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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 computationFri, 09 Oct 2015 18:24:05 +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/2015/Oct/09/t1444411460yl3rwz63inipt3b.htm/, Retrieved Tue, 14 May 2024 00:11:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281988, Retrieved Tue, 14 May 2024 00:11:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact73

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] [] [2015-10-09 17:24:05] [baf7db162d56d42e62a4d339fc25c05c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
79.21
79.08
79.88
80.57
80.9
80.89
80.61
80.98
81.68
83.28
83.94
89.25
95.3
97.68
98.53
98.32
97.02
90.13
88.49
88.07
87.17
86.1
86.59
85.89
85.82
86.68
86.3
86.32
85.61
85.52
85.97
86.6
86.78
84.98
85.21
86.39
88.39
88.83
95.76
100.98
102.56
102.92
104.35
105.07
105.41
105.06
104.33
104.61
104.78
104.38
104.08
103.4
101.72
100.1
100.37
96.27
95.28
95.85
96.76
97
96.71
96.97
96.97
98.01
99.18
99.51
99.16
99.4
97.59
96.71
96.56
96.42

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281988&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281988&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281988&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0179.18394594909170.287338129295707
0.0279.39333865281920.490996367137704
0.0379.67127169329340.605580346165798
0.0479.96951895111490.620618167197701
0.0580.25482854295440.593827305783137
0.0680.51797989440370.59447320767596
0.0780.76937123287710.668649219763108
0.0881.02885348575410.82066115418907
0.0981.31594004194651.02416611877599
0.181.64323163156361.24226091680076
0.1182.01354501151841.43854535625829
0.1282.42016710047421.58295301366401
0.1382.84927445013791.65714947375386
0.1483.28343808559791.65625613979591
0.1583.70518677535641.58803363099175
0.1684.09983858426291.46813131644581
0.1784.45717887888371.31665795577191
0.1884.77194554975141.15269338257691
0.1985.04336730665670.992707128665913
0.285.27413556363120.848185928106643
0.2185.46918672973530.725952299810549
0.2285.63458036275970.628753719435934
0.2385.7766366295060.556614954874838
0.2485.90138600914880.507994964423414
0.2586.01430612701550.480551688668858
0.2686.12027850693750.472690655630465
0.2786.22368534103330.483290399478928
0.2886.32857313208340.512252713784773
0.2986.43882688873810.56041920061033
0.386.55831823170780.628607981962429
0.3186.69100836225020.718040591950826
0.3286.84099934343790.82995988646683
0.3387.0125332419320.965053074376767
0.3487.20993877979471.12419806086268
0.3587.43752139705241.30727880477489
0.3687.69938859750941.51308090710718
0.3787.99920226818011.73905368090475
0.3888.33985664201781.98061350529346
0.3988.72309575549262.23040495687895
0.489.14910542946032.47832235160492
0.4189.6161365709552.71198497848291
0.4290.12023165620682.91782085061694
0.4390.65512769431013.08190281797714
0.4491.21239278758763.19144482056486
0.4591.78182038093533.2373562878854
0.4692.35206140135713.21449629920855
0.4792.91142955936093.12313874452063
0.4893.44878007079482.96869086456542
0.4993.95434580701212.76158921356677
