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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, 05 Jan 2017 15:39:39 +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/2017/Jan/05/t14836311630ey0xj7mmn5no6e.htm/, Retrieved Tue, 14 May 2024 21:38:54 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 14 May 2024 21:38:54 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2.32
1.93
0.62
0.6
-0.37
-1.1
-1.68
-0.77
-1.2
-0.97
-0.12
0.26
0.62
0.7
1.65
1.79
2.28
2.46
2.57
2.32
2.91
3.01
2.87
3.11
3.22
3.38
3.52
3.41
3.35
3.68
3.75
3.6
3.56
3.57
3.85
3.48
3.65
3.66
3.36
3.19
2.81
2.25
2.32
2.85
2.75
2.78
2.26
2.23
1.46
1.19
1.11
1
1.18
1.59
1.51
1.01
0.9
0.63
0.81
0.97
1.14
0.97
0.89
0.62
0.36
0.27
0.34
0.02
-0.12
0.09
-0.11
-0.38
-0.65
-0.4
-0.4
0.29
0.56
0.63
0.46
0.91
1.06
1.28
1.52
1.5

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-1.517933766589140.368568404181145
0.02-1.305273213763180.264455241783583
0.03-1.122324181899770.230425525347313
0.04-0.9751435984961410.240897211679357
0.05-0.8479330733212830.254134623986657
0.06-0.7320441417018240.254530836161096
0.07-0.6264227171105750.242664154787361
0.08-0.53188520039320.225448907190581
0.09-0.4480387475351010.210490630143656
0.1-0.3729268868221670.202510657991149
0.11-0.3038536168937890.20199090156999
0.12-0.2383106460826720.20643458671075
0.13-0.1745355268176130.212697938364623
0.14-0.111638951469020.218392998162026
0.15-0.04944513989513660.222120547265006
0.160.01177395118063680.223234569270683
0.170.07154703026728660.221621925661938
0.180.1293837744592790.21757578137798
0.190.1848822903029420.211677496268518
0.20.2377755888381580.204619049197214
0.210.2879320500215020.196997000206492
0.220.3353269523614720.18916648211662
0.230.38000490844740.181240932336468
0.240.4220521232303630.173222721589228
0.250.4615898771539170.165197611961162
0.260.4987885678023610.157468443053563
0.270.5338905090627230.150578227695206
0.280.5672246663721230.145192416748257
0.290.5991995382219850.141890248634732
0.30.630269555717380.140936607617483
0.310.6608813083574690.14214384305934
0.320.6914140812543380.144906994599773
0.330.7221317578095040.14838553018974
0.340.7531597355444070.151727807194345
0.350.7844929230315970.15428150466785
0.360.8160320711014570.155717830615528
0.370.8476385097185220.156074047485152
0.380.8791936874188850.155724474233676
0.390.9106502289909840.15527903581237
0.40.9420647789009820.155455823750001
0.410.9736081817772210.156937880958713
0.421.005553939907930.160252921567693
0.431.038250119831540.165688065082433
0.441.072082296155720.173276837954554
0.451.107435635522090.182831453930316
0.461.144663130547390.194007865964844
0.471.184064739110380.206405988907876
0.481.225879226596040.21963677643679
0.491.270287300226490.23339966000891
0.51.317421676120640.24750123204449
0.511.367377647440980.261843020773762
0.521.420217185623350.27636338761037
0.531.475961106741110.290931411645824
0.541.534567429049990.305240834682005
0.551.595899120337690.318736099512424
0.561.659689671891180.330608228112387
0.571.725518599862420.339893990988491
0.581.792809433221770.345639155718168
0.591.860859114733510.347123627215153
0.61.928900372420440.344057021487547
