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, 08 Mar 2017 20:29:25 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Mar/08/t1489005057bkcdyv2zcx5zwb7.htm/, Retrieved Wed, 15 May 2024 12:08:15 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Wed, 15 May 2024 12:08:15 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
97,91	
98,51	
98,54	
98,52	
98,66	
98,53	
98,71	
98,92	
98,96	
99,25	
99,32	
99,41	
99,36	
99,58	
99,77	
99,77	
100,03	
100,2	
100,24	
100,1	
100,03	
100,18	
100,29	
100,41	
100,6	
100,75	
100,79	
100,44	
100,29	
100,34	
100,46	
100,12	
100,06	
100,28	
100,28	
100,4	
100,61	
100,89	
100,73	
101,12	
101,16	
101,33	
101,37	
101,61	
101,85	
102,27	
102,28	
102,23	
102,42	
102,53	
103,47	
103,53	
103,77	
103,74	
103,93	
103,97	
103,68	
103,86	
103,97	
104,05

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0198.03017266239390.477755512167727
0.0298.18949268087830.329955702344795
0.0398.33172095723180.202729915972756
0.0498.43472582355790.122642881718461
0.0598.50355757198090.0932983783490341
0.0698.55277291037630.10208857175481
0.0798.59531101446030.12819267988937
0.0898.6392022123670.160037956592912
0.0998.68820622643970.192518957907135
0.198.74335860907990.222596550410351
0.1198.80422393564950.248654492026457
0.1298.86967908465450.269596440211023
0.1398.93836321790460.285067658372868
0.1499.00893759914560.29538727945391
0.1599.08023794085030.301493251666005
0.1699.15135529471820.304426490073105
0.1799.22165939477550.305474500228503
0.1899.29077325760840.305735474965868
0.1999.35851098718060.305737451194409
0.299.42479554168140.305601224220376
0.2199.48957556443110.305004091583974
0.2299.55275853297840.303176202050305
0.2399.61417181779630.299537162929685
0.2499.67355553968420.293219351906407
0.2599.73058360687040.284303116217905
0.2699.78490384731780.272528422860043
0.2799.83618569208240.258356052099802
0.2899.88416440172440.24245775168523
0.2999.92867360823430.225306299416407
0.399.96966185845540.207906207074301
0.31100.0071927911610.190861992326608
0.32100.0414317267760.174893824717988
0.33100.072623346280.160213923248259
0.34100.101065706780.147292894926046
0.35100.1270852935560.136009609973961
0.36100.1510165161770.126528330943458
0.37100.1731874435170.118609083961977
0.38100.193912020130.112285101148654
0.39100.2134877921670.107423316322833
0.4100.2321974424060.103900624633309
0.41100.2503122114560.101815450736525
0.42100.2680954847780.101225161230301
0.43100.2858053094430.102038154777584
0.44100.3036952075930.104383007384771
0.45100.3220132303030.108141666235339
0.46100.3409996439060.113247193914791
0.47100.3608839116050.119709132867479
0.48100.3818817252170.127344873719338
0.49100.4041927870460.136003770545778
0.5100.4279998862420.145578530404966
0.51100.453469601930.155962093447801
0.52100.4807547302660.166992993288223
0.53100.5099982969240.17859131130113
0.54100.5413387968870.190950542949211
0.55100.5749161174240.203777270719781
0.56100.6108774688090.217439547624749
0.57100.649382590850.231780780048357
0.58100.69060753190.246915969496254
