline
0.75 & 106.261624700321 & 0.482047679035723 \tabularnewline
0.76 & 106.374567749994 & 0.419386001440187 \tabularnewline
0.77 & 106.476137510512 & 0.368045859913956 \tabularnewline
0.78 & 106.570329099385 & 0.334912889637276 \tabularnewline
0.79 & 106.662546309067 & 0.325452921026248 \tabularnewline
0.8 & 106.759055323234 & 0.341490609151834 \tabularnewline
0.81 & 106.866243928912 & 0.381209078844454 \tabularnewline
0.82 & 106.989731865843 & 0.438181521340177 \tabularnewline
0.83 & 107.133430027464 & 0.503680183881797 \tabularnewline
0.84 & 107.298737367152 & 0.566957206737673 \tabularnewline
0.85 & 107.484162369868 & 0.617360383730835 \tabularnewline
0.86 & 107.685675769804 & 0.646605850844575 \tabularnewline
0.87 & 107.897933219042 & 0.652128539617639 \tabularnewline
0.88 & 108.116103945088 & 0.638465846326198 \tabularnewline
0.89 & 108.337539594349 & 0.616272916992323 \tabularnewline
0.9 & 108.562287294096 & 0.596753085510033 \tabularnewline
0.91 & 108.791934704628 & 0.583745200982006 \tabularnewline
0.92 & 109.027524629778 & 0.570875044887422 \tabularnewline
0.93 & 109.268435721307 & 0.548124446440659 \tabularnewline
0.94 & 109.513673527806 & 0.514179789309966 \tabularnewline
0.95 & 109.764745403243 & 0.47906519175392 \tabularnewline
0.96 & 110.028751840138 & 0.450726564811468 \tabularnewline
0.97 & 110.325223968662 & 0.432282039877606 \tabularnewline
0.98 & 110.696596606118 & 0.457813245887346 \tabularnewline
0.99 & 111.164459061247 & 0.577992506981488 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282265&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]97.7527329113654[/C][C]0.521012409218285[/C][/ROW]
[ROW][C]0.02[/C][C]98.1637133384522[/C][C]0.38100117381536[/C][/ROW]
[ROW][C]0.03[/C][C]98.47284117351[/C][C]0.341380772275575[/C][/ROW]
[ROW][C]0.04[/C][C]98.6990667198227[/C][C]0.312249961879495[/C][/ROW]
[ROW][C]0.05[/C][C]98.869955794097[/C][C]0.254531350274208[/C][/ROW]
[ROW][C]0.06[/C][C]98.9949227617601[/C][C]0.188260068440479[/C][/ROW]
[ROW][C]0.07[/C][C]99.082836803846[/C][C]0.138948774234249[/C][/ROW]
[ROW][C]0.08[/C][C]99.1458112896914[/C][C]0.113730859687217[/C][/ROW]
[ROW][C]0.09[/C][C]99.1949658376639[/C][C]0.105860312954396[/C][/ROW]
[ROW][C]0.1[/C][C]99.2376785345574[/C][C]0.105768614389285[/C][/ROW]
[ROW][C]0.11[/C][C]99.277845501757[/C][C]0.108702113550137[/C][/ROW]
[ROW][C]0.12[/C][C]99.3173763404502[/C][C]0.113838763789919[/C][/ROW]
[ROW][C]0.13[/C][C]99.3574841892403[/C][C]0.122347120568478[/C][/ROW]
[ROW][C]0.14[/C][C]99.3993233586405[/C][C]0.135167296237107[/C][/ROW]
[ROW][C]0.15[/C][C]99.4440998734437[/C][C]0.152200214367618[/C][/ROW]
[ROW][C]0.16[/C][C]99.4929479022773[/C][C]0.172947299765309[/C][/ROW]
[ROW][C]0.17[/C][C]99.5468248559251[/C][C]0.196448901513824[/C][/ROW]
[ROW][C]0.18[/C][C]99.606555592123[/C][C]0.222850440601244[/C][/ROW]
[ROW][C]0.19[/C][C]99.6730268776981[/C][C]0.253249333851079[/C][/ROW]
[ROW][C]0.2[/C][C]99.7474440412308[/C][C]0.2901442561716[/C][/ROW]
[ROW][C]0.21[/C][C]99.8315302544402[/C][C]0.336407619902573[/C][/ROW]
[ROW][C]0.22[/C][C]99.9275670977432[/C][C]0.394435603477198[/C][/ROW]