0.594.42042148846072.51551036698535
0.5194.84181419045672.24588054566449
0.5295.2160200909811.96867134067877
0.5395.54313300736031.69842119888808
0.5495.8255297220881.44724510897963
0.5596.06740288813791.22427666847136
0.5696.27422118290321.03544143548923
0.5796.45218956774820.88377924722353
0.5896.60776464277640.769936072475917
0.5996.7472574125070.69250474394921
0.696.87653426772810.648211502315783
0.6197.00081090775440.632589961498381
0.6297.12452517573490.639805752384299
0.6397.25127299582110.66411967980356
0.6497.38379481060620.700033094930366
0.6597.52400540823130.74263027656933
0.6697.67306516009170.787596915773559
0.6797.83149345463850.831659238494318
0.6897.99932440564280.87268277123581
0.6998.17630057113710.909275021919322
0.798.36209313400590.941459469986965
0.7198.55652818839450.970475734940843
0.7298.75979045360410.998784466650868
0.7398.97257027575171.02928332383176
0.7499.19611956636631.06536146842935
0.7599.43218922080191.10961273166922
0.7699.68283519413971.16321633260438
0.7799.95010156177531.22552630826038
0.78100.2356131473911.29335556043175
0.79100.5401324016451.36143286738552
0.8100.8631492588231.42289930737037
0.81101.2025741673381.46994705961061
0.82101.5545924978321.49532623826435
0.83101.913717121861.49278830816663
0.84102.2730530065371.45817752983317
0.85102.6247706958461.39004918779391
0.86102.9607755627961.28983281475076
0.87103.2735470046561.16211021353406
0.88103.5570886244161.01459202644582
0.89103.8078636362210.858079767285506
0.9104.0254985260020.705180628108955
0.91104.2129671812110.569027461411872
0.92104.3759950143320.460494782842016
0.93104.5216390187490.384253594509803
0.94104.6564668005020.334964996484717
0.95104.7853794634530.298598982506302
0.96104.9123047893580.261785741297562
0.97105.0422729848220.226844630891784
0.98105.1797126092990.223341185972186
0.99105.3152976696590.27403360458467

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 79.1839459490917 & 0.287338129295707 \tabularnewline
0.02 & 79.3933386528192 & 0.490996367137704 \tabularnewline
0.03 & 79.6712716932934 & 0.605580346165798 \tabularnewline
0.04 & 79.9695189511149 & 0.620618167197701 \tabularnewline
0.05 & 80.2548285429544 & 0.593827305783137 \tabularnewline
0.06 & 80.5179798944037 & 0.59447320767596 \tabularnewline
0.07 & 80.7693712328771 & 0.668649219763108 \tabularnewline
0.08 & 81.0288534857541 & 0.82066115418907 \tabularnewline
0.09 & 81.3159400419465 & 1.02416611877599 \tabularnewline
0.1 & 81.6432316315636 & 1.24226091680076 \tabularnewline
0.11 & 82.0135450115184 & 1.43854535625829 \tabularnewline
0.12 & 82.4201671004742 & 1.58295301366401 \tabularnewline
0.13 & 82.8492744501379 & 1.65714947375386 \tabularnewline
0.14 & 83.2834380855979 & 1.65625613979591 \tabularnewline
0.15 & 83.7051867753564 & 1.58803363099175 \tabularnewline
0.16 & 84.0998385842629 & 1.46813131644581 \tabularnewline
0.17 & 84.4571788788837 & 1.31665795577191 \tabularnewline
0.18 & 84.7719455497514 & 1.15269338257691 \tabularnewline
0.19 & 85.0433673066567 & 0.992707128665913 \tabularnewline
0.2 & 85.2741355636312 & 0.848185928106643 \tabularnewline
