FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 11 Oct 2010 14:51:11 +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/t1286808616hx237scnr4f2xm0.htm/, Retrieved Thu, 25 Apr 2024 04:34:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=82523, Retrieved Thu, 25 Apr 2024 04:34:43 +0000
QR Codes:

Original text written by user:Dit zijn de percentielen voor damesfietsen.
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact108

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] [Opgave 4 Oefening...] [2010-10-11 14:51:11] [cf38f7df7be58a8c28b053c2e6c1601e] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
361.58
363.19
363.61
364.14
365.51
365.51
365.5
365.5
364.59
364.63
364.54
363.67
365.22
369.05
370.45
370.46
370.46
370.58
370.58
370.22
370.21
370.29
370.29
370.2
370.2
372.55
374.51
375.58
375.75
375.75
375.75
375.69
375.76
377.5
377.51
377.74
369.82
373.1
374.55
375.01
374.81
375.31
375.31
375.39
375.59
376.26
377.18
377.26
377.26
381.87
387.09
387.14
388.78
389.16
389.16
389.42
389.49
388.97
388.97
389.09
389.09
391.76
390.96
391.76
392.8
393.06
393.06
393.26
393.87
394.47
394.57
394.57
394.57
399.57
406.13
407.03
409.46
409.9
409.9
410.14
410.54
410.69
410.79
410.97

Tables (Output of Computation)





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=82523&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=82523&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82523&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01362.1159198840231.22099654087645
0.02362.7933648372110.800355848597695
0.03363.326673802710.562399986572121
0.04363.69806781520.500405131310697
0.05363.9793352678550.510902125940708
0.06364.2236042083970.536346712085439
0.07364.4558451801520.574028873333768
0.08364.6893690462140.642294402550817
0.09364.9364450927070.757378212839724
0.1365.2106826724140.927406483994872
0.11365.5251921617711.14474546296744
0.12365.8893741773141.38971217257854
0.13366.3058136274641.62713600102723
0.14366.7683198269371.81791903198493
0.15367.2619562773961.92788425615708
0.16367.7653629037081.93759152978699
0.17368.2548462639761.84758387693341
0.18368.7090422526521.67714279142613
0.19369.1128068603541.45853206020838
0.2369.4593904355241.22848742720008
0.21369.7506322418131.02320435158832
0.22369.9955300568480.870456904878841
0.23370.207869824530.791272076100431
0.24370.4036112571080.792841532412529
0.25370.5985286051380.867345725673778
0.26370.8063558326650.996498747893706
0.27371.0374951869011.15934440806739
0.28371.2982564437321.33496652746602
0.29371.5905786777881.50321895620789
0.3371.9121991693141.64562978036867
0.31372.257234326951.74806397776388
0.32372.6171095136711.80053607876285
0.33372.9817276888381.79918779694124
0.34373.3407237534931.74636237645223
0.35373.6846345391061.64964258582348
0.36374.005834218291.51977129163283
0.37374.2991373937851.36998053525126
0.38374.5620416637231.21424693311529
0.39374.7946484161511.06525016981687
0.4374.9993487846810.932608526892164
0.41375.1803831362460.825799113304678
0.42375.3433781950660.750441223659541
0.43375.494943333160.712263186022439
0.44375.642376173250.714041122642162
