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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 02 Mar 2008 12:48:54 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Mar/02/t1204487501mj0h1wzu8ztbxn3.htm/, Retrieved Mon, 06 May 2024 20:16:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9690, Retrieved Mon, 06 May 2024 20:16:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact155

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 gemi...] [2008-03-02 19:48:54] [3b0a90e6bea50e83b08189298324fe13] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
14,32
14,67
14,8
14,8
14,8
14,8
14,8
14,8
14,8
14,8
14,8
14,8
14,8
15,56
15,56
15,56
15,56
15,56
15,56
15,56
15,56
15,56
15,56
15,56
15,56
16,8
16,8
16,8
16,8
16,8
16,8
16,8
16,8
16,8
16,8
16,8
16,8
17,43
17,43
17,43
17,43
17,43
17,43
17,43
17,43
17,43
17,43
17,43
17,43
18,61
18,61
18,61
18,61
18,61
18,61
18,61
18,61
18,61
18,61
18,61
18,61
20
20
20
20
20
20
20
20
20
20
20
20
20,61
20,61
20,61
20,61
20,61
20,61
20,61
20,61
20,61
20,61
20,61
20,61
19,47
19,47
19,47
19,47
19,47

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9690&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9690&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9690&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0114.44911767435980.262748885679775
0.0214.60428679262160.159811847138735
0.0314.70981861072270.083983708461436
0.0414.76380663636250.0393598822010098
0.0514.78766408219880.0176757814281462
0.0614.79854010658190.0137082591851134
0.0714.80647668333140.0252753493969443
0.0814.81760231644570.0494622223901146
0.0914.83648543113640.0867540233396173
0.114.86685996246930.135721075905468
0.1114.91126056632330.191103941659346
0.1214.97027834976110.244379331554265
0.1315.04207976582370.286071205169222
0.1415.12259172177570.308826623466826
0.1515.20640078476600.309824025306206
0.1615.28808379690870.291651969123688
0.1715.36352122713640.261482413190198
0.1815.43079127880870.229230341709355
0.1915.49043864410720.205680319345381
0.215.54513768188960.200344655071966
0.2115.59892805055420.217985885897301
0.2215.65625817682190.256492875404515
0.2315.72105172873680.309197244211802
0.2415.79595800610160.367811959713068
0.2515.88188998142190.423764974573504
0.2615.97790191055860.469090463313558
0.2716.08140678771480.497531027316958
0.2816.18867893539970.505619850465294
0.2916.29553529275750.493217910076765
0.316.39805484737140.463286797090512
0.3116.49319227340380.4212907246884
0.3216.57917271819700.374035194723703
0.3316.6556111453820.328456731108447
0.3416.72336468145690.290524298890732
0.3516.78418195547980.264259124414682
0.3616.84024688250470.250959998090961
0.3716.89372161709930.248925101124383
0.3816.94637797647380.254385258859364
0.3916.99937634889720.262937082241639
0.417.05321472346620.270772439427895
0.4117.10783542513670.275436434925136
0.4217.1628487163790.276043055557525
0.4317.21781396051940.273364148813634
0.4417.27251224050780.269614033792234
0.4517.32714944485500.268115120889898
0.4617.38244464395550.272387159948881
0.4717.43958238162940.285315666444085
0.4817.50003533153910.308005615389905
0.4917.56529084525660.339312369825376
