FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 27 Oct 2008 13:28:41 -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/2008/Oct/27/t1225135776rtsdps5dpqcy8r7.htm/, Retrieved Tue, 28 May 2024 16:25:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19468, Retrieved Tue, 28 May 2024 16:25:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact156

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
F   PD    [Harrell-Davis Quantiles] [Harrell – Davis Q...] [2008-10-27 19:28:41] [db9a5fd0f9c3e1245d8075d8bb09236d] [Current]
- R  D      [Harrell-Davis Quantiles] [Q9] [2008-11-03 19:08:59] [d134696a922d84037f02d49ded84b0bd]
-   P         [Harrell-Davis Quantiles] [Q10] [2008-11-03 19:11:41] [d134696a922d84037f02d49ded84b0bd]
Feedback Forum
2008-11-03 19:12:45 [Stijn Van de Velde] [reply] 
Ik heb in de R code nu 'x <- x-14095.6066666667' toegevoegd en als step-size 0.005 genomen.
link: http://www.freestatistics.org/blog/date/2008/Nov/03/t1225739520xj4mrdpgsr6cht1.htm

We zien dan dat bij een betrouwbaarheids interval van 95% de grenzen van de random component -3898.98651647418 en 4064.31030617046 zijn.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9097,4
12639,8
13040,1
11687,3
11191,7
11391,9
11793,1
13933,2
12778,1
11810,3
13698,4
11956,6
10723,8
13938,9
13979,8
13807,4
12973,9
12509,8
12934,1
14908,3
13772,1
13012,6
14049,9
11816,5
11593,2
14466,2
13615,9
14733,9
13880,7
13527,5
13584
16170,2
13260,6
14741,9
15486,5
13154,5
12621,2
15031,6
15452,4
15428
13105,9
14716,8
14180
16202,2
14392,4
15140,6
15960,1
14351,3
13230,2
15202,1
17157,3
16159,1
13405,7
17224,7
17338,4
17370,6
18817,8
16593,2
17979,5
17015,2

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 4 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=19468&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]4 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=19468&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19468&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 time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.019452.63733380331363.18409520266
0.029948.754683343851044.72919029972
0.0310425.5529252555757.720659605528
0.0410804.4970593318551.014539944474
0.0511079.1883045443419.248842037101
0.0611274.016584502338.611254691244
0.0711416.1821488271289.109389996952
0.0811525.9698404089259.708007478303
0.0911616.5957663631246.069832209328
0.111696.5627097381246.954569369677
0.1111771.6104367503261.091465393438
0.1211845.7521134979285.571239145183
0.1311921.678479168315.943435133469
0.1412000.8839086237347.159722243744
0.1512083.7507750674374.557949902602
0.1612169.7045514804394.544835325468
0.1712257.4616412851404.97213980319
0.1812345.3374126135405.286107389021
0.1912431.5592786254396.314904680205
0.212514.5321661378379.896910601999
0.2112593.0219424544358.418461466482
0.2212666.2460459731334.326649167502
0.2312733.8811672937309.832263402588
0.2412796.0104518324286.718529577723
0.2512853.0363927858266.283047000963
0.2612905.5823500888249.356908046335
0.2712954.3987777574236.376666940507
0.2813000.2828993130227.440105163875
0.2913044.0147914476222.363311589198
0.313086.3093829162220.702400419328
0.3113127.7825086420221.872033628695