0.45375.7934951740980.758451672384773
0.46375.9565872575990.847168259260808
0.47376.140432384920.982885760384785
0.48376.3543437767161.16675396746421
0.49376.6081433762981.40204196541369
0.5376.9119818590631.69111045610562
0.51377.2759187936672.03203337831883
0.52377.7092094240982.41900638884561
0.53378.2193034411592.84011909250541
0.54378.8106425599073.27672384447930
0.55379.4834313123113.70206893739686
0.56380.2326242054364.08618330138387
0.57381.0473955235914.39718326344567
0.58381.9113165556164.6063514734652
0.59382.8033563950494.69324170793473
0.6383.6996648647444.64656933274106
0.61384.5759255537284.47103320984841
0.62385.4099275170474.18316890655786
0.63386.1839345760853.8116898091071
0.64386.8864522749313.39274797857113
0.65387.5131008740282.96546241435975
0.66388.0664718359982.56554596430379
0.67388.5550344403992.22368928058874
0.68388.9913260065051.95950014821501
0.69389.3897708000611.78017737211912
0.7389.7645124616791.67899200258133
0.71390.1276135414891.63859527302394
0.72390.4878883933301.63454741607273
0.73390.8505160513081.64471738472795
0.74391.2174549672931.65198725145633
0.75391.5885768094461.64680286677894
0.76391.9633686578681.62934578254661
0.77392.3430223453121.60856286595068
0.78392.7327138637951.60463516143174
0.79393.14383045851.64676962957742
0.8393.5957802802511.77290055356245
0.81394.1168061397452.02198268513806
0.82394.7429911192192.42214046863179
0.83395.5145693087342.97713361570588
0.84396.4689887973393.65639862710843
0.85397.6310996875194.39004360253541
0.86399.0022777836585.07178915750084
0.87400.5517581632705.57405671871144
0.88402.2141165025765.77865468075449
0.89403.8959011999825.61187003640791
0.9405.4916634141135.07367103704723
0.91406.9058138105484.24668469691429
0.92408.0735033037473.27498394663510
0.93408.9729375760952.32230009981083
0.94409.6242649749691.5213653157943
0.95410.0758807067620.93851501912328
0.96410.3851666973560.565493510461751
0.97410.6031719697440.344102953628819
0.98410.7672749198830.218420576318314
0.99410.8942880658120.17179765982415

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 362.115919884023 & 1.22099654087645 \tabularnewline
0.02 & 362.793364837211 & 0.800355848597695 \tabularnewline
0.03 & 363.32667380271 & 0.562399986572121 \tabularnewline
0.04 & 363.6980678152 & 0.500405131310697 \tabularnewline
0.05 & 363.979335267855 & 0.510902125940708 \tabularnewline
0.06 & 364.223604208397 & 0.536346712085439 \tabularnewline
0.07 & 364.455845180152 & 0.574028873333768 \tabularnewline
0.08 & 364.689369046214 & 0.642294402550817 \tabularnewline
0.09 & 364.936445092707 & 0.757378212839724 \tabularnewline
0.1 & 365.210682672414 & 0.927406483994872 \tabularnewline
0.11 & 365.525192161771 & 1.14474546296744 \tabularnewline
0.12 & 365.889374177314 & 1.38971217257854 \tabularnewline
0.13 & 366.305813627464 & 1.62713600102723 \tabularnewline
0.14 & 366.768319826937 & 1.81791903198493 \tabularnewline
0.15 & 367.261956277396 & 1.92788425615708 \tabularnewline
0.16 & 367.765362903708 & 1.93759152978699 \tabularnewline
0.17 & 368.254846263976 & 1.84758387693341 \tabularnewline
0.18 & 368.709042252652 & 1.67714279142613 \tabularnewline
