FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationMon, 14 Nov 2011 13:21:52 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/14/t1321294942d4ptzqyq381uftj.htm/, Retrieved Fri, 19 Apr 2024 06:28:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=142167, Retrieved Fri, 19 Apr 2024 06:28:32 +0000
QR Codes:

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

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Percentiles] [Percentiles of ti...] [2010-09-25 09:52:29] [b98453cac15ba1066b407e146608df68]
- RMPD    [Harrell-Davis Quantiles] [] [2011-11-14 18:21:52] [87b6e955a128bfb8d1e350b3ce0d281e] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
14.69
20.15
11.78
21.47
17.54
21.47
18.55
14.33
8.78
17.66
19.64
13.25
16.17
9.66
20.45
24.21
19.65
21.33
14.47
16.22
16.66
19.87
14.55
19.41
20.63
9.12
8.36
19.36
25.78
14.66
27.55
22.63
30.33
22.22
11.99
9.47
10.33
15.36
14.99
17.31
18.94
16.54
18.21
11.74
17.41
9.99
21.14
19.70
14.87
19.65
27.65
13.45
20.00
13.47
18.54
20.00
11.47
28.65
24.14
19.87
17.65
13.69
15.47
11.63
10.24
13.54
11.00
19.74
21.25
29.54
11.41
10.87
8.47
12.69
10.14
18.63
22.54
17.65
16.41
17.65
19.87
21.45
22.65
20.69
23.74
20.96
18.35
17.84
20.54
21.63
27.61
19.47
23.52
25.64
19.33
20.64
18.98
15.67
23.74
22.89
24.66
29.40
19.87
17.55
15.94
21.74
23.51
24.84
18.47
21.01
16.74
27.45
19.54
17.74
21.65
24.74
26.89
23.22
20.16
21.88

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'AstonUniversity' @ aston.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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=142167&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=142167&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=142167&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 time2 seconds
R Server'AstonUniversity' @ aston.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.018.502940595308580.251943510591366
0.028.785307032356560.412220615663525
0.039.120944422726240.484151620827968
0.049.450756477019520.50074496334137
0.059.753718648799750.505133088637418
0.0610.03285717587060.524214511868053
0.0710.29969119958510.562974666981918
0.0810.56389883336570.60835309138647
0.0910.82940911870060.646373002095461
0.111.09608929854930.676189098442018
0.1111.36376500579490.709110470251912
0.1211.63465824693080.756256064114158
0.1311.91258064525570.817180928650237
0.1412.2001556526680.879486490220238
0.1512.49652541474360.927197415439394
0.1612.79709248492210.949762980665558
0.1713.09516141418130.945785752884864
0.1813.38426003087270.921499427825416
0.1913.65991356185790.88652927683656
0.213.92032432776450.850006766050726
0.2114.16610603646090.818649186773701
0.2214.39953233551250.796450801015307
0.2314.62369787033950.785072752451721
0.2414.84179171934730.783957928982178
0.2515.05654249609820.790546333299376
0.2615.26985273148410.801024747260604
0.2715.48263710305730.811384282064704
0.2815.69485697424120.818225450100929
0.2915.90569997816320.819272525547212
0.316.11382285124280.813322144313024
0.3116.31758561050730.799770275371655
0.3216.51524915976980.778453614575787
0.3316.70515426386660.749873303035476
0.3416.88591578198990.715159982247084
0.3517.05664295975440.676659888617719
0.3617.21715203133790.637844159899068
