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 computationWed, 05 Mar 2008 10:12:56 -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/05/t1204737212bp8v7x1ysf75c3b.htm/, Retrieved Sat, 18 May 2024 23:45:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=10030, Retrieved Sat, 18 May 2024 23:45:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact299

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] [gemiddelde fietsp...] [2008-03-05 17:12:56] [5f22b470c9f884f89ba28cade77c8f91] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
217,8
218,79
218,99
219,53
219,55
219,74
219,74
219,74
219,8
219,97
220,07
220,07
220,1
225,8
233,17
233,83
233,63
233,63
233,65
233,8
233,84
233,74
233,88
233,88
233,81
234,68
236,14
236,91
236,87
236,78
236,78
236,9
236,94
236,97
236,96
236,94
236,99
237,24
237,62
237,54
237,41
237,4
237,41
237,28
237,17
237,18
237,18
237,18
236,77
239,23
240,23
240,33
240,33
240,34
240,34
240,27
240,29
240,29
240,29
240,29
240,31
239,95
242,33
242,11
241,53
241,53
241,53
241,41
241,41
241,66
241,8
241,99

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=10030&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=10030&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10030&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 time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01218.0766580247400.80105726922682
0.02218.4574329950770.601920797545616
0.03218.8054014240340.473682614218872
0.04219.0766073447580.402454064280135
0.05219.2802886486010.346825140371806
0.06219.4365561990160.299328426527231
0.07219.5637166491270.280497067633948
0.08219.6799664809970.324562936899705
0.09219.8066060700770.464382581609319
0.1219.9693650974660.721483100551154
0.11220.1979107885281.11144330977650
0.12220.5237169198211.63930610298937
0.13220.9763180695012.28975570276716
0.14221.5783599896963.02142756417389
0.15222.3404680564443.76949192565757
0.16223.2573360544664.45430016937036
0.17224.3063268408024.99607737102006
0.18225.4492719833425.33066608806861
0.19226.6372753342935.42262644023057
0.2227.8174919598165.27017546935423
0.21228.9403613158194.9046987666379
0.22229.9657631000044.38171367190188
0.23230.8669861733843.76899564385911
0.24231.6320616593663.13412448644349
0.25232.2626707991212.53536100597214
0.26232.771306494592.01523168815187
0.27233.1775600590541.5999151751265
0.28233.5043438290581.30108438197306
0.29233.7746374832831.11697724331437
0.3234.0090707962851.03268335684248
0.31234.2244148527041.02263243643937
0.32234.4328920718231.05680071981273
0.33234.6421372007431.10949375603066
0.34234.8556257682091.16011229131604
0.35235.0734044770081.19434731119143
0.36235.2929859055731.20339042303447
0.37235.5102948254411.18288465206823
0.38235.7205727820331.13282274456101
0.39235.9191646642241.05688646054951
0.4236.1021302570190.960656988293092
0.41236.2666474310260.851775430593942
0.42236.4112004903120.737736637179363
0.43236.5355735135340.625663113103536
0.44236.6406897485640.521428126324689
0.45236.7283507738230.429452838248349
0.46236.8009319089690.351949865965039
0.47236.8610842769940.289958334346577
0.48236.9114817436450.243034899662758
