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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 04 Oct 2013 12:45:47 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/04/t1380905164kuhlwb3xkzaudk8.htm/, Retrieved Mon, 29 Apr 2024 07:28:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213207, Retrieved Mon, 29 Apr 2024 07:28:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact119
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2013-10-02 18:17:21] [b95715fc6700d6c41997a188e5ae1cae]
-   PD  [Univariate Data Series] [] [2013-10-02 19:17:54] [b95715fc6700d6c41997a188e5ae1cae]
- RM      [Histogram] [] [2013-10-02 19:29:48] [b95715fc6700d6c41997a188e5ae1cae]
- R P       [Histogram] [] [2013-10-02 19:40:37] [b95715fc6700d6c41997a188e5ae1cae]
- R           [Histogram] [] [2013-10-02 19:42:31] [69f0adfa1a431ec50764c1a969b4d177]
- RMPD            [Harrell-Davis Quantiles] [] [2013-10-04 16:45:47] [62a6597007cd6653b71a687b26797f80] [Current]
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Dataseries X:
103,43
103,49
103,5
103,5
103,5
103,5
103,54
103,71
103,76
103,76
103,76
103,82
105,11
105,58
105,91
105,92
105,92
105,92
105,96
105,98
105,98
105,98
106,01
106,01
106,91
107,11
107,18
107,2
107,35
107,35
107,35
107,52
107,56
107,55
107,6
107,6
110,04
110,27
110,33
110,33
110,33
110,33
110,33
110,35
110,38
110,54
110,54
110,54
110,54
106,74
106,78
106,75
106,75
106,75
106,82
107,08
107,25
107,28
107,28
107,28
108,44
109,33
109,44
109,44
109,45
109,45
109,45
109,45
109,46
109,46
109,46
109,46
110,95
110,95
110,95
110,95
110,95
110,95
110,95
110,95
110,97
110,97
110,97
111




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213207&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213207&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213207&T=0

As an alternative you can also use a 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'George Udny Yule' @ yule.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.01103.4491898798460.0439363900970657
0.02103.4727332955670.0267376225037544
0.03103.4912540305090.0210843505297056
0.04103.5068430829150.0335054965702684
0.05103.5258896733050.0604700330364425
0.06103.5543375145870.099961337205471
0.07103.59690011020.153071796592039
0.08103.6577499692410.223512613114499
0.09103.7411710567140.315452263774044
0.1103.851455038630.428730578630331
0.11103.9918417336220.5548936328886
0.12104.1629015738320.678570359893986
0.13104.3611833889770.780197721651803
0.14104.5789084713740.842639618558113
0.15104.8050109473670.856127102585892
0.16105.0272112258280.820804861798152
0.17105.2344010695310.746048303813208
0.18105.4185791920930.647164049874082
0.19105.5758477237280.541275676326775
0.2105.706373262940.443629118291342
0.21105.8135423166060.36582855527954
0.22105.9026987185020.314329828735075
0.23105.9798416078770.290231560847902
0.24106.0505514900920.289060287144835
0.25106.1192742603540.303037972820376
0.26106.1889799263160.323761005742912
0.27106.2611421514830.344423701535825
0.28106.3359515977180.360369721668546
0.29106.4126673442940.369076656365524
0.3106.4900159318480.369544297656761
0.31106.5665618693040.36246591275904
0.32106.6409950035730.349419961593969
0.33106.7123069064690.332549449736121
