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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 10 Dec 2007 16:32:35 -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/2007/Dec/11/t1197328746xjsxik8spaqk4o2.htm/, Retrieved Mon, 29 Apr 2024 07:33:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3080, Retrieved Mon, 29 Apr 2024 07:33:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact240

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] [] [2007-12-10 23:32:35] [3463f71ebce131edf0c83e066f45702c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
99,8
96,8
87,0
96,3
107,1
115,2
106,1
89,5
91,3
97,6
100,7
104,6
94,7
101,8
102,5
105,3
110,3
109,8
117,3
118,8
131,3
125,9
133,1
147,0
145,8
164,4
149,8
137,7
151,7
156,8
180,0
180,4
170,4
191,6
199,5
218,2
217,5
205,0
194,0
199,3
219,3
211,1
215,2
240,2
242,2
240,7
255,4
253,0
218,2
203,7
205,6
215,6
188,5
202,9
214,0
230,3
230,0
241,0
259,6
247,8
270,3

Tables (Output of Computation)





Summary of compuational 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 compuational 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=3080&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]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=3080&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3080&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 time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0187.68998406253162.40681026766858
0.0288.79892971551982.49683253060119
0.0390.09243963829622.72173639016495
0.0491.40960724426392.91613244469918
0.0592.67030901960532.97583253195302
0.0693.83985945163362.90870013496550
0.0794.90691667796682.78386563127562
0.0895.87571419273172.67517555249371
0.0996.76162927713262.62559178027557
0.197.58559491414872.64020847831344
0.1198.36846328095632.70107874684613
0.1299.12731582544652.78634904132112
0.1399.87436973147172.88206156999504
0.14100.6178582812742.98465614995195
0.15101.363810039513.09911572247334
0.16102.1178331325643.23486551738055
0.17102.8864223719493.40447598711996
0.18103.6776657947123.62010814291113
0.19104.5014301053383.89324433205934
0.2105.3691684530604.23329449582076
0.21106.2934804678314.64638508069492
0.22107.2875190343215.13453511312871
0.23108.3643110270235.69548071142892
0.24109.5360469379776.32254041964524
0.25110.8133913185887.0057203536714
0.26112.2048644107047.73129366800512
0.27113.7163408309438.48363579001986
0.28115.3507033449899.24496522695802
0.29117.1076803267229.9974093241394
0.3118.98388582345110.7228257575536
0.31120.97307106554611.4052616248263
0.32123.06658424684212.0310756907553
0.33125.25401977658012.5912094080304
0.34127.52401845754713.0812120138578
0.35129.86515769690813.5027155025604
0.36132.26684949551213.8630694420645
0.37134.72014852760114.1745543185120
0.38137.21836818150114.4538634064816
0.39139.75741279527914.7189158958903
0.4142.33576085083514.9867840514416
0.41144.95407475680615.2717930914341
0.42147.61446295301115.5804701173531
0.43150.3194716914515.9131967284541
0.44153.07092801025716.2594058494412
0.45155.86878367943216.6016027552453
0.46158.71011624883116.9158775870380