0.3213168.9291270312225.095073989217
0.3313210.1123014477229.580218819933
0.3413251.5619764154234.567516082654
0.3513293.3826705881239.339123455935
0.3613335.5689554384243.356447896412
0.3713378.0271444390246.194052765643
0.3813420.6011831489247.578090449926
0.3913463.100471538247.435680980269
0.413505.3273527912245.898127393146
0.4113547.1022674999243.136769416714
0.4213588.2850284215239.510485580951
0.4313628.7912102467235.403411339791
0.4413668.603159804231.297948706026
0.4513707.7755326146227.645521233025
0.4613746.4355185848224.925285961733
0.4713784.7780531161223.567795250271
0.4813823.0563813519223.901415990101
0.4913861.5684303893226.234050453086
0.513900.6396116341230.703738346515
0.5113940.6029492749237.242523030174
0.5213981.7777858648245.733208291653
0.5314024.4486787854255.806508087759
0.5414068.8463689631266.999910316600
0.5514115.1327718663278.808625935515
0.5614163.3917365233290.636506389722
0.5714213.6268207093301.942510612341
0.5814265.7665838654312.23674811971
0.5914319.6770081663321.185492056955
0.614375.1797683625328.561364222282
0.6114432.0743411883334.305595032543
0.6214490.1615136441338.508916084559
0.6314549.2658031799341.422906500357
0.6414609.2546531072343.365565374608
0.6514670.0529378528344.763651484698
0.6614731.6521483556346.006930681876
0.6714794.1144177487347.536631987126
0.6814857.5720773099349.696532648942
0.6914922.2235516302352.814478946097
0.714988.3260927003357.139342971998
0.7115056.1852802404362.87067480181
0.7215126.1407235939370.145711152199
0.7315198.5474261599378.998693198753
0.7415273.7531744955389.325819269216
0.7515352.0741383203400.845222235392
0.7615433.7731440740413.077473803142
0.7715519.0467634576425.39542746715
0.7815608.0270223082437.138829362102
0.7915700.7999464754447.793153321546
0.815797.4360579871457.127316082855
0.8115898.0187936406465.298369330809
0.8216002.6491404744472.758389057169
0.8316111.4034541532479.950456946879
0.8416224.2309768215486.797661494869
0.8516340.7997120896492.243796702671
0.8616460.3307905183494.092941988124
0.8716581.4935929510489.333748335866
0.8816702.4547843354475.016627901599
0.8916821.1732575652449.425333134346
0.916936.0043041482413.251905801133
0.9117046.6208241268370.517054281016
0.9217155.1796654693329.319182569017
0.9317267.5506502559302.302603753206
0.9417394.2426072465305.256429517223
0.9517550.2764234089349.058587180838
0.9617752.4513627140430.60527286458
0.9718011.3283848017535.858257835564
0.9818315.6608990244648.760201105315
0.9918614.1693046591753.222908619644

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 9452.6373338033 & 1363.18409520266 \tabularnewline
0.02 & 9948.75468334385 & 1044.72919029972 \tabularnewline
0.03 & 10425.5529252555 & 757.720659605528 \tabularnewline
0.04 & 10804.4970593318 & 551.014539944474 \tabularnewline
0.05 & 11079.1883045443 & 419.248842037101 \tabularnewline
0.06 & 11274.016584502 & 338.611254691244 \tabularnewline
0.07 & 11416.1821488271 & 289.109389996952 \tabularnewline
0.08 & 11525.9698404089 & 259.708007478303 \tabularnewline
0.09 & 11616.5957663631 & 246.069832209328 \tabularnewline
0.1 & 11696.5627097381 & 246.954569369677 \tabularnewline
0.11 & 11771.6104367503 & 261.091465393438 \tabularnewline