0.19 & 369.112806860354 & 1.45853206020838 \tabularnewline
0.2 & 369.459390435524 & 1.22848742720008 \tabularnewline
0.21 & 369.750632241813 & 1.02320435158832 \tabularnewline
0.22 & 369.995530056848 & 0.870456904878841 \tabularnewline
0.23 & 370.20786982453 & 0.791272076100431 \tabularnewline
0.24 & 370.403611257108 & 0.792841532412529 \tabularnewline
0.25 & 370.598528605138 & 0.867345725673778 \tabularnewline
0.26 & 370.806355832665 & 0.996498747893706 \tabularnewline
0.27 & 371.037495186901 & 1.15934440806739 \tabularnewline
0.28 & 371.298256443732 & 1.33496652746602 \tabularnewline
0.29 & 371.590578677788 & 1.50321895620789 \tabularnewline
0.3 & 371.912199169314 & 1.64562978036867 \tabularnewline
0.31 & 372.25723432695 & 1.74806397776388 \tabularnewline
0.32 & 372.617109513671 & 1.80053607876285 \tabularnewline
0.33 & 372.981727688838 & 1.79918779694124 \tabularnewline
0.34 & 373.340723753493 & 1.74636237645223 \tabularnewline
0.35 & 373.684634539106 & 1.64964258582348 \tabularnewline
0.36 & 374.00583421829 & 1.51977129163283 \tabularnewline
0.37 & 374.299137393785 & 1.36998053525126 \tabularnewline
0.38 & 374.562041663723 & 1.21424693311529 \tabularnewline
0.39 & 374.794648416151 & 1.06525016981687 \tabularnewline
0.4 & 374.999348784681 & 0.932608526892164 \tabularnewline
0.41 & 375.180383136246 & 0.825799113304678 \tabularnewline
0.42 & 375.343378195066 & 0.750441223659541 \tabularnewline
0.43 & 375.49494333316 & 0.712263186022439 \tabularnewline
0.44 & 375.64237617325 & 0.714041122642162 \tabularnewline
0.45 & 375.793495174098 & 0.758451672384773 \tabularnewline
0.46 & 375.956587257599 & 0.847168259260808 \tabularnewline
0.47 & 376.14043238492 & 0.982885760384785 \tabularnewline
0.48 & 376.354343776716 & 1.16675396746421 \tabularnewline
0.49 & 376.608143376298 & 1.40204196541369 \tabularnewline
0.5 & 376.911981859063 & 1.69111045610562 \tabularnewline
0.51 & 377.275918793667 & 2.03203337831883 \tabularnewline
0.52 & 377.709209424098 & 2.41900638884561 \tabularnewline
0.53 & 378.219303441159 & 2.84011909250541 \tabularnewline
0.54 & 378.810642559907 & 3.27672384447930 \tabularnewline
0.55 & 379.483431312311 & 3.70206893739686 \tabularnewline
0.56 & 380.232624205436 & 4.08618330138387 \tabularnewline
0.57 & 381.047395523591 & 4.39718326344567 \tabularnewline
0.58 & 381.911316555616 & 4.6063514734652 \tabularnewline
0.59 & 382.803356395049 & 4.69324170793473 \tabularnewline
0.6 & 383.699664864744 & 4.64656933274106 \tabularnewline
0.61 & 384.575925553728 & 4.47103320984841 \tabularnewline
0.62 & 385.409927517047 & 4.18316890655786 \tabularnewline
0.63 & 386.183934576085 & 3.8116898091071 \tabularnewline
0.64 & 386.886452274931 & 3.39274797857113 \tabularnewline
0.65 & 387.513100874028 & 2.96546241435975 \tabularnewline
0.66 & 388.066471835998 & 2.56554596430379 \tabularnewline
0.67 & 388.555034440399 & 2.22368928058874 \tabularnewline
0.68 & 388.991326006505 & 1.95950014821501 \tabularnewline
0.69 & 389.389770800061 & 1.78017737211912 \tabularnewline
0.7 & 389.764512461679 & 1.67899200258133 \tabularnewline