0.34106.7798561759210.314012107668653
0.35106.843345661020.295185124535463
0.36106.9027482679090.277104081719339
0.37106.9582201730660.260180776995207
0.38107.0100324687950.244582351638112
0.39107.058538653370.230319445242851
0.4107.1041809497370.217990427376359
0.41107.1475271818070.208296784270904
0.42107.1893237415870.202464379341491
0.43107.2305487429260.20211800490252
0.44107.2724510441280.209158302951566
0.45107.316563389520.225354294385076
0.46107.3646801236690.252081349626506
0.47107.4187916567740.29012633723419
0.48107.4809701441680.339647152230635
0.49107.5532052592270.399485105753252
0.5107.6371966655090.467320973778499
0.51107.7341207203180.539753262177171
0.52107.8444011710820.612089590472354
0.53107.9675236346680.678966332426337
0.54108.1019372998770.734539066930356
0.55108.2450811768930.773741409380355
0.56108.3935552442250.792494346850191
0.57108.5434311592380.788733660119257
0.58108.6906680691030.763062899632562
0.59108.8315735941710.718140875894688
0.6108.9632351332020.659043820695477
0.61109.0838467701190.592347314533259
0.62109.1928729833220.525018979967091
0.63109.2910188666980.464078135275739
0.64109.3800115626420.415179830756082
0.65109.4622318367350.381736903315688
0.66109.5402615648480.364253715358829
0.67109.6164275596490.359945227880777
0.68109.692422178740.363618623089982
0.69109.7690664583440.3693879730086
0.7109.8462543415530.371805104698706
0.71109.9230814255660.367236190264653
0.72109.9981251009890.353720363473549
0.73110.0698128044550.331486629418538
0.74110.1367987151130.302478385063979
0.75110.1982711874240.270073851827379
0.76110.254133232630.23812739873519
0.77110.3050305123960.210525734279212
0.78110.3522355302010.190350616151945
0.79110.3974225135620.179184795960485
0.8110.4423786005750.177031322782762
0.81110.4886946066910.18208247283049
0.82110.5374711751750.191317103774917
0.83110.5890738726560.201137240887635
0.84110.6429783227730.207684737904952
0.85110.6977565765880.207418499229681
0.86110.7512512301880.197981930159282
0.87110.8009479651270.17867781993192
0.88110.8444905294230.151094555661636
0.89110.8802101705990.11871081225526
0.9110.9075054319070.0859790521395833
0.91110.926939044670.0571454493837227
0.92110.9400121910020.0350440495012863
0.93110.9486930543440.0207208234426271
0.94110.9548725911540.013353374942854
0.95110.9599814304370.0106291866574512
0.96110.9650163833280.00937972127805752
0.97110.9710488635510.00899788885485709
0.98110.9795485395740.0125381242846715
0.99110.9907447582580.0212787248929692

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 103.449189879846 & 0.0439363900970657 \tabularnewline
0.02 & 103.472733295567 & 0.0267376225037544 \tabularnewline
0.03 & 103.491254030509 & 0.0210843505297056 \tabularnewline
0.04 & 103.506843082915 & 0.0335054965702684 \tabularnewline
0.05 & 103.525889673305 & 0.0604700330364425 \tabularnewline
0.06 & 103.554337514587 & 0.099961337205471 \tabularnewline
0.07 & 103.5969001102 & 0.153071796592039 \tabularnewline
0.08 & 103.657749969241 & 0.223512613114499 \tabularnewline
0.09 & 103.741171056714 & 0.315452263774044 \tabularnewline
0.1 & 103.85145503863 & 0.428730578630331 \tabularnewline
0.11 & 103.991841733622 & 0.5548936328886 \tabularnewline
0.12 & 104.162901573832 & 0.678570359893986 \tabularnewline