0.12 & 11845.7521134979 & 285.571239145183 \tabularnewline
0.13 & 11921.678479168 & 315.943435133469 \tabularnewline
0.14 & 12000.8839086237 & 347.159722243744 \tabularnewline
0.15 & 12083.7507750674 & 374.557949902602 \tabularnewline
0.16 & 12169.7045514804 & 394.544835325468 \tabularnewline
0.17 & 12257.4616412851 & 404.97213980319 \tabularnewline
0.18 & 12345.3374126135 & 405.286107389021 \tabularnewline
0.19 & 12431.5592786254 & 396.314904680205 \tabularnewline
0.2 & 12514.5321661378 & 379.896910601999 \tabularnewline
0.21 & 12593.0219424544 & 358.418461466482 \tabularnewline
0.22 & 12666.2460459731 & 334.326649167502 \tabularnewline
0.23 & 12733.8811672937 & 309.832263402588 \tabularnewline
0.24 & 12796.0104518324 & 286.718529577723 \tabularnewline
0.25 & 12853.0363927858 & 266.283047000963 \tabularnewline
0.26 & 12905.5823500888 & 249.356908046335 \tabularnewline
0.27 & 12954.3987777574 & 236.376666940507 \tabularnewline
0.28 & 13000.2828993130 & 227.440105163875 \tabularnewline
0.29 & 13044.0147914476 & 222.363311589198 \tabularnewline
0.3 & 13086.3093829162 & 220.702400419328 \tabularnewline
0.31 & 13127.7825086420 & 221.872033628695 \tabularnewline
0.32 & 13168.9291270312 & 225.095073989217 \tabularnewline
0.33 & 13210.1123014477 & 229.580218819933 \tabularnewline
0.34 & 13251.5619764154 & 234.567516082654 \tabularnewline
0.35 & 13293.3826705881 & 239.339123455935 \tabularnewline
0.36 & 13335.5689554384 & 243.356447896412 \tabularnewline
0.37 & 13378.0271444390 & 246.194052765643 \tabularnewline
0.38 & 13420.6011831489 & 247.578090449926 \tabularnewline
0.39 & 13463.100471538 & 247.435680980269 \tabularnewline
0.4 & 13505.3273527912 & 245.898127393146 \tabularnewline
0.41 & 13547.1022674999 & 243.136769416714 \tabularnewline
0.42 & 13588.2850284215 & 239.510485580951 \tabularnewline
0.43 & 13628.7912102467 & 235.403411339791 \tabularnewline
0.44 & 13668.603159804 & 231.297948706026 \tabularnewline
0.45 & 13707.7755326146 & 227.645521233025 \tabularnewline
0.46 & 13746.4355185848 & 224.925285961733 \tabularnewline
0.47 & 13784.7780531161 & 223.567795250271 \tabularnewline
0.48 & 13823.0563813519 & 223.901415990101 \tabularnewline
0.49 & 13861.5684303893 & 226.234050453086 \tabularnewline
0.5 & 13900.6396116341 & 230.703738346515 \tabularnewline
0.51 & 13940.6029492749 & 237.242523030174 \tabularnewline
0.52 & 13981.7777858648 & 245.733208291653 \tabularnewline
0.53 & 14024.4486787854 & 255.806508087759 \tabularnewline
0.54 & 14068.8463689631 & 266.999910316600 \tabularnewline
0.55 & 14115.1327718663 & 278.808625935515 \tabularnewline
0.56 & 14163.3917365233 & 290.636506389722 \tabularnewline
0.57 & 14213.6268207093 & 301.942510612341 \tabularnewline
0.58 & 14265.7665838654 & 312.23674811971 \tabularnewline
0.59 & 14319.6770081663 & 321.185492056955 \tabularnewline
0.6 & 14375.1797683625 & 328.561364222282 \tabularnewline
0.61 & 14432.0743411883 & 334.305595032543 \tabularnewline
0.62 & 14490.1615136441 & 338.508916084559 \tabularnewline
0.63 & 14549.2658031799 & 341.422906500357 \tabularnewline
0.64 & 14609.2546531072 & 343.365565374608 \tabularnewline
0.65 & 14670.0529378528 & 344.763651484698 \tabularnewline