0.59100.7347464006960.263164256292532
0.6100.7820106382290.280352115664249
0.61100.8326255029340.298577234643824
0.62100.886823575660.317871175971235
0.63100.9448351797530.338321814886359
0.64101.0068757454130.359523953345041
0.65101.0731304500180.381334480862324
0.66101.1437370717880.403559817633675
0.67101.2187689676810.425494410159897
0.68101.2982213271380.446872484351345
0.69101.3820050231240.466975245644137
0.7101.4699529052640.485177111805688
0.71101.5618425574040.501125618846491
0.72101.6574367873930.514384993631369
0.73101.7565382808090.525361198497531
0.74101.8590485321970.534433176340666
0.75101.9650148769640.542848489561196
0.76102.0746454676760.551826714936553
0.77102.1882728995660.562602413603782
0.78102.3062547847310.575836932479531
0.79102.4288141267090.59091257460267
0.8102.5558416036620.605924934691647
0.81102.6867009622690.617670183649898
0.82102.8200910570120.62224422313967
0.83102.9540172429630.615816405126351
0.84103.0859071939320.595473895634098
0.85103.212873141070.560238141295072
0.86103.3320813229170.511250162487664
0.87103.4411521440740.451775568553043
0.88103.5384945239510.386672767994217
0.89103.6234852838160.321425499243767
0.9103.696441952520.261036504660318
0.91103.7583987245420.208945324197399
0.92103.8107659448450.166386775659675
0.93103.8550124336220.132378953753565
0.94103.8925278947390.10462619145164
0.95103.9247545474180.0811685621217321
0.96103.9534655234150.0621298916573232
0.97103.9807133049080.05119466371313
0.98104.0077417942370.0534410445881184
0.99104.0327980652230.0661541279538387

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 98.0301726623939 & 0.477755512167727 \tabularnewline
0.02 & 98.1894926808783 & 0.329955702344795 \tabularnewline
0.03 & 98.3317209572318 & 0.202729915972756 \tabularnewline
0.04 & 98.4347258235579 & 0.122642881718461 \tabularnewline
0.05 & 98.5035575719809 & 0.0932983783490341 \tabularnewline
0.06 & 98.5527729103763 & 0.10208857175481 \tabularnewline
0.07 & 98.5953110144603 & 0.12819267988937 \tabularnewline
0.08 & 98.639202212367 & 0.160037956592912 \tabularnewline
0.09 & 98.6882062264397 & 0.192518957907135 \tabularnewline
0.1 & 98.7433586090799 & 0.222596550410351 \tabularnewline
0.11 & 98.8042239356495 & 0.248654492026457 \tabularnewline
0.12 & 98.8696790846545 & 0.269596440211023 \tabularnewline
0.13 & 98.9383632179046 & 0.285067658372868 \tabularnewline
0.14 & 99.0089375991456 & 0.29538727945391 \tabularnewline
0.15 & 99.0802379408503 & 0.301493251666005 \tabularnewline
0.16 & 99.1513552947182 & 0.304426490073105 \tabularnewline
0.17 & 99.2216593947755 & 0.305474500228503 \tabularnewline
0.18 & 99.2907732576084 & 0.305735474965868 \tabularnewline
0.19 & 99.3585109871806 & 0.305737451194409 \tabularnewline
0.2 & 99.4247955416814 & 0.305601224220376 \tabularnewline
0.21 & 99.4895755644311 & 0.305004091583974 \tabularnewline
0.22 & 99.5527585329784 & 0.303176202050305 \tabularnewline
0.23 & 99.6141718177963 & 0.299537162929685 \tabularnewline
0.24 & 99.6735555396842 & 0.293219351906407 \tabularnewline
