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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 19 Nov 2010 13:39:21 +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/2010/Nov/19/t1290173896mso504e92a9q89u.htm/, Retrieved Sat, 04 May 2024 03:55:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=97980, Retrieved Sat, 04 May 2024 03:55:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact116

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] [PAP] [2010-11-19 13:39:21] [5398da98f4f83c6a353e4d3806d4bcaa] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 3 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97980&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97980&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97980&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 time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-0.1578947935555150.148873812052282
0.02-0.01624999646955320.0108368994374505
0.03-0.007319067225060770.00134760839941429
0.04-0.006011647229310340.00102968667936814
0.05-0.005168623994093910.000778314653137043
0.06-0.004682962769964030.000354303647504497
0.07-0.004498802223403760.000112564693383544
0.08-0.004423163911326080.000123767224008898
0.09-0.004301207838733530.000329737715155851
0.1-0.004024193113019670.00069749541754654
0.11-0.003525722108948790.00112968974976517
0.12-0.002824136956246590.00143772270342833
0.13-0.002034193556902250.00147095634468654
0.14-0.001307373544621040.00123717804667424
0.15-0.0007491016109463880.000876352228514849
0.16-0.0003833143021811790.000535212601688113
0.17-0.0001750722861239250.000286335439860307
0.18-7.10020667686765e-050.000134605562890828
0.19-2.53434052424193e-055.51802925591241e-05
0.2-7.88532353085083e-061.95061936531818e-05
0.21-2.12177609240881e-065.8920045164337e-06
0.22-4.91198992899647e-071.51288704065886e-06
0.23-9.75844433411923e-083.29664033086605e-07
0.24-1.66275410314736e-086.10049361824227e-08
0.25-2.43192352155394e-099.60731213738904e-09
0.26-3.05835293551496e-101.29125697812876e-09
0.27-3.31665396969745e-111.48578747073846e-10
0.28-3.13718219756065e-121.46831522285869e-11
0.29-2.88917447910216e-131.25020148709869e-12
0.3-5.55352256431174e-149.20702150299379e-14
0.31-3.89259352267069e-145.94994756694421e-15
0.32-3.78631353902861e-143.92185416094685e-16
0.33-3.77798206513692e-146.90979543568255e-17
0.34-3.77597665793655e-143.5431693418761e-17
0.35-3.77469420376872e-143.39115509689838e-17
0.36-3.77286388502006e-147.27152770557159e-17
0.37-3.76853572128512e-141.87043218057184e-16
0.38-3.75788880496748e-144.47308314690402e-16
0.39-3.73395625533053e-149.6025709036474e-16
0.4-3.68566351652355e-141.84616682848227e-15
0.41-3.5981973056701e-143.1857216167009e-15
0.42-3.45574052984552e-144.94397962344511e-15
0.43-3.24675089725424e-146.91029398736457e-15
0.44-2.97030032024349e-148.70538344619846e-15
0.45-2.64043944216373e-149.8845993488966e-15
0.46-2.28548283714431e-141.01103502918415e-14
0.47-1.94124981168501e-149.3062339755479e-15
0.48-1.64069804296024e-147.69921667797197e-15
0.49-1.40472616929442e-145.71759221147043e-15
0.5-1.23830727743463e-143.80750460089027e-15
0.51-1.13289672894056e-142.27507203508388e-15
