Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 13 Oct 2010 17:03:19 +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/Oct/13/t1286989483g01lvg2c3xukkh3.htm/, Retrieved Mon, 06 May 2024 12:23:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=83179, Retrieved Mon, 06 May 2024 12:23:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact100
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2010-10-13 17:03:19] [5cd570406d143ae5f29e48ad26074e87] [Current]
Feedback Forum

Post a new message
Dataseries X:
1.35
1.91
1.31
1.19
1.3
1.14
1.1
1.02
1.11
1.18
1.24
1.36
1.29
1.73
1.41
1.15
1.31
1.15
1.08
1.1
1.14
1.24
1.33
1.49
1.38
1.96
1.36
1.24
1.35
1.23
1.09
1.08
1.33
1.35
1.38
1.5
1.47
2.09
1.52
1.29
1.52
1.27
1.35
1.29
1.41
1.39
1.45
1.53
1.45
2.11
1.53
1.38
1.54
1.35
1.29
1.33
1.47
1.47
1.54
1.59
1.5
2
1.51
1.4
1.62
1.44
1.29
1.28
1.4
1.39
1.46
1.49




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=83179&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=83179&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83179&T=0

As an alternative you can also use a 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
0.011.035291513541690.0453781261527141
0.021.054859284215890.0289153426934167
0.031.07092566687990.0178884859717099
0.041.082089632487650.0139874862917877
0.051.090141650312130.01446989011264
0.061.09697852669240.0165846555558975
0.071.103689092894050.0192492657134421
0.081.110725408048370.0220337382601161
0.091.118218778547610.0247017176986376
0.11.126173298401870.0271913980511059
0.111.134557518265310.0296010172682267
0.121.143343125093050.0320735703800754
0.131.152512748194180.0346539518701363
0.141.162047454267530.0372273208479784
0.151.171905932587070.0395499453043856
0.161.182008323862640.0413427738589038
0.171.192233165748650.0423935057627415
0.181.202428450510930.0426048504316207
0.191.212431592849490.0420020705478158
0.21.22209070343340.040710654467883
0.211.231280906513150.0388999997003965
0.221.239912824290760.0367465120206762
0.231.247933761221950.0343986012572643
0.241.255324197019680.0319748795929509
0.251.262092564241850.0295699504540815
0.261.268270374552750.0272706930656686
0.271.273908364270690.0251679498200856
0.281.279073188889210.0233565345068797
0.291.283843713837220.0219220391246954
0.31.288306146877430.0209251968843621
0.311.292547881144430.0203769987824594
0.321.296650612195410.020234312148302
0.331.300683763429260.0204040153358093
0.341.304699357778840.0207640786710681
0.351.30872922478610.0211873569912918
0.361.312784956386370.0215606504681614
0.371.316860486821850.0217984181017726
0.381.32093671534140.0218518584461036
0.391.324987302200560.0217052286595479
0.41.328984675082250.0213772306205738
0.411.332905363428550.0209137697760814
0.421.33673398574810.0203760949945001
0.431.340465496254040.0198361672992748
0.441.344105602583840.019365883635391
0.451.347669553426180.0190153330556978
0.461.351179727825630.0188240689301901
0.471.354662607232130.0187997751397056
0.481.358145756098730.0189319066253808
0.491.36165536942830.0191971036703719
0.51.365214776642040.0195619470133508
0.511.368844050844230.0200032771258224
0.521.372560607817770.02050193562096