0.21 & 85.4691867297353 & 0.725952299810549 \tabularnewline
0.22 & 85.6345803627597 & 0.628753719435934 \tabularnewline
0.23 & 85.776636629506 & 0.556614954874838 \tabularnewline
0.24 & 85.9013860091488 & 0.507994964423414 \tabularnewline
0.25 & 86.0143061270155 & 0.480551688668858 \tabularnewline
0.26 & 86.1202785069375 & 0.472690655630465 \tabularnewline
0.27 & 86.2236853410333 & 0.483290399478928 \tabularnewline
0.28 & 86.3285731320834 & 0.512252713784773 \tabularnewline
0.29 & 86.4388268887381 & 0.56041920061033 \tabularnewline
0.3 & 86.5583182317078 & 0.628607981962429 \tabularnewline
0.31 & 86.6910083622502 & 0.718040591950826 \tabularnewline
0.32 & 86.8409993434379 & 0.82995988646683 \tabularnewline
0.33 & 87.012533241932 & 0.965053074376767 \tabularnewline
0.34 & 87.2099387797947 & 1.12419806086268 \tabularnewline
0.35 & 87.4375213970524 & 1.30727880477489 \tabularnewline
0.36 & 87.6993885975094 & 1.51308090710718 \tabularnewline
0.37 & 87.9992022681801 & 1.73905368090475 \tabularnewline
0.38 & 88.3398566420178 & 1.98061350529346 \tabularnewline
0.39 & 88.7230957554926 & 2.23040495687895 \tabularnewline
0.4 & 89.1491054294603 & 2.47832235160492 \tabularnewline
0.41 & 89.616136570955 & 2.71198497848291 \tabularnewline
0.42 & 90.1202316562068 & 2.91782085061694 \tabularnewline
0.43 & 90.6551276943101 & 3.08190281797714 \tabularnewline
0.44 & 91.2123927875876 & 3.19144482056486 \tabularnewline
0.45 & 91.7818203809353 & 3.2373562878854 \tabularnewline
0.46 & 92.3520614013571 & 3.21449629920855 \tabularnewline
0.47 & 92.9114295593609 & 3.12313874452063 \tabularnewline
0.48 & 93.4487800707948 & 2.96869086456542 \tabularnewline
0.49 & 93.9543458070121 & 2.76158921356677 \tabularnewline
0.5 & 94.4204214884607 & 2.51551036698535 \tabularnewline
0.51 & 94.8418141904567 & 2.24588054566449 \tabularnewline
0.52 & 95.216020090981 & 1.96867134067877 \tabularnewline
0.53 & 95.5431330073603 & 1.69842119888808 \tabularnewline
0.54 & 95.825529722088 & 1.44724510897963 \tabularnewline
0.55 & 96.0674028881379 & 1.22427666847136 \tabularnewline
0.56 & 96.2742211829032 & 1.03544143548923 \tabularnewline
0.57 & 96.4521895677482 & 0.88377924722353 \tabularnewline
0.58 & 96.6077646427764 & 0.769936072475917 \tabularnewline
0.59 & 96.747257412507 & 0.69250474394921 \tabularnewline
0.6 & 96.8765342677281 & 0.648211502315783 \tabularnewline
0.61 & 97.0008109077544 & 0.632589961498381 \tabularnewline
0.62 & 97.1245251757349 & 0.639805752384299 \tabularnewline
0.63 & 97.2512729958211 & 0.66411967980356 \tabularnewline
0.64 & 97.3837948106062 & 0.700033094930366 \tabularnewline
0.65 & 97.5240054082313 & 0.74263027656933 \tabularnewline
0.66 & 97.6730651600917 & 0.787596915773559 \tabularnewline
0.67 & 97.8314934546385 & 0.831659238494318 \tabularnewline
0.68 & 97.9993244056428 & 0.87268277123581 \tabularnewline
0.69 & 98.1763005711371 & 0.909275021919322 \tabularnewline
0.7 & 98.3620931340059 & 0.941459469986965 \tabularnewline
0.71 & 98.5565281883945 & 0.970475734940843 \tabularnewline
0.72 & 98.7597904536041 & 0.998784466650868 \tabularnewline
0.73 & 98.9725702757517 & 1.02928332383176 \tabularnewline
