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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 13:31:39 +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/t1290173404v9agnuap56jxcw4.htm/, Retrieved Fri, 03 May 2024 20:38:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=97974, Retrieved Fri, 03 May 2024 20:38:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact107

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] [APO] [2010-11-19 13:31:39] [5398da98f4f83c6a353e4d3806d4bcaa] [Current]
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Dataset

Dataseries X:
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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 time8 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 8 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97974&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]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97974&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97974&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 time8 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-0.03344729779308400.0223522471498831
0.02-0.009026567063779040.00356190928805511
0.03-0.006287737612634920.000280186808928063
0.04-0.006109714795342411.54906583137518e-05
0.05-0.006100508140353274.13392786390687e-06
0.06-0.006093321058769192.30324749279692e-05
0.07-0.006064297119902398.11983391019404e-05
0.08-0.005984844881933890.000192124889124590
0.09-0.005825088175934110.000353653008219875
0.1-0.005554486743669930.000594542161399638
0.11-0.005125408358968480.000964647805727759
0.12-0.004486676073290110.00141497971655749
0.13-0.003644257408854350.00176458361667035
0.14-0.002698795793612630.00183872279700222
0.15-0.001803281995405890.00161351470538462
0.16-0.001081181006350420.00121095772815276
0.17-0.0005792262620750910.000787322449179093
0.18-0.0002757621265709040.000445696454001477
0.19-0.0001158358841543590.000219113618694892
0.2-4.26018753879835e-059.29483176756773e-05
0.21-1.36254748054962e-053.38050365155372e-05
0.22-3.77106269252566e-061.04963360551247e-05
0.23-9.00505880111378e-072.77733802178991e-06
0.24-1.85308284830861e-076.26374237793154e-07
0.25-3.28648242812336e-081.20590502117489e-07
0.26-5.02838789139049e-091.9864109353005e-08
0.27-6.64783718378255e-102.80724868145779e-09
0.28-7.61156389188285e-113.41343567285722e-10
0.29-7.59493561705374e-123.58138699784048e-11
0.3-6.94842440394806e-133.25201275113773e-12
0.31-9.16480071880758e-142.57346171447464e-13
0.32-4.49626892515444e-141.94914849991799e-14
0.33-4.07127765680696e-144.36784246978564e-15
0.34-3.91396993195782e-143.94020559163625e-15
0.35-3.77324254389893e-143.65530645559543e-15
0.36-3.65060580198359e-142.99335868961865e-15
0.37-3.55617988517877e-142.15378654544788e-15
0.38-3.49197800706120e-141.37140406465196e-15
0.39-3.45269499424222e-147.9964973495336e-16
0.4-3.42905458781862e-145.0516388058422e-16
0.41-3.41037418908372e-145.33711706643075e-16
0.42-3.38519653997679e-149.15817418644386e-16
0.43-3.34085370377145e-141.67115464099296e-15
0.44-3.26389044872694e-142.79723136715362e-15
0.45-3.14282100306188e-144.17807640051683e-15
0.46-2.97284047168100e-145.55160392861321e-15