0.25 & 99.7305836068704 & 0.284303116217905 \tabularnewline
0.26 & 99.7849038473178 & 0.272528422860043 \tabularnewline
0.27 & 99.8361856920824 & 0.258356052099802 \tabularnewline
0.28 & 99.8841644017244 & 0.24245775168523 \tabularnewline
0.29 & 99.9286736082343 & 0.225306299416407 \tabularnewline
0.3 & 99.9696618584554 & 0.207906207074301 \tabularnewline
0.31 & 100.007192791161 & 0.190861992326608 \tabularnewline
0.32 & 100.041431726776 & 0.174893824717988 \tabularnewline
0.33 & 100.07262334628 & 0.160213923248259 \tabularnewline
0.34 & 100.10106570678 & 0.147292894926046 \tabularnewline
0.35 & 100.127085293556 & 0.136009609973961 \tabularnewline
0.36 & 100.151016516177 & 0.126528330943458 \tabularnewline
0.37 & 100.173187443517 & 0.118609083961977 \tabularnewline
0.38 & 100.19391202013 & 0.112285101148654 \tabularnewline
0.39 & 100.213487792167 & 0.107423316322833 \tabularnewline
0.4 & 100.232197442406 & 0.103900624633309 \tabularnewline
0.41 & 100.250312211456 & 0.101815450736525 \tabularnewline
0.42 & 100.268095484778 & 0.101225161230301 \tabularnewline
0.43 & 100.285805309443 & 0.102038154777584 \tabularnewline
0.44 & 100.303695207593 & 0.104383007384771 \tabularnewline
0.45 & 100.322013230303 & 0.108141666235339 \tabularnewline
0.46 & 100.340999643906 & 0.113247193914791 \tabularnewline
0.47 & 100.360883911605 & 0.119709132867479 \tabularnewline
0.48 & 100.381881725217 & 0.127344873719338 \tabularnewline
0.49 & 100.404192787046 & 0.136003770545778 \tabularnewline
0.5 & 100.427999886242 & 0.145578530404966 \tabularnewline
0.51 & 100.45346960193 & 0.155962093447801 \tabularnewline
0.52 & 100.480754730266 & 0.166992993288223 \tabularnewline
0.53 & 100.509998296924 & 0.17859131130113 \tabularnewline
0.54 & 100.541338796887 & 0.190950542949211 \tabularnewline
0.55 & 100.574916117424 & 0.203777270719781 \tabularnewline
0.56 & 100.610877468809 & 0.217439547624749 \tabularnewline
0.57 & 100.64938259085 & 0.231780780048357 \tabularnewline
0.58 & 100.6906075319 & 0.246915969496254 \tabularnewline
0.59 & 100.734746400696 & 0.263164256292532 \tabularnewline
0.6 & 100.782010638229 & 0.280352115664249 \tabularnewline
0.61 & 100.832625502934 & 0.298577234643824 \tabularnewline
0.62 & 100.88682357566 & 0.317871175971235 \tabularnewline
0.63 & 100.944835179753 & 0.338321814886359 \tabularnewline
0.64 & 101.006875745413 & 0.359523953345041 \tabularnewline
0.65 & 101.073130450018 & 0.381334480862324 \tabularnewline
0.66 & 101.143737071788 & 0.403559817633675 \tabularnewline
0.67 & 101.218768967681 & 0.425494410159897 \tabularnewline
0.68 & 101.298221327138 & 0.446872484351345 \tabularnewline
0.69 & 101.382005023124 & 0.466975245644137 \tabularnewline
0.7 & 101.469952905264 & 0.485177111805688 \tabularnewline
0.71 & 101.561842557404 & 0.501125618846491 \tabularnewline
0.72 & 101.657436787393 & 0.514384993631369 \tabularnewline
0.73 & 101.756538280809 & 0.525361198497531 \tabularnewline
0.74 & 101.859048532197 & 0.534433176340666 \tabularnewline
0.75 & 101.965014876964 & 0.542848489561196 \tabularnewline