0.517.63653631466010.376119106571446
0.5117.71436964663800.413992237235668
0.5217.79859958682870.448014951398345
0.5317.88818545096150.473572226906868
0.5417.98133916108400.4871382332797
0.5518.07577931278870.486886252685917
0.5618.16909434359030.473065819759758
0.5718.25914722350610.448067325423418
0.5818.34444341885850.416060101969618
0.5918.42438992484880.382456647059555
0.618.49939461246340.353072838142161
0.6118.57078703223590.333264505240758
0.6218.64057695575280.326659574931952
0.6318.71109771995060.334121171798439
0.6418.78460159632830.353527914609728
0.6518.86288019007900.380620039570828
0.6618.94697368471060.410210885261767
0.6719.03701123939060.437302798491999
0.6819.13219648019360.457574598694082
0.6919.23092393815850.467882100825924
0.719.33099142866070.466415718282552
0.7119.42986430773160.452703143218417
0.7219.52495079428090.427434205180028
0.7319.61385938247330.392293409263515
0.7419.69462349788880.34962425280497
0.7519.76588899810300.30236366504891
0.7619.82706371492030.253808600302603
0.7719.87842527764310.207495983077909
0.7819.92117628762730.167064826733711
0.7919.95742688092260.136302882715638
0.819.99007572107820.119175841536652
0.8120.02255515543170.118831357866930
0.8220.05841299809830.134939251929210
0.8320.10073447378460.162932995902034
0.8420.151471172270.195982460997595
0.8520.21082875475370.226168442103187
0.8620.27693265792410.245591599857708
0.8720.34598322650090.248087208396461
0.8820.41298639606630.231209246603418
0.8920.47292170401050.197289612594080
0.920.52198388937750.152904092598594
0.9120.5584450212080.106618191209463
0.9220.58281707130740.0661333252123103
0.9320.59730471212560.0359655304213771
0.9420.60485401109710.0168271703380262
0.9520.60823808559160.00659996975453661
0.9620.60950981649480.00209192739207741
0.9720.60989572612540.000501573234357741
0.9820.60998482085688.56344546464435e-05
0.9920.60999884955896.11674676046025e-06

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 14.4491176743598 & 0.262748885679775 \tabularnewline
0.02 & 14.6042867926216 & 0.159811847138735 \tabularnewline
0.03 & 14.7098186107227 & 0.083983708461436 \tabularnewline
0.04 & 14.7638066363625 & 0.0393598822010098 \tabularnewline
0.05 & 14.7876640821988 & 0.0176757814281462 \tabularnewline
0.06 & 14.7985401065819 & 0.0137082591851134 \tabularnewline
0.07 & 14.8064766833314 & 0.0252753493969443 \tabularnewline
0.08 & 14.8176023164457 & 0.0494622223901146 \tabularnewline
0.09 & 14.8364854311364 & 0.0867540233396173 \tabularnewline
0.1 & 14.8668599624693 & 0.135721075905468 \tabularnewline
0.11 & 14.9112605663233 & 0.191103941659346 \tabularnewline
0.12 & 14.9702783497611 & 0.244379331554265 \tabularnewline
0.13 & 15.0420797658237 & 0.286071205169222 \tabularnewline
0.14 & 15.1225917217757 & 0.308826623466826 \tabularnewline
0.15 & 15.2064007847660 & 0.309824025306206 \tabularnewline
0.16 & 15.2880837969087 & 0.291651969123688 \tabularnewline
0.17 & 15.3635212271364 & 0.261482413190198 \tabularnewline
0.18 & 15.4307912788087 & 0.229230341709355 \tabularnewline
0.19 & 15.4904386441072 & 0.205680319345381 \tabularnewline
0.2 & 15.5451376818896 & 0.200344655071966 \tabularnewline
