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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 12:52:04 +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/t1456577558bbeclfnxgzsswgv.htm/, Retrieved Sat, 27 Apr 2024 09:18:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292865, Retrieved Sat, 27 Apr 2024 09:18:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact131

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] [] [2016-02-27 12:52:04] [52aea4735e848aa60c3226a1f3eea286] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-15
-15
-13
-8
-13
-9
-7
-4
-4
-2
0
-2
-3
1
-2
-1
1
-3
-4
-9
-9
-7
-14
-12
-16
-20
-12
-12
-10
-10
-13
-16
-14
-17
-24
-25
-23
-17
-24
-20
-19
-18
-16
-12
-7
-6
-6
-5
-4
-4
-8
-9
-6
-7
-10
-11
-11
-12
-14
-12
-9
-5
-6
-6
-3
-2
-6
-6
-10
-8
-4
-3

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=292865&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=292865&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292865&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
0.01-24.69918188012870.856988390345891
0.02-24.21738120926340.909997687210351
0.03-23.63195610972571.25907345375495
0.04-22.95909626474421.6768983841105
0.05-22.21020095302131.97204600573056
0.06-21.42107360650782.08780095584364
0.07-20.63891674169212.06140232128571
0.08-19.90151325485261.96133985520336
0.09-19.22846132880541.84051796475155
0.1-18.62392496267381.72253236735287
0.11-18.08342793598521.61184213690655
0.12-17.59933313953271.50836312499111
0.13-17.16355071429811.41459160357062
0.14-16.76829619381571.33537115967436
0.15-16.406143175061.27497741478988
0.16-16.07012011813131.23457364258994
0.17-15.75401865838351.21153227519886
0.18-15.45276730401671.2005660472923
0.19-15.16268016889721.19548833134258
0.2-14.88148346067311.1908414927498
0.21-14.60813292272571.18273266984792
0.22-14.34250237708291.16899241660597
0.23-14.08503659278791.14888954601591
0.24-13.8364375599621.12265550011218
0.25-13.59741575075981.09113502203398
0.26-13.36850648206941.05563171531531
0.27-13.14993605195591.01787545835869
0.28-12.94152332716040.98009958980439
0.29-12.74261359959110.945075151238137
0.3-12.55205392217480.915936437176676
0.31-12.36822526582910.895761615553349
0.32-12.18914312130160.8869890022094
0.33-12.01262560879340.890736626770211
0.34-11.83651132762540.906367394556508
0.35-11.65889414823190.931470168602099
0.36-11.4783342176850.962257153284783
0.37-11.29400642174840.99435982186986
0.38-11.10575902316321.02352620926785
0.39-10.91407297556221.04629870622349
0.4-10.71993172796521.06044558263166
0.41-10.5246274312561.06509012326994
0.42-10.32953895686921.06078514254546
0.43-10.13591877850381.04920336116874
0.44-9.944720384267261.03282743340254
0.45-9.756487764785361.01452334077414
0.46-9.571316470872120.997134964961046
0.47-9.388884242229420.983092082698262
0.48-9.208539952399620.974110110390148
0.49-9.029433373922970.970936443964315
0.5-8.850665138838010.973309610396002
0.51-8.671435979240410.980058176792521
0.52-8.491176458933340.989239551908077
0.53-8.309642444307750.998509030961999
0.54-8.12696687074181.00540141552477
0.55-7.94366412539631.00769586097659