0.531.376380444647640.0210583116224113
0.541.380319514628740.0216819433607171
0.551.384394698342730.0223899510993967
0.561.388623921588580.0232006155539689
0.571.39302517291960.0241182773990748
0.581.39761444585010.0251268981484654
0.591.402402915412120.0261903791030462
0.61.407393892158910.02725112214821
0.611.41258022277970.0282366112317469
0.621.41794278885670.0290661645201716
0.631.423450587096340.0296689264072662
0.641.429062582790680.0299891085939068
0.651.434731171882170.0299997337525719
0.661.440406744920180.0297021967120989
0.671.446042600154420.0291335495768958
0.681.451599366262110.0283502317912153
0.691.457048194036740.0274283428184111
0.71.46237224073680.0264483477956101
0.711.46756633863070.0254746729991801
0.721.472635124847850.0245593971447014
0.731.477590231130010.0237286691229776
0.741.482447339059510.0229889703961281
0.751.487223996449360.0223314109976067
0.761.491939107191550.0217442591001217
0.771.496615016378760.0212234819907098
0.781.501283168011980.0207874498619511
0.791.50599441658490.0204973978819917
0.81.510835152776370.0204768212489926
0.811.515950298251460.0209506070846653
0.821.521573686652810.0222687962836764
0.831.528065023199930.0249318911006966
0.841.535950018137980.0295600555828151
0.851.545955844274950.0368152562636758
0.861.559027429124680.0472997313722878
0.871.576302026692120.0614154862494663
0.881.599013452220180.0791268389986242
0.891.628300855652510.0996396968128863
0.91.664920770690880.121083853371443
0.911.708912888871520.140421222053746
0.921.759339606459110.153859319038548
0.931.814263827600850.157943742129283
0.941.871075631890750.151125335488565
0.951.927074177190560.134986859086824
0.961.979929655050630.113753833384705
0.972.027561252700110.0910254662190904
0.982.067396680514530.0662011318964041
0.992.09590187927870.038723646500394

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.03529151354169 & 0.0453781261527141 \tabularnewline
0.02 & 1.05485928421589 & 0.0289153426934167 \tabularnewline
0.03 & 1.0709256668799 & 0.0178884859717099 \tabularnewline
0.04 & 1.08208963248765 & 0.0139874862917877 \tabularnewline
0.05 & 1.09014165031213 & 0.01446989011264 \tabularnewline
0.06 & 1.0969785266924 & 0.0165846555558975 \tabularnewline
0.07 & 1.10368909289405 & 0.0192492657134421 \tabularnewline
0.08 & 1.11072540804837 & 0.0220337382601161 \tabularnewline
0.09 & 1.11821877854761 & 0.0247017176986376 \tabularnewline
0.1 & 1.12617329840187 & 0.0271913980511059 \tabularnewline
0.11 & 1.13455751826531 & 0.0296010172682267 \tabularnewline
0.12 & 1.14334312509305 & 0.0320735703800754 \tabularnewline
0.13 & 1.15251274819418 & 0.0346539518701363 \tabularnewline
0.14 & 1.16204745426753 & 0.0372273208479784 \tabularnewline
0.15 & 1.17190593258707 & 0.0395499453043856 \tabularnewline
0.16 & 1.18200832386264 & 0.0413427738589038 \tabularnewline
0.17 & 1.19223316574865 & 0.0423935057627415 \tabularnewline
0.18 & 1.20242845051093 & 0.0426048504316207 \tabularnewline
0.19 & 1.21243159284949 & 0.0420020705478158 \tabularnewline
0.2 & 1.2220907034334 & 0.040710654467883 \tabularnewline
0.21 & 1.23128090651315 & 0.0388999997003965 \tabularnewline
