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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 computationThu, 11 Oct 2012 12:43:14 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/11/t1349973829ixdp7xdww0lpodx.htm/, Retrieved Sat, 27 Apr 2024 23:28:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=175160, Retrieved Sat, 27 Apr 2024 23:28:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact77

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] [] [2012-10-11 16:43:14] [c22edb53782261805d75305d7c9e625a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
6.81
6.8
6.8
6.85
6.85
6.85
6.85
6.85
6.85
6.86
6.86
6.88
6.88
6.88
6.91
6.91
6.91
6.91
6.99
6.99
6.99
7.02
7.02
7.05
7.05
7.05
7.05
7.1
7.1
7.1
7.1
7.12
7.13
7.18
7.24
7.24
7.24
7.27
7.27
7.27
7.27
7.3
7.3
7.57
7.76
7.94
7.94
7.96
7.96
7.98
7.99
8
8
8.04
8.04
8.04
8.04
8.04
8.07
8.07
8.07
8.07
8.11
8.11
8.12
8.11
8.13
8.15
8.16
8.2
8.2
8.2

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'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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=175160&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=175160&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=175160&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.801809769423190.00555283763590093
0.026.806490193877540.0133622730120866
0.036.81386042119870.0191357368241601
0.046.822591317111080.0206334639677176
0.056.831080658380220.0183407255500877
0.066.838215676249050.0142248105259305
0.076.843636902677610.0102432471723498
0.086.847585172623080.00769753046014577
0.096.850593000451580.0071264013753991
0.16.85322231439030.00820830344709559
0.116.855921689127840.0102441851256453
0.126.858987132139070.0127437974789786
0.136.862581668110240.0154498740791604
0.146.866776070672890.0182358870171638
0.156.871589408949720.0210685618885004
0.166.877020469726780.023979035741114
0.176.883067569830870.0270281236032767
0.186.889737058144450.030283047491635
0.196.89704217739020.0337575004112813
0.26.904994952236250.0373918648520579
0.216.913594524333270.0410592760109523
0.226.922815651709610.0445649618005636
0.236.932600733978820.0477026584564288
0.246.942857700032390.0502585338428943
0.256.953464597702450.0520881226862271
0.266.964280113500080.0531151724537858
0.276.975157933181580.0533615531225121
0.286.985962152169910.0529248157120513
0.296.996580986004770.0519842378654234
0.37.006936714535270.0507375247444482
0.317.016990843607750.0494214872888669
0.327.026744543095030.0482293166343531
0.337.036235231146240.0473555864992664
0.347.045530565925830.0469245329578899
0.357.054721079237670.0470391665187309
0.367.06391237021110.0477564879979354
0.377.073217367008110.0490998940248649
0.387.082748853392990.051054546760862
0.397.092612378066760.0535640673719455
0.47.102899854807070.0565321460034453
0.417.113684551655830.0598274391110992
0.427.125018600198040.0633095562157959
0.437.136934426825570.0668253679801663
0.447.149451422117960.0702913934922992
0.457.16258859687320.0737061088164816
0.467.176382915113090.0772030839757953
0.477.190911574982210.0810728657651122
0.487.206314985331710.0858061358237357
0.497.222815903643380.092007692815121
