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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 11 Oct 2010 14:56:22 +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/2010/Oct/11/t1286809005a968k3df4gd73l7.htm/, Retrieved Fri, 29 Mar 2024 01:33:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=82532, Retrieved Fri, 29 Mar 2024 01:33:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact85
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Opgave 4, oefenig...] [2010-10-11 14:56:22] [93b6d34f85f9cfe38e2fbbaaab7aeb02] [Current]
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Dataseries X:
0.74
0.73
0.76
0.8
0.83
0.81
0.83
0.88
0.89
0.93
0.91
0.9
0.86
0.88
0.93
0.98
0.97
1.03
1.06
1.06
1.08
1.09
1.04
1
1.01
1.02
1.04
1.06
1.06
1.06
1.06
1.06
1.02
0.98
0.99
0.99
0.94
0.96
0.98
1.01
1.01
1.02
1.04
1.03
1.05
1.08
1.17
1.11
1.11
1.11
1.2
1.21
1.31
1.37
1.37
1.26
1.23
1.17
1.06
0.95
0.92
0.92
0.9
0.93
0.93
0.97
0.96
0.99
0.98
0.96
1
0.99
1.03
1.02
1.07
1.13
1.15
1.16




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82532&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82532&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82532&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.7359086775812480.0149723871451106
0.020.7473124318415660.023802855916118
0.030.7622008914650170.0306251885668121
0.040.7784057847181230.0334001883433084
0.050.7943058451584010.0333024366086428
0.060.8090508967104570.032304965037933
0.070.8224456557510090.0315746779335025
0.080.8346367984062060.0311821414303003
0.090.8458263078304980.0306783054494699
0.10.8561326983877950.0296904167911576
0.110.8655858647028560.0281556259827365
0.120.8741818992099320.0262603193363961
0.130.8819349725781380.0242863187881108
0.140.8888992664984250.0224644256972632
0.150.895163194088720.0209108048049220
0.160.9008306916828030.0196354560138272
0.170.9060035122528680.0185904971196254
0.180.9107716004405770.0177275942306769
0.190.9152118288058460.0170282960677635
0.20.9193915194897620.0165049567179327
0.210.9233724992757240.0161861339637139
0.220.9272128110739920.0160894604531535
0.230.9309652610700360.0162007336591297
0.240.9346737030315120.0164680777403288
0.250.9383688494525260.0168107570945798
0.260.9420653991816240.0171350441011731
0.270.9457616256370530.0173607766504709
0.280.949441655561240.0174286548281906
0.290.9530798489560970.0173102225559974
0.30.9566462079962260.0170090827469341
0.310.9601116684401480.0165503633080217
0.320.9634523819568160.0159774222873769
0.330.9666525166420750.0153385998780894
0.340.9697055145384520.0146842068339613
0.350.9726140327890850.0140587533340995
0.360.9753889215327340.0135029857931374
0.370.9780475858870730.0130455356587064
0.380.9806120043288330.0127082183798819
0.390.983106593571440.0125006507120098
0.40.9855560591680470.0124198104815255
0.410.9879833601342120.0124525029283049
0.420.9904079303686170.0125728699189511
0.430.9928443147149290.0127494564933960
0.440.9953013703467270.0129467855099473
0.450.9977821421377780.0131312799975054
0.461.000284444363130.0132752583794976
0.471.002802082912980.0133587087344006
0.481.005326552282080.0133755056757696
0.491.007848961875800.0133317848684036
0.51.010361904540960.0132392927453488