0.76 & 102.074645467676 & 0.551826714936553 \tabularnewline
0.77 & 102.188272899566 & 0.562602413603782 \tabularnewline
0.78 & 102.306254784731 & 0.575836932479531 \tabularnewline
0.79 & 102.428814126709 & 0.59091257460267 \tabularnewline
0.8 & 102.555841603662 & 0.605924934691647 \tabularnewline
0.81 & 102.686700962269 & 0.617670183649898 \tabularnewline
0.82 & 102.820091057012 & 0.62224422313967 \tabularnewline
0.83 & 102.954017242963 & 0.615816405126351 \tabularnewline
0.84 & 103.085907193932 & 0.595473895634098 \tabularnewline
0.85 & 103.21287314107 & 0.560238141295072 \tabularnewline
0.86 & 103.332081322917 & 0.511250162487664 \tabularnewline
0.87 & 103.441152144074 & 0.451775568553043 \tabularnewline
0.88 & 103.538494523951 & 0.386672767994217 \tabularnewline
0.89 & 103.623485283816 & 0.321425499243767 \tabularnewline
0.9 & 103.69644195252 & 0.261036504660318 \tabularnewline
0.91 & 103.758398724542 & 0.208945324197399 \tabularnewline
0.92 & 103.810765944845 & 0.166386775659675 \tabularnewline
0.93 & 103.855012433622 & 0.132378953753565 \tabularnewline
0.94 & 103.892527894739 & 0.10462619145164 \tabularnewline
0.95 & 103.924754547418 & 0.0811685621217321 \tabularnewline
0.96 & 103.953465523415 & 0.0621298916573232 \tabularnewline
0.97 & 103.980713304908 & 0.05119466371313 \tabularnewline
0.98 & 104.007741794237 & 0.0534410445881184 \tabularnewline
0.99 & 104.032798065223 & 0.0661541279538387 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]98.0301726623939[/C][C]0.477755512167727[/C][/ROW]
[ROW][C]0.02[/C][C]98.1894926808783[/C][C]0.329955702344795[/C][/ROW]
[ROW][C]0.03[/C][C]98.3317209572318[/C][C]0.202729915972756[/C][/ROW]
[ROW][C]0.04[/C][C]98.4347258235579[/C][C]0.122642881718461[/C][/ROW]
[ROW][C]0.05[/C][C]98.5035575719809[/C][C]0.0932983783490341[/C][/ROW]
[ROW][C]0.06[/C][C]98.5527729103763[/C][C]0.10208857175481[/C][/ROW]
[ROW][C]0.07[/C][C]98.5953110144603[/C][C]0.12819267988937[/C][/ROW]
[ROW][C]0.08[/C][C]98.639202212367[/C][C]0.160037956592912[/C][/ROW]
[ROW][C]0.09[/C][C]98.6882062264397[/C][C]0.192518957907135[/C][/ROW]
[ROW][C]0.1[/C][C]98.7433586090799[/C][C]0.222596550410351[/C][/ROW]
[ROW][C]0.11[/C][C]98.8042239356495[/C][C]0.248654492026457[/C][/ROW]
[ROW][C]0.12[/C][C]98.8696790846545[/C][C]0.269596440211023[/C][/ROW]
[ROW][C]0.13[/C][C]98.9383632179046[/C][C]0.285067658372868[/C][/ROW]
[ROW][C]0.14[/C][C]99.0089375991456[/C][C]0.29538727945391[/C][/ROW]
[ROW][C]0.15[/C][C]99.0802379408503[/C][C]0.301493251666005[/C][/ROW]
[ROW][C]0.16[/C][C]99.1513552947182[/C][C]0.304426490073105[/C][/ROW]
[ROW][C]0.17[/C][C]99.2216593947755[/C][C]0.305474500228503[/C][/ROW]
[ROW][C]0.18[/C][C]99.2907732576084[/C][C]0.305735474965868[/C][/ROW]
[ROW][C]0.19[/C][C]99.3585109871806[/C][C]0.305737451194409[/C][/ROW]
[ROW][C]0.2[/C][C]99.4247955416814[/C][C]0.305601224220376[/C][/ROW]
[ROW][C]0.21[/C][C]99.4895755644311[/C][C]0.305004091583974[/C][/ROW]
[ROW][C]0.22[/C][C]99.5527585329784[/C][C]0.303176202050305[/C][/ROW]
[ROW][C]0.23[/C][C]99.6141718177963[/C][C]0.299537162929685[/C][/ROW]