0.3717.36810244814060.602857587377506
0.3817.51098738328380.575725410333912
0.3917.64794689237440.559225512204937
0.417.78143075873570.554046710480064
0.4117.91378951928170.558585372910942
0.4218.04689341715870.56952574119175
0.4318.18186338309150.582887868392536
0.4418.31895667125390.594586064170836
0.4518.45760326686360.601443135091884
0.4618.59655640098550.601004233816713
0.4718.734109508750.59202131147398
0.4818.86833869348440.574084173755595
0.4918.99734332287560.547722494993353
0.519.11946778713590.514491971668406
0.5119.23349087008720.476508688808214
0.5219.33876828684750.436572977126035
0.5319.43531415409130.397783449231776
0.5419.52381211054070.363125156427915
0.5519.60555601136980.335194889384168
0.5619.68232995573510.316091793240153
0.5719.75624408976930.306992979691063
0.5819.82954481837930.308078877142816
0.5919.90441731277870.318488001879088
0.619.98279721780210.336532547206028
0.6120.06620864962250.359904341931268
0.6220.15564582412920.385837813991995
0.6320.25151332173490.411638277007666
0.6420.35363335758460.434872935207553
0.6520.46131874297150.453657124334799
0.6620.57350152953590.466826758589304
0.6720.68890371085490.473876658210853
0.6820.80623841341380.475191878925348
0.6920.92443324820.471943233333242
0.721.04286457320750.466286900389817
0.7121.16157761126480.461162343664615
0.7221.28144602436560.460187235221508
0.7321.40420835674190.466986632713722
0.7421.5323244262930.484246653140566
0.7521.66863254732760.512605876009822
0.7621.81585243867860.550142585424318
0.7721.97604478782950.592738897655854
0.7822.15017500821860.635064690174662
0.7922.33791492617780.671817988419854
0.822.53775636722950.699098231233203
0.8122.74743210964890.715016939887772
0.8222.96457354274830.72029814418407
0.8323.18749699259320.718204828765779
0.8423.41600315013030.714406699365961
0.8523.65209255116610.716179572607203
0.8623.90052570273940.73160959422317
0.8724.1691168174910.768406344425254
0.8824.46842478579960.832289661050066
0.8924.81009168841290.923098293834366
0.925.2029050247261.02784777751468
0.9125.64668503261291.11563596178014
0.9226.12707352167351.14365614353581
0.9326.61788660717921.08203037703902
0.9427.09675697028750.949992793911705
0.9527.56786212245510.832958549171944
0.9628.06642038283140.817133764805749
0.9728.62367962524080.834486596470103
0.9829.2326522158320.72665935328123
0.9929.86433631766180.627799724822855

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 8.50294059530858 & 0.251943510591366 \tabularnewline
0.02 & 8.78530703235656 & 0.412220615663525 \tabularnewline
0.03 & 9.12094442272624 & 0.484151620827968 \tabularnewline
0.04 & 9.45075647701952 & 0.50074496334137 \tabularnewline
0.05 & 9.75371864879975 & 0.505133088637418 \tabularnewline
0.06 & 10.0328571758706 & 0.524214511868053 \tabularnewline
0.07 & 10.2996911995851 & 0.562974666981918 \tabularnewline
0.08 & 10.5638988333657 & 0.60835309138647 \tabularnewline
0.09 & 10.8294091187006 & 0.646373002095461 \tabularnewline
0.1 & 11.0960892985493 & 0.676189098442018 \tabularnewline
0.11 & 11.3637650057949 & 0.709110470251912 \tabularnewline
0.12 & 11.6346582469308 & 0.756256064114158 \tabularnewline
0.13 & 11.9125806452557 & 0.817180928650237 \tabularnewline