0.49236.9546361349840.210090276190268
0.5236.9927897919720.189189955519147
0.51237.0278827997970.178243941107572
0.52237.0615840341460.175189014137679
0.53237.0953703206310.179471130882102
0.54237.1306356441610.190315727785184
0.55237.1688113953950.208785510590533
0.56237.2114782391080.235839321513293
0.57237.2604499913160.27334830045187
0.58237.3178102170870.323516163062451
0.59237.3858840358570.386943878186703
0.6237.4671321112740.464198191883418
0.61237.5639621341490.554511174577372
0.62237.6784656567370.65494074185242
0.63237.8121039564970.761445342420374
0.64237.9653831244540.867749695736341
0.65238.1375718004010.966238290843014
0.66238.3265203582761.04915771209850
0.67238.5286341286291.10878193212888
0.68238.7390340181051.13865434792236
0.69238.9519077063231.13539166130044
0.7239.1610191712321.09761874326422
0.71239.3603118618141.02823343084328
0.72239.5445199542400.932961858839479
0.73239.7096988940070.819714435362405
0.74239.8536021647480.698028584819291
0.75239.9758615354240.577438955273781
0.76240.0779638169110.466944293907656
0.77240.1630475029020.374300876169666
0.78240.2355588937120.305407953534462
0.79240.3008067249320.265815948889440
0.8240.3644422542180.257825285783144
0.81240.4318803459620.278580239419730
0.82240.5076805258840.319850742528497
0.83240.59493396630.371384660952584
0.84240.6947486124800.422542669648407
0.85240.8059695010390.463135188708123
0.86240.9252824956390.484294597992275
0.87241.0477974105410.480786311458057
0.88241.1680826915720.452116321325968
0.89241.2814565419210.403313553606684
0.9241.3851916866220.344286852452482
0.91241.4792390255250.287162102540714
0.92241.5661735929840.243263962284678
0.93241.6503186497030.218865060917729
0.94241.7363564438010.211475292007824
0.95241.8280616861130.211284670265572
0.96241.9277980787420.208006689452252
0.97242.036482593330.198278375635023
0.98242.1514990100190.190491075789411
0.99242.2593983660280.198897470337806

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 218.076658024740 & 0.80105726922682 \tabularnewline
0.02 & 218.457432995077 & 0.601920797545616 \tabularnewline
0.03 & 218.805401424034 & 0.473682614218872 \tabularnewline
0.04 & 219.076607344758 & 0.402454064280135 \tabularnewline
0.05 & 219.280288648601 & 0.346825140371806 \tabularnewline
0.06 & 219.436556199016 & 0.299328426527231 \tabularnewline
0.07 & 219.563716649127 & 0.280497067633948 \tabularnewline
0.08 & 219.679966480997 & 0.324562936899705 \tabularnewline
0.09 & 219.806606070077 & 0.464382581609319 \tabularnewline
0.1 & 219.969365097466 & 0.721483100551154 \tabularnewline
0.11 & 220.197910788528 & 1.11144330977650 \tabularnewline
0.12 & 220.523716919821 & 1.63930610298937 \tabularnewline
0.13 & 220.976318069501 & 2.28975570276716 \tabularnewline
0.14 & 221.578359989696 & 3.02142756417389 \tabularnewline
0.15 & 222.340468056444 & 3.76949192565757 \tabularnewline
0.16 & 223.257336054466 & 4.45430016937036 \tabularnewline
0.17 & 224.306326840802 & 4.99607737102006 \tabularnewline
0.18 & 225.449271983342 & 5.33066608806861 \tabularnewline
0.19 & 226.637275334293 & 5.42262644023057 \tabularnewline
