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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 computationTue, 01 Mar 2016 18:59:49 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Mar/01/t1456858903fkrvo06big67cum.htm/, Retrieved Tue, 07 May 2024 16:37:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293233, Retrieved Tue, 07 May 2024 16:37:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact75

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] [Percentielen-Infl...] [2016-03-01 18:59:49] [544b481aaa38f6ceeb4c090a83033a19] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.9
2
2
1.8
1.6
1.4
0.2
0.3
0.4
0.7
1
1.1
0.8
0.8
1
1.1
1
0.8
1.6
1.5
1.6
1.6
1.6
1.9
2
1.9
2
2.1
2.3
2.3
2.6
2.6
2.7
2.6
2.6
2.4
2.5
2.5
2.5
2.4
2.1
2.1
2.3
2.3
2.3
2.9
2.8
2.9
3
3
2.9
2.6
2.8
2.9
3.1
2.8
2.4
1.6
1.5
1.7
1.4
1.1
0.8
1.2
0.8
0.9
0.9
1
0.9
1.1
1
0.7
0
0.2
0.4
0.6
1.1
1
1
0.8
0.6
0.6
0.7
0.7

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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293233&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293233&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293233&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.06501529409934390.148430209921951
0.020.1500788363020590.106363300111649
0.030.225425914232710.103443272744291
0.040.2905992420416810.118641863445999
0.050.3516893019692020.131099851825218
0.060.4106905081492170.135801751033053
0.070.4664855503309150.133122406601524
0.080.5174329252618360.124768954636967
0.090.562532139526470.113161743103858
0.10.6016122244088270.100901694664278
0.110.6351585742172710.0899734908677466
0.120.6640346288658050.081313042716293
0.130.6892124927002280.0749483580699313
0.140.7115843205999050.0704393151573976
0.150.7318803052846410.06729362516276
0.160.7506734294618930.0652281180362089
0.170.7684275643633550.064244037741568
0.180.7855462259893170.0645169929282342
0.190.8023948468523490.0661599352821057
0.20.8192897653281470.0690075693807886
0.210.836464725365790.0725619306762236
0.220.8540353851881990.0761198275866975
0.230.871982148991080.0789768407072219
0.240.8901633104120630.0806171846839589
0.250.9083585829405070.0808363166931494
0.260.9263326714141330.0797830943316319
0.270.943903055007930.0779358798842662
0.280.9609964578965740.0760179555931582
0.290.9776832027966120.0748824720785828
0.30.9941852751739430.0753652669600513
0.311.010860014174160.0781457638427219
0.321.028165275466280.0836290484820479
0.331.04661321861280.0919146466918083
0.341.066719118893520.102819224309374
0.351.088949945569120.115917491878255
0.361.113676072099170.130570940847678
0.371.141129107794870.145955133245401
0.381.171369451242120.161103666888996
0.391.204268080144360.174980257050689
0.41.23950731125440.186596959161604
0.411.276603962996040.195139059694269
0.421.314955293009570.200091761314978
0.431.353903771465590.201331098811688
0.441.392812298826510.199162453939694
0.451.431138216059520.194291172939023
0.461.468493485023480.187732687766869
0.471.504680240431710.180657532321831
0.481.539695283667850.174202647182144
0.491.573703074760790.169279075733294
0.51.606983028467750.166398957730248
0.511.639862000819870.165591326629303
