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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 computationFri, 23 Oct 2009 06:36:30 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/23/t1256302736qe9up8x9krppb8g.htm/, Retrieved Thu, 02 May 2024 04:03:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49961, Retrieved Thu, 02 May 2024 04:03:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact102
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Workshop3 Part1 D...] [2009-10-19 09:05:14] [143cbdcaf7333bdd9926a1dde50d1082]
-    D  [Univariate Explorative Data Analysis] [Workshop3 Part2 D...] [2009-10-19 19:48:55] [143cbdcaf7333bdd9926a1dde50d1082]
-    D    [Univariate Explorative Data Analysis] [Workshop3 Part2 D...] [2009-10-19 19:51:19] [143cbdcaf7333bdd9926a1dde50d1082]
-    D      [Univariate Explorative Data Analysis] [Workshop3 Part2 D...] [2009-10-19 19:53:33] [143cbdcaf7333bdd9926a1dde50d1082]
- RMPD          [Harrell-Davis Quantiles] [WS 3 voorspelling...] [2009-10-23 12:36:30] [51118f1042b56b16d340924f16263174] [Current]
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Dataseries X:
1.197596123
1.210967896
1.223612537
1.227660565
1.237948032
1.225300246
1.087586344
1.015785207
1.12216222
1.114460443
1.145516429
1.121133814
1.121975999
1.149383123
1.159351011
1.168293651
1.185095467
1.173272515
1.058647824
1.032511426
1.131322801
1.130892441
1.176488037
1.157123444
1.260706777
1.241362801
1.262950943
1.226450498
1.248538898
1.257489702
1.173436146
1.194389036
1.255195594
1.3469767
1.383767343
1.382464182
1.401113161
1.45561324
1.462314577
1.51932703
1.511075779
1.420165067
1.277498764
1.317859755
1.442498192
1.487606355
1.494965274
1.449435775
1.493073111
1.533944038
1.479143249
1.501823171
1.515175396
1.451617188
1.34026162
1.357873298
1.440819136
1.434418583
1.447475529
1.370417385
1.322586529
1.307024405
1.292519954
1.318036484
1.297416736
1.244013333
1.177822415
1.181781321
1.232676088




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49961&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49961&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49961&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0051.018410037329940.0175458627759752
0.0151.027995699640400.0222537819766445
0.0251.041455350729840.0279476793669033
0.0351.056423513872540.0313699974427392
0.0451.071155404752390.0315448934530053
0.0551.084533086135740.0290439518522917
0.0651.095963403114570.0250323834366021
0.0751.105303047429970.0207229885072191
0.0851.112752382842910.0170720099509723
0.0951.118712627834380.0146370999030274
0.1051.123644497273000.0135247773925624
0.1151.127962706904050.0134537918763281
0.1251.131979135144280.0139732245819760
0.1351.135889046060800.0146898969203328
0.1451.139785877034460.0153336572846722
0.1551.143689366654260.0157621825337260
0.1651.147575571306790.0159261137429471
0.1751.151402248814650.0158352012193408
0.1851.155127174889060.0155465999967859
0.1951.158719512609990.0151389355043857