0.52-1.07264375212972e-141.23091806195747e-15
0.53-1.04065394498724e-146.3507328904145e-16
0.54-1.0227529916888e-143.90782158279593e-16
0.55-1.00843034049595e-144.12989659133262e-16
0.56-9.90229071624962e-156.14447224979765e-16
0.57-9.63116108590832e-159.19225397322647e-16
0.58-9.24605745635519e-151.24929169258281e-15
0.59-8.75311126789195e-151.5130282424994e-15
0.6-8.18869849743068e-151.63694181626294e-15
0.61-7.60308492717163e-151.61467309973521e-15
0.62-7.02825575513988e-151.54322874318008e-15
0.63-6.44039498372768e-151.62924435914797e-15
0.64-5.73094886514244e-152.14822880656907e-15
0.65-4.6478375499539e-153.55991939248123e-15
0.66-1.87854325276019e-151.13262565656437e-14
0.671.82788656255079e-141.08345735501706e-13
0.682.49534918181819e-131.27835684780652e-12
0.692.79479579908163e-121.36466468373939e-11
0.72.74449760528324e-111.27054465757594e-10
0.712.35003237779121e-101.02525946004401e-09
0.721.74894283553056e-097.14775284124107e-09
0.731.12876694969714e-084.29230242456378e-08
0.746.30551164408799e-082.21337756453995e-07
0.753.04377331444988e-079.77092503003062e-07
0.761.26826765911489e-063.68241171309528e-06
0.774.56140174980177e-061.18258092152287e-05
0.781.4185592712053e-053.23654638344354e-05
0.793.83285372374528e-057.58010022118673e-05
0.89.07996319175624e-050.000153637333733065
0.810.0001913386415805630.000275346330027275
0.820.0003654036593598050.000449511145950692
0.830.0006439233175436460.000684297075274502
0.840.001058111329985670.000968501582709559
0.850.001620595770592990.0012375327293543
0.860.002297323175814990.00137739948022354
0.870.002997864960568580.0012981258036135
0.880.003607607244782580.0010143448088366
0.890.004044862641996940.000643562480112743
0.90.004297525788493730.000322945024349776
0.910.004414373351438630.000128249606827275
0.920.004473944149691177.76744637522894e-05
0.930.004580402652781210.000213162886657636
0.940.004880412252945610.000540356514831109
0.950.005471398269753270.000850853778672339
0.960.006255068184588410.000869024011847392
0.970.007332765843415040.0011318886051183
0.980.01310660566629370.00674596040012683
0.990.09509096382905920.0831852007027175

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -0.157894793555515 & 0.148873812052282 \tabularnewline
0.02 & -0.0162499964695532 & 0.0108368994374505 \tabularnewline
0.03 & -0.00731906722506077 & 0.00134760839941429 \tabularnewline
0.04 & -0.00601164722931034 & 0.00102968667936814 \tabularnewline
0.05 & -0.00516862399409391 & 0.000778314653137043 \tabularnewline
0.06 & -0.00468296276996403 & 0.000354303647504497 \tabularnewline
0.07 & -0.00449880222340376 & 0.000112564693383544 \tabularnewline
0.08 & -0.00442316391132608 & 0.000123767224008898 \tabularnewline
0.09 & -0.00430120783873353 & 0.000329737715155851 \tabularnewline
0.1 & -0.00402419311301967 & 0.00069749541754654 \tabularnewline
0.11 & -0.00352572210894879 & 0.00112968974976517 \tabularnewline
0.12 & -0.00282413695624659 & 0.00143772270342833 \tabularnewline
0.13 & -0.00203419355690225 & 0.00147095634468654 \tabularnewline
0.14 & -0.00130737354462104 & 0.00123717804667424 \tabularnewline
0.15 & -0.000749101610946388 & 0.000876352228514849 \tabularnewline