0.521.672645598010770.166440614265158
0.531.70556172331190.168223416478845
0.541.738726656034510.170120980209929
0.551.77213865763630.171403306253758
0.561.805697857163180.171583394833779
0.571.839245430185310.170481721132508
0.581.872611170794170.168229109618739
0.591.905657336948240.16520600335529
0.61.938308344825370.161919852835784
0.611.970560019732890.158871610264085
0.622.002467625521140.156408035443307
0.632.03411741387190.154636624997104
0.642.065590581592350.153399948119207
0.652.096930247462520.152333334963459
0.662.128120903891130.150984456939022
0.672.159086047953840.14894772479753
0.682.189704353603290.145983402512676
0.692.21983930642160.142076843260772
0.72.249373270353930.137442962871072
0.712.278235691472770.132455780341432
0.722.306416981288670.127540223817179
0.732.333964037753120.123045821135799
0.742.360959067533780.119142881079128
0.752.387488751099710.115784555822519
0.762.41361439328320.112733794163513
0.772.43935456888030.109671212125125
0.782.464689481803080.106323631983974
0.792.489590800048250.102586497645692
0.82.514072544120480.0986338349949889
0.812.538248979582010.0949544159415302
0.822.562377135479620.0922771966054169
0.832.586858801226730.0913684464956959
0.842.612184015191510.0926526803028146
0.852.638816529333960.0958482626490764
0.862.667046672639580.0998758301653866
0.872.696857256292790.10315427115812
0.882.727851862237010.104115921952881
0.892.759279416726780.101673120504842
0.92.79016617414340.0954801053442054
0.912.819551964266270.0859839325075986
0.922.846816201331130.0744312637252449
0.932.872031431196550.0629894637551795
0.942.89617709568990.0547525168155979
0.952.921004334915330.0522120997770708
0.962.948629319978440.0537031599551817
0.972.981383458279770.0548121823030276
0.983.021462619963040.0586006379511837
0.993.066445217768250.0764369198253617

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.0650152940993439 & 0.148430209921951 \tabularnewline
0.02 & 0.150078836302059 & 0.106363300111649 \tabularnewline
0.03 & 0.22542591423271 & 0.103443272744291 \tabularnewline
0.04 & 0.290599242041681 & 0.118641863445999 \tabularnewline
0.05 & 0.351689301969202 & 0.131099851825218 \tabularnewline
0.06 & 0.410690508149217 & 0.135801751033053 \tabularnewline
0.07 & 0.466485550330915 & 0.133122406601524 \tabularnewline
0.08 & 0.517432925261836 & 0.124768954636967 \tabularnewline
0.09 & 0.56253213952647 & 0.113161743103858 \tabularnewline
0.1 & 0.601612224408827 & 0.100901694664278 \tabularnewline
0.11 & 0.635158574217271 & 0.0899734908677466 \tabularnewline
0.12 & 0.664034628865805 & 0.081313042716293 \tabularnewline
0.13 & 0.689212492700228 & 0.0749483580699313 \tabularnewline
0.14 & 0.711584320599905 & 0.0704393151573976 \tabularnewline
0.15 & 0.731880305284641 & 0.06729362516276 \tabularnewline
0.16 & 0.750673429461893 & 0.0652281180362089 \tabularnewline
0.17 & 0.768427564363355 & 0.064244037741568 \tabularnewline
0.18 & 0.785546225989317 & 0.0645169929282342 \tabularnewline
0.19 & 0.802394846852349 & 0.0661599352821057 \tabularnewline
0.2 & 0.819289765328147 & 0.0690075693807886 \tabularnewline
0.21 & 0.83646472536579 & 0.0725619306762236 \tabularnewline
