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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 computationSun, 02 Mar 2008 04:35:51 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Mar/02/t1204457808orf1n7ix1c7g1nz.htm/, Retrieved Tue, 07 May 2024 00:38:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9481, Retrieved Tue, 07 May 2024 00:38:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact224

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] [Decielen - Oliepr...] [2008-03-02 11:35:51] [f1ad3272590ff3a9e1233970549442f0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
23.11
18.64
14.94
16.90
15.46
11.15
13.13
12.48
12.95
12.59
10.58
10.58
12.39
15.53
13.06
10.22
16.33
19.72
21.31
18.84
24.84
15.67
15.57
12.73
13.56
15.54
17.22
12.14
11.07
12.02
11.55
6.92
10.33
8.38
12.11
11.46
12.75
13.32
13.00
11.90
11.79
12.55
11.84
11.25
11.15
10.99
11.70
14.01
17.51
17.27
16.90
15.79
15.45
16.24
16.71
16.77
16.64
17.80
16.87
16.13
15.76
15.66
15.54
15.30
15.05
14.69
14.39
14.18
13.70
13.66
13.27
13.56
13.14
14.19
22.57
23.09
23.31
22.91
22.36
43.06
64.67
64.68
56.90
48.79
45.21
41.40
22.17
25.52
20.28
22.87
27.63
22.95
21.35
18.38
17.15
18.27
19.40
20.52

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9481&T=0

[TABLE]
[ROW][C]Summary of compuational 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' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9481&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9481&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.017.698080641620371.42880570539613
0.028.765964664460171.24873480210594
0.039.619152852177040.88360461066995
0.0410.16473688520920.56659957057553
0.0510.49508954396820.404206303868201
0.0610.71131807868040.344037931468851
0.0710.87382223323970.317845047149102
0.0811.00990085573620.301408703161673
0.0911.13101176947200.293784827715176
0.111.24313416751740.295730320022551
0.1111.35019180422840.303564901469861
0.1211.45453242067230.312073228280526
0.1311.55709240482930.318157023551797
0.1411.65794560559190.321651128044835
0.1511.75697492935080.324320886029356
0.1611.85430069710790.328166376459559
0.1711.95034725655890.334130839453412
0.1812.04565932207730.341804651376694
0.1912.14065888353890.349823729872497
0.212.23548810492140.356761796596525
0.2112.32999101899260.361507447855712
0.2212.42380933014500.363732935832216
0.2312.51653164513740.363745681556374
0.2412.60783785833940.362422717356991
0.2512.69760370170600.360800795478266
0.2612.78595616039950.360096215447713
0.2712.8732870959420.361465160033932
0.2812.96023749205860.366011737027777
0.2913.04766204624290.374663524702767
0.313.13657901537490.388183119616416
0.3113.22810714955130.406973603848988
0.3213.32339106330440.431000489843361
0.3313.42351730580150.459771699973117
0.3413.52942429739890.492473988532776
0.3513.64180983085740.52775120373724
0.3613.76104068444190.563883580393647
0.3713.88707092887610.59873435958035
0.3814.01937878500650.629943960218397
0.3914.15693524130170.654986154812665
0.414.29821907471610.671495444881924
0.4114.44129051478500.677586671538914
0.4214.58392865558950.672182515472531
0.4314.72382655835810.655172279344253