0.16 & -0.000383314302181179 & 0.000535212601688113 \tabularnewline
0.17 & -0.000175072286123925 & 0.000286335439860307 \tabularnewline
0.18 & -7.10020667686765e-05 & 0.000134605562890828 \tabularnewline
0.19 & -2.53434052424193e-05 & 5.51802925591241e-05 \tabularnewline
0.2 & -7.88532353085083e-06 & 1.95061936531818e-05 \tabularnewline
0.21 & -2.12177609240881e-06 & 5.8920045164337e-06 \tabularnewline
0.22 & -4.91198992899647e-07 & 1.51288704065886e-06 \tabularnewline
0.23 & -9.75844433411923e-08 & 3.29664033086605e-07 \tabularnewline
0.24 & -1.66275410314736e-08 & 6.10049361824227e-08 \tabularnewline
0.25 & -2.43192352155394e-09 & 9.60731213738904e-09 \tabularnewline
0.26 & -3.05835293551496e-10 & 1.29125697812876e-09 \tabularnewline
0.27 & -3.31665396969745e-11 & 1.48578747073846e-10 \tabularnewline
0.28 & -3.13718219756065e-12 & 1.46831522285869e-11 \tabularnewline
0.29 & -2.88917447910216e-13 & 1.25020148709869e-12 \tabularnewline
0.3 & -5.55352256431174e-14 & 9.20702150299379e-14 \tabularnewline
0.31 & -3.89259352267069e-14 & 5.94994756694421e-15 \tabularnewline
0.32 & -3.78631353902861e-14 & 3.92185416094685e-16 \tabularnewline
0.33 & -3.77798206513692e-14 & 6.90979543568255e-17 \tabularnewline
0.34 & -3.77597665793655e-14 & 3.5431693418761e-17 \tabularnewline
0.35 & -3.77469420376872e-14 & 3.39115509689838e-17 \tabularnewline
0.36 & -3.77286388502006e-14 & 7.27152770557159e-17 \tabularnewline
0.37 & -3.76853572128512e-14 & 1.87043218057184e-16 \tabularnewline
0.38 & -3.75788880496748e-14 & 4.47308314690402e-16 \tabularnewline
0.39 & -3.73395625533053e-14 & 9.6025709036474e-16 \tabularnewline
0.4 & -3.68566351652355e-14 & 1.84616682848227e-15 \tabularnewline
0.41 & -3.5981973056701e-14 & 3.1857216167009e-15 \tabularnewline
0.42 & -3.45574052984552e-14 & 4.94397962344511e-15 \tabularnewline
0.43 & -3.24675089725424e-14 & 6.91029398736457e-15 \tabularnewline
0.44 & -2.97030032024349e-14 & 8.70538344619846e-15 \tabularnewline
0.45 & -2.64043944216373e-14 & 9.8845993488966e-15 \tabularnewline
0.46 & -2.28548283714431e-14 & 1.01103502918415e-14 \tabularnewline
0.47 & -1.94124981168501e-14 & 9.3062339755479e-15 \tabularnewline
0.48 & -1.64069804296024e-14 & 7.69921667797197e-15 \tabularnewline
0.49 & -1.40472616929442e-14 & 5.71759221147043e-15 \tabularnewline
0.5 & -1.23830727743463e-14 & 3.80750460089027e-15 \tabularnewline
0.51 & -1.13289672894056e-14 & 2.27507203508388e-15 \tabularnewline
0.52 & -1.07264375212972e-14 & 1.23091806195747e-15 \tabularnewline
0.53 & -1.04065394498724e-14 & 6.3507328904145e-16 \tabularnewline
0.54 & -1.0227529916888e-14 & 3.90782158279593e-16 \tabularnewline
0.55 & -1.00843034049595e-14 & 4.12989659133262e-16 \tabularnewline
0.56 & -9.90229071624962e-15 & 6.14447224979765e-16 \tabularnewline
0.57 & -9.63116108590832e-15 & 9.19225397322647e-16 \tabularnewline
0.58 & -9.24605745635519e-15 & 1.24929169258281e-15 \tabularnewline
0.59 & -8.75311126789195e-15 & 1.5130282424994e-15 \tabularnewline
0.6 & -8.18869849743068e-15 & 1.63694181626294e-15 \tabularnewline
0.61 & -7.60308492717163e-15 & 1.61467309973521e-15 \tabularnewline
0.62 & -7.02825575513988e-15 & 1.54322874318008e-15 \tabularnewline
