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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 04 Oct 2016 12:04:40 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Oct/04/t14755791909z3qdu5v8wnu17g.htm/, Retrieved Fri, 17 May 2024 20:00:23 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Fri, 17 May 2024 20:00:23 +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 
91.19
95.06
95.61
97.13
95.44
94.65
93.46
92.19
93.49
92.73
91.4
92.16
91.34
93.72
94.45
96.57
96.12
97.2
94.49
94.31
97.76
99.24
97.43
100.64
99.82
102.97
102.94
105.34
107.18
105.79
102.39
101.25
101.79
100.11
96.86
96.97
97.7
98.27
101.29
101.73
99.56
98.82
95.13
96.23
97.27
96.17
97.07
96.37
95.71
98.19
97.94
99.97
100.09
99.49
98.91
102.04
102.04
102.73
101.34
101.56

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0191.23867861297880.166318419892703
0.0291.33002718947830.240093756725517
0.0391.46001360747710.355017198838025
0.0491.62376815272650.473187300417579
0.0591.815202125260.571679845147524
0.0692.02668444481940.64535620922156
0.0792.2501664163880.69794947081702
0.0892.47851748948960.733602433798037
0.0992.70613761079460.754093607692815
0.192.92890121230820.760362495626528
0.1193.14387630574370.754333012465984
0.1293.34910930094360.738962511717854
0.1393.54351294314160.718362484098317
0.1493.72677902427170.69576565731734
0.1593.89925386611940.673699674714113
0.1694.06177138905510.653798639527661
0.1794.21547269344210.63712414226303
0.1894.36164180937910.624299145159219
0.1994.50157199946560.61574100276007
0.294.6364636836070.610877686592833
0.2194.76735046601240.608935397399297
0.2294.89505131483460.609032944976096
0.2395.02014931709790.609752363846095
0.2495.14299724594020.610146485221474
0.2595.26374726994730.609269031953781
0.2695.38239831697990.606690048366846
0.2795.49885189279180.602235385393043
0.2895.61296664596630.596055595894763
0.2995.72460363974870.588533836715311
0.395.83365737635590.57989151103951
0.3195.94007115016840.570562814654105
0.3296.0438384762260.561167971364238
0.3396.14499464476930.55169439247828
0.3496.24360366329580.542300661689547
0.3596.33974593591880.53309025186427
0.3696.43351110835610.523776326882159
0.3796.52499880782180.514534173228615
0.3896.61432787141380.505309668016667
0.3996.70165250208440.496514400680016
0.496.78718204511730.488358027996842
0.4196.87120008545460.48185178144528
0.4296.95407850541790.477207458222329
0.4397.03628297791740.475693188275292
0.4497.11836786453940.477638419345946
0.4597.20096026905010.48364014802942
0.4697.28473466197720.49398453084177
0.4797.37038071336650.508658631947529
0.4897.45856757368190.527191123042862
0.4997.54990783285960.549080873936845
0.597.64492392512820.573813279067675
0.5197.74401907974230.600180215468043
0.5297.84745429365880.627348357075743
0.5397.95533239355460.65440849609736
0.5498.06759011016260.68018199573881
0.5598.18399912724550.703668281692468
0.5698.30417711468770.724020615196525
0.5798.42760959896860.740307211219547
0.5898.55368298638040.752128791338308
0.5998.68172804705430.759009719972987