0.13 & 104.361183388977 & 0.780197721651803 \tabularnewline
0.14 & 104.578908471374 & 0.842639618558113 \tabularnewline
0.15 & 104.805010947367 & 0.856127102585892 \tabularnewline
0.16 & 105.027211225828 & 0.820804861798152 \tabularnewline
0.17 & 105.234401069531 & 0.746048303813208 \tabularnewline
0.18 & 105.418579192093 & 0.647164049874082 \tabularnewline
0.19 & 105.575847723728 & 0.541275676326775 \tabularnewline
0.2 & 105.70637326294 & 0.443629118291342 \tabularnewline
0.21 & 105.813542316606 & 0.36582855527954 \tabularnewline
0.22 & 105.902698718502 & 0.314329828735075 \tabularnewline
0.23 & 105.979841607877 & 0.290231560847902 \tabularnewline
0.24 & 106.050551490092 & 0.289060287144835 \tabularnewline
0.25 & 106.119274260354 & 0.303037972820376 \tabularnewline
0.26 & 106.188979926316 & 0.323761005742912 \tabularnewline
0.27 & 106.261142151483 & 0.344423701535825 \tabularnewline
0.28 & 106.335951597718 & 0.360369721668546 \tabularnewline
0.29 & 106.412667344294 & 0.369076656365524 \tabularnewline
0.3 & 106.490015931848 & 0.369544297656761 \tabularnewline
0.31 & 106.566561869304 & 0.36246591275904 \tabularnewline
0.32 & 106.640995003573 & 0.349419961593969 \tabularnewline
0.33 & 106.712306906469 & 0.332549449736121 \tabularnewline
0.34 & 106.779856175921 & 0.314012107668653 \tabularnewline
0.35 & 106.84334566102 & 0.295185124535463 \tabularnewline
0.36 & 106.902748267909 & 0.277104081719339 \tabularnewline
0.37 & 106.958220173066 & 0.260180776995207 \tabularnewline
0.38 & 107.010032468795 & 0.244582351638112 \tabularnewline
0.39 & 107.05853865337 & 0.230319445242851 \tabularnewline
0.4 & 107.104180949737 & 0.217990427376359 \tabularnewline
0.41 & 107.147527181807 & 0.208296784270904 \tabularnewline
0.42 & 107.189323741587 & 0.202464379341491 \tabularnewline
0.43 & 107.230548742926 & 0.20211800490252 \tabularnewline
0.44 & 107.272451044128 & 0.209158302951566 \tabularnewline
0.45 & 107.31656338952 & 0.225354294385076 \tabularnewline
0.46 & 107.364680123669 & 0.252081349626506 \tabularnewline
0.47 & 107.418791656774 & 0.29012633723419 \tabularnewline
0.48 & 107.480970144168 & 0.339647152230635 \tabularnewline
0.49 & 107.553205259227 & 0.399485105753252 \tabularnewline
0.5 & 107.637196665509 & 0.467320973778499 \tabularnewline
0.51 & 107.734120720318 & 0.539753262177171 \tabularnewline
0.52 & 107.844401171082 & 0.612089590472354 \tabularnewline
0.53 & 107.967523634668 & 0.678966332426337 \tabularnewline
0.54 & 108.101937299877 & 0.734539066930356 \tabularnewline
0.55 & 108.245081176893 & 0.773741409380355 \tabularnewline
0.56 & 108.393555244225 & 0.792494346850191 \tabularnewline
0.57 & 108.543431159238 & 0.788733660119257 \tabularnewline
0.58 & 108.690668069103 & 0.763062899632562 \tabularnewline
0.59 & 108.831573594171 & 0.718140875894688 \tabularnewline
0.6 & 108.963235133202 & 0.659043820695477 \tabularnewline
0.61 & 109.083846770119 & 0.592347314533259 \tabularnewline
0.62 & 109.192872983322 & 0.525018979967091 \tabularnewline
0.63 & 109.291018866698 & 0.464078135275739 \tabularnewline
0.64 & 109.380011562642 & 0.415179830756082 \tabularnewline
0.65 & 109.462231836735 & 0.381736903315688 \tabularnewline
0.66 & 109.540261564848 & 0.364253715358829 \tabularnewline