0.47161.5884256741817.1744553095754
0.48164.49332582779717.3498144261832
0.49167.41067620917617.4178741944198
0.5170.32313984150417.3600897627323
0.51173.21109886035317.1648580888247
0.52176.05381832558416.8306184888122
0.53178.83072665605916.3632753550628
0.54181.52267894592115.7768994280553
0.55184.11308445064915.0912748167517
0.56186.58880614496514.3312442249467
0.57188.94077188470213.5240257617271
0.58191.16426762444312.6977081190068
0.59193.25890981380211.8791273295089
0.6195.22831567588411.0923782755401
0.61197.07950799033110.3580830081530
0.62198.8221077740869.69145455126495
0.63200.4673859281979.10135283676911
0.64202.0272636898678.59014901613295
0.65203.5133691404118.1532333761192
0.66204.9362681050597.78078252594004
0.67206.3049861517037.45835599735766
0.68207.6269180485747.17109209651193
0.69208.9081784107736.90708530828848
0.7210.1543829919536.65908856603213
0.71211.3717700141416.42878681458415
0.72212.5684861467836.22728592742648
0.73213.755787514696.07481935026503
0.74214.9488600197155.99901072853295
0.75216.1669626545666.02871002533075
0.76217.4326563886676.18658890870957
0.77218.7700067034106.48049428542982
0.78220.2018361295806.89622354214997
0.79221.7463355513077.39730606346133
0.8223.4135832331377.92729627248577
0.81225.2027141720298.4185495016347
0.82227.1005616970798.80112654589816
0.83229.0824886495669.01472700198984
0.84231.1157860704829.02054082680552
0.85233.1654398656078.81209351807587
0.86235.2013275448918.42097852867273
0.87237.2051900551027.9160194264024
0.88239.1753125139667.39283850776827
0.89241.1270764322786.95037002304507
0.9243.0886822248286.6559646285019
0.91245.0934182135316.5116965060638
0.92247.1724882583846.45020372457665
0.93249.3545938764686.37397932240829
0.94251.6781273503046.22178006415954
0.95254.214984380526.0355126544679
0.96257.0857742488336.00736640241667
0.97260.4139770332846.45482350610761
0.98264.1507160721087.60115242890624
0.99267.7923041259519.21290242798875

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 87.6899840625316 & 2.40681026766858 \tabularnewline
0.02 & 88.7989297155198 & 2.49683253060119 \tabularnewline
0.03 & 90.0924396382962 & 2.72173639016495 \tabularnewline
0.04 & 91.4096072442639 & 2.91613244469918 \tabularnewline
0.05 & 92.6703090196053 & 2.97583253195302 \tabularnewline
0.06 & 93.8398594516336 & 2.90870013496550 \tabularnewline
0.07 & 94.9069166779668 & 2.78386563127562 \tabularnewline
0.08 & 95.8757141927317 & 2.67517555249371 \tabularnewline
0.09 & 96.7616292771326 & 2.62559178027557 \tabularnewline
0.1 & 97.5855949141487 & 2.64020847831344 \tabularnewline
0.11 & 98.3684632809563 & 2.70107874684613 \tabularnewline
0.12 & 99.1273158254465 & 2.78634904132112 \tabularnewline
0.13 & 99.8743697314717 & 2.88206156999504 \tabularnewline
0.14 & 100.617858281274 & 2.98465614995195 \tabularnewline
0.15 & 101.36381003951 & 3.09911572247334 \tabularnewline
0.16 & 102.117833132564 & 3.23486551738055 \tabularnewline
0.17 & 102.886422371949 & 3.40447598711996 \tabularnewline
0.18 & 103.677665794712 & 3.62010814291113 \tabularnewline
0.19 & 104.501430105338 & 3.89324433205934 \tabularnewline