0.698.81107172839810.761204838983823
0.6198.9410934637270.758925379890958
0.6299.0712804574790.753256691800651
0.6399.20127511971370.745106733497185
0.6499.33090727142370.73593445898353
0.6599.46020429242650.727162199397041
0.6699.5893742667950.720069818446089
0.6799.71876043265580.715576230166618
0.6899.84876962322040.714141811298461
0.6999.97978232682330.71543793298899
0.7100.112056617610.718475787944773
0.71100.2456414440630.721633713960116
0.72100.3803155738710.722909686951536
0.73100.5155661874610.720270442435208
0.74100.6506156392560.711974985834487
0.75100.7844970370210.696996387556086
0.76100.9161705598170.675053803124463
0.77101.0446648019220.646806427915926
0.78101.169222721780.6138817312632
0.79101.2894311158950.578431601542946
0.8101.4053160254910.543182113132088
0.81101.5173933572780.510853027761294
0.82101.626673345040.483810802121803
0.83101.7346291693370.464067224580249
0.84101.8431551651070.453006231408796
0.85101.9545596364750.451117950120297
0.86102.0716585600870.45864040581475
0.87102.1980466172690.475867811095281
0.88102.3385934800970.504841187024069
0.89102.5001087054960.550620232129458
0.9102.6919177396590.622443732661168
0.91102.9258462714490.730688561431662
0.92103.2150037931720.878967161033258
0.93103.5710841967061.0540377312551
0.94104.0008243476091.2208482542908
0.95104.5032757165431.33013780137181
0.96105.0690288824281.34391441861085
0.97105.6787197128951.27596886277566
0.98106.2932597923771.21756243400248
0.99106.8338396152021.26388213332406

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 91.2386786129788 & 0.166318419892703 \tabularnewline
0.02 & 91.3300271894783 & 0.240093756725517 \tabularnewline
0.03 & 91.4600136074771 & 0.355017198838025 \tabularnewline
0.04 & 91.6237681527265 & 0.473187300417579 \tabularnewline
0.05 & 91.81520212526 & 0.571679845147524 \tabularnewline
0.06 & 92.0266844448194 & 0.64535620922156 \tabularnewline
0.07 & 92.250166416388 & 0.69794947081702 \tabularnewline
0.08 & 92.4785174894896 & 0.733602433798037 \tabularnewline
0.09 & 92.7061376107946 & 0.754093607692815 \tabularnewline
0.1 & 92.9289012123082 & 0.760362495626528 \tabularnewline
0.11 & 93.1438763057437 & 0.754333012465984 \tabularnewline
0.12 & 93.3491093009436 & 0.738962511717854 \tabularnewline
0.13 & 93.5435129431416 & 0.718362484098317 \tabularnewline
0.14 & 93.7267790242717 & 0.69576565731734 \tabularnewline
0.15 & 93.8992538661194 & 0.673699674714113 \tabularnewline
0.16 & 94.0617713890551 & 0.653798639527661 \tabularnewline
0.17 & 94.2154726934421 & 0.63712414226303 \tabularnewline
0.18 & 94.3616418093791 & 0.624299145159219 \tabularnewline
0.19 & 94.5015719994656 & 0.61574100276007 \tabularnewline
0.2 & 94.636463683607 & 0.610877686592833 \tabularnewline
0.21 & 94.7673504660124 & 0.608935397399297 \tabularnewline
0.22 & 94.8950513148346 & 0.609032944976096 \tabularnewline
0.23 & 95.0201493170979 & 0.609752363846095 \tabularnewline
0.24 & 95.1429972459402 & 0.610146485221474 \tabularnewline
0.25 & 95.2637472699473 & 0.609269031953781 \tabularnewline