0.57.240729527557650.100362017784492
0.517.260459581401890.111455946957495
0.527.282476792302720.125648533775412
0.537.307278589556080.142941950669965
0.547.335332125509690.162904825124661
0.557.367006301950520.184684803749638
0.567.402501699079120.20703000880269
0.577.441789378934630.228431385308776
0.587.484569804901880.247224635395263
0.597.53026120712350.261800291830297
0.67.578022702543130.270804385106621
0.617.626811936116590.273321809110109
0.627.675470982209090.268975494370753
0.637.722829005526480.25802517817753
0.647.76780692994030.241293259962456
0.657.809508904661030.220075582002984
0.667.847287857025260.19594658835557
0.677.880777338348770.170569225851008
0.687.909888083114890.14549027940166
0.697.934773807024770.121984200198294
0.77.955775449132680.100966819308599
0.717.973355425799950.082943449435055
0.727.988033246305330.0680632821137582
0.738.000331423345760.0561803985286313
0.748.010736860396740.0469394354363427
0.758.019678876825330.0399245000493972
0.768.027521696778340.0346882255522863
0.778.034567182789170.030870981374729
0.788.041062984504840.0281796784080357
0.798.047211840316330.0263853446752991
0.88.053179046666410.0253173547896174
0.818.059096649230850.0247975459860492
0.828.065064442594720.0246776816846146
0.838.071149286824130.0247824858763069
0.848.077385446538090.0249357169185387
0.858.083779304134470.0249851461591673
0.868.09032134349670.024809645398641
0.878.097006287685310.0244008654166533
0.888.103858849940840.0238775688365928
0.898.110958700171340.023477979202539
0.98.118455214972650.0234925054257691
0.918.126560709483840.0241423589705464
0.928.135509218392180.0254465774793321
0.938.145467104053750.0271440341775943
0.948.156389865430710.0285802852531232
0.958.167853488562970.0286538462434009
0.968.178956700739290.026044029264722
0.978.188451553796640.0200293672701495
0.988.195204181099970.0116704812671002
0.998.19882710916680.0039885292699109

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.80180976942319 & 0.00555283763590093 \tabularnewline
0.02 & 6.80649019387754 & 0.0133622730120866 \tabularnewline
0.03 & 6.8138604211987 & 0.0191357368241601 \tabularnewline
0.04 & 6.82259131711108 & 0.0206334639677176 \tabularnewline
0.05 & 6.83108065838022 & 0.0183407255500877 \tabularnewline
0.06 & 6.83821567624905 & 0.0142248105259305 \tabularnewline
0.07 & 6.84363690267761 & 0.0102432471723498 \tabularnewline
0.08 & 6.84758517262308 & 0.00769753046014577 \tabularnewline
0.09 & 6.85059300045158 & 0.0071264013753991 \tabularnewline
0.1 & 6.8532223143903 & 0.00820830344709559 \tabularnewline
0.11 & 6.85592168912784 & 0.0102441851256453 \tabularnewline
0.12 & 6.85898713213907 & 0.0127437974789786 \tabularnewline
0.13 & 6.86258166811024 & 0.0154498740791604 \tabularnewline
0.14 & 6.86677607067289 & 0.0182358870171638 \tabularnewline
0.15 & 6.87158940894972 & 0.0210685618885004 \tabularnewline
0.16 & 6.87702046972678 & 0.023979035741114 \tabularnewline
0.17 & 6.88306756983087 & 0.0270281236032767 \tabularnewline
0.18 & 6.88973705814445 & 0.030283047491635 \tabularnewline
0.19 & 6.8970421773902 & 0.0337575004112813 \tabularnewline
0.2 & 6.90499495223625 & 0.0373918648520579 \tabularnewline