0.2051.162165508585440.0147025958549583
0.2151.165470005296510.0143251492383347
0.2251.168655017990450.0140905821874397
0.2351.171756281979020.0140687847740668
0.2451.174818428969780.0142986985883858
0.2551.177889356906270.0147836406415206
0.2651.181014379525030.0154918017252739
0.2751.184230797558620.0163610310339514
0.2851.187563541165190.0173004608689154
0.2951.191022440683300.0182201277108177
0.3051.194601480528450.0190306497960294
0.3151.19828010841940.0196557309316686
0.3251.202026364265530.0200482530408891
0.3351.205801323211560.0201833283199037
0.3451.209564170159060.0200689752800309
0.3551.213277171816110.0197398789454504
0.3651.216909891901100.0192550450384701
0.3751.220442181985250.01868499575589
0.3851.223865728978320.018100420642453
0.3951.227184194312430.0175733439016784
0.4051.230412186676350.017165400873377
0.4151.233573432808280.0169220313471023
0.4251.236698536288050.0168717416343428
0.4351.239822654466560.0170350030005095
0.4451.242983310279860.0174123819154056
0.4551.246218429836330.0180024950136227
0.4651.249564597023730.0187918548928333
0.4751.253055468923300.0197560964443685
0.4851.256720307670270.0208725747579227
0.4951.260582643224430.0220931831775625
0.5051.264659160173130.0233781779829515
0.5151.268958966770600.0246782295593575
0.5251.273483426327690.0259385671518125
0.5351.278226693011250.0271166226069187
0.5451.283176997573290.0281810718395024
0.5551.288318593614000.0291111266568862
0.5651.293634135314360.0299066266701367
0.5751.299107150904100.0305838911233854
0.5851.304724233179830.0311725326806706
0.5951.310476603217720.0317083616822278
0.6051.316360808471030.0322279943851978
0.6151.322378464173890.0327616323411991
0.6251.328535098175610.033330509766303
0.6351.334838275807610.0339371025527121
0.6451.341295239077020.0345729457685163
0.6551.347910292373410.0352115847939174
0.6651.354682127927660.0358176336603454
0.6751.361601246966390.0363450581868395
0.6851.368647634981800.0367360590632777
0.6951.375788911328010.0369296867188342
0.7051.382979281923550.0368586366803733
0.7151.390159732264570.0364545005206723
0.7251.397259936953870.0356631860914468
0.7351.404202263995770.0344517632521696
0.7451.410907979846560.0328190604408610
0.7551.417305329349590.0308086898664823
0.7651.423338645810690.0285110329675255
0.7751.42897715738470.0260619048117985
0.7851.434221829493530.0236319857918541
0.7951.439108536727730.021408571495947
0.8051.443706170566270.0195711520259746
0.8151.448108989834320.0182589397699623
0.8251.452423578712320.0175269954350229
0.8351.456752083320510.0173235619233626
0.8451.461174727993220.0174834303090612
0.8551.465735591891620.0177736880922731
0.8651.470435750500990.0179516941263211
0.8751.475236658376150.017823245297919
0.8851.480073874430880.0172939051565618
0.8951.484877402723390.0163859690158299
0.9051.489591508400720.0152258060936228
0.9151.494186199096990.0139863517647920
0.9251.498657016701440.0127992326059101
0.9351.503020060262770.0116834343900109