0.67 & 109.616427559649 & 0.359945227880777 \tabularnewline
0.68 & 109.69242217874 & 0.363618623089982 \tabularnewline
0.69 & 109.769066458344 & 0.3693879730086 \tabularnewline
0.7 & 109.846254341553 & 0.371805104698706 \tabularnewline
0.71 & 109.923081425566 & 0.367236190264653 \tabularnewline
0.72 & 109.998125100989 & 0.353720363473549 \tabularnewline
0.73 & 110.069812804455 & 0.331486629418538 \tabularnewline
0.74 & 110.136798715113 & 0.302478385063979 \tabularnewline
0.75 & 110.198271187424 & 0.270073851827379 \tabularnewline
0.76 & 110.25413323263 & 0.23812739873519 \tabularnewline
0.77 & 110.305030512396 & 0.210525734279212 \tabularnewline
0.78 & 110.352235530201 & 0.190350616151945 \tabularnewline
0.79 & 110.397422513562 & 0.179184795960485 \tabularnewline
0.8 & 110.442378600575 & 0.177031322782762 \tabularnewline
0.81 & 110.488694606691 & 0.18208247283049 \tabularnewline
0.82 & 110.537471175175 & 0.191317103774917 \tabularnewline
0.83 & 110.589073872656 & 0.201137240887635 \tabularnewline
0.84 & 110.642978322773 & 0.207684737904952 \tabularnewline
0.85 & 110.697756576588 & 0.207418499229681 \tabularnewline
0.86 & 110.751251230188 & 0.197981930159282 \tabularnewline
0.87 & 110.800947965127 & 0.17867781993192 \tabularnewline
0.88 & 110.844490529423 & 0.151094555661636 \tabularnewline
0.89 & 110.880210170599 & 0.11871081225526 \tabularnewline
0.9 & 110.907505431907 & 0.0859790521395833 \tabularnewline
0.91 & 110.92693904467 & 0.0571454493837227 \tabularnewline
0.92 & 110.940012191002 & 0.0350440495012863 \tabularnewline
0.93 & 110.948693054344 & 0.0207208234426271 \tabularnewline
0.94 & 110.954872591154 & 0.013353374942854 \tabularnewline
0.95 & 110.959981430437 & 0.0106291866574512 \tabularnewline
0.96 & 110.965016383328 & 0.00937972127805752 \tabularnewline
0.97 & 110.971048863551 & 0.00899788885485709 \tabularnewline
0.98 & 110.979548539574 & 0.0125381242846715 \tabularnewline
0.99 & 110.990744758258 & 0.0212787248929692 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213207&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]103.449189879846[/C][C]0.0439363900970657[/C][/ROW]
[ROW][C]0.02[/C][C]103.472733295567[/C][C]0.0267376225037544[/C][/ROW]
[ROW][C]0.03[/C][C]103.491254030509[/C][C]0.0210843505297056[/C][/ROW]
[ROW][C]0.04[/C][C]103.506843082915[/C][C]0.0335054965702684[/C][/ROW]
[ROW][C]0.05[/C][C]103.525889673305[/C][C]0.0604700330364425[/C][/ROW]
[ROW][C]0.06[/C][C]103.554337514587[/C][C]0.099961337205471[/C][/ROW]
[ROW][C]0.07[/C][C]103.5969001102[/C][C]0.153071796592039[/C][/ROW]
[ROW][C]0.08[/C][C]103.657749969241[/C][C]0.223512613114499[/C][/ROW]
[ROW][C]0.09[/C][C]103.741171056714[/C][C]0.315452263774044[/C][/ROW]
[ROW][C]0.1[/C][C]103.85145503863[/C][C]0.428730578630331[/C][/ROW]
[ROW][C]0.11[/C][C]103.991841733622[/C][C]0.5548936328886[/C][/ROW]
[ROW][C]0.12[/C][C]104.162901573832[/C][C]0.678570359893986[/C][/ROW]
[ROW][C]0.13[/C][C]104.361183388977[/C][C]0.780197721651803[/C][/ROW]
[ROW][C]0.14[/C][C]104.578908471374[/C][C]0.842639618558113[/C][/ROW]
[ROW][C]0.15[/C][C]104.805010947367[/C][C]0.856127102585892[/C][/ROW]
[ROW][C]0.16[/C][C]105.027211225828[/C][C]0.820804861798152[/C][/ROW]
[ROW][C]0.17[/C][C]105.234401069531[/C][C]0.746048303813208[/C][/ROW]