0.26 & 95.3823983169799 & 0.606690048366846 \tabularnewline
0.27 & 95.4988518927918 & 0.602235385393043 \tabularnewline
0.28 & 95.6129666459663 & 0.596055595894763 \tabularnewline
0.29 & 95.7246036397487 & 0.588533836715311 \tabularnewline
0.3 & 95.8336573763559 & 0.57989151103951 \tabularnewline
0.31 & 95.9400711501684 & 0.570562814654105 \tabularnewline
0.32 & 96.043838476226 & 0.561167971364238 \tabularnewline
0.33 & 96.1449946447693 & 0.55169439247828 \tabularnewline
0.34 & 96.2436036632958 & 0.542300661689547 \tabularnewline
0.35 & 96.3397459359188 & 0.53309025186427 \tabularnewline
0.36 & 96.4335111083561 & 0.523776326882159 \tabularnewline
0.37 & 96.5249988078218 & 0.514534173228615 \tabularnewline
0.38 & 96.6143278714138 & 0.505309668016667 \tabularnewline
0.39 & 96.7016525020844 & 0.496514400680016 \tabularnewline
0.4 & 96.7871820451173 & 0.488358027996842 \tabularnewline
0.41 & 96.8712000854546 & 0.48185178144528 \tabularnewline
0.42 & 96.9540785054179 & 0.477207458222329 \tabularnewline
0.43 & 97.0362829779174 & 0.475693188275292 \tabularnewline
0.44 & 97.1183678645394 & 0.477638419345946 \tabularnewline
0.45 & 97.2009602690501 & 0.48364014802942 \tabularnewline
0.46 & 97.2847346619772 & 0.49398453084177 \tabularnewline
0.47 & 97.3703807133665 & 0.508658631947529 \tabularnewline
0.48 & 97.4585675736819 & 0.527191123042862 \tabularnewline
0.49 & 97.5499078328596 & 0.549080873936845 \tabularnewline
0.5 & 97.6449239251282 & 0.573813279067675 \tabularnewline
0.51 & 97.7440190797423 & 0.600180215468043 \tabularnewline
0.52 & 97.8474542936588 & 0.627348357075743 \tabularnewline
0.53 & 97.9553323935546 & 0.65440849609736 \tabularnewline
0.54 & 98.0675901101626 & 0.68018199573881 \tabularnewline
0.55 & 98.1839991272455 & 0.703668281692468 \tabularnewline
0.56 & 98.3041771146877 & 0.724020615196525 \tabularnewline
0.57 & 98.4276095989686 & 0.740307211219547 \tabularnewline
0.58 & 98.5536829863804 & 0.752128791338308 \tabularnewline
0.59 & 98.6817280470543 & 0.759009719972987 \tabularnewline
0.6 & 98.8110717283981 & 0.761204838983823 \tabularnewline
0.61 & 98.941093463727 & 0.758925379890958 \tabularnewline
0.62 & 99.071280457479 & 0.753256691800651 \tabularnewline
0.63 & 99.2012751197137 & 0.745106733497185 \tabularnewline
0.64 & 99.3309072714237 & 0.73593445898353 \tabularnewline
0.65 & 99.4602042924265 & 0.727162199397041 \tabularnewline
0.66 & 99.589374266795 & 0.720069818446089 \tabularnewline
0.67 & 99.7187604326558 & 0.715576230166618 \tabularnewline
0.68 & 99.8487696232204 & 0.714141811298461 \tabularnewline
0.69 & 99.9797823268233 & 0.71543793298899 \tabularnewline
0.7 & 100.11205661761 & 0.718475787944773 \tabularnewline
0.71 & 100.245641444063 & 0.721633713960116 \tabularnewline
0.72 & 100.380315573871 & 0.722909686951536 \tabularnewline
0.73 & 100.515566187461 & 0.720270442435208 \tabularnewline
0.74 & 100.650615639256 & 0.711974985834487 \tabularnewline
0.75 & 100.784497037021 & 0.696996387556086 \tabularnewline
0.76 & 100.916170559817 & 0.675053803124463 \tabularnewline