0.511.012860985857800.0131251578808914
0.521.015345783924710.0130142654204843
0.531.017820094623900.0129355187987460
0.541.020291419328320.0129067506385042
0.551.022769753076690.0129432744899883
0.561.025265818630340.0130445248039773
0.571.027788960259860.0131951451138837
0.581.030344961834100.0133723669662772
0.591.032934090232720.013539996543048
0.61.035549687108130.0136550673529123
0.611.038177631469130.0136768284980478
0.621.040796956269270.0135653761193364
0.631.043381805344610.0132955486939165
0.641.045904751066110.0128628119154621
0.651.048341264291750.0122820783411668
0.661.05067486758380.0116006845747764
0.671.052902264310860.0108935574908045
0.681.055037586389780.0102601765522938
0.691.057114902107140.00981785318161465
0.71.059188306791880.00968807340605031
0.711.061329276504730.00996497082277545
0.721.063621446533560.0106945868216197
0.731.066153492178620.0118602877583975
0.741.069011226449810.013393381690891
0.751.072270273254360.0151990978060986
0.761.075990631174720.0171643746701923
0.771.080214063517760.0191831654028665
0.781.084964563382560.0211665167016300
0.791.090251287070850.0230530142541840
0.81.096072591485080.0248063398661599
0.811.102419506480690.0264125903129914
0.821.109277435879180.0278613572670309
0.831.116626170428330.0291260916848268
0.841.124440015827490.0301646353444811
0.851.132691133908010.0309326995748899
0.861.141359118315490.0314240708455308
0.871.150448035315760.0317112325551334
0.881.160009528085200.0319606909903389
0.891.170169015550520.0324146410059881
0.91.181152978235530.0333363208804388
0.911.193317436507570.0349750014634348
0.921.207174929825760.0375787384155002
0.931.223399473250760.041380785433028
0.941.242747168825470.0464149750143597
0.951.265772506355300.052030169183767
0.961.292210552516910.0561567523311882
0.971.320098447333730.0547488039377109
0.981.345299895271620.0429405010010441
0.991.362749348853520.0206140751396161

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.735908677581248 & 0.0149723871451106 \tabularnewline
0.02 & 0.747312431841566 & 0.023802855916118 \tabularnewline
0.03 & 0.762200891465017 & 0.0306251885668121 \tabularnewline
0.04 & 0.778405784718123 & 0.0334001883433084 \tabularnewline
0.05 & 0.794305845158401 & 0.0333024366086428 \tabularnewline
0.06 & 0.809050896710457 & 0.032304965037933 \tabularnewline
0.07 & 0.822445655751009 & 0.0315746779335025 \tabularnewline
0.08 & 0.834636798406206 & 0.0311821414303003 \tabularnewline
0.09 & 0.845826307830498 & 0.0306783054494699 \tabularnewline
0.1 & 0.856132698387795 & 0.0296904167911576 \tabularnewline
0.11 & 0.865585864702856 & 0.0281556259827365 \tabularnewline
0.12 & 0.874181899209932 & 0.0262603193363961 \tabularnewline
0.13 & 0.881934972578138 & 0.0242863187881108 \tabularnewline
0.14 & 0.888899266498425 & 0.0224644256972632 \tabularnewline
0.15 & 0.89516319408872 & 0.0209108048049220 \tabularnewline
0.16 & 0.900830691682803 & 0.0196354560138272 \tabularnewline
0.17 & 0.906003512252868 & 0.0185904971196254 \tabularnewline
0.18 & 0.910771600440577 & 0.0177275942306769 \tabularnewline
0.19 & 0.915211828805846 & 0.0170282960677635 \tabularnewline
0.2 & 0.919391519489762 & 0.0165049567179327 \tabularnewline