0.56-7.760588676562241.00359684056971
0.57-7.57885364830090.991933929103457
0.58-7.399717496195270.97226606593059
0.59-7.224448028681930.944897136425416
0.6-7.054173558220780.910910021858251
0.61-6.889732021162890.872127579654187
0.62-6.731531235379370.831081968869685
0.63-6.579436974178450.790939425266706
0.64-6.432708970801130.755317869516353
0.65-6.290006084341780.727967700833408
0.66-6.149478100031630.712186772608796
0.67-6.008951190564560.710045383561064
0.68-5.866196944351730.721575759984348
0.69-5.719253613650090.744382506329666
0.7-5.566747868009140.773872819006635
0.71-5.408152363635650.80407393780635
0.72-5.243915043113180.828730243295103
0.73-5.075413902996970.842484174948995
0.74-4.904725119661420.841833339054239
0.75-4.734236497761550.825855582045207
0.76-4.566180937768810.796428550704782
0.77-4.402192527254460.757961692752205
0.78-4.242989563613330.716528728205992
0.79-4.088259941846350.678540443950513
0.8-3.936771118156380.649148261540129
0.81-3.786666088522450.630915409322571
0.82-3.635860540625810.623315161528364
0.83-3.482441617622160.623495713617028
0.84-3.324986442871110.627660055832796
0.85-3.162748270592130.632192468829592
0.86-2.995666758553310.634064896507672
0.87-2.824125227163180.630876456842598
0.88-2.648323648209020.62145598670252
0.89-2.467140923228070.607779086727544
0.9-2.276532369559470.598033844762048
0.91-2.067905683107210.608720688464722
0.92-1.827450243231080.66033919490817
0.93-1.537787811509970.762689393936372
0.94-1.183204540603290.900191747612687
0.95-0.7587998062802181.02980142877032
0.96-0.2818383857210921.08795993975471
0.970.1999992330001021.00460210426099
0.980.6133646483877110.736259533238588
0.990.8873229604074150.333910597312365

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -24.6991818801287 & 0.856988390345891 \tabularnewline
0.02 & -24.2173812092634 & 0.909997687210351 \tabularnewline
0.03 & -23.6319561097257 & 1.25907345375495 \tabularnewline
0.04 & -22.9590962647442 & 1.6768983841105 \tabularnewline
0.05 & -22.2102009530213 & 1.97204600573056 \tabularnewline
0.06 & -21.4210736065078 & 2.08780095584364 \tabularnewline
0.07 & -20.6389167416921 & 2.06140232128571 \tabularnewline
0.08 & -19.9015132548526 & 1.96133985520336 \tabularnewline
0.09 & -19.2284613288054 & 1.84051796475155 \tabularnewline
0.1 & -18.6239249626738 & 1.72253236735287 \tabularnewline
0.11 & -18.0834279359852 & 1.61184213690655 \tabularnewline
0.12 & -17.5993331395327 & 1.50836312499111 \tabularnewline
0.13 & -17.1635507142981 & 1.41459160357062 \tabularnewline
0.14 & -16.7682961938157 & 1.33537115967436 \tabularnewline
0.15 & -16.40614317506 & 1.27497741478988 \tabularnewline
0.16 & -16.0701201181313 & 1.23457364258994 \tabularnewline
0.17 & -15.7540186583835 & 1.21153227519886 \tabularnewline
0.18 & -15.4527673040167 & 1.2005660472923 \tabularnewline
0.19 & -15.1626801688972 & 1.19548833134258 \tabularnewline
0.2 & -14.8814834606731 & 1.1908414927498 \tabularnewline
0.21 & -14.6081329227257 & 1.18273266984792 \tabularnewline
0.22 & -14.3425023770829 & 1.16899241660597 \tabularnewline
0.23 & -14.0850365927879 & 1.14888954601591 \tabularnewline