0.9451.507321147607150.0105683384780497
0.9551.511677374170090.00945088787695475
0.9651.516326703057910.00864040930220365
0.9751.521552875814080.00889855321775066
0.9851.527266492763280.0107835393792425

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.005 & 1.01841003732994 & 0.0175458627759752 \tabularnewline
0.015 & 1.02799569964040 & 0.0222537819766445 \tabularnewline
0.025 & 1.04145535072984 & 0.0279476793669033 \tabularnewline
0.035 & 1.05642351387254 & 0.0313699974427392 \tabularnewline
0.045 & 1.07115540475239 & 0.0315448934530053 \tabularnewline
0.055 & 1.08453308613574 & 0.0290439518522917 \tabularnewline
0.065 & 1.09596340311457 & 0.0250323834366021 \tabularnewline
0.075 & 1.10530304742997 & 0.0207229885072191 \tabularnewline
0.085 & 1.11275238284291 & 0.0170720099509723 \tabularnewline
0.095 & 1.11871262783438 & 0.0146370999030274 \tabularnewline
0.105 & 1.12364449727300 & 0.0135247773925624 \tabularnewline
0.115 & 1.12796270690405 & 0.0134537918763281 \tabularnewline
0.125 & 1.13197913514428 & 0.0139732245819760 \tabularnewline
0.135 & 1.13588904606080 & 0.0146898969203328 \tabularnewline
0.145 & 1.13978587703446 & 0.0153336572846722 \tabularnewline
0.155 & 1.14368936665426 & 0.0157621825337260 \tabularnewline
0.165 & 1.14757557130679 & 0.0159261137429471 \tabularnewline
0.175 & 1.15140224881465 & 0.0158352012193408 \tabularnewline
0.185 & 1.15512717488906 & 0.0155465999967859 \tabularnewline
0.195 & 1.15871951260999 & 0.0151389355043857 \tabularnewline
0.205 & 1.16216550858544 & 0.0147025958549583 \tabularnewline
0.215 & 1.16547000529651 & 0.0143251492383347 \tabularnewline
0.225 & 1.16865501799045 & 0.0140905821874397 \tabularnewline
0.235 & 1.17175628197902 & 0.0140687847740668 \tabularnewline
0.245 & 1.17481842896978 & 0.0142986985883858 \tabularnewline
0.255 & 1.17788935690627 & 0.0147836406415206 \tabularnewline
0.265 & 1.18101437952503 & 0.0154918017252739 \tabularnewline
0.275 & 1.18423079755862 & 0.0163610310339514 \tabularnewline
0.285 & 1.18756354116519 & 0.0173004608689154 \tabularnewline
0.295 & 1.19102244068330 & 0.0182201277108177 \tabularnewline
0.305 & 1.19460148052845 & 0.0190306497960294 \tabularnewline
0.315 & 1.1982801084194 & 0.0196557309316686 \tabularnewline
0.325 & 1.20202636426553 & 0.0200482530408891 \tabularnewline
0.335 & 1.20580132321156 & 0.0201833283199037 \tabularnewline
0.345 & 1.20956417015906 & 0.0200689752800309 \tabularnewline
0.355 & 1.21327717181611 & 0.0197398789454504 \tabularnewline
0.365 & 1.21690989190110 & 0.0192550450384701 \tabularnewline
0.375 & 1.22044218198525 & 0.01868499575589 \tabularnewline
0.385 & 1.22386572897832 & 0.018100420642453 \tabularnewline
0.395 & 1.22718419431243 & 0.0175733439016784 \tabularnewline
0.405 & 1.23041218667635 & 0.017165400873377 \tabularnewline
0.415 & 1.23357343280828 & 0.0169220313471023 \tabularnewline
0.425 & 1.23669853628805 & 0.0168717416343428 \tabularnewline
0.435 & 1.23982265446656 & 0.0170350030005095 \tabularnewline