0.47-2.75984938368547e-146.58184981888845e-15
0.48-2.52025624841259e-147.01999353217979e-15
0.49-2.27481826593892e-146.86736753765517e-15
0.5-2.03851646569495e-146.43495184929823e-15
0.51-1.81146373941961e-146.25625037340233e-15
0.52-1.57580874068952e-146.86535236554652e-15
0.53-1.30062743053940e-148.50192014895474e-15
0.54-9.52968039850259e-151.09824610111793e-14
0.55-5.10624787691022e-151.38032072603316e-14
0.562.82245032885426e-161.63088363861404e-14
0.576.4186837245078e-151.7880943994403e-14
0.581.28924473299701e-141.8113497913451e-14
0.591.91999989422773e-141.69282782857026e-14
0.62.48742048506308e-141.4601186859398e-14
0.612.96023240347736e-141.16789466249057e-14
0.623.32899365842278e-148.7900808762224e-15
0.633.60439176163498e-146.41861967523965e-15
0.643.80857908734328e-144.75447158707338e-15
0.653.96738046350721e-143.8098779368771e-15
0.664.15718657063678e-146.35147876855705e-15
0.675.32970204922647e-146.43174672435855e-14
0.682.02229760335332e-138.35873434410863e-13
0.691.98291504511532e-129.65984377332816e-12
0.72.06238274749880e-119.7234763967775e-11
0.711.90495558062753e-108.4994942927795e-10
0.721.53529417592612e-096.43853428734182e-09
0.731.07672518348388e-084.21839278118785e-08
0.746.56329062519392e-082.38598790084385e-07
0.753.47488551649487e-071.16314665661863e-06
0.761.59756032488352e-064.88046960895383e-06
0.776.37977042424318e-061.76088674048076e-05
0.782.21507038928974e-055.46011483109823e-05
0.796.69712786238053e-050.000145464407673222
0.80.0001767056882042930.000332862095252557
0.810.0004079735044456040.000653617133081219
0.820.0008267828661143410.00109886205397736
0.830.001476333699677260.00157503229145656
0.840.002334956213792480.00191306881462473
0.850.003297137285884770.00195663729742019
0.860.004208537983328370.00168082550079303
0.870.00494212965861070.00122386709152054
0.880.005454305564381180.000778387790669614
0.890.005775017440190480.000451032382010252
0.90.005958197481905190.000238655064480781
0.910.006050143237821110.000107062061853720
0.920.006087472932304983.66106504574329e-05
0.930.006098736751167278.7492439165344e-06
0.940.006102219328074043.53802512861035e-06
0.950.006119459677277483.57546582794908e-05
0.960.006268530564715310.000271228648986087
0.970.00700655097153510.00102750812899062
0.980.01003643802501160.0031646936989184
0.990.03205099238406840.0209114411858354

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -0.0334472977930840 & 0.0223522471498831 \tabularnewline
0.02 & -0.00902656706377904 & 0.00356190928805511 \tabularnewline
0.03 & -0.00628773761263492 & 0.000280186808928063 \tabularnewline
0.04 & -0.00610971479534241 & 1.54906583137518e-05 \tabularnewline
0.05 & -0.00610050814035327 & 4.13392786390687e-06 \tabularnewline
0.06 & -0.00609332105876919 & 2.30324749279692e-05 \tabularnewline
0.07 & -0.00606429711990239 & 8.11983391019404e-05 \tabularnewline
0.08 & -0.00598484488193389 & 0.000192124889124590 \tabularnewline
0.09 & -0.00582508817593411 & 0.000353653008219875 \tabularnewline
0.1 & -0.00555448674366993 & 0.000594542161399638 \tabularnewline
0.11 & -0.00512540835896848 & 0.000964647805727759 \tabularnewline
0.12 & -0.00448667607329011 & 0.00141497971655749 \tabularnewline
0.13 & -0.00364425740885435 & 0.00176458361667035 \tabularnewline