0.24 & -13.836437559962 & 1.12265550011218 \tabularnewline
0.25 & -13.5974157507598 & 1.09113502203398 \tabularnewline
0.26 & -13.3685064820694 & 1.05563171531531 \tabularnewline
0.27 & -13.1499360519559 & 1.01787545835869 \tabularnewline
0.28 & -12.9415233271604 & 0.98009958980439 \tabularnewline
0.29 & -12.7426135995911 & 0.945075151238137 \tabularnewline
0.3 & -12.5520539221748 & 0.915936437176676 \tabularnewline
0.31 & -12.3682252658291 & 0.895761615553349 \tabularnewline
0.32 & -12.1891431213016 & 0.8869890022094 \tabularnewline
0.33 & -12.0126256087934 & 0.890736626770211 \tabularnewline
0.34 & -11.8365113276254 & 0.906367394556508 \tabularnewline
0.35 & -11.6588941482319 & 0.931470168602099 \tabularnewline
0.36 & -11.478334217685 & 0.962257153284783 \tabularnewline
0.37 & -11.2940064217484 & 0.99435982186986 \tabularnewline
0.38 & -11.1057590231632 & 1.02352620926785 \tabularnewline
0.39 & -10.9140729755622 & 1.04629870622349 \tabularnewline
0.4 & -10.7199317279652 & 1.06044558263166 \tabularnewline
0.41 & -10.524627431256 & 1.06509012326994 \tabularnewline
0.42 & -10.3295389568692 & 1.06078514254546 \tabularnewline
0.43 & -10.1359187785038 & 1.04920336116874 \tabularnewline
0.44 & -9.94472038426726 & 1.03282743340254 \tabularnewline
0.45 & -9.75648776478536 & 1.01452334077414 \tabularnewline
0.46 & -9.57131647087212 & 0.997134964961046 \tabularnewline
0.47 & -9.38888424222942 & 0.983092082698262 \tabularnewline
0.48 & -9.20853995239962 & 0.974110110390148 \tabularnewline
0.49 & -9.02943337392297 & 0.970936443964315 \tabularnewline
0.5 & -8.85066513883801 & 0.973309610396002 \tabularnewline
0.51 & -8.67143597924041 & 0.980058176792521 \tabularnewline
0.52 & -8.49117645893334 & 0.989239551908077 \tabularnewline
0.53 & -8.30964244430775 & 0.998509030961999 \tabularnewline
0.54 & -8.1269668707418 & 1.00540141552477 \tabularnewline
0.55 & -7.9436641253963 & 1.00769586097659 \tabularnewline
0.56 & -7.76058867656224 & 1.00359684056971 \tabularnewline
0.57 & -7.5788536483009 & 0.991933929103457 \tabularnewline
0.58 & -7.39971749619527 & 0.97226606593059 \tabularnewline
0.59 & -7.22444802868193 & 0.944897136425416 \tabularnewline
0.6 & -7.05417355822078 & 0.910910021858251 \tabularnewline
0.61 & -6.88973202116289 & 0.872127579654187 \tabularnewline
0.62 & -6.73153123537937 & 0.831081968869685 \tabularnewline
0.63 & -6.57943697417845 & 0.790939425266706 \tabularnewline
0.64 & -6.43270897080113 & 0.755317869516353 \tabularnewline
0.65 & -6.29000608434178 & 0.727967700833408 \tabularnewline
0.66 & -6.14947810003163 & 0.712186772608796 \tabularnewline
0.67 & -6.00895119056456 & 0.710045383561064 \tabularnewline
0.68 & -5.86619694435173 & 0.721575759984348 \tabularnewline
0.69 & -5.71925361365009 & 0.744382506329666 \tabularnewline
0.7 & -5.56674786800914 & 0.773872819006635 \tabularnewline
0.71 & -5.40815236363565 & 0.80407393780635 \tabularnewline
0.72 & -5.24391504311318 & 0.828730243295103 \tabularnewline
0.73 & -5.07541390299697 & 0.842484174948995 \tabularnewline
0.74 & -4.90472511966142 & 0.841833339054239 \tabularnewline
0.75 & -4.73423649776155 & 0.825855582045207 \tabularnewline