0.14 & 12.200155652668 & 0.879486490220238 \tabularnewline
0.15 & 12.4965254147436 & 0.927197415439394 \tabularnewline
0.16 & 12.7970924849221 & 0.949762980665558 \tabularnewline
0.17 & 13.0951614141813 & 0.945785752884864 \tabularnewline
0.18 & 13.3842600308727 & 0.921499427825416 \tabularnewline
0.19 & 13.6599135618579 & 0.88652927683656 \tabularnewline
0.2 & 13.9203243277645 & 0.850006766050726 \tabularnewline
0.21 & 14.1661060364609 & 0.818649186773701 \tabularnewline
0.22 & 14.3995323355125 & 0.796450801015307 \tabularnewline
0.23 & 14.6236978703395 & 0.785072752451721 \tabularnewline
0.24 & 14.8417917193473 & 0.783957928982178 \tabularnewline
0.25 & 15.0565424960982 & 0.790546333299376 \tabularnewline
0.26 & 15.2698527314841 & 0.801024747260604 \tabularnewline
0.27 & 15.4826371030573 & 0.811384282064704 \tabularnewline
0.28 & 15.6948569742412 & 0.818225450100929 \tabularnewline
0.29 & 15.9056999781632 & 0.819272525547212 \tabularnewline
0.3 & 16.1138228512428 & 0.813322144313024 \tabularnewline
0.31 & 16.3175856105073 & 0.799770275371655 \tabularnewline
0.32 & 16.5152491597698 & 0.778453614575787 \tabularnewline
0.33 & 16.7051542638666 & 0.749873303035476 \tabularnewline
0.34 & 16.8859157819899 & 0.715159982247084 \tabularnewline
0.35 & 17.0566429597544 & 0.676659888617719 \tabularnewline
0.36 & 17.2171520313379 & 0.637844159899068 \tabularnewline
0.37 & 17.3681024481406 & 0.602857587377506 \tabularnewline
0.38 & 17.5109873832838 & 0.575725410333912 \tabularnewline
0.39 & 17.6479468923744 & 0.559225512204937 \tabularnewline
0.4 & 17.7814307587357 & 0.554046710480064 \tabularnewline
0.41 & 17.9137895192817 & 0.558585372910942 \tabularnewline
0.42 & 18.0468934171587 & 0.56952574119175 \tabularnewline
0.43 & 18.1818633830915 & 0.582887868392536 \tabularnewline
0.44 & 18.3189566712539 & 0.594586064170836 \tabularnewline
0.45 & 18.4576032668636 & 0.601443135091884 \tabularnewline
0.46 & 18.5965564009855 & 0.601004233816713 \tabularnewline
0.47 & 18.73410950875 & 0.59202131147398 \tabularnewline
0.48 & 18.8683386934844 & 0.574084173755595 \tabularnewline
0.49 & 18.9973433228756 & 0.547722494993353 \tabularnewline
0.5 & 19.1194677871359 & 0.514491971668406 \tabularnewline
0.51 & 19.2334908700872 & 0.476508688808214 \tabularnewline
0.52 & 19.3387682868475 & 0.436572977126035 \tabularnewline
0.53 & 19.4353141540913 & 0.397783449231776 \tabularnewline
0.54 & 19.5238121105407 & 0.363125156427915 \tabularnewline
0.55 & 19.6055560113698 & 0.335194889384168 \tabularnewline
0.56 & 19.6823299557351 & 0.316091793240153 \tabularnewline
0.57 & 19.7562440897693 & 0.306992979691063 \tabularnewline
0.58 & 19.8295448183793 & 0.308078877142816 \tabularnewline
0.59 & 19.9044173127787 & 0.318488001879088 \tabularnewline
0.6 & 19.9827972178021 & 0.336532547206028 \tabularnewline
0.61 & 20.0662086496225 & 0.359904341931268 \tabularnewline
0.62 & 20.1556458241292 & 0.385837813991995 \tabularnewline
0.63 & 20.2515133217349 & 0.411638277007666 \tabularnewline
0.64 & 20.3536333575846 & 0.434872935207553 \tabularnewline
0.65 & 20.4613187429715 & 0.453657124334799 \tabularnewline
0.66 & 20.5735015295359 & 0.466826758589304 \tabularnewline
0.67 & 20.6889037108549 & 0.473876658210853 \tabularnewline