0.445 & 1.24298331027986 & 0.0174123819154056 \tabularnewline
0.455 & 1.24621842983633 & 0.0180024950136227 \tabularnewline
0.465 & 1.24956459702373 & 0.0187918548928333 \tabularnewline
0.475 & 1.25305546892330 & 0.0197560964443685 \tabularnewline
0.485 & 1.25672030767027 & 0.0208725747579227 \tabularnewline
0.495 & 1.26058264322443 & 0.0220931831775625 \tabularnewline
0.505 & 1.26465916017313 & 0.0233781779829515 \tabularnewline
0.515 & 1.26895896677060 & 0.0246782295593575 \tabularnewline
0.525 & 1.27348342632769 & 0.0259385671518125 \tabularnewline
0.535 & 1.27822669301125 & 0.0271166226069187 \tabularnewline
0.545 & 1.28317699757329 & 0.0281810718395024 \tabularnewline
0.555 & 1.28831859361400 & 0.0291111266568862 \tabularnewline
0.565 & 1.29363413531436 & 0.0299066266701367 \tabularnewline
0.575 & 1.29910715090410 & 0.0305838911233854 \tabularnewline
0.585 & 1.30472423317983 & 0.0311725326806706 \tabularnewline
0.595 & 1.31047660321772 & 0.0317083616822278 \tabularnewline
0.605 & 1.31636080847103 & 0.0322279943851978 \tabularnewline
0.615 & 1.32237846417389 & 0.0327616323411991 \tabularnewline
0.625 & 1.32853509817561 & 0.033330509766303 \tabularnewline
0.635 & 1.33483827580761 & 0.0339371025527121 \tabularnewline
0.645 & 1.34129523907702 & 0.0345729457685163 \tabularnewline
0.655 & 1.34791029237341 & 0.0352115847939174 \tabularnewline
0.665 & 1.35468212792766 & 0.0358176336603454 \tabularnewline
0.675 & 1.36160124696639 & 0.0363450581868395 \tabularnewline
0.685 & 1.36864763498180 & 0.0367360590632777 \tabularnewline
0.695 & 1.37578891132801 & 0.0369296867188342 \tabularnewline
0.705 & 1.38297928192355 & 0.0368586366803733 \tabularnewline
0.715 & 1.39015973226457 & 0.0364545005206723 \tabularnewline
0.725 & 1.39725993695387 & 0.0356631860914468 \tabularnewline
0.735 & 1.40420226399577 & 0.0344517632521696 \tabularnewline
0.745 & 1.41090797984656 & 0.0328190604408610 \tabularnewline
0.755 & 1.41730532934959 & 0.0308086898664823 \tabularnewline
0.765 & 1.42333864581069 & 0.0285110329675255 \tabularnewline
0.775 & 1.4289771573847 & 0.0260619048117985 \tabularnewline
0.785 & 1.43422182949353 & 0.0236319857918541 \tabularnewline
0.795 & 1.43910853672773 & 0.021408571495947 \tabularnewline
0.805 & 1.44370617056627 & 0.0195711520259746 \tabularnewline
0.815 & 1.44810898983432 & 0.0182589397699623 \tabularnewline
0.825 & 1.45242357871232 & 0.0175269954350229 \tabularnewline
0.835 & 1.45675208332051 & 0.0173235619233626 \tabularnewline
0.845 & 1.46117472799322 & 0.0174834303090612 \tabularnewline
0.855 & 1.46573559189162 & 0.0177736880922731 \tabularnewline
0.865 & 1.47043575050099 & 0.0179516941263211 \tabularnewline
0.875 & 1.47523665837615 & 0.017823245297919 \tabularnewline
0.885 & 1.48007387443088 & 0.0172939051565618 \tabularnewline
0.895 & 1.48487740272339 & 0.0163859690158299 \tabularnewline
0.905 & 1.48959150840072 & 0.0152258060936228 \tabularnewline
0.915 & 1.49418619909699 & 0.0139863517647920 \tabularnewline