0.21 & 6.91359452433327 & 0.0410592760109523 \tabularnewline
0.22 & 6.92281565170961 & 0.0445649618005636 \tabularnewline
0.23 & 6.93260073397882 & 0.0477026584564288 \tabularnewline
0.24 & 6.94285770003239 & 0.0502585338428943 \tabularnewline
0.25 & 6.95346459770245 & 0.0520881226862271 \tabularnewline
0.26 & 6.96428011350008 & 0.0531151724537858 \tabularnewline
0.27 & 6.97515793318158 & 0.0533615531225121 \tabularnewline
0.28 & 6.98596215216991 & 0.0529248157120513 \tabularnewline
0.29 & 6.99658098600477 & 0.0519842378654234 \tabularnewline
0.3 & 7.00693671453527 & 0.0507375247444482 \tabularnewline
0.31 & 7.01699084360775 & 0.0494214872888669 \tabularnewline
0.32 & 7.02674454309503 & 0.0482293166343531 \tabularnewline
0.33 & 7.03623523114624 & 0.0473555864992664 \tabularnewline
0.34 & 7.04553056592583 & 0.0469245329578899 \tabularnewline
0.35 & 7.05472107923767 & 0.0470391665187309 \tabularnewline
0.36 & 7.0639123702111 & 0.0477564879979354 \tabularnewline
0.37 & 7.07321736700811 & 0.0490998940248649 \tabularnewline
0.38 & 7.08274885339299 & 0.051054546760862 \tabularnewline
0.39 & 7.09261237806676 & 0.0535640673719455 \tabularnewline
0.4 & 7.10289985480707 & 0.0565321460034453 \tabularnewline
0.41 & 7.11368455165583 & 0.0598274391110992 \tabularnewline
0.42 & 7.12501860019804 & 0.0633095562157959 \tabularnewline
0.43 & 7.13693442682557 & 0.0668253679801663 \tabularnewline
0.44 & 7.14945142211796 & 0.0702913934922992 \tabularnewline
0.45 & 7.1625885968732 & 0.0737061088164816 \tabularnewline
0.46 & 7.17638291511309 & 0.0772030839757953 \tabularnewline
0.47 & 7.19091157498221 & 0.0810728657651122 \tabularnewline
0.48 & 7.20631498533171 & 0.0858061358237357 \tabularnewline
0.49 & 7.22281590364338 & 0.092007692815121 \tabularnewline
0.5 & 7.24072952755765 & 0.100362017784492 \tabularnewline
0.51 & 7.26045958140189 & 0.111455946957495 \tabularnewline
0.52 & 7.28247679230272 & 0.125648533775412 \tabularnewline
0.53 & 7.30727858955608 & 0.142941950669965 \tabularnewline
0.54 & 7.33533212550969 & 0.162904825124661 \tabularnewline
0.55 & 7.36700630195052 & 0.184684803749638 \tabularnewline
0.56 & 7.40250169907912 & 0.20703000880269 \tabularnewline
0.57 & 7.44178937893463 & 0.228431385308776 \tabularnewline
0.58 & 7.48456980490188 & 0.247224635395263 \tabularnewline
0.59 & 7.5302612071235 & 0.261800291830297 \tabularnewline
0.6 & 7.57802270254313 & 0.270804385106621 \tabularnewline
0.61 & 7.62681193611659 & 0.273321809110109 \tabularnewline
0.62 & 7.67547098220909 & 0.268975494370753 \tabularnewline
0.63 & 7.72282900552648 & 0.25802517817753 \tabularnewline
0.64 & 7.7678069299403 & 0.241293259962456 \tabularnewline
0.65 & 7.80950890466103 & 0.220075582002984 \tabularnewline
0.66 & 7.84728785702526 & 0.19594658835557 \tabularnewline
0.67 & 7.88077733834877 & 0.170569225851008 \tabularnewline
0.68 & 7.90988808311489 & 0.14549027940166 \tabularnewline
0.69 & 7.93477380702477 & 0.121984200198294 \tabularnewline
0.7 & 7.95577544913268 & 0.100966819308599 \tabularnewline
0.71 & 7.97335542579995 & 0.082943449435055 \tabularnewline
0.72 & 7.98803324630533 & 0.0680632821137582 \tabularnewline
0.73 & 8.00033142334576 & 0.0561803985286313 \tabularnewline