0.66 & 14731.6521483556 & 346.006930681876 \tabularnewline
0.67 & 14794.1144177487 & 347.536631987126 \tabularnewline
0.68 & 14857.5720773099 & 349.696532648942 \tabularnewline
0.69 & 14922.2235516302 & 352.814478946097 \tabularnewline
0.7 & 14988.3260927003 & 357.139342971998 \tabularnewline
0.71 & 15056.1852802404 & 362.87067480181 \tabularnewline
0.72 & 15126.1407235939 & 370.145711152199 \tabularnewline
0.73 & 15198.5474261599 & 378.998693198753 \tabularnewline
0.74 & 15273.7531744955 & 389.325819269216 \tabularnewline
0.75 & 15352.0741383203 & 400.845222235392 \tabularnewline
0.76 & 15433.7731440740 & 413.077473803142 \tabularnewline
0.77 & 15519.0467634576 & 425.39542746715 \tabularnewline
0.78 & 15608.0270223082 & 437.138829362102 \tabularnewline
0.79 & 15700.7999464754 & 447.793153321546 \tabularnewline
0.8 & 15797.4360579871 & 457.127316082855 \tabularnewline
0.81 & 15898.0187936406 & 465.298369330809 \tabularnewline
0.82 & 16002.6491404744 & 472.758389057169 \tabularnewline
0.83 & 16111.4034541532 & 479.950456946879 \tabularnewline
0.84 & 16224.2309768215 & 486.797661494869 \tabularnewline
0.85 & 16340.7997120896 & 492.243796702671 \tabularnewline
0.86 & 16460.3307905183 & 494.092941988124 \tabularnewline
0.87 & 16581.4935929510 & 489.333748335866 \tabularnewline
0.88 & 16702.4547843354 & 475.016627901599 \tabularnewline
0.89 & 16821.1732575652 & 449.425333134346 \tabularnewline
0.9 & 16936.0043041482 & 413.251905801133 \tabularnewline
0.91 & 17046.6208241268 & 370.517054281016 \tabularnewline
0.92 & 17155.1796654693 & 329.319182569017 \tabularnewline
0.93 & 17267.5506502559 & 302.302603753206 \tabularnewline
0.94 & 17394.2426072465 & 305.256429517223 \tabularnewline
0.95 & 17550.2764234089 & 349.058587180838 \tabularnewline
0.96 & 17752.4513627140 & 430.60527286458 \tabularnewline
0.97 & 18011.3283848017 & 535.858257835564 \tabularnewline
0.98 & 18315.6608990244 & 648.760201105315 \tabularnewline
0.99 & 18614.1693046591 & 753.222908619644 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19468&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]9452.6373338033[/C][C]1363.18409520266[/C][/ROW]
[ROW][C]0.02[/C][C]9948.75468334385[/C][C]1044.72919029972[/C][/ROW]
[ROW][C]0.03[/C][C]10425.5529252555[/C][C]757.720659605528[/C][/ROW]
[ROW][C]0.04[/C][C]10804.4970593318[/C][C]551.014539944474[/C][/ROW]
[ROW][C]0.05[/C][C]11079.1883045443[/C][C]419.248842037101[/C][/ROW]
[ROW][C]0.06[/C][C]11274.016584502[/C][C]338.611254691244[/C][/ROW]
[ROW][C]0.07[/C][C]11416.1821488271[/C][C]289.109389996952[/C][/ROW]
[ROW][C]0.08[/C][C]11525.9698404089[/C][C]259.708007478303[/C][/ROW]
[ROW][C]0.09[/C][C]11616.5957663631[/C][C]246.069832209328[/C][/ROW]
[ROW][C]0.1[/C][C]11696.5627097381[/C][C]246.954569369677[/C][/ROW]
[ROW][C]0.11[/C][C]11771.6104367503[/C][C]261.091465393438[/C][/ROW]
[ROW][C]0.12[/C][C]11845.7521134979[/C][C]285.571239145183[/C][/ROW]
[ROW][C]0.13[/C][C]11921.678479168[/C][C]315.943435133469[/C][/ROW]
[ROW][C]0.14[/C][C]12000.8839086237[/C][C]347.159722243744[/C][/ROW]
[ROW][C]0.15[/C][C]12083.7507750674[/C][C]374.557949902602[/C][/ROW]
[ROW][C]0.16[/C][C]12169.7045514804[/C][C]394.544835325468[/C][/ROW]