0.4414.85882507887000.62772121086626
0.4514.98715505564070.59216187070546
0.4615.10765088122130.551847247522664
0.4715.21989894047510.510759050550493
0.4815.32429253379290.473126839041982
0.4915.42197942152960.442807076802066
0.515.51470621711770.422726083084305
0.5115.60458194060600.414365451222841
0.5215.69379763623770.41742811197834
0.5315.78434736544270.429886796567279
0.5415.87779660687650.448582980270785
0.5515.97513691971450.469993540958902
0.5616.07675167621170.490876009853631
0.5716.18249885836220.508712872672791
0.5816.29189635514990.522372777050861
0.5916.40437648436400.532058036832806
0.616.51956324093890.539385956360112
0.6116.63752101441310.547297698831803
0.6216.75892874050690.559270063447156
0.6316.88514811958870.578911356005748
0.6417.01817586474020.609110906303944
0.6517.16049326857160.65149716364123
0.6617.31484608230880.706295566593711
0.6717.48399858087180.77232000863251
0.6817.67050450489040.84746125772097
0.6917.87652436591840.929155518366427
0.718.10369725956711.01454416512495
0.7118.35305291764251.10079487954384
0.7218.62493446723561.18499733921018
0.7318.91890075542861.26381825461642
0.7419.23359132442981.33348415301158
0.7519.56656400662791.38955208449728
0.7619.91414733843441.42712143623319
0.7720.27137914783651.44127358778003
0.7820.6321226659021.42801047491021
0.7920.98946097108871.38517984705327
0.821.33647365248691.31382965641353
0.8121.66750576857841.21958019648495
0.8221.98006218303591.11425561943695
0.8322.27751229109721.0183820914668
0.8422.57285986227370.965672358810303
0.8522.89383198891151.01003398935082
0.8623.28922189021391.22643202754787
0.8723.83534794903201.69661353991489
0.8824.63930338868962.49126948813972
0.8925.83289036895793.64445673413286
0.927.55032504584175.10199852728089
0.9129.88859642212876.66934771644894
0.9232.86476789041628.02032215307027
0.9336.40292668666568.82387031228381
0.9440.38302676275558.97111485171
0.9544.73773320760168.7419628491817
0.9649.49423683201658.60192277052533
0.9754.60342152205078.46114104545404
0.9859.54869164163227.17983941755943
0.9963.20089047236293.71589492039395

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 7.69808064162037 & 1.42880570539613 \tabularnewline
0.02 & 8.76596466446017 & 1.24873480210594 \tabularnewline
0.03 & 9.61915285217704 & 0.88360461066995 \tabularnewline
0.04 & 10.1647368852092 & 0.56659957057553 \tabularnewline
0.05 & 10.4950895439682 & 0.404206303868201 \tabularnewline
0.06 & 10.7113180786804 & 0.344037931468851 \tabularnewline
0.07 & 10.8738222332397 & 0.317845047149102 \tabularnewline
0.08 & 11.0099008557362 & 0.301408703161673 \tabularnewline
0.09 & 11.1310117694720 & 0.293784827715176 \tabularnewline
0.1 & 11.2431341675174 & 0.295730320022551 \tabularnewline
0.11 & 11.3501918042284 & 0.303564901469861 \tabularnewline
0.12 & 11.4545324206723 & 0.312073228280526 \tabularnewline
0.13 & 11.5570924048293 & 0.318157023551797 \tabularnewline
0.14 & 11.6579456055919 & 0.321651128044835 \tabularnewline
0.15 & 11.7569749293508 & 0.324320886029356 \tabularnewline
0.16 & 11.8543006971079 & 0.328166376459559 \tabularnewline
0.17 & 11.9503472565589 & 0.334130839453412 \tabularnewline