0.611.996189231230660.33671852846838
0.622.062101141680370.325975861505983
0.632.12621412234030.313198190391237
0.642.188357988118680.300001710794955
0.652.248615695879240.287945445064354
0.662.307274623335840.278170803935846
0.672.364739020482070.27114568943611
0.682.421425899240110.266592454637996
0.692.477671622921540.263633889444744
0.72.533673433337590.261152093133268
0.712.589479577720170.258153115059822
0.722.645026556100770.254057329781832
0.732.700207014421650.248830512240493
0.742.754941932468940.242926177478885
0.752.809229541140580.237037327424564
0.762.863151629645760.23180777720049
0.772.916833132269720.227512807108805
0.782.970368124508920.223886646876917
0.793.023738666643970.220191383016432
0.83.07675741507440.215423648440518
0.813.129058443506970.208682604941786
0.823.180144782184430.199434644011351
0.833.229480764856840.187716602072286
0.843.276599622912040.174106875010473
0.853.32118932824750.159561347659467
0.863.363127229347910.145104210266001
0.873.402455519381980.131485035013581
0.883.439316348381430.118982668836715
0.893.473883136211850.107461943982529
0.93.506321323204070.0966452446587086
0.913.536789541425330.086410527450929
0.923.565474108213090.0768587329459618
0.933.592667532253320.0681413712360409
0.943.61895847962050.0604775270095701
0.953.645631898156260.0547818548691509
0.963.675246379236260.0534712405105654
0.973.711826008511350.0591354630075818
0.983.75880807281860.0711462609119152
0.993.811796001134310.0863980658917109

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -1.51793376658914 & 0.368568404181145 \tabularnewline
0.02 & -1.30527321376318 & 0.264455241783583 \tabularnewline
0.03 & -1.12232418189977 & 0.230425525347313 \tabularnewline
0.04 & -0.975143598496141 & 0.240897211679357 \tabularnewline
0.05 & -0.847933073321283 & 0.254134623986657 \tabularnewline
0.06 & -0.732044141701824 & 0.254530836161096 \tabularnewline
0.07 & -0.626422717110575 & 0.242664154787361 \tabularnewline
0.08 & -0.5318852003932 & 0.225448907190581 \tabularnewline
0.09 & -0.448038747535101 & 0.210490630143656 \tabularnewline
0.1 & -0.372926886822167 & 0.202510657991149 \tabularnewline
0.11 & -0.303853616893789 & 0.20199090156999 \tabularnewline
0.12 & -0.238310646082672 & 0.20643458671075 \tabularnewline
0.13 & -0.174535526817613 & 0.212697938364623 \tabularnewline
0.14 & -0.11163895146902 & 0.218392998162026 \tabularnewline
0.15 & -0.0494451398951366 & 0.222120547265006 \tabularnewline
0.16 & 0.0117739511806368 & 0.223234569270683 \tabularnewline
0.17 & 0.0715470302672866 & 0.221621925661938 \tabularnewline
0.18 & 0.129383774459279 & 0.21757578137798 \tabularnewline
0.19 & 0.184882290302942 & 0.211677496268518 \tabularnewline
0.2 & 0.237775588838158 & 0.204619049197214 \tabularnewline
0.21 & 0.287932050021502 & 0.196997000206492 \tabularnewline
0.22 & 0.335326952361472 & 0.18916648211662 \tabularnewline
0.23 & 0.3800049084474 & 0.181240932336468 \tabularnewline
0.24 & 0.422052123230363 & 0.173222721589228 \tabularnewline
0.25 & 0.461589877153917 & 0.165197611961162 \tabularnewline
0.26 & 0.498788567802361 & 0.157468443053563 \tabularnewline
0.27 & 0.533890509062723 & 0.150578227695206 \tabularnewline