[ROW][C]0.17[/C][C]12257.4616412851[/C][C]404.97213980319[/C][/ROW]
[ROW][C]0.18[/C][C]12345.3374126135[/C][C]405.286107389021[/C][/ROW]
[ROW][C]0.19[/C][C]12431.5592786254[/C][C]396.314904680205[/C][/ROW]
[ROW][C]0.2[/C][C]12514.5321661378[/C][C]379.896910601999[/C][/ROW]
[ROW][C]0.21[/C][C]12593.0219424544[/C][C]358.418461466482[/C][/ROW]
[ROW][C]0.22[/C][C]12666.2460459731[/C][C]334.326649167502[/C][/ROW]
[ROW][C]0.23[/C][C]12733.8811672937[/C][C]309.832263402588[/C][/ROW]
[ROW][C]0.24[/C][C]12796.0104518324[/C][C]286.718529577723[/C][/ROW]
[ROW][C]0.25[/C][C]12853.0363927858[/C][C]266.283047000963[/C][/ROW]
[ROW][C]0.26[/C][C]12905.5823500888[/C][C]249.356908046335[/C][/ROW]
[ROW][C]0.27[/C][C]12954.3987777574[/C][C]236.376666940507[/C][/ROW]
[ROW][C]0.28[/C][C]13000.2828993130[/C][C]227.440105163875[/C][/ROW]
[ROW][C]0.29[/C][C]13044.0147914476[/C][C]222.363311589198[/C][/ROW]
[ROW][C]0.3[/C][C]13086.3093829162[/C][C]220.702400419328[/C][/ROW]
[ROW][C]0.31[/C][C]13127.7825086420[/C][C]221.872033628695[/C][/ROW]
[ROW][C]0.32[/C][C]13168.9291270312[/C][C]225.095073989217[/C][/ROW]
[ROW][C]0.33[/C][C]13210.1123014477[/C][C]229.580218819933[/C][/ROW]
[ROW][C]0.34[/C][C]13251.5619764154[/C][C]234.567516082654[/C][/ROW]
[ROW][C]0.35[/C][C]13293.3826705881[/C][C]239.339123455935[/C][/ROW]
[ROW][C]0.36[/C][C]13335.5689554384[/C][C]243.356447896412[/C][/ROW]
[ROW][C]0.37[/C][C]13378.0271444390[/C][C]246.194052765643[/C][/ROW]
[ROW][C]0.38[/C][C]13420.6011831489[/C][C]247.578090449926[/C][/ROW]
[ROW][C]0.39[/C][C]13463.100471538[/C][C]247.435680980269[/C][/ROW]
[ROW][C]0.4[/C][C]13505.3273527912[/C][C]245.898127393146[/C][/ROW]
[ROW][C]0.41[/C][C]13547.1022674999[/C][C]243.136769416714[/C][/ROW]
[ROW][C]0.42[/C][C]13588.2850284215[/C][C]239.510485580951[/C][/ROW]
[ROW][C]0.43[/C][C]13628.7912102467[/C][C]235.403411339791[/C][/ROW]
[ROW][C]0.44[/C][C]13668.603159804[/C][C]231.297948706026[/C][/ROW]
[ROW][C]0.45[/C][C]13707.7755326146[/C][C]227.645521233025[/C][/ROW]
[ROW][C]0.46[/C][C]13746.4355185848[/C][C]224.925285961733[/C][/ROW]
[ROW][C]0.47[/C][C]13784.7780531161[/C][C]223.567795250271[/C][/ROW]
[ROW][C]0.48[/C][C]13823.0563813519[/C][C]223.901415990101[/C][/ROW]
[ROW][C]0.49[/C][C]13861.5684303893[/C][C]226.234050453086[/C][/ROW]
[ROW][C]0.5[/C][C]13900.6396116341[/C][C]230.703738346515[/C][/ROW]
[ROW][C]0.51[/C][C]13940.6029492749[/C][C]237.242523030174[/C][/ROW]
[ROW][C]0.52[/C][C]13981.7777858648[/C][C]245.733208291653[/C][/ROW]
[ROW][C]0.53[/C][C]14024.4486787854[/C][C]255.806508087759[/C][/ROW]
[ROW][C]0.54[/C][C]14068.8463689631[/C][C]266.999910316600[/C][/ROW]
[ROW][C]0.55[/C][C]14115.1327718663[/C][C]278.808625935515[/C][/ROW]
[ROW][C]0.56[/C][C]14163.3917365233[/C][C]290.636506389722[/C][/ROW]
[ROW][C]0.57[/C][C]14213.6268207093[/C][C]301.942510612341[/C][/ROW]
[ROW][C]0.58[/C][C]14265.7665838654[/C][C]312.23674811971[/C][/ROW]
[ROW][C]0.59[/C][C]14319.6770081663[/C][C]321.185492056955[/C][/ROW]
[ROW][C]0.6[/C][C]14375.1797683625[/C][C]328.561364222282[/C][/ROW]
[ROW][C]0.61[/C][C]14432.0743411883[/C][C]334.305595032543[/C][/ROW]
[ROW][C]0.62[/C][C]14490.1615136441[/C][C]338.508916084559[/C][/ROW]