0.68 & 20.8062384134138 & 0.475191878925348 \tabularnewline
0.69 & 20.9244332482 & 0.471943233333242 \tabularnewline
0.7 & 21.0428645732075 & 0.466286900389817 \tabularnewline
0.71 & 21.1615776112648 & 0.461162343664615 \tabularnewline
0.72 & 21.2814460243656 & 0.460187235221508 \tabularnewline
0.73 & 21.4042083567419 & 0.466986632713722 \tabularnewline
0.74 & 21.532324426293 & 0.484246653140566 \tabularnewline
0.75 & 21.6686325473276 & 0.512605876009822 \tabularnewline
0.76 & 21.8158524386786 & 0.550142585424318 \tabularnewline
0.77 & 21.9760447878295 & 0.592738897655854 \tabularnewline
0.78 & 22.1501750082186 & 0.635064690174662 \tabularnewline
0.79 & 22.3379149261778 & 0.671817988419854 \tabularnewline
0.8 & 22.5377563672295 & 0.699098231233203 \tabularnewline
0.81 & 22.7474321096489 & 0.715016939887772 \tabularnewline
0.82 & 22.9645735427483 & 0.72029814418407 \tabularnewline
0.83 & 23.1874969925932 & 0.718204828765779 \tabularnewline
0.84 & 23.4160031501303 & 0.714406699365961 \tabularnewline
0.85 & 23.6520925511661 & 0.716179572607203 \tabularnewline
0.86 & 23.9005257027394 & 0.73160959422317 \tabularnewline
0.87 & 24.169116817491 & 0.768406344425254 \tabularnewline
0.88 & 24.4684247857996 & 0.832289661050066 \tabularnewline
0.89 & 24.8100916884129 & 0.923098293834366 \tabularnewline
0.9 & 25.202905024726 & 1.02784777751468 \tabularnewline
0.91 & 25.6466850326129 & 1.11563596178014 \tabularnewline
0.92 & 26.1270735216735 & 1.14365614353581 \tabularnewline
0.93 & 26.6178866071792 & 1.08203037703902 \tabularnewline
0.94 & 27.0967569702875 & 0.949992793911705 \tabularnewline
0.95 & 27.5678621224551 & 0.832958549171944 \tabularnewline
0.96 & 28.0664203828314 & 0.817133764805749 \tabularnewline
0.97 & 28.6236796252408 & 0.834486596470103 \tabularnewline
0.98 & 29.232652215832 & 0.72665935328123 \tabularnewline
0.99 & 29.8643363176618 & 0.627799724822855 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=142167&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]8.50294059530858[/C][C]0.251943510591366[/C][/ROW]
[ROW][C]0.02[/C][C]8.78530703235656[/C][C]0.412220615663525[/C][/ROW]
[ROW][C]0.03[/C][C]9.12094442272624[/C][C]0.484151620827968[/C][/ROW]
[ROW][C]0.04[/C][C]9.45075647701952[/C][C]0.50074496334137[/C][/ROW]
[ROW][C]0.05[/C][C]9.75371864879975[/C][C]0.505133088637418[/C][/ROW]
[ROW][C]0.06[/C][C]10.0328571758706[/C][C]0.524214511868053[/C][/ROW]
[ROW][C]0.07[/C][C]10.2996911995851[/C][C]0.562974666981918[/C][/ROW]
[ROW][C]0.08[/C][C]10.5638988333657[/C][C]0.60835309138647[/C][/ROW]
[ROW][C]0.09[/C][C]10.8294091187006[/C][C]0.646373002095461[/C][/ROW]
[ROW][C]0.1[/C][C]11.0960892985493[/C][C]0.676189098442018[/C][/ROW]
[ROW][C]0.11[/C][C]11.3637650057949[/C][C]0.709110470251912[/C][/ROW]
[ROW][C]0.12[/C][C]11.6346582469308[/C][C]0.756256064114158[/C][/ROW]
[ROW][C]0.13[/C][C]11.9125806452557[/C][C]0.817180928650237[/C][/ROW]
[ROW][C]0.14[/C][C]12.200155652668[/C][C]0.879486490220238[/C][/ROW]
[ROW][C]0.15[/C][C]12.4965254147436[/C][C]0.927197415439394[/C][/ROW]
[ROW][C]0.16[/C][C]12.7970924849221[/C][C]0.949762980665558[/C][/ROW]
[ROW][C]0.17[/C][C]13.0951614141813[/C][C]0.945785752884864[/C][/ROW]