0.63 & -6.44039498372768e-15 & 1.62924435914797e-15 \tabularnewline
0.64 & -5.73094886514244e-15 & 2.14822880656907e-15 \tabularnewline
0.65 & -4.6478375499539e-15 & 3.55991939248123e-15 \tabularnewline
0.66 & -1.87854325276019e-15 & 1.13262565656437e-14 \tabularnewline
0.67 & 1.82788656255079e-14 & 1.08345735501706e-13 \tabularnewline
0.68 & 2.49534918181819e-13 & 1.27835684780652e-12 \tabularnewline
0.69 & 2.79479579908163e-12 & 1.36466468373939e-11 \tabularnewline
0.7 & 2.74449760528324e-11 & 1.27054465757594e-10 \tabularnewline
0.71 & 2.35003237779121e-10 & 1.02525946004401e-09 \tabularnewline
0.72 & 1.74894283553056e-09 & 7.14775284124107e-09 \tabularnewline
0.73 & 1.12876694969714e-08 & 4.29230242456378e-08 \tabularnewline
0.74 & 6.30551164408799e-08 & 2.21337756453995e-07 \tabularnewline
0.75 & 3.04377331444988e-07 & 9.77092503003062e-07 \tabularnewline
0.76 & 1.26826765911489e-06 & 3.68241171309528e-06 \tabularnewline
0.77 & 4.56140174980177e-06 & 1.18258092152287e-05 \tabularnewline
0.78 & 1.4185592712053e-05 & 3.23654638344354e-05 \tabularnewline
0.79 & 3.83285372374528e-05 & 7.58010022118673e-05 \tabularnewline
0.8 & 9.07996319175624e-05 & 0.000153637333733065 \tabularnewline
0.81 & 0.000191338641580563 & 0.000275346330027275 \tabularnewline
0.82 & 0.000365403659359805 & 0.000449511145950692 \tabularnewline
0.83 & 0.000643923317543646 & 0.000684297075274502 \tabularnewline
0.84 & 0.00105811132998567 & 0.000968501582709559 \tabularnewline
0.85 & 0.00162059577059299 & 0.0012375327293543 \tabularnewline
0.86 & 0.00229732317581499 & 0.00137739948022354 \tabularnewline
0.87 & 0.00299786496056858 & 0.0012981258036135 \tabularnewline
0.88 & 0.00360760724478258 & 0.0010143448088366 \tabularnewline
0.89 & 0.00404486264199694 & 0.000643562480112743 \tabularnewline
0.9 & 0.00429752578849373 & 0.000322945024349776 \tabularnewline
0.91 & 0.00441437335143863 & 0.000128249606827275 \tabularnewline
0.92 & 0.00447394414969117 & 7.76744637522894e-05 \tabularnewline
0.93 & 0.00458040265278121 & 0.000213162886657636 \tabularnewline
0.94 & 0.00488041225294561 & 0.000540356514831109 \tabularnewline
0.95 & 0.00547139826975327 & 0.000850853778672339 \tabularnewline
0.96 & 0.00625506818458841 & 0.000869024011847392 \tabularnewline
0.97 & 0.00733276584341504 & 0.0011318886051183 \tabularnewline
0.98 & 0.0131066056662937 & 0.00674596040012683 \tabularnewline
0.99 & 0.0950909638290592 & 0.0831852007027175 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97980&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]-0.157894793555515[/C][C]0.148873812052282[/C][/ROW]
[ROW][C]0.02[/C][C]-0.0162499964695532[/C][C]0.0108368994374505[/C][/ROW]
[ROW][C]0.03[/C][C]-0.00731906722506077[/C][C]0.00134760839941429[/C][/ROW]
[ROW][C]0.04[/C][C]-0.00601164722931034[/C][C]0.00102968667936814[/C][/ROW]
[ROW][C]0.05[/C][C]-0.00516862399409391[/C][C]0.000778314653137043[/C][/ROW]
[ROW][C]0.06[/C][C]-0.00468296276996403[/C][C]0.000354303647504497[/C][/ROW]
[ROW][C]0.07[/C][C]-0.00449880222340376[/C][C]0.000112564693383544[/C][/ROW]
[ROW][C]0.08[/C][C]-0.00442316391132608[/C][C]0.000123767224008898[/C][/ROW]