0.14 & -0.00269879579361263 & 0.00183872279700222 \tabularnewline
0.15 & -0.00180328199540589 & 0.00161351470538462 \tabularnewline
0.16 & -0.00108118100635042 & 0.00121095772815276 \tabularnewline
0.17 & -0.000579226262075091 & 0.000787322449179093 \tabularnewline
0.18 & -0.000275762126570904 & 0.000445696454001477 \tabularnewline
0.19 & -0.000115835884154359 & 0.000219113618694892 \tabularnewline
0.2 & -4.26018753879835e-05 & 9.29483176756773e-05 \tabularnewline
0.21 & -1.36254748054962e-05 & 3.38050365155372e-05 \tabularnewline
0.22 & -3.77106269252566e-06 & 1.04963360551247e-05 \tabularnewline
0.23 & -9.00505880111378e-07 & 2.77733802178991e-06 \tabularnewline
0.24 & -1.85308284830861e-07 & 6.26374237793154e-07 \tabularnewline
0.25 & -3.28648242812336e-08 & 1.20590502117489e-07 \tabularnewline
0.26 & -5.02838789139049e-09 & 1.9864109353005e-08 \tabularnewline
0.27 & -6.64783718378255e-10 & 2.80724868145779e-09 \tabularnewline
0.28 & -7.61156389188285e-11 & 3.41343567285722e-10 \tabularnewline
0.29 & -7.59493561705374e-12 & 3.58138699784048e-11 \tabularnewline
0.3 & -6.94842440394806e-13 & 3.25201275113773e-12 \tabularnewline
0.31 & -9.16480071880758e-14 & 2.57346171447464e-13 \tabularnewline
0.32 & -4.49626892515444e-14 & 1.94914849991799e-14 \tabularnewline
0.33 & -4.07127765680696e-14 & 4.36784246978564e-15 \tabularnewline
0.34 & -3.91396993195782e-14 & 3.94020559163625e-15 \tabularnewline
0.35 & -3.77324254389893e-14 & 3.65530645559543e-15 \tabularnewline
0.36 & -3.65060580198359e-14 & 2.99335868961865e-15 \tabularnewline
0.37 & -3.55617988517877e-14 & 2.15378654544788e-15 \tabularnewline
0.38 & -3.49197800706120e-14 & 1.37140406465196e-15 \tabularnewline
0.39 & -3.45269499424222e-14 & 7.9964973495336e-16 \tabularnewline
0.4 & -3.42905458781862e-14 & 5.0516388058422e-16 \tabularnewline
0.41 & -3.41037418908372e-14 & 5.33711706643075e-16 \tabularnewline
0.42 & -3.38519653997679e-14 & 9.15817418644386e-16 \tabularnewline
0.43 & -3.34085370377145e-14 & 1.67115464099296e-15 \tabularnewline
0.44 & -3.26389044872694e-14 & 2.79723136715362e-15 \tabularnewline
0.45 & -3.14282100306188e-14 & 4.17807640051683e-15 \tabularnewline
0.46 & -2.97284047168100e-14 & 5.55160392861321e-15 \tabularnewline
0.47 & -2.75984938368547e-14 & 6.58184981888845e-15 \tabularnewline
0.48 & -2.52025624841259e-14 & 7.01999353217979e-15 \tabularnewline
0.49 & -2.27481826593892e-14 & 6.86736753765517e-15 \tabularnewline
0.5 & -2.03851646569495e-14 & 6.43495184929823e-15 \tabularnewline
0.51 & -1.81146373941961e-14 & 6.25625037340233e-15 \tabularnewline
0.52 & -1.57580874068952e-14 & 6.86535236554652e-15 \tabularnewline
0.53 & -1.30062743053940e-14 & 8.50192014895474e-15 \tabularnewline
0.54 & -9.52968039850259e-15 & 1.09824610111793e-14 \tabularnewline
0.55 & -5.10624787691022e-15 & 1.38032072603316e-14 \tabularnewline
0.56 & 2.82245032885426e-16 & 1.63088363861404e-14 \tabularnewline
0.57 & 6.4186837245078e-15 & 1.7880943994403e-14 \tabularnewline
0.58 & 1.28924473299701e-14 & 1.8113497913451e-14 \tabularnewline
0.59 & 1.91999989422773e-14 & 1.69282782857026e-14 \tabularnewline
0.6 & 2.48742048506308e-14 & 1.4601186859398e-14 \tabularnewline