0.74 & 8.01073686039674 & 0.0469394354363427 \tabularnewline
0.75 & 8.01967887682533 & 0.0399245000493972 \tabularnewline
0.76 & 8.02752169677834 & 0.0346882255522863 \tabularnewline
0.77 & 8.03456718278917 & 0.030870981374729 \tabularnewline
0.78 & 8.04106298450484 & 0.0281796784080357 \tabularnewline
0.79 & 8.04721184031633 & 0.0263853446752991 \tabularnewline
0.8 & 8.05317904666641 & 0.0253173547896174 \tabularnewline
0.81 & 8.05909664923085 & 0.0247975459860492 \tabularnewline
0.82 & 8.06506444259472 & 0.0246776816846146 \tabularnewline
0.83 & 8.07114928682413 & 0.0247824858763069 \tabularnewline
0.84 & 8.07738544653809 & 0.0249357169185387 \tabularnewline
0.85 & 8.08377930413447 & 0.0249851461591673 \tabularnewline
0.86 & 8.0903213434967 & 0.024809645398641 \tabularnewline
0.87 & 8.09700628768531 & 0.0244008654166533 \tabularnewline
0.88 & 8.10385884994084 & 0.0238775688365928 \tabularnewline
0.89 & 8.11095870017134 & 0.023477979202539 \tabularnewline
0.9 & 8.11845521497265 & 0.0234925054257691 \tabularnewline
0.91 & 8.12656070948384 & 0.0241423589705464 \tabularnewline
0.92 & 8.13550921839218 & 0.0254465774793321 \tabularnewline
0.93 & 8.14546710405375 & 0.0271440341775943 \tabularnewline
0.94 & 8.15638986543071 & 0.0285802852531232 \tabularnewline
0.95 & 8.16785348856297 & 0.0286538462434009 \tabularnewline
0.96 & 8.17895670073929 & 0.026044029264722 \tabularnewline
0.97 & 8.18845155379664 & 0.0200293672701495 \tabularnewline
0.98 & 8.19520418109997 & 0.0116704812671002 \tabularnewline
0.99 & 8.1988271091668 & 0.0039885292699109 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=175160&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]6.80180976942319[/C][C]0.00555283763590093[/C][/ROW]
[ROW][C]0.02[/C][C]6.80649019387754[/C][C]0.0133622730120866[/C][/ROW]
[ROW][C]0.03[/C][C]6.8138604211987[/C][C]0.0191357368241601[/C][/ROW]
[ROW][C]0.04[/C][C]6.82259131711108[/C][C]0.0206334639677176[/C][/ROW]
[ROW][C]0.05[/C][C]6.83108065838022[/C][C]0.0183407255500877[/C][/ROW]
[ROW][C]0.06[/C][C]6.83821567624905[/C][C]0.0142248105259305[/C][/ROW]
[ROW][C]0.07[/C][C]6.84363690267761[/C][C]0.0102432471723498[/C][/ROW]
[ROW][C]0.08[/C][C]6.84758517262308[/C][C]0.00769753046014577[/C][/ROW]
[ROW][C]0.09[/C][C]6.85059300045158[/C][C]0.0071264013753991[/C][/ROW]
[ROW][C]0.1[/C][C]6.8532223143903[/C][C]0.00820830344709559[/C][/ROW]
[ROW][C]0.11[/C][C]6.85592168912784[/C][C]0.0102441851256453[/C][/ROW]
[ROW][C]0.12[/C][C]6.85898713213907[/C][C]0.0127437974789786[/C][/ROW]
[ROW][C]0.13[/C][C]6.86258166811024[/C][C]0.0154498740791604[/C][/ROW]
[ROW][C]0.14[/C][C]6.86677607067289[/C][C]0.0182358870171638[/C][/ROW]
[ROW][C]0.15[/C][C]6.87158940894972[/C][C]0.0210685618885004[/C][/ROW]
[ROW][C]0.16[/C][C]6.87702046972678[/C][C]0.023979035741114[/C][/ROW]
[ROW][C]0.17[/C][C]6.88306756983087[/C][C]0.0270281236032767[/C][/ROW]
[ROW][C]0.18[/C][C]6.88973705814445[/C][C]0.030283047491635[/C][/ROW]
[ROW][C]0.19[/C][C]6.8970421773902[/C][C]0.0337575004112813[/C][/ROW]
[ROW][C]0.2[/C][C]6.90499495223625[/C][C]0.0373918648520579[/C][/ROW]
[ROW][C]0.21[/C][C]6.91359452433327[/C][C]0.0410592760109523[/C][/ROW]