0.77 & 101.044664801922 & 0.646806427915926 \tabularnewline
0.78 & 101.16922272178 & 0.6138817312632 \tabularnewline
0.79 & 101.289431115895 & 0.578431601542946 \tabularnewline
0.8 & 101.405316025491 & 0.543182113132088 \tabularnewline
0.81 & 101.517393357278 & 0.510853027761294 \tabularnewline
0.82 & 101.62667334504 & 0.483810802121803 \tabularnewline
0.83 & 101.734629169337 & 0.464067224580249 \tabularnewline
0.84 & 101.843155165107 & 0.453006231408796 \tabularnewline
0.85 & 101.954559636475 & 0.451117950120297 \tabularnewline
0.86 & 102.071658560087 & 0.45864040581475 \tabularnewline
0.87 & 102.198046617269 & 0.475867811095281 \tabularnewline
0.88 & 102.338593480097 & 0.504841187024069 \tabularnewline
0.89 & 102.500108705496 & 0.550620232129458 \tabularnewline
0.9 & 102.691917739659 & 0.622443732661168 \tabularnewline
0.91 & 102.925846271449 & 0.730688561431662 \tabularnewline
0.92 & 103.215003793172 & 0.878967161033258 \tabularnewline
0.93 & 103.571084196706 & 1.0540377312551 \tabularnewline
0.94 & 104.000824347609 & 1.2208482542908 \tabularnewline
0.95 & 104.503275716543 & 1.33013780137181 \tabularnewline
0.96 & 105.069028882428 & 1.34391441861085 \tabularnewline
0.97 & 105.678719712895 & 1.27596886277566 \tabularnewline
0.98 & 106.293259792377 & 1.21756243400248 \tabularnewline
0.99 & 106.833839615202 & 1.26388213332406 \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]91.2386786129788[/C][C]0.166318419892703[/C][/ROW]
[ROW][C]0.02[/C][C]91.3300271894783[/C][C]0.240093756725517[/C][/ROW]
[ROW][C]0.03[/C][C]91.4600136074771[/C][C]0.355017198838025[/C][/ROW]
[ROW][C]0.04[/C][C]91.6237681527265[/C][C]0.473187300417579[/C][/ROW]
[ROW][C]0.05[/C][C]91.81520212526[/C][C]0.571679845147524[/C][/ROW]
[ROW][C]0.06[/C][C]92.0266844448194[/C][C]0.64535620922156[/C][/ROW]
[ROW][C]0.07[/C][C]92.250166416388[/C][C]0.69794947081702[/C][/ROW]
[ROW][C]0.08[/C][C]92.4785174894896[/C][C]0.733602433798037[/C][/ROW]
[ROW][C]0.09[/C][C]92.7061376107946[/C][C]0.754093607692815[/C][/ROW]
[ROW][C]0.1[/C][C]92.9289012123082[/C][C]0.760362495626528[/C][/ROW]
[ROW][C]0.11[/C][C]93.1438763057437[/C][C]0.754333012465984[/C][/ROW]
[ROW][C]0.12[/C][C]93.3491093009436[/C][C]0.738962511717854[/C][/ROW]
[ROW][C]0.13[/C][C]93.5435129431416[/C][C]0.718362484098317[/C][/ROW]
[ROW][C]0.14[/C][C]93.7267790242717[/C][C]0.69576565731734[/C][/ROW]
[ROW][C]0.15[/C][C]93.8992538661194[/C][C]0.673699674714113[/C][/ROW]
[ROW][C]0.16[/C][C]94.0617713890551[/C][C]0.653798639527661[/C][/ROW]
[ROW][C]0.17[/C][C]94.2154726934421[/C][C]0.63712414226303[/C][/ROW]
[ROW][C]0.18[/C][C]94.3616418093791[/C][C]0.624299145159219[/C][/ROW]
[ROW][C]0.19[/C][C]94.5015719994656[/C][C]0.61574100276007[/C][/ROW]
[ROW][C]0.2[/C][C]94.636463683607[/C][C]0.610877686592833[/C][/ROW]
[ROW][C]0.21[/C][C]94.7673504660124[/C][C]0.608935397399297[/C][/ROW]
[ROW][C]0.22[/C][C]94.8950513148346[/C][C]0.609032944976096[/C][/ROW]
[ROW][C]0.23[/C][C]95.0201493170979[/C][C]0.609752363846095[/C][/ROW]