0.2 & 105.369168453060 & 4.23329449582076 \tabularnewline
0.21 & 106.293480467831 & 4.64638508069492 \tabularnewline
0.22 & 107.287519034321 & 5.13453511312871 \tabularnewline
0.23 & 108.364311027023 & 5.69548071142892 \tabularnewline
0.24 & 109.536046937977 & 6.32254041964524 \tabularnewline
0.25 & 110.813391318588 & 7.0057203536714 \tabularnewline
0.26 & 112.204864410704 & 7.73129366800512 \tabularnewline
0.27 & 113.716340830943 & 8.48363579001986 \tabularnewline
0.28 & 115.350703344989 & 9.24496522695802 \tabularnewline
0.29 & 117.107680326722 & 9.9974093241394 \tabularnewline
0.3 & 118.983885823451 & 10.7228257575536 \tabularnewline
0.31 & 120.973071065546 & 11.4052616248263 \tabularnewline
0.32 & 123.066584246842 & 12.0310756907553 \tabularnewline
0.33 & 125.254019776580 & 12.5912094080304 \tabularnewline
0.34 & 127.524018457547 & 13.0812120138578 \tabularnewline
0.35 & 129.865157696908 & 13.5027155025604 \tabularnewline
0.36 & 132.266849495512 & 13.8630694420645 \tabularnewline
0.37 & 134.720148527601 & 14.1745543185120 \tabularnewline
0.38 & 137.218368181501 & 14.4538634064816 \tabularnewline
0.39 & 139.757412795279 & 14.7189158958903 \tabularnewline
0.4 & 142.335760850835 & 14.9867840514416 \tabularnewline
0.41 & 144.954074756806 & 15.2717930914341 \tabularnewline
0.42 & 147.614462953011 & 15.5804701173531 \tabularnewline
0.43 & 150.31947169145 & 15.9131967284541 \tabularnewline
0.44 & 153.070928010257 & 16.2594058494412 \tabularnewline
0.45 & 155.868783679432 & 16.6016027552453 \tabularnewline
0.46 & 158.710116248831 & 16.9158775870380 \tabularnewline
0.47 & 161.58842567418 & 17.1744553095754 \tabularnewline
0.48 & 164.493325827797 & 17.3498144261832 \tabularnewline
0.49 & 167.410676209176 & 17.4178741944198 \tabularnewline
0.5 & 170.323139841504 & 17.3600897627323 \tabularnewline
0.51 & 173.211098860353 & 17.1648580888247 \tabularnewline
0.52 & 176.053818325584 & 16.8306184888122 \tabularnewline
0.53 & 178.830726656059 & 16.3632753550628 \tabularnewline
0.54 & 181.522678945921 & 15.7768994280553 \tabularnewline
0.55 & 184.113084450649 & 15.0912748167517 \tabularnewline
0.56 & 186.588806144965 & 14.3312442249467 \tabularnewline
0.57 & 188.940771884702 & 13.5240257617271 \tabularnewline
0.58 & 191.164267624443 & 12.6977081190068 \tabularnewline
0.59 & 193.258909813802 & 11.8791273295089 \tabularnewline
0.6 & 195.228315675884 & 11.0923782755401 \tabularnewline
0.61 & 197.079507990331 & 10.3580830081530 \tabularnewline
0.62 & 198.822107774086 & 9.69145455126495 \tabularnewline
0.63 & 200.467385928197 & 9.10135283676911 \tabularnewline
0.64 & 202.027263689867 & 8.59014901613295 \tabularnewline
0.65 & 203.513369140411 & 8.1532333761192 \tabularnewline
0.66 & 204.936268105059 & 7.78078252594004 \tabularnewline
0.67 & 206.304986151703 & 7.45835599735766 \tabularnewline
0.68 & 207.626918048574 & 7.17109209651193 \tabularnewline
0.69 & 208.908178410773 & 6.90708530828848 \tabularnewline
0.7 & 210.154382991953 & 6.65908856603213 \tabularnewline
0.71 & 211.371770014141 & 6.42878681458415 \tabularnewline