0.21 & 15.5989280505542 & 0.217985885897301 \tabularnewline
0.22 & 15.6562581768219 & 0.256492875404515 \tabularnewline
0.23 & 15.7210517287368 & 0.309197244211802 \tabularnewline
0.24 & 15.7959580061016 & 0.367811959713068 \tabularnewline
0.25 & 15.8818899814219 & 0.423764974573504 \tabularnewline
0.26 & 15.9779019105586 & 0.469090463313558 \tabularnewline
0.27 & 16.0814067877148 & 0.497531027316958 \tabularnewline
0.28 & 16.1886789353997 & 0.505619850465294 \tabularnewline
0.29 & 16.2955352927575 & 0.493217910076765 \tabularnewline
0.3 & 16.3980548473714 & 0.463286797090512 \tabularnewline
0.31 & 16.4931922734038 & 0.4212907246884 \tabularnewline
0.32 & 16.5791727181970 & 0.374035194723703 \tabularnewline
0.33 & 16.655611145382 & 0.328456731108447 \tabularnewline
0.34 & 16.7233646814569 & 0.290524298890732 \tabularnewline
0.35 & 16.7841819554798 & 0.264259124414682 \tabularnewline
0.36 & 16.8402468825047 & 0.250959998090961 \tabularnewline
0.37 & 16.8937216170993 & 0.248925101124383 \tabularnewline
0.38 & 16.9463779764738 & 0.254385258859364 \tabularnewline
0.39 & 16.9993763488972 & 0.262937082241639 \tabularnewline
0.4 & 17.0532147234662 & 0.270772439427895 \tabularnewline
0.41 & 17.1078354251367 & 0.275436434925136 \tabularnewline
0.42 & 17.162848716379 & 0.276043055557525 \tabularnewline
0.43 & 17.2178139605194 & 0.273364148813634 \tabularnewline
0.44 & 17.2725122405078 & 0.269614033792234 \tabularnewline
0.45 & 17.3271494448550 & 0.268115120889898 \tabularnewline
0.46 & 17.3824446439555 & 0.272387159948881 \tabularnewline
0.47 & 17.4395823816294 & 0.285315666444085 \tabularnewline
0.48 & 17.5000353315391 & 0.308005615389905 \tabularnewline
0.49 & 17.5652908452566 & 0.339312369825376 \tabularnewline
0.5 & 17.6365363146601 & 0.376119106571446 \tabularnewline
0.51 & 17.7143696466380 & 0.413992237235668 \tabularnewline
0.52 & 17.7985995868287 & 0.448014951398345 \tabularnewline
0.53 & 17.8881854509615 & 0.473572226906868 \tabularnewline
0.54 & 17.9813391610840 & 0.4871382332797 \tabularnewline
0.55 & 18.0757793127887 & 0.486886252685917 \tabularnewline
0.56 & 18.1690943435903 & 0.473065819759758 \tabularnewline
0.57 & 18.2591472235061 & 0.448067325423418 \tabularnewline
0.58 & 18.3444434188585 & 0.416060101969618 \tabularnewline
0.59 & 18.4243899248488 & 0.382456647059555 \tabularnewline
0.6 & 18.4993946124634 & 0.353072838142161 \tabularnewline
0.61 & 18.5707870322359 & 0.333264505240758 \tabularnewline
0.62 & 18.6405769557528 & 0.326659574931952 \tabularnewline
0.63 & 18.7110977199506 & 0.334121171798439 \tabularnewline
0.64 & 18.7846015963283 & 0.353527914609728 \tabularnewline
0.65 & 18.8628801900790 & 0.380620039570828 \tabularnewline
0.66 & 18.9469736847106 & 0.410210885261767 \tabularnewline
0.67 & 19.0370112393906 & 0.437302798491999 \tabularnewline
0.68 & 19.1321964801936 & 0.457574598694082 \tabularnewline
0.69 & 19.2309239381585 & 0.467882100825924 \tabularnewline
0.7 & 19.3309914286607 & 0.466415718282552 \tabularnewline
0.71 & 19.4298643077316 & 0.452703143218417 \tabularnewline
0.72 & 19.5249507942809 & 0.427434205180028 \tabularnewline