0.21 & 0.923372499275724 & 0.0161861339637139 \tabularnewline
0.22 & 0.927212811073992 & 0.0160894604531535 \tabularnewline
0.23 & 0.930965261070036 & 0.0162007336591297 \tabularnewline
0.24 & 0.934673703031512 & 0.0164680777403288 \tabularnewline
0.25 & 0.938368849452526 & 0.0168107570945798 \tabularnewline
0.26 & 0.942065399181624 & 0.0171350441011731 \tabularnewline
0.27 & 0.945761625637053 & 0.0173607766504709 \tabularnewline
0.28 & 0.94944165556124 & 0.0174286548281906 \tabularnewline
0.29 & 0.953079848956097 & 0.0173102225559974 \tabularnewline
0.3 & 0.956646207996226 & 0.0170090827469341 \tabularnewline
0.31 & 0.960111668440148 & 0.0165503633080217 \tabularnewline
0.32 & 0.963452381956816 & 0.0159774222873769 \tabularnewline
0.33 & 0.966652516642075 & 0.0153385998780894 \tabularnewline
0.34 & 0.969705514538452 & 0.0146842068339613 \tabularnewline
0.35 & 0.972614032789085 & 0.0140587533340995 \tabularnewline
0.36 & 0.975388921532734 & 0.0135029857931374 \tabularnewline
0.37 & 0.978047585887073 & 0.0130455356587064 \tabularnewline
0.38 & 0.980612004328833 & 0.0127082183798819 \tabularnewline
0.39 & 0.98310659357144 & 0.0125006507120098 \tabularnewline
0.4 & 0.985556059168047 & 0.0124198104815255 \tabularnewline
0.41 & 0.987983360134212 & 0.0124525029283049 \tabularnewline
0.42 & 0.990407930368617 & 0.0125728699189511 \tabularnewline
0.43 & 0.992844314714929 & 0.0127494564933960 \tabularnewline
0.44 & 0.995301370346727 & 0.0129467855099473 \tabularnewline
0.45 & 0.997782142137778 & 0.0131312799975054 \tabularnewline
0.46 & 1.00028444436313 & 0.0132752583794976 \tabularnewline
0.47 & 1.00280208291298 & 0.0133587087344006 \tabularnewline
0.48 & 1.00532655228208 & 0.0133755056757696 \tabularnewline
0.49 & 1.00784896187580 & 0.0133317848684036 \tabularnewline
0.5 & 1.01036190454096 & 0.0132392927453488 \tabularnewline
0.51 & 1.01286098585780 & 0.0131251578808914 \tabularnewline
0.52 & 1.01534578392471 & 0.0130142654204843 \tabularnewline
0.53 & 1.01782009462390 & 0.0129355187987460 \tabularnewline
0.54 & 1.02029141932832 & 0.0129067506385042 \tabularnewline
0.55 & 1.02276975307669 & 0.0129432744899883 \tabularnewline
0.56 & 1.02526581863034 & 0.0130445248039773 \tabularnewline
0.57 & 1.02778896025986 & 0.0131951451138837 \tabularnewline
0.58 & 1.03034496183410 & 0.0133723669662772 \tabularnewline
0.59 & 1.03293409023272 & 0.013539996543048 \tabularnewline
0.6 & 1.03554968710813 & 0.0136550673529123 \tabularnewline
0.61 & 1.03817763146913 & 0.0136768284980478 \tabularnewline
0.62 & 1.04079695626927 & 0.0135653761193364 \tabularnewline
0.63 & 1.04338180534461 & 0.0132955486939165 \tabularnewline
0.64 & 1.04590475106611 & 0.0128628119154621 \tabularnewline
0.65 & 1.04834126429175 & 0.0122820783411668 \tabularnewline
0.66 & 1.0506748675838 & 0.0116006845747764 \tabularnewline
0.67 & 1.05290226431086 & 0.0108935574908045 \tabularnewline
0.68 & 1.05503758638978 & 0.0102601765522938 \tabularnewline
0.69 & 1.05711490210714 & 0.00981785318161465 \tabularnewline
0.7 & 1.05918830679188 & 0.00968807340605031 \tabularnewline
0.71 & 1.06132927650473 & 0.00996497082277545 \tabularnewline
0.72 & 1.06362144653356 & 0.0106945868216197 \tabularnewline
0.73 & 1.06615349217862 & 0.0118602877583975 \tabularnewline