0.2 & 227.817491959816 & 5.27017546935423 \tabularnewline
0.21 & 228.940361315819 & 4.9046987666379 \tabularnewline
0.22 & 229.965763100004 & 4.38171367190188 \tabularnewline
0.23 & 230.866986173384 & 3.76899564385911 \tabularnewline
0.24 & 231.632061659366 & 3.13412448644349 \tabularnewline
0.25 & 232.262670799121 & 2.53536100597214 \tabularnewline
0.26 & 232.77130649459 & 2.01523168815187 \tabularnewline
0.27 & 233.177560059054 & 1.5999151751265 \tabularnewline
0.28 & 233.504343829058 & 1.30108438197306 \tabularnewline
0.29 & 233.774637483283 & 1.11697724331437 \tabularnewline
0.3 & 234.009070796285 & 1.03268335684248 \tabularnewline
0.31 & 234.224414852704 & 1.02263243643937 \tabularnewline
0.32 & 234.432892071823 & 1.05680071981273 \tabularnewline
0.33 & 234.642137200743 & 1.10949375603066 \tabularnewline
0.34 & 234.855625768209 & 1.16011229131604 \tabularnewline
0.35 & 235.073404477008 & 1.19434731119143 \tabularnewline
0.36 & 235.292985905573 & 1.20339042303447 \tabularnewline
0.37 & 235.510294825441 & 1.18288465206823 \tabularnewline
0.38 & 235.720572782033 & 1.13282274456101 \tabularnewline
0.39 & 235.919164664224 & 1.05688646054951 \tabularnewline
0.4 & 236.102130257019 & 0.960656988293092 \tabularnewline
0.41 & 236.266647431026 & 0.851775430593942 \tabularnewline
0.42 & 236.411200490312 & 0.737736637179363 \tabularnewline
0.43 & 236.535573513534 & 0.625663113103536 \tabularnewline
0.44 & 236.640689748564 & 0.521428126324689 \tabularnewline
0.45 & 236.728350773823 & 0.429452838248349 \tabularnewline
0.46 & 236.800931908969 & 0.351949865965039 \tabularnewline
0.47 & 236.861084276994 & 0.289958334346577 \tabularnewline
0.48 & 236.911481743645 & 0.243034899662758 \tabularnewline
0.49 & 236.954636134984 & 0.210090276190268 \tabularnewline
0.5 & 236.992789791972 & 0.189189955519147 \tabularnewline
0.51 & 237.027882799797 & 0.178243941107572 \tabularnewline
0.52 & 237.061584034146 & 0.175189014137679 \tabularnewline
0.53 & 237.095370320631 & 0.179471130882102 \tabularnewline
0.54 & 237.130635644161 & 0.190315727785184 \tabularnewline
0.55 & 237.168811395395 & 0.208785510590533 \tabularnewline
0.56 & 237.211478239108 & 0.235839321513293 \tabularnewline
0.57 & 237.260449991316 & 0.27334830045187 \tabularnewline
0.58 & 237.317810217087 & 0.323516163062451 \tabularnewline
0.59 & 237.385884035857 & 0.386943878186703 \tabularnewline
0.6 & 237.467132111274 & 0.464198191883418 \tabularnewline
0.61 & 237.563962134149 & 0.554511174577372 \tabularnewline
0.62 & 237.678465656737 & 0.65494074185242 \tabularnewline
0.63 & 237.812103956497 & 0.761445342420374 \tabularnewline
0.64 & 237.965383124454 & 0.867749695736341 \tabularnewline
0.65 & 238.137571800401 & 0.966238290843014 \tabularnewline
0.66 & 238.326520358276 & 1.04915771209850 \tabularnewline
0.67 & 238.528634128629 & 1.10878193212888 \tabularnewline
0.68 & 238.739034018105 & 1.13865434792236 \tabularnewline
0.69 & 238.951907706323 & 1.13539166130044 \tabularnewline
0.7 & 239.161019171232 & 1.09761874326422 \tabularnewline
0.71 & 239.360311861814 & 1.02823343084328 \tabularnewline
0.72 & 239.544519954240 & 0.932961858839479 \tabularnewline