0.73 & 19.6138593824733 & 0.392293409263515 \tabularnewline
0.74 & 19.6946234978888 & 0.34962425280497 \tabularnewline
0.75 & 19.7658889981030 & 0.30236366504891 \tabularnewline
0.76 & 19.8270637149203 & 0.253808600302603 \tabularnewline
0.77 & 19.8784252776431 & 0.207495983077909 \tabularnewline
0.78 & 19.9211762876273 & 0.167064826733711 \tabularnewline
0.79 & 19.9574268809226 & 0.136302882715638 \tabularnewline
0.8 & 19.9900757210782 & 0.119175841536652 \tabularnewline
0.81 & 20.0225551554317 & 0.118831357866930 \tabularnewline
0.82 & 20.0584129980983 & 0.134939251929210 \tabularnewline
0.83 & 20.1007344737846 & 0.162932995902034 \tabularnewline
0.84 & 20.15147117227 & 0.195982460997595 \tabularnewline
0.85 & 20.2108287547537 & 0.226168442103187 \tabularnewline
0.86 & 20.2769326579241 & 0.245591599857708 \tabularnewline
0.87 & 20.3459832265009 & 0.248087208396461 \tabularnewline
0.88 & 20.4129863960663 & 0.231209246603418 \tabularnewline
0.89 & 20.4729217040105 & 0.197289612594080 \tabularnewline
0.9 & 20.5219838893775 & 0.152904092598594 \tabularnewline
0.91 & 20.558445021208 & 0.106618191209463 \tabularnewline
0.92 & 20.5828170713074 & 0.0661333252123103 \tabularnewline
0.93 & 20.5973047121256 & 0.0359655304213771 \tabularnewline
0.94 & 20.6048540110971 & 0.0168271703380262 \tabularnewline
0.95 & 20.6082380855916 & 0.00659996975453661 \tabularnewline
0.96 & 20.6095098164948 & 0.00209192739207741 \tabularnewline
0.97 & 20.6098957261254 & 0.000501573234357741 \tabularnewline
0.98 & 20.6099848208568 & 8.56344546464435e-05 \tabularnewline
0.99 & 20.6099988495589 & 6.11674676046025e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9690&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]14.4491176743598[/C][C]0.262748885679775[/C][/ROW]
[ROW][C]0.02[/C][C]14.6042867926216[/C][C]0.159811847138735[/C][/ROW]
[ROW][C]0.03[/C][C]14.7098186107227[/C][C]0.083983708461436[/C][/ROW]
[ROW][C]0.04[/C][C]14.7638066363625[/C][C]0.0393598822010098[/C][/ROW]
[ROW][C]0.05[/C][C]14.7876640821988[/C][C]0.0176757814281462[/C][/ROW]
[ROW][C]0.06[/C][C]14.7985401065819[/C][C]0.0137082591851134[/C][/ROW]
[ROW][C]0.07[/C][C]14.8064766833314[/C][C]0.0252753493969443[/C][/ROW]
[ROW][C]0.08[/C][C]14.8176023164457[/C][C]0.0494622223901146[/C][/ROW]
[ROW][C]0.09[/C][C]14.8364854311364[/C][C]0.0867540233396173[/C][/ROW]
[ROW][C]0.1[/C][C]14.8668599624693[/C][C]0.135721075905468[/C][/ROW]
[ROW][C]0.11[/C][C]14.9112605663233[/C][C]0.191103941659346[/C][/ROW]
[ROW][C]0.12[/C][C]14.9702783497611[/C][C]0.244379331554265[/C][/ROW]
[ROW][C]0.13[/C][C]15.0420797658237[/C][C]0.286071205169222[/C][/ROW]
[ROW][C]0.14[/C][C]15.1225917217757[/C][C]0.308826623466826[/C][/ROW]
[ROW][C]0.15[/C][C]15.2064007847660[/C][C]0.309824025306206[/C][/ROW]
[ROW][C]0.16[/C][C]15.2880837969087[/C][C]0.291651969123688[/C][/ROW]
[ROW][C]0.17[/C][C]15.3635212271364[/C][C]0.261482413190198[/C][/ROW]
[ROW][C]0.18[/C][C]15.4307912788087[/C][C]0.229230341709355[/C][/ROW]
[ROW][C]0.19[/C][C]15.4904386441072[/C][C]0.205680319345381[/C][/ROW]
[ROW][C]0.2[/C][C]15.5451376818896[/C][C]0.200344655071966[/C][/ROW]
[ROW][C]0.21[/C][C]15.5989280505542[/C][C]0.217985885897301[/C][/ROW]