0.22 & 0.854035385188199 & 0.0761198275866975 \tabularnewline
0.23 & 0.87198214899108 & 0.0789768407072219 \tabularnewline
0.24 & 0.890163310412063 & 0.0806171846839589 \tabularnewline
0.25 & 0.908358582940507 & 0.0808363166931494 \tabularnewline
0.26 & 0.926332671414133 & 0.0797830943316319 \tabularnewline
0.27 & 0.94390305500793 & 0.0779358798842662 \tabularnewline
0.28 & 0.960996457896574 & 0.0760179555931582 \tabularnewline
0.29 & 0.977683202796612 & 0.0748824720785828 \tabularnewline
0.3 & 0.994185275173943 & 0.0753652669600513 \tabularnewline
0.31 & 1.01086001417416 & 0.0781457638427219 \tabularnewline
0.32 & 1.02816527546628 & 0.0836290484820479 \tabularnewline
0.33 & 1.0466132186128 & 0.0919146466918083 \tabularnewline
0.34 & 1.06671911889352 & 0.102819224309374 \tabularnewline
0.35 & 1.08894994556912 & 0.115917491878255 \tabularnewline
0.36 & 1.11367607209917 & 0.130570940847678 \tabularnewline
0.37 & 1.14112910779487 & 0.145955133245401 \tabularnewline
0.38 & 1.17136945124212 & 0.161103666888996 \tabularnewline
0.39 & 1.20426808014436 & 0.174980257050689 \tabularnewline
0.4 & 1.2395073112544 & 0.186596959161604 \tabularnewline
0.41 & 1.27660396299604 & 0.195139059694269 \tabularnewline
0.42 & 1.31495529300957 & 0.200091761314978 \tabularnewline
0.43 & 1.35390377146559 & 0.201331098811688 \tabularnewline
0.44 & 1.39281229882651 & 0.199162453939694 \tabularnewline
0.45 & 1.43113821605952 & 0.194291172939023 \tabularnewline
0.46 & 1.46849348502348 & 0.187732687766869 \tabularnewline
0.47 & 1.50468024043171 & 0.180657532321831 \tabularnewline
0.48 & 1.53969528366785 & 0.174202647182144 \tabularnewline
0.49 & 1.57370307476079 & 0.169279075733294 \tabularnewline
0.5 & 1.60698302846775 & 0.166398957730248 \tabularnewline
0.51 & 1.63986200081987 & 0.165591326629303 \tabularnewline
0.52 & 1.67264559801077 & 0.166440614265158 \tabularnewline
0.53 & 1.7055617233119 & 0.168223416478845 \tabularnewline
0.54 & 1.73872665603451 & 0.170120980209929 \tabularnewline
0.55 & 1.7721386576363 & 0.171403306253758 \tabularnewline
0.56 & 1.80569785716318 & 0.171583394833779 \tabularnewline
0.57 & 1.83924543018531 & 0.170481721132508 \tabularnewline
0.58 & 1.87261117079417 & 0.168229109618739 \tabularnewline
0.59 & 1.90565733694824 & 0.16520600335529 \tabularnewline
0.6 & 1.93830834482537 & 0.161919852835784 \tabularnewline
0.61 & 1.97056001973289 & 0.158871610264085 \tabularnewline
0.62 & 2.00246762552114 & 0.156408035443307 \tabularnewline
0.63 & 2.0341174138719 & 0.154636624997104 \tabularnewline
0.64 & 2.06559058159235 & 0.153399948119207 \tabularnewline
0.65 & 2.09693024746252 & 0.152333334963459 \tabularnewline
0.66 & 2.12812090389113 & 0.150984456939022 \tabularnewline
0.67 & 2.15908604795384 & 0.14894772479753 \tabularnewline
0.68 & 2.18970435360329 & 0.145983402512676 \tabularnewline
0.69 & 2.2198393064216 & 0.142076843260772 \tabularnewline
0.7 & 2.24937327035393 & 0.137442962871072 \tabularnewline
0.71 & 2.27823569147277 & 0.132455780341432 \tabularnewline
0.72 & 2.30641698128867 & 0.127540223817179 \tabularnewline
0.73 & 2.33396403775312 & 0.123045821135799 \tabularnewline
0.74 & 2.36095906753378 & 0.119142881079128 \tabularnewline