0.22 & 1.23991282429076 & 0.0367465120206762 \tabularnewline
0.23 & 1.24793376122195 & 0.0343986012572643 \tabularnewline
0.24 & 1.25532419701968 & 0.0319748795929509 \tabularnewline
0.25 & 1.26209256424185 & 0.0295699504540815 \tabularnewline
0.26 & 1.26827037455275 & 0.0272706930656686 \tabularnewline
0.27 & 1.27390836427069 & 0.0251679498200856 \tabularnewline
0.28 & 1.27907318888921 & 0.0233565345068797 \tabularnewline
0.29 & 1.28384371383722 & 0.0219220391246954 \tabularnewline
0.3 & 1.28830614687743 & 0.0209251968843621 \tabularnewline
0.31 & 1.29254788114443 & 0.0203769987824594 \tabularnewline
0.32 & 1.29665061219541 & 0.020234312148302 \tabularnewline
0.33 & 1.30068376342926 & 0.0204040153358093 \tabularnewline
0.34 & 1.30469935777884 & 0.0207640786710681 \tabularnewline
0.35 & 1.3087292247861 & 0.0211873569912918 \tabularnewline
0.36 & 1.31278495638637 & 0.0215606504681614 \tabularnewline
0.37 & 1.31686048682185 & 0.0217984181017726 \tabularnewline
0.38 & 1.3209367153414 & 0.0218518584461036 \tabularnewline
0.39 & 1.32498730220056 & 0.0217052286595479 \tabularnewline
0.4 & 1.32898467508225 & 0.0213772306205738 \tabularnewline
0.41 & 1.33290536342855 & 0.0209137697760814 \tabularnewline
0.42 & 1.3367339857481 & 0.0203760949945001 \tabularnewline
0.43 & 1.34046549625404 & 0.0198361672992748 \tabularnewline
0.44 & 1.34410560258384 & 0.019365883635391 \tabularnewline
0.45 & 1.34766955342618 & 0.0190153330556978 \tabularnewline
0.46 & 1.35117972782563 & 0.0188240689301901 \tabularnewline
0.47 & 1.35466260723213 & 0.0187997751397056 \tabularnewline
0.48 & 1.35814575609873 & 0.0189319066253808 \tabularnewline
0.49 & 1.3616553694283 & 0.0191971036703719 \tabularnewline
0.5 & 1.36521477664204 & 0.0195619470133508 \tabularnewline
0.51 & 1.36884405084423 & 0.0200032771258224 \tabularnewline
0.52 & 1.37256060781777 & 0.02050193562096 \tabularnewline
0.53 & 1.37638044464764 & 0.0210583116224113 \tabularnewline
0.54 & 1.38031951462874 & 0.0216819433607171 \tabularnewline
0.55 & 1.38439469834273 & 0.0223899510993967 \tabularnewline
0.56 & 1.38862392158858 & 0.0232006155539689 \tabularnewline
0.57 & 1.3930251729196 & 0.0241182773990748 \tabularnewline
0.58 & 1.3976144458501 & 0.0251268981484654 \tabularnewline
0.59 & 1.40240291541212 & 0.0261903791030462 \tabularnewline
0.6 & 1.40739389215891 & 0.02725112214821 \tabularnewline
0.61 & 1.4125802227797 & 0.0282366112317469 \tabularnewline
0.62 & 1.4179427888567 & 0.0290661645201716 \tabularnewline
0.63 & 1.42345058709634 & 0.0296689264072662 \tabularnewline
0.64 & 1.42906258279068 & 0.0299891085939068 \tabularnewline
0.65 & 1.43473117188217 & 0.0299997337525719 \tabularnewline
0.66 & 1.44040674492018 & 0.0297021967120989 \tabularnewline
0.67 & 1.44604260015442 & 0.0291335495768958 \tabularnewline
0.68 & 1.45159936626211 & 0.0283502317912153 \tabularnewline
0.69 & 1.45704819403674 & 0.0274283428184111 \tabularnewline
0.7 & 1.4623722407368 & 0.0264483477956101 \tabularnewline
0.71 & 1.4675663386307 & 0.0254746729991801 \tabularnewline
0.72 & 1.47263512484785 & 0.0245593971447014 \tabularnewline
0.73 & 1.47759023113001 & 0.0237286691229776 \tabularnewline
0.74 & 1.48244733905951 & 0.0229889703961281 \tabularnewline