[ROW][C]0.22[/C][C]6.92281565170961[/C][C]0.0445649618005636[/C][/ROW]
[ROW][C]0.23[/C][C]6.93260073397882[/C][C]0.0477026584564288[/C][/ROW]
[ROW][C]0.24[/C][C]6.94285770003239[/C][C]0.0502585338428943[/C][/ROW]
[ROW][C]0.25[/C][C]6.95346459770245[/C][C]0.0520881226862271[/C][/ROW]
[ROW][C]0.26[/C][C]6.96428011350008[/C][C]0.0531151724537858[/C][/ROW]
[ROW][C]0.27[/C][C]6.97515793318158[/C][C]0.0533615531225121[/C][/ROW]
[ROW][C]0.28[/C][C]6.98596215216991[/C][C]0.0529248157120513[/C][/ROW]
[ROW][C]0.29[/C][C]6.99658098600477[/C][C]0.0519842378654234[/C][/ROW]
[ROW][C]0.3[/C][C]7.00693671453527[/C][C]0.0507375247444482[/C][/ROW]
[ROW][C]0.31[/C][C]7.01699084360775[/C][C]0.0494214872888669[/C][/ROW]
[ROW][C]0.32[/C][C]7.02674454309503[/C][C]0.0482293166343531[/C][/ROW]
[ROW][C]0.33[/C][C]7.03623523114624[/C][C]0.0473555864992664[/C][/ROW]
[ROW][C]0.34[/C][C]7.04553056592583[/C][C]0.0469245329578899[/C][/ROW]
[ROW][C]0.35[/C][C]7.05472107923767[/C][C]0.0470391665187309[/C][/ROW]
[ROW][C]0.36[/C][C]7.0639123702111[/C][C]0.0477564879979354[/C][/ROW]
[ROW][C]0.37[/C][C]7.07321736700811[/C][C]0.0490998940248649[/C][/ROW]
[ROW][C]0.38[/C][C]7.08274885339299[/C][C]0.051054546760862[/C][/ROW]
[ROW][C]0.39[/C][C]7.09261237806676[/C][C]0.0535640673719455[/C][/ROW]
[ROW][C]0.4[/C][C]7.10289985480707[/C][C]0.0565321460034453[/C][/ROW]
[ROW][C]0.41[/C][C]7.11368455165583[/C][C]0.0598274391110992[/C][/ROW]
[ROW][C]0.42[/C][C]7.12501860019804[/C][C]0.0633095562157959[/C][/ROW]
[ROW][C]0.43[/C][C]7.13693442682557[/C][C]0.0668253679801663[/C][/ROW]
[ROW][C]0.44[/C][C]7.14945142211796[/C][C]0.0702913934922992[/C][/ROW]
[ROW][C]0.45[/C][C]7.1625885968732[/C][C]0.0737061088164816[/C][/ROW]
[ROW][C]0.46[/C][C]7.17638291511309[/C][C]0.0772030839757953[/C][/ROW]
[ROW][C]0.47[/C][C]7.19091157498221[/C][C]0.0810728657651122[/C][/ROW]
[ROW][C]0.48[/C][C]7.20631498533171[/C][C]0.0858061358237357[/C][/ROW]
[ROW][C]0.49[/C][C]7.22281590364338[/C][C]0.092007692815121[/C][/ROW]
[ROW][C]0.5[/C][C]7.24072952755765[/C][C]0.100362017784492[/C][/ROW]
[ROW][C]0.51[/C][C]7.26045958140189[/C][C]0.111455946957495[/C][/ROW]
[ROW][C]0.52[/C][C]7.28247679230272[/C][C]0.125648533775412[/C][/ROW]
[ROW][C]0.53[/C][C]7.30727858955608[/C][C]0.142941950669965[/C][/ROW]
[ROW][C]0.54[/C][C]7.33533212550969[/C][C]0.162904825124661[/C][/ROW]
[ROW][C]0.55[/C][C]7.36700630195052[/C][C]0.184684803749638[/C][/ROW]
[ROW][C]0.56[/C][C]7.40250169907912[/C][C]0.20703000880269[/C][/ROW]
[ROW][C]0.57[/C][C]7.44178937893463[/C][C]0.228431385308776[/C][/ROW]
[ROW][C]0.58[/C][C]7.48456980490188[/C][C]0.247224635395263[/C][/ROW]
[ROW][C]0.59[/C][C]7.5302612071235[/C][C]0.261800291830297[/C][/ROW]
[ROW][C]0.6[/C][C]7.57802270254313[/C][C]0.270804385106621[/C][/ROW]
[ROW][C]0.61[/C][C]7.62681193611659[/C][C]0.273321809110109[/C][/ROW]
[ROW][C]0.62[/C][C]7.67547098220909[/C][C]0.268975494370753[/C][/ROW]
[ROW][C]0.63[/C][C]7.72282900552648[/C][C]0.25802517817753[/C][/ROW]
[ROW][C]0.64[/C][C]7.7678069299403[/C][C]0.241293259962456[/C][/ROW]
[ROW][C]0.65[/C][C]7.80950890466103[/C][C]0.220075582002984[/C][/ROW]
[ROW][C]0.66[/C][C]7.84728785702526[/C][C]0.19594658835557[/C][/ROW]