[ROW][C]0.18[/C][C]105.418579192093[/C][C]0.647164049874082[/C][/ROW]
[ROW][C]0.19[/C][C]105.575847723728[/C][C]0.541275676326775[/C][/ROW]
[ROW][C]0.2[/C][C]105.70637326294[/C][C]0.443629118291342[/C][/ROW]
[ROW][C]0.21[/C][C]105.813542316606[/C][C]0.36582855527954[/C][/ROW]
[ROW][C]0.22[/C][C]105.902698718502[/C][C]0.314329828735075[/C][/ROW]
[ROW][C]0.23[/C][C]105.979841607877[/C][C]0.290231560847902[/C][/ROW]
[ROW][C]0.24[/C][C]106.050551490092[/C][C]0.289060287144835[/C][/ROW]
[ROW][C]0.25[/C][C]106.119274260354[/C][C]0.303037972820376[/C][/ROW]
[ROW][C]0.26[/C][C]106.188979926316[/C][C]0.323761005742912[/C][/ROW]
[ROW][C]0.27[/C][C]106.261142151483[/C][C]0.344423701535825[/C][/ROW]
[ROW][C]0.28[/C][C]106.335951597718[/C][C]0.360369721668546[/C][/ROW]
[ROW][C]0.29[/C][C]106.412667344294[/C][C]0.369076656365524[/C][/ROW]
[ROW][C]0.3[/C][C]106.490015931848[/C][C]0.369544297656761[/C][/ROW]
[ROW][C]0.31[/C][C]106.566561869304[/C][C]0.36246591275904[/C][/ROW]
[ROW][C]0.32[/C][C]106.640995003573[/C][C]0.349419961593969[/C][/ROW]
[ROW][C]0.33[/C][C]106.712306906469[/C][C]0.332549449736121[/C][/ROW]
[ROW][C]0.34[/C][C]106.779856175921[/C][C]0.314012107668653[/C][/ROW]
[ROW][C]0.35[/C][C]106.84334566102[/C][C]0.295185124535463[/C][/ROW]
[ROW][C]0.36[/C][C]106.902748267909[/C][C]0.277104081719339[/C][/ROW]
[ROW][C]0.37[/C][C]106.958220173066[/C][C]0.260180776995207[/C][/ROW]
[ROW][C]0.38[/C][C]107.010032468795[/C][C]0.244582351638112[/C][/ROW]
[ROW][C]0.39[/C][C]107.05853865337[/C][C]0.230319445242851[/C][/ROW]
[ROW][C]0.4[/C][C]107.104180949737[/C][C]0.217990427376359[/C][/ROW]
[ROW][C]0.41[/C][C]107.147527181807[/C][C]0.208296784270904[/C][/ROW]
[ROW][C]0.42[/C][C]107.189323741587[/C][C]0.202464379341491[/C][/ROW]
[ROW][C]0.43[/C][C]107.230548742926[/C][C]0.20211800490252[/C][/ROW]
[ROW][C]0.44[/C][C]107.272451044128[/C][C]0.209158302951566[/C][/ROW]
[ROW][C]0.45[/C][C]107.31656338952[/C][C]0.225354294385076[/C][/ROW]
[ROW][C]0.46[/C][C]107.364680123669[/C][C]0.252081349626506[/C][/ROW]
[ROW][C]0.47[/C][C]107.418791656774[/C][C]0.29012633723419[/C][/ROW]
[ROW][C]0.48[/C][C]107.480970144168[/C][C]0.339647152230635[/C][/ROW]
[ROW][C]0.49[/C][C]107.553205259227[/C][C]0.399485105753252[/C][/ROW]
[ROW][C]0.5[/C][C]107.637196665509[/C][C]0.467320973778499[/C][/ROW]
[ROW][C]0.51[/C][C]107.734120720318[/C][C]0.539753262177171[/C][/ROW]
[ROW][C]0.52[/C][C]107.844401171082[/C][C]0.612089590472354[/C][/ROW]
[ROW][C]0.53[/C][C]107.967523634668[/C][C]0.678966332426337[/C][/ROW]
[ROW][C]0.54[/C][C]108.101937299877[/C][C]0.734539066930356[/C][/ROW]
[ROW][C]0.55[/C][C]108.245081176893[/C][C]0.773741409380355[/C][/ROW]
[ROW][C]0.56[/C][C]108.393555244225[/C][C]0.792494346850191[/C][/ROW]
[ROW][C]0.57[/C][C]108.543431159238[/C][C]0.788733660119257[/C][/ROW]
[ROW][C]0.58[/C][C]108.690668069103[/C][C]0.763062899632562[/C][/ROW]
[ROW][C]0.59[/C][C]108.831573594171[/C][C]0.718140875894688[/C][/ROW]
[ROW][C]0.6[/C][C]108.963235133202[/C][C]0.659043820695477[/C][/ROW]
[ROW][C]0.61[/C][C]109.083846770119[/C][C]0.592347314533259[/C][/ROW]
[ROW][C]0.62[/C][C]109.192872983322[/C][C]0.525018979967091[/C][/ROW]
[ROW][C]0.63[/C][C]109.291018866698[/C][C]0.464078135275739[/C][/ROW]