0.76 & -4.56618093776881 & 0.796428550704782 \tabularnewline
0.77 & -4.40219252725446 & 0.757961692752205 \tabularnewline
0.78 & -4.24298956361333 & 0.716528728205992 \tabularnewline
0.79 & -4.08825994184635 & 0.678540443950513 \tabularnewline
0.8 & -3.93677111815638 & 0.649148261540129 \tabularnewline
0.81 & -3.78666608852245 & 0.630915409322571 \tabularnewline
0.82 & -3.63586054062581 & 0.623315161528364 \tabularnewline
0.83 & -3.48244161762216 & 0.623495713617028 \tabularnewline
0.84 & -3.32498644287111 & 0.627660055832796 \tabularnewline
0.85 & -3.16274827059213 & 0.632192468829592 \tabularnewline
0.86 & -2.99566675855331 & 0.634064896507672 \tabularnewline
0.87 & -2.82412522716318 & 0.630876456842598 \tabularnewline
0.88 & -2.64832364820902 & 0.62145598670252 \tabularnewline
0.89 & -2.46714092322807 & 0.607779086727544 \tabularnewline
0.9 & -2.27653236955947 & 0.598033844762048 \tabularnewline
0.91 & -2.06790568310721 & 0.608720688464722 \tabularnewline
0.92 & -1.82745024323108 & 0.66033919490817 \tabularnewline
0.93 & -1.53778781150997 & 0.762689393936372 \tabularnewline
0.94 & -1.18320454060329 & 0.900191747612687 \tabularnewline
0.95 & -0.758799806280218 & 1.02980142877032 \tabularnewline
0.96 & -0.281838385721092 & 1.08795993975471 \tabularnewline
0.97 & 0.199999233000102 & 1.00460210426099 \tabularnewline
0.98 & 0.613364648387711 & 0.736259533238588 \tabularnewline
0.99 & 0.887322960407415 & 0.333910597312365 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292865&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]-24.6991818801287[/C][C]0.856988390345891[/C][/ROW]
[ROW][C]0.02[/C][C]-24.2173812092634[/C][C]0.909997687210351[/C][/ROW]
[ROW][C]0.03[/C][C]-23.6319561097257[/C][C]1.25907345375495[/C][/ROW]
[ROW][C]0.04[/C][C]-22.9590962647442[/C][C]1.6768983841105[/C][/ROW]
[ROW][C]0.05[/C][C]-22.2102009530213[/C][C]1.97204600573056[/C][/ROW]
[ROW][C]0.06[/C][C]-21.4210736065078[/C][C]2.08780095584364[/C][/ROW]
[ROW][C]0.07[/C][C]-20.6389167416921[/C][C]2.06140232128571[/C][/ROW]
[ROW][C]0.08[/C][C]-19.9015132548526[/C][C]1.96133985520336[/C][/ROW]
[ROW][C]0.09[/C][C]-19.2284613288054[/C][C]1.84051796475155[/C][/ROW]
[ROW][C]0.1[/C][C]-18.6239249626738[/C][C]1.72253236735287[/C][/ROW]
[ROW][C]0.11[/C][C]-18.0834279359852[/C][C]1.61184213690655[/C][/ROW]
[ROW][C]0.12[/C][C]-17.5993331395327[/C][C]1.50836312499111[/C][/ROW]
[ROW][C]0.13[/C][C]-17.1635507142981[/C][C]1.41459160357062[/C][/ROW]
[ROW][C]0.14[/C][C]-16.7682961938157[/C][C]1.33537115967436[/C][/ROW]
[ROW][C]0.15[/C][C]-16.40614317506[/C][C]1.27497741478988[/C][/ROW]
[ROW][C]0.16[/C][C]-16.0701201181313[/C][C]1.23457364258994[/C][/ROW]
[ROW][C]0.17[/C][C]-15.7540186583835[/C][C]1.21153227519886[/C][/ROW]
[ROW][C]0.18[/C][C]-15.4527673040167[/C][C]1.2005660472923[/C][/ROW]
[ROW][C]0.19[/C][C]-15.1626801688972[/C][C]1.19548833134258[/C][/ROW]
[ROW][C]0.2[/C][C]-14.8814834606731[/C][C]1.1908414927498[/C][/ROW]
[ROW][C]0.21[/C][C]-14.6081329227257[/C][C]1.18273266984792[/C][/ROW]
[ROW][C]0.22[/C][C]-14.3425023770829[/C][C]1.16899241660597[/C][/ROW]
[ROW][C]0.23[/C][C]-14.0850365927879[/C][C]1.14888954601591[/C][/ROW]