[ROW][C]0.22[/C][C]15.6562581768219[/C][C]0.256492875404515[/C][/ROW]
[ROW][C]0.23[/C][C]15.7210517287368[/C][C]0.309197244211802[/C][/ROW]
[ROW][C]0.24[/C][C]15.7959580061016[/C][C]0.367811959713068[/C][/ROW]
[ROW][C]0.25[/C][C]15.8818899814219[/C][C]0.423764974573504[/C][/ROW]
[ROW][C]0.26[/C][C]15.9779019105586[/C][C]0.469090463313558[/C][/ROW]
[ROW][C]0.27[/C][C]16.0814067877148[/C][C]0.497531027316958[/C][/ROW]
[ROW][C]0.28[/C][C]16.1886789353997[/C][C]0.505619850465294[/C][/ROW]
[ROW][C]0.29[/C][C]16.2955352927575[/C][C]0.493217910076765[/C][/ROW]
[ROW][C]0.3[/C][C]16.3980548473714[/C][C]0.463286797090512[/C][/ROW]
[ROW][C]0.31[/C][C]16.4931922734038[/C][C]0.4212907246884[/C][/ROW]
[ROW][C]0.32[/C][C]16.5791727181970[/C][C]0.374035194723703[/C][/ROW]
[ROW][C]0.33[/C][C]16.655611145382[/C][C]0.328456731108447[/C][/ROW]
[ROW][C]0.34[/C][C]16.7233646814569[/C][C]0.290524298890732[/C][/ROW]
[ROW][C]0.35[/C][C]16.7841819554798[/C][C]0.264259124414682[/C][/ROW]
[ROW][C]0.36[/C][C]16.8402468825047[/C][C]0.250959998090961[/C][/ROW]
[ROW][C]0.37[/C][C]16.8937216170993[/C][C]0.248925101124383[/C][/ROW]
[ROW][C]0.38[/C][C]16.9463779764738[/C][C]0.254385258859364[/C][/ROW]
[ROW][C]0.39[/C][C]16.9993763488972[/C][C]0.262937082241639[/C][/ROW]
[ROW][C]0.4[/C][C]17.0532147234662[/C][C]0.270772439427895[/C][/ROW]
[ROW][C]0.41[/C][C]17.1078354251367[/C][C]0.275436434925136[/C][/ROW]
[ROW][C]0.42[/C][C]17.162848716379[/C][C]0.276043055557525[/C][/ROW]
[ROW][C]0.43[/C][C]17.2178139605194[/C][C]0.273364148813634[/C][/ROW]
[ROW][C]0.44[/C][C]17.2725122405078[/C][C]0.269614033792234[/C][/ROW]
[ROW][C]0.45[/C][C]17.3271494448550[/C][C]0.268115120889898[/C][/ROW]
[ROW][C]0.46[/C][C]17.3824446439555[/C][C]0.272387159948881[/C][/ROW]
[ROW][C]0.47[/C][C]17.4395823816294[/C][C]0.285315666444085[/C][/ROW]
[ROW][C]0.48[/C][C]17.5000353315391[/C][C]0.308005615389905[/C][/ROW]
[ROW][C]0.49[/C][C]17.5652908452566[/C][C]0.339312369825376[/C][/ROW]
[ROW][C]0.5[/C][C]17.6365363146601[/C][C]0.376119106571446[/C][/ROW]
[ROW][C]0.51[/C][C]17.7143696466380[/C][C]0.413992237235668[/C][/ROW]
[ROW][C]0.52[/C][C]17.7985995868287[/C][C]0.448014951398345[/C][/ROW]
[ROW][C]0.53[/C][C]17.8881854509615[/C][C]0.473572226906868[/C][/ROW]
[ROW][C]0.54[/C][C]17.9813391610840[/C][C]0.4871382332797[/C][/ROW]
[ROW][C]0.55[/C][C]18.0757793127887[/C][C]0.486886252685917[/C][/ROW]
[ROW][C]0.56[/C][C]18.1690943435903[/C][C]0.473065819759758[/C][/ROW]
[ROW][C]0.57[/C][C]18.2591472235061[/C][C]0.448067325423418[/C][/ROW]
[ROW][C]0.58[/C][C]18.3444434188585[/C][C]0.416060101969618[/C][/ROW]
[ROW][C]0.59[/C][C]18.4243899248488[/C][C]0.382456647059555[/C][/ROW]
[ROW][C]0.6[/C][C]18.4993946124634[/C][C]0.353072838142161[/C][/ROW]
[ROW][C]0.61[/C][C]18.5707870322359[/C][C]0.333264505240758[/C][/ROW]
[ROW][C]0.62[/C][C]18.6405769557528[/C][C]0.326659574931952[/C][/ROW]
[ROW][C]0.63[/C][C]18.7110977199506[/C][C]0.334121171798439[/C][/ROW]
[ROW][C]0.64[/C][C]18.7846015963283[/C][C]0.353527914609728[/C][/ROW]
[ROW][C]0.65[/C][C]18.8628801900790[/C][C]0.380620039570828[/C][/ROW]
[ROW][C]0.66[/C][C]18.9469736847106[/C][C]0.410210885261767[/C][/ROW]
