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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, 27 Feb 2016 16:18:05 +0000
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/Feb/27/t14565899469uokrv2hf06li3f.htm/, Retrieved Sat, 27 Apr 2024 06:55:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292897, Retrieved Sat, 27 Apr 2024 06:55:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsOpgave 4.2 - Harrell Davis werkloosheidsgraad
Estimated Impact104

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Opgave 1 - kwanti...] [2016-02-16 11:07:55] [74be16979710d4c4e7c6647856088456]
- RMPD    [Harrell-Davis Quantiles] [Opgave 4.2 - Harr...] [2016-02-27 16:18:05] [d36d23fecd6ad6dfd447f1d2ea855cae] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7,3
7,1
6,8
6,4
6,1
6,5
7,7
7,9
7,5
6,9
6,6
6,9
7,7
8
8
7,7
7,3
7,4
8,1
8,3
8,1
7,9
7,9
8,3
8,6
8,7
8,5
8,3
8
8
8,8
8,7
8,5
8,1
7,8
7,7
7,5
7,2
6,9
6,6
6,5
6,6
7,7
8
7,7
7,3
7
7
7,3
7,3
7,1
7,1
7
7
7,5
7,8
7,9
8,1
8,3
8,4
8,6
8,5
8,4
8,3
8
8
8,7
8,7
8,6
8,5
8,5
8,6
8,8
8,7
8,6
8,4
8,1
8,1
8,7
8,7
8,6
8,6
8,5
8,6

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 Maurice George Kendall' @ kendall.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 Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292897&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 Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292897&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292897&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 Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.201594396276380.231148689077663
0.026.330900815456140.154353543325107
0.036.432837938222410.106798721155791
0.046.503225474837690.0924413611394785
0.056.556554930623050.0989312327310394
0.066.604649374694240.114338737050195
0.076.653037989398220.130608859267324
0.086.702896021144620.141984609638223
0.096.753100290718580.145325293011988
0.16.801690084199130.14065623116131
0.116.846891594856460.130589498746562
0.126.887713390823720.118800627822271
0.136.924097421369770.108585317054454
0.146.956730815653310.101977125366988
0.156.98670418154890.0996362285260316
0.167.015180263345270.10114386133208
0.177.043159599418890.105450847164174
0.187.071359861934540.111305044255094
0.197.100189503990660.1175421252012
0.27.12978757515090.123270369331517
0.217.160103524547570.128026302170872
0.227.190993127292250.131761379785885
0.237.222307919976630.134831316611197
0.247.253958621039440.137785232725943
0.257.285940202747890.141157765396733
0.267.318316977829220.145237823108076
0.277.35117726153970.149936567286842
0.287.384575213773670.154815067835762
0.297.418479817782440.159168818079603
0.37.452747184465340.162276303842178
0.317.48712414492560.163575638279929
0.327.521281336680140.162788517771561
0.337.554865746699250.159963533303664
0.347.58755812705060.155476868095943
0.357.619120644302590.149935193999248
0.367.649423987242870.14400981719081
0.377.678449389667810.138339869037281
0.387.70626768143650.133340725117456
0.397.733002792357910.129188025439359
0.47.758789934923090.12576257324835
0.417.78373863500080.122764328343653
0.427.807908304325890.119800991107964
0.437.83130014739640.116505569753494