0.28 & 0.567224666372123 & 0.145192416748257 \tabularnewline
0.29 & 0.599199538221985 & 0.141890248634732 \tabularnewline
0.3 & 0.63026955571738 & 0.140936607617483 \tabularnewline
0.31 & 0.660881308357469 & 0.14214384305934 \tabularnewline
0.32 & 0.691414081254338 & 0.144906994599773 \tabularnewline
0.33 & 0.722131757809504 & 0.14838553018974 \tabularnewline
0.34 & 0.753159735544407 & 0.151727807194345 \tabularnewline
0.35 & 0.784492923031597 & 0.15428150466785 \tabularnewline
0.36 & 0.816032071101457 & 0.155717830615528 \tabularnewline
0.37 & 0.847638509718522 & 0.156074047485152 \tabularnewline
0.38 & 0.879193687418885 & 0.155724474233676 \tabularnewline
0.39 & 0.910650228990984 & 0.15527903581237 \tabularnewline
0.4 & 0.942064778900982 & 0.155455823750001 \tabularnewline
0.41 & 0.973608181777221 & 0.156937880958713 \tabularnewline
0.42 & 1.00555393990793 & 0.160252921567693 \tabularnewline
0.43 & 1.03825011983154 & 0.165688065082433 \tabularnewline
0.44 & 1.07208229615572 & 0.173276837954554 \tabularnewline
0.45 & 1.10743563552209 & 0.182831453930316 \tabularnewline
0.46 & 1.14466313054739 & 0.194007865964844 \tabularnewline
0.47 & 1.18406473911038 & 0.206405988907876 \tabularnewline
0.48 & 1.22587922659604 & 0.21963677643679 \tabularnewline
0.49 & 1.27028730022649 & 0.23339966000891 \tabularnewline
0.5 & 1.31742167612064 & 0.24750123204449 \tabularnewline
0.51 & 1.36737764744098 & 0.261843020773762 \tabularnewline
0.52 & 1.42021718562335 & 0.27636338761037 \tabularnewline
0.53 & 1.47596110674111 & 0.290931411645824 \tabularnewline
0.54 & 1.53456742904999 & 0.305240834682005 \tabularnewline
0.55 & 1.59589912033769 & 0.318736099512424 \tabularnewline
0.56 & 1.65968967189118 & 0.330608228112387 \tabularnewline
0.57 & 1.72551859986242 & 0.339893990988491 \tabularnewline
0.58 & 1.79280943322177 & 0.345639155718168 \tabularnewline
0.59 & 1.86085911473351 & 0.347123627215153 \tabularnewline
0.6 & 1.92890037242044 & 0.344057021487547 \tabularnewline
0.61 & 1.99618923123066 & 0.33671852846838 \tabularnewline
0.62 & 2.06210114168037 & 0.325975861505983 \tabularnewline
0.63 & 2.1262141223403 & 0.313198190391237 \tabularnewline
0.64 & 2.18835798811868 & 0.300001710794955 \tabularnewline
0.65 & 2.24861569587924 & 0.287945445064354 \tabularnewline
0.66 & 2.30727462333584 & 0.278170803935846 \tabularnewline
0.67 & 2.36473902048207 & 0.27114568943611 \tabularnewline
0.68 & 2.42142589924011 & 0.266592454637996 \tabularnewline
0.69 & 2.47767162292154 & 0.263633889444744 \tabularnewline
0.7 & 2.53367343333759 & 0.261152093133268 \tabularnewline
0.71 & 2.58947957772017 & 0.258153115059822 \tabularnewline
0.72 & 2.64502655610077 & 0.254057329781832 \tabularnewline
0.73 & 2.70020701442165 & 0.248830512240493 \tabularnewline
0.74 & 2.75494193246894 & 0.242926177478885 \tabularnewline
0.75 & 2.80922954114058 & 0.237037327424564 \tabularnewline
0.76 & 2.86315162964576 & 0.23180777720049 \tabularnewline
0.77 & 2.91683313226972 & 0.227512807108805 \tabularnewline
0.78 & 2.97036812450892 & 0.223886646876917 \tabularnewline
0.79 & 3.02373866664397 & 0.220191383016432 \tabularnewline
0.8 & 3.0767574150744 & 0.215423648440518 \tabularnewline