[ROW][C]0.67[/C][C]19.0370112393906[/C][C]0.437302798491999[/C][/ROW]
[ROW][C]0.68[/C][C]19.1321964801936[/C][C]0.457574598694082[/C][/ROW]
[ROW][C]0.69[/C][C]19.2309239381585[/C][C]0.467882100825924[/C][/ROW]
[ROW][C]0.7[/C][C]19.3309914286607[/C][C]0.466415718282552[/C][/ROW]
[ROW][C]0.71[/C][C]19.4298643077316[/C][C]0.452703143218417[/C][/ROW]
[ROW][C]0.72[/C][C]19.5249507942809[/C][C]0.427434205180028[/C][/ROW]
[ROW][C]0.73[/C][C]19.6138593824733[/C][C]0.392293409263515[/C][/ROW]
[ROW][C]0.74[/C][C]19.6946234978888[/C][C]0.34962425280497[/C][/ROW]
[ROW][C]0.75[/C][C]19.7658889981030[/C][C]0.30236366504891[/C][/ROW]
[ROW][C]0.76[/C][C]19.8270637149203[/C][C]0.253808600302603[/C][/ROW]
[ROW][C]0.77[/C][C]19.8784252776431[/C][C]0.207495983077909[/C][/ROW]
[ROW][C]0.78[/C][C]19.9211762876273[/C][C]0.167064826733711[/C][/ROW]
[ROW][C]0.79[/C][C]19.9574268809226[/C][C]0.136302882715638[/C][/ROW]
[ROW][C]0.8[/C][C]19.9900757210782[/C][C]0.119175841536652[/C][/ROW]
[ROW][C]0.81[/C][C]20.0225551554317[/C][C]0.118831357866930[/C][/ROW]
[ROW][C]0.82[/C][C]20.0584129980983[/C][C]0.134939251929210[/C][/ROW]
[ROW][C]0.83[/C][C]20.1007344737846[/C][C]0.162932995902034[/C][/ROW]
[ROW][C]0.84[/C][C]20.15147117227[/C][C]0.195982460997595[/C][/ROW]
[ROW][C]0.85[/C][C]20.2108287547537[/C][C]0.226168442103187[/C][/ROW]
[ROW][C]0.86[/C][C]20.2769326579241[/C][C]0.245591599857708[/C][/ROW]
[ROW][C]0.87[/C][C]20.3459832265009[/C][C]0.248087208396461[/C][/ROW]
[ROW][C]0.88[/C][C]20.4129863960663[/C][C]0.231209246603418[/C][/ROW]
[ROW][C]0.89[/C][C]20.4729217040105[/C][C]0.197289612594080[/C][/ROW]
[ROW][C]0.9[/C][C]20.5219838893775[/C][C]0.152904092598594[/C][/ROW]
[ROW][C]0.91[/C][C]20.558445021208[/C][C]0.106618191209463[/C][/ROW]
[ROW][C]0.92[/C][C]20.5828170713074[/C][C]0.0661333252123103[/C][/ROW]
[ROW][C]0.93[/C][C]20.5973047121256[/C][C]0.0359655304213771[/C][/ROW]
[ROW][C]0.94[/C][C]20.6048540110971[/C][C]0.0168271703380262[/C][/ROW]
[ROW][C]0.95[/C][C]20.6082380855916[/C][C]0.00659996975453661[/C][/ROW]
[ROW][C]0.96[/C][C]20.6095098164948[/C][C]0.00209192739207741[/C][/ROW]
[ROW][C]0.97[/C][C]20.6098957261254[/C][C]0.000501573234357741[/C][/ROW]
[ROW][C]0.98[/C][C]20.6099848208568[/C][C]8.56344546464435e-05[/C][/ROW]
[ROW][C]0.99[/C][C]20.6099988495589[/C][C]6.11674676046025e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9690&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9690&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
0.0114.44911767435980.262748885679775
0.0214.60428679262160.159811847138735
0.0314.70981861072270.083983708461436
0.0414.76380663636250.0393598822010098
0.0514.78766408219880.0176757814281462
0.0614.79854010658190.0137082591851134
0.0714.80647668333140.0252753493969443
0.0814.81760231644570.0494622223901146
0.0914.83648543113640.0867540233396173
0.114.86685996246930.135721075905468
0.1114.91126056632330.191103941659346
0.1214.97027834976110.244379331554265
0.1315.04207976582370.286071205169222
0.1415.12259172177570.308826623466826
0.1515.20640078476600.309824025306206
0.1615.28808379690870.291651969123688
0.1715.36352122713640.261482413190198
0.1815.43079127880870.229230341709355