0.71 & 390.127613541489 & 1.63859527302394 \tabularnewline
0.72 & 390.487888393330 & 1.63454741607273 \tabularnewline
0.73 & 390.850516051308 & 1.64471738472795 \tabularnewline
0.74 & 391.217454967293 & 1.65198725145633 \tabularnewline
0.75 & 391.588576809446 & 1.64680286677894 \tabularnewline
0.76 & 391.963368657868 & 1.62934578254661 \tabularnewline
0.77 & 392.343022345312 & 1.60856286595068 \tabularnewline
0.78 & 392.732713863795 & 1.60463516143174 \tabularnewline
0.79 & 393.1438304585 & 1.64676962957742 \tabularnewline
0.8 & 393.595780280251 & 1.77290055356245 \tabularnewline
0.81 & 394.116806139745 & 2.02198268513806 \tabularnewline
0.82 & 394.742991119219 & 2.42214046863179 \tabularnewline
0.83 & 395.514569308734 & 2.97713361570588 \tabularnewline
0.84 & 396.468988797339 & 3.65639862710843 \tabularnewline
0.85 & 397.631099687519 & 4.39004360253541 \tabularnewline
0.86 & 399.002277783658 & 5.07178915750084 \tabularnewline
0.87 & 400.551758163270 & 5.57405671871144 \tabularnewline
0.88 & 402.214116502576 & 5.77865468075449 \tabularnewline
0.89 & 403.895901199982 & 5.61187003640791 \tabularnewline
0.9 & 405.491663414113 & 5.07367103704723 \tabularnewline
0.91 & 406.905813810548 & 4.24668469691429 \tabularnewline
0.92 & 408.073503303747 & 3.27498394663510 \tabularnewline
0.93 & 408.972937576095 & 2.32230009981083 \tabularnewline
0.94 & 409.624264974969 & 1.5213653157943 \tabularnewline
0.95 & 410.075880706762 & 0.93851501912328 \tabularnewline
0.96 & 410.385166697356 & 0.565493510461751 \tabularnewline
0.97 & 410.603171969744 & 0.344102953628819 \tabularnewline
0.98 & 410.767274919883 & 0.218420576318314 \tabularnewline
0.99 & 410.894288065812 & 0.17179765982415 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82523&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]362.115919884023[/C][C]1.22099654087645[/C][/ROW]
[ROW][C]0.02[/C][C]362.793364837211[/C][C]0.800355848597695[/C][/ROW]
[ROW][C]0.03[/C][C]363.32667380271[/C][C]0.562399986572121[/C][/ROW]
[ROW][C]0.04[/C][C]363.6980678152[/C][C]0.500405131310697[/C][/ROW]
[ROW][C]0.05[/C][C]363.979335267855[/C][C]0.510902125940708[/C][/ROW]
[ROW][C]0.06[/C][C]364.223604208397[/C][C]0.536346712085439[/C][/ROW]
[ROW][C]0.07[/C][C]364.455845180152[/C][C]0.574028873333768[/C][/ROW]
[ROW][C]0.08[/C][C]364.689369046214[/C][C]0.642294402550817[/C][/ROW]
[ROW][C]0.09[/C][C]364.936445092707[/C][C]0.757378212839724[/C][/ROW]
[ROW][C]0.1[/C][C]365.210682672414[/C][C]0.927406483994872[/C][/ROW]
[ROW][C]0.11[/C][C]365.525192161771[/C][C]1.14474546296744[/C][/ROW]
[ROW][C]0.12[/C][C]365.889374177314[/C][C]1.38971217257854[/C][/ROW]
[ROW][C]0.13[/C][C]366.305813627464[/C][C]1.62713600102723[/C][/ROW]
[ROW][C]0.14[/C][C]366.768319826937[/C][C]1.81791903198493[/C][/ROW]
[ROW][C]0.15[/C][C]367.261956277396[/C][C]1.92788425615708[/C][/ROW]
[ROW][C]0.16[/C][C]367.765362903708[/C][C]1.93759152978699[/C][/ROW]
[ROW][C]0.17[/C][C]368.254846263976[/C][C]1.84758387693341[/C][/ROW]
[ROW][C]0.18[/C][C]368.709042252652[/C][C]1.67714279142613[/C][/ROW]
[ROW][C]0.19[/C][C]369.112806860354[/C][C]1.45853206020838[/C][/ROW]
[ROW][C]0.2[/C][C]369.459390435524[/C][C]1.22848742720008[/C][/ROW]