0.925 & 1.49865701670144 & 0.0127992326059101 \tabularnewline
0.935 & 1.50302006026277 & 0.0116834343900109 \tabularnewline
0.945 & 1.50732114760715 & 0.0105683384780497 \tabularnewline
0.955 & 1.51167737417009 & 0.00945088787695475 \tabularnewline
0.965 & 1.51632670305791 & 0.00864040930220365 \tabularnewline
0.975 & 1.52155287581408 & 0.00889855321775066 \tabularnewline
0.985 & 1.52726649276328 & 0.0107835393792425 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49961&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.005[/C][C]1.01841003732994[/C][C]0.0175458627759752[/C][/ROW]
[ROW][C]0.015[/C][C]1.02799569964040[/C][C]0.0222537819766445[/C][/ROW]
[ROW][C]0.025[/C][C]1.04145535072984[/C][C]0.0279476793669033[/C][/ROW]
[ROW][C]0.035[/C][C]1.05642351387254[/C][C]0.0313699974427392[/C][/ROW]
[ROW][C]0.045[/C][C]1.07115540475239[/C][C]0.0315448934530053[/C][/ROW]
[ROW][C]0.055[/C][C]1.08453308613574[/C][C]0.0290439518522917[/C][/ROW]
[ROW][C]0.065[/C][C]1.09596340311457[/C][C]0.0250323834366021[/C][/ROW]
[ROW][C]0.075[/C][C]1.10530304742997[/C][C]0.0207229885072191[/C][/ROW]
[ROW][C]0.085[/C][C]1.11275238284291[/C][C]0.0170720099509723[/C][/ROW]
[ROW][C]0.095[/C][C]1.11871262783438[/C][C]0.0146370999030274[/C][/ROW]
[ROW][C]0.105[/C][C]1.12364449727300[/C][C]0.0135247773925624[/C][/ROW]
[ROW][C]0.115[/C][C]1.12796270690405[/C][C]0.0134537918763281[/C][/ROW]
[ROW][C]0.125[/C][C]1.13197913514428[/C][C]0.0139732245819760[/C][/ROW]
[ROW][C]0.135[/C][C]1.13588904606080[/C][C]0.0146898969203328[/C][/ROW]
[ROW][C]0.145[/C][C]1.13978587703446[/C][C]0.0153336572846722[/C][/ROW]
[ROW][C]0.155[/C][C]1.14368936665426[/C][C]0.0157621825337260[/C][/ROW]
[ROW][C]0.165[/C][C]1.14757557130679[/C][C]0.0159261137429471[/C][/ROW]
[ROW][C]0.175[/C][C]1.15140224881465[/C][C]0.0158352012193408[/C][/ROW]
[ROW][C]0.185[/C][C]1.15512717488906[/C][C]0.0155465999967859[/C][/ROW]
[ROW][C]0.195[/C][C]1.15871951260999[/C][C]0.0151389355043857[/C][/ROW]
[ROW][C]0.205[/C][C]1.16216550858544[/C][C]0.0147025958549583[/C][/ROW]
[ROW][C]0.215[/C][C]1.16547000529651[/C][C]0.0143251492383347[/C][/ROW]
[ROW][C]0.225[/C][C]1.16865501799045[/C][C]0.0140905821874397[/C][/ROW]
[ROW][C]0.235[/C][C]1.17175628197902[/C][C]0.0140687847740668[/C][/ROW]
[ROW][C]0.245[/C][C]1.17481842896978[/C][C]0.0142986985883858[/C][/ROW]
[ROW][C]0.255[/C][C]1.17788935690627[/C][C]0.0147836406415206[/C][/ROW]
[ROW][C]0.265[/C][C]1.18101437952503[/C][C]0.0154918017252739[/C][/ROW]
[ROW][C]0.275[/C][C]1.18423079755862[/C][C]0.0163610310339514[/C][/ROW]
[ROW][C]0.285[/C][C]1.18756354116519[/C][C]0.0173004608689154[/C][/ROW]
[ROW][C]0.295[/C][C]1.19102244068330[/C][C]0.0182201277108177[/C][/ROW]
[ROW][C]0.305[/C][C]1.19460148052845[/C][C]0.0190306497960294[/C][/ROW]
[ROW][C]0.315[/C][C]1.1982801084194[/C][C]0.0196557309316686[/C][/ROW]
[ROW][C]0.325[/C][C]1.20202636426553[/C][C]0.0200482530408891[/C][/ROW]
[ROW][C]0.335[/C][C]1.20580132321156[/C][C]0.0201833283199037[/C][/ROW]