0.61 & 2.96023240347736e-14 & 1.16789466249057e-14 \tabularnewline
0.62 & 3.32899365842278e-14 & 8.7900808762224e-15 \tabularnewline
0.63 & 3.60439176163498e-14 & 6.41861967523965e-15 \tabularnewline
0.64 & 3.80857908734328e-14 & 4.75447158707338e-15 \tabularnewline
0.65 & 3.96738046350721e-14 & 3.8098779368771e-15 \tabularnewline
0.66 & 4.15718657063678e-14 & 6.35147876855705e-15 \tabularnewline
0.67 & 5.32970204922647e-14 & 6.43174672435855e-14 \tabularnewline
0.68 & 2.02229760335332e-13 & 8.35873434410863e-13 \tabularnewline
0.69 & 1.98291504511532e-12 & 9.65984377332816e-12 \tabularnewline
0.7 & 2.06238274749880e-11 & 9.7234763967775e-11 \tabularnewline
0.71 & 1.90495558062753e-10 & 8.4994942927795e-10 \tabularnewline
0.72 & 1.53529417592612e-09 & 6.43853428734182e-09 \tabularnewline
0.73 & 1.07672518348388e-08 & 4.21839278118785e-08 \tabularnewline
0.74 & 6.56329062519392e-08 & 2.38598790084385e-07 \tabularnewline
0.75 & 3.47488551649487e-07 & 1.16314665661863e-06 \tabularnewline
0.76 & 1.59756032488352e-06 & 4.88046960895383e-06 \tabularnewline
0.77 & 6.37977042424318e-06 & 1.76088674048076e-05 \tabularnewline
0.78 & 2.21507038928974e-05 & 5.46011483109823e-05 \tabularnewline
0.79 & 6.69712786238053e-05 & 0.000145464407673222 \tabularnewline
0.8 & 0.000176705688204293 & 0.000332862095252557 \tabularnewline
0.81 & 0.000407973504445604 & 0.000653617133081219 \tabularnewline
0.82 & 0.000826782866114341 & 0.00109886205397736 \tabularnewline
0.83 & 0.00147633369967726 & 0.00157503229145656 \tabularnewline
0.84 & 0.00233495621379248 & 0.00191306881462473 \tabularnewline
0.85 & 0.00329713728588477 & 0.00195663729742019 \tabularnewline
0.86 & 0.00420853798332837 & 0.00168082550079303 \tabularnewline
0.87 & 0.0049421296586107 & 0.00122386709152054 \tabularnewline
0.88 & 0.00545430556438118 & 0.000778387790669614 \tabularnewline
0.89 & 0.00577501744019048 & 0.000451032382010252 \tabularnewline
0.9 & 0.00595819748190519 & 0.000238655064480781 \tabularnewline
0.91 & 0.00605014323782111 & 0.000107062061853720 \tabularnewline
0.92 & 0.00608747293230498 & 3.66106504574329e-05 \tabularnewline
0.93 & 0.00609873675116727 & 8.7492439165344e-06 \tabularnewline
0.94 & 0.00610221932807404 & 3.53802512861035e-06 \tabularnewline
0.95 & 0.00611945967727748 & 3.57546582794908e-05 \tabularnewline
0.96 & 0.00626853056471531 & 0.000271228648986087 \tabularnewline
0.97 & 0.0070065509715351 & 0.00102750812899062 \tabularnewline
0.98 & 0.0100364380250116 & 0.0031646936989184 \tabularnewline
0.99 & 0.0320509923840684 & 0.0209114411858354 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97974&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]-0.0334472977930840[/C][C]0.0223522471498831[/C][/ROW]
[ROW][C]0.02[/C][C]-0.00902656706377904[/C][C]0.00356190928805511[/C][/ROW]
[ROW][C]0.03[/C][C]-0.00628773761263492[/C][C]0.000280186808928063[/C][/ROW]
[ROW][C]0.04[/C][C]-0.00610971479534241[/C][C]1.54906583137518e-05[/C][/ROW]
[ROW][C]0.05[/C][C]-0.00610050814035327[/C][C]4.13392786390687e-06[/C][/ROW]
[ROW][C]0.06[/C][C]-0.00609332105876919[/C][C]2.30324749279692e-05[/C][/ROW]
[ROW][C]0.07[/C][C]-0.00606429711990239[/C][C]8.11983391019404e-05[/C][/ROW]
[ROW][C]0.08[/C][C]-0.00598484488193389[/C][C]0.000192124889124590[/C][/ROW]