[ROW][C]0.67[/C][C]7.88077733834877[/C][C]0.170569225851008[/C][/ROW]
[ROW][C]0.68[/C][C]7.90988808311489[/C][C]0.14549027940166[/C][/ROW]
[ROW][C]0.69[/C][C]7.93477380702477[/C][C]0.121984200198294[/C][/ROW]
[ROW][C]0.7[/C][C]7.95577544913268[/C][C]0.100966819308599[/C][/ROW]
[ROW][C]0.71[/C][C]7.97335542579995[/C][C]0.082943449435055[/C][/ROW]
[ROW][C]0.72[/C][C]7.98803324630533[/C][C]0.0680632821137582[/C][/ROW]
[ROW][C]0.73[/C][C]8.00033142334576[/C][C]0.0561803985286313[/C][/ROW]
[ROW][C]0.74[/C][C]8.01073686039674[/C][C]0.0469394354363427[/C][/ROW]
[ROW][C]0.75[/C][C]8.01967887682533[/C][C]0.0399245000493972[/C][/ROW]
[ROW][C]0.76[/C][C]8.02752169677834[/C][C]0.0346882255522863[/C][/ROW]
[ROW][C]0.77[/C][C]8.03456718278917[/C][C]0.030870981374729[/C][/ROW]
[ROW][C]0.78[/C][C]8.04106298450484[/C][C]0.0281796784080357[/C][/ROW]
[ROW][C]0.79[/C][C]8.04721184031633[/C][C]0.0263853446752991[/C][/ROW]
[ROW][C]0.8[/C][C]8.05317904666641[/C][C]0.0253173547896174[/C][/ROW]
[ROW][C]0.81[/C][C]8.05909664923085[/C][C]0.0247975459860492[/C][/ROW]
[ROW][C]0.82[/C][C]8.06506444259472[/C][C]0.0246776816846146[/C][/ROW]
[ROW][C]0.83[/C][C]8.07114928682413[/C][C]0.0247824858763069[/C][/ROW]
[ROW][C]0.84[/C][C]8.07738544653809[/C][C]0.0249357169185387[/C][/ROW]
[ROW][C]0.85[/C][C]8.08377930413447[/C][C]0.0249851461591673[/C][/ROW]
[ROW][C]0.86[/C][C]8.0903213434967[/C][C]0.024809645398641[/C][/ROW]
[ROW][C]0.87[/C][C]8.09700628768531[/C][C]0.0244008654166533[/C][/ROW]
[ROW][C]0.88[/C][C]8.10385884994084[/C][C]0.0238775688365928[/C][/ROW]
[ROW][C]0.89[/C][C]8.11095870017134[/C][C]0.023477979202539[/C][/ROW]
[ROW][C]0.9[/C][C]8.11845521497265[/C][C]0.0234925054257691[/C][/ROW]
[ROW][C]0.91[/C][C]8.12656070948384[/C][C]0.0241423589705464[/C][/ROW]
[ROW][C]0.92[/C][C]8.13550921839218[/C][C]0.0254465774793321[/C][/ROW]
[ROW][C]0.93[/C][C]8.14546710405375[/C][C]0.0271440341775943[/C][/ROW]
[ROW][C]0.94[/C][C]8.15638986543071[/C][C]0.0285802852531232[/C][/ROW]
[ROW][C]0.95[/C][C]8.16785348856297[/C][C]0.0286538462434009[/C][/ROW]
[ROW][C]0.96[/C][C]8.17895670073929[/C][C]0.026044029264722[/C][/ROW]
[ROW][C]0.97[/C][C]8.18845155379664[/C][C]0.0200293672701495[/C][/ROW]
[ROW][C]0.98[/C][C]8.19520418109997[/C][C]0.0116704812671002[/C][/ROW]
[ROW][C]0.99[/C][C]8.1988271091668[/C][C]0.0039885292699109[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=175160&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=175160&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
0.016.801809769423190.00555283763590093
0.026.806490193877540.0133622730120866
0.036.81386042119870.0191357368241601
0.046.822591317111080.0206334639677176
0.056.831080658380220.0183407255500877
0.066.838215676249050.0142248105259305
0.076.843636902677610.0102432471723498
0.086.847585172623080.00769753046014577
0.096.850593000451580.0071264013753991
0.16.85322231439030.00820830344709559
0.116.855921689127840.0102441851256453
0.126.858987132139070.0127437974789786
0.136.862581668110240.0154498740791604
0.146.866776070672890.0182358870171638
0.156.871589408949720.0210685618885004
0.166.877020469726780.023979035741114
0.176.883067569830870.0270281236032767
0.186.889737058144450.030283047491635