0.72 & 212.568486146783 & 6.22728592742648 \tabularnewline
0.73 & 213.75578751469 & 6.07481935026503 \tabularnewline
0.74 & 214.948860019715 & 5.99901072853295 \tabularnewline
0.75 & 216.166962654566 & 6.02871002533075 \tabularnewline
0.76 & 217.432656388667 & 6.18658890870957 \tabularnewline
0.77 & 218.770006703410 & 6.48049428542982 \tabularnewline
0.78 & 220.201836129580 & 6.89622354214997 \tabularnewline
0.79 & 221.746335551307 & 7.39730606346133 \tabularnewline
0.8 & 223.413583233137 & 7.92729627248577 \tabularnewline
0.81 & 225.202714172029 & 8.4185495016347 \tabularnewline
0.82 & 227.100561697079 & 8.80112654589816 \tabularnewline
0.83 & 229.082488649566 & 9.01472700198984 \tabularnewline
0.84 & 231.115786070482 & 9.02054082680552 \tabularnewline
0.85 & 233.165439865607 & 8.81209351807587 \tabularnewline
0.86 & 235.201327544891 & 8.42097852867273 \tabularnewline
0.87 & 237.205190055102 & 7.9160194264024 \tabularnewline
0.88 & 239.175312513966 & 7.39283850776827 \tabularnewline
0.89 & 241.127076432278 & 6.95037002304507 \tabularnewline
0.9 & 243.088682224828 & 6.6559646285019 \tabularnewline
0.91 & 245.093418213531 & 6.5116965060638 \tabularnewline
0.92 & 247.172488258384 & 6.45020372457665 \tabularnewline
0.93 & 249.354593876468 & 6.37397932240829 \tabularnewline
0.94 & 251.678127350304 & 6.22178006415954 \tabularnewline
0.95 & 254.21498438052 & 6.0355126544679 \tabularnewline
0.96 & 257.085774248833 & 6.00736640241667 \tabularnewline
0.97 & 260.413977033284 & 6.45482350610761 \tabularnewline
0.98 & 264.150716072108 & 7.60115242890624 \tabularnewline
0.99 & 267.792304125951 & 9.21290242798875 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3080&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]87.6899840625316[/C][C]2.40681026766858[/C][/ROW]
[ROW][C]0.02[/C][C]88.7989297155198[/C][C]2.49683253060119[/C][/ROW]
[ROW][C]0.03[/C][C]90.0924396382962[/C][C]2.72173639016495[/C][/ROW]
[ROW][C]0.04[/C][C]91.4096072442639[/C][C]2.91613244469918[/C][/ROW]
[ROW][C]0.05[/C][C]92.6703090196053[/C][C]2.97583253195302[/C][/ROW]
[ROW][C]0.06[/C][C]93.8398594516336[/C][C]2.90870013496550[/C][/ROW]
[ROW][C]0.07[/C][C]94.9069166779668[/C][C]2.78386563127562[/C][/ROW]
[ROW][C]0.08[/C][C]95.8757141927317[/C][C]2.67517555249371[/C][/ROW]
[ROW][C]0.09[/C][C]96.7616292771326[/C][C]2.62559178027557[/C][/ROW]
[ROW][C]0.1[/C][C]97.5855949141487[/C][C]2.64020847831344[/C][/ROW]
[ROW][C]0.11[/C][C]98.3684632809563[/C][C]2.70107874684613[/C][/ROW]
[ROW][C]0.12[/C][C]99.1273158254465[/C][C]2.78634904132112[/C][/ROW]
[ROW][C]0.13[/C][C]99.8743697314717[/C][C]2.88206156999504[/C][/ROW]
[ROW][C]0.14[/C][C]100.617858281274[/C][C]2.98465614995195[/C][/ROW]
[ROW][C]0.15[/C][C]101.36381003951[/C][C]3.09911572247334[/C][/ROW]
[ROW][C]0.16[/C][C]102.117833132564[/C][C]3.23486551738055[/C][/ROW]
[ROW][C]0.17[/C][C]102.886422371949[/C][C]3.40447598711996[/C][/ROW]
[ROW][C]0.18[/C][C]103.677665794712[/C][C]3.62010814291113[/C][/ROW]
[ROW][C]0.19[/C][C]104.501430105338[/C][C]3.89324433205934[/C][/ROW]
[ROW][C]0.2[/C][C]105.369168453060[/C][C]4.23329449582076[/C][/ROW]