[ROW][C]0.345[/C][C]1.20956417015906[/C][C]0.0200689752800309[/C][/ROW]
[ROW][C]0.355[/C][C]1.21327717181611[/C][C]0.0197398789454504[/C][/ROW]
[ROW][C]0.365[/C][C]1.21690989190110[/C][C]0.0192550450384701[/C][/ROW]
[ROW][C]0.375[/C][C]1.22044218198525[/C][C]0.01868499575589[/C][/ROW]
[ROW][C]0.385[/C][C]1.22386572897832[/C][C]0.018100420642453[/C][/ROW]
[ROW][C]0.395[/C][C]1.22718419431243[/C][C]0.0175733439016784[/C][/ROW]
[ROW][C]0.405[/C][C]1.23041218667635[/C][C]0.017165400873377[/C][/ROW]
[ROW][C]0.415[/C][C]1.23357343280828[/C][C]0.0169220313471023[/C][/ROW]
[ROW][C]0.425[/C][C]1.23669853628805[/C][C]0.0168717416343428[/C][/ROW]
[ROW][C]0.435[/C][C]1.23982265446656[/C][C]0.0170350030005095[/C][/ROW]
[ROW][C]0.445[/C][C]1.24298331027986[/C][C]0.0174123819154056[/C][/ROW]
[ROW][C]0.455[/C][C]1.24621842983633[/C][C]0.0180024950136227[/C][/ROW]
[ROW][C]0.465[/C][C]1.24956459702373[/C][C]0.0187918548928333[/C][/ROW]
[ROW][C]0.475[/C][C]1.25305546892330[/C][C]0.0197560964443685[/C][/ROW]
[ROW][C]0.485[/C][C]1.25672030767027[/C][C]0.0208725747579227[/C][/ROW]
[ROW][C]0.495[/C][C]1.26058264322443[/C][C]0.0220931831775625[/C][/ROW]
[ROW][C]0.505[/C][C]1.26465916017313[/C][C]0.0233781779829515[/C][/ROW]
[ROW][C]0.515[/C][C]1.26895896677060[/C][C]0.0246782295593575[/C][/ROW]
[ROW][C]0.525[/C][C]1.27348342632769[/C][C]0.0259385671518125[/C][/ROW]
[ROW][C]0.535[/C][C]1.27822669301125[/C][C]0.0271166226069187[/C][/ROW]
[ROW][C]0.545[/C][C]1.28317699757329[/C][C]0.0281810718395024[/C][/ROW]
[ROW][C]0.555[/C][C]1.28831859361400[/C][C]0.0291111266568862[/C][/ROW]
[ROW][C]0.565[/C][C]1.29363413531436[/C][C]0.0299066266701367[/C][/ROW]
[ROW][C]0.575[/C][C]1.29910715090410[/C][C]0.0305838911233854[/C][/ROW]
[ROW][C]0.585[/C][C]1.30472423317983[/C][C]0.0311725326806706[/C][/ROW]
[ROW][C]0.595[/C][C]1.31047660321772[/C][C]0.0317083616822278[/C][/ROW]
[ROW][C]0.605[/C][C]1.31636080847103[/C][C]0.0322279943851978[/C][/ROW]
[ROW][C]0.615[/C][C]1.32237846417389[/C][C]0.0327616323411991[/C][/ROW]
[ROW][C]0.625[/C][C]1.32853509817561[/C][C]0.033330509766303[/C][/ROW]
[ROW][C]0.635[/C][C]1.33483827580761[/C][C]0.0339371025527121[/C][/ROW]
[ROW][C]0.645[/C][C]1.34129523907702[/C][C]0.0345729457685163[/C][/ROW]
[ROW][C]0.655[/C][C]1.34791029237341[/C][C]0.0352115847939174[/C][/ROW]
[ROW][C]0.665[/C][C]1.35468212792766[/C][C]0.0358176336603454[/C][/ROW]
[ROW][C]0.675[/C][C]1.36160124696639[/C][C]0.0363450581868395[/C][/ROW]
[ROW][C]0.685[/C][C]1.36864763498180[/C][C]0.0367360590632777[/C][/ROW]
[ROW][C]0.695[/C][C]1.37578891132801[/C][C]0.0369296867188342[/C][/ROW]
[ROW][C]0.705[/C][C]1.38297928192355[/C][C]0.0368586366803733[/C][/ROW]
[ROW][C]0.715[/C][C]1.39015973226457[/C][C]0.0364545005206723[/C][/ROW]
[ROW][C]0.725[/C][C]1.39725993695387[/C][C]0.0356631860914468[/C][/ROW]
[ROW][C]0.735[/C][C]1.40420226399577[/C][C]0.0344517632521696[/C][/ROW]
[ROW][C]0.745[/C][C]1.41090797984656[/C][C]0.0328190604408610[/C][/ROW]
[ROW][C]0.755[/C][C]1.41730532934959[/C][C]0.0308086898664823[/C][/ROW]