0.74 & 99.1961195663663 & 1.06536146842935 \tabularnewline
0.75 & 99.4321892208019 & 1.10961273166922 \tabularnewline
0.76 & 99.6828351941397 & 1.16321633260438 \tabularnewline
0.77 & 99.9501015617753 & 1.22552630826038 \tabularnewline
0.78 & 100.235613147391 & 1.29335556043175 \tabularnewline
0.79 & 100.540132401645 & 1.36143286738552 \tabularnewline
0.8 & 100.863149258823 & 1.42289930737037 \tabularnewline
0.81 & 101.202574167338 & 1.46994705961061 \tabularnewline
0.82 & 101.554592497832 & 1.49532623826435 \tabularnewline
0.83 & 101.91371712186 & 1.49278830816663 \tabularnewline
0.84 & 102.273053006537 & 1.45817752983317 \tabularnewline
0.85 & 102.624770695846 & 1.39004918779391 \tabularnewline
0.86 & 102.960775562796 & 1.28983281475076 \tabularnewline
0.87 & 103.273547004656 & 1.16211021353406 \tabularnewline
0.88 & 103.557088624416 & 1.01459202644582 \tabularnewline
0.89 & 103.807863636221 & 0.858079767285506 \tabularnewline
0.9 & 104.025498526002 & 0.705180628108955 \tabularnewline
0.91 & 104.212967181211 & 0.569027461411872 \tabularnewline
0.92 & 104.375995014332 & 0.460494782842016 \tabularnewline
0.93 & 104.521639018749 & 0.384253594509803 \tabularnewline
0.94 & 104.656466800502 & 0.334964996484717 \tabularnewline
0.95 & 104.785379463453 & 0.298598982506302 \tabularnewline
0.96 & 104.912304789358 & 0.261785741297562 \tabularnewline
0.97 & 105.042272984822 & 0.226844630891784 \tabularnewline
0.98 & 105.179712609299 & 0.223341185972186 \tabularnewline
0.99 & 105.315297669659 & 0.27403360458467 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281988&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]79.1839459490917[/C][C]0.287338129295707[/C][/ROW]
[ROW][C]0.02[/C][C]79.3933386528192[/C][C]0.490996367137704[/C][/ROW]
[ROW][C]0.03[/C][C]79.6712716932934[/C][C]0.605580346165798[/C][/ROW]
[ROW][C]0.04[/C][C]79.9695189511149[/C][C]0.620618167197701[/C][/ROW]
[ROW][C]0.05[/C][C]80.2548285429544[/C][C]0.593827305783137[/C][/ROW]
[ROW][C]0.06[/C][C]80.5179798944037[/C][C]0.59447320767596[/C][/ROW]
[ROW][C]0.07[/C][C]80.7693712328771[/C][C]0.668649219763108[/C][/ROW]
[ROW][C]0.08[/C][C]81.0288534857541[/C][C]0.82066115418907[/C][/ROW]
[ROW][C]0.09[/C][C]81.3159400419465[/C][C]1.02416611877599[/C][/ROW]
[ROW][C]0.1[/C][C]81.6432316315636[/C][C]1.24226091680076[/C][/ROW]
[ROW][C]0.11[/C][C]82.0135450115184[/C][C]1.43854535625829[/C][/ROW]
[ROW][C]0.12[/C][C]82.4201671004742[/C][C]1.58295301366401[/C][/ROW]
[ROW][C]0.13[/C][C]82.8492744501379[/C][C]1.65714947375386[/C][/ROW]
[ROW][C]0.14[/C][C]83.2834380855979[/C][C]1.65625613979591[/C][/ROW]
[ROW][C]0.15[/C][C]83.7051867753564[/C][C]1.58803363099175[/C][/ROW]
[ROW][C]0.16[/C][C]84.0998385842629[/C][C]1.46813131644581[/C][/ROW]
[ROW][C]0.17[/C][C]84.4571788788837[/C][C]1.31665795577191[/C][/ROW]
[ROW][C]0.18[/C][C]84.7719455497514[/C][C]1.15269338257691[/C][/ROW]
[ROW][C]0.19[/C][C]85.0433673066567[/C][C]0.992707128665913[/C][/ROW]
[ROW][C]0.2[/C][C]85.2741355636312[/C][C]0.848185928106643[/C][/ROW]
[ROW][C]0.21[/C][C]85.4691867297353[/C][C]0.725952299810549[/C][/ROW]