[ROW][C]0.64[/C][C]109.380011562642[/C][C]0.415179830756082[/C][/ROW]
[ROW][C]0.65[/C][C]109.462231836735[/C][C]0.381736903315688[/C][/ROW]
[ROW][C]0.66[/C][C]109.540261564848[/C][C]0.364253715358829[/C][/ROW]
[ROW][C]0.67[/C][C]109.616427559649[/C][C]0.359945227880777[/C][/ROW]
[ROW][C]0.68[/C][C]109.69242217874[/C][C]0.363618623089982[/C][/ROW]
[ROW][C]0.69[/C][C]109.769066458344[/C][C]0.3693879730086[/C][/ROW]
[ROW][C]0.7[/C][C]109.846254341553[/C][C]0.371805104698706[/C][/ROW]
[ROW][C]0.71[/C][C]109.923081425566[/C][C]0.367236190264653[/C][/ROW]
[ROW][C]0.72[/C][C]109.998125100989[/C][C]0.353720363473549[/C][/ROW]
[ROW][C]0.73[/C][C]110.069812804455[/C][C]0.331486629418538[/C][/ROW]
[ROW][C]0.74[/C][C]110.136798715113[/C][C]0.302478385063979[/C][/ROW]
[ROW][C]0.75[/C][C]110.198271187424[/C][C]0.270073851827379[/C][/ROW]
[ROW][C]0.76[/C][C]110.25413323263[/C][C]0.23812739873519[/C][/ROW]
[ROW][C]0.77[/C][C]110.305030512396[/C][C]0.210525734279212[/C][/ROW]
[ROW][C]0.78[/C][C]110.352235530201[/C][C]0.190350616151945[/C][/ROW]
[ROW][C]0.79[/C][C]110.397422513562[/C][C]0.179184795960485[/C][/ROW]
[ROW][C]0.8[/C][C]110.442378600575[/C][C]0.177031322782762[/C][/ROW]
[ROW][C]0.81[/C][C]110.488694606691[/C][C]0.18208247283049[/C][/ROW]
[ROW][C]0.82[/C][C]110.537471175175[/C][C]0.191317103774917[/C][/ROW]
[ROW][C]0.83[/C][C]110.589073872656[/C][C]0.201137240887635[/C][/ROW]
[ROW][C]0.84[/C][C]110.642978322773[/C][C]0.207684737904952[/C][/ROW]
[ROW][C]0.85[/C][C]110.697756576588[/C][C]0.207418499229681[/C][/ROW]
[ROW][C]0.86[/C][C]110.751251230188[/C][C]0.197981930159282[/C][/ROW]
[ROW][C]0.87[/C][C]110.800947965127[/C][C]0.17867781993192[/C][/ROW]
[ROW][C]0.88[/C][C]110.844490529423[/C][C]0.151094555661636[/C][/ROW]
[ROW][C]0.89[/C][C]110.880210170599[/C][C]0.11871081225526[/C][/ROW]
[ROW][C]0.9[/C][C]110.907505431907[/C][C]0.0859790521395833[/C][/ROW]
[ROW][C]0.91[/C][C]110.92693904467[/C][C]0.0571454493837227[/C][/ROW]
[ROW][C]0.92[/C][C]110.940012191002[/C][C]0.0350440495012863[/C][/ROW]
[ROW][C]0.93[/C][C]110.948693054344[/C][C]0.0207208234426271[/C][/ROW]
[ROW][C]0.94[/C][C]110.954872591154[/C][C]0.013353374942854[/C][/ROW]
[ROW][C]0.95[/C][C]110.959981430437[/C][C]0.0106291866574512[/C][/ROW]
[ROW][C]0.96[/C][C]110.965016383328[/C][C]0.00937972127805752[/C][/ROW]
[ROW][C]0.97[/C][C]110.971048863551[/C][C]0.00899788885485709[/C][/ROW]
[ROW][C]0.98[/C][C]110.979548539574[/C][C]0.0125381242846715[/C][/ROW]
[ROW][C]0.99[/C][C]110.990744758258[/C][C]0.0212787248929692[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213207&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213207&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01103.4491898798460.0439363900970657
0.02103.4727332955670.0267376225037544
0.03103.4912540305090.0210843505297056
0.04103.5068430829150.0335054965702684
0.05103.5258896733050.0604700330364425
0.06103.5543375145870.099961337205471
0.07103.59690011020.153071796592039
0.08103.6577499692410.223512613114499
0.09103.7411710567140.315452263774044
0.1103.851455038630.428730578630331
0.11103.9918417336220.5548936328886
0.12104.1629015738320.678570359893986
0.13104.3611833889770.780197721651803
0.14104.5789084713740.842639618558113
0.15104.8050109473670.856127102585892