[ROW][C]0.09[/C][C]-0.00430120783873353[/C][C]0.000329737715155851[/C][/ROW]
[ROW][C]0.1[/C][C]-0.00402419311301967[/C][C]0.00069749541754654[/C][/ROW]
[ROW][C]0.11[/C][C]-0.00352572210894879[/C][C]0.00112968974976517[/C][/ROW]
[ROW][C]0.12[/C][C]-0.00282413695624659[/C][C]0.00143772270342833[/C][/ROW]
[ROW][C]0.13[/C][C]-0.00203419355690225[/C][C]0.00147095634468654[/C][/ROW]
[ROW][C]0.14[/C][C]-0.00130737354462104[/C][C]0.00123717804667424[/C][/ROW]
[ROW][C]0.15[/C][C]-0.000749101610946388[/C][C]0.000876352228514849[/C][/ROW]
[ROW][C]0.16[/C][C]-0.000383314302181179[/C][C]0.000535212601688113[/C][/ROW]
[ROW][C]0.17[/C][C]-0.000175072286123925[/C][C]0.000286335439860307[/C][/ROW]
[ROW][C]0.18[/C][C]-7.10020667686765e-05[/C][C]0.000134605562890828[/C][/ROW]
[ROW][C]0.19[/C][C]-2.53434052424193e-05[/C][C]5.51802925591241e-05[/C][/ROW]
[ROW][C]0.2[/C][C]-7.88532353085083e-06[/C][C]1.95061936531818e-05[/C][/ROW]
[ROW][C]0.21[/C][C]-2.12177609240881e-06[/C][C]5.8920045164337e-06[/C][/ROW]
[ROW][C]0.22[/C][C]-4.91198992899647e-07[/C][C]1.51288704065886e-06[/C][/ROW]
[ROW][C]0.23[/C][C]-9.75844433411923e-08[/C][C]3.29664033086605e-07[/C][/ROW]
[ROW][C]0.24[/C][C]-1.66275410314736e-08[/C][C]6.10049361824227e-08[/C][/ROW]
[ROW][C]0.25[/C][C]-2.43192352155394e-09[/C][C]9.60731213738904e-09[/C][/ROW]
[ROW][C]0.26[/C][C]-3.05835293551496e-10[/C][C]1.29125697812876e-09[/C][/ROW]
[ROW][C]0.27[/C][C]-3.31665396969745e-11[/C][C]1.48578747073846e-10[/C][/ROW]
[ROW][C]0.28[/C][C]-3.13718219756065e-12[/C][C]1.46831522285869e-11[/C][/ROW]
[ROW][C]0.29[/C][C]-2.88917447910216e-13[/C][C]1.25020148709869e-12[/C][/ROW]
[ROW][C]0.3[/C][C]-5.55352256431174e-14[/C][C]9.20702150299379e-14[/C][/ROW]
[ROW][C]0.31[/C][C]-3.89259352267069e-14[/C][C]5.94994756694421e-15[/C][/ROW]
[ROW][C]0.32[/C][C]-3.78631353902861e-14[/C][C]3.92185416094685e-16[/C][/ROW]
[ROW][C]0.33[/C][C]-3.77798206513692e-14[/C][C]6.90979543568255e-17[/C][/ROW]
[ROW][C]0.34[/C][C]-3.77597665793655e-14[/C][C]3.5431693418761e-17[/C][/ROW]
[ROW][C]0.35[/C][C]-3.77469420376872e-14[/C][C]3.39115509689838e-17[/C][/ROW]
[ROW][C]0.36[/C][C]-3.77286388502006e-14[/C][C]7.27152770557159e-17[/C][/ROW]
[ROW][C]0.37[/C][C]-3.76853572128512e-14[/C][C]1.87043218057184e-16[/C][/ROW]
[ROW][C]0.38[/C][C]-3.75788880496748e-14[/C][C]4.47308314690402e-16[/C][/ROW]
[ROW][C]0.39[/C][C]-3.73395625533053e-14[/C][C]9.6025709036474e-16[/C][/ROW]
[ROW][C]0.4[/C][C]-3.68566351652355e-14[/C][C]1.84616682848227e-15[/C][/ROW]
[ROW][C]0.41[/C][C]-3.5981973056701e-14[/C][C]3.1857216167009e-15[/C][/ROW]
[ROW][C]0.42[/C][C]-3.45574052984552e-14[/C][C]4.94397962344511e-15[/C][/ROW]
[ROW][C]0.43[/C][C]-3.24675089725424e-14[/C][C]6.91029398736457e-15[/C][/ROW]
[ROW][C]0.44[/C][C]-2.97030032024349e-14[/C][C]8.70538344619846e-15[/C][/ROW]
[ROW][C]0.45[/C][C]-2.64043944216373e-14[/C][C]9.8845993488966e-15[/C][/ROW]
[ROW][C]0.46[/C][C]-2.28548283714431e-14[/C][C]1.01103502918415e-14[/C][/ROW]
[ROW][C]0.47[/C][C]-1.94124981168501e-14[/C][C]9.3062339755479e-15[/C][/ROW]
[ROW][C]0.48[/C][C]-1.64069804296024e-14[/C][C]7.69921667797197e-15[/C][/ROW]
[ROW][C]0.49[/C][C]-1.40472616929442e-14[/C][C]5.71759221147043e-15[/C][/ROW]