0.447.853865056492740.112626389657191
0.457.875523798433710.108072281864822
0.467.896193853978110.102924069090671
0.477.915816871849510.0974017899610728
0.487.934381584067850.0918379039976449
0.497.951938716877710.0866232066591218
0.57.968606400325380.08215792032996
0.517.98456638981020.0787943171961321
0.528.000052761235680.0768129742014687
0.538.015335470470330.0763502823068458
0.548.030701265110410.0774556656187051
0.558.046434031889290.0800211115924123
0.568.062796009130460.0838650446065997
0.578.080010702518230.0887256517695906
0.588.098248074367460.0942791196171517
0.598.117612716108080.10013627353066
0.68.138136100488410.105893488562625
0.618.159774283592370.111114086412076
0.628.182412194609720.11544261530873
0.638.205874715736060.118572770292879
0.648.229943282166120.120353638761744
0.658.254375254451330.120739483214648
0.668.278922523437420.119825988465625
0.678.303346211352130.117757779488133
0.688.327425945489240.114698696145747
0.698.350964409439980.110809685780195
0.78.373789707835130.106197052389076
0.718.395758529382730.100984188768944
0.728.416761726866060.0953039037865638
0.738.436731216218670.0893456684323254
0.748.455644346174470.0833613303513162
0.758.473520775768460.0776111604975064
0.768.490408642172810.0722917755909799
0.778.506361409312530.067445541599926
0.788.521412696935260.062951778858841
0.798.535560834978020.0585202303831568
0.88.548774953787080.0538904426690017
0.818.561028426291220.0489728006106827
0.828.572354112606580.0439757808626864
0.838.582902539965520.039452722196126
0.848.592974387835840.036233187984506
0.858.602998466574840.0351081874184746
0.868.613440025355150.036276434950132
0.878.624651384173910.038991045856764
0.888.636710182719480.0417381512859864
0.898.649315400347990.042860581203032
0.98.661811126326580.0411190307511307
0.918.673375615422080.0362085544854899
0.928.683361600573280.0289519540907347
0.938.691730099508990.0212280559271501
0.948.699482844807630.0160059604585763
0.958.708884019973710.0179316780340332
0.968.7229686972740.028629661263438
0.978.743628418991540.0422272724534096
0.988.76851378845010.0458518588499886
0.998.789881931805970.0275385604293109

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.20159439627638 & 0.231148689077663 \tabularnewline
0.02 & 6.33090081545614 & 0.154353543325107 \tabularnewline
0.03 & 6.43283793822241 & 0.106798721155791 \tabularnewline
0.04 & 6.50322547483769 & 0.0924413611394785 \tabularnewline
0.05 & 6.55655493062305 & 0.0989312327310394 \tabularnewline
0.06 & 6.60464937469424 & 0.114338737050195 \tabularnewline
0.07 & 6.65303798939822 & 0.130608859267324 \tabularnewline
0.08 & 6.70289602114462 & 0.141984609638223 \tabularnewline
0.09 & 6.75310029071858 & 0.145325293011988 \tabularnewline
0.1 & 6.80169008419913 & 0.14065623116131 \tabularnewline
0.11 & 6.84689159485646 & 0.130589498746562 \tabularnewline
0.12 & 6.88771339082372 & 0.118800627822271 \tabularnewline
0.13 & 6.92409742136977 & 0.108585317054454 \tabularnewline
0.14 & 6.95673081565331 & 0.101977125366988 \tabularnewline
0.15 & 6.9867041815489 & 0.0996362285260316 \tabularnewline
0.16 & 7.01518026334527 & 0.10114386133208 \tabularnewline
0.17 & 7.04315959941889 & 0.105450847164174 \tabularnewline