0.75 & 2.38748875109971 & 0.115784555822519 \tabularnewline
0.76 & 2.4136143932832 & 0.112733794163513 \tabularnewline
0.77 & 2.4393545688803 & 0.109671212125125 \tabularnewline
0.78 & 2.46468948180308 & 0.106323631983974 \tabularnewline
0.79 & 2.48959080004825 & 0.102586497645692 \tabularnewline
0.8 & 2.51407254412048 & 0.0986338349949889 \tabularnewline
0.81 & 2.53824897958201 & 0.0949544159415302 \tabularnewline
0.82 & 2.56237713547962 & 0.0922771966054169 \tabularnewline
0.83 & 2.58685880122673 & 0.0913684464956959 \tabularnewline
0.84 & 2.61218401519151 & 0.0926526803028146 \tabularnewline
0.85 & 2.63881652933396 & 0.0958482626490764 \tabularnewline
0.86 & 2.66704667263958 & 0.0998758301653866 \tabularnewline
0.87 & 2.69685725629279 & 0.10315427115812 \tabularnewline
0.88 & 2.72785186223701 & 0.104115921952881 \tabularnewline
0.89 & 2.75927941672678 & 0.101673120504842 \tabularnewline
0.9 & 2.7901661741434 & 0.0954801053442054 \tabularnewline
0.91 & 2.81955196426627 & 0.0859839325075986 \tabularnewline
0.92 & 2.84681620133113 & 0.0744312637252449 \tabularnewline
0.93 & 2.87203143119655 & 0.0629894637551795 \tabularnewline
0.94 & 2.8961770956899 & 0.0547525168155979 \tabularnewline
0.95 & 2.92100433491533 & 0.0522120997770708 \tabularnewline
0.96 & 2.94862931997844 & 0.0537031599551817 \tabularnewline
0.97 & 2.98138345827977 & 0.0548121823030276 \tabularnewline
0.98 & 3.02146261996304 & 0.0586006379511837 \tabularnewline
0.99 & 3.06644521776825 & 0.0764369198253617 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293233&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]0.0650152940993439[/C][C]0.148430209921951[/C][/ROW]
[ROW][C]0.02[/C][C]0.150078836302059[/C][C]0.106363300111649[/C][/ROW]
[ROW][C]0.03[/C][C]0.22542591423271[/C][C]0.103443272744291[/C][/ROW]
[ROW][C]0.04[/C][C]0.290599242041681[/C][C]0.118641863445999[/C][/ROW]
[ROW][C]0.05[/C][C]0.351689301969202[/C][C]0.131099851825218[/C][/ROW]
[ROW][C]0.06[/C][C]0.410690508149217[/C][C]0.135801751033053[/C][/ROW]
[ROW][C]0.07[/C][C]0.466485550330915[/C][C]0.133122406601524[/C][/ROW]
[ROW][C]0.08[/C][C]0.517432925261836[/C][C]0.124768954636967[/C][/ROW]
[ROW][C]0.09[/C][C]0.56253213952647[/C][C]0.113161743103858[/C][/ROW]
[ROW][C]0.1[/C][C]0.601612224408827[/C][C]0.100901694664278[/C][/ROW]
[ROW][C]0.11[/C][C]0.635158574217271[/C][C]0.0899734908677466[/C][/ROW]
[ROW][C]0.12[/C][C]0.664034628865805[/C][C]0.081313042716293[/C][/ROW]
[ROW][C]0.13[/C][C]0.689212492700228[/C][C]0.0749483580699313[/C][/ROW]
[ROW][C]0.14[/C][C]0.711584320599905[/C][C]0.0704393151573976[/C][/ROW]
[ROW][C]0.15[/C][C]0.731880305284641[/C][C]0.06729362516276[/C][/ROW]
[ROW][C]0.16[/C][C]0.750673429461893[/C][C]0.0652281180362089[/C][/ROW]
[ROW][C]0.17[/C][C]0.768427564363355[/C][C]0.064244037741568[/C][/ROW]
[ROW][C]0.18[/C][C]0.785546225989317[/C][C]0.0645169929282342[/C][/ROW]
[ROW][C]0.19[/C][C]0.802394846852349[/C][C]0.0661599352821057[/C][/ROW]
[ROW][C]0.2[/C][C]0.819289765328147[/C][C]0.0690075693807886[/C][/ROW]
[ROW][C]0.21[/C][C]0.83646472536579[/C][C]0.0725619306762236[/C][/ROW]
[ROW][C]0.22[/C][C]0.854035385188199[/C][C]0.0761198275866975[/C][/ROW]