[ROW][C]0.18[/C][C]13.3842600308727[/C][C]0.921499427825416[/C][/ROW]
[ROW][C]0.19[/C][C]13.6599135618579[/C][C]0.88652927683656[/C][/ROW]
[ROW][C]0.2[/C][C]13.9203243277645[/C][C]0.850006766050726[/C][/ROW]
[ROW][C]0.21[/C][C]14.1661060364609[/C][C]0.818649186773701[/C][/ROW]
[ROW][C]0.22[/C][C]14.3995323355125[/C][C]0.796450801015307[/C][/ROW]
[ROW][C]0.23[/C][C]14.6236978703395[/C][C]0.785072752451721[/C][/ROW]
[ROW][C]0.24[/C][C]14.8417917193473[/C][C]0.783957928982178[/C][/ROW]
[ROW][C]0.25[/C][C]15.0565424960982[/C][C]0.790546333299376[/C][/ROW]
[ROW][C]0.26[/C][C]15.2698527314841[/C][C]0.801024747260604[/C][/ROW]
[ROW][C]0.27[/C][C]15.4826371030573[/C][C]0.811384282064704[/C][/ROW]
[ROW][C]0.28[/C][C]15.6948569742412[/C][C]0.818225450100929[/C][/ROW]
[ROW][C]0.29[/C][C]15.9056999781632[/C][C]0.819272525547212[/C][/ROW]
[ROW][C]0.3[/C][C]16.1138228512428[/C][C]0.813322144313024[/C][/ROW]
[ROW][C]0.31[/C][C]16.3175856105073[/C][C]0.799770275371655[/C][/ROW]
[ROW][C]0.32[/C][C]16.5152491597698[/C][C]0.778453614575787[/C][/ROW]
[ROW][C]0.33[/C][C]16.7051542638666[/C][C]0.749873303035476[/C][/ROW]
[ROW][C]0.34[/C][C]16.8859157819899[/C][C]0.715159982247084[/C][/ROW]
[ROW][C]0.35[/C][C]17.0566429597544[/C][C]0.676659888617719[/C][/ROW]
[ROW][C]0.36[/C][C]17.2171520313379[/C][C]0.637844159899068[/C][/ROW]
[ROW][C]0.37[/C][C]17.3681024481406[/C][C]0.602857587377506[/C][/ROW]
[ROW][C]0.38[/C][C]17.5109873832838[/C][C]0.575725410333912[/C][/ROW]
[ROW][C]0.39[/C][C]17.6479468923744[/C][C]0.559225512204937[/C][/ROW]
[ROW][C]0.4[/C][C]17.7814307587357[/C][C]0.554046710480064[/C][/ROW]
[ROW][C]0.41[/C][C]17.9137895192817[/C][C]0.558585372910942[/C][/ROW]
[ROW][C]0.42[/C][C]18.0468934171587[/C][C]0.56952574119175[/C][/ROW]
[ROW][C]0.43[/C][C]18.1818633830915[/C][C]0.582887868392536[/C][/ROW]
[ROW][C]0.44[/C][C]18.3189566712539[/C][C]0.594586064170836[/C][/ROW]
[ROW][C]0.45[/C][C]18.4576032668636[/C][C]0.601443135091884[/C][/ROW]
[ROW][C]0.46[/C][C]18.5965564009855[/C][C]0.601004233816713[/C][/ROW]
[ROW][C]0.47[/C][C]18.73410950875[/C][C]0.59202131147398[/C][/ROW]
[ROW][C]0.48[/C][C]18.8683386934844[/C][C]0.574084173755595[/C][/ROW]
[ROW][C]0.49[/C][C]18.9973433228756[/C][C]0.547722494993353[/C][/ROW]
[ROW][C]0.5[/C][C]19.1194677871359[/C][C]0.514491971668406[/C][/ROW]
[ROW][C]0.51[/C][C]19.2334908700872[/C][C]0.476508688808214[/C][/ROW]
[ROW][C]0.52[/C][C]19.3387682868475[/C][C]0.436572977126035[/C][/ROW]
[ROW][C]0.53[/C][C]19.4353141540913[/C][C]0.397783449231776[/C][/ROW]
[ROW][C]0.54[/C][C]19.5238121105407[/C][C]0.363125156427915[/C][/ROW]
[ROW][C]0.55[/C][C]19.6055560113698[/C][C]0.335194889384168[/C][/ROW]
[ROW][C]0.56[/C][C]19.6823299557351[/C][C]0.316091793240153[/C][/ROW]
[ROW][C]0.57[/C][C]19.7562440897693[/C][C]0.306992979691063[/C][/ROW]
[ROW][C]0.58[/C][C]19.8295448183793[/C][C]0.308078877142816[/C][/ROW]
[ROW][C]0.59[/C][C]19.9044173127787[/C][C]0.318488001879088[/C][/ROW]
[ROW][C]0.6[/C][C]19.9827972178021[/C][C]0.336532547206028[/C][/ROW]
[ROW][C]0.61[/C][C]20.0662086496225[/C][C]0.359904341931268[/C][/ROW]
[ROW][C]0.62[/C][C]20.1556458241292[/C][C]0.385837813991995[/C][/ROW]
[ROW][C]0.63[/C][C]20.2515133217349[/C][C]0.411638277007666[/C][/ROW]