[ROW][C]0.765[/C][C]1.42333864581069[/C][C]0.0285110329675255[/C][/ROW]
[ROW][C]0.775[/C][C]1.4289771573847[/C][C]0.0260619048117985[/C][/ROW]
[ROW][C]0.785[/C][C]1.43422182949353[/C][C]0.0236319857918541[/C][/ROW]
[ROW][C]0.795[/C][C]1.43910853672773[/C][C]0.021408571495947[/C][/ROW]
[ROW][C]0.805[/C][C]1.44370617056627[/C][C]0.0195711520259746[/C][/ROW]
[ROW][C]0.815[/C][C]1.44810898983432[/C][C]0.0182589397699623[/C][/ROW]
[ROW][C]0.825[/C][C]1.45242357871232[/C][C]0.0175269954350229[/C][/ROW]
[ROW][C]0.835[/C][C]1.45675208332051[/C][C]0.0173235619233626[/C][/ROW]
[ROW][C]0.845[/C][C]1.46117472799322[/C][C]0.0174834303090612[/C][/ROW]
[ROW][C]0.855[/C][C]1.46573559189162[/C][C]0.0177736880922731[/C][/ROW]
[ROW][C]0.865[/C][C]1.47043575050099[/C][C]0.0179516941263211[/C][/ROW]
[ROW][C]0.875[/C][C]1.47523665837615[/C][C]0.017823245297919[/C][/ROW]
[ROW][C]0.885[/C][C]1.48007387443088[/C][C]0.0172939051565618[/C][/ROW]
[ROW][C]0.895[/C][C]1.48487740272339[/C][C]0.0163859690158299[/C][/ROW]
[ROW][C]0.905[/C][C]1.48959150840072[/C][C]0.0152258060936228[/C][/ROW]
[ROW][C]0.915[/C][C]1.49418619909699[/C][C]0.0139863517647920[/C][/ROW]
[ROW][C]0.925[/C][C]1.49865701670144[/C][C]0.0127992326059101[/C][/ROW]
[ROW][C]0.935[/C][C]1.50302006026277[/C][C]0.0116834343900109[/C][/ROW]
[ROW][C]0.945[/C][C]1.50732114760715[/C][C]0.0105683384780497[/C][/ROW]
[ROW][C]0.955[/C][C]1.51167737417009[/C][C]0.00945088787695475[/C][/ROW]
[ROW][C]0.965[/C][C]1.51632670305791[/C][C]0.00864040930220365[/C][/ROW]
[ROW][C]0.975[/C][C]1.52155287581408[/C][C]0.00889855321775066[/C][/ROW]
[ROW][C]0.985[/C][C]1.52726649276328[/C][C]0.0107835393792425[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49961&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49961&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0051.018410037329940.0175458627759752
0.0151.027995699640400.0222537819766445
0.0251.041455350729840.0279476793669033
0.0351.056423513872540.0313699974427392
0.0451.071155404752390.0315448934530053
0.0551.084533086135740.0290439518522917
0.0651.095963403114570.0250323834366021
0.0751.105303047429970.0207229885072191
0.0851.112752382842910.0170720099509723
0.0951.118712627834380.0146370999030274
0.1051.123644497273000.0135247773925624
0.1151.127962706904050.0134537918763281
0.1251.131979135144280.0139732245819760
0.1351.135889046060800.0146898969203328
0.1451.139785877034460.0153336572846722
0.1551.143689366654260.0157621825337260
0.1651.147575571306790.0159261137429471
0.1751.151402248814650.0158352012193408
0.1851.155127174889060.0155465999967859
0.1951.158719512609990.0151389355043857
0.2051.162165508585440.0147025958549583
0.2151.165470005296510.0143251492383347
0.2251.168655017990450.0140905821874397
0.2351.171756281979020.0140687847740668
0.2451.174818428969780.0142986985883858
0.2551.177889356906270.0147836406415206
0.2651.181014379525030.0154918017252739
0.2751.184230797558620.0163610310339514