[ROW][C]0.21[/C][C]106.293480467831[/C][C]4.64638508069492[/C][/ROW]
[ROW][C]0.22[/C][C]107.287519034321[/C][C]5.13453511312871[/C][/ROW]
[ROW][C]0.23[/C][C]108.364311027023[/C][C]5.69548071142892[/C][/ROW]
[ROW][C]0.24[/C][C]109.536046937977[/C][C]6.32254041964524[/C][/ROW]
[ROW][C]0.25[/C][C]110.813391318588[/C][C]7.0057203536714[/C][/ROW]
[ROW][C]0.26[/C][C]112.204864410704[/C][C]7.73129366800512[/C][/ROW]
[ROW][C]0.27[/C][C]113.716340830943[/C][C]8.48363579001986[/C][/ROW]
[ROW][C]0.28[/C][C]115.350703344989[/C][C]9.24496522695802[/C][/ROW]
[ROW][C]0.29[/C][C]117.107680326722[/C][C]9.9974093241394[/C][/ROW]
[ROW][C]0.3[/C][C]118.983885823451[/C][C]10.7228257575536[/C][/ROW]
[ROW][C]0.31[/C][C]120.973071065546[/C][C]11.4052616248263[/C][/ROW]
[ROW][C]0.32[/C][C]123.066584246842[/C][C]12.0310756907553[/C][/ROW]
[ROW][C]0.33[/C][C]125.254019776580[/C][C]12.5912094080304[/C][/ROW]
[ROW][C]0.34[/C][C]127.524018457547[/C][C]13.0812120138578[/C][/ROW]
[ROW][C]0.35[/C][C]129.865157696908[/C][C]13.5027155025604[/C][/ROW]
[ROW][C]0.36[/C][C]132.266849495512[/C][C]13.8630694420645[/C][/ROW]
[ROW][C]0.37[/C][C]134.720148527601[/C][C]14.1745543185120[/C][/ROW]
[ROW][C]0.38[/C][C]137.218368181501[/C][C]14.4538634064816[/C][/ROW]
[ROW][C]0.39[/C][C]139.757412795279[/C][C]14.7189158958903[/C][/ROW]
[ROW][C]0.4[/C][C]142.335760850835[/C][C]14.9867840514416[/C][/ROW]
[ROW][C]0.41[/C][C]144.954074756806[/C][C]15.2717930914341[/C][/ROW]
[ROW][C]0.42[/C][C]147.614462953011[/C][C]15.5804701173531[/C][/ROW]
[ROW][C]0.43[/C][C]150.31947169145[/C][C]15.9131967284541[/C][/ROW]
[ROW][C]0.44[/C][C]153.070928010257[/C][C]16.2594058494412[/C][/ROW]
[ROW][C]0.45[/C][C]155.868783679432[/C][C]16.6016027552453[/C][/ROW]
[ROW][C]0.46[/C][C]158.710116248831[/C][C]16.9158775870380[/C][/ROW]
[ROW][C]0.47[/C][C]161.58842567418[/C][C]17.1744553095754[/C][/ROW]
[ROW][C]0.48[/C][C]164.493325827797[/C][C]17.3498144261832[/C][/ROW]
[ROW][C]0.49[/C][C]167.410676209176[/C][C]17.4178741944198[/C][/ROW]
[ROW][C]0.5[/C][C]170.323139841504[/C][C]17.3600897627323[/C][/ROW]
[ROW][C]0.51[/C][C]173.211098860353[/C][C]17.1648580888247[/C][/ROW]
[ROW][C]0.52[/C][C]176.053818325584[/C][C]16.8306184888122[/C][/ROW]
[ROW][C]0.53[/C][C]178.830726656059[/C][C]16.3632753550628[/C][/ROW]
[ROW][C]0.54[/C][C]181.522678945921[/C][C]15.7768994280553[/C][/ROW]
[ROW][C]0.55[/C][C]184.113084450649[/C][C]15.0912748167517[/C][/ROW]
[ROW][C]0.56[/C][C]186.588806144965[/C][C]14.3312442249467[/C][/ROW]
[ROW][C]0.57[/C][C]188.940771884702[/C][C]13.5240257617271[/C][/ROW]
[ROW][C]0.58[/C][C]191.164267624443[/C][C]12.6977081190068[/C][/ROW]
[ROW][C]0.59[/C][C]193.258909813802[/C][C]11.8791273295089[/C][/ROW]
[ROW][C]0.6[/C][C]195.228315675884[/C][C]11.0923782755401[/C][/ROW]
[ROW][C]0.61[/C][C]197.079507990331[/C][C]10.3580830081530[/C][/ROW]
[ROW][C]0.62[/C][C]198.822107774086[/C][C]9.69145455126495[/C][/ROW]
[ROW][C]0.63[/C][C]200.467385928197[/C][C]9.10135283676911[/C][/ROW]
[ROW][C]0.64[/C][C]202.027263689867[/C][C]8.59014901613295[/C][/ROW]
[ROW][C]0.65[/C][C]203.513369140411[/C][C]8.1532333761192[/C][/ROW]