[ROW][C]0.23[/C][C]0.87198214899108[/C][C]0.0789768407072219[/C][/ROW]
[ROW][C]0.24[/C][C]0.890163310412063[/C][C]0.0806171846839589[/C][/ROW]
[ROW][C]0.25[/C][C]0.908358582940507[/C][C]0.0808363166931494[/C][/ROW]
[ROW][C]0.26[/C][C]0.926332671414133[/C][C]0.0797830943316319[/C][/ROW]
[ROW][C]0.27[/C][C]0.94390305500793[/C][C]0.0779358798842662[/C][/ROW]
[ROW][C]0.28[/C][C]0.960996457896574[/C][C]0.0760179555931582[/C][/ROW]
[ROW][C]0.29[/C][C]0.977683202796612[/C][C]0.0748824720785828[/C][/ROW]
[ROW][C]0.3[/C][C]0.994185275173943[/C][C]0.0753652669600513[/C][/ROW]
[ROW][C]0.31[/C][C]1.01086001417416[/C][C]0.0781457638427219[/C][/ROW]
[ROW][C]0.32[/C][C]1.02816527546628[/C][C]0.0836290484820479[/C][/ROW]
[ROW][C]0.33[/C][C]1.0466132186128[/C][C]0.0919146466918083[/C][/ROW]
[ROW][C]0.34[/C][C]1.06671911889352[/C][C]0.102819224309374[/C][/ROW]
[ROW][C]0.35[/C][C]1.08894994556912[/C][C]0.115917491878255[/C][/ROW]
[ROW][C]0.36[/C][C]1.11367607209917[/C][C]0.130570940847678[/C][/ROW]
[ROW][C]0.37[/C][C]1.14112910779487[/C][C]0.145955133245401[/C][/ROW]
[ROW][C]0.38[/C][C]1.17136945124212[/C][C]0.161103666888996[/C][/ROW]
[ROW][C]0.39[/C][C]1.20426808014436[/C][C]0.174980257050689[/C][/ROW]
[ROW][C]0.4[/C][C]1.2395073112544[/C][C]0.186596959161604[/C][/ROW]
[ROW][C]0.41[/C][C]1.27660396299604[/C][C]0.195139059694269[/C][/ROW]
[ROW][C]0.42[/C][C]1.31495529300957[/C][C]0.200091761314978[/C][/ROW]
[ROW][C]0.43[/C][C]1.35390377146559[/C][C]0.201331098811688[/C][/ROW]
[ROW][C]0.44[/C][C]1.39281229882651[/C][C]0.199162453939694[/C][/ROW]
[ROW][C]0.45[/C][C]1.43113821605952[/C][C]0.194291172939023[/C][/ROW]
[ROW][C]0.46[/C][C]1.46849348502348[/C][C]0.187732687766869[/C][/ROW]
[ROW][C]0.47[/C][C]1.50468024043171[/C][C]0.180657532321831[/C][/ROW]
[ROW][C]0.48[/C][C]1.53969528366785[/C][C]0.174202647182144[/C][/ROW]
[ROW][C]0.49[/C][C]1.57370307476079[/C][C]0.169279075733294[/C][/ROW]
[ROW][C]0.5[/C][C]1.60698302846775[/C][C]0.166398957730248[/C][/ROW]
[ROW][C]0.51[/C][C]1.63986200081987[/C][C]0.165591326629303[/C][/ROW]
[ROW][C]0.52[/C][C]1.67264559801077[/C][C]0.166440614265158[/C][/ROW]
[ROW][C]0.53[/C][C]1.7055617233119[/C][C]0.168223416478845[/C][/ROW]
[ROW][C]0.54[/C][C]1.73872665603451[/C][C]0.170120980209929[/C][/ROW]
[ROW][C]0.55[/C][C]1.7721386576363[/C][C]0.171403306253758[/C][/ROW]
[ROW][C]0.56[/C][C]1.80569785716318[/C][C]0.171583394833779[/C][/ROW]
[ROW][C]0.57[/C][C]1.83924543018531[/C][C]0.170481721132508[/C][/ROW]
[ROW][C]0.58[/C][C]1.87261117079417[/C][C]0.168229109618739[/C][/ROW]
[ROW][C]0.59[/C][C]1.90565733694824[/C][C]0.16520600335529[/C][/ROW]
[ROW][C]0.6[/C][C]1.93830834482537[/C][C]0.161919852835784[/C][/ROW]
[ROW][C]0.61[/C][C]1.97056001973289[/C][C]0.158871610264085[/C][/ROW]
[ROW][C]0.62[/C][C]2.00246762552114[/C][C]0.156408035443307[/C][/ROW]
[ROW][C]0.63[/C][C]2.0341174138719[/C][C]0.154636624997104[/C][/ROW]
[ROW][C]0.64[/C][C]2.06559058159235[/C][C]0.153399948119207[/C][/ROW]
[ROW][C]0.65[/C][C]2.09693024746252[/C][C]0.152333334963459[/C][/ROW]
[ROW][C]0.66[/C][C]2.12812090389113[/C][C]0.150984456939022[/C][/ROW]
[ROW][C]0.67[/C][C]2.15908604795384[/C][C]0.14894772479753[/C][/ROW]