0.18 & 7.07135986193454 & 0.111305044255094 \tabularnewline
0.19 & 7.10018950399066 & 0.1175421252012 \tabularnewline
0.2 & 7.1297875751509 & 0.123270369331517 \tabularnewline
0.21 & 7.16010352454757 & 0.128026302170872 \tabularnewline
0.22 & 7.19099312729225 & 0.131761379785885 \tabularnewline
0.23 & 7.22230791997663 & 0.134831316611197 \tabularnewline
0.24 & 7.25395862103944 & 0.137785232725943 \tabularnewline
0.25 & 7.28594020274789 & 0.141157765396733 \tabularnewline
0.26 & 7.31831697782922 & 0.145237823108076 \tabularnewline
0.27 & 7.3511772615397 & 0.149936567286842 \tabularnewline
0.28 & 7.38457521377367 & 0.154815067835762 \tabularnewline
0.29 & 7.41847981778244 & 0.159168818079603 \tabularnewline
0.3 & 7.45274718446534 & 0.162276303842178 \tabularnewline
0.31 & 7.4871241449256 & 0.163575638279929 \tabularnewline
0.32 & 7.52128133668014 & 0.162788517771561 \tabularnewline
0.33 & 7.55486574669925 & 0.159963533303664 \tabularnewline
0.34 & 7.5875581270506 & 0.155476868095943 \tabularnewline
0.35 & 7.61912064430259 & 0.149935193999248 \tabularnewline
0.36 & 7.64942398724287 & 0.14400981719081 \tabularnewline
0.37 & 7.67844938966781 & 0.138339869037281 \tabularnewline
0.38 & 7.7062676814365 & 0.133340725117456 \tabularnewline
0.39 & 7.73300279235791 & 0.129188025439359 \tabularnewline
0.4 & 7.75878993492309 & 0.12576257324835 \tabularnewline
0.41 & 7.7837386350008 & 0.122764328343653 \tabularnewline
0.42 & 7.80790830432589 & 0.119800991107964 \tabularnewline
0.43 & 7.8313001473964 & 0.116505569753494 \tabularnewline
0.44 & 7.85386505649274 & 0.112626389657191 \tabularnewline
0.45 & 7.87552379843371 & 0.108072281864822 \tabularnewline
0.46 & 7.89619385397811 & 0.102924069090671 \tabularnewline
0.47 & 7.91581687184951 & 0.0974017899610728 \tabularnewline
0.48 & 7.93438158406785 & 0.0918379039976449 \tabularnewline
0.49 & 7.95193871687771 & 0.0866232066591218 \tabularnewline
0.5 & 7.96860640032538 & 0.08215792032996 \tabularnewline
0.51 & 7.9845663898102 & 0.0787943171961321 \tabularnewline
0.52 & 8.00005276123568 & 0.0768129742014687 \tabularnewline
0.53 & 8.01533547047033 & 0.0763502823068458 \tabularnewline
0.54 & 8.03070126511041 & 0.0774556656187051 \tabularnewline
0.55 & 8.04643403188929 & 0.0800211115924123 \tabularnewline
0.56 & 8.06279600913046 & 0.0838650446065997 \tabularnewline
0.57 & 8.08001070251823 & 0.0887256517695906 \tabularnewline
0.58 & 8.09824807436746 & 0.0942791196171517 \tabularnewline
0.59 & 8.11761271610808 & 0.10013627353066 \tabularnewline
0.6 & 8.13813610048841 & 0.105893488562625 \tabularnewline
0.61 & 8.15977428359237 & 0.111114086412076 \tabularnewline
0.62 & 8.18241219460972 & 0.11544261530873 \tabularnewline
0.63 & 8.20587471573606 & 0.118572770292879 \tabularnewline
0.64 & 8.22994328216612 & 0.120353638761744 \tabularnewline
0.65 & 8.25437525445133 & 0.120739483214648 \tabularnewline
0.66 & 8.27892252343742 & 0.119825988465625 \tabularnewline
0.67 & 8.30334621135213 & 0.117757779488133 \tabularnewline
0.68 & 8.32742594548924 & 0.114698696145747 \tabularnewline
0.69 & 8.35096440943998 & 0.110809685780195 \tabularnewline
0.7 & 8.37378970783513 & 0.106197052389076 \tabularnewline