[ROW][C]0.66[/C][C]204.936268105059[/C][C]7.78078252594004[/C][/ROW]
[ROW][C]0.67[/C][C]206.304986151703[/C][C]7.45835599735766[/C][/ROW]
[ROW][C]0.68[/C][C]207.626918048574[/C][C]7.17109209651193[/C][/ROW]
[ROW][C]0.69[/C][C]208.908178410773[/C][C]6.90708530828848[/C][/ROW]
[ROW][C]0.7[/C][C]210.154382991953[/C][C]6.65908856603213[/C][/ROW]
[ROW][C]0.71[/C][C]211.371770014141[/C][C]6.42878681458415[/C][/ROW]
[ROW][C]0.72[/C][C]212.568486146783[/C][C]6.22728592742648[/C][/ROW]
[ROW][C]0.73[/C][C]213.75578751469[/C][C]6.07481935026503[/C][/ROW]
[ROW][C]0.74[/C][C]214.948860019715[/C][C]5.99901072853295[/C][/ROW]
[ROW][C]0.75[/C][C]216.166962654566[/C][C]6.02871002533075[/C][/ROW]
[ROW][C]0.76[/C][C]217.432656388667[/C][C]6.18658890870957[/C][/ROW]
[ROW][C]0.77[/C][C]218.770006703410[/C][C]6.48049428542982[/C][/ROW]
[ROW][C]0.78[/C][C]220.201836129580[/C][C]6.89622354214997[/C][/ROW]
[ROW][C]0.79[/C][C]221.746335551307[/C][C]7.39730606346133[/C][/ROW]
[ROW][C]0.8[/C][C]223.413583233137[/C][C]7.92729627248577[/C][/ROW]
[ROW][C]0.81[/C][C]225.202714172029[/C][C]8.4185495016347[/C][/ROW]
[ROW][C]0.82[/C][C]227.100561697079[/C][C]8.80112654589816[/C][/ROW]
[ROW][C]0.83[/C][C]229.082488649566[/C][C]9.01472700198984[/C][/ROW]
[ROW][C]0.84[/C][C]231.115786070482[/C][C]9.02054082680552[/C][/ROW]
[ROW][C]0.85[/C][C]233.165439865607[/C][C]8.81209351807587[/C][/ROW]
[ROW][C]0.86[/C][C]235.201327544891[/C][C]8.42097852867273[/C][/ROW]
[ROW][C]0.87[/C][C]237.205190055102[/C][C]7.9160194264024[/C][/ROW]
[ROW][C]0.88[/C][C]239.175312513966[/C][C]7.39283850776827[/C][/ROW]
[ROW][C]0.89[/C][C]241.127076432278[/C][C]6.95037002304507[/C][/ROW]
[ROW][C]0.9[/C][C]243.088682224828[/C][C]6.6559646285019[/C][/ROW]
[ROW][C]0.91[/C][C]245.093418213531[/C][C]6.5116965060638[/C][/ROW]
[ROW][C]0.92[/C][C]247.172488258384[/C][C]6.45020372457665[/C][/ROW]
[ROW][C]0.93[/C][C]249.354593876468[/C][C]6.37397932240829[/C][/ROW]
[ROW][C]0.94[/C][C]251.678127350304[/C][C]6.22178006415954[/C][/ROW]
[ROW][C]0.95[/C][C]254.21498438052[/C][C]6.0355126544679[/C][/ROW]
[ROW][C]0.96[/C][C]257.085774248833[/C][C]6.00736640241667[/C][/ROW]
[ROW][C]0.97[/C][C]260.413977033284[/C][C]6.45482350610761[/C][/ROW]
[ROW][C]0.98[/C][C]264.150716072108[/C][C]7.60115242890624[/C][/ROW]
[ROW][C]0.99[/C][C]267.792304125951[/C][C]9.21290242798875[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3080&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3080&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
0.0187.68998406253162.40681026766858
0.0288.79892971551982.49683253060119
0.0390.09243963829622.72173639016495
0.0491.40960724426392.91613244469918
0.0592.67030901960532.97583253195302
0.0693.83985945163362.90870013496550
0.0794.90691667796682.78386563127562
0.0895.87571419273172.67517555249371
0.0996.76162927713262.62559178027557
0.197.58559491414872.64020847831344
0.1198.36846328095632.70107874684613
0.1299.12731582544652.78634904132112
0.1399.87436973147172.88206156999504
0.14100.6178582812742.98465614995195
0.15101.363810039513.09911572247334
0.16102.1178331325643.23486551738055