0.73 & 239.709698894007 & 0.819714435362405 \tabularnewline
0.74 & 239.853602164748 & 0.698028584819291 \tabularnewline
0.75 & 239.975861535424 & 0.577438955273781 \tabularnewline
0.76 & 240.077963816911 & 0.466944293907656 \tabularnewline
0.77 & 240.163047502902 & 0.374300876169666 \tabularnewline
0.78 & 240.235558893712 & 0.305407953534462 \tabularnewline
0.79 & 240.300806724932 & 0.265815948889440 \tabularnewline
0.8 & 240.364442254218 & 0.257825285783144 \tabularnewline
0.81 & 240.431880345962 & 0.278580239419730 \tabularnewline
0.82 & 240.507680525884 & 0.319850742528497 \tabularnewline
0.83 & 240.5949339663 & 0.371384660952584 \tabularnewline
0.84 & 240.694748612480 & 0.422542669648407 \tabularnewline
0.85 & 240.805969501039 & 0.463135188708123 \tabularnewline
0.86 & 240.925282495639 & 0.484294597992275 \tabularnewline
0.87 & 241.047797410541 & 0.480786311458057 \tabularnewline
0.88 & 241.168082691572 & 0.452116321325968 \tabularnewline
0.89 & 241.281456541921 & 0.403313553606684 \tabularnewline
0.9 & 241.385191686622 & 0.344286852452482 \tabularnewline
0.91 & 241.479239025525 & 0.287162102540714 \tabularnewline
0.92 & 241.566173592984 & 0.243263962284678 \tabularnewline
0.93 & 241.650318649703 & 0.218865060917729 \tabularnewline
0.94 & 241.736356443801 & 0.211475292007824 \tabularnewline
0.95 & 241.828061686113 & 0.211284670265572 \tabularnewline
0.96 & 241.927798078742 & 0.208006689452252 \tabularnewline
0.97 & 242.03648259333 & 0.198278375635023 \tabularnewline
0.98 & 242.151499010019 & 0.190491075789411 \tabularnewline
0.99 & 242.259398366028 & 0.198897470337806 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=10030&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]218.076658024740[/C][C]0.80105726922682[/C][/ROW]
[ROW][C]0.02[/C][C]218.457432995077[/C][C]0.601920797545616[/C][/ROW]
[ROW][C]0.03[/C][C]218.805401424034[/C][C]0.473682614218872[/C][/ROW]
[ROW][C]0.04[/C][C]219.076607344758[/C][C]0.402454064280135[/C][/ROW]
[ROW][C]0.05[/C][C]219.280288648601[/C][C]0.346825140371806[/C][/ROW]
[ROW][C]0.06[/C][C]219.436556199016[/C][C]0.299328426527231[/C][/ROW]
[ROW][C]0.07[/C][C]219.563716649127[/C][C]0.280497067633948[/C][/ROW]
[ROW][C]0.08[/C][C]219.679966480997[/C][C]0.324562936899705[/C][/ROW]
[ROW][C]0.09[/C][C]219.806606070077[/C][C]0.464382581609319[/C][/ROW]
[ROW][C]0.1[/C][C]219.969365097466[/C][C]0.721483100551154[/C][/ROW]
[ROW][C]0.11[/C][C]220.197910788528[/C][C]1.11144330977650[/C][/ROW]
[ROW][C]0.12[/C][C]220.523716919821[/C][C]1.63930610298937[/C][/ROW]
[ROW][C]0.13[/C][C]220.976318069501[/C][C]2.28975570276716[/C][/ROW]
[ROW][C]0.14[/C][C]221.578359989696[/C][C]3.02142756417389[/C][/ROW]
[ROW][C]0.15[/C][C]222.340468056444[/C][C]3.76949192565757[/C][/ROW]
[ROW][C]0.16[/C][C]223.257336054466[/C][C]4.45430016937036[/C][/ROW]
[ROW][C]0.17[/C][C]224.306326840802[/C][C]4.99607737102006[/C][/ROW]
[ROW][C]0.18[/C][C]225.449271983342[/C][C]5.33066608806861[/C][/ROW]
[ROW][C]0.19[/C][C]226.637275334293[/C][C]5.42262644023057[/C][/ROW]
[ROW][C]0.2[/C][C]227.817491959816[/C][C]5.27017546935423[/C][/ROW]
[ROW][C]0.21[/C][C]228.940361315819[/C][C]4.9046987666379[/C][/ROW]