[ROW][C]0.24[/C][C]-13.836437559962[/C][C]1.12265550011218[/C][/ROW]
[ROW][C]0.25[/C][C]-13.5974157507598[/C][C]1.09113502203398[/C][/ROW]
[ROW][C]0.26[/C][C]-13.3685064820694[/C][C]1.05563171531531[/C][/ROW]
[ROW][C]0.27[/C][C]-13.1499360519559[/C][C]1.01787545835869[/C][/ROW]
[ROW][C]0.28[/C][C]-12.9415233271604[/C][C]0.98009958980439[/C][/ROW]
[ROW][C]0.29[/C][C]-12.7426135995911[/C][C]0.945075151238137[/C][/ROW]
[ROW][C]0.3[/C][C]-12.5520539221748[/C][C]0.915936437176676[/C][/ROW]
[ROW][C]0.31[/C][C]-12.3682252658291[/C][C]0.895761615553349[/C][/ROW]
[ROW][C]0.32[/C][C]-12.1891431213016[/C][C]0.8869890022094[/C][/ROW]
[ROW][C]0.33[/C][C]-12.0126256087934[/C][C]0.890736626770211[/C][/ROW]
[ROW][C]0.34[/C][C]-11.8365113276254[/C][C]0.906367394556508[/C][/ROW]
[ROW][C]0.35[/C][C]-11.6588941482319[/C][C]0.931470168602099[/C][/ROW]
[ROW][C]0.36[/C][C]-11.478334217685[/C][C]0.962257153284783[/C][/ROW]
[ROW][C]0.37[/C][C]-11.2940064217484[/C][C]0.99435982186986[/C][/ROW]
[ROW][C]0.38[/C][C]-11.1057590231632[/C][C]1.02352620926785[/C][/ROW]
[ROW][C]0.39[/C][C]-10.9140729755622[/C][C]1.04629870622349[/C][/ROW]
[ROW][C]0.4[/C][C]-10.7199317279652[/C][C]1.06044558263166[/C][/ROW]
[ROW][C]0.41[/C][C]-10.524627431256[/C][C]1.06509012326994[/C][/ROW]
[ROW][C]0.42[/C][C]-10.3295389568692[/C][C]1.06078514254546[/C][/ROW]
[ROW][C]0.43[/C][C]-10.1359187785038[/C][C]1.04920336116874[/C][/ROW]
[ROW][C]0.44[/C][C]-9.94472038426726[/C][C]1.03282743340254[/C][/ROW]
[ROW][C]0.45[/C][C]-9.75648776478536[/C][C]1.01452334077414[/C][/ROW]
[ROW][C]0.46[/C][C]-9.57131647087212[/C][C]0.997134964961046[/C][/ROW]
[ROW][C]0.47[/C][C]-9.38888424222942[/C][C]0.983092082698262[/C][/ROW]
[ROW][C]0.48[/C][C]-9.20853995239962[/C][C]0.974110110390148[/C][/ROW]
[ROW][C]0.49[/C][C]-9.02943337392297[/C][C]0.970936443964315[/C][/ROW]
[ROW][C]0.5[/C][C]-8.85066513883801[/C][C]0.973309610396002[/C][/ROW]
[ROW][C]0.51[/C][C]-8.67143597924041[/C][C]0.980058176792521[/C][/ROW]
[ROW][C]0.52[/C][C]-8.49117645893334[/C][C]0.989239551908077[/C][/ROW]
[ROW][C]0.53[/C][C]-8.30964244430775[/C][C]0.998509030961999[/C][/ROW]
[ROW][C]0.54[/C][C]-8.1269668707418[/C][C]1.00540141552477[/C][/ROW]
[ROW][C]0.55[/C][C]-7.9436641253963[/C][C]1.00769586097659[/C][/ROW]
[ROW][C]0.56[/C][C]-7.76058867656224[/C][C]1.00359684056971[/C][/ROW]
[ROW][C]0.57[/C][C]-7.5788536483009[/C][C]0.991933929103457[/C][/ROW]
[ROW][C]0.58[/C][C]-7.39971749619527[/C][C]0.97226606593059[/C][/ROW]
[ROW][C]0.59[/C][C]-7.22444802868193[/C][C]0.944897136425416[/C][/ROW]
[ROW][C]0.6[/C][C]-7.05417355822078[/C][C]0.910910021858251[/C][/ROW]
[ROW][C]0.61[/C][C]-6.88973202116289[/C][C]0.872127579654187[/C][/ROW]
[ROW][C]0.62[/C][C]-6.73153123537937[/C][C]0.831081968869685[/C][/ROW]
[ROW][C]0.63[/C][C]-6.57943697417845[/C][C]0.790939425266706[/C][/ROW]
[ROW][C]0.64[/C][C]-6.43270897080113[/C][C]0.755317869516353[/C][/ROW]
[ROW][C]0.65[/C][C]-6.29000608434178[/C][C]0.727967700833408[/C][/ROW]
[ROW][C]0.66[/C][C]-6.14947810003163[/C][C]0.712186772608796[/C][/ROW]
[ROW][C]0.67[/C][C]-6.00895119056456[/C][C]0.710045383561064[/C][/ROW]
[ROW][C]0.68[/C][C]-5.86619694435173[/C][C]0.721575759984348[/C][/ROW]