0.17102.8864223719493.40447598711996
0.18103.6776657947123.62010814291113
0.19104.5014301053383.89324433205934
0.2105.3691684530604.23329449582076
0.21106.2934804678314.64638508069492
0.22107.2875190343215.13453511312871
0.23108.3643110270235.69548071142892
0.24109.5360469379776.32254041964524
0.25110.8133913185887.0057203536714
0.26112.2048644107047.73129366800512
0.27113.7163408309438.48363579001986
0.28115.3507033449899.24496522695802
0.29117.1076803267229.9974093241394
0.3118.98388582345110.7228257575536
0.31120.97307106554611.4052616248263
0.32123.06658424684212.0310756907553
0.33125.25401977658012.5912094080304
0.34127.52401845754713.0812120138578
0.35129.86515769690813.5027155025604
0.36132.26684949551213.8630694420645
0.37134.72014852760114.1745543185120
0.38137.21836818150114.4538634064816
0.39139.75741279527914.7189158958903
0.4142.33576085083514.9867840514416
0.41144.95407475680615.2717930914341
0.42147.61446295301115.5804701173531
0.43150.3194716914515.9131967284541
0.44153.07092801025716.2594058494412
0.45155.86878367943216.6016027552453
0.46158.71011624883116.9158775870380
0.47161.5884256741817.1744553095754
0.48164.49332582779717.3498144261832
0.49167.41067620917617.4178741944198
0.5170.32313984150417.3600897627323
0.51173.21109886035317.1648580888247
0.52176.05381832558416.8306184888122
0.53178.83072665605916.3632753550628
0.54181.52267894592115.7768994280553
0.55184.11308445064915.0912748167517
0.56186.58880614496514.3312442249467
0.57188.94077188470213.5240257617271
0.58191.16426762444312.6977081190068
0.59193.25890981380211.8791273295089
0.6195.22831567588411.0923782755401
0.61197.07950799033110.3580830081530
0.62198.8221077740869.69145455126495
0.63200.4673859281979.10135283676911
0.64202.0272636898678.59014901613295
0.65203.5133691404118.1532333761192
0.66204.9362681050597.78078252594004
0.67206.3049861517037.45835599735766
0.68207.6269180485747.17109209651193
0.69208.9081784107736.90708530828848
0.7210.1543829919536.65908856603213
0.71211.3717700141416.42878681458415
0.72212.5684861467836.22728592742648
0.73213.755787514696.07481935026503
0.74214.9488600197155.99901072853295
0.75216.1669626545666.02871002533075
0.76217.4326563886676.18658890870957
0.77218.7700067034106.48049428542982
0.78220.2018361295806.89622354214997
0.79221.7463355513077.39730606346133
0.8223.4135832331377.92729627248577
0.81225.2027141720298.4185495016347
0.82227.1005616970798.80112654589816
0.83229.0824886495669.01472700198984
0.84231.1157860704829.02054082680552
0.85233.1654398656078.81209351807587
0.86235.2013275448918.42097852867273
0.87237.2051900551027.9160194264024
0.88239.1753125139667.39283850776827
0.89241.1270764322786.95037002304507
0.9243.0886822248286.6559646285019
0.91245.0934182135316.5116965060638
0.92247.1724882583846.45020372457665
0.93249.3545938764686.37397932240829
0.94251.6781273503046.22178006415954
0.95254.214984380526.0355126544679
0.96257.0857742488336.00736640241667
0.97260.4139770332846.45482350610761
0.98264.1507160721087.60115242890624
0.99267.7923041259519.21290242798875


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')