[ROW][C]0.63[/C][C]14549.2658031799[/C][C]341.422906500357[/C][/ROW]
[ROW][C]0.64[/C][C]14609.2546531072[/C][C]343.365565374608[/C][/ROW]
[ROW][C]0.65[/C][C]14670.0529378528[/C][C]344.763651484698[/C][/ROW]
[ROW][C]0.66[/C][C]14731.6521483556[/C][C]346.006930681876[/C][/ROW]
[ROW][C]0.67[/C][C]14794.1144177487[/C][C]347.536631987126[/C][/ROW]
[ROW][C]0.68[/C][C]14857.5720773099[/C][C]349.696532648942[/C][/ROW]
[ROW][C]0.69[/C][C]14922.2235516302[/C][C]352.814478946097[/C][/ROW]
[ROW][C]0.7[/C][C]14988.3260927003[/C][C]357.139342971998[/C][/ROW]
[ROW][C]0.71[/C][C]15056.1852802404[/C][C]362.87067480181[/C][/ROW]
[ROW][C]0.72[/C][C]15126.1407235939[/C][C]370.145711152199[/C][/ROW]
[ROW][C]0.73[/C][C]15198.5474261599[/C][C]378.998693198753[/C][/ROW]
[ROW][C]0.74[/C][C]15273.7531744955[/C][C]389.325819269216[/C][/ROW]
[ROW][C]0.75[/C][C]15352.0741383203[/C][C]400.845222235392[/C][/ROW]
[ROW][C]0.76[/C][C]15433.7731440740[/C][C]413.077473803142[/C][/ROW]
[ROW][C]0.77[/C][C]15519.0467634576[/C][C]425.39542746715[/C][/ROW]
[ROW][C]0.78[/C][C]15608.0270223082[/C][C]437.138829362102[/C][/ROW]
[ROW][C]0.79[/C][C]15700.7999464754[/C][C]447.793153321546[/C][/ROW]
[ROW][C]0.8[/C][C]15797.4360579871[/C][C]457.127316082855[/C][/ROW]
[ROW][C]0.81[/C][C]15898.0187936406[/C][C]465.298369330809[/C][/ROW]
[ROW][C]0.82[/C][C]16002.6491404744[/C][C]472.758389057169[/C][/ROW]
[ROW][C]0.83[/C][C]16111.4034541532[/C][C]479.950456946879[/C][/ROW]
[ROW][C]0.84[/C][C]16224.2309768215[/C][C]486.797661494869[/C][/ROW]
[ROW][C]0.85[/C][C]16340.7997120896[/C][C]492.243796702671[/C][/ROW]
[ROW][C]0.86[/C][C]16460.3307905183[/C][C]494.092941988124[/C][/ROW]
[ROW][C]0.87[/C][C]16581.4935929510[/C][C]489.333748335866[/C][/ROW]
[ROW][C]0.88[/C][C]16702.4547843354[/C][C]475.016627901599[/C][/ROW]
[ROW][C]0.89[/C][C]16821.1732575652[/C][C]449.425333134346[/C][/ROW]
[ROW][C]0.9[/C][C]16936.0043041482[/C][C]413.251905801133[/C][/ROW]
[ROW][C]0.91[/C][C]17046.6208241268[/C][C]370.517054281016[/C][/ROW]
[ROW][C]0.92[/C][C]17155.1796654693[/C][C]329.319182569017[/C][/ROW]
[ROW][C]0.93[/C][C]17267.5506502559[/C][C]302.302603753206[/C][/ROW]
[ROW][C]0.94[/C][C]17394.2426072465[/C][C]305.256429517223[/C][/ROW]
[ROW][C]0.95[/C][C]17550.2764234089[/C][C]349.058587180838[/C][/ROW]
[ROW][C]0.96[/C][C]17752.4513627140[/C][C]430.60527286458[/C][/ROW]
[ROW][C]0.97[/C][C]18011.3283848017[/C][C]535.858257835564[/C][/ROW]
[ROW][C]0.98[/C][C]18315.6608990244[/C][C]648.760201105315[/C][/ROW]
[ROW][C]0.99[/C][C]18614.1693046591[/C][C]753.222908619644[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19468&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19468&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
0.019452.63733380331363.18409520266
0.029948.754683343851044.72919029972
0.0310425.5529252555757.720659605528
0.0410804.4970593318551.014539944474
0.0511079.1883045443419.248842037101
0.0611274.016584502338.611254691244
0.0711416.1821488271289.109389996952
0.0811525.9698404089259.708007478303
0.0911616.5957663631246.069832209328
0.111696.5627097381246.954569369677
0.1111771.6104367503261.091465393438
0.1211845.7521134979285.571239145183
0.1311921.678479168315.943435133469
0.1412000.8839086237347.159722243744