0.75 & 1.48722399644936 & 0.0223314109976067 \tabularnewline
0.76 & 1.49193910719155 & 0.0217442591001217 \tabularnewline
0.77 & 1.49661501637876 & 0.0212234819907098 \tabularnewline
0.78 & 1.50128316801198 & 0.0207874498619511 \tabularnewline
0.79 & 1.5059944165849 & 0.0204973978819917 \tabularnewline
0.8 & 1.51083515277637 & 0.0204768212489926 \tabularnewline
0.81 & 1.51595029825146 & 0.0209506070846653 \tabularnewline
0.82 & 1.52157368665281 & 0.0222687962836764 \tabularnewline
0.83 & 1.52806502319993 & 0.0249318911006966 \tabularnewline
0.84 & 1.53595001813798 & 0.0295600555828151 \tabularnewline
0.85 & 1.54595584427495 & 0.0368152562636758 \tabularnewline
0.86 & 1.55902742912468 & 0.0472997313722878 \tabularnewline
0.87 & 1.57630202669212 & 0.0614154862494663 \tabularnewline
0.88 & 1.59901345222018 & 0.0791268389986242 \tabularnewline
0.89 & 1.62830085565251 & 0.0996396968128863 \tabularnewline
0.9 & 1.66492077069088 & 0.121083853371443 \tabularnewline
0.91 & 1.70891288887152 & 0.140421222053746 \tabularnewline
0.92 & 1.75933960645911 & 0.153859319038548 \tabularnewline
0.93 & 1.81426382760085 & 0.157943742129283 \tabularnewline
0.94 & 1.87107563189075 & 0.151125335488565 \tabularnewline
0.95 & 1.92707417719056 & 0.134986859086824 \tabularnewline
0.96 & 1.97992965505063 & 0.113753833384705 \tabularnewline
0.97 & 2.02756125270011 & 0.0910254662190904 \tabularnewline
0.98 & 2.06739668051453 & 0.0662011318964041 \tabularnewline
0.99 & 2.0959018792787 & 0.038723646500394 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83179&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]1.03529151354169[/C][C]0.0453781261527141[/C][/ROW]
[ROW][C]0.02[/C][C]1.05485928421589[/C][C]0.0289153426934167[/C][/ROW]
[ROW][C]0.03[/C][C]1.0709256668799[/C][C]0.0178884859717099[/C][/ROW]
[ROW][C]0.04[/C][C]1.08208963248765[/C][C]0.0139874862917877[/C][/ROW]
[ROW][C]0.05[/C][C]1.09014165031213[/C][C]0.01446989011264[/C][/ROW]
[ROW][C]0.06[/C][C]1.0969785266924[/C][C]0.0165846555558975[/C][/ROW]
[ROW][C]0.07[/C][C]1.10368909289405[/C][C]0.0192492657134421[/C][/ROW]
[ROW][C]0.08[/C][C]1.11072540804837[/C][C]0.0220337382601161[/C][/ROW]
[ROW][C]0.09[/C][C]1.11821877854761[/C][C]0.0247017176986376[/C][/ROW]
[ROW][C]0.1[/C][C]1.12617329840187[/C][C]0.0271913980511059[/C][/ROW]
[ROW][C]0.11[/C][C]1.13455751826531[/C][C]0.0296010172682267[/C][/ROW]
[ROW][C]0.12[/C][C]1.14334312509305[/C][C]0.0320735703800754[/C][/ROW]
[ROW][C]0.13[/C][C]1.15251274819418[/C][C]0.0346539518701363[/C][/ROW]
[ROW][C]0.14[/C][C]1.16204745426753[/C][C]0.0372273208479784[/C][/ROW]
[ROW][C]0.15[/C][C]1.17190593258707[/C][C]0.0395499453043856[/C][/ROW]
[ROW][C]0.16[/C][C]1.18200832386264[/C][C]0.0413427738589038[/C][/ROW]
[ROW][C]0.17[/C][C]1.19223316574865[/C][C]0.0423935057627415[/C][/ROW]
[ROW][C]0.18[/C][C]1.20242845051093[/C][C]0.0426048504316207[/C][/ROW]
[ROW][C]0.19[/C][C]1.21243159284949[/C][C]0.0420020705478158[/C][/ROW]
[ROW][C]0.2[/C][C]1.2220907034334[/C][C]0.040710654467883[/C][/ROW]
[ROW][C]0.21[/C][C]1.23128090651315[/C][C]0.0388999997003965[/C][/ROW]
[ROW][C]0.22[/C][C]1.23991282429076[/C][C]0.0367465120206762[/C][/ROW]