[ROW][C]0.22[/C][C]229.965763100004[/C][C]4.38171367190188[/C][/ROW]
[ROW][C]0.23[/C][C]230.866986173384[/C][C]3.76899564385911[/C][/ROW]
[ROW][C]0.24[/C][C]231.632061659366[/C][C]3.13412448644349[/C][/ROW]
[ROW][C]0.25[/C][C]232.262670799121[/C][C]2.53536100597214[/C][/ROW]
[ROW][C]0.26[/C][C]232.77130649459[/C][C]2.01523168815187[/C][/ROW]
[ROW][C]0.27[/C][C]233.177560059054[/C][C]1.5999151751265[/C][/ROW]
[ROW][C]0.28[/C][C]233.504343829058[/C][C]1.30108438197306[/C][/ROW]
[ROW][C]0.29[/C][C]233.774637483283[/C][C]1.11697724331437[/C][/ROW]
[ROW][C]0.3[/C][C]234.009070796285[/C][C]1.03268335684248[/C][/ROW]
[ROW][C]0.31[/C][C]234.224414852704[/C][C]1.02263243643937[/C][/ROW]
[ROW][C]0.32[/C][C]234.432892071823[/C][C]1.05680071981273[/C][/ROW]
[ROW][C]0.33[/C][C]234.642137200743[/C][C]1.10949375603066[/C][/ROW]
[ROW][C]0.34[/C][C]234.855625768209[/C][C]1.16011229131604[/C][/ROW]
[ROW][C]0.35[/C][C]235.073404477008[/C][C]1.19434731119143[/C][/ROW]
[ROW][C]0.36[/C][C]235.292985905573[/C][C]1.20339042303447[/C][/ROW]
[ROW][C]0.37[/C][C]235.510294825441[/C][C]1.18288465206823[/C][/ROW]
[ROW][C]0.38[/C][C]235.720572782033[/C][C]1.13282274456101[/C][/ROW]
[ROW][C]0.39[/C][C]235.919164664224[/C][C]1.05688646054951[/C][/ROW]
[ROW][C]0.4[/C][C]236.102130257019[/C][C]0.960656988293092[/C][/ROW]
[ROW][C]0.41[/C][C]236.266647431026[/C][C]0.851775430593942[/C][/ROW]
[ROW][C]0.42[/C][C]236.411200490312[/C][C]0.737736637179363[/C][/ROW]
[ROW][C]0.43[/C][C]236.535573513534[/C][C]0.625663113103536[/C][/ROW]
[ROW][C]0.44[/C][C]236.640689748564[/C][C]0.521428126324689[/C][/ROW]
[ROW][C]0.45[/C][C]236.728350773823[/C][C]0.429452838248349[/C][/ROW]
[ROW][C]0.46[/C][C]236.800931908969[/C][C]0.351949865965039[/C][/ROW]
[ROW][C]0.47[/C][C]236.861084276994[/C][C]0.289958334346577[/C][/ROW]
[ROW][C]0.48[/C][C]236.911481743645[/C][C]0.243034899662758[/C][/ROW]
[ROW][C]0.49[/C][C]236.954636134984[/C][C]0.210090276190268[/C][/ROW]
[ROW][C]0.5[/C][C]236.992789791972[/C][C]0.189189955519147[/C][/ROW]
[ROW][C]0.51[/C][C]237.027882799797[/C][C]0.178243941107572[/C][/ROW]
[ROW][C]0.52[/C][C]237.061584034146[/C][C]0.175189014137679[/C][/ROW]
[ROW][C]0.53[/C][C]237.095370320631[/C][C]0.179471130882102[/C][/ROW]
[ROW][C]0.54[/C][C]237.130635644161[/C][C]0.190315727785184[/C][/ROW]
[ROW][C]0.55[/C][C]237.168811395395[/C][C]0.208785510590533[/C][/ROW]
[ROW][C]0.56[/C][C]237.211478239108[/C][C]0.235839321513293[/C][/ROW]
[ROW][C]0.57[/C][C]237.260449991316[/C][C]0.27334830045187[/C][/ROW]
[ROW][C]0.58[/C][C]237.317810217087[/C][C]0.323516163062451[/C][/ROW]
[ROW][C]0.59[/C][C]237.385884035857[/C][C]0.386943878186703[/C][/ROW]
[ROW][C]0.6[/C][C]237.467132111274[/C][C]0.464198191883418[/C][/ROW]
[ROW][C]0.61[/C][C]237.563962134149[/C][C]0.554511174577372[/C][/ROW]
[ROW][C]0.62[/C][C]237.678465656737[/C][C]0.65494074185242[/C][/ROW]
[ROW][C]0.63[/C][C]237.812103956497[/C][C]0.761445342420374[/C][/ROW]
[ROW][C]0.64[/C][C]237.965383124454[/C][C]0.867749695736341[/C][/ROW]
[ROW][C]0.65[/C][C]238.137571800401[/C][C]0.966238290843014[/C][/ROW]
[ROW][C]0.66[/C][C]238.326520358276[/C][C]1.04915771209850[/C][/ROW]