[ROW][C]0.09[/C][C]-0.00582508817593411[/C][C]0.000353653008219875[/C][/ROW]
[ROW][C]0.1[/C][C]-0.00555448674366993[/C][C]0.000594542161399638[/C][/ROW]
[ROW][C]0.11[/C][C]-0.00512540835896848[/C][C]0.000964647805727759[/C][/ROW]
[ROW][C]0.12[/C][C]-0.00448667607329011[/C][C]0.00141497971655749[/C][/ROW]
[ROW][C]0.13[/C][C]-0.00364425740885435[/C][C]0.00176458361667035[/C][/ROW]
[ROW][C]0.14[/C][C]-0.00269879579361263[/C][C]0.00183872279700222[/C][/ROW]
[ROW][C]0.15[/C][C]-0.00180328199540589[/C][C]0.00161351470538462[/C][/ROW]
[ROW][C]0.16[/C][C]-0.00108118100635042[/C][C]0.00121095772815276[/C][/ROW]
[ROW][C]0.17[/C][C]-0.000579226262075091[/C][C]0.000787322449179093[/C][/ROW]
[ROW][C]0.18[/C][C]-0.000275762126570904[/C][C]0.000445696454001477[/C][/ROW]
[ROW][C]0.19[/C][C]-0.000115835884154359[/C][C]0.000219113618694892[/C][/ROW]
[ROW][C]0.2[/C][C]-4.26018753879835e-05[/C][C]9.29483176756773e-05[/C][/ROW]
[ROW][C]0.21[/C][C]-1.36254748054962e-05[/C][C]3.38050365155372e-05[/C][/ROW]
[ROW][C]0.22[/C][C]-3.77106269252566e-06[/C][C]1.04963360551247e-05[/C][/ROW]
[ROW][C]0.23[/C][C]-9.00505880111378e-07[/C][C]2.77733802178991e-06[/C][/ROW]
[ROW][C]0.24[/C][C]-1.85308284830861e-07[/C][C]6.26374237793154e-07[/C][/ROW]
[ROW][C]0.25[/C][C]-3.28648242812336e-08[/C][C]1.20590502117489e-07[/C][/ROW]
[ROW][C]0.26[/C][C]-5.02838789139049e-09[/C][C]1.9864109353005e-08[/C][/ROW]
[ROW][C]0.27[/C][C]-6.64783718378255e-10[/C][C]2.80724868145779e-09[/C][/ROW]
[ROW][C]0.28[/C][C]-7.61156389188285e-11[/C][C]3.41343567285722e-10[/C][/ROW]
[ROW][C]0.29[/C][C]-7.59493561705374e-12[/C][C]3.58138699784048e-11[/C][/ROW]
[ROW][C]0.3[/C][C]-6.94842440394806e-13[/C][C]3.25201275113773e-12[/C][/ROW]
[ROW][C]0.31[/C][C]-9.16480071880758e-14[/C][C]2.57346171447464e-13[/C][/ROW]
[ROW][C]0.32[/C][C]-4.49626892515444e-14[/C][C]1.94914849991799e-14[/C][/ROW]
[ROW][C]0.33[/C][C]-4.07127765680696e-14[/C][C]4.36784246978564e-15[/C][/ROW]
[ROW][C]0.34[/C][C]-3.91396993195782e-14[/C][C]3.94020559163625e-15[/C][/ROW]
[ROW][C]0.35[/C][C]-3.77324254389893e-14[/C][C]3.65530645559543e-15[/C][/ROW]
[ROW][C]0.36[/C][C]-3.65060580198359e-14[/C][C]2.99335868961865e-15[/C][/ROW]
[ROW][C]0.37[/C][C]-3.55617988517877e-14[/C][C]2.15378654544788e-15[/C][/ROW]
[ROW][C]0.38[/C][C]-3.49197800706120e-14[/C][C]1.37140406465196e-15[/C][/ROW]
[ROW][C]0.39[/C][C]-3.45269499424222e-14[/C][C]7.9964973495336e-16[/C][/ROW]
[ROW][C]0.4[/C][C]-3.42905458781862e-14[/C][C]5.0516388058422e-16[/C][/ROW]
[ROW][C]0.41[/C][C]-3.41037418908372e-14[/C][C]5.33711706643075e-16[/C][/ROW]
[ROW][C]0.42[/C][C]-3.38519653997679e-14[/C][C]9.15817418644386e-16[/C][/ROW]
[ROW][C]0.43[/C][C]-3.34085370377145e-14[/C][C]1.67115464099296e-15[/C][/ROW]
[ROW][C]0.44[/C][C]-3.26389044872694e-14[/C][C]2.79723136715362e-15[/C][/ROW]
[ROW][C]0.45[/C][C]-3.14282100306188e-14[/C][C]4.17807640051683e-15[/C][/ROW]
[ROW][C]0.46[/C][C]-2.97284047168100e-14[/C][C]5.55160392861321e-15[/C][/ROW]
[ROW][C]0.47[/C][C]-2.75984938368547e-14[/C][C]6.58184981888845e-15[/C][/ROW]
[ROW][C]0.48[/C][C]-2.52025624841259e-14[/C][C]7.01999353217979e-15[/C][/ROW]
[ROW][C]0.49[/C][C]-2.27481826593892e-14[/C][C]6.86736753765517e-15[/C][/ROW]