[ROW][C]0.64[/C][C]20.3536333575846[/C][C]0.434872935207553[/C][/ROW]
[ROW][C]0.65[/C][C]20.4613187429715[/C][C]0.453657124334799[/C][/ROW]
[ROW][C]0.66[/C][C]20.5735015295359[/C][C]0.466826758589304[/C][/ROW]
[ROW][C]0.67[/C][C]20.6889037108549[/C][C]0.473876658210853[/C][/ROW]
[ROW][C]0.68[/C][C]20.8062384134138[/C][C]0.475191878925348[/C][/ROW]
[ROW][C]0.69[/C][C]20.9244332482[/C][C]0.471943233333242[/C][/ROW]
[ROW][C]0.7[/C][C]21.0428645732075[/C][C]0.466286900389817[/C][/ROW]
[ROW][C]0.71[/C][C]21.1615776112648[/C][C]0.461162343664615[/C][/ROW]
[ROW][C]0.72[/C][C]21.2814460243656[/C][C]0.460187235221508[/C][/ROW]
[ROW][C]0.73[/C][C]21.4042083567419[/C][C]0.466986632713722[/C][/ROW]
[ROW][C]0.74[/C][C]21.532324426293[/C][C]0.484246653140566[/C][/ROW]
[ROW][C]0.75[/C][C]21.6686325473276[/C][C]0.512605876009822[/C][/ROW]
[ROW][C]0.76[/C][C]21.8158524386786[/C][C]0.550142585424318[/C][/ROW]
[ROW][C]0.77[/C][C]21.9760447878295[/C][C]0.592738897655854[/C][/ROW]
[ROW][C]0.78[/C][C]22.1501750082186[/C][C]0.635064690174662[/C][/ROW]
[ROW][C]0.79[/C][C]22.3379149261778[/C][C]0.671817988419854[/C][/ROW]
[ROW][C]0.8[/C][C]22.5377563672295[/C][C]0.699098231233203[/C][/ROW]
[ROW][C]0.81[/C][C]22.7474321096489[/C][C]0.715016939887772[/C][/ROW]
[ROW][C]0.82[/C][C]22.9645735427483[/C][C]0.72029814418407[/C][/ROW]
[ROW][C]0.83[/C][C]23.1874969925932[/C][C]0.718204828765779[/C][/ROW]
[ROW][C]0.84[/C][C]23.4160031501303[/C][C]0.714406699365961[/C][/ROW]
[ROW][C]0.85[/C][C]23.6520925511661[/C][C]0.716179572607203[/C][/ROW]
[ROW][C]0.86[/C][C]23.9005257027394[/C][C]0.73160959422317[/C][/ROW]
[ROW][C]0.87[/C][C]24.169116817491[/C][C]0.768406344425254[/C][/ROW]
[ROW][C]0.88[/C][C]24.4684247857996[/C][C]0.832289661050066[/C][/ROW]
[ROW][C]0.89[/C][C]24.8100916884129[/C][C]0.923098293834366[/C][/ROW]
[ROW][C]0.9[/C][C]25.202905024726[/C][C]1.02784777751468[/C][/ROW]
[ROW][C]0.91[/C][C]25.6466850326129[/C][C]1.11563596178014[/C][/ROW]
[ROW][C]0.92[/C][C]26.1270735216735[/C][C]1.14365614353581[/C][/ROW]
[ROW][C]0.93[/C][C]26.6178866071792[/C][C]1.08203037703902[/C][/ROW]
[ROW][C]0.94[/C][C]27.0967569702875[/C][C]0.949992793911705[/C][/ROW]
[ROW][C]0.95[/C][C]27.5678621224551[/C][C]0.832958549171944[/C][/ROW]
[ROW][C]0.96[/C][C]28.0664203828314[/C][C]0.817133764805749[/C][/ROW]
[ROW][C]0.97[/C][C]28.6236796252408[/C][C]0.834486596470103[/C][/ROW]
[ROW][C]0.98[/C][C]29.232652215832[/C][C]0.72665935328123[/C][/ROW]
[ROW][C]0.99[/C][C]29.8643363176618[/C][C]0.627799724822855[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=142167&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=142167&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
0.018.502940595308580.251943510591366
0.028.785307032356560.412220615663525
0.039.120944422726240.484151620827968
0.049.450756477019520.50074496334137
0.059.753718648799750.505133088637418
0.0610.03285717587060.524214511868053
0.0710.29969119958510.562974666981918
0.0810.56389883336570.60835309138647
0.0910.82940911870060.646373002095461
0.111.09608929854930.676189098442018
0.1111.36376500579490.709110470251912
0.1211.63465824693080.756256064114158
0.1311.91258064525570.817180928650237
0.1412.2001556526680.879486490220238
0.1512.49652541474360.927197415439394