[ROW][C]0.23[/C][C]100.038222644134[/C][C]0.465397739223846[/C][/ROW]
[ROW][C]0.24[/C][C]100.16617083385[/C][C]0.548184934881489[/C][/ROW]
[ROW][C]0.25[/C][C]100.313560942403[/C][C]0.639289854005316[/C][/ROW]
[ROW][C]0.26[/C][C]100.481441100409[/C][C]0.732560844738177[/C][/ROW]
[ROW][C]0.27[/C][C]100.669267699888[/C][C]0.819950260342551[/C][/ROW]
[ROW][C]0.28[/C][C]100.874633320102[/C][C]0.892935636483371[/C][/ROW]
[ROW][C]0.29[/C][C]101.093311157739[/C][C]0.943909874632138[/C][/ROW]
[ROW][C]0.3[/C][C]101.319644729372[/C][C]0.967677743883605[/C][/ROW]
[ROW][C]0.31[/C][C]101.547223353593[/C][C]0.962363908675295[/C][/ROW]
[ROW][C]0.32[/C][C]101.769704167193[/C][C]0.930086684049545[/C][/ROW]
[ROW][C]0.33[/C][C]101.981598955694[/C][C]0.876280014952461[/C][/ROW]
[ROW][C]0.34[/C][C]102.178855577827[/C][C]0.807915587502582[/C][/ROW]
[ROW][C]0.35[/C][C]102.359125669352[/C][C]0.733324645152514[/C][/ROW]
[ROW][C]0.36[/C][C]102.521700210679[/C][C]0.659096507938374[/C][/ROW]
[ROW][C]0.37[/C][C]102.667181080662[/C][C]0.590337288511892[/C][/ROW]
[ROW][C]0.38[/C][C]102.797012577056[/C][C]0.529265485024705[/C][/ROW]
[ROW][C]0.39[/C][C]102.913008628609[/C][C]0.476565130700991[/C][/ROW]
[ROW][C]0.4[/C][C]103.016982480796[/C][C]0.431180477082416[/C][/ROW]
[ROW][C]0.41[/C][C]103.110532353384[/C][C]0.391316532295367[/C][/ROW]
[ROW][C]0.42[/C][C]103.1949802057[/C][C]0.355723191641561[/C][/ROW]
[ROW][C]0.43[/C][C]103.271419268445[/C][C]0.323556821650087[/C][/ROW]
[ROW][C]0.44[/C][C]103.340808717249[/C][C]0.294994505642013[/C][/ROW]
[ROW][C]0.45[/C][C]103.404060223214[/C][C]0.269811239650172[/C][/ROW]
[ROW][C]0.46[/C][C]103.462083145397[/C][C]0.248734198950444[/C][/ROW]
[ROW][C]0.47[/C][C]103.515781803656[/C][C]0.231735319528693[/C][/ROW]
[ROW][C]0.48[/C][C]103.56601984691[/C][C]0.218593089123101[/C][/ROW]
[ROW][C]0.49[/C][C]103.613577579842[/C][C]0.208660624076407[/C][/ROW]
[ROW][C]0.5[/C][C]103.659127444201[/C][C]0.201303529103176[/C][/ROW]
[ROW][C]0.51[/C][C]103.703243678648[/C][C]0.196058567927324[/C][/ROW]
[ROW][C]0.52[/C][C]103.746449315365[/C][C]0.192759119370005[/C][/ROW]
[ROW][C]0.53[/C][C]103.789291725106[/C][C]0.191612977124526[/C][/ROW]
[ROW][C]0.54[/C][C]103.832429972618[/C][C]0.193681324176505[/C][/ROW]
[ROW][C]0.55[/C][C]103.876714407999[/C][C]0.199648341678915[/C][/ROW]
[ROW][C]0.56[/C][C]103.923240688724[/C][C]0.211224758738186[/C][/ROW]
[ROW][C]0.57[/C][C]103.973365393708[/C][C]0.229433923902415[/C][/ROW]
[ROW][C]0.58[/C][C]104.028676957202[/C][C]0.255479682591222[/C][/ROW]
[ROW][C]0.59[/C][C]104.090922461528[/C][C]0.289474767070842[/C][/ROW]
[ROW][C]0.6[/C][C]104.161896871897[/C][C]0.331153768294561[/C][/ROW]
[ROW][C]0.61[/C][C]104.243305810366[/C][C]0.379651082048686[/C][/ROW]
[ROW][C]0.62[/C][C]104.33661536618[/C][C]0.433319633625886[/C][/ROW]
[ROW][C]0.63[/C][C]104.442902446624[/C][C]0.490133374230211[/C][/ROW]
[ROW][C]0.64[/C][C]104.562717111102[/C][C]0.547280631524944[/C][/ROW]
[ROW][C]0.65[/C][C]104.695965385498[/C][C]0.601772882648555[/C][/ROW]
[ROW][C]0.66[/C][C]104.841819139595[/C][C]0.650681553780751[/C][/ROW]
[ROW][C]0.67[/C][C]104.998660634068[/C][C]0.690489208742678[/C][/ROW]
