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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 17 Dec 2014 12:47:21 +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/2014/Dec/17/t1418820480tjroqozu0hs3u4w.htm/, Retrieved Thu, 16 May 2024 08:15:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270136, Retrieved Thu, 16 May 2024 08:15:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact70

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-06 15:29:08] [4c4ebb0b36a379d1d949ba77427e658a]
- RM D  [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-08 17:37:26] [4c4ebb0b36a379d1d949ba77427e658a]
-    D    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-08 17:38:14] [4c4ebb0b36a379d1d949ba77427e658a]
-    D      [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-08 17:38:46] [4c4ebb0b36a379d1d949ba77427e658a]
- RMPD        [Harrell-Davis Quantiles] [] [2014-12-08 18:00:25] [4c4ebb0b36a379d1d949ba77427e658a]
- R  D            [Harrell-Davis Quantiles] [] [2014-12-17 12:47:21] [d9810f96fa2f1581f787e7f797109997] [Current]
-    D              [Harrell-Davis Quantiles] [] [2014-12-17 12:49:53] [4c4ebb0b36a379d1d949ba77427e658a]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4,35
12,7
18,1
17,85
17,1
19,1
16,1
13,35
18,4
14,7
10,6
12,6
16,2
13,6
14,1
14,5
16,15
14,75
14,8
12,45
12,65
17,35
8,6
18,4
16,1
17,75
15,25
17,65
15,6
16,35
17,65
13,6
11,7
14,35
14,75
18,25
9,9
16
18,25
16,85
18,95
15,6
17,1
16,1
15,4
15,4
13,35
19,1
7,6
19,1
14,75
19,25
13,6
12,75
9,85
15,25
11,9
16,35
12,4
14,35
18,15
17,75
12,35
15,6
19,3
17,1
18,4
19,05
18,55
19,1
12,85
9,5
4,5
13,6
11,7
13,35
17,75
17,6
14,05
16,1
13,35
11,85
11,95
13,2
7,7
14,6

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270136&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270136&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270136&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.014.741377540864120.998765080345126
0.025.556457899112611.65159838636689
0.036.544957080609411.68953931503482
0.047.465184274832571.46508059640748
0.058.227282430254671.28365029127953
0.068.848344990974721.1905937713068
0.079.372463268940171.14051873815231
0.089.832421333585931.1036009183743
0.0910.24503506892061.06319625358638
0.110.61660469345731.00608918749493
0.1110.94812746927720.926110752594778
0.1211.23901580018820.827644709523648
0.1311.48967017742490.722819890513417
0.1411.70276425536460.625146664508458
0.1511.88318616601430.544122955265373
0.1612.03708181460370.483015421966165
0.1712.17069239247730.440033206437505
0.1812.28950883328630.411254040050545
0.1912.39791192817710.39296362652687
0.212.49918861150820.382521307817036
0.2112.59571764069470.378090314677617
0.2212.68916391381470.377846747746213
0.2312.7806187024140.37995399091962
0.2412.8707002229140.38250823274932
0.2512.95965670687570.384063548523344
0.2613.04750020722820.383934017174557
0.2713.13416759715830.382461850807454
0.2813.2196782186660.380813483034936
0.2913.30424806064920.380632297887717
0.313.3883295943740.383509299737762
0.3113.47256793430850.390416745170734
0.3213.55768818952170.401403617528535
0.3313.64434720487030.415462425053248
0.3413.73299044560770.430860628889308
0.3513.82375082332090.445535737217784