[ROW][C]0.67[/C][C]238.528634128629[/C][C]1.10878193212888[/C][/ROW]
[ROW][C]0.68[/C][C]238.739034018105[/C][C]1.13865434792236[/C][/ROW]
[ROW][C]0.69[/C][C]238.951907706323[/C][C]1.13539166130044[/C][/ROW]
[ROW][C]0.7[/C][C]239.161019171232[/C][C]1.09761874326422[/C][/ROW]
[ROW][C]0.71[/C][C]239.360311861814[/C][C]1.02823343084328[/C][/ROW]
[ROW][C]0.72[/C][C]239.544519954240[/C][C]0.932961858839479[/C][/ROW]
[ROW][C]0.73[/C][C]239.709698894007[/C][C]0.819714435362405[/C][/ROW]
[ROW][C]0.74[/C][C]239.853602164748[/C][C]0.698028584819291[/C][/ROW]
[ROW][C]0.75[/C][C]239.975861535424[/C][C]0.577438955273781[/C][/ROW]
[ROW][C]0.76[/C][C]240.077963816911[/C][C]0.466944293907656[/C][/ROW]
[ROW][C]0.77[/C][C]240.163047502902[/C][C]0.374300876169666[/C][/ROW]
[ROW][C]0.78[/C][C]240.235558893712[/C][C]0.305407953534462[/C][/ROW]
[ROW][C]0.79[/C][C]240.300806724932[/C][C]0.265815948889440[/C][/ROW]
[ROW][C]0.8[/C][C]240.364442254218[/C][C]0.257825285783144[/C][/ROW]
[ROW][C]0.81[/C][C]240.431880345962[/C][C]0.278580239419730[/C][/ROW]
[ROW][C]0.82[/C][C]240.507680525884[/C][C]0.319850742528497[/C][/ROW]
[ROW][C]0.83[/C][C]240.5949339663[/C][C]0.371384660952584[/C][/ROW]
[ROW][C]0.84[/C][C]240.694748612480[/C][C]0.422542669648407[/C][/ROW]
[ROW][C]0.85[/C][C]240.805969501039[/C][C]0.463135188708123[/C][/ROW]
[ROW][C]0.86[/C][C]240.925282495639[/C][C]0.484294597992275[/C][/ROW]
[ROW][C]0.87[/C][C]241.047797410541[/C][C]0.480786311458057[/C][/ROW]
[ROW][C]0.88[/C][C]241.168082691572[/C][C]0.452116321325968[/C][/ROW]
[ROW][C]0.89[/C][C]241.281456541921[/C][C]0.403313553606684[/C][/ROW]
[ROW][C]0.9[/C][C]241.385191686622[/C][C]0.344286852452482[/C][/ROW]
[ROW][C]0.91[/C][C]241.479239025525[/C][C]0.287162102540714[/C][/ROW]
[ROW][C]0.92[/C][C]241.566173592984[/C][C]0.243263962284678[/C][/ROW]
[ROW][C]0.93[/C][C]241.650318649703[/C][C]0.218865060917729[/C][/ROW]
[ROW][C]0.94[/C][C]241.736356443801[/C][C]0.211475292007824[/C][/ROW]
[ROW][C]0.95[/C][C]241.828061686113[/C][C]0.211284670265572[/C][/ROW]
[ROW][C]0.96[/C][C]241.927798078742[/C][C]0.208006689452252[/C][/ROW]
[ROW][C]0.97[/C][C]242.03648259333[/C][C]0.198278375635023[/C][/ROW]
[ROW][C]0.98[/C][C]242.151499010019[/C][C]0.190491075789411[/C][/ROW]
[ROW][C]0.99[/C][C]242.259398366028[/C][C]0.198897470337806[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=10030&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10030&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
0.01218.0766580247400.80105726922682
0.02218.4574329950770.601920797545616
0.03218.8054014240340.473682614218872
0.04219.0766073447580.402454064280135
0.05219.2802886486010.346825140371806
0.06219.4365561990160.299328426527231
0.07219.5637166491270.280497067633948
0.08219.6799664809970.324562936899705
0.09219.8066060700770.464382581609319
0.1219.9693650974660.721483100551154
0.11220.1979107885281.11144330977650
0.12220.5237169198211.63930610298937
0.13220.9763180695012.28975570276716
0.14221.5783599896963.02142756417389
0.15222.3404680564443.76949192565757
0.16223.2573360544664.45430016937036
0.17224.3063268408024.99607737102006