0.74 & 1.06901122644981 & 0.013393381690891 \tabularnewline
0.75 & 1.07227027325436 & 0.0151990978060986 \tabularnewline
0.76 & 1.07599063117472 & 0.0171643746701923 \tabularnewline
0.77 & 1.08021406351776 & 0.0191831654028665 \tabularnewline
0.78 & 1.08496456338256 & 0.0211665167016300 \tabularnewline
0.79 & 1.09025128707085 & 0.0230530142541840 \tabularnewline
0.8 & 1.09607259148508 & 0.0248063398661599 \tabularnewline
0.81 & 1.10241950648069 & 0.0264125903129914 \tabularnewline
0.82 & 1.10927743587918 & 0.0278613572670309 \tabularnewline
0.83 & 1.11662617042833 & 0.0291260916848268 \tabularnewline
0.84 & 1.12444001582749 & 0.0301646353444811 \tabularnewline
0.85 & 1.13269113390801 & 0.0309326995748899 \tabularnewline
0.86 & 1.14135911831549 & 0.0314240708455308 \tabularnewline
0.87 & 1.15044803531576 & 0.0317112325551334 \tabularnewline
0.88 & 1.16000952808520 & 0.0319606909903389 \tabularnewline
0.89 & 1.17016901555052 & 0.0324146410059881 \tabularnewline
0.9 & 1.18115297823553 & 0.0333363208804388 \tabularnewline
0.91 & 1.19331743650757 & 0.0349750014634348 \tabularnewline
0.92 & 1.20717492982576 & 0.0375787384155002 \tabularnewline
0.93 & 1.22339947325076 & 0.041380785433028 \tabularnewline
0.94 & 1.24274716882547 & 0.0464149750143597 \tabularnewline
0.95 & 1.26577250635530 & 0.052030169183767 \tabularnewline
0.96 & 1.29221055251691 & 0.0561567523311882 \tabularnewline
0.97 & 1.32009844733373 & 0.0547488039377109 \tabularnewline
0.98 & 1.34529989527162 & 0.0429405010010441 \tabularnewline
0.99 & 1.36274934885352 & 0.0206140751396161 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82532&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]0.735908677581248[/C][C]0.0149723871451106[/C][/ROW]
[ROW][C]0.02[/C][C]0.747312431841566[/C][C]0.023802855916118[/C][/ROW]
[ROW][C]0.03[/C][C]0.762200891465017[/C][C]0.0306251885668121[/C][/ROW]
[ROW][C]0.04[/C][C]0.778405784718123[/C][C]0.0334001883433084[/C][/ROW]
[ROW][C]0.05[/C][C]0.794305845158401[/C][C]0.0333024366086428[/C][/ROW]
[ROW][C]0.06[/C][C]0.809050896710457[/C][C]0.032304965037933[/C][/ROW]
[ROW][C]0.07[/C][C]0.822445655751009[/C][C]0.0315746779335025[/C][/ROW]
[ROW][C]0.08[/C][C]0.834636798406206[/C][C]0.0311821414303003[/C][/ROW]
[ROW][C]0.09[/C][C]0.845826307830498[/C][C]0.0306783054494699[/C][/ROW]
[ROW][C]0.1[/C][C]0.856132698387795[/C][C]0.0296904167911576[/C][/ROW]
[ROW][C]0.11[/C][C]0.865585864702856[/C][C]0.0281556259827365[/C][/ROW]
[ROW][C]0.12[/C][C]0.874181899209932[/C][C]0.0262603193363961[/C][/ROW]
[ROW][C]0.13[/C][C]0.881934972578138[/C][C]0.0242863187881108[/C][/ROW]
[ROW][C]0.14[/C][C]0.888899266498425[/C][C]0.0224644256972632[/C][/ROW]
[ROW][C]0.15[/C][C]0.89516319408872[/C][C]0.0209108048049220[/C][/ROW]
[ROW][C]0.16[/C][C]0.900830691682803[/C][C]0.0196354560138272[/C][/ROW]
[ROW][C]0.17[/C][C]0.906003512252868[/C][C]0.0185904971196254[/C][/ROW]
[ROW][C]0.18[/C][C]0.910771600440577[/C][C]0.0177275942306769[/C][/ROW]
[ROW][C]0.19[/C][C]0.915211828805846[/C][C]0.0170282960677635[/C][/ROW]
[ROW][C]0.2[/C][C]0.919391519489762[/C][C]0.0165049567179327[/C][/ROW]
[ROW][C]0.21[/C][C]0.923372499275724[/C][C]0.0161861339637139[/C][/ROW]