0.81 & 3.12905844350697 & 0.208682604941786 \tabularnewline
0.82 & 3.18014478218443 & 0.199434644011351 \tabularnewline
0.83 & 3.22948076485684 & 0.187716602072286 \tabularnewline
0.84 & 3.27659962291204 & 0.174106875010473 \tabularnewline
0.85 & 3.3211893282475 & 0.159561347659467 \tabularnewline
0.86 & 3.36312722934791 & 0.145104210266001 \tabularnewline
0.87 & 3.40245551938198 & 0.131485035013581 \tabularnewline
0.88 & 3.43931634838143 & 0.118982668836715 \tabularnewline
0.89 & 3.47388313621185 & 0.107461943982529 \tabularnewline
0.9 & 3.50632132320407 & 0.0966452446587086 \tabularnewline
0.91 & 3.53678954142533 & 0.086410527450929 \tabularnewline
0.92 & 3.56547410821309 & 0.0768587329459618 \tabularnewline
0.93 & 3.59266753225332 & 0.0681413712360409 \tabularnewline
0.94 & 3.6189584796205 & 0.0604775270095701 \tabularnewline
0.95 & 3.64563189815626 & 0.0547818548691509 \tabularnewline
0.96 & 3.67524637923626 & 0.0534712405105654 \tabularnewline
0.97 & 3.71182600851135 & 0.0591354630075818 \tabularnewline
0.98 & 3.7588080728186 & 0.0711462609119152 \tabularnewline
0.99 & 3.81179600113431 & 0.0863980658917109 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]-1.51793376658914[/C][C]0.368568404181145[/C][/ROW]
[ROW][C]0.02[/C][C]-1.30527321376318[/C][C]0.264455241783583[/C][/ROW]
[ROW][C]0.03[/C][C]-1.12232418189977[/C][C]0.230425525347313[/C][/ROW]
[ROW][C]0.04[/C][C]-0.975143598496141[/C][C]0.240897211679357[/C][/ROW]
[ROW][C]0.05[/C][C]-0.847933073321283[/C][C]0.254134623986657[/C][/ROW]
[ROW][C]0.06[/C][C]-0.732044141701824[/C][C]0.254530836161096[/C][/ROW]
[ROW][C]0.07[/C][C]-0.626422717110575[/C][C]0.242664154787361[/C][/ROW]
[ROW][C]0.08[/C][C]-0.5318852003932[/C][C]0.225448907190581[/C][/ROW]
[ROW][C]0.09[/C][C]-0.448038747535101[/C][C]0.210490630143656[/C][/ROW]
[ROW][C]0.1[/C][C]-0.372926886822167[/C][C]0.202510657991149[/C][/ROW]
[ROW][C]0.11[/C][C]-0.303853616893789[/C][C]0.20199090156999[/C][/ROW]
[ROW][C]0.12[/C][C]-0.238310646082672[/C][C]0.20643458671075[/C][/ROW]
[ROW][C]0.13[/C][C]-0.174535526817613[/C][C]0.212697938364623[/C][/ROW]
[ROW][C]0.14[/C][C]-0.11163895146902[/C][C]0.218392998162026[/C][/ROW]
[ROW][C]0.15[/C][C]-0.0494451398951366[/C][C]0.222120547265006[/C][/ROW]
[ROW][C]0.16[/C][C]0.0117739511806368[/C][C]0.223234569270683[/C][/ROW]
[ROW][C]0.17[/C][C]0.0715470302672866[/C][C]0.221621925661938[/C][/ROW]
[ROW][C]0.18[/C][C]0.129383774459279[/C][C]0.21757578137798[/C][/ROW]
[ROW][C]0.19[/C][C]0.184882290302942[/C][C]0.211677496268518[/C][/ROW]
[ROW][C]0.2[/C][C]0.237775588838158[/C][C]0.204619049197214[/C][/ROW]
[ROW][C]0.21[/C][C]0.287932050021502[/C][C]0.196997000206492[/C][/ROW]
[ROW][C]0.22[/C][C]0.335326952361472[/C][C]0.18916648211662[/C][/ROW]
[ROW][C]0.23[/C][C]0.3800049084474[/C][C]0.181240932336468[/C][/ROW]
[ROW][C]0.24[/C][C]0.422052123230363[/C][C]0.173222721589228[/C][/ROW]
[ROW][C]0.25[/C][C]0.461589877153917[/C][C]0.165197611961162[/C][/ROW]
[ROW][C]0.26[/C][C]0.498788567802361[/C][C]0.157468443053563[/C][/ROW]
[ROW][C]0.27[/C][C]0.533890509062723[/C][C]0.150578227695206[/C][/ROW]
[ROW][C]0.28[/C][C]0.567224666372123[/C][C]0.145192416748257[/C][/ROW]