[ROW][C]0.5[/C][C]-2.03851646569495e-14[/C][C]6.43495184929823e-15[/C][/ROW]
[ROW][C]0.51[/C][C]-1.81146373941961e-14[/C][C]6.25625037340233e-15[/C][/ROW]
[ROW][C]0.52[/C][C]-1.57580874068952e-14[/C][C]6.86535236554652e-15[/C][/ROW]
[ROW][C]0.53[/C][C]-1.30062743053940e-14[/C][C]8.50192014895474e-15[/C][/ROW]
[ROW][C]0.54[/C][C]-9.52968039850259e-15[/C][C]1.09824610111793e-14[/C][/ROW]
[ROW][C]0.55[/C][C]-5.10624787691022e-15[/C][C]1.38032072603316e-14[/C][/ROW]
[ROW][C]0.56[/C][C]2.82245032885426e-16[/C][C]1.63088363861404e-14[/C][/ROW]
[ROW][C]0.57[/C][C]6.4186837245078e-15[/C][C]1.7880943994403e-14[/C][/ROW]
[ROW][C]0.58[/C][C]1.28924473299701e-14[/C][C]1.8113497913451e-14[/C][/ROW]
[ROW][C]0.59[/C][C]1.91999989422773e-14[/C][C]1.69282782857026e-14[/C][/ROW]
[ROW][C]0.6[/C][C]2.48742048506308e-14[/C][C]1.4601186859398e-14[/C][/ROW]
[ROW][C]0.61[/C][C]2.96023240347736e-14[/C][C]1.16789466249057e-14[/C][/ROW]
[ROW][C]0.62[/C][C]3.32899365842278e-14[/C][C]8.7900808762224e-15[/C][/ROW]
[ROW][C]0.63[/C][C]3.60439176163498e-14[/C][C]6.41861967523965e-15[/C][/ROW]
[ROW][C]0.64[/C][C]3.80857908734328e-14[/C][C]4.75447158707338e-15[/C][/ROW]
[ROW][C]0.65[/C][C]3.96738046350721e-14[/C][C]3.8098779368771e-15[/C][/ROW]
[ROW][C]0.66[/C][C]4.15718657063678e-14[/C][C]6.35147876855705e-15[/C][/ROW]
[ROW][C]0.67[/C][C]5.32970204922647e-14[/C][C]6.43174672435855e-14[/C][/ROW]
[ROW][C]0.68[/C][C]2.02229760335332e-13[/C][C]8.35873434410863e-13[/C][/ROW]
[ROW][C]0.69[/C][C]1.98291504511532e-12[/C][C]9.65984377332816e-12[/C][/ROW]
[ROW][C]0.7[/C][C]2.06238274749880e-11[/C][C]9.7234763967775e-11[/C][/ROW]
[ROW][C]0.71[/C][C]1.90495558062753e-10[/C][C]8.4994942927795e-10[/C][/ROW]
[ROW][C]0.72[/C][C]1.53529417592612e-09[/C][C]6.43853428734182e-09[/C][/ROW]
[ROW][C]0.73[/C][C]1.07672518348388e-08[/C][C]4.21839278118785e-08[/C][/ROW]
[ROW][C]0.74[/C][C]6.56329062519392e-08[/C][C]2.38598790084385e-07[/C][/ROW]
[ROW][C]0.75[/C][C]3.47488551649487e-07[/C][C]1.16314665661863e-06[/C][/ROW]
[ROW][C]0.76[/C][C]1.59756032488352e-06[/C][C]4.88046960895383e-06[/C][/ROW]
[ROW][C]0.77[/C][C]6.37977042424318e-06[/C][C]1.76088674048076e-05[/C][/ROW]
[ROW][C]0.78[/C][C]2.21507038928974e-05[/C][C]5.46011483109823e-05[/C][/ROW]
[ROW][C]0.79[/C][C]6.69712786238053e-05[/C][C]0.000145464407673222[/C][/ROW]
[ROW][C]0.8[/C][C]0.000176705688204293[/C][C]0.000332862095252557[/C][/ROW]
[ROW][C]0.81[/C][C]0.000407973504445604[/C][C]0.000653617133081219[/C][/ROW]
[ROW][C]0.82[/C][C]0.000826782866114341[/C][C]0.00109886205397736[/C][/ROW]
[ROW][C]0.83[/C][C]0.00147633369967726[/C][C]0.00157503229145656[/C][/ROW]
[ROW][C]0.84[/C][C]0.00233495621379248[/C][C]0.00191306881462473[/C][/ROW]
[ROW][C]0.85[/C][C]0.00329713728588477[/C][C]0.00195663729742019[/C][/ROW]
[ROW][C]0.86[/C][C]0.00420853798332837[/C][C]0.00168082550079303[/C][/ROW]
[ROW][C]0.87[/C][C]0.0049421296586107[/C][C]0.00122386709152054[/C][/ROW]
[ROW][C]0.88[/C][C]0.00545430556438118[/C][C]0.000778387790669614[/C][/ROW]
[ROW][C]0.89[/C][C]0.00577501744019048[/C][C]0.000451032382010252[/C][/ROW]
[ROW][C]0.9[/C][C]0.00595819748190519[/C][C]0.000238655064480781[/C][/ROW]
[ROW][C]0.91[/C][C]0.00605014323782111[/C][C]0.000107062061853720[/C][/ROW]