[ROW][C]0.69[/C][C]-5.71925361365009[/C][C]0.744382506329666[/C][/ROW]
[ROW][C]0.7[/C][C]-5.56674786800914[/C][C]0.773872819006635[/C][/ROW]
[ROW][C]0.71[/C][C]-5.40815236363565[/C][C]0.80407393780635[/C][/ROW]
[ROW][C]0.72[/C][C]-5.24391504311318[/C][C]0.828730243295103[/C][/ROW]
[ROW][C]0.73[/C][C]-5.07541390299697[/C][C]0.842484174948995[/C][/ROW]
[ROW][C]0.74[/C][C]-4.90472511966142[/C][C]0.841833339054239[/C][/ROW]
[ROW][C]0.75[/C][C]-4.73423649776155[/C][C]0.825855582045207[/C][/ROW]
[ROW][C]0.76[/C][C]-4.56618093776881[/C][C]0.796428550704782[/C][/ROW]
[ROW][C]0.77[/C][C]-4.40219252725446[/C][C]0.757961692752205[/C][/ROW]
[ROW][C]0.78[/C][C]-4.24298956361333[/C][C]0.716528728205992[/C][/ROW]
[ROW][C]0.79[/C][C]-4.08825994184635[/C][C]0.678540443950513[/C][/ROW]
[ROW][C]0.8[/C][C]-3.93677111815638[/C][C]0.649148261540129[/C][/ROW]
[ROW][C]0.81[/C][C]-3.78666608852245[/C][C]0.630915409322571[/C][/ROW]
[ROW][C]0.82[/C][C]-3.63586054062581[/C][C]0.623315161528364[/C][/ROW]
[ROW][C]0.83[/C][C]-3.48244161762216[/C][C]0.623495713617028[/C][/ROW]
[ROW][C]0.84[/C][C]-3.32498644287111[/C][C]0.627660055832796[/C][/ROW]
[ROW][C]0.85[/C][C]-3.16274827059213[/C][C]0.632192468829592[/C][/ROW]
[ROW][C]0.86[/C][C]-2.99566675855331[/C][C]0.634064896507672[/C][/ROW]
[ROW][C]0.87[/C][C]-2.82412522716318[/C][C]0.630876456842598[/C][/ROW]
[ROW][C]0.88[/C][C]-2.64832364820902[/C][C]0.62145598670252[/C][/ROW]
[ROW][C]0.89[/C][C]-2.46714092322807[/C][C]0.607779086727544[/C][/ROW]
[ROW][C]0.9[/C][C]-2.27653236955947[/C][C]0.598033844762048[/C][/ROW]
[ROW][C]0.91[/C][C]-2.06790568310721[/C][C]0.608720688464722[/C][/ROW]
[ROW][C]0.92[/C][C]-1.82745024323108[/C][C]0.66033919490817[/C][/ROW]
[ROW][C]0.93[/C][C]-1.53778781150997[/C][C]0.762689393936372[/C][/ROW]
[ROW][C]0.94[/C][C]-1.18320454060329[/C][C]0.900191747612687[/C][/ROW]
[ROW][C]0.95[/C][C]-0.758799806280218[/C][C]1.02980142877032[/C][/ROW]
[ROW][C]0.96[/C][C]-0.281838385721092[/C][C]1.08795993975471[/C][/ROW]
[ROW][C]0.97[/C][C]0.199999233000102[/C][C]1.00460210426099[/C][/ROW]
[ROW][C]0.98[/C][C]0.613364648387711[/C][C]0.736259533238588[/C][/ROW]
[ROW][C]0.99[/C][C]0.887322960407415[/C][C]0.333910597312365[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292865&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292865&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
0.01-24.69918188012870.856988390345891
0.02-24.21738120926340.909997687210351
0.03-23.63195610972571.25907345375495
0.04-22.95909626474421.6768983841105
0.05-22.21020095302131.97204600573056
0.06-21.42107360650782.08780095584364
0.07-20.63891674169212.06140232128571
0.08-19.90151325485261.96133985520336
0.09-19.22846132880541.84051796475155
0.1-18.62392496267381.72253236735287
0.11-18.08342793598521.61184213690655
0.12-17.59933313953271.50836312499111
0.13-17.16355071429811.41459160357062
0.14-16.76829619381571.33537115967436
0.15-16.406143175061.27497741478988
0.16-16.07012011813131.23457364258994
0.17-15.75401865838351.21153227519886
0.18-15.45276730401671.2005660472923
0.19-15.16268016889721.19548833134258
0.2-14.88148346067311.1908414927498