[ROW][C]0.22[/C][C]85.6345803627597[/C][C]0.628753719435934[/C][/ROW]
[ROW][C]0.23[/C][C]85.776636629506[/C][C]0.556614954874838[/C][/ROW]
[ROW][C]0.24[/C][C]85.9013860091488[/C][C]0.507994964423414[/C][/ROW]
[ROW][C]0.25[/C][C]86.0143061270155[/C][C]0.480551688668858[/C][/ROW]
[ROW][C]0.26[/C][C]86.1202785069375[/C][C]0.472690655630465[/C][/ROW]
[ROW][C]0.27[/C][C]86.2236853410333[/C][C]0.483290399478928[/C][/ROW]
[ROW][C]0.28[/C][C]86.3285731320834[/C][C]0.512252713784773[/C][/ROW]
[ROW][C]0.29[/C][C]86.4388268887381[/C][C]0.56041920061033[/C][/ROW]
[ROW][C]0.3[/C][C]86.5583182317078[/C][C]0.628607981962429[/C][/ROW]
[ROW][C]0.31[/C][C]86.6910083622502[/C][C]0.718040591950826[/C][/ROW]
[ROW][C]0.32[/C][C]86.8409993434379[/C][C]0.82995988646683[/C][/ROW]
[ROW][C]0.33[/C][C]87.012533241932[/C][C]0.965053074376767[/C][/ROW]
[ROW][C]0.34[/C][C]87.2099387797947[/C][C]1.12419806086268[/C][/ROW]
[ROW][C]0.35[/C][C]87.4375213970524[/C][C]1.30727880477489[/C][/ROW]
[ROW][C]0.36[/C][C]87.6993885975094[/C][C]1.51308090710718[/C][/ROW]
[ROW][C]0.37[/C][C]87.9992022681801[/C][C]1.73905368090475[/C][/ROW]
[ROW][C]0.38[/C][C]88.3398566420178[/C][C]1.98061350529346[/C][/ROW]
[ROW][C]0.39[/C][C]88.7230957554926[/C][C]2.23040495687895[/C][/ROW]
[ROW][C]0.4[/C][C]89.1491054294603[/C][C]2.47832235160492[/C][/ROW]
[ROW][C]0.41[/C][C]89.616136570955[/C][C]2.71198497848291[/C][/ROW]
[ROW][C]0.42[/C][C]90.1202316562068[/C][C]2.91782085061694[/C][/ROW]
[ROW][C]0.43[/C][C]90.6551276943101[/C][C]3.08190281797714[/C][/ROW]
[ROW][C]0.44[/C][C]91.2123927875876[/C][C]3.19144482056486[/C][/ROW]
[ROW][C]0.45[/C][C]91.7818203809353[/C][C]3.2373562878854[/C][/ROW]
[ROW][C]0.46[/C][C]92.3520614013571[/C][C]3.21449629920855[/C][/ROW]
[ROW][C]0.47[/C][C]92.9114295593609[/C][C]3.12313874452063[/C][/ROW]
[ROW][C]0.48[/C][C]93.4487800707948[/C][C]2.96869086456542[/C][/ROW]
[ROW][C]0.49[/C][C]93.9543458070121[/C][C]2.76158921356677[/C][/ROW]
[ROW][C]0.5[/C][C]94.4204214884607[/C][C]2.51551036698535[/C][/ROW]
[ROW][C]0.51[/C][C]94.8418141904567[/C][C]2.24588054566449[/C][/ROW]
[ROW][C]0.52[/C][C]95.216020090981[/C][C]1.96867134067877[/C][/ROW]
[ROW][C]0.53[/C][C]95.5431330073603[/C][C]1.69842119888808[/C][/ROW]
[ROW][C]0.54[/C][C]95.825529722088[/C][C]1.44724510897963[/C][/ROW]
[ROW][C]0.55[/C][C]96.0674028881379[/C][C]1.22427666847136[/C][/ROW]
[ROW][C]0.56[/C][C]96.2742211829032[/C][C]1.03544143548923[/C][/ROW]
[ROW][C]0.57[/C][C]96.4521895677482[/C][C]0.88377924722353[/C][/ROW]
[ROW][C]0.58[/C][C]96.6077646427764[/C][C]0.769936072475917[/C][/ROW]
[ROW][C]0.59[/C][C]96.747257412507[/C][C]0.69250474394921[/C][/ROW]
[ROW][C]0.6[/C][C]96.8765342677281[/C][C]0.648211502315783[/C][/ROW]
[ROW][C]0.61[/C][C]97.0008109077544[/C][C]0.632589961498381[/C][/ROW]
[ROW][C]0.62[/C][C]97.1245251757349[/C][C]0.639805752384299[/C][/ROW]
[ROW][C]0.63[/C][C]97.2512729958211[/C][C]0.66411967980356[/C][/ROW]
[ROW][C]0.64[/C][C]97.3837948106062[/C][C]0.700033094930366[/C][/ROW]
[ROW][C]0.65[/C][C]97.5240054082313[/C][C]0.74263027656933[/C][/ROW]
[ROW][C]0.66[/C][C]97.6730651600917[/C][C]0.787596915773559[/C][/ROW]