0.18 & 12.0456593220773 & 0.341804651376694 \tabularnewline
0.19 & 12.1406588835389 & 0.349823729872497 \tabularnewline
0.2 & 12.2354881049214 & 0.356761796596525 \tabularnewline
0.21 & 12.3299910189926 & 0.361507447855712 \tabularnewline
0.22 & 12.4238093301450 & 0.363732935832216 \tabularnewline
0.23 & 12.5165316451374 & 0.363745681556374 \tabularnewline
0.24 & 12.6078378583394 & 0.362422717356991 \tabularnewline
0.25 & 12.6976037017060 & 0.360800795478266 \tabularnewline
0.26 & 12.7859561603995 & 0.360096215447713 \tabularnewline
0.27 & 12.873287095942 & 0.361465160033932 \tabularnewline
0.28 & 12.9602374920586 & 0.366011737027777 \tabularnewline
0.29 & 13.0476620462429 & 0.374663524702767 \tabularnewline
0.3 & 13.1365790153749 & 0.388183119616416 \tabularnewline
0.31 & 13.2281071495513 & 0.406973603848988 \tabularnewline
0.32 & 13.3233910633044 & 0.431000489843361 \tabularnewline
0.33 & 13.4235173058015 & 0.459771699973117 \tabularnewline
0.34 & 13.5294242973989 & 0.492473988532776 \tabularnewline
0.35 & 13.6418098308574 & 0.52775120373724 \tabularnewline
0.36 & 13.7610406844419 & 0.563883580393647 \tabularnewline
0.37 & 13.8870709288761 & 0.59873435958035 \tabularnewline
0.38 & 14.0193787850065 & 0.629943960218397 \tabularnewline
0.39 & 14.1569352413017 & 0.654986154812665 \tabularnewline
0.4 & 14.2982190747161 & 0.671495444881924 \tabularnewline
0.41 & 14.4412905147850 & 0.677586671538914 \tabularnewline
0.42 & 14.5839286555895 & 0.672182515472531 \tabularnewline
0.43 & 14.7238265583581 & 0.655172279344253 \tabularnewline
0.44 & 14.8588250788700 & 0.62772121086626 \tabularnewline
0.45 & 14.9871550556407 & 0.59216187070546 \tabularnewline
0.46 & 15.1076508812213 & 0.551847247522664 \tabularnewline
0.47 & 15.2198989404751 & 0.510759050550493 \tabularnewline
0.48 & 15.3242925337929 & 0.473126839041982 \tabularnewline
0.49 & 15.4219794215296 & 0.442807076802066 \tabularnewline
0.5 & 15.5147062171177 & 0.422726083084305 \tabularnewline
0.51 & 15.6045819406060 & 0.414365451222841 \tabularnewline
0.52 & 15.6937976362377 & 0.41742811197834 \tabularnewline
0.53 & 15.7843473654427 & 0.429886796567279 \tabularnewline
0.54 & 15.8777966068765 & 0.448582980270785 \tabularnewline
0.55 & 15.9751369197145 & 0.469993540958902 \tabularnewline
0.56 & 16.0767516762117 & 0.490876009853631 \tabularnewline
0.57 & 16.1824988583622 & 0.508712872672791 \tabularnewline
0.58 & 16.2918963551499 & 0.522372777050861 \tabularnewline
0.59 & 16.4043764843640 & 0.532058036832806 \tabularnewline
0.6 & 16.5195632409389 & 0.539385956360112 \tabularnewline
0.61 & 16.6375210144131 & 0.547297698831803 \tabularnewline
0.62 & 16.7589287405069 & 0.559270063447156 \tabularnewline
0.63 & 16.8851481195887 & 0.578911356005748 \tabularnewline
0.64 & 17.0181758647402 & 0.609110906303944 \tabularnewline
0.65 & 17.1604932685716 & 0.65149716364123 \tabularnewline
0.66 & 17.3148460823088 & 0.706295566593711 \tabularnewline
0.67 & 17.4839985808718 & 0.77232000863251 \tabularnewline
0.68 & 17.6705045048904 & 0.84746125772097 \tabularnewline
0.69 & 17.8765243659184 & 0.929155518366427 \tabularnewline
0.7 & 18.1036972595671 & 1.01454416512495 \tabularnewline