0.71 & 8.39575852938273 & 0.100984188768944 \tabularnewline
0.72 & 8.41676172686606 & 0.0953039037865638 \tabularnewline
0.73 & 8.43673121621867 & 0.0893456684323254 \tabularnewline
0.74 & 8.45564434617447 & 0.0833613303513162 \tabularnewline
0.75 & 8.47352077576846 & 0.0776111604975064 \tabularnewline
0.76 & 8.49040864217281 & 0.0722917755909799 \tabularnewline
0.77 & 8.50636140931253 & 0.067445541599926 \tabularnewline
0.78 & 8.52141269693526 & 0.062951778858841 \tabularnewline
0.79 & 8.53556083497802 & 0.0585202303831568 \tabularnewline
0.8 & 8.54877495378708 & 0.0538904426690017 \tabularnewline
0.81 & 8.56102842629122 & 0.0489728006106827 \tabularnewline
0.82 & 8.57235411260658 & 0.0439757808626864 \tabularnewline
0.83 & 8.58290253996552 & 0.039452722196126 \tabularnewline
0.84 & 8.59297438783584 & 0.036233187984506 \tabularnewline
0.85 & 8.60299846657484 & 0.0351081874184746 \tabularnewline
0.86 & 8.61344002535515 & 0.036276434950132 \tabularnewline
0.87 & 8.62465138417391 & 0.038991045856764 \tabularnewline
0.88 & 8.63671018271948 & 0.0417381512859864 \tabularnewline
0.89 & 8.64931540034799 & 0.042860581203032 \tabularnewline
0.9 & 8.66181112632658 & 0.0411190307511307 \tabularnewline
0.91 & 8.67337561542208 & 0.0362085544854899 \tabularnewline
0.92 & 8.68336160057328 & 0.0289519540907347 \tabularnewline
0.93 & 8.69173009950899 & 0.0212280559271501 \tabularnewline
0.94 & 8.69948284480763 & 0.0160059604585763 \tabularnewline
0.95 & 8.70888401997371 & 0.0179316780340332 \tabularnewline
0.96 & 8.722968697274 & 0.028629661263438 \tabularnewline
0.97 & 8.74362841899154 & 0.0422272724534096 \tabularnewline
0.98 & 8.7685137884501 & 0.0458518588499886 \tabularnewline
0.99 & 8.78988193180597 & 0.0275385604293109 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292897&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]6.20159439627638[/C][C]0.231148689077663[/C][/ROW]
[ROW][C]0.02[/C][C]6.33090081545614[/C][C]0.154353543325107[/C][/ROW]
[ROW][C]0.03[/C][C]6.43283793822241[/C][C]0.106798721155791[/C][/ROW]
[ROW][C]0.04[/C][C]6.50322547483769[/C][C]0.0924413611394785[/C][/ROW]
[ROW][C]0.05[/C][C]6.55655493062305[/C][C]0.0989312327310394[/C][/ROW]
[ROW][C]0.06[/C][C]6.60464937469424[/C][C]0.114338737050195[/C][/ROW]
[ROW][C]0.07[/C][C]6.65303798939822[/C][C]0.130608859267324[/C][/ROW]
[ROW][C]0.08[/C][C]6.70289602114462[/C][C]0.141984609638223[/C][/ROW]
[ROW][C]0.09[/C][C]6.75310029071858[/C][C]0.145325293011988[/C][/ROW]
[ROW][C]0.1[/C][C]6.80169008419913[/C][C]0.14065623116131[/C][/ROW]
[ROW][C]0.11[/C][C]6.84689159485646[/C][C]0.130589498746562[/C][/ROW]
[ROW][C]0.12[/C][C]6.88771339082372[/C][C]0.118800627822271[/C][/ROW]
[ROW][C]0.13[/C][C]6.92409742136977[/C][C]0.108585317054454[/C][/ROW]
[ROW][C]0.14[/C][C]6.95673081565331[/C][C]0.101977125366988[/C][/ROW]
[ROW][C]0.15[/C][C]6.9867041815489[/C][C]0.0996362285260316[/C][/ROW]
[ROW][C]0.16[/C][C]7.01518026334527[/C][C]0.10114386133208[/C][/ROW]
[ROW][C]0.17[/C][C]7.04315959941889[/C][C]0.105450847164174[/C][/ROW]
[ROW][C]0.18[/C][C]7.07135986193454[/C][C]0.111305044255094[/C][/ROW]
[ROW][C]0.19[/C][C]7.10018950399066[/C][C]0.1175421252012[/C][/ROW]