0.3613.91641340204640.457491824282639
0.3714.01045257911070.465273884434515
0.3814.10513120503940.468138437195152
0.3914.19963803488460.466189375911058
0.414.29323324783820.460346253662739
0.4114.38537221897770.452060927182715
0.4214.47578442996350.443173350577237
0.4314.5644953476830.43539196491228
0.4414.6517915978830.430075377101819
0.4514.73814103947370.427954221579939
0.4614.82408710616260.428989548921343
0.4714.91013967763840.432564257341558
0.4814.99668265415020.437550875619669
0.4915.08391244090040.442665657798205
0.515.17181369730830.446706330220201
0.5115.26017124503960.448698304717469
0.5215.34861178492060.448018730272406
0.5315.43666683420710.444388776419748
0.5415.52384859536010.437940202057459
0.5515.60973187105660.429148000933684
0.5615.69403595544970.418863480010028
0.5715.77669956213850.408324503052349
0.5815.85793941367880.399084657468306
0.5915.93828052694310.392904865574892
0.616.01854563251540.391541696822457
0.6116.09979445985860.396304196645247
0.6216.18321142768360.407716791108517
0.6316.26995137725190.42525256993479
0.6416.36096447788650.447156024035485
0.6516.45682967947430.470878579059371
0.6616.55762806349870.493382693522628
0.6716.66288197554320.511669968509997
0.6816.77157412527950.523160699638775
0.6916.88224609784060.52608794991011
0.716.99316182089160.519672641944561
0.7117.10251153478620.504178438665515
0.7217.20862690132530.480865285496907
0.7317.31017735608510.451758661171656
0.7417.40632012233080.419491492880399
0.7517.49678058024450.386920960442799
0.7617.58184663816120.356796092401997
0.7717.66227228537130.331319873461744
0.7817.73910292064930.311701037549073
0.7917.81345678975910.297872839385368
0.817.88631723625930.288498011647118
0.8117.95840048568780.281559657366487
0.8218.03015406778920.275153246376668
0.8318.10190625380140.268411408155828
0.8418.17412913875260.261936835930932
0.8518.24770969811380.257880031339441
0.8618.32406874933840.259130808161516
0.8718.40496233073020.267550307139183
0.8818.4918796918480.28193600311562
0.8918.58513060158460.296839203240232
0.918.68295054516360.303809252282989
0.9118.78113179201590.294357105160726
0.9218.87366094370610.263952559684451
0.9318.95451922770880.215012703944867
0.9419.02023895164110.157434570352872
0.9519.07218461644570.106134322474868
0.9619.11702049329220.0775640975588917
0.9719.16373932671030.0782922053377704
0.9819.21680698875880.085112036415938
0.9919.26857616442250.0712016856681337

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 4.74137754086412 & 0.998765080345126 \tabularnewline
0.02 & 5.55645789911261 & 1.65159838636689 \tabularnewline
0.03 & 6.54495708060941 & 1.68953931503482 \tabularnewline
0.04 & 7.46518427483257 & 1.46508059640748 \tabularnewline
0.05 & 8.22728243025467 & 1.28365029127953 \tabularnewline
0.06 & 8.84834499097472 & 1.1905937713068 \tabularnewline
0.07 & 9.37246326894017 & 1.14051873815231 \tabularnewline
0.08 & 9.83242133358593 & 1.1036009183743 \tabularnewline
0.09 & 10.2450350689206 & 1.06319625358638 \tabularnewline
0.1 & 10.6166046934573 & 1.00608918749493 \tabularnewline
0.11 & 10.9481274692772 & 0.926110752594778 \tabularnewline
0.12 & 11.2390158001882 & 0.827644709523648 \tabularnewline
0.13 & 11.4896701774249 & 0.722819890513417 \tabularnewline