[ROW][C]0.22[/C][C]0.927212811073992[/C][C]0.0160894604531535[/C][/ROW]
[ROW][C]0.23[/C][C]0.930965261070036[/C][C]0.0162007336591297[/C][/ROW]
[ROW][C]0.24[/C][C]0.934673703031512[/C][C]0.0164680777403288[/C][/ROW]
[ROW][C]0.25[/C][C]0.938368849452526[/C][C]0.0168107570945798[/C][/ROW]
[ROW][C]0.26[/C][C]0.942065399181624[/C][C]0.0171350441011731[/C][/ROW]
[ROW][C]0.27[/C][C]0.945761625637053[/C][C]0.0173607766504709[/C][/ROW]
[ROW][C]0.28[/C][C]0.94944165556124[/C][C]0.0174286548281906[/C][/ROW]
[ROW][C]0.29[/C][C]0.953079848956097[/C][C]0.0173102225559974[/C][/ROW]
[ROW][C]0.3[/C][C]0.956646207996226[/C][C]0.0170090827469341[/C][/ROW]
[ROW][C]0.31[/C][C]0.960111668440148[/C][C]0.0165503633080217[/C][/ROW]
[ROW][C]0.32[/C][C]0.963452381956816[/C][C]0.0159774222873769[/C][/ROW]
[ROW][C]0.33[/C][C]0.966652516642075[/C][C]0.0153385998780894[/C][/ROW]
[ROW][C]0.34[/C][C]0.969705514538452[/C][C]0.0146842068339613[/C][/ROW]
[ROW][C]0.35[/C][C]0.972614032789085[/C][C]0.0140587533340995[/C][/ROW]
[ROW][C]0.36[/C][C]0.975388921532734[/C][C]0.0135029857931374[/C][/ROW]
[ROW][C]0.37[/C][C]0.978047585887073[/C][C]0.0130455356587064[/C][/ROW]
[ROW][C]0.38[/C][C]0.980612004328833[/C][C]0.0127082183798819[/C][/ROW]
[ROW][C]0.39[/C][C]0.98310659357144[/C][C]0.0125006507120098[/C][/ROW]
[ROW][C]0.4[/C][C]0.985556059168047[/C][C]0.0124198104815255[/C][/ROW]
[ROW][C]0.41[/C][C]0.987983360134212[/C][C]0.0124525029283049[/C][/ROW]
[ROW][C]0.42[/C][C]0.990407930368617[/C][C]0.0125728699189511[/C][/ROW]
[ROW][C]0.43[/C][C]0.992844314714929[/C][C]0.0127494564933960[/C][/ROW]
[ROW][C]0.44[/C][C]0.995301370346727[/C][C]0.0129467855099473[/C][/ROW]
[ROW][C]0.45[/C][C]0.997782142137778[/C][C]0.0131312799975054[/C][/ROW]
[ROW][C]0.46[/C][C]1.00028444436313[/C][C]0.0132752583794976[/C][/ROW]
[ROW][C]0.47[/C][C]1.00280208291298[/C][C]0.0133587087344006[/C][/ROW]
[ROW][C]0.48[/C][C]1.00532655228208[/C][C]0.0133755056757696[/C][/ROW]
[ROW][C]0.49[/C][C]1.00784896187580[/C][C]0.0133317848684036[/C][/ROW]
[ROW][C]0.5[/C][C]1.01036190454096[/C][C]0.0132392927453488[/C][/ROW]
[ROW][C]0.51[/C][C]1.01286098585780[/C][C]0.0131251578808914[/C][/ROW]
[ROW][C]0.52[/C][C]1.01534578392471[/C][C]0.0130142654204843[/C][/ROW]
[ROW][C]0.53[/C][C]1.01782009462390[/C][C]0.0129355187987460[/C][/ROW]
[ROW][C]0.54[/C][C]1.02029141932832[/C][C]0.0129067506385042[/C][/ROW]
[ROW][C]0.55[/C][C]1.02276975307669[/C][C]0.0129432744899883[/C][/ROW]
[ROW][C]0.56[/C][C]1.02526581863034[/C][C]0.0130445248039773[/C][/ROW]
[ROW][C]0.57[/C][C]1.02778896025986[/C][C]0.0131951451138837[/C][/ROW]
[ROW][C]0.58[/C][C]1.03034496183410[/C][C]0.0133723669662772[/C][/ROW]
[ROW][C]0.59[/C][C]1.03293409023272[/C][C]0.013539996543048[/C][/ROW]
[ROW][C]0.6[/C][C]1.03554968710813[/C][C]0.0136550673529123[/C][/ROW]
[ROW][C]0.61[/C][C]1.03817763146913[/C][C]0.0136768284980478[/C][/ROW]
[ROW][C]0.62[/C][C]1.04079695626927[/C][C]0.0135653761193364[/C][/ROW]
[ROW][C]0.63[/C][C]1.04338180534461[/C][C]0.0132955486939165[/C][/ROW]
[ROW][C]0.64[/C][C]1.04590475106611[/C][C]0.0128628119154621[/C][/ROW]
[ROW][C]0.65[/C][C]1.04834126429175[/C][C]0.0122820783411668[/C][/ROW]
[ROW][C]0.66[/C][C]1.0506748675838[/C][C]0.0116006845747764[/C][/ROW]