[ROW][C]0.5[/C][C]-1.23830727743463e-14[/C][C]3.80750460089027e-15[/C][/ROW]
[ROW][C]0.51[/C][C]-1.13289672894056e-14[/C][C]2.27507203508388e-15[/C][/ROW]
[ROW][C]0.52[/C][C]-1.07264375212972e-14[/C][C]1.23091806195747e-15[/C][/ROW]
[ROW][C]0.53[/C][C]-1.04065394498724e-14[/C][C]6.3507328904145e-16[/C][/ROW]
[ROW][C]0.54[/C][C]-1.0227529916888e-14[/C][C]3.90782158279593e-16[/C][/ROW]
[ROW][C]0.55[/C][C]-1.00843034049595e-14[/C][C]4.12989659133262e-16[/C][/ROW]
[ROW][C]0.56[/C][C]-9.90229071624962e-15[/C][C]6.14447224979765e-16[/C][/ROW]
[ROW][C]0.57[/C][C]-9.63116108590832e-15[/C][C]9.19225397322647e-16[/C][/ROW]
[ROW][C]0.58[/C][C]-9.24605745635519e-15[/C][C]1.24929169258281e-15[/C][/ROW]
[ROW][C]0.59[/C][C]-8.75311126789195e-15[/C][C]1.5130282424994e-15[/C][/ROW]
[ROW][C]0.6[/C][C]-8.18869849743068e-15[/C][C]1.63694181626294e-15[/C][/ROW]
[ROW][C]0.61[/C][C]-7.60308492717163e-15[/C][C]1.61467309973521e-15[/C][/ROW]
[ROW][C]0.62[/C][C]-7.02825575513988e-15[/C][C]1.54322874318008e-15[/C][/ROW]
[ROW][C]0.63[/C][C]-6.44039498372768e-15[/C][C]1.62924435914797e-15[/C][/ROW]
[ROW][C]0.64[/C][C]-5.73094886514244e-15[/C][C]2.14822880656907e-15[/C][/ROW]
[ROW][C]0.65[/C][C]-4.6478375499539e-15[/C][C]3.55991939248123e-15[/C][/ROW]
[ROW][C]0.66[/C][C]-1.87854325276019e-15[/C][C]1.13262565656437e-14[/C][/ROW]
[ROW][C]0.67[/C][C]1.82788656255079e-14[/C][C]1.08345735501706e-13[/C][/ROW]
[ROW][C]0.68[/C][C]2.49534918181819e-13[/C][C]1.27835684780652e-12[/C][/ROW]
[ROW][C]0.69[/C][C]2.79479579908163e-12[/C][C]1.36466468373939e-11[/C][/ROW]
[ROW][C]0.7[/C][C]2.74449760528324e-11[/C][C]1.27054465757594e-10[/C][/ROW]
[ROW][C]0.71[/C][C]2.35003237779121e-10[/C][C]1.02525946004401e-09[/C][/ROW]
[ROW][C]0.72[/C][C]1.74894283553056e-09[/C][C]7.14775284124107e-09[/C][/ROW]
[ROW][C]0.73[/C][C]1.12876694969714e-08[/C][C]4.29230242456378e-08[/C][/ROW]
[ROW][C]0.74[/C][C]6.30551164408799e-08[/C][C]2.21337756453995e-07[/C][/ROW]
[ROW][C]0.75[/C][C]3.04377331444988e-07[/C][C]9.77092503003062e-07[/C][/ROW]
[ROW][C]0.76[/C][C]1.26826765911489e-06[/C][C]3.68241171309528e-06[/C][/ROW]
[ROW][C]0.77[/C][C]4.56140174980177e-06[/C][C]1.18258092152287e-05[/C][/ROW]
[ROW][C]0.78[/C][C]1.4185592712053e-05[/C][C]3.23654638344354e-05[/C][/ROW]
[ROW][C]0.79[/C][C]3.83285372374528e-05[/C][C]7.58010022118673e-05[/C][/ROW]
[ROW][C]0.8[/C][C]9.07996319175624e-05[/C][C]0.000153637333733065[/C][/ROW]
[ROW][C]0.81[/C][C]0.000191338641580563[/C][C]0.000275346330027275[/C][/ROW]
[ROW][C]0.82[/C][C]0.000365403659359805[/C][C]0.000449511145950692[/C][/ROW]
[ROW][C]0.83[/C][C]0.000643923317543646[/C][C]0.000684297075274502[/C][/ROW]
[ROW][C]0.84[/C][C]0.00105811132998567[/C][C]0.000968501582709559[/C][/ROW]
[ROW][C]0.85[/C][C]0.00162059577059299[/C][C]0.0012375327293543[/C][/ROW]
[ROW][C]0.86[/C][C]0.00229732317581499[/C][C]0.00137739948022354[/C][/ROW]
[ROW][C]0.87[/C][C]0.00299786496056858[/C][C]0.0012981258036135[/C][/ROW]
[ROW][C]0.88[/C][C]0.00360760724478258[/C][C]0.0010143448088366[/C][/ROW]
[ROW][C]0.89[/C][C]0.00404486264199694[/C][C]0.000643562480112743[/C][/ROW]
[ROW][C]0.9[/C][C]0.00429752578849373[/C][C]0.000322945024349776[/C][/ROW]