0.14 & 11.7027642553646 & 0.625146664508458 \tabularnewline
0.15 & 11.8831861660143 & 0.544122955265373 \tabularnewline
0.16 & 12.0370818146037 & 0.483015421966165 \tabularnewline
0.17 & 12.1706923924773 & 0.440033206437505 \tabularnewline
0.18 & 12.2895088332863 & 0.411254040050545 \tabularnewline
0.19 & 12.3979119281771 & 0.39296362652687 \tabularnewline
0.2 & 12.4991886115082 & 0.382521307817036 \tabularnewline
0.21 & 12.5957176406947 & 0.378090314677617 \tabularnewline
0.22 & 12.6891639138147 & 0.377846747746213 \tabularnewline
0.23 & 12.780618702414 & 0.37995399091962 \tabularnewline
0.24 & 12.870700222914 & 0.38250823274932 \tabularnewline
0.25 & 12.9596567068757 & 0.384063548523344 \tabularnewline
0.26 & 13.0475002072282 & 0.383934017174557 \tabularnewline
0.27 & 13.1341675971583 & 0.382461850807454 \tabularnewline
0.28 & 13.219678218666 & 0.380813483034936 \tabularnewline
0.29 & 13.3042480606492 & 0.380632297887717 \tabularnewline
0.3 & 13.388329594374 & 0.383509299737762 \tabularnewline
0.31 & 13.4725679343085 & 0.390416745170734 \tabularnewline
0.32 & 13.5576881895217 & 0.401403617528535 \tabularnewline
0.33 & 13.6443472048703 & 0.415462425053248 \tabularnewline
0.34 & 13.7329904456077 & 0.430860628889308 \tabularnewline
0.35 & 13.8237508233209 & 0.445535737217784 \tabularnewline
0.36 & 13.9164134020464 & 0.457491824282639 \tabularnewline
0.37 & 14.0104525791107 & 0.465273884434515 \tabularnewline
0.38 & 14.1051312050394 & 0.468138437195152 \tabularnewline
0.39 & 14.1996380348846 & 0.466189375911058 \tabularnewline
0.4 & 14.2932332478382 & 0.460346253662739 \tabularnewline
0.41 & 14.3853722189777 & 0.452060927182715 \tabularnewline
0.42 & 14.4757844299635 & 0.443173350577237 \tabularnewline
0.43 & 14.564495347683 & 0.43539196491228 \tabularnewline
0.44 & 14.651791597883 & 0.430075377101819 \tabularnewline
0.45 & 14.7381410394737 & 0.427954221579939 \tabularnewline
0.46 & 14.8240871061626 & 0.428989548921343 \tabularnewline
0.47 & 14.9101396776384 & 0.432564257341558 \tabularnewline
0.48 & 14.9966826541502 & 0.437550875619669 \tabularnewline
0.49 & 15.0839124409004 & 0.442665657798205 \tabularnewline
0.5 & 15.1718136973083 & 0.446706330220201 \tabularnewline
0.51 & 15.2601712450396 & 0.448698304717469 \tabularnewline
0.52 & 15.3486117849206 & 0.448018730272406 \tabularnewline
0.53 & 15.4366668342071 & 0.444388776419748 \tabularnewline
0.54 & 15.5238485953601 & 0.437940202057459 \tabularnewline
0.55 & 15.6097318710566 & 0.429148000933684 \tabularnewline
0.56 & 15.6940359554497 & 0.418863480010028 \tabularnewline
0.57 & 15.7766995621385 & 0.408324503052349 \tabularnewline
0.58 & 15.8579394136788 & 0.399084657468306 \tabularnewline
0.59 & 15.9382805269431 & 0.392904865574892 \tabularnewline
0.6 & 16.0185456325154 & 0.391541696822457 \tabularnewline
0.61 & 16.0997944598586 & 0.396304196645247 \tabularnewline
0.62 & 16.1832114276836 & 0.407716791108517 \tabularnewline
0.63 & 16.2699513772519 & 0.42525256993479 \tabularnewline
0.64 & 16.3609644778865 & 0.447156024035485 \tabularnewline
0.65 & 16.4568296794743 & 0.470878579059371 \tabularnewline
0.66 & 16.5576280634987 & 0.493382693522628 \tabularnewline