[ROW][C]0.67[/C][C]1.05290226431086[/C][C]0.0108935574908045[/C][/ROW]
[ROW][C]0.68[/C][C]1.05503758638978[/C][C]0.0102601765522938[/C][/ROW]
[ROW][C]0.69[/C][C]1.05711490210714[/C][C]0.00981785318161465[/C][/ROW]
[ROW][C]0.7[/C][C]1.05918830679188[/C][C]0.00968807340605031[/C][/ROW]
[ROW][C]0.71[/C][C]1.06132927650473[/C][C]0.00996497082277545[/C][/ROW]
[ROW][C]0.72[/C][C]1.06362144653356[/C][C]0.0106945868216197[/C][/ROW]
[ROW][C]0.73[/C][C]1.06615349217862[/C][C]0.0118602877583975[/C][/ROW]
[ROW][C]0.74[/C][C]1.06901122644981[/C][C]0.013393381690891[/C][/ROW]
[ROW][C]0.75[/C][C]1.07227027325436[/C][C]0.0151990978060986[/C][/ROW]
[ROW][C]0.76[/C][C]1.07599063117472[/C][C]0.0171643746701923[/C][/ROW]
[ROW][C]0.77[/C][C]1.08021406351776[/C][C]0.0191831654028665[/C][/ROW]
[ROW][C]0.78[/C][C]1.08496456338256[/C][C]0.0211665167016300[/C][/ROW]
[ROW][C]0.79[/C][C]1.09025128707085[/C][C]0.0230530142541840[/C][/ROW]
[ROW][C]0.8[/C][C]1.09607259148508[/C][C]0.0248063398661599[/C][/ROW]
[ROW][C]0.81[/C][C]1.10241950648069[/C][C]0.0264125903129914[/C][/ROW]
[ROW][C]0.82[/C][C]1.10927743587918[/C][C]0.0278613572670309[/C][/ROW]
[ROW][C]0.83[/C][C]1.11662617042833[/C][C]0.0291260916848268[/C][/ROW]
[ROW][C]0.84[/C][C]1.12444001582749[/C][C]0.0301646353444811[/C][/ROW]
[ROW][C]0.85[/C][C]1.13269113390801[/C][C]0.0309326995748899[/C][/ROW]
[ROW][C]0.86[/C][C]1.14135911831549[/C][C]0.0314240708455308[/C][/ROW]
[ROW][C]0.87[/C][C]1.15044803531576[/C][C]0.0317112325551334[/C][/ROW]
[ROW][C]0.88[/C][C]1.16000952808520[/C][C]0.0319606909903389[/C][/ROW]
[ROW][C]0.89[/C][C]1.17016901555052[/C][C]0.0324146410059881[/C][/ROW]
[ROW][C]0.9[/C][C]1.18115297823553[/C][C]0.0333363208804388[/C][/ROW]
[ROW][C]0.91[/C][C]1.19331743650757[/C][C]0.0349750014634348[/C][/ROW]
[ROW][C]0.92[/C][C]1.20717492982576[/C][C]0.0375787384155002[/C][/ROW]
[ROW][C]0.93[/C][C]1.22339947325076[/C][C]0.041380785433028[/C][/ROW]
[ROW][C]0.94[/C][C]1.24274716882547[/C][C]0.0464149750143597[/C][/ROW]
[ROW][C]0.95[/C][C]1.26577250635530[/C][C]0.052030169183767[/C][/ROW]
[ROW][C]0.96[/C][C]1.29221055251691[/C][C]0.0561567523311882[/C][/ROW]
[ROW][C]0.97[/C][C]1.32009844733373[/C][C]0.0547488039377109[/C][/ROW]
[ROW][C]0.98[/C][C]1.34529989527162[/C][C]0.0429405010010441[/C][/ROW]
[ROW][C]0.99[/C][C]1.36274934885352[/C][C]0.0206140751396161[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82532&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82532&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
0.010.7359086775812480.0149723871451106
0.020.7473124318415660.023802855916118
0.030.7622008914650170.0306251885668121
0.040.7784057847181230.0334001883433084
0.050.7943058451584010.0333024366086428
0.060.8090508967104570.032304965037933
0.070.8224456557510090.0315746779335025
0.080.8346367984062060.0311821414303003
0.090.8458263078304980.0306783054494699
0.10.8561326983877950.0296904167911576
0.110.8655858647028560.0281556259827365
0.120.8741818992099320.0262603193363961
0.130.8819349725781380.0242863187881108
0.140.8888992664984250.0224644256972632
0.150.895163194088720.0209108048049220
0.160.9008306916828030.0196354560138272
0.170.9060035122528680.0185904971196254
0.180.9107716004405770.0177275942306769
0.190.9152118288058460.0170282960677635