[ROW][C]0.2[/C][C]7.1297875751509[/C][C]0.123270369331517[/C][/ROW]
[ROW][C]0.21[/C][C]7.16010352454757[/C][C]0.128026302170872[/C][/ROW]
[ROW][C]0.22[/C][C]7.19099312729225[/C][C]0.131761379785885[/C][/ROW]
[ROW][C]0.23[/C][C]7.22230791997663[/C][C]0.134831316611197[/C][/ROW]
[ROW][C]0.24[/C][C]7.25395862103944[/C][C]0.137785232725943[/C][/ROW]
[ROW][C]0.25[/C][C]7.28594020274789[/C][C]0.141157765396733[/C][/ROW]
[ROW][C]0.26[/C][C]7.31831697782922[/C][C]0.145237823108076[/C][/ROW]
[ROW][C]0.27[/C][C]7.3511772615397[/C][C]0.149936567286842[/C][/ROW]
[ROW][C]0.28[/C][C]7.38457521377367[/C][C]0.154815067835762[/C][/ROW]
[ROW][C]0.29[/C][C]7.41847981778244[/C][C]0.159168818079603[/C][/ROW]
[ROW][C]0.3[/C][C]7.45274718446534[/C][C]0.162276303842178[/C][/ROW]
[ROW][C]0.31[/C][C]7.4871241449256[/C][C]0.163575638279929[/C][/ROW]
[ROW][C]0.32[/C][C]7.52128133668014[/C][C]0.162788517771561[/C][/ROW]
[ROW][C]0.33[/C][C]7.55486574669925[/C][C]0.159963533303664[/C][/ROW]
[ROW][C]0.34[/C][C]7.5875581270506[/C][C]0.155476868095943[/C][/ROW]
[ROW][C]0.35[/C][C]7.61912064430259[/C][C]0.149935193999248[/C][/ROW]
[ROW][C]0.36[/C][C]7.64942398724287[/C][C]0.14400981719081[/C][/ROW]
[ROW][C]0.37[/C][C]7.67844938966781[/C][C]0.138339869037281[/C][/ROW]
[ROW][C]0.38[/C][C]7.7062676814365[/C][C]0.133340725117456[/C][/ROW]
[ROW][C]0.39[/C][C]7.73300279235791[/C][C]0.129188025439359[/C][/ROW]
[ROW][C]0.4[/C][C]7.75878993492309[/C][C]0.12576257324835[/C][/ROW]
[ROW][C]0.41[/C][C]7.7837386350008[/C][C]0.122764328343653[/C][/ROW]
[ROW][C]0.42[/C][C]7.80790830432589[/C][C]0.119800991107964[/C][/ROW]
[ROW][C]0.43[/C][C]7.8313001473964[/C][C]0.116505569753494[/C][/ROW]
[ROW][C]0.44[/C][C]7.85386505649274[/C][C]0.112626389657191[/C][/ROW]
[ROW][C]0.45[/C][C]7.87552379843371[/C][C]0.108072281864822[/C][/ROW]
[ROW][C]0.46[/C][C]7.89619385397811[/C][C]0.102924069090671[/C][/ROW]
[ROW][C]0.47[/C][C]7.91581687184951[/C][C]0.0974017899610728[/C][/ROW]
[ROW][C]0.48[/C][C]7.93438158406785[/C][C]0.0918379039976449[/C][/ROW]
[ROW][C]0.49[/C][C]7.95193871687771[/C][C]0.0866232066591218[/C][/ROW]
[ROW][C]0.5[/C][C]7.96860640032538[/C][C]0.08215792032996[/C][/ROW]
[ROW][C]0.51[/C][C]7.9845663898102[/C][C]0.0787943171961321[/C][/ROW]
[ROW][C]0.52[/C][C]8.00005276123568[/C][C]0.0768129742014687[/C][/ROW]
[ROW][C]0.53[/C][C]8.01533547047033[/C][C]0.0763502823068458[/C][/ROW]
[ROW][C]0.54[/C][C]8.03070126511041[/C][C]0.0774556656187051[/C][/ROW]
[ROW][C]0.55[/C][C]8.04643403188929[/C][C]0.0800211115924123[/C][/ROW]
[ROW][C]0.56[/C][C]8.06279600913046[/C][C]0.0838650446065997[/C][/ROW]
[ROW][C]0.57[/C][C]8.08001070251823[/C][C]0.0887256517695906[/C][/ROW]
[ROW][C]0.58[/C][C]8.09824807436746[/C][C]0.0942791196171517[/C][/ROW]
[ROW][C]0.59[/C][C]8.11761271610808[/C][C]0.10013627353066[/C][/ROW]
[ROW][C]0.6[/C][C]8.13813610048841[/C][C]0.105893488562625[/C][/ROW]
[ROW][C]0.61[/C][C]8.15977428359237[/C][C]0.111114086412076[/C][/ROW]
[ROW][C]0.62[/C][C]8.18241219460972[/C][C]0.11544261530873[/C][/ROW]
[ROW][C]0.63[/C][C]8.20587471573606[/C][C]0.118572770292879[/C][/ROW]
[ROW][C]0.64[/C][C]8.22994328216612[/C][C]0.120353638761744[/C][/ROW]
[ROW][C]0.65[/C][C]8.25437525445133[/C][C]0.120739483214648[/C][/ROW]