[ROW][C]0.29[/C][C]0.599199538221985[/C][C]0.141890248634732[/C][/ROW]
[ROW][C]0.3[/C][C]0.63026955571738[/C][C]0.140936607617483[/C][/ROW]
[ROW][C]0.31[/C][C]0.660881308357469[/C][C]0.14214384305934[/C][/ROW]
[ROW][C]0.32[/C][C]0.691414081254338[/C][C]0.144906994599773[/C][/ROW]
[ROW][C]0.33[/C][C]0.722131757809504[/C][C]0.14838553018974[/C][/ROW]
[ROW][C]0.34[/C][C]0.753159735544407[/C][C]0.151727807194345[/C][/ROW]
[ROW][C]0.35[/C][C]0.784492923031597[/C][C]0.15428150466785[/C][/ROW]
[ROW][C]0.36[/C][C]0.816032071101457[/C][C]0.155717830615528[/C][/ROW]
[ROW][C]0.37[/C][C]0.847638509718522[/C][C]0.156074047485152[/C][/ROW]
[ROW][C]0.38[/C][C]0.879193687418885[/C][C]0.155724474233676[/C][/ROW]
[ROW][C]0.39[/C][C]0.910650228990984[/C][C]0.15527903581237[/C][/ROW]
[ROW][C]0.4[/C][C]0.942064778900982[/C][C]0.155455823750001[/C][/ROW]
[ROW][C]0.41[/C][C]0.973608181777221[/C][C]0.156937880958713[/C][/ROW]
[ROW][C]0.42[/C][C]1.00555393990793[/C][C]0.160252921567693[/C][/ROW]
[ROW][C]0.43[/C][C]1.03825011983154[/C][C]0.165688065082433[/C][/ROW]
[ROW][C]0.44[/C][C]1.07208229615572[/C][C]0.173276837954554[/C][/ROW]
[ROW][C]0.45[/C][C]1.10743563552209[/C][C]0.182831453930316[/C][/ROW]
[ROW][C]0.46[/C][C]1.14466313054739[/C][C]0.194007865964844[/C][/ROW]
[ROW][C]0.47[/C][C]1.18406473911038[/C][C]0.206405988907876[/C][/ROW]
[ROW][C]0.48[/C][C]1.22587922659604[/C][C]0.21963677643679[/C][/ROW]
[ROW][C]0.49[/C][C]1.27028730022649[/C][C]0.23339966000891[/C][/ROW]
[ROW][C]0.5[/C][C]1.31742167612064[/C][C]0.24750123204449[/C][/ROW]
[ROW][C]0.51[/C][C]1.36737764744098[/C][C]0.261843020773762[/C][/ROW]
[ROW][C]0.52[/C][C]1.42021718562335[/C][C]0.27636338761037[/C][/ROW]
[ROW][C]0.53[/C][C]1.47596110674111[/C][C]0.290931411645824[/C][/ROW]
[ROW][C]0.54[/C][C]1.53456742904999[/C][C]0.305240834682005[/C][/ROW]
[ROW][C]0.55[/C][C]1.59589912033769[/C][C]0.318736099512424[/C][/ROW]
[ROW][C]0.56[/C][C]1.65968967189118[/C][C]0.330608228112387[/C][/ROW]
[ROW][C]0.57[/C][C]1.72551859986242[/C][C]0.339893990988491[/C][/ROW]
[ROW][C]0.58[/C][C]1.79280943322177[/C][C]0.345639155718168[/C][/ROW]
[ROW][C]0.59[/C][C]1.86085911473351[/C][C]0.347123627215153[/C][/ROW]
[ROW][C]0.6[/C][C]1.92890037242044[/C][C]0.344057021487547[/C][/ROW]
[ROW][C]0.61[/C][C]1.99618923123066[/C][C]0.33671852846838[/C][/ROW]
[ROW][C]0.62[/C][C]2.06210114168037[/C][C]0.325975861505983[/C][/ROW]
[ROW][C]0.63[/C][C]2.1262141223403[/C][C]0.313198190391237[/C][/ROW]
[ROW][C]0.64[/C][C]2.18835798811868[/C][C]0.300001710794955[/C][/ROW]
[ROW][C]0.65[/C][C]2.24861569587924[/C][C]0.287945445064354[/C][/ROW]
[ROW][C]0.66[/C][C]2.30727462333584[/C][C]0.278170803935846[/C][/ROW]
[ROW][C]0.67[/C][C]2.36473902048207[/C][C]0.27114568943611[/C][/ROW]
[ROW][C]0.68[/C][C]2.42142589924011[/C][C]0.266592454637996[/C][/ROW]
[ROW][C]0.69[/C][C]2.47767162292154[/C][C]0.263633889444744[/C][/ROW]
[ROW][C]0.7[/C][C]2.53367343333759[/C][C]0.261152093133268[/C][/ROW]
[ROW][C]0.71[/C][C]2.58947957772017[/C][C]0.258153115059822[/C][/ROW]
[ROW][C]0.72[/C][C]2.64502655610077[/C][C]0.254057329781832[/C][/ROW]
[ROW][C]0.73[/C][C]2.70020701442165[/C][C]0.248830512240493[/C][/ROW]