0.20.9193915194897620.0165049567179327
0.210.9233724992757240.0161861339637139
0.220.9272128110739920.0160894604531535
0.230.9309652610700360.0162007336591297
0.240.9346737030315120.0164680777403288
0.250.9383688494525260.0168107570945798
0.260.9420653991816240.0171350441011731
0.270.9457616256370530.0173607766504709
0.280.949441655561240.0174286548281906
0.290.9530798489560970.0173102225559974
0.30.9566462079962260.0170090827469341
0.310.9601116684401480.0165503633080217
0.320.9634523819568160.0159774222873769
0.330.9666525166420750.0153385998780894
0.340.9697055145384520.0146842068339613
0.350.9726140327890850.0140587533340995
0.360.9753889215327340.0135029857931374
0.370.9780475858870730.0130455356587064
0.380.9806120043288330.0127082183798819
0.390.983106593571440.0125006507120098
0.40.9855560591680470.0124198104815255
0.410.9879833601342120.0124525029283049
0.420.9904079303686170.0125728699189511
0.430.9928443147149290.0127494564933960
0.440.9953013703467270.0129467855099473
0.450.9977821421377780.0131312799975054
0.461.000284444363130.0132752583794976
0.471.002802082912980.0133587087344006
0.481.005326552282080.0133755056757696
0.491.007848961875800.0133317848684036
0.51.010361904540960.0132392927453488
0.511.012860985857800.0131251578808914
0.521.015345783924710.0130142654204843
0.531.017820094623900.0129355187987460
0.541.020291419328320.0129067506385042
0.551.022769753076690.0129432744899883
0.561.025265818630340.0130445248039773
0.571.027788960259860.0131951451138837
0.581.030344961834100.0133723669662772
0.591.032934090232720.013539996543048
0.61.035549687108130.0136550673529123
0.611.038177631469130.0136768284980478
0.621.040796956269270.0135653761193364
0.631.043381805344610.0132955486939165
0.641.045904751066110.0128628119154621
0.651.048341264291750.0122820783411668
0.661.05067486758380.0116006845747764
0.671.052902264310860.0108935574908045
0.681.055037586389780.0102601765522938
0.691.057114902107140.00981785318161465
0.71.059188306791880.00968807340605031
0.711.061329276504730.00996497082277545
0.721.063621446533560.0106945868216197
0.731.066153492178620.0118602877583975
0.741.069011226449810.013393381690891
0.751.072270273254360.0151990978060986
0.761.075990631174720.0171643746701923
0.771.080214063517760.0191831654028665
0.781.084964563382560.0211665167016300
0.791.090251287070850.0230530142541840
0.81.096072591485080.0248063398661599
0.811.102419506480690.0264125903129914
0.821.109277435879180.0278613572670309
0.831.116626170428330.0291260916848268
0.841.124440015827490.0301646353444811
0.851.132691133908010.0309326995748899
0.861.141359118315490.0314240708455308
0.871.150448035315760.0317112325551334
0.881.160009528085200.0319606909903389
0.891.170169015550520.0324146410059881
0.91.181152978235530.0333363208804388
0.911.193317436507570.0349750014634348
0.921.207174929825760.0375787384155002
0.931.223399473250760.041380785433028
0.941.242747168825470.0464149750143597
0.951.265772506355300.052030169183767
0.961.292210552516910.0561567523311882
0.971.320098447333730.0547488039377109
0.981.345299895271620.0429405010010441
0.991.362749348853520.0206140751396161



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')