0.67 & 16.6628819755432 & 0.511669968509997 \tabularnewline
0.68 & 16.7715741252795 & 0.523160699638775 \tabularnewline
0.69 & 16.8822460978406 & 0.52608794991011 \tabularnewline
0.7 & 16.9931618208916 & 0.519672641944561 \tabularnewline
0.71 & 17.1025115347862 & 0.504178438665515 \tabularnewline
0.72 & 17.2086269013253 & 0.480865285496907 \tabularnewline
0.73 & 17.3101773560851 & 0.451758661171656 \tabularnewline
0.74 & 17.4063201223308 & 0.419491492880399 \tabularnewline
0.75 & 17.4967805802445 & 0.386920960442799 \tabularnewline
0.76 & 17.5818466381612 & 0.356796092401997 \tabularnewline
0.77 & 17.6622722853713 & 0.331319873461744 \tabularnewline
0.78 & 17.7391029206493 & 0.311701037549073 \tabularnewline
0.79 & 17.8134567897591 & 0.297872839385368 \tabularnewline
0.8 & 17.8863172362593 & 0.288498011647118 \tabularnewline
0.81 & 17.9584004856878 & 0.281559657366487 \tabularnewline
0.82 & 18.0301540677892 & 0.275153246376668 \tabularnewline
0.83 & 18.1019062538014 & 0.268411408155828 \tabularnewline
0.84 & 18.1741291387526 & 0.261936835930932 \tabularnewline
0.85 & 18.2477096981138 & 0.257880031339441 \tabularnewline
0.86 & 18.3240687493384 & 0.259130808161516 \tabularnewline
0.87 & 18.4049623307302 & 0.267550307139183 \tabularnewline
0.88 & 18.491879691848 & 0.28193600311562 \tabularnewline
0.89 & 18.5851306015846 & 0.296839203240232 \tabularnewline
0.9 & 18.6829505451636 & 0.303809252282989 \tabularnewline
0.91 & 18.7811317920159 & 0.294357105160726 \tabularnewline
0.92 & 18.8736609437061 & 0.263952559684451 \tabularnewline
0.93 & 18.9545192277088 & 0.215012703944867 \tabularnewline
0.94 & 19.0202389516411 & 0.157434570352872 \tabularnewline
0.95 & 19.0721846164457 & 0.106134322474868 \tabularnewline
0.96 & 19.1170204932922 & 0.0775640975588917 \tabularnewline
0.97 & 19.1637393267103 & 0.0782922053377704 \tabularnewline
0.98 & 19.2168069887588 & 0.085112036415938 \tabularnewline
0.99 & 19.2685761644225 & 0.0712016856681337 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270136&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]4.74137754086412[/C][C]0.998765080345126[/C][/ROW]
[ROW][C]0.02[/C][C]5.55645789911261[/C][C]1.65159838636689[/C][/ROW]
[ROW][C]0.03[/C][C]6.54495708060941[/C][C]1.68953931503482[/C][/ROW]
[ROW][C]0.04[/C][C]7.46518427483257[/C][C]1.46508059640748[/C][/ROW]
[ROW][C]0.05[/C][C]8.22728243025467[/C][C]1.28365029127953[/C][/ROW]
[ROW][C]0.06[/C][C]8.84834499097472[/C][C]1.1905937713068[/C][/ROW]
[ROW][C]0.07[/C][C]9.37246326894017[/C][C]1.14051873815231[/C][/ROW]
[ROW][C]0.08[/C][C]9.83242133358593[/C][C]1.1036009183743[/C][/ROW]
[ROW][C]0.09[/C][C]10.2450350689206[/C][C]1.06319625358638[/C][/ROW]
[ROW][C]0.1[/C][C]10.6166046934573[/C][C]1.00608918749493[/C][/ROW]
[ROW][C]0.11[/C][C]10.9481274692772[/C][C]0.926110752594778[/C][/ROW]
[ROW][C]0.12[/C][C]11.2390158001882[/C][C]0.827644709523648[/C][/ROW]
[ROW][C]0.13[/C][C]11.4896701774249[/C][C]0.722819890513417[/C][/ROW]
[ROW][C]0.14[/C][C]11.7027642553646[/C][C]0.625146664508458[/C][/ROW]
[ROW][C]0.15[/C][C]11.8831861660143[/C][C]0.544122955265373[/C][/ROW]
[ROW][C]0.16[/C][C]12.0370818146037[/C][C]0.483015421966165[/C][/ROW]
[ROW][C]0.17[/C][C]12.1706923924773[/C][C]0.440033206437505[/C][/ROW]