0.1512083.7507750674374.557949902602
0.1612169.7045514804394.544835325468
0.1712257.4616412851404.97213980319
0.1812345.3374126135405.286107389021
0.1912431.5592786254396.314904680205
0.212514.5321661378379.896910601999
0.2112593.0219424544358.418461466482
0.2212666.2460459731334.326649167502
0.2312733.8811672937309.832263402588
0.2412796.0104518324286.718529577723
0.2512853.0363927858266.283047000963
0.2612905.5823500888249.356908046335
0.2712954.3987777574236.376666940507
0.2813000.2828993130227.440105163875
0.2913044.0147914476222.363311589198
0.313086.3093829162220.702400419328
0.3113127.7825086420221.872033628695
0.3213168.9291270312225.095073989217
0.3313210.1123014477229.580218819933
0.3413251.5619764154234.567516082654
0.3513293.3826705881239.339123455935
0.3613335.5689554384243.356447896412
0.3713378.0271444390246.194052765643
0.3813420.6011831489247.578090449926
0.3913463.100471538247.435680980269
0.413505.3273527912245.898127393146
0.4113547.1022674999243.136769416714
0.4213588.2850284215239.510485580951
0.4313628.7912102467235.403411339791
0.4413668.603159804231.297948706026
0.4513707.7755326146227.645521233025
0.4613746.4355185848224.925285961733
0.4713784.7780531161223.567795250271
0.4813823.0563813519223.901415990101
0.4913861.5684303893226.234050453086
0.513900.6396116341230.703738346515
0.5113940.6029492749237.242523030174
0.5213981.7777858648245.733208291653
0.5314024.4486787854255.806508087759
0.5414068.8463689631266.999910316600
0.5514115.1327718663278.808625935515
0.5614163.3917365233290.636506389722
0.5714213.6268207093301.942510612341
0.5814265.7665838654312.23674811971
0.5914319.6770081663321.185492056955
0.614375.1797683625328.561364222282
0.6114432.0743411883334.305595032543
0.6214490.1615136441338.508916084559
0.6314549.2658031799341.422906500357
0.6414609.2546531072343.365565374608
0.6514670.0529378528344.763651484698
0.6614731.6521483556346.006930681876
0.6714794.1144177487347.536631987126
0.6814857.5720773099349.696532648942
0.6914922.2235516302352.814478946097
0.714988.3260927003357.139342971998
0.7115056.1852802404362.87067480181
0.7215126.1407235939370.145711152199
0.7315198.5474261599378.998693198753
0.7415273.7531744955389.325819269216
0.7515352.0741383203400.845222235392
0.7615433.7731440740413.077473803142
0.7715519.0467634576425.39542746715
0.7815608.0270223082437.138829362102
0.7915700.7999464754447.793153321546
0.815797.4360579871457.127316082855
0.8115898.0187936406465.298369330809
0.8216002.6491404744472.758389057169
0.8316111.4034541532479.950456946879
0.8416224.2309768215486.797661494869
0.8516340.7997120896492.243796702671
0.8616460.3307905183494.092941988124
0.8716581.4935929510489.333748335866
0.8816702.4547843354475.016627901599
0.8916821.1732575652449.425333134346
0.916936.0043041482413.251905801133
0.9117046.6208241268370.517054281016
0.9217155.1796654693329.319182569017
0.9317267.5506502559302.302603753206
0.9417394.2426072465305.256429517223
0.9517550.2764234089349.058587180838
0.9617752.4513627140430.60527286458
0.9718011.3283848017535.858257835564
0.9818315.6608990244648.760201105315
0.9918614.1693046591753.222908619644


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')