[ROW][C]0.24[/C][C]95.1429972459402[/C][C]0.610146485221474[/C][/ROW]
[ROW][C]0.25[/C][C]95.2637472699473[/C][C]0.609269031953781[/C][/ROW]
[ROW][C]0.26[/C][C]95.3823983169799[/C][C]0.606690048366846[/C][/ROW]
[ROW][C]0.27[/C][C]95.4988518927918[/C][C]0.602235385393043[/C][/ROW]
[ROW][C]0.28[/C][C]95.6129666459663[/C][C]0.596055595894763[/C][/ROW]
[ROW][C]0.29[/C][C]95.7246036397487[/C][C]0.588533836715311[/C][/ROW]
[ROW][C]0.3[/C][C]95.8336573763559[/C][C]0.57989151103951[/C][/ROW]
[ROW][C]0.31[/C][C]95.9400711501684[/C][C]0.570562814654105[/C][/ROW]
[ROW][C]0.32[/C][C]96.043838476226[/C][C]0.561167971364238[/C][/ROW]
[ROW][C]0.33[/C][C]96.1449946447693[/C][C]0.55169439247828[/C][/ROW]
[ROW][C]0.34[/C][C]96.2436036632958[/C][C]0.542300661689547[/C][/ROW]
[ROW][C]0.35[/C][C]96.3397459359188[/C][C]0.53309025186427[/C][/ROW]
[ROW][C]0.36[/C][C]96.4335111083561[/C][C]0.523776326882159[/C][/ROW]
[ROW][C]0.37[/C][C]96.5249988078218[/C][C]0.514534173228615[/C][/ROW]
[ROW][C]0.38[/C][C]96.6143278714138[/C][C]0.505309668016667[/C][/ROW]
[ROW][C]0.39[/C][C]96.7016525020844[/C][C]0.496514400680016[/C][/ROW]
[ROW][C]0.4[/C][C]96.7871820451173[/C][C]0.488358027996842[/C][/ROW]
[ROW][C]0.41[/C][C]96.8712000854546[/C][C]0.48185178144528[/C][/ROW]
[ROW][C]0.42[/C][C]96.9540785054179[/C][C]0.477207458222329[/C][/ROW]
[ROW][C]0.43[/C][C]97.0362829779174[/C][C]0.475693188275292[/C][/ROW]
[ROW][C]0.44[/C][C]97.1183678645394[/C][C]0.477638419345946[/C][/ROW]
[ROW][C]0.45[/C][C]97.2009602690501[/C][C]0.48364014802942[/C][/ROW]
[ROW][C]0.46[/C][C]97.2847346619772[/C][C]0.49398453084177[/C][/ROW]
[ROW][C]0.47[/C][C]97.3703807133665[/C][C]0.508658631947529[/C][/ROW]
[ROW][C]0.48[/C][C]97.4585675736819[/C][C]0.527191123042862[/C][/ROW]
[ROW][C]0.49[/C][C]97.5499078328596[/C][C]0.549080873936845[/C][/ROW]
[ROW][C]0.5[/C][C]97.6449239251282[/C][C]0.573813279067675[/C][/ROW]
[ROW][C]0.51[/C][C]97.7440190797423[/C][C]0.600180215468043[/C][/ROW]
[ROW][C]0.52[/C][C]97.8474542936588[/C][C]0.627348357075743[/C][/ROW]
[ROW][C]0.53[/C][C]97.9553323935546[/C][C]0.65440849609736[/C][/ROW]
[ROW][C]0.54[/C][C]98.0675901101626[/C][C]0.68018199573881[/C][/ROW]
[ROW][C]0.55[/C][C]98.1839991272455[/C][C]0.703668281692468[/C][/ROW]
[ROW][C]0.56[/C][C]98.3041771146877[/C][C]0.724020615196525[/C][/ROW]
[ROW][C]0.57[/C][C]98.4276095989686[/C][C]0.740307211219547[/C][/ROW]
[ROW][C]0.58[/C][C]98.5536829863804[/C][C]0.752128791338308[/C][/ROW]
[ROW][C]0.59[/C][C]98.6817280470543[/C][C]0.759009719972987[/C][/ROW]
[ROW][C]0.6[/C][C]98.8110717283981[/C][C]0.761204838983823[/C][/ROW]
[ROW][C]0.61[/C][C]98.941093463727[/C][C]0.758925379890958[/C][/ROW]
[ROW][C]0.62[/C][C]99.071280457479[/C][C]0.753256691800651[/C][/ROW]
[ROW][C]0.63[/C][C]99.2012751197137[/C][C]0.745106733497185[/C][/ROW]
[ROW][C]0.64[/C][C]99.3309072714237[/C][C]0.73593445898353[/C][/ROW]
[ROW][C]0.65[/C][C]99.4602042924265[/C][C]0.727162199397041[/C][/ROW]
[ROW][C]0.66[/C][C]99.589374266795[/C][C]0.720069818446089[/C][/ROW]
[ROW][C]0.67[/C][C]99.7187604326558[/C][C]0.715576230166618[/C][/ROW]