[ROW][C]0.68[/C][C]105.16407396507[/C][C]0.718102006374153[/C][/ROW]
[ROW][C]0.69[/C][C]105.334902109989[/C][C]0.730563658490156[/C][/ROW]
[ROW][C]0.7[/C][C]105.507392260312[/C][C]0.726183167958897[/C][/ROW]
[ROW][C]0.71[/C][C]105.677448103331[/C][C]0.703848280474256[/C][/ROW]
[ROW][C]0.72[/C][C]105.84099193236[/C][C]0.664733286376704[/C][/ROW]
[ROW][C]0.73[/C][C]105.994413045847[/C][C]0.611377271310684[/C][/ROW]
[ROW][C]0.74[/C][C]106.135049066862[/C][C]0.548421682655415[/C][/ROW]
[ROW][C]0.75[/C][C]106.261624700321[/C][C]0.482047679035723[/C][/ROW]
[ROW][C]0.76[/C][C]106.374567749994[/C][C]0.419386001440187[/C][/ROW]
[ROW][C]0.77[/C][C]106.476137510512[/C][C]0.368045859913956[/C][/ROW]
[ROW][C]0.78[/C][C]106.570329099385[/C][C]0.334912889637276[/C][/ROW]
[ROW][C]0.79[/C][C]106.662546309067[/C][C]0.325452921026248[/C][/ROW]
[ROW][C]0.8[/C][C]106.759055323234[/C][C]0.341490609151834[/C][/ROW]
[ROW][C]0.81[/C][C]106.866243928912[/C][C]0.381209078844454[/C][/ROW]
[ROW][C]0.82[/C][C]106.989731865843[/C][C]0.438181521340177[/C][/ROW]
[ROW][C]0.83[/C][C]107.133430027464[/C][C]0.503680183881797[/C][/ROW]
[ROW][C]0.84[/C][C]107.298737367152[/C][C]0.566957206737673[/C][/ROW]
[ROW][C]0.85[/C][C]107.484162369868[/C][C]0.617360383730835[/C][/ROW]
[ROW][C]0.86[/C][C]107.685675769804[/C][C]0.646605850844575[/C][/ROW]
[ROW][C]0.87[/C][C]107.897933219042[/C][C]0.652128539617639[/C][/ROW]
[ROW][C]0.88[/C][C]108.116103945088[/C][C]0.638465846326198[/C][/ROW]
[ROW][C]0.89[/C][C]108.337539594349[/C][C]0.616272916992323[/C][/ROW]
[ROW][C]0.9[/C][C]108.562287294096[/C][C]0.596753085510033[/C][/ROW]
[ROW][C]0.91[/C][C]108.791934704628[/C][C]0.583745200982006[/C][/ROW]
[ROW][C]0.92[/C][C]109.027524629778[/C][C]0.570875044887422[/C][/ROW]
[ROW][C]0.93[/C][C]109.268435721307[/C][C]0.548124446440659[/C][/ROW]
[ROW][C]0.94[/C][C]109.513673527806[/C][C]0.514179789309966[/C][/ROW]
[ROW][C]0.95[/C][C]109.764745403243[/C][C]0.47906519175392[/C][/ROW]
[ROW][C]0.96[/C][C]110.028751840138[/C][C]0.450726564811468[/C][/ROW]
[ROW][C]0.97[/C][C]110.325223968662[/C][C]0.432282039877606[/C][/ROW]
[ROW][C]0.98[/C][C]110.696596606118[/C][C]0.457813245887346[/C][/ROW]
[ROW][C]0.99[/C][C]111.164459061247[/C][C]0.577992506981488[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282265&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282265&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
0.0197.75273291136540.521012409218285
0.0298.16371333845220.38100117381536
0.0398.472841173510.341380772275575
0.0498.69906671982270.312249961879495
0.0598.8699557940970.254531350274208
0.0698.99492276176010.188260068440479
0.0799.0828368038460.138948774234249
0.0899.14581128969140.113730859687217
0.0999.19496583766390.105860312954396
0.199.23767853455740.105768614389285
0.1199.2778455017570.108702113550137
0.1299.31737634045020.113838763789919
0.1399.35748418924030.122347120568478
0.1499.39932335864050.135167296237107
0.1599.44409987344370.152200214367618
0.1699.49294790227730.172947299765309
0.1799.54682485592510.196448901513824
0.1899.6065555921230.222850440601244