[ROW][C]0.23[/C][C]1.24793376122195[/C][C]0.0343986012572643[/C][/ROW]
[ROW][C]0.24[/C][C]1.25532419701968[/C][C]0.0319748795929509[/C][/ROW]
[ROW][C]0.25[/C][C]1.26209256424185[/C][C]0.0295699504540815[/C][/ROW]
[ROW][C]0.26[/C][C]1.26827037455275[/C][C]0.0272706930656686[/C][/ROW]
[ROW][C]0.27[/C][C]1.27390836427069[/C][C]0.0251679498200856[/C][/ROW]
[ROW][C]0.28[/C][C]1.27907318888921[/C][C]0.0233565345068797[/C][/ROW]
[ROW][C]0.29[/C][C]1.28384371383722[/C][C]0.0219220391246954[/C][/ROW]
[ROW][C]0.3[/C][C]1.28830614687743[/C][C]0.0209251968843621[/C][/ROW]
[ROW][C]0.31[/C][C]1.29254788114443[/C][C]0.0203769987824594[/C][/ROW]
[ROW][C]0.32[/C][C]1.29665061219541[/C][C]0.020234312148302[/C][/ROW]
[ROW][C]0.33[/C][C]1.30068376342926[/C][C]0.0204040153358093[/C][/ROW]
[ROW][C]0.34[/C][C]1.30469935777884[/C][C]0.0207640786710681[/C][/ROW]
[ROW][C]0.35[/C][C]1.3087292247861[/C][C]0.0211873569912918[/C][/ROW]
[ROW][C]0.36[/C][C]1.31278495638637[/C][C]0.0215606504681614[/C][/ROW]
[ROW][C]0.37[/C][C]1.31686048682185[/C][C]0.0217984181017726[/C][/ROW]
[ROW][C]0.38[/C][C]1.3209367153414[/C][C]0.0218518584461036[/C][/ROW]
[ROW][C]0.39[/C][C]1.32498730220056[/C][C]0.0217052286595479[/C][/ROW]
[ROW][C]0.4[/C][C]1.32898467508225[/C][C]0.0213772306205738[/C][/ROW]
[ROW][C]0.41[/C][C]1.33290536342855[/C][C]0.0209137697760814[/C][/ROW]
[ROW][C]0.42[/C][C]1.3367339857481[/C][C]0.0203760949945001[/C][/ROW]
[ROW][C]0.43[/C][C]1.34046549625404[/C][C]0.0198361672992748[/C][/ROW]
[ROW][C]0.44[/C][C]1.34410560258384[/C][C]0.019365883635391[/C][/ROW]
[ROW][C]0.45[/C][C]1.34766955342618[/C][C]0.0190153330556978[/C][/ROW]
[ROW][C]0.46[/C][C]1.35117972782563[/C][C]0.0188240689301901[/C][/ROW]
[ROW][C]0.47[/C][C]1.35466260723213[/C][C]0.0187997751397056[/C][/ROW]
[ROW][C]0.48[/C][C]1.35814575609873[/C][C]0.0189319066253808[/C][/ROW]
[ROW][C]0.49[/C][C]1.3616553694283[/C][C]0.0191971036703719[/C][/ROW]
[ROW][C]0.5[/C][C]1.36521477664204[/C][C]0.0195619470133508[/C][/ROW]
[ROW][C]0.51[/C][C]1.36884405084423[/C][C]0.0200032771258224[/C][/ROW]
[ROW][C]0.52[/C][C]1.37256060781777[/C][C]0.02050193562096[/C][/ROW]
[ROW][C]0.53[/C][C]1.37638044464764[/C][C]0.0210583116224113[/C][/ROW]
[ROW][C]0.54[/C][C]1.38031951462874[/C][C]0.0216819433607171[/C][/ROW]
[ROW][C]0.55[/C][C]1.38439469834273[/C][C]0.0223899510993967[/C][/ROW]
[ROW][C]0.56[/C][C]1.38862392158858[/C][C]0.0232006155539689[/C][/ROW]
[ROW][C]0.57[/C][C]1.3930251729196[/C][C]0.0241182773990748[/C][/ROW]
[ROW][C]0.58[/C][C]1.3976144458501[/C][C]0.0251268981484654[/C][/ROW]
[ROW][C]0.59[/C][C]1.40240291541212[/C][C]0.0261903791030462[/C][/ROW]
[ROW][C]0.6[/C][C]1.40739389215891[/C][C]0.02725112214821[/C][/ROW]
[ROW][C]0.61[/C][C]1.4125802227797[/C][C]0.0282366112317469[/C][/ROW]
[ROW][C]0.62[/C][C]1.4179427888567[/C][C]0.0290661645201716[/C][/ROW]
[ROW][C]0.63[/C][C]1.42345058709634[/C][C]0.0296689264072662[/C][/ROW]
[ROW][C]0.64[/C][C]1.42906258279068[/C][C]0.0299891085939068[/C][/ROW]
[ROW][C]0.65[/C][C]1.43473117188217[/C][C]0.0299997337525719[/C][/ROW]
[ROW][C]0.66[/C][C]1.44040674492018[/C][C]0.0297021967120989[/C][/ROW]
[ROW][C]0.67[/C][C]1.44604260015442[/C][C]0.0291335495768958[/C][/ROW]