0.1915.49043864410720.205680319345381
0.215.54513768188960.200344655071966
0.2115.59892805055420.217985885897301
0.2215.65625817682190.256492875404515
0.2315.72105172873680.309197244211802
0.2415.79595800610160.367811959713068
0.2515.88188998142190.423764974573504
0.2615.97790191055860.469090463313558
0.2716.08140678771480.497531027316958
0.2816.18867893539970.505619850465294
0.2916.29553529275750.493217910076765
0.316.39805484737140.463286797090512
0.3116.49319227340380.4212907246884
0.3216.57917271819700.374035194723703
0.3316.6556111453820.328456731108447
0.3416.72336468145690.290524298890732
0.3516.78418195547980.264259124414682
0.3616.84024688250470.250959998090961
0.3716.89372161709930.248925101124383
0.3816.94637797647380.254385258859364
0.3916.99937634889720.262937082241639
0.417.05321472346620.270772439427895
0.4117.10783542513670.275436434925136
0.4217.1628487163790.276043055557525
0.4317.21781396051940.273364148813634
0.4417.27251224050780.269614033792234
0.4517.32714944485500.268115120889898
0.4617.38244464395550.272387159948881
0.4717.43958238162940.285315666444085
0.4817.50003533153910.308005615389905
0.4917.56529084525660.339312369825376
0.517.63653631466010.376119106571446
0.5117.71436964663800.413992237235668
0.5217.79859958682870.448014951398345
0.5317.88818545096150.473572226906868
0.5417.98133916108400.4871382332797
0.5518.07577931278870.486886252685917
0.5618.16909434359030.473065819759758
0.5718.25914722350610.448067325423418
0.5818.34444341885850.416060101969618
0.5918.42438992484880.382456647059555
0.618.49939461246340.353072838142161
0.6118.57078703223590.333264505240758
0.6218.64057695575280.326659574931952
0.6318.71109771995060.334121171798439
0.6418.78460159632830.353527914609728
0.6518.86288019007900.380620039570828
0.6618.94697368471060.410210885261767
0.6719.03701123939060.437302798491999
0.6819.13219648019360.457574598694082
0.6919.23092393815850.467882100825924
0.719.33099142866070.466415718282552
0.7119.42986430773160.452703143218417
0.7219.52495079428090.427434205180028
0.7319.61385938247330.392293409263515
0.7419.69462349788880.34962425280497
0.7519.76588899810300.30236366504891
0.7619.82706371492030.253808600302603
0.7719.87842527764310.207495983077909
0.7819.92117628762730.167064826733711
0.7919.95742688092260.136302882715638
0.819.99007572107820.119175841536652
0.8120.02255515543170.118831357866930
0.8220.05841299809830.134939251929210
0.8320.10073447378460.162932995902034
0.8420.151471172270.195982460997595
0.8520.21082875475370.226168442103187
0.8620.27693265792410.245591599857708
0.8720.34598322650090.248087208396461
0.8820.41298639606630.231209246603418
0.8920.47292170401050.197289612594080
0.920.52198388937750.152904092598594
0.9120.5584450212080.106618191209463
0.9220.58281707130740.0661333252123103
0.9320.59730471212560.0359655304213771
0.9420.60485401109710.0168271703380262
0.9520.60823808559160.00659996975453661
0.9620.60950981649480.00209192739207741
0.9720.60989572612540.000501573234357741
0.9820.60998482085688.56344546464435e-05
0.9920.60999884955896.11674676046025e-06


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')