0.71 & 18.3530529176425 & 1.10079487954384 \tabularnewline
0.72 & 18.6249344672356 & 1.18499733921018 \tabularnewline
0.73 & 18.9189007554286 & 1.26381825461642 \tabularnewline
0.74 & 19.2335913244298 & 1.33348415301158 \tabularnewline
0.75 & 19.5665640066279 & 1.38955208449728 \tabularnewline
0.76 & 19.9141473384344 & 1.42712143623319 \tabularnewline
0.77 & 20.2713791478365 & 1.44127358778003 \tabularnewline
0.78 & 20.632122665902 & 1.42801047491021 \tabularnewline
0.79 & 20.9894609710887 & 1.38517984705327 \tabularnewline
0.8 & 21.3364736524869 & 1.31382965641353 \tabularnewline
0.81 & 21.6675057685784 & 1.21958019648495 \tabularnewline
0.82 & 21.9800621830359 & 1.11425561943695 \tabularnewline
0.83 & 22.2775122910972 & 1.0183820914668 \tabularnewline
0.84 & 22.5728598622737 & 0.965672358810303 \tabularnewline
0.85 & 22.8938319889115 & 1.01003398935082 \tabularnewline
0.86 & 23.2892218902139 & 1.22643202754787 \tabularnewline
0.87 & 23.8353479490320 & 1.69661353991489 \tabularnewline
0.88 & 24.6393033886896 & 2.49126948813972 \tabularnewline
0.89 & 25.8328903689579 & 3.64445673413286 \tabularnewline
0.9 & 27.5503250458417 & 5.10199852728089 \tabularnewline
0.91 & 29.8885964221287 & 6.66934771644894 \tabularnewline
0.92 & 32.8647678904162 & 8.02032215307027 \tabularnewline
0.93 & 36.4029266866656 & 8.82387031228381 \tabularnewline
0.94 & 40.3830267627555 & 8.97111485171 \tabularnewline
0.95 & 44.7377332076016 & 8.7419628491817 \tabularnewline
0.96 & 49.4942368320165 & 8.60192277052533 \tabularnewline
0.97 & 54.6034215220507 & 8.46114104545404 \tabularnewline
0.98 & 59.5486916416322 & 7.17983941755943 \tabularnewline
0.99 & 63.2008904723629 & 3.71589492039395 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9481&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]7.69808064162037[/C][C]1.42880570539613[/C][/ROW]
[ROW][C]0.02[/C][C]8.76596466446017[/C][C]1.24873480210594[/C][/ROW]
[ROW][C]0.03[/C][C]9.61915285217704[/C][C]0.88360461066995[/C][/ROW]
[ROW][C]0.04[/C][C]10.1647368852092[/C][C]0.56659957057553[/C][/ROW]
[ROW][C]0.05[/C][C]10.4950895439682[/C][C]0.404206303868201[/C][/ROW]
[ROW][C]0.06[/C][C]10.7113180786804[/C][C]0.344037931468851[/C][/ROW]
[ROW][C]0.07[/C][C]10.8738222332397[/C][C]0.317845047149102[/C][/ROW]
[ROW][C]0.08[/C][C]11.0099008557362[/C][C]0.301408703161673[/C][/ROW]
[ROW][C]0.09[/C][C]11.1310117694720[/C][C]0.293784827715176[/C][/ROW]
[ROW][C]0.1[/C][C]11.2431341675174[/C][C]0.295730320022551[/C][/ROW]
[ROW][C]0.11[/C][C]11.3501918042284[/C][C]0.303564901469861[/C][/ROW]
[ROW][C]0.12[/C][C]11.4545324206723[/C][C]0.312073228280526[/C][/ROW]
[ROW][C]0.13[/C][C]11.5570924048293[/C][C]0.318157023551797[/C][/ROW]
[ROW][C]0.14[/C][C]11.6579456055919[/C][C]0.321651128044835[/C][/ROW]
[ROW][C]0.15[/C][C]11.7569749293508[/C][C]0.324320886029356[/C][/ROW]
[ROW][C]0.16[/C][C]11.8543006971079[/C][C]0.328166376459559[/C][/ROW]
[ROW][C]0.17[/C][C]11.9503472565589[/C][C]0.334130839453412[/C][/ROW]
[ROW][C]0.18[/C][C]12.0456593220773[/C][C]0.341804651376694[/C][/ROW]
[ROW][C]0.19[/C][C]12.1406588835389[/C][C]0.349823729872497[/C][/ROW]