[ROW][C]0.21[/C][C]369.750632241813[/C][C]1.02320435158832[/C][/ROW]
[ROW][C]0.22[/C][C]369.995530056848[/C][C]0.870456904878841[/C][/ROW]
[ROW][C]0.23[/C][C]370.20786982453[/C][C]0.791272076100431[/C][/ROW]
[ROW][C]0.24[/C][C]370.403611257108[/C][C]0.792841532412529[/C][/ROW]
[ROW][C]0.25[/C][C]370.598528605138[/C][C]0.867345725673778[/C][/ROW]
[ROW][C]0.26[/C][C]370.806355832665[/C][C]0.996498747893706[/C][/ROW]
[ROW][C]0.27[/C][C]371.037495186901[/C][C]1.15934440806739[/C][/ROW]
[ROW][C]0.28[/C][C]371.298256443732[/C][C]1.33496652746602[/C][/ROW]
[ROW][C]0.29[/C][C]371.590578677788[/C][C]1.50321895620789[/C][/ROW]
[ROW][C]0.3[/C][C]371.912199169314[/C][C]1.64562978036867[/C][/ROW]
[ROW][C]0.31[/C][C]372.25723432695[/C][C]1.74806397776388[/C][/ROW]
[ROW][C]0.32[/C][C]372.617109513671[/C][C]1.80053607876285[/C][/ROW]
[ROW][C]0.33[/C][C]372.981727688838[/C][C]1.79918779694124[/C][/ROW]
[ROW][C]0.34[/C][C]373.340723753493[/C][C]1.74636237645223[/C][/ROW]
[ROW][C]0.35[/C][C]373.684634539106[/C][C]1.64964258582348[/C][/ROW]
[ROW][C]0.36[/C][C]374.00583421829[/C][C]1.51977129163283[/C][/ROW]
[ROW][C]0.37[/C][C]374.299137393785[/C][C]1.36998053525126[/C][/ROW]
[ROW][C]0.38[/C][C]374.562041663723[/C][C]1.21424693311529[/C][/ROW]
[ROW][C]0.39[/C][C]374.794648416151[/C][C]1.06525016981687[/C][/ROW]
[ROW][C]0.4[/C][C]374.999348784681[/C][C]0.932608526892164[/C][/ROW]
[ROW][C]0.41[/C][C]375.180383136246[/C][C]0.825799113304678[/C][/ROW]
[ROW][C]0.42[/C][C]375.343378195066[/C][C]0.750441223659541[/C][/ROW]
[ROW][C]0.43[/C][C]375.49494333316[/C][C]0.712263186022439[/C][/ROW]
[ROW][C]0.44[/C][C]375.64237617325[/C][C]0.714041122642162[/C][/ROW]
[ROW][C]0.45[/C][C]375.793495174098[/C][C]0.758451672384773[/C][/ROW]
[ROW][C]0.46[/C][C]375.956587257599[/C][C]0.847168259260808[/C][/ROW]
[ROW][C]0.47[/C][C]376.14043238492[/C][C]0.982885760384785[/C][/ROW]
[ROW][C]0.48[/C][C]376.354343776716[/C][C]1.16675396746421[/C][/ROW]
[ROW][C]0.49[/C][C]376.608143376298[/C][C]1.40204196541369[/C][/ROW]
[ROW][C]0.5[/C][C]376.911981859063[/C][C]1.69111045610562[/C][/ROW]
[ROW][C]0.51[/C][C]377.275918793667[/C][C]2.03203337831883[/C][/ROW]
[ROW][C]0.52[/C][C]377.709209424098[/C][C]2.41900638884561[/C][/ROW]
[ROW][C]0.53[/C][C]378.219303441159[/C][C]2.84011909250541[/C][/ROW]
[ROW][C]0.54[/C][C]378.810642559907[/C][C]3.27672384447930[/C][/ROW]
[ROW][C]0.55[/C][C]379.483431312311[/C][C]3.70206893739686[/C][/ROW]
[ROW][C]0.56[/C][C]380.232624205436[/C][C]4.08618330138387[/C][/ROW]
[ROW][C]0.57[/C][C]381.047395523591[/C][C]4.39718326344567[/C][/ROW]
[ROW][C]0.58[/C][C]381.911316555616[/C][C]4.6063514734652[/C][/ROW]
[ROW][C]0.59[/C][C]382.803356395049[/C][C]4.69324170793473[/C][/ROW]
[ROW][C]0.6[/C][C]383.699664864744[/C][C]4.64656933274106[/C][/ROW]
[ROW][C]0.61[/C][C]384.575925553728[/C][C]4.47103320984841[/C][/ROW]
[ROW][C]0.62[/C][C]385.409927517047[/C][C]4.18316890655786[/C][/ROW]
[ROW][C]0.63[/C][C]386.183934576085[/C][C]3.8116898091071[/C][/ROW]
[ROW][C]0.64[/C][C]386.886452274931[/C][C]3.39274797857113[/C][/ROW]
[ROW][C]0.65[/C][C]387.513100874028[/C][C]2.96546241435975[/C][/ROW]