[ROW][C]0.68[/C][C]2.18970435360329[/C][C]0.145983402512676[/C][/ROW]
[ROW][C]0.69[/C][C]2.2198393064216[/C][C]0.142076843260772[/C][/ROW]
[ROW][C]0.7[/C][C]2.24937327035393[/C][C]0.137442962871072[/C][/ROW]
[ROW][C]0.71[/C][C]2.27823569147277[/C][C]0.132455780341432[/C][/ROW]
[ROW][C]0.72[/C][C]2.30641698128867[/C][C]0.127540223817179[/C][/ROW]
[ROW][C]0.73[/C][C]2.33396403775312[/C][C]0.123045821135799[/C][/ROW]
[ROW][C]0.74[/C][C]2.36095906753378[/C][C]0.119142881079128[/C][/ROW]
[ROW][C]0.75[/C][C]2.38748875109971[/C][C]0.115784555822519[/C][/ROW]
[ROW][C]0.76[/C][C]2.4136143932832[/C][C]0.112733794163513[/C][/ROW]
[ROW][C]0.77[/C][C]2.4393545688803[/C][C]0.109671212125125[/C][/ROW]
[ROW][C]0.78[/C][C]2.46468948180308[/C][C]0.106323631983974[/C][/ROW]
[ROW][C]0.79[/C][C]2.48959080004825[/C][C]0.102586497645692[/C][/ROW]
[ROW][C]0.8[/C][C]2.51407254412048[/C][C]0.0986338349949889[/C][/ROW]
[ROW][C]0.81[/C][C]2.53824897958201[/C][C]0.0949544159415302[/C][/ROW]
[ROW][C]0.82[/C][C]2.56237713547962[/C][C]0.0922771966054169[/C][/ROW]
[ROW][C]0.83[/C][C]2.58685880122673[/C][C]0.0913684464956959[/C][/ROW]
[ROW][C]0.84[/C][C]2.61218401519151[/C][C]0.0926526803028146[/C][/ROW]
[ROW][C]0.85[/C][C]2.63881652933396[/C][C]0.0958482626490764[/C][/ROW]
[ROW][C]0.86[/C][C]2.66704667263958[/C][C]0.0998758301653866[/C][/ROW]
[ROW][C]0.87[/C][C]2.69685725629279[/C][C]0.10315427115812[/C][/ROW]
[ROW][C]0.88[/C][C]2.72785186223701[/C][C]0.104115921952881[/C][/ROW]
[ROW][C]0.89[/C][C]2.75927941672678[/C][C]0.101673120504842[/C][/ROW]
[ROW][C]0.9[/C][C]2.7901661741434[/C][C]0.0954801053442054[/C][/ROW]
[ROW][C]0.91[/C][C]2.81955196426627[/C][C]0.0859839325075986[/C][/ROW]
[ROW][C]0.92[/C][C]2.84681620133113[/C][C]0.0744312637252449[/C][/ROW]
[ROW][C]0.93[/C][C]2.87203143119655[/C][C]0.0629894637551795[/C][/ROW]
[ROW][C]0.94[/C][C]2.8961770956899[/C][C]0.0547525168155979[/C][/ROW]
[ROW][C]0.95[/C][C]2.92100433491533[/C][C]0.0522120997770708[/C][/ROW]
[ROW][C]0.96[/C][C]2.94862931997844[/C][C]0.0537031599551817[/C][/ROW]
[ROW][C]0.97[/C][C]2.98138345827977[/C][C]0.0548121823030276[/C][/ROW]
[ROW][C]0.98[/C][C]3.02146261996304[/C][C]0.0586006379511837[/C][/ROW]
[ROW][C]0.99[/C][C]3.06644521776825[/C][C]0.0764369198253617[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293233&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293233&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
0.010.06501529409934390.148430209921951
0.020.1500788363020590.106363300111649
0.030.225425914232710.103443272744291
0.040.2905992420416810.118641863445999
0.050.3516893019692020.131099851825218
0.060.4106905081492170.135801751033053
0.070.4664855503309150.133122406601524
0.080.5174329252618360.124768954636967
0.090.562532139526470.113161743103858
0.10.6016122244088270.100901694664278
0.110.6351585742172710.0899734908677466
0.120.6640346288658050.081313042716293
0.130.6892124927002280.0749483580699313
0.140.7115843205999050.0704393151573976
0.150.7318803052846410.06729362516276
0.160.7506734294618930.0652281180362089
0.170.7684275643633550.064244037741568
0.180.7855462259893170.0645169929282342
0.190.8023948468523490.0661599352821057
0.20.8192897653281470.0690075693807886