[ROW][C]0.24[/C][C]99.6735555396842[/C][C]0.293219351906407[/C][/ROW]
[ROW][C]0.25[/C][C]99.7305836068704[/C][C]0.284303116217905[/C][/ROW]
[ROW][C]0.26[/C][C]99.7849038473178[/C][C]0.272528422860043[/C][/ROW]
[ROW][C]0.27[/C][C]99.8361856920824[/C][C]0.258356052099802[/C][/ROW]
[ROW][C]0.28[/C][C]99.8841644017244[/C][C]0.24245775168523[/C][/ROW]
[ROW][C]0.29[/C][C]99.9286736082343[/C][C]0.225306299416407[/C][/ROW]
[ROW][C]0.3[/C][C]99.9696618584554[/C][C]0.207906207074301[/C][/ROW]
[ROW][C]0.31[/C][C]100.007192791161[/C][C]0.190861992326608[/C][/ROW]
[ROW][C]0.32[/C][C]100.041431726776[/C][C]0.174893824717988[/C][/ROW]
[ROW][C]0.33[/C][C]100.07262334628[/C][C]0.160213923248259[/C][/ROW]
[ROW][C]0.34[/C][C]100.10106570678[/C][C]0.147292894926046[/C][/ROW]
[ROW][C]0.35[/C][C]100.127085293556[/C][C]0.136009609973961[/C][/ROW]
[ROW][C]0.36[/C][C]100.151016516177[/C][C]0.126528330943458[/C][/ROW]
[ROW][C]0.37[/C][C]100.173187443517[/C][C]0.118609083961977[/C][/ROW]
[ROW][C]0.38[/C][C]100.19391202013[/C][C]0.112285101148654[/C][/ROW]
[ROW][C]0.39[/C][C]100.213487792167[/C][C]0.107423316322833[/C][/ROW]
[ROW][C]0.4[/C][C]100.232197442406[/C][C]0.103900624633309[/C][/ROW]
[ROW][C]0.41[/C][C]100.250312211456[/C][C]0.101815450736525[/C][/ROW]
[ROW][C]0.42[/C][C]100.268095484778[/C][C]0.101225161230301[/C][/ROW]
[ROW][C]0.43[/C][C]100.285805309443[/C][C]0.102038154777584[/C][/ROW]
[ROW][C]0.44[/C][C]100.303695207593[/C][C]0.104383007384771[/C][/ROW]
[ROW][C]0.45[/C][C]100.322013230303[/C][C]0.108141666235339[/C][/ROW]
[ROW][C]0.46[/C][C]100.340999643906[/C][C]0.113247193914791[/C][/ROW]
[ROW][C]0.47[/C][C]100.360883911605[/C][C]0.119709132867479[/C][/ROW]
[ROW][C]0.48[/C][C]100.381881725217[/C][C]0.127344873719338[/C][/ROW]
[ROW][C]0.49[/C][C]100.404192787046[/C][C]0.136003770545778[/C][/ROW]
[ROW][C]0.5[/C][C]100.427999886242[/C][C]0.145578530404966[/C][/ROW]
[ROW][C]0.51[/C][C]100.45346960193[/C][C]0.155962093447801[/C][/ROW]
[ROW][C]0.52[/C][C]100.480754730266[/C][C]0.166992993288223[/C][/ROW]
[ROW][C]0.53[/C][C]100.509998296924[/C][C]0.17859131130113[/C][/ROW]
[ROW][C]0.54[/C][C]100.541338796887[/C][C]0.190950542949211[/C][/ROW]
[ROW][C]0.55[/C][C]100.574916117424[/C][C]0.203777270719781[/C][/ROW]
[ROW][C]0.56[/C][C]100.610877468809[/C][C]0.217439547624749[/C][/ROW]
[ROW][C]0.57[/C][C]100.64938259085[/C][C]0.231780780048357[/C][/ROW]
[ROW][C]0.58[/C][C]100.6906075319[/C][C]0.246915969496254[/C][/ROW]
[ROW][C]0.59[/C][C]100.734746400696[/C][C]0.263164256292532[/C][/ROW]
[ROW][C]0.6[/C][C]100.782010638229[/C][C]0.280352115664249[/C][/ROW]
[ROW][C]0.61[/C][C]100.832625502934[/C][C]0.298577234643824[/C][/ROW]
[ROW][C]0.62[/C][C]100.88682357566[/C][C]0.317871175971235[/C][/ROW]
[ROW][C]0.63[/C][C]100.944835179753[/C][C]0.338321814886359[/C][/ROW]
[ROW][C]0.64[/C][C]101.006875745413[/C][C]0.359523953345041[/C][/ROW]
[ROW][C]0.65[/C][C]101.073130450018[/C][C]0.381334480862324[/C][/ROW]
[ROW][C]0.66[/C][C]101.143737071788[/C][C]0.403559817633675[/C][/ROW]
[ROW][C]0.67[/C][C]101.218768967681[/C][C]0.425494410159897[/C][/ROW]