0.18225.4492719833425.33066608806861
0.19226.6372753342935.42262644023057
0.2227.8174919598165.27017546935423
0.21228.9403613158194.9046987666379
0.22229.9657631000044.38171367190188
0.23230.8669861733843.76899564385911
0.24231.6320616593663.13412448644349
0.25232.2626707991212.53536100597214
0.26232.771306494592.01523168815187
0.27233.1775600590541.5999151751265
0.28233.5043438290581.30108438197306
0.29233.7746374832831.11697724331437
0.3234.0090707962851.03268335684248
0.31234.2244148527041.02263243643937
0.32234.4328920718231.05680071981273
0.33234.6421372007431.10949375603066
0.34234.8556257682091.16011229131604
0.35235.0734044770081.19434731119143
0.36235.2929859055731.20339042303447
0.37235.5102948254411.18288465206823
0.38235.7205727820331.13282274456101
0.39235.9191646642241.05688646054951
0.4236.1021302570190.960656988293092
0.41236.2666474310260.851775430593942
0.42236.4112004903120.737736637179363
0.43236.5355735135340.625663113103536
0.44236.6406897485640.521428126324689
0.45236.7283507738230.429452838248349
0.46236.8009319089690.351949865965039
0.47236.8610842769940.289958334346577
0.48236.9114817436450.243034899662758
0.49236.9546361349840.210090276190268
0.5236.9927897919720.189189955519147
0.51237.0278827997970.178243941107572
0.52237.0615840341460.175189014137679
0.53237.0953703206310.179471130882102
0.54237.1306356441610.190315727785184
0.55237.1688113953950.208785510590533
0.56237.2114782391080.235839321513293
0.57237.2604499913160.27334830045187
0.58237.3178102170870.323516163062451
0.59237.3858840358570.386943878186703
0.6237.4671321112740.464198191883418
0.61237.5639621341490.554511174577372
0.62237.6784656567370.65494074185242
0.63237.8121039564970.761445342420374
0.64237.9653831244540.867749695736341
0.65238.1375718004010.966238290843014
0.66238.3265203582761.04915771209850
0.67238.5286341286291.10878193212888
0.68238.7390340181051.13865434792236
0.69238.9519077063231.13539166130044
0.7239.1610191712321.09761874326422
0.71239.3603118618141.02823343084328
0.72239.5445199542400.932961858839479
0.73239.7096988940070.819714435362405
0.74239.8536021647480.698028584819291
0.75239.9758615354240.577438955273781
0.76240.0779638169110.466944293907656
0.77240.1630475029020.374300876169666
0.78240.2355588937120.305407953534462
0.79240.3008067249320.265815948889440
0.8240.3644422542180.257825285783144
0.81240.4318803459620.278580239419730
0.82240.5076805258840.319850742528497
0.83240.59493396630.371384660952584
0.84240.6947486124800.422542669648407
0.85240.8059695010390.463135188708123
0.86240.9252824956390.484294597992275
0.87241.0477974105410.480786311458057
0.88241.1680826915720.452116321325968
0.89241.2814565419210.403313553606684
0.9241.3851916866220.344286852452482
0.91241.4792390255250.287162102540714
0.92241.5661735929840.243263962284678
0.93241.6503186497030.218865060917729
0.94241.7363564438010.211475292007824
0.95241.8280616861130.211284670265572
0.96241.9277980787420.208006689452252
0.97242.036482593330.198278375635023
0.98242.1514990100190.190491075789411
0.99242.2593983660280.198897470337806


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')