[ROW][C]0.66[/C][C]8.27892252343742[/C][C]0.119825988465625[/C][/ROW]
[ROW][C]0.67[/C][C]8.30334621135213[/C][C]0.117757779488133[/C][/ROW]
[ROW][C]0.68[/C][C]8.32742594548924[/C][C]0.114698696145747[/C][/ROW]
[ROW][C]0.69[/C][C]8.35096440943998[/C][C]0.110809685780195[/C][/ROW]
[ROW][C]0.7[/C][C]8.37378970783513[/C][C]0.106197052389076[/C][/ROW]
[ROW][C]0.71[/C][C]8.39575852938273[/C][C]0.100984188768944[/C][/ROW]
[ROW][C]0.72[/C][C]8.41676172686606[/C][C]0.0953039037865638[/C][/ROW]
[ROW][C]0.73[/C][C]8.43673121621867[/C][C]0.0893456684323254[/C][/ROW]
[ROW][C]0.74[/C][C]8.45564434617447[/C][C]0.0833613303513162[/C][/ROW]
[ROW][C]0.75[/C][C]8.47352077576846[/C][C]0.0776111604975064[/C][/ROW]
[ROW][C]0.76[/C][C]8.49040864217281[/C][C]0.0722917755909799[/C][/ROW]
[ROW][C]0.77[/C][C]8.50636140931253[/C][C]0.067445541599926[/C][/ROW]
[ROW][C]0.78[/C][C]8.52141269693526[/C][C]0.062951778858841[/C][/ROW]
[ROW][C]0.79[/C][C]8.53556083497802[/C][C]0.0585202303831568[/C][/ROW]
[ROW][C]0.8[/C][C]8.54877495378708[/C][C]0.0538904426690017[/C][/ROW]
[ROW][C]0.81[/C][C]8.56102842629122[/C][C]0.0489728006106827[/C][/ROW]
[ROW][C]0.82[/C][C]8.57235411260658[/C][C]0.0439757808626864[/C][/ROW]
[ROW][C]0.83[/C][C]8.58290253996552[/C][C]0.039452722196126[/C][/ROW]
[ROW][C]0.84[/C][C]8.59297438783584[/C][C]0.036233187984506[/C][/ROW]
[ROW][C]0.85[/C][C]8.60299846657484[/C][C]0.0351081874184746[/C][/ROW]
[ROW][C]0.86[/C][C]8.61344002535515[/C][C]0.036276434950132[/C][/ROW]
[ROW][C]0.87[/C][C]8.62465138417391[/C][C]0.038991045856764[/C][/ROW]
[ROW][C]0.88[/C][C]8.63671018271948[/C][C]0.0417381512859864[/C][/ROW]
[ROW][C]0.89[/C][C]8.64931540034799[/C][C]0.042860581203032[/C][/ROW]
[ROW][C]0.9[/C][C]8.66181112632658[/C][C]0.0411190307511307[/C][/ROW]
[ROW][C]0.91[/C][C]8.67337561542208[/C][C]0.0362085544854899[/C][/ROW]
[ROW][C]0.92[/C][C]8.68336160057328[/C][C]0.0289519540907347[/C][/ROW]
[ROW][C]0.93[/C][C]8.69173009950899[/C][C]0.0212280559271501[/C][/ROW]
[ROW][C]0.94[/C][C]8.69948284480763[/C][C]0.0160059604585763[/C][/ROW]
[ROW][C]0.95[/C][C]8.70888401997371[/C][C]0.0179316780340332[/C][/ROW]
[ROW][C]0.96[/C][C]8.722968697274[/C][C]0.028629661263438[/C][/ROW]
[ROW][C]0.97[/C][C]8.74362841899154[/C][C]0.0422272724534096[/C][/ROW]
[ROW][C]0.98[/C][C]8.7685137884501[/C][C]0.0458518588499886[/C][/ROW]
[ROW][C]0.99[/C][C]8.78988193180597[/C][C]0.0275385604293109[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292897&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292897&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
0.016.201594396276380.231148689077663
0.026.330900815456140.154353543325107
0.036.432837938222410.106798721155791
0.046.503225474837690.0924413611394785
0.056.556554930623050.0989312327310394
0.066.604649374694240.114338737050195
0.076.653037989398220.130608859267324
0.086.702896021144620.141984609638223
0.096.753100290718580.145325293011988
0.16.801690084199130.14065623116131
0.116.846891594856460.130589498746562
0.126.887713390823720.118800627822271
0.136.924097421369770.108585317054454
0.146.956730815653310.101977125366988
0.156.98670418154890.0996362285260316
0.167.015180263345270.10114386133208
0.177.043159599418890.105450847164174