0.2851.187563541165190.0173004608689154
0.2951.191022440683300.0182201277108177
0.3051.194601480528450.0190306497960294
0.3151.19828010841940.0196557309316686
0.3251.202026364265530.0200482530408891
0.3351.205801323211560.0201833283199037
0.3451.209564170159060.0200689752800309
0.3551.213277171816110.0197398789454504
0.3651.216909891901100.0192550450384701
0.3751.220442181985250.01868499575589
0.3851.223865728978320.018100420642453
0.3951.227184194312430.0175733439016784
0.4051.230412186676350.017165400873377
0.4151.233573432808280.0169220313471023
0.4251.236698536288050.0168717416343428
0.4351.239822654466560.0170350030005095
0.4451.242983310279860.0174123819154056
0.4551.246218429836330.0180024950136227
0.4651.249564597023730.0187918548928333
0.4751.253055468923300.0197560964443685
0.4851.256720307670270.0208725747579227
0.4951.260582643224430.0220931831775625
0.5051.264659160173130.0233781779829515
0.5151.268958966770600.0246782295593575
0.5251.273483426327690.0259385671518125
0.5351.278226693011250.0271166226069187
0.5451.283176997573290.0281810718395024
0.5551.288318593614000.0291111266568862
0.5651.293634135314360.0299066266701367
0.5751.299107150904100.0305838911233854
0.5851.304724233179830.0311725326806706
0.5951.310476603217720.0317083616822278
0.6051.316360808471030.0322279943851978
0.6151.322378464173890.0327616323411991
0.6251.328535098175610.033330509766303
0.6351.334838275807610.0339371025527121
0.6451.341295239077020.0345729457685163
0.6551.347910292373410.0352115847939174
0.6651.354682127927660.0358176336603454
0.6751.361601246966390.0363450581868395
0.6851.368647634981800.0367360590632777
0.6951.375788911328010.0369296867188342
0.7051.382979281923550.0368586366803733
0.7151.390159732264570.0364545005206723
0.7251.397259936953870.0356631860914468
0.7351.404202263995770.0344517632521696
0.7451.410907979846560.0328190604408610
0.7551.417305329349590.0308086898664823
0.7651.423338645810690.0285110329675255
0.7751.42897715738470.0260619048117985
0.7851.434221829493530.0236319857918541
0.7951.439108536727730.021408571495947
0.8051.443706170566270.0195711520259746
0.8151.448108989834320.0182589397699623
0.8251.452423578712320.0175269954350229
0.8351.456752083320510.0173235619233626
0.8451.461174727993220.0174834303090612
0.8551.465735591891620.0177736880922731
0.8651.470435750500990.0179516941263211
0.8751.475236658376150.017823245297919
0.8851.480073874430880.0172939051565618
0.8951.484877402723390.0163859690158299
0.9051.489591508400720.0152258060936228
0.9151.494186199096990.0139863517647920
0.9251.498657016701440.0127992326059101
0.9351.503020060262770.0116834343900109
0.9451.507321147607150.0105683384780497
0.9551.511677374170090.00945088787695475
0.9651.516326703057910.00864040930220365
0.9751.521552875814080.00889855321775066
0.9851.527266492763280.0107835393792425



Parameters (Session):
par1 = 0.005 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.005 ; 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')