[ROW][C]0.66[/C][C]388.066471835998[/C][C]2.56554596430379[/C][/ROW]
[ROW][C]0.67[/C][C]388.555034440399[/C][C]2.22368928058874[/C][/ROW]
[ROW][C]0.68[/C][C]388.991326006505[/C][C]1.95950014821501[/C][/ROW]
[ROW][C]0.69[/C][C]389.389770800061[/C][C]1.78017737211912[/C][/ROW]
[ROW][C]0.7[/C][C]389.764512461679[/C][C]1.67899200258133[/C][/ROW]
[ROW][C]0.71[/C][C]390.127613541489[/C][C]1.63859527302394[/C][/ROW]
[ROW][C]0.72[/C][C]390.487888393330[/C][C]1.63454741607273[/C][/ROW]
[ROW][C]0.73[/C][C]390.850516051308[/C][C]1.64471738472795[/C][/ROW]
[ROW][C]0.74[/C][C]391.217454967293[/C][C]1.65198725145633[/C][/ROW]
[ROW][C]0.75[/C][C]391.588576809446[/C][C]1.64680286677894[/C][/ROW]
[ROW][C]0.76[/C][C]391.963368657868[/C][C]1.62934578254661[/C][/ROW]
[ROW][C]0.77[/C][C]392.343022345312[/C][C]1.60856286595068[/C][/ROW]
[ROW][C]0.78[/C][C]392.732713863795[/C][C]1.60463516143174[/C][/ROW]
[ROW][C]0.79[/C][C]393.1438304585[/C][C]1.64676962957742[/C][/ROW]
[ROW][C]0.8[/C][C]393.595780280251[/C][C]1.77290055356245[/C][/ROW]
[ROW][C]0.81[/C][C]394.116806139745[/C][C]2.02198268513806[/C][/ROW]
[ROW][C]0.82[/C][C]394.742991119219[/C][C]2.42214046863179[/C][/ROW]
[ROW][C]0.83[/C][C]395.514569308734[/C][C]2.97713361570588[/C][/ROW]
[ROW][C]0.84[/C][C]396.468988797339[/C][C]3.65639862710843[/C][/ROW]
[ROW][C]0.85[/C][C]397.631099687519[/C][C]4.39004360253541[/C][/ROW]
[ROW][C]0.86[/C][C]399.002277783658[/C][C]5.07178915750084[/C][/ROW]
[ROW][C]0.87[/C][C]400.551758163270[/C][C]5.57405671871144[/C][/ROW]
[ROW][C]0.88[/C][C]402.214116502576[/C][C]5.77865468075449[/C][/ROW]
[ROW][C]0.89[/C][C]403.895901199982[/C][C]5.61187003640791[/C][/ROW]
[ROW][C]0.9[/C][C]405.491663414113[/C][C]5.07367103704723[/C][/ROW]
[ROW][C]0.91[/C][C]406.905813810548[/C][C]4.24668469691429[/C][/ROW]
[ROW][C]0.92[/C][C]408.073503303747[/C][C]3.27498394663510[/C][/ROW]
[ROW][C]0.93[/C][C]408.972937576095[/C][C]2.32230009981083[/C][/ROW]
[ROW][C]0.94[/C][C]409.624264974969[/C][C]1.5213653157943[/C][/ROW]
[ROW][C]0.95[/C][C]410.075880706762[/C][C]0.93851501912328[/C][/ROW]
[ROW][C]0.96[/C][C]410.385166697356[/C][C]0.565493510461751[/C][/ROW]
[ROW][C]0.97[/C][C]410.603171969744[/C][C]0.344102953628819[/C][/ROW]
[ROW][C]0.98[/C][C]410.767274919883[/C][C]0.218420576318314[/C][/ROW]
[ROW][C]0.99[/C][C]410.894288065812[/C][C]0.17179765982415[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82523&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82523&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
0.01362.1159198840231.22099654087645
0.02362.7933648372110.800355848597695
0.03363.326673802710.562399986572121
0.04363.69806781520.500405131310697
0.05363.9793352678550.510902125940708
0.06364.2236042083970.536346712085439
0.07364.4558451801520.574028873333768
0.08364.6893690462140.642294402550817
0.09364.9364450927070.757378212839724
0.1365.2106826724140.927406483994872
0.11365.5251921617711.14474546296744
0.12365.8893741773141.38971217257854
0.13366.3058136274641.62713600102723
0.14366.7683198269371.81791903198493
0.15367.2619562773961.92788425615708
0.16367.7653629037081.93759152978699