[ROW][C]0.67[/C][C]97.8314934546385[/C][C]0.831659238494318[/C][/ROW]
[ROW][C]0.68[/C][C]97.9993244056428[/C][C]0.87268277123581[/C][/ROW]
[ROW][C]0.69[/C][C]98.1763005711371[/C][C]0.909275021919322[/C][/ROW]
[ROW][C]0.7[/C][C]98.3620931340059[/C][C]0.941459469986965[/C][/ROW]
[ROW][C]0.71[/C][C]98.5565281883945[/C][C]0.970475734940843[/C][/ROW]
[ROW][C]0.72[/C][C]98.7597904536041[/C][C]0.998784466650868[/C][/ROW]
[ROW][C]0.73[/C][C]98.9725702757517[/C][C]1.02928332383176[/C][/ROW]
[ROW][C]0.74[/C][C]99.1961195663663[/C][C]1.06536146842935[/C][/ROW]
[ROW][C]0.75[/C][C]99.4321892208019[/C][C]1.10961273166922[/C][/ROW]
[ROW][C]0.76[/C][C]99.6828351941397[/C][C]1.16321633260438[/C][/ROW]
[ROW][C]0.77[/C][C]99.9501015617753[/C][C]1.22552630826038[/C][/ROW]
[ROW][C]0.78[/C][C]100.235613147391[/C][C]1.29335556043175[/C][/ROW]
[ROW][C]0.79[/C][C]100.540132401645[/C][C]1.36143286738552[/C][/ROW]
[ROW][C]0.8[/C][C]100.863149258823[/C][C]1.42289930737037[/C][/ROW]
[ROW][C]0.81[/C][C]101.202574167338[/C][C]1.46994705961061[/C][/ROW]
[ROW][C]0.82[/C][C]101.554592497832[/C][C]1.49532623826435[/C][/ROW]
[ROW][C]0.83[/C][C]101.91371712186[/C][C]1.49278830816663[/C][/ROW]
[ROW][C]0.84[/C][C]102.273053006537[/C][C]1.45817752983317[/C][/ROW]
[ROW][C]0.85[/C][C]102.624770695846[/C][C]1.39004918779391[/C][/ROW]
[ROW][C]0.86[/C][C]102.960775562796[/C][C]1.28983281475076[/C][/ROW]
[ROW][C]0.87[/C][C]103.273547004656[/C][C]1.16211021353406[/C][/ROW]
[ROW][C]0.88[/C][C]103.557088624416[/C][C]1.01459202644582[/C][/ROW]
[ROW][C]0.89[/C][C]103.807863636221[/C][C]0.858079767285506[/C][/ROW]
[ROW][C]0.9[/C][C]104.025498526002[/C][C]0.705180628108955[/C][/ROW]
[ROW][C]0.91[/C][C]104.212967181211[/C][C]0.569027461411872[/C][/ROW]
[ROW][C]0.92[/C][C]104.375995014332[/C][C]0.460494782842016[/C][/ROW]
[ROW][C]0.93[/C][C]104.521639018749[/C][C]0.384253594509803[/C][/ROW]
[ROW][C]0.94[/C][C]104.656466800502[/C][C]0.334964996484717[/C][/ROW]
[ROW][C]0.95[/C][C]104.785379463453[/C][C]0.298598982506302[/C][/ROW]
[ROW][C]0.96[/C][C]104.912304789358[/C][C]0.261785741297562[/C][/ROW]
[ROW][C]0.97[/C][C]105.042272984822[/C][C]0.226844630891784[/C][/ROW]
[ROW][C]0.98[/C][C]105.179712609299[/C][C]0.223341185972186[/C][/ROW]
[ROW][C]0.99[/C][C]105.315297669659[/C][C]0.27403360458467[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281988&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281988&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
0.0179.18394594909170.287338129295707
0.0279.39333865281920.490996367137704
0.0379.67127169329340.605580346165798
0.0479.96951895111490.620618167197701
0.0580.25482854295440.593827305783137
0.0680.51797989440370.59447320767596
0.0780.76937123287710.668649219763108
0.0881.02885348575410.82066115418907
0.0981.31594004194651.02416611877599
0.181.64323163156361.24226091680076
0.1182.01354501151841.43854535625829
0.1282.42016710047421.58295301366401
0.1382.84927445013791.65714947375386
0.1483.28343808559791.65625613979591
0.1583.70518677535641.58803363099175
0.1684.09983858426291.46813131644581
0.1784.45717887888371.31665795577191