[ROW][C]0.18[/C][C]12.2895088332863[/C][C]0.411254040050545[/C][/ROW]
[ROW][C]0.19[/C][C]12.3979119281771[/C][C]0.39296362652687[/C][/ROW]
[ROW][C]0.2[/C][C]12.4991886115082[/C][C]0.382521307817036[/C][/ROW]
[ROW][C]0.21[/C][C]12.5957176406947[/C][C]0.378090314677617[/C][/ROW]
[ROW][C]0.22[/C][C]12.6891639138147[/C][C]0.377846747746213[/C][/ROW]
[ROW][C]0.23[/C][C]12.780618702414[/C][C]0.37995399091962[/C][/ROW]
[ROW][C]0.24[/C][C]12.870700222914[/C][C]0.38250823274932[/C][/ROW]
[ROW][C]0.25[/C][C]12.9596567068757[/C][C]0.384063548523344[/C][/ROW]
[ROW][C]0.26[/C][C]13.0475002072282[/C][C]0.383934017174557[/C][/ROW]
[ROW][C]0.27[/C][C]13.1341675971583[/C][C]0.382461850807454[/C][/ROW]
[ROW][C]0.28[/C][C]13.219678218666[/C][C]0.380813483034936[/C][/ROW]
[ROW][C]0.29[/C][C]13.3042480606492[/C][C]0.380632297887717[/C][/ROW]
[ROW][C]0.3[/C][C]13.388329594374[/C][C]0.383509299737762[/C][/ROW]
[ROW][C]0.31[/C][C]13.4725679343085[/C][C]0.390416745170734[/C][/ROW]
[ROW][C]0.32[/C][C]13.5576881895217[/C][C]0.401403617528535[/C][/ROW]
[ROW][C]0.33[/C][C]13.6443472048703[/C][C]0.415462425053248[/C][/ROW]
[ROW][C]0.34[/C][C]13.7329904456077[/C][C]0.430860628889308[/C][/ROW]
[ROW][C]0.35[/C][C]13.8237508233209[/C][C]0.445535737217784[/C][/ROW]
[ROW][C]0.36[/C][C]13.9164134020464[/C][C]0.457491824282639[/C][/ROW]
[ROW][C]0.37[/C][C]14.0104525791107[/C][C]0.465273884434515[/C][/ROW]
[ROW][C]0.38[/C][C]14.1051312050394[/C][C]0.468138437195152[/C][/ROW]
[ROW][C]0.39[/C][C]14.1996380348846[/C][C]0.466189375911058[/C][/ROW]
[ROW][C]0.4[/C][C]14.2932332478382[/C][C]0.460346253662739[/C][/ROW]
[ROW][C]0.41[/C][C]14.3853722189777[/C][C]0.452060927182715[/C][/ROW]
[ROW][C]0.42[/C][C]14.4757844299635[/C][C]0.443173350577237[/C][/ROW]
[ROW][C]0.43[/C][C]14.564495347683[/C][C]0.43539196491228[/C][/ROW]
[ROW][C]0.44[/C][C]14.651791597883[/C][C]0.430075377101819[/C][/ROW]
[ROW][C]0.45[/C][C]14.7381410394737[/C][C]0.427954221579939[/C][/ROW]
[ROW][C]0.46[/C][C]14.8240871061626[/C][C]0.428989548921343[/C][/ROW]
[ROW][C]0.47[/C][C]14.9101396776384[/C][C]0.432564257341558[/C][/ROW]
[ROW][C]0.48[/C][C]14.9966826541502[/C][C]0.437550875619669[/C][/ROW]
[ROW][C]0.49[/C][C]15.0839124409004[/C][C]0.442665657798205[/C][/ROW]
[ROW][C]0.5[/C][C]15.1718136973083[/C][C]0.446706330220201[/C][/ROW]
[ROW][C]0.51[/C][C]15.2601712450396[/C][C]0.448698304717469[/C][/ROW]
[ROW][C]0.52[/C][C]15.3486117849206[/C][C]0.448018730272406[/C][/ROW]
[ROW][C]0.53[/C][C]15.4366668342071[/C][C]0.444388776419748[/C][/ROW]
[ROW][C]0.54[/C][C]15.5238485953601[/C][C]0.437940202057459[/C][/ROW]
[ROW][C]0.55[/C][C]15.6097318710566[/C][C]0.429148000933684[/C][/ROW]
[ROW][C]0.56[/C][C]15.6940359554497[/C][C]0.418863480010028[/C][/ROW]
[ROW][C]0.57[/C][C]15.7766995621385[/C][C]0.408324503052349[/C][/ROW]
[ROW][C]0.58[/C][C]15.8579394136788[/C][C]0.399084657468306[/C][/ROW]
[ROW][C]0.59[/C][C]15.9382805269431[/C][C]0.392904865574892[/C][/ROW]
[ROW][C]0.6[/C][C]16.0185456325154[/C][C]0.391541696822457[/C][/ROW]
[ROW][C]0.61[/C][C]16.0997944598586[/C][C]0.396304196645247[/C][/ROW]
[ROW][C]0.62[/C][C]16.1832114276836[/C][C]0.407716791108517[/C][/ROW]
[ROW][C]0.63[/C][C]16.2699513772519[/C][C]0.42525256993479[/C][/ROW]