[ROW][C]0.68[/C][C]101.298221327138[/C][C]0.446872484351345[/C][/ROW]
[ROW][C]0.69[/C][C]101.382005023124[/C][C]0.466975245644137[/C][/ROW]
[ROW][C]0.7[/C][C]101.469952905264[/C][C]0.485177111805688[/C][/ROW]
[ROW][C]0.71[/C][C]101.561842557404[/C][C]0.501125618846491[/C][/ROW]
[ROW][C]0.72[/C][C]101.657436787393[/C][C]0.514384993631369[/C][/ROW]
[ROW][C]0.73[/C][C]101.756538280809[/C][C]0.525361198497531[/C][/ROW]
[ROW][C]0.74[/C][C]101.859048532197[/C][C]0.534433176340666[/C][/ROW]
[ROW][C]0.75[/C][C]101.965014876964[/C][C]0.542848489561196[/C][/ROW]
[ROW][C]0.76[/C][C]102.074645467676[/C][C]0.551826714936553[/C][/ROW]
[ROW][C]0.77[/C][C]102.188272899566[/C][C]0.562602413603782[/C][/ROW]
[ROW][C]0.78[/C][C]102.306254784731[/C][C]0.575836932479531[/C][/ROW]
[ROW][C]0.79[/C][C]102.428814126709[/C][C]0.59091257460267[/C][/ROW]
[ROW][C]0.8[/C][C]102.555841603662[/C][C]0.605924934691647[/C][/ROW]
[ROW][C]0.81[/C][C]102.686700962269[/C][C]0.617670183649898[/C][/ROW]
[ROW][C]0.82[/C][C]102.820091057012[/C][C]0.62224422313967[/C][/ROW]
[ROW][C]0.83[/C][C]102.954017242963[/C][C]0.615816405126351[/C][/ROW]
[ROW][C]0.84[/C][C]103.085907193932[/C][C]0.595473895634098[/C][/ROW]
[ROW][C]0.85[/C][C]103.21287314107[/C][C]0.560238141295072[/C][/ROW]
[ROW][C]0.86[/C][C]103.332081322917[/C][C]0.511250162487664[/C][/ROW]
[ROW][C]0.87[/C][C]103.441152144074[/C][C]0.451775568553043[/C][/ROW]
[ROW][C]0.88[/C][C]103.538494523951[/C][C]0.386672767994217[/C][/ROW]
[ROW][C]0.89[/C][C]103.623485283816[/C][C]0.321425499243767[/C][/ROW]
[ROW][C]0.9[/C][C]103.69644195252[/C][C]0.261036504660318[/C][/ROW]
[ROW][C]0.91[/C][C]103.758398724542[/C][C]0.208945324197399[/C][/ROW]
[ROW][C]0.92[/C][C]103.810765944845[/C][C]0.166386775659675[/C][/ROW]
[ROW][C]0.93[/C][C]103.855012433622[/C][C]0.132378953753565[/C][/ROW]
[ROW][C]0.94[/C][C]103.892527894739[/C][C]0.10462619145164[/C][/ROW]
[ROW][C]0.95[/C][C]103.924754547418[/C][C]0.0811685621217321[/C][/ROW]
[ROW][C]0.96[/C][C]103.953465523415[/C][C]0.0621298916573232[/C][/ROW]
[ROW][C]0.97[/C][C]103.980713304908[/C][C]0.05119466371313[/C][/ROW]
[ROW][C]0.98[/C][C]104.007741794237[/C][C]0.0534410445881184[/C][/ROW]
[ROW][C]0.99[/C][C]104.032798065223[/C][C]0.0661541279538387[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0198.03017266239390.477755512167727
0.0298.18949268087830.329955702344795
0.0398.33172095723180.202729915972756
0.0498.43472582355790.122642881718461
0.0598.50355757198090.0932983783490341
0.0698.55277291037630.10208857175481
0.0798.59531101446030.12819267988937
0.0898.6392022123670.160037956592912
0.0998.68820622643970.192518957907135
0.198.74335860907990.222596550410351
0.1198.80422393564950.248654492026457
0.1298.86967908465450.269596440211023
0.1398.93836321790460.285067658372868
0.1499.00893759914560.29538727945391
0.1599.08023794085030.301493251666005
0.1699.15135529471820.304426490073105
0.1799.22165939477550.305474500228503
0.1899.29077325760840.305735474965868
0.1999.35851098718060.305737451194409
0.299.42479554168140.305601224220376