0.1884.77194554975141.15269338257691
0.1985.04336730665670.992707128665913
0.285.27413556363120.848185928106643
0.2185.46918672973530.725952299810549
0.2285.63458036275970.628753719435934
0.2385.7766366295060.556614954874838
0.2485.90138600914880.507994964423414
0.2586.01430612701550.480551688668858
0.2686.12027850693750.472690655630465
0.2786.22368534103330.483290399478928
0.2886.32857313208340.512252713784773
0.2986.43882688873810.56041920061033
0.386.55831823170780.628607981962429
0.3186.69100836225020.718040591950826
0.3286.84099934343790.82995988646683
0.3387.0125332419320.965053074376767
0.3487.20993877979471.12419806086268
0.3587.43752139705241.30727880477489
0.3687.69938859750941.51308090710718
0.3787.99920226818011.73905368090475
0.3888.33985664201781.98061350529346
0.3988.72309575549262.23040495687895
0.489.14910542946032.47832235160492
0.4189.6161365709552.71198497848291
0.4290.12023165620682.91782085061694
0.4390.65512769431013.08190281797714
0.4491.21239278758763.19144482056486
0.4591.78182038093533.2373562878854
0.4692.35206140135713.21449629920855
0.4792.91142955936093.12313874452063
0.4893.44878007079482.96869086456542
0.4993.95434580701212.76158921356677
0.594.42042148846072.51551036698535
0.5194.84181419045672.24588054566449
0.5295.2160200909811.96867134067877
0.5395.54313300736031.69842119888808
0.5495.8255297220881.44724510897963
0.5596.06740288813791.22427666847136
0.5696.27422118290321.03544143548923
0.5796.45218956774820.88377924722353
0.5896.60776464277640.769936072475917
0.5996.7472574125070.69250474394921
0.696.87653426772810.648211502315783
0.6197.00081090775440.632589961498381
0.6297.12452517573490.639805752384299
0.6397.25127299582110.66411967980356
0.6497.38379481060620.700033094930366
0.6597.52400540823130.74263027656933
0.6697.67306516009170.787596915773559
0.6797.83149345463850.831659238494318
0.6897.99932440564280.87268277123581
0.6998.17630057113710.909275021919322
0.798.36209313400590.941459469986965
0.7198.55652818839450.970475734940843
0.7298.75979045360410.998784466650868
0.7398.97257027575171.02928332383176
0.7499.19611956636631.06536146842935
0.7599.43218922080191.10961273166922
0.7699.68283519413971.16321633260438
0.7799.95010156177531.22552630826038
0.78100.2356131473911.29335556043175
0.79100.5401324016451.36143286738552
0.8100.8631492588231.42289930737037
0.81101.2025741673381.46994705961061
0.82101.5545924978321.49532623826435
0.83101.913717121861.49278830816663
0.84102.2730530065371.45817752983317
0.85102.6247706958461.39004918779391
0.86102.9607755627961.28983281475076
0.87103.2735470046561.16211021353406
0.88103.5570886244161.01459202644582
0.89103.8078636362210.858079767285506
0.9104.0254985260020.705180628108955
0.91104.2129671812110.569027461411872
0.92104.3759950143320.460494782842016
0.93104.5216390187490.384253594509803
0.94104.6564668005020.334964996484717
0.95104.7853794634530.298598982506302
0.96104.9123047893580.261785741297562
0.97105.0422729848220.226844630891784
0.98105.1797126092990.223341185972186
0.99105.3152976696590.27403360458467


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')