[ROW][C]0.68[/C][C]1.45159936626211[/C][C]0.0283502317912153[/C][/ROW]
[ROW][C]0.69[/C][C]1.45704819403674[/C][C]0.0274283428184111[/C][/ROW]
[ROW][C]0.7[/C][C]1.4623722407368[/C][C]0.0264483477956101[/C][/ROW]
[ROW][C]0.71[/C][C]1.4675663386307[/C][C]0.0254746729991801[/C][/ROW]
[ROW][C]0.72[/C][C]1.47263512484785[/C][C]0.0245593971447014[/C][/ROW]
[ROW][C]0.73[/C][C]1.47759023113001[/C][C]0.0237286691229776[/C][/ROW]
[ROW][C]0.74[/C][C]1.48244733905951[/C][C]0.0229889703961281[/C][/ROW]
[ROW][C]0.75[/C][C]1.48722399644936[/C][C]0.0223314109976067[/C][/ROW]
[ROW][C]0.76[/C][C]1.49193910719155[/C][C]0.0217442591001217[/C][/ROW]
[ROW][C]0.77[/C][C]1.49661501637876[/C][C]0.0212234819907098[/C][/ROW]
[ROW][C]0.78[/C][C]1.50128316801198[/C][C]0.0207874498619511[/C][/ROW]
[ROW][C]0.79[/C][C]1.5059944165849[/C][C]0.0204973978819917[/C][/ROW]
[ROW][C]0.8[/C][C]1.51083515277637[/C][C]0.0204768212489926[/C][/ROW]
[ROW][C]0.81[/C][C]1.51595029825146[/C][C]0.0209506070846653[/C][/ROW]
[ROW][C]0.82[/C][C]1.52157368665281[/C][C]0.0222687962836764[/C][/ROW]
[ROW][C]0.83[/C][C]1.52806502319993[/C][C]0.0249318911006966[/C][/ROW]
[ROW][C]0.84[/C][C]1.53595001813798[/C][C]0.0295600555828151[/C][/ROW]
[ROW][C]0.85[/C][C]1.54595584427495[/C][C]0.0368152562636758[/C][/ROW]
[ROW][C]0.86[/C][C]1.55902742912468[/C][C]0.0472997313722878[/C][/ROW]
[ROW][C]0.87[/C][C]1.57630202669212[/C][C]0.0614154862494663[/C][/ROW]
[ROW][C]0.88[/C][C]1.59901345222018[/C][C]0.0791268389986242[/C][/ROW]
[ROW][C]0.89[/C][C]1.62830085565251[/C][C]0.0996396968128863[/C][/ROW]
[ROW][C]0.9[/C][C]1.66492077069088[/C][C]0.121083853371443[/C][/ROW]
[ROW][C]0.91[/C][C]1.70891288887152[/C][C]0.140421222053746[/C][/ROW]
[ROW][C]0.92[/C][C]1.75933960645911[/C][C]0.153859319038548[/C][/ROW]
[ROW][C]0.93[/C][C]1.81426382760085[/C][C]0.157943742129283[/C][/ROW]
[ROW][C]0.94[/C][C]1.87107563189075[/C][C]0.151125335488565[/C][/ROW]
[ROW][C]0.95[/C][C]1.92707417719056[/C][C]0.134986859086824[/C][/ROW]
[ROW][C]0.96[/C][C]1.97992965505063[/C][C]0.113753833384705[/C][/ROW]
[ROW][C]0.97[/C][C]2.02756125270011[/C][C]0.0910254662190904[/C][/ROW]
[ROW][C]0.98[/C][C]2.06739668051453[/C][C]0.0662011318964041[/C][/ROW]
[ROW][C]0.99[/C][C]2.0959018792787[/C][C]0.038723646500394[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83179&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83179&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.035291513541690.0453781261527141
0.021.054859284215890.0289153426934167
0.031.07092566687990.0178884859717099
0.041.082089632487650.0139874862917877
0.051.090141650312130.01446989011264
0.061.09697852669240.0165846555558975
0.071.103689092894050.0192492657134421
0.081.110725408048370.0220337382601161
0.091.118218778547610.0247017176986376
0.11.126173298401870.0271913980511059
0.111.134557518265310.0296010172682267
0.121.143343125093050.0320735703800754
0.131.152512748194180.0346539518701363
0.141.162047454267530.0372273208479784
0.151.171905932587070.0395499453043856
0.161.182008323862640.0413427738589038
0.171.192233165748650.0423935057627415
0.181.202428450510930.0426048504316207
0.191.212431592849490.0420020705478158