[ROW][C]0.68[/C][C]99.8487696232204[/C][C]0.714141811298461[/C][/ROW]
[ROW][C]0.69[/C][C]99.9797823268233[/C][C]0.71543793298899[/C][/ROW]
[ROW][C]0.7[/C][C]100.11205661761[/C][C]0.718475787944773[/C][/ROW]
[ROW][C]0.71[/C][C]100.245641444063[/C][C]0.721633713960116[/C][/ROW]
[ROW][C]0.72[/C][C]100.380315573871[/C][C]0.722909686951536[/C][/ROW]
[ROW][C]0.73[/C][C]100.515566187461[/C][C]0.720270442435208[/C][/ROW]
[ROW][C]0.74[/C][C]100.650615639256[/C][C]0.711974985834487[/C][/ROW]
[ROW][C]0.75[/C][C]100.784497037021[/C][C]0.696996387556086[/C][/ROW]
[ROW][C]0.76[/C][C]100.916170559817[/C][C]0.675053803124463[/C][/ROW]
[ROW][C]0.77[/C][C]101.044664801922[/C][C]0.646806427915926[/C][/ROW]
[ROW][C]0.78[/C][C]101.16922272178[/C][C]0.6138817312632[/C][/ROW]
[ROW][C]0.79[/C][C]101.289431115895[/C][C]0.578431601542946[/C][/ROW]
[ROW][C]0.8[/C][C]101.405316025491[/C][C]0.543182113132088[/C][/ROW]
[ROW][C]0.81[/C][C]101.517393357278[/C][C]0.510853027761294[/C][/ROW]
[ROW][C]0.82[/C][C]101.62667334504[/C][C]0.483810802121803[/C][/ROW]
[ROW][C]0.83[/C][C]101.734629169337[/C][C]0.464067224580249[/C][/ROW]
[ROW][C]0.84[/C][C]101.843155165107[/C][C]0.453006231408796[/C][/ROW]
[ROW][C]0.85[/C][C]101.954559636475[/C][C]0.451117950120297[/C][/ROW]
[ROW][C]0.86[/C][C]102.071658560087[/C][C]0.45864040581475[/C][/ROW]
[ROW][C]0.87[/C][C]102.198046617269[/C][C]0.475867811095281[/C][/ROW]
[ROW][C]0.88[/C][C]102.338593480097[/C][C]0.504841187024069[/C][/ROW]
[ROW][C]0.89[/C][C]102.500108705496[/C][C]0.550620232129458[/C][/ROW]
[ROW][C]0.9[/C][C]102.691917739659[/C][C]0.622443732661168[/C][/ROW]
[ROW][C]0.91[/C][C]102.925846271449[/C][C]0.730688561431662[/C][/ROW]
[ROW][C]0.92[/C][C]103.215003793172[/C][C]0.878967161033258[/C][/ROW]
[ROW][C]0.93[/C][C]103.571084196706[/C][C]1.0540377312551[/C][/ROW]
[ROW][C]0.94[/C][C]104.000824347609[/C][C]1.2208482542908[/C][/ROW]
[ROW][C]0.95[/C][C]104.503275716543[/C][C]1.33013780137181[/C][/ROW]
[ROW][C]0.96[/C][C]105.069028882428[/C][C]1.34391441861085[/C][/ROW]
[ROW][C]0.97[/C][C]105.678719712895[/C][C]1.27596886277566[/C][/ROW]
[ROW][C]0.98[/C][C]106.293259792377[/C][C]1.21756243400248[/C][/ROW]
[ROW][C]0.99[/C][C]106.833839615202[/C][C]1.26388213332406[/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
0.0191.23867861297880.166318419892703
0.0291.33002718947830.240093756725517
0.0391.46001360747710.355017198838025
0.0491.62376815272650.473187300417579
0.0591.815202125260.571679845147524
0.0692.02668444481940.64535620922156
0.0792.2501664163880.69794947081702
0.0892.47851748948960.733602433798037
0.0992.70613761079460.754093607692815
0.192.92890121230820.760362495626528
0.1193.14387630574370.754333012465984
0.1293.34910930094360.738962511717854
0.1393.54351294314160.718362484098317
0.1493.72677902427170.69576565731734
0.1593.89925386611940.673699674714113
0.1694.06177138905510.653798639527661
0.1794.21547269344210.63712414226303
0.1894.36164180937910.624299145159219
0.1994.50157199946560.61574100276007
0.294.6364636836070.610877686592833