[ROW][C]0.2[/C][C]12.2354881049214[/C][C]0.356761796596525[/C][/ROW]
[ROW][C]0.21[/C][C]12.3299910189926[/C][C]0.361507447855712[/C][/ROW]
[ROW][C]0.22[/C][C]12.4238093301450[/C][C]0.363732935832216[/C][/ROW]
[ROW][C]0.23[/C][C]12.5165316451374[/C][C]0.363745681556374[/C][/ROW]
[ROW][C]0.24[/C][C]12.6078378583394[/C][C]0.362422717356991[/C][/ROW]
[ROW][C]0.25[/C][C]12.6976037017060[/C][C]0.360800795478266[/C][/ROW]
[ROW][C]0.26[/C][C]12.7859561603995[/C][C]0.360096215447713[/C][/ROW]
[ROW][C]0.27[/C][C]12.873287095942[/C][C]0.361465160033932[/C][/ROW]
[ROW][C]0.28[/C][C]12.9602374920586[/C][C]0.366011737027777[/C][/ROW]
[ROW][C]0.29[/C][C]13.0476620462429[/C][C]0.374663524702767[/C][/ROW]
[ROW][C]0.3[/C][C]13.1365790153749[/C][C]0.388183119616416[/C][/ROW]
[ROW][C]0.31[/C][C]13.2281071495513[/C][C]0.406973603848988[/C][/ROW]
[ROW][C]0.32[/C][C]13.3233910633044[/C][C]0.431000489843361[/C][/ROW]
[ROW][C]0.33[/C][C]13.4235173058015[/C][C]0.459771699973117[/C][/ROW]
[ROW][C]0.34[/C][C]13.5294242973989[/C][C]0.492473988532776[/C][/ROW]
[ROW][C]0.35[/C][C]13.6418098308574[/C][C]0.52775120373724[/C][/ROW]
[ROW][C]0.36[/C][C]13.7610406844419[/C][C]0.563883580393647[/C][/ROW]
[ROW][C]0.37[/C][C]13.8870709288761[/C][C]0.59873435958035[/C][/ROW]
[ROW][C]0.38[/C][C]14.0193787850065[/C][C]0.629943960218397[/C][/ROW]
[ROW][C]0.39[/C][C]14.1569352413017[/C][C]0.654986154812665[/C][/ROW]
[ROW][C]0.4[/C][C]14.2982190747161[/C][C]0.671495444881924[/C][/ROW]
[ROW][C]0.41[/C][C]14.4412905147850[/C][C]0.677586671538914[/C][/ROW]
[ROW][C]0.42[/C][C]14.5839286555895[/C][C]0.672182515472531[/C][/ROW]
[ROW][C]0.43[/C][C]14.7238265583581[/C][C]0.655172279344253[/C][/ROW]
[ROW][C]0.44[/C][C]14.8588250788700[/C][C]0.62772121086626[/C][/ROW]
[ROW][C]0.45[/C][C]14.9871550556407[/C][C]0.59216187070546[/C][/ROW]
[ROW][C]0.46[/C][C]15.1076508812213[/C][C]0.551847247522664[/C][/ROW]
[ROW][C]0.47[/C][C]15.2198989404751[/C][C]0.510759050550493[/C][/ROW]
[ROW][C]0.48[/C][C]15.3242925337929[/C][C]0.473126839041982[/C][/ROW]
[ROW][C]0.49[/C][C]15.4219794215296[/C][C]0.442807076802066[/C][/ROW]
[ROW][C]0.5[/C][C]15.5147062171177[/C][C]0.422726083084305[/C][/ROW]
[ROW][C]0.51[/C][C]15.6045819406060[/C][C]0.414365451222841[/C][/ROW]
[ROW][C]0.52[/C][C]15.6937976362377[/C][C]0.41742811197834[/C][/ROW]
[ROW][C]0.53[/C][C]15.7843473654427[/C][C]0.429886796567279[/C][/ROW]
[ROW][C]0.54[/C][C]15.8777966068765[/C][C]0.448582980270785[/C][/ROW]
[ROW][C]0.55[/C][C]15.9751369197145[/C][C]0.469993540958902[/C][/ROW]
[ROW][C]0.56[/C][C]16.0767516762117[/C][C]0.490876009853631[/C][/ROW]
[ROW][C]0.57[/C][C]16.1824988583622[/C][C]0.508712872672791[/C][/ROW]
[ROW][C]0.58[/C][C]16.2918963551499[/C][C]0.522372777050861[/C][/ROW]
[ROW][C]0.59[/C][C]16.4043764843640[/C][C]0.532058036832806[/C][/ROW]
[ROW][C]0.6[/C][C]16.5195632409389[/C][C]0.539385956360112[/C][/ROW]
[ROW][C]0.61[/C][C]16.6375210144131[/C][C]0.547297698831803[/C][/ROW]
[ROW][C]0.62[/C][C]16.7589287405069[/C][C]0.559270063447156[/C][/ROW]
[ROW][C]0.63[/C][C]16.8851481195887[/C][C]0.578911356005748[/C][/ROW]
[ROW][C]0.64[/C][C]17.0181758647402[/C][C]0.609110906303944[/C][/ROW]
[ROW][C]0.65[/C][C]17.1604932685716[/C][C]0.65149716364123[/C][/ROW]