0.21.22209070343340.040710654467883
0.211.231280906513150.0388999997003965
0.221.239912824290760.0367465120206762
0.231.247933761221950.0343986012572643
0.241.255324197019680.0319748795929509
0.251.262092564241850.0295699504540815
0.261.268270374552750.0272706930656686
0.271.273908364270690.0251679498200856
0.281.279073188889210.0233565345068797
0.291.283843713837220.0219220391246954
0.31.288306146877430.0209251968843621
0.311.292547881144430.0203769987824594
0.321.296650612195410.020234312148302
0.331.300683763429260.0204040153358093
0.341.304699357778840.0207640786710681
0.351.30872922478610.0211873569912918
0.361.312784956386370.0215606504681614
0.371.316860486821850.0217984181017726
0.381.32093671534140.0218518584461036
0.391.324987302200560.0217052286595479
0.41.328984675082250.0213772306205738
0.411.332905363428550.0209137697760814
0.421.33673398574810.0203760949945001
0.431.340465496254040.0198361672992748
0.441.344105602583840.019365883635391
0.451.347669553426180.0190153330556978
0.461.351179727825630.0188240689301901
0.471.354662607232130.0187997751397056
0.481.358145756098730.0189319066253808
0.491.36165536942830.0191971036703719
0.51.365214776642040.0195619470133508
0.511.368844050844230.0200032771258224
0.521.372560607817770.02050193562096
0.531.376380444647640.0210583116224113
0.541.380319514628740.0216819433607171
0.551.384394698342730.0223899510993967
0.561.388623921588580.0232006155539689
0.571.39302517291960.0241182773990748
0.581.39761444585010.0251268981484654
0.591.402402915412120.0261903791030462
0.61.407393892158910.02725112214821
0.611.41258022277970.0282366112317469
0.621.41794278885670.0290661645201716
0.631.423450587096340.0296689264072662
0.641.429062582790680.0299891085939068
0.651.434731171882170.0299997337525719
0.661.440406744920180.0297021967120989
0.671.446042600154420.0291335495768958
0.681.451599366262110.0283502317912153
0.691.457048194036740.0274283428184111
0.71.46237224073680.0264483477956101
0.711.46756633863070.0254746729991801
0.721.472635124847850.0245593971447014
0.731.477590231130010.0237286691229776
0.741.482447339059510.0229889703961281
0.751.487223996449360.0223314109976067
0.761.491939107191550.0217442591001217
0.771.496615016378760.0212234819907098
0.781.501283168011980.0207874498619511
0.791.50599441658490.0204973978819917
0.81.510835152776370.0204768212489926
0.811.515950298251460.0209506070846653
0.821.521573686652810.0222687962836764
0.831.528065023199930.0249318911006966
0.841.535950018137980.0295600555828151
0.851.545955844274950.0368152562636758
0.861.559027429124680.0472997313722878
0.871.576302026692120.0614154862494663
0.881.599013452220180.0791268389986242
0.891.628300855652510.0996396968128863
0.91.664920770690880.121083853371443
0.911.708912888871520.140421222053746
0.921.759339606459110.153859319038548
0.931.814263827600850.157943742129283
0.941.871075631890750.151125335488565
0.951.927074177190560.134986859086824
0.961.979929655050630.113753833384705
0.972.027561252700110.0910254662190904
0.982.067396680514530.0662011318964041
0.992.09590187927870.038723646500394



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')