[ROW][C]0.92[/C][C]0.00608747293230498[/C][C]3.66106504574329e-05[/C][/ROW]
[ROW][C]0.93[/C][C]0.00609873675116727[/C][C]8.7492439165344e-06[/C][/ROW]
[ROW][C]0.94[/C][C]0.00610221932807404[/C][C]3.53802512861035e-06[/C][/ROW]
[ROW][C]0.95[/C][C]0.00611945967727748[/C][C]3.57546582794908e-05[/C][/ROW]
[ROW][C]0.96[/C][C]0.00626853056471531[/C][C]0.000271228648986087[/C][/ROW]
[ROW][C]0.97[/C][C]0.0070065509715351[/C][C]0.00102750812899062[/C][/ROW]
[ROW][C]0.98[/C][C]0.0100364380250116[/C][C]0.0031646936989184[/C][/ROW]
[ROW][C]0.99[/C][C]0.0320509923840684[/C][C]0.0209114411858354[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97974&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97974&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
0.01-0.03344729779308400.0223522471498831
0.02-0.009026567063779040.00356190928805511
0.03-0.006287737612634920.000280186808928063
0.04-0.006109714795342411.54906583137518e-05
0.05-0.006100508140353274.13392786390687e-06
0.06-0.006093321058769192.30324749279692e-05
0.07-0.006064297119902398.11983391019404e-05
0.08-0.005984844881933890.000192124889124590
0.09-0.005825088175934110.000353653008219875
0.1-0.005554486743669930.000594542161399638
0.11-0.005125408358968480.000964647805727759
0.12-0.004486676073290110.00141497971655749
0.13-0.003644257408854350.00176458361667035
0.14-0.002698795793612630.00183872279700222
0.15-0.001803281995405890.00161351470538462
0.16-0.001081181006350420.00121095772815276
0.17-0.0005792262620750910.000787322449179093
0.18-0.0002757621265709040.000445696454001477
0.19-0.0001158358841543590.000219113618694892
0.2-4.26018753879835e-059.29483176756773e-05
0.21-1.36254748054962e-053.38050365155372e-05
0.22-3.77106269252566e-061.04963360551247e-05
0.23-9.00505880111378e-072.77733802178991e-06
0.24-1.85308284830861e-076.26374237793154e-07
0.25-3.28648242812336e-081.20590502117489e-07
0.26-5.02838789139049e-091.9864109353005e-08
0.27-6.64783718378255e-102.80724868145779e-09
0.28-7.61156389188285e-113.41343567285722e-10
0.29-7.59493561705374e-123.58138699784048e-11
0.3-6.94842440394806e-133.25201275113773e-12
0.31-9.16480071880758e-142.57346171447464e-13
0.32-4.49626892515444e-141.94914849991799e-14
0.33-4.07127765680696e-144.36784246978564e-15
0.34-3.91396993195782e-143.94020559163625e-15
0.35-3.77324254389893e-143.65530645559543e-15
0.36-3.65060580198359e-142.99335868961865e-15
0.37-3.55617988517877e-142.15378654544788e-15
0.38-3.49197800706120e-141.37140406465196e-15
0.39-3.45269499424222e-147.9964973495336e-16
0.4-3.42905458781862e-145.0516388058422e-16
0.41-3.41037418908372e-145.33711706643075e-16
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0.850.003297137285884770.00195663729742019
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0.910.006050143237821110.000107062061853720
0.920.006087472932304983.66106504574329e-05
0.930.006098736751167278.7492439165344e-06
0.940.006102219328074043.53802512861035e-06
0.950.006119459677277483.57546582794908e-05
0.960.006268530564715310.000271228648986087
0.970.00700655097153510.00102750812899062
0.980.01003643802501160.0031646936989184
0.990.03205099238406840.0209114411858354


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')