0.187.071359861934540.111305044255094
0.197.100189503990660.1175421252012
0.27.12978757515090.123270369331517
0.217.160103524547570.128026302170872
0.227.190993127292250.131761379785885
0.237.222307919976630.134831316611197
0.247.253958621039440.137785232725943
0.257.285940202747890.141157765396733
0.267.318316977829220.145237823108076
0.277.35117726153970.149936567286842
0.287.384575213773670.154815067835762
0.297.418479817782440.159168818079603
0.37.452747184465340.162276303842178
0.317.48712414492560.163575638279929
0.327.521281336680140.162788517771561
0.337.554865746699250.159963533303664
0.347.58755812705060.155476868095943
0.357.619120644302590.149935193999248
0.367.649423987242870.14400981719081
0.377.678449389667810.138339869037281
0.387.70626768143650.133340725117456
0.397.733002792357910.129188025439359
0.47.758789934923090.12576257324835
0.417.78373863500080.122764328343653
0.427.807908304325890.119800991107964
0.437.83130014739640.116505569753494
0.447.853865056492740.112626389657191
0.457.875523798433710.108072281864822
0.467.896193853978110.102924069090671
0.477.915816871849510.0974017899610728
0.487.934381584067850.0918379039976449
0.497.951938716877710.0866232066591218
0.57.968606400325380.08215792032996
0.517.98456638981020.0787943171961321
0.528.000052761235680.0768129742014687
0.538.015335470470330.0763502823068458
0.548.030701265110410.0774556656187051
0.558.046434031889290.0800211115924123
0.568.062796009130460.0838650446065997
0.578.080010702518230.0887256517695906
0.588.098248074367460.0942791196171517
0.598.117612716108080.10013627353066
0.68.138136100488410.105893488562625
0.618.159774283592370.111114086412076
0.628.182412194609720.11544261530873
0.638.205874715736060.118572770292879
0.648.229943282166120.120353638761744
0.658.254375254451330.120739483214648
0.668.278922523437420.119825988465625
0.678.303346211352130.117757779488133
0.688.327425945489240.114698696145747
0.698.350964409439980.110809685780195
0.78.373789707835130.106197052389076
0.718.395758529382730.100984188768944
0.728.416761726866060.0953039037865638
0.738.436731216218670.0893456684323254
0.748.455644346174470.0833613303513162
0.758.473520775768460.0776111604975064
0.768.490408642172810.0722917755909799
0.778.506361409312530.067445541599926
0.788.521412696935260.062951778858841
0.798.535560834978020.0585202303831568
0.88.548774953787080.0538904426690017
0.818.561028426291220.0489728006106827
0.828.572354112606580.0439757808626864
0.838.582902539965520.039452722196126
0.848.592974387835840.036233187984506
0.858.602998466574840.0351081874184746
0.868.613440025355150.036276434950132
0.878.624651384173910.038991045856764
0.888.636710182719480.0417381512859864
0.898.649315400347990.042860581203032
0.98.661811126326580.0411190307511307
0.918.673375615422080.0362085544854899
0.928.683361600573280.0289519540907347
0.938.691730099508990.0212280559271501
0.948.699482844807630.0160059604585763
0.958.708884019973710.0179316780340332
0.968.7229686972740.028629661263438
0.978.743628418991540.0422272724534096
0.988.76851378845010.0458518588499886
0.998.789881931805970.0275385604293109


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')