0.21-14.60813292272571.18273266984792
0.22-14.34250237708291.16899241660597
0.23-14.08503659278791.14888954601591
0.24-13.8364375599621.12265550011218
0.25-13.59741575075981.09113502203398
0.26-13.36850648206941.05563171531531
0.27-13.14993605195591.01787545835869
0.28-12.94152332716040.98009958980439
0.29-12.74261359959110.945075151238137
0.3-12.55205392217480.915936437176676
0.31-12.36822526582910.895761615553349
0.32-12.18914312130160.8869890022094
0.33-12.01262560879340.890736626770211
0.34-11.83651132762540.906367394556508
0.35-11.65889414823190.931470168602099
0.36-11.4783342176850.962257153284783
0.37-11.29400642174840.99435982186986
0.38-11.10575902316321.02352620926785
0.39-10.91407297556221.04629870622349
0.4-10.71993172796521.06044558263166
0.41-10.5246274312561.06509012326994
0.42-10.32953895686921.06078514254546
0.43-10.13591877850381.04920336116874
0.44-9.944720384267261.03282743340254
0.45-9.756487764785361.01452334077414
0.46-9.571316470872120.997134964961046
0.47-9.388884242229420.983092082698262
0.48-9.208539952399620.974110110390148
0.49-9.029433373922970.970936443964315
0.5-8.850665138838010.973309610396002
0.51-8.671435979240410.980058176792521
0.52-8.491176458933340.989239551908077
0.53-8.309642444307750.998509030961999
0.54-8.12696687074181.00540141552477
0.55-7.94366412539631.00769586097659
0.56-7.760588676562241.00359684056971
0.57-7.57885364830090.991933929103457
0.58-7.399717496195270.97226606593059
0.59-7.224448028681930.944897136425416
0.6-7.054173558220780.910910021858251
0.61-6.889732021162890.872127579654187
0.62-6.731531235379370.831081968869685
0.63-6.579436974178450.790939425266706
0.64-6.432708970801130.755317869516353
0.65-6.290006084341780.727967700833408
0.66-6.149478100031630.712186772608796
0.67-6.008951190564560.710045383561064
0.68-5.866196944351730.721575759984348
0.69-5.719253613650090.744382506329666
0.7-5.566747868009140.773872819006635
0.71-5.408152363635650.80407393780635
0.72-5.243915043113180.828730243295103
0.73-5.075413902996970.842484174948995
0.74-4.904725119661420.841833339054239
0.75-4.734236497761550.825855582045207
0.76-4.566180937768810.796428550704782
0.77-4.402192527254460.757961692752205
0.78-4.242989563613330.716528728205992
0.79-4.088259941846350.678540443950513
0.8-3.936771118156380.649148261540129
0.81-3.786666088522450.630915409322571
0.82-3.635860540625810.623315161528364
0.83-3.482441617622160.623495713617028
0.84-3.324986442871110.627660055832796
0.85-3.162748270592130.632192468829592
0.86-2.995666758553310.634064896507672
0.87-2.824125227163180.630876456842598
0.88-2.648323648209020.62145598670252
0.89-2.467140923228070.607779086727544
0.9-2.276532369559470.598033844762048
0.91-2.067905683107210.608720688464722
0.92-1.827450243231080.66033919490817
0.93-1.537787811509970.762689393936372
0.94-1.183204540603290.900191747612687
0.95-0.7587998062802181.02980142877032
0.96-0.2818383857210921.08795993975471
0.970.1999992330001021.00460210426099
0.980.6133646483877110.736259533238588
0.990.8873229604074150.333910597312365


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 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')