[ROW][C]0.91[/C][C]0.00441437335143863[/C][C]0.000128249606827275[/C][/ROW]
[ROW][C]0.92[/C][C]0.00447394414969117[/C][C]7.76744637522894e-05[/C][/ROW]
[ROW][C]0.93[/C][C]0.00458040265278121[/C][C]0.000213162886657636[/C][/ROW]
[ROW][C]0.94[/C][C]0.00488041225294561[/C][C]0.000540356514831109[/C][/ROW]
[ROW][C]0.95[/C][C]0.00547139826975327[/C][C]0.000850853778672339[/C][/ROW]
[ROW][C]0.96[/C][C]0.00625506818458841[/C][C]0.000869024011847392[/C][/ROW]
[ROW][C]0.97[/C][C]0.00733276584341504[/C][C]0.0011318886051183[/C][/ROW]
[ROW][C]0.98[/C][C]0.0131066056662937[/C][C]0.00674596040012683[/C][/ROW]
[ROW][C]0.99[/C][C]0.0950909638290592[/C][C]0.0831852007027175[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97980&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97980&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
0.01-0.1578947935555150.148873812052282
0.02-0.01624999646955320.0108368994374505
0.03-0.007319067225060770.00134760839941429
0.04-0.006011647229310340.00102968667936814
0.05-0.005168623994093910.000778314653137043
0.06-0.004682962769964030.000354303647504497
0.07-0.004498802223403760.000112564693383544
0.08-0.004423163911326080.000123767224008898
0.09-0.004301207838733530.000329737715155851
0.1-0.004024193113019670.00069749541754654
0.11-0.003525722108948790.00112968974976517
0.12-0.002824136956246590.00143772270342833
0.13-0.002034193556902250.00147095634468654
0.14-0.001307373544621040.00123717804667424
0.15-0.0007491016109463880.000876352228514849
0.16-0.0003833143021811790.000535212601688113
0.17-0.0001750722861239250.000286335439860307
0.18-7.10020667686765e-050.000134605562890828
0.19-2.53434052424193e-055.51802925591241e-05
0.2-7.88532353085083e-061.95061936531818e-05
0.21-2.12177609240881e-065.8920045164337e-06
0.22-4.91198992899647e-071.51288704065886e-06
0.23-9.75844433411923e-083.29664033086605e-07
0.24-1.66275410314736e-086.10049361824227e-08
0.25-2.43192352155394e-099.60731213738904e-09
0.26-3.05835293551496e-101.29125697812876e-09
0.27-3.31665396969745e-111.48578747073846e-10
0.28-3.13718219756065e-121.46831522285869e-11
0.29-2.88917447910216e-131.25020148709869e-12
0.3-5.55352256431174e-149.20702150299379e-14
0.31-3.89259352267069e-145.94994756694421e-15
0.32-3.78631353902861e-143.92185416094685e-16
0.33-3.77798206513692e-146.90979543568255e-17
0.34-3.77597665793655e-143.5431693418761e-17
0.35-3.77469420376872e-143.39115509689838e-17
0.36-3.77286388502006e-147.27152770557159e-17
0.37-3.76853572128512e-141.87043218057184e-16
0.38-3.75788880496748e-144.47308314690402e-16
0.39-3.73395625533053e-149.6025709036474e-16
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0.731.12876694969714e-084.29230242456378e-08
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0.910.004414373351438630.000128249606827275
0.920.004473944149691177.76744637522894e-05
0.930.004580402652781210.000213162886657636
0.940.004880412252945610.000540356514831109
0.950.005471398269753270.000850853778672339
0.960.006255068184588410.000869024011847392
0.970.007332765843415040.0011318886051183
0.980.01310660566629370.00674596040012683
0.990.09509096382905920.0831852007027175


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')