0.2194.76735046601240.608935397399297
0.2294.89505131483460.609032944976096
0.2395.02014931709790.609752363846095
0.2495.14299724594020.610146485221474
0.2595.26374726994730.609269031953781
0.2695.38239831697990.606690048366846
0.2795.49885189279180.602235385393043
0.2895.61296664596630.596055595894763
0.2995.72460363974870.588533836715311
0.395.83365737635590.57989151103951
0.3195.94007115016840.570562814654105
0.3296.0438384762260.561167971364238
0.3396.14499464476930.55169439247828
0.3496.24360366329580.542300661689547
0.3596.33974593591880.53309025186427
0.3696.43351110835610.523776326882159
0.3796.52499880782180.514534173228615
0.3896.61432787141380.505309668016667
0.3996.70165250208440.496514400680016
0.496.78718204511730.488358027996842
0.4196.87120008545460.48185178144528
0.4296.95407850541790.477207458222329
0.4397.03628297791740.475693188275292
0.4497.11836786453940.477638419345946
0.4597.20096026905010.48364014802942
0.4697.28473466197720.49398453084177
0.4797.37038071336650.508658631947529
0.4897.45856757368190.527191123042862
0.4997.54990783285960.549080873936845
0.597.64492392512820.573813279067675
0.5197.74401907974230.600180215468043
0.5297.84745429365880.627348357075743
0.5397.95533239355460.65440849609736
0.5498.06759011016260.68018199573881
0.5598.18399912724550.703668281692468
0.5698.30417711468770.724020615196525
0.5798.42760959896860.740307211219547
0.5898.55368298638040.752128791338308
0.5998.68172804705430.759009719972987
0.698.81107172839810.761204838983823
0.6198.9410934637270.758925379890958
0.6299.0712804574790.753256691800651
0.6399.20127511971370.745106733497185
0.6499.33090727142370.73593445898353
0.6599.46020429242650.727162199397041
0.6699.5893742667950.720069818446089
0.6799.71876043265580.715576230166618
0.6899.84876962322040.714141811298461
0.6999.97978232682330.71543793298899
0.7100.112056617610.718475787944773
0.71100.2456414440630.721633713960116
0.72100.3803155738710.722909686951536
0.73100.5155661874610.720270442435208
0.74100.6506156392560.711974985834487
0.75100.7844970370210.696996387556086
0.76100.9161705598170.675053803124463
0.77101.0446648019220.646806427915926
0.78101.169222721780.6138817312632
0.79101.2894311158950.578431601542946
0.8101.4053160254910.543182113132088
0.81101.5173933572780.510853027761294
0.82101.626673345040.483810802121803
0.83101.7346291693370.464067224580249
0.84101.8431551651070.453006231408796
0.85101.9545596364750.451117950120297
0.86102.0716585600870.45864040581475
0.87102.1980466172690.475867811095281
0.88102.3385934800970.504841187024069
0.89102.5001087054960.550620232129458
0.9102.6919177396590.622443732661168
0.91102.9258462714490.730688561431662
0.92103.2150037931720.878967161033258
0.93103.5710841967061.0540377312551
0.94104.0008243476091.2208482542908
0.95104.5032757165431.33013780137181
0.96105.0690288824281.34391441861085
0.97105.6787197128951.27596886277566
0.98106.2932597923771.21756243400248
0.99106.8338396152021.26388213332406


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')