0.196.89704217739020.0337575004112813
0.26.904994952236250.0373918648520579
0.216.913594524333270.0410592760109523
0.226.922815651709610.0445649618005636
0.236.932600733978820.0477026584564288
0.246.942857700032390.0502585338428943
0.256.953464597702450.0520881226862271
0.266.964280113500080.0531151724537858
0.276.975157933181580.0533615531225121
0.286.985962152169910.0529248157120513
0.296.996580986004770.0519842378654234
0.37.006936714535270.0507375247444482
0.317.016990843607750.0494214872888669
0.327.026744543095030.0482293166343531
0.337.036235231146240.0473555864992664
0.347.045530565925830.0469245329578899
0.357.054721079237670.0470391665187309
0.367.06391237021110.0477564879979354
0.377.073217367008110.0490998940248649
0.387.082748853392990.051054546760862
0.397.092612378066760.0535640673719455
0.47.102899854807070.0565321460034453
0.417.113684551655830.0598274391110992
0.427.125018600198040.0633095562157959
0.437.136934426825570.0668253679801663
0.447.149451422117960.0702913934922992
0.457.16258859687320.0737061088164816
0.467.176382915113090.0772030839757953
0.477.190911574982210.0810728657651122
0.487.206314985331710.0858061358237357
0.497.222815903643380.092007692815121
0.57.240729527557650.100362017784492
0.517.260459581401890.111455946957495
0.527.282476792302720.125648533775412
0.537.307278589556080.142941950669965
0.547.335332125509690.162904825124661
0.557.367006301950520.184684803749638
0.567.402501699079120.20703000880269
0.577.441789378934630.228431385308776
0.587.484569804901880.247224635395263
0.597.53026120712350.261800291830297
0.67.578022702543130.270804385106621
0.617.626811936116590.273321809110109
0.627.675470982209090.268975494370753
0.637.722829005526480.25802517817753
0.647.76780692994030.241293259962456
0.657.809508904661030.220075582002984
0.667.847287857025260.19594658835557
0.677.880777338348770.170569225851008
0.687.909888083114890.14549027940166
0.697.934773807024770.121984200198294
0.77.955775449132680.100966819308599
0.717.973355425799950.082943449435055
0.727.988033246305330.0680632821137582
0.738.000331423345760.0561803985286313
0.748.010736860396740.0469394354363427
0.758.019678876825330.0399245000493972
0.768.027521696778340.0346882255522863
0.778.034567182789170.030870981374729
0.788.041062984504840.0281796784080357
0.798.047211840316330.0263853446752991
0.88.053179046666410.0253173547896174
0.818.059096649230850.0247975459860492
0.828.065064442594720.0246776816846146
0.838.071149286824130.0247824858763069
0.848.077385446538090.0249357169185387
0.858.083779304134470.0249851461591673
0.868.09032134349670.024809645398641
0.878.097006287685310.0244008654166533
0.888.103858849940840.0238775688365928
0.898.110958700171340.023477979202539
0.98.118455214972650.0234925054257691
0.918.126560709483840.0241423589705464
0.928.135509218392180.0254465774793321
0.938.145467104053750.0271440341775943
0.948.156389865430710.0285802852531232
0.958.167853488562970.0286538462434009
0.968.178956700739290.026044029264722
0.978.188451553796640.0200293672701495
0.988.195204181099970.0116704812671002
0.998.19882710916680.0039885292699109


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')