[ROW][C]0.66[/C][C]17.3148460823088[/C][C]0.706295566593711[/C][/ROW]
[ROW][C]0.67[/C][C]17.4839985808718[/C][C]0.77232000863251[/C][/ROW]
[ROW][C]0.68[/C][C]17.6705045048904[/C][C]0.84746125772097[/C][/ROW]
[ROW][C]0.69[/C][C]17.8765243659184[/C][C]0.929155518366427[/C][/ROW]
[ROW][C]0.7[/C][C]18.1036972595671[/C][C]1.01454416512495[/C][/ROW]
[ROW][C]0.71[/C][C]18.3530529176425[/C][C]1.10079487954384[/C][/ROW]
[ROW][C]0.72[/C][C]18.6249344672356[/C][C]1.18499733921018[/C][/ROW]
[ROW][C]0.73[/C][C]18.9189007554286[/C][C]1.26381825461642[/C][/ROW]
[ROW][C]0.74[/C][C]19.2335913244298[/C][C]1.33348415301158[/C][/ROW]
[ROW][C]0.75[/C][C]19.5665640066279[/C][C]1.38955208449728[/C][/ROW]
[ROW][C]0.76[/C][C]19.9141473384344[/C][C]1.42712143623319[/C][/ROW]
[ROW][C]0.77[/C][C]20.2713791478365[/C][C]1.44127358778003[/C][/ROW]
[ROW][C]0.78[/C][C]20.632122665902[/C][C]1.42801047491021[/C][/ROW]
[ROW][C]0.79[/C][C]20.9894609710887[/C][C]1.38517984705327[/C][/ROW]
[ROW][C]0.8[/C][C]21.3364736524869[/C][C]1.31382965641353[/C][/ROW]
[ROW][C]0.81[/C][C]21.6675057685784[/C][C]1.21958019648495[/C][/ROW]
[ROW][C]0.82[/C][C]21.9800621830359[/C][C]1.11425561943695[/C][/ROW]
[ROW][C]0.83[/C][C]22.2775122910972[/C][C]1.0183820914668[/C][/ROW]
[ROW][C]0.84[/C][C]22.5728598622737[/C][C]0.965672358810303[/C][/ROW]
[ROW][C]0.85[/C][C]22.8938319889115[/C][C]1.01003398935082[/C][/ROW]
[ROW][C]0.86[/C][C]23.2892218902139[/C][C]1.22643202754787[/C][/ROW]
[ROW][C]0.87[/C][C]23.8353479490320[/C][C]1.69661353991489[/C][/ROW]
[ROW][C]0.88[/C][C]24.6393033886896[/C][C]2.49126948813972[/C][/ROW]
[ROW][C]0.89[/C][C]25.8328903689579[/C][C]3.64445673413286[/C][/ROW]
[ROW][C]0.9[/C][C]27.5503250458417[/C][C]5.10199852728089[/C][/ROW]
[ROW][C]0.91[/C][C]29.8885964221287[/C][C]6.66934771644894[/C][/ROW]
[ROW][C]0.92[/C][C]32.8647678904162[/C][C]8.02032215307027[/C][/ROW]
[ROW][C]0.93[/C][C]36.4029266866656[/C][C]8.82387031228381[/C][/ROW]
[ROW][C]0.94[/C][C]40.3830267627555[/C][C]8.97111485171[/C][/ROW]
[ROW][C]0.95[/C][C]44.7377332076016[/C][C]8.7419628491817[/C][/ROW]
[ROW][C]0.96[/C][C]49.4942368320165[/C][C]8.60192277052533[/C][/ROW]
[ROW][C]0.97[/C][C]54.6034215220507[/C][C]8.46114104545404[/C][/ROW]
[ROW][C]0.98[/C][C]59.5486916416322[/C][C]7.17983941755943[/C][/ROW]
[ROW][C]0.99[/C][C]63.2008904723629[/C][C]3.71589492039395[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9481&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9481&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
0.017.698080641620371.42880570539613
0.028.765964664460171.24873480210594
0.039.619152852177040.88360461066995
0.0410.16473688520920.56659957057553
0.0510.49508954396820.404206303868201
0.0610.71131807868040.344037931468851
0.0710.87382223323970.317845047149102
0.0811.00990085573620.301408703161673
0.0911.13101176947200.293784827715176
0.111.24313416751740.295730320022551
0.1111.35019180422840.303564901469861
0.1211.45453242067230.312073228280526
0.1311.55709240482930.318157023551797
0.1411.65794560559190.321651128044835
0.1511.75697492935080.324320886029356
0.1611.85430069710790.328166376459559