[ROW][C]0.64[/C][C]16.3609644778865[/C][C]0.447156024035485[/C][/ROW]
[ROW][C]0.65[/C][C]16.4568296794743[/C][C]0.470878579059371[/C][/ROW]
[ROW][C]0.66[/C][C]16.5576280634987[/C][C]0.493382693522628[/C][/ROW]
[ROW][C]0.67[/C][C]16.6628819755432[/C][C]0.511669968509997[/C][/ROW]
[ROW][C]0.68[/C][C]16.7715741252795[/C][C]0.523160699638775[/C][/ROW]
[ROW][C]0.69[/C][C]16.8822460978406[/C][C]0.52608794991011[/C][/ROW]
[ROW][C]0.7[/C][C]16.9931618208916[/C][C]0.519672641944561[/C][/ROW]
[ROW][C]0.71[/C][C]17.1025115347862[/C][C]0.504178438665515[/C][/ROW]
[ROW][C]0.72[/C][C]17.2086269013253[/C][C]0.480865285496907[/C][/ROW]
[ROW][C]0.73[/C][C]17.3101773560851[/C][C]0.451758661171656[/C][/ROW]
[ROW][C]0.74[/C][C]17.4063201223308[/C][C]0.419491492880399[/C][/ROW]
[ROW][C]0.75[/C][C]17.4967805802445[/C][C]0.386920960442799[/C][/ROW]
[ROW][C]0.76[/C][C]17.5818466381612[/C][C]0.356796092401997[/C][/ROW]
[ROW][C]0.77[/C][C]17.6622722853713[/C][C]0.331319873461744[/C][/ROW]
[ROW][C]0.78[/C][C]17.7391029206493[/C][C]0.311701037549073[/C][/ROW]
[ROW][C]0.79[/C][C]17.8134567897591[/C][C]0.297872839385368[/C][/ROW]
[ROW][C]0.8[/C][C]17.8863172362593[/C][C]0.288498011647118[/C][/ROW]
[ROW][C]0.81[/C][C]17.9584004856878[/C][C]0.281559657366487[/C][/ROW]
[ROW][C]0.82[/C][C]18.0301540677892[/C][C]0.275153246376668[/C][/ROW]
[ROW][C]0.83[/C][C]18.1019062538014[/C][C]0.268411408155828[/C][/ROW]
[ROW][C]0.84[/C][C]18.1741291387526[/C][C]0.261936835930932[/C][/ROW]
[ROW][C]0.85[/C][C]18.2477096981138[/C][C]0.257880031339441[/C][/ROW]
[ROW][C]0.86[/C][C]18.3240687493384[/C][C]0.259130808161516[/C][/ROW]
[ROW][C]0.87[/C][C]18.4049623307302[/C][C]0.267550307139183[/C][/ROW]
[ROW][C]0.88[/C][C]18.491879691848[/C][C]0.28193600311562[/C][/ROW]
[ROW][C]0.89[/C][C]18.5851306015846[/C][C]0.296839203240232[/C][/ROW]
[ROW][C]0.9[/C][C]18.6829505451636[/C][C]0.303809252282989[/C][/ROW]
[ROW][C]0.91[/C][C]18.7811317920159[/C][C]0.294357105160726[/C][/ROW]
[ROW][C]0.92[/C][C]18.8736609437061[/C][C]0.263952559684451[/C][/ROW]
[ROW][C]0.93[/C][C]18.9545192277088[/C][C]0.215012703944867[/C][/ROW]
[ROW][C]0.94[/C][C]19.0202389516411[/C][C]0.157434570352872[/C][/ROW]
[ROW][C]0.95[/C][C]19.0721846164457[/C][C]0.106134322474868[/C][/ROW]
[ROW][C]0.96[/C][C]19.1170204932922[/C][C]0.0775640975588917[/C][/ROW]
[ROW][C]0.97[/C][C]19.1637393267103[/C][C]0.0782922053377704[/C][/ROW]
[ROW][C]0.98[/C][C]19.2168069887588[/C][C]0.085112036415938[/C][/ROW]
[ROW][C]0.99[/C][C]19.2685761644225[/C][C]0.0712016856681337[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270136&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270136&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
0.014.741377540864120.998765080345126
0.025.556457899112611.65159838636689
0.036.544957080609411.68953931503482
0.047.465184274832571.46508059640748
0.058.227282430254671.28365029127953
0.068.848344990974721.1905937713068
0.079.372463268940171.14051873815231
0.089.832421333585931.1036009183743
0.0910.24503506892061.06319625358638
0.110.61660469345731.00608918749493
0.1110.94812746927720.926110752594778
0.1211.23901580018820.827644709523648
0.1311.48967017742490.722819890513417
0.1411.70276425536460.625146664508458
0.1511.88318616601430.544122955265373