0.1999.67302687769810.253249333851079
0.299.74744404123080.2901442561716
0.2199.83153025444020.336407619902573
0.2299.92756709774320.394435603477198
0.23100.0382226441340.465397739223846
0.24100.166170833850.548184934881489
0.25100.3135609424030.639289854005316
0.26100.4814411004090.732560844738177
0.27100.6692676998880.819950260342551
0.28100.8746333201020.892935636483371
0.29101.0933111577390.943909874632138
0.3101.3196447293720.967677743883605
0.31101.5472233535930.962363908675295
0.32101.7697041671930.930086684049545
0.33101.9815989556940.876280014952461
0.34102.1788555778270.807915587502582
0.35102.3591256693520.733324645152514
0.36102.5217002106790.659096507938374
0.37102.6671810806620.590337288511892
0.38102.7970125770560.529265485024705
0.39102.9130086286090.476565130700991
0.4103.0169824807960.431180477082416
0.41103.1105323533840.391316532295367
0.42103.19498020570.355723191641561
0.43103.2714192684450.323556821650087
0.44103.3408087172490.294994505642013
0.45103.4040602232140.269811239650172
0.46103.4620831453970.248734198950444
0.47103.5157818036560.231735319528693
0.48103.566019846910.218593089123101
0.49103.6135775798420.208660624076407
0.5103.6591274442010.201303529103176
0.51103.7032436786480.196058567927324
0.52103.7464493153650.192759119370005
0.53103.7892917251060.191612977124526
0.54103.8324299726180.193681324176505
0.55103.8767144079990.199648341678915
0.56103.9232406887240.211224758738186
0.57103.9733653937080.229433923902415
0.58104.0286769572020.255479682591222
0.59104.0909224615280.289474767070842
0.6104.1618968718970.331153768294561
0.61104.2433058103660.379651082048686
0.62104.336615366180.433319633625886
0.63104.4429024466240.490133374230211
0.64104.5627171111020.547280631524944
0.65104.6959653854980.601772882648555
0.66104.8418191395950.650681553780751
0.67104.9986606340680.690489208742678
0.68105.164073965070.718102006374153
0.69105.3349021099890.730563658490156
0.7105.5073922603120.726183167958897
0.71105.6774481033310.703848280474256
0.72105.840991932360.664733286376704
0.73105.9944130458470.611377271310684
0.74106.1350490668620.548421682655415
0.75106.2616247003210.482047679035723
0.76106.3745677499940.419386001440187
0.77106.4761375105120.368045859913956
0.78106.5703290993850.334912889637276
0.79106.6625463090670.325452921026248
0.8106.7590553232340.341490609151834
0.81106.8662439289120.381209078844454
0.82106.9897318658430.438181521340177
0.83107.1334300274640.503680183881797
0.84107.2987373671520.566957206737673
0.85107.4841623698680.617360383730835
0.86107.6856757698040.646605850844575
0.87107.8979332190420.652128539617639
0.88108.1161039450880.638465846326198
0.89108.3375395943490.616272916992323
0.9108.5622872940960.596753085510033
0.91108.7919347046280.583745200982006
0.92109.0275246297780.570875044887422
0.93109.2684357213070.548124446440659
0.94109.5136735278060.514179789309966
0.95109.7647454032430.47906519175392
0.96110.0287518401380.450726564811468
0.97110.3252239686620.432282039877606
0.98110.6965966061180.457813245887346
0.99111.1644590612470.577992506981488


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')