0.210.836464725365790.0725619306762236
0.220.8540353851881990.0761198275866975
0.230.871982148991080.0789768407072219
0.240.8901633104120630.0806171846839589
0.250.9083585829405070.0808363166931494
0.260.9263326714141330.0797830943316319
0.270.943903055007930.0779358798842662
0.280.9609964578965740.0760179555931582
0.290.9776832027966120.0748824720785828
0.30.9941852751739430.0753652669600513
0.311.010860014174160.0781457638427219
0.321.028165275466280.0836290484820479
0.331.04661321861280.0919146466918083
0.341.066719118893520.102819224309374
0.351.088949945569120.115917491878255
0.361.113676072099170.130570940847678
0.371.141129107794870.145955133245401
0.381.171369451242120.161103666888996
0.391.204268080144360.174980257050689
0.41.23950731125440.186596959161604
0.411.276603962996040.195139059694269
0.421.314955293009570.200091761314978
0.431.353903771465590.201331098811688
0.441.392812298826510.199162453939694
0.451.431138216059520.194291172939023
0.461.468493485023480.187732687766869
0.471.504680240431710.180657532321831
0.481.539695283667850.174202647182144
0.491.573703074760790.169279075733294
0.51.606983028467750.166398957730248
0.511.639862000819870.165591326629303
0.521.672645598010770.166440614265158
0.531.70556172331190.168223416478845
0.541.738726656034510.170120980209929
0.551.77213865763630.171403306253758
0.561.805697857163180.171583394833779
0.571.839245430185310.170481721132508
0.581.872611170794170.168229109618739
0.591.905657336948240.16520600335529
0.61.938308344825370.161919852835784
0.611.970560019732890.158871610264085
0.622.002467625521140.156408035443307
0.632.03411741387190.154636624997104
0.642.065590581592350.153399948119207
0.652.096930247462520.152333334963459
0.662.128120903891130.150984456939022
0.672.159086047953840.14894772479753
0.682.189704353603290.145983402512676
0.692.21983930642160.142076843260772
0.72.249373270353930.137442962871072
0.712.278235691472770.132455780341432
0.722.306416981288670.127540223817179
0.732.333964037753120.123045821135799
0.742.360959067533780.119142881079128
0.752.387488751099710.115784555822519
0.762.41361439328320.112733794163513
0.772.43935456888030.109671212125125
0.782.464689481803080.106323631983974
0.792.489590800048250.102586497645692
0.82.514072544120480.0986338349949889
0.812.538248979582010.0949544159415302
0.822.562377135479620.0922771966054169
0.832.586858801226730.0913684464956959
0.842.612184015191510.0926526803028146
0.852.638816529333960.0958482626490764
0.862.667046672639580.0998758301653866
0.872.696857256292790.10315427115812
0.882.727851862237010.104115921952881
0.892.759279416726780.101673120504842
0.92.79016617414340.0954801053442054
0.912.819551964266270.0859839325075986
0.922.846816201331130.0744312637252449
0.932.872031431196550.0629894637551795
0.942.89617709568990.0547525168155979
0.952.921004334915330.0522120997770708
0.962.948629319978440.0537031599551817
0.972.981383458279770.0548121823030276
0.983.021462619963040.0586006379511837
0.993.066445217768250.0764369198253617


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.99'
par1 <- '0.01'
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')