0.17368.2548462639761.84758387693341
0.18368.7090422526521.67714279142613
0.19369.1128068603541.45853206020838
0.2369.4593904355241.22848742720008
0.21369.7506322418131.02320435158832
0.22369.9955300568480.870456904878841
0.23370.207869824530.791272076100431
0.24370.4036112571080.792841532412529
0.25370.5985286051380.867345725673778
0.26370.8063558326650.996498747893706
0.27371.0374951869011.15934440806739
0.28371.2982564437321.33496652746602
0.29371.5905786777881.50321895620789
0.3371.9121991693141.64562978036867
0.31372.257234326951.74806397776388
0.32372.6171095136711.80053607876285
0.33372.9817276888381.79918779694124
0.34373.3407237534931.74636237645223
0.35373.6846345391061.64964258582348
0.36374.005834218291.51977129163283
0.37374.2991373937851.36998053525126
0.38374.5620416637231.21424693311529
0.39374.7946484161511.06525016981687
0.4374.9993487846810.932608526892164
0.41375.1803831362460.825799113304678
0.42375.3433781950660.750441223659541
0.43375.494943333160.712263186022439
0.44375.642376173250.714041122642162
0.45375.7934951740980.758451672384773
0.46375.9565872575990.847168259260808
0.47376.140432384920.982885760384785
0.48376.3543437767161.16675396746421
0.49376.6081433762981.40204196541369
0.5376.9119818590631.69111045610562
0.51377.2759187936672.03203337831883
0.52377.7092094240982.41900638884561
0.53378.2193034411592.84011909250541
0.54378.8106425599073.27672384447930
0.55379.4834313123113.70206893739686
0.56380.2326242054364.08618330138387
0.57381.0473955235914.39718326344567
0.58381.9113165556164.6063514734652
0.59382.8033563950494.69324170793473
0.6383.6996648647444.64656933274106
0.61384.5759255537284.47103320984841
0.62385.4099275170474.18316890655786
0.63386.1839345760853.8116898091071
0.64386.8864522749313.39274797857113
0.65387.5131008740282.96546241435975
0.66388.0664718359982.56554596430379
0.67388.5550344403992.22368928058874
0.68388.9913260065051.95950014821501
0.69389.3897708000611.78017737211912
0.7389.7645124616791.67899200258133
0.71390.1276135414891.63859527302394
0.72390.4878883933301.63454741607273
0.73390.8505160513081.64471738472795
0.74391.2174549672931.65198725145633
0.75391.5885768094461.64680286677894
0.76391.9633686578681.62934578254661
0.77392.3430223453121.60856286595068
0.78392.7327138637951.60463516143174
0.79393.14383045851.64676962957742
0.8393.5957802802511.77290055356245
0.81394.1168061397452.02198268513806
0.82394.7429911192192.42214046863179
0.83395.5145693087342.97713361570588
0.84396.4689887973393.65639862710843
0.85397.6310996875194.39004360253541
0.86399.0022777836585.07178915750084
0.87400.5517581632705.57405671871144
0.88402.2141165025765.77865468075449
0.89403.8959011999825.61187003640791
0.9405.4916634141135.07367103704723
0.91406.9058138105484.24668469691429
0.92408.0735033037473.27498394663510
0.93408.9729375760952.32230009981083
0.94409.6242649749691.5213653157943
0.95410.0758807067620.93851501912328
0.96410.3851666973560.565493510461751
0.97410.6031719697440.344102953628819
0.98410.7672749198830.218420576318314
0.99410.8942880658120.17179765982415


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')