0.1711.95034725655890.334130839453412
0.1812.04565932207730.341804651376694
0.1912.14065888353890.349823729872497
0.212.23548810492140.356761796596525
0.2112.32999101899260.361507447855712
0.2212.42380933014500.363732935832216
0.2312.51653164513740.363745681556374
0.2412.60783785833940.362422717356991
0.2512.69760370170600.360800795478266
0.2612.78595616039950.360096215447713
0.2712.8732870959420.361465160033932
0.2812.96023749205860.366011737027777
0.2913.04766204624290.374663524702767
0.313.13657901537490.388183119616416
0.3113.22810714955130.406973603848988
0.3213.32339106330440.431000489843361
0.3313.42351730580150.459771699973117
0.3413.52942429739890.492473988532776
0.3513.64180983085740.52775120373724
0.3613.76104068444190.563883580393647
0.3713.88707092887610.59873435958035
0.3814.01937878500650.629943960218397
0.3914.15693524130170.654986154812665
0.414.29821907471610.671495444881924
0.4114.44129051478500.677586671538914
0.4214.58392865558950.672182515472531
0.4314.72382655835810.655172279344253
0.4414.85882507887000.62772121086626
0.4514.98715505564070.59216187070546
0.4615.10765088122130.551847247522664
0.4715.21989894047510.510759050550493
0.4815.32429253379290.473126839041982
0.4915.42197942152960.442807076802066
0.515.51470621711770.422726083084305
0.5115.60458194060600.414365451222841
0.5215.69379763623770.41742811197834
0.5315.78434736544270.429886796567279
0.5415.87779660687650.448582980270785
0.5515.97513691971450.469993540958902
0.5616.07675167621170.490876009853631
0.5716.18249885836220.508712872672791
0.5816.29189635514990.522372777050861
0.5916.40437648436400.532058036832806
0.616.51956324093890.539385956360112
0.6116.63752101441310.547297698831803
0.6216.75892874050690.559270063447156
0.6316.88514811958870.578911356005748
0.6417.01817586474020.609110906303944
0.6517.16049326857160.65149716364123
0.6617.31484608230880.706295566593711
0.6717.48399858087180.77232000863251
0.6817.67050450489040.84746125772097
0.6917.87652436591840.929155518366427
0.718.10369725956711.01454416512495
0.7118.35305291764251.10079487954384
0.7218.62493446723561.18499733921018
0.7318.91890075542861.26381825461642
0.7419.23359132442981.33348415301158
0.7519.56656400662791.38955208449728
0.7619.91414733843441.42712143623319
0.7720.27137914783651.44127358778003
0.7820.6321226659021.42801047491021
0.7920.98946097108871.38517984705327
0.821.33647365248691.31382965641353
0.8121.66750576857841.21958019648495
0.8221.98006218303591.11425561943695
0.8322.27751229109721.0183820914668
0.8422.57285986227370.965672358810303
0.8522.89383198891151.01003398935082
0.8623.28922189021391.22643202754787
0.8723.83534794903201.69661353991489
0.8824.63930338868962.49126948813972
0.8925.83289036895793.64445673413286
0.927.55032504584175.10199852728089
0.9129.88859642212876.66934771644894
0.9232.86476789041628.02032215307027
0.9336.40292668666568.82387031228381
0.9440.38302676275558.97111485171
0.9544.73773320760168.7419628491817
0.9649.49423683201658.60192277052533
0.9754.60342152205078.46114104545404
0.9859.54869164163227.17983941755943
0.9963.20089047236293.71589492039395


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')