0.1612.03708181460370.483015421966165
0.1712.17069239247730.440033206437505
0.1812.28950883328630.411254040050545
0.1912.39791192817710.39296362652687
0.212.49918861150820.382521307817036
0.2112.59571764069470.378090314677617
0.2212.68916391381470.377846747746213
0.2312.7806187024140.37995399091962
0.2412.8707002229140.38250823274932
0.2512.95965670687570.384063548523344
0.2613.04750020722820.383934017174557
0.2713.13416759715830.382461850807454
0.2813.2196782186660.380813483034936
0.2913.30424806064920.380632297887717
0.313.3883295943740.383509299737762
0.3113.47256793430850.390416745170734
0.3213.55768818952170.401403617528535
0.3313.64434720487030.415462425053248
0.3413.73299044560770.430860628889308
0.3513.82375082332090.445535737217784
0.3613.91641340204640.457491824282639
0.3714.01045257911070.465273884434515
0.3814.10513120503940.468138437195152
0.3914.19963803488460.466189375911058
0.414.29323324783820.460346253662739
0.4114.38537221897770.452060927182715
0.4214.47578442996350.443173350577237
0.4314.5644953476830.43539196491228
0.4414.6517915978830.430075377101819
0.4514.73814103947370.427954221579939
0.4614.82408710616260.428989548921343
0.4714.91013967763840.432564257341558
0.4814.99668265415020.437550875619669
0.4915.08391244090040.442665657798205
0.515.17181369730830.446706330220201
0.5115.26017124503960.448698304717469
0.5215.34861178492060.448018730272406
0.5315.43666683420710.444388776419748
0.5415.52384859536010.437940202057459
0.5515.60973187105660.429148000933684
0.5615.69403595544970.418863480010028
0.5715.77669956213850.408324503052349
0.5815.85793941367880.399084657468306
0.5915.93828052694310.392904865574892
0.616.01854563251540.391541696822457
0.6116.09979445985860.396304196645247
0.6216.18321142768360.407716791108517
0.6316.26995137725190.42525256993479
0.6416.36096447788650.447156024035485
0.6516.45682967947430.470878579059371
0.6616.55762806349870.493382693522628
0.6716.66288197554320.511669968509997
0.6816.77157412527950.523160699638775
0.6916.88224609784060.52608794991011
0.716.99316182089160.519672641944561
0.7117.10251153478620.504178438665515
0.7217.20862690132530.480865285496907
0.7317.31017735608510.451758661171656
0.7417.40632012233080.419491492880399
0.7517.49678058024450.386920960442799
0.7617.58184663816120.356796092401997
0.7717.66227228537130.331319873461744
0.7817.73910292064930.311701037549073
0.7917.81345678975910.297872839385368
0.817.88631723625930.288498011647118
0.8117.95840048568780.281559657366487
0.8218.03015406778920.275153246376668
0.8318.10190625380140.268411408155828
0.8418.17412913875260.261936835930932
0.8518.24770969811380.257880031339441
0.8618.32406874933840.259130808161516
0.8718.40496233073020.267550307139183
0.8818.4918796918480.28193600311562
0.8918.58513060158460.296839203240232
0.918.68295054516360.303809252282989
0.9118.78113179201590.294357105160726
0.9218.87366094370610.263952559684451
0.9318.95451922770880.215012703944867
0.9419.02023895164110.157434570352872
0.9519.07218461644570.106134322474868
0.9619.11702049329220.0775640975588917
0.9719.16373932671030.0782922053377704
0.9819.21680698875880.085112036415938
0.9919.26857616442250.0712016856681337


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')