0.1612.79709248492210.949762980665558
0.1713.09516141418130.945785752884864
0.1813.38426003087270.921499427825416
0.1913.65991356185790.88652927683656
0.213.92032432776450.850006766050726
0.2114.16610603646090.818649186773701
0.2214.39953233551250.796450801015307
0.2314.62369787033950.785072752451721
0.2414.84179171934730.783957928982178
0.2515.05654249609820.790546333299376
0.2615.26985273148410.801024747260604
0.2715.48263710305730.811384282064704
0.2815.69485697424120.818225450100929
0.2915.90569997816320.819272525547212
0.316.11382285124280.813322144313024
0.3116.31758561050730.799770275371655
0.3216.51524915976980.778453614575787
0.3316.70515426386660.749873303035476
0.3416.88591578198990.715159982247084
0.3517.05664295975440.676659888617719
0.3617.21715203133790.637844159899068
0.3717.36810244814060.602857587377506
0.3817.51098738328380.575725410333912
0.3917.64794689237440.559225512204937
0.417.78143075873570.554046710480064
0.4117.91378951928170.558585372910942
0.4218.04689341715870.56952574119175
0.4318.18186338309150.582887868392536
0.4418.31895667125390.594586064170836
0.4518.45760326686360.601443135091884
0.4618.59655640098550.601004233816713
0.4718.734109508750.59202131147398
0.4818.86833869348440.574084173755595
0.4918.99734332287560.547722494993353
0.519.11946778713590.514491971668406
0.5119.23349087008720.476508688808214
0.5219.33876828684750.436572977126035
0.5319.43531415409130.397783449231776
0.5419.52381211054070.363125156427915
0.5519.60555601136980.335194889384168
0.5619.68232995573510.316091793240153
0.5719.75624408976930.306992979691063
0.5819.82954481837930.308078877142816
0.5919.90441731277870.318488001879088
0.619.98279721780210.336532547206028
0.6120.06620864962250.359904341931268
0.6220.15564582412920.385837813991995
0.6320.25151332173490.411638277007666
0.6420.35363335758460.434872935207553
0.6520.46131874297150.453657124334799
0.6620.57350152953590.466826758589304
0.6720.68890371085490.473876658210853
0.6820.80623841341380.475191878925348
0.6920.92443324820.471943233333242
0.721.04286457320750.466286900389817
0.7121.16157761126480.461162343664615
0.7221.28144602436560.460187235221508
0.7321.40420835674190.466986632713722
0.7421.5323244262930.484246653140566
0.7521.66863254732760.512605876009822
0.7621.81585243867860.550142585424318
0.7721.97604478782950.592738897655854
0.7822.15017500821860.635064690174662
0.7922.33791492617780.671817988419854
0.822.53775636722950.699098231233203
0.8122.74743210964890.715016939887772
0.8222.96457354274830.72029814418407
0.8323.18749699259320.718204828765779
0.8423.41600315013030.714406699365961
0.8523.65209255116610.716179572607203
0.8623.90052570273940.73160959422317
0.8724.1691168174910.768406344425254
0.8824.46842478579960.832289661050066
0.8924.81009168841290.923098293834366
0.925.2029050247261.02784777751468
0.9125.64668503261291.11563596178014
0.9226.12707352167351.14365614353581
0.9326.61788660717921.08203037703902
0.9427.09675697028750.949992793911705
0.9527.56786212245510.832958549171944
0.9628.06642038283140.817133764805749
0.9728.62367962524080.834486596470103
0.9829.2326522158320.72665935328123
0.9929.86433631766180.627799724822855


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')