0.2199.48957556443110.305004091583974
0.2299.55275853297840.303176202050305
0.2399.61417181779630.299537162929685
0.2499.67355553968420.293219351906407
0.2599.73058360687040.284303116217905
0.2699.78490384731780.272528422860043
0.2799.83618569208240.258356052099802
0.2899.88416440172440.24245775168523
0.2999.92867360823430.225306299416407
0.399.96966185845540.207906207074301
0.31100.0071927911610.190861992326608
0.32100.0414317267760.174893824717988
0.33100.072623346280.160213923248259
0.34100.101065706780.147292894926046
0.35100.1270852935560.136009609973961
0.36100.1510165161770.126528330943458
0.37100.1731874435170.118609083961977
0.38100.193912020130.112285101148654
0.39100.2134877921670.107423316322833
0.4100.2321974424060.103900624633309
0.41100.2503122114560.101815450736525
0.42100.2680954847780.101225161230301
0.43100.2858053094430.102038154777584
0.44100.3036952075930.104383007384771
0.45100.3220132303030.108141666235339
0.46100.3409996439060.113247193914791
0.47100.3608839116050.119709132867479
0.48100.3818817252170.127344873719338
0.49100.4041927870460.136003770545778
0.5100.4279998862420.145578530404966
0.51100.453469601930.155962093447801
0.52100.4807547302660.166992993288223
0.53100.5099982969240.17859131130113
0.54100.5413387968870.190950542949211
0.55100.5749161174240.203777270719781
0.56100.6108774688090.217439547624749
0.57100.649382590850.231780780048357
0.58100.69060753190.246915969496254
0.59100.7347464006960.263164256292532
0.6100.7820106382290.280352115664249
0.61100.8326255029340.298577234643824
0.62100.886823575660.317871175971235
0.63100.9448351797530.338321814886359
0.64101.0068757454130.359523953345041
0.65101.0731304500180.381334480862324
0.66101.1437370717880.403559817633675
0.67101.2187689676810.425494410159897
0.68101.2982213271380.446872484351345
0.69101.3820050231240.466975245644137
0.7101.4699529052640.485177111805688
0.71101.5618425574040.501125618846491
0.72101.6574367873930.514384993631369
0.73101.7565382808090.525361198497531
0.74101.8590485321970.534433176340666
0.75101.9650148769640.542848489561196
0.76102.0746454676760.551826714936553
0.77102.1882728995660.562602413603782
0.78102.3062547847310.575836932479531
0.79102.4288141267090.59091257460267
0.8102.5558416036620.605924934691647
0.81102.6867009622690.617670183649898
0.82102.8200910570120.62224422313967
0.83102.9540172429630.615816405126351
0.84103.0859071939320.595473895634098
0.85103.212873141070.560238141295072
0.86103.3320813229170.511250162487664
0.87103.4411521440740.451775568553043
0.88103.5384945239510.386672767994217
0.89103.6234852838160.321425499243767
0.9103.696441952520.261036504660318
0.91103.7583987245420.208945324197399
0.92103.8107659448450.166386775659675
0.93103.8550124336220.132378953753565
0.94103.8925278947390.10462619145164
0.95103.9247545474180.0811685621217321
0.96103.9534655234150.0621298916573232
0.97103.9807133049080.05119466371313
0.98104.0077417942370.0534410445881184
0.99104.0327980652230.0661541279538387


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')