0.16105.0272112258280.820804861798152
0.17105.2344010695310.746048303813208
0.18105.4185791920930.647164049874082
0.19105.5758477237280.541275676326775
0.2105.706373262940.443629118291342
0.21105.8135423166060.36582855527954
0.22105.9026987185020.314329828735075
0.23105.9798416078770.290231560847902
0.24106.0505514900920.289060287144835
0.25106.1192742603540.303037972820376
0.26106.1889799263160.323761005742912
0.27106.2611421514830.344423701535825
0.28106.3359515977180.360369721668546
0.29106.4126673442940.369076656365524
0.3106.4900159318480.369544297656761
0.31106.5665618693040.36246591275904
0.32106.6409950035730.349419961593969
0.33106.7123069064690.332549449736121
0.34106.7798561759210.314012107668653
0.35106.843345661020.295185124535463
0.36106.9027482679090.277104081719339
0.37106.9582201730660.260180776995207
0.38107.0100324687950.244582351638112
0.39107.058538653370.230319445242851
0.4107.1041809497370.217990427376359
0.41107.1475271818070.208296784270904
0.42107.1893237415870.202464379341491
0.43107.2305487429260.20211800490252
0.44107.2724510441280.209158302951566
0.45107.316563389520.225354294385076
0.46107.3646801236690.252081349626506
0.47107.4187916567740.29012633723419
0.48107.4809701441680.339647152230635
0.49107.5532052592270.399485105753252
0.5107.6371966655090.467320973778499
0.51107.7341207203180.539753262177171
0.52107.8444011710820.612089590472354
0.53107.9675236346680.678966332426337
0.54108.1019372998770.734539066930356
0.55108.2450811768930.773741409380355
0.56108.3935552442250.792494346850191
0.57108.5434311592380.788733660119257
0.58108.6906680691030.763062899632562
0.59108.8315735941710.718140875894688
0.6108.9632351332020.659043820695477
0.61109.0838467701190.592347314533259
0.62109.1928729833220.525018979967091
0.63109.2910188666980.464078135275739
0.64109.3800115626420.415179830756082
0.65109.4622318367350.381736903315688
0.66109.5402615648480.364253715358829
0.67109.6164275596490.359945227880777
0.68109.692422178740.363618623089982
0.69109.7690664583440.3693879730086
0.7109.8462543415530.371805104698706
0.71109.9230814255660.367236190264653
0.72109.9981251009890.353720363473549
0.73110.0698128044550.331486629418538
0.74110.1367987151130.302478385063979
0.75110.1982711874240.270073851827379
0.76110.254133232630.23812739873519
0.77110.3050305123960.210525734279212
0.78110.3522355302010.190350616151945
0.79110.3974225135620.179184795960485
0.8110.4423786005750.177031322782762
0.81110.4886946066910.18208247283049
0.82110.5374711751750.191317103774917
0.83110.5890738726560.201137240887635
0.84110.6429783227730.207684737904952
0.85110.6977565765880.207418499229681
0.86110.7512512301880.197981930159282
0.87110.8009479651270.17867781993192
0.88110.8444905294230.151094555661636
0.89110.8802101705990.11871081225526
0.9110.9075054319070.0859790521395833
0.91110.926939044670.0571454493837227
0.92110.9400121910020.0350440495012863
0.93110.9486930543440.0207208234426271
0.94110.9548725911540.013353374942854
0.95110.9599814304370.0106291866574512
0.96110.9650163833280.00937972127805752
0.97110.9710488635510.00899788885485709
0.98110.9795485395740.0125381242846715
0.99110.9907447582580.0212787248929692



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')