[ROW][C]0.74[/C][C]2.75494193246894[/C][C]0.242926177478885[/C][/ROW]
[ROW][C]0.75[/C][C]2.80922954114058[/C][C]0.237037327424564[/C][/ROW]
[ROW][C]0.76[/C][C]2.86315162964576[/C][C]0.23180777720049[/C][/ROW]
[ROW][C]0.77[/C][C]2.91683313226972[/C][C]0.227512807108805[/C][/ROW]
[ROW][C]0.78[/C][C]2.97036812450892[/C][C]0.223886646876917[/C][/ROW]
[ROW][C]0.79[/C][C]3.02373866664397[/C][C]0.220191383016432[/C][/ROW]
[ROW][C]0.8[/C][C]3.0767574150744[/C][C]0.215423648440518[/C][/ROW]
[ROW][C]0.81[/C][C]3.12905844350697[/C][C]0.208682604941786[/C][/ROW]
[ROW][C]0.82[/C][C]3.18014478218443[/C][C]0.199434644011351[/C][/ROW]
[ROW][C]0.83[/C][C]3.22948076485684[/C][C]0.187716602072286[/C][/ROW]
[ROW][C]0.84[/C][C]3.27659962291204[/C][C]0.174106875010473[/C][/ROW]
[ROW][C]0.85[/C][C]3.3211893282475[/C][C]0.159561347659467[/C][/ROW]
[ROW][C]0.86[/C][C]3.36312722934791[/C][C]0.145104210266001[/C][/ROW]
[ROW][C]0.87[/C][C]3.40245551938198[/C][C]0.131485035013581[/C][/ROW]
[ROW][C]0.88[/C][C]3.43931634838143[/C][C]0.118982668836715[/C][/ROW]
[ROW][C]0.89[/C][C]3.47388313621185[/C][C]0.107461943982529[/C][/ROW]
[ROW][C]0.9[/C][C]3.50632132320407[/C][C]0.0966452446587086[/C][/ROW]
[ROW][C]0.91[/C][C]3.53678954142533[/C][C]0.086410527450929[/C][/ROW]
[ROW][C]0.92[/C][C]3.56547410821309[/C][C]0.0768587329459618[/C][/ROW]
[ROW][C]0.93[/C][C]3.59266753225332[/C][C]0.0681413712360409[/C][/ROW]
[ROW][C]0.94[/C][C]3.6189584796205[/C][C]0.0604775270095701[/C][/ROW]
[ROW][C]0.95[/C][C]3.64563189815626[/C][C]0.0547818548691509[/C][/ROW]
[ROW][C]0.96[/C][C]3.67524637923626[/C][C]0.0534712405105654[/C][/ROW]
[ROW][C]0.97[/C][C]3.71182600851135[/C][C]0.0591354630075818[/C][/ROW]
[ROW][C]0.98[/C][C]3.7588080728186[/C][C]0.0711462609119152[/C][/ROW]
[ROW][C]0.99[/C][C]3.81179600113431[/C][C]0.0863980658917109[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.01-1.517933766589140.368568404181145
0.02-1.305273213763180.264455241783583
0.03-1.122324181899770.230425525347313
0.04-0.9751435984961410.240897211679357
0.05-0.8479330733212830.254134623986657
0.06-0.7320441417018240.254530836161096
0.07-0.6264227171105750.242664154787361
0.08-0.53188520039320.225448907190581
0.09-0.4480387475351010.210490630143656
0.1-0.3729268868221670.202510657991149
0.11-0.3038536168937890.20199090156999
0.12-0.2383106460826720.20643458671075
0.13-0.1745355268176130.212697938364623
0.14-0.111638951469020.218392998162026
0.15-0.04944513989513660.222120547265006
0.160.01177395118063680.223234569270683
0.170.07154703026728660.221621925661938
0.180.1293837744592790.21757578137798
0.190.1848822903029420.211677496268518
0.20.2377755888381580.204619049197214
0.210.2879320500215020.196997000206492
0.220.3353269523614720.18916648211662
0.230.38000490844740.181240932336468
0.240.4220521232303630.173222721589228
0.250.4615898771539170.165197611961162
0.260.4987885678023610.157468443053563
0.270.5338905090627230.150578227695206
0.280.5672246663721230.145192416748257
0.290.5991995382219850.141890248634732
0.30.630269555717380.140936607617483
0.310.6608813083574690.14214384305934
0.320.6914140812543380.144906994599773
0.330.7221317578095040.14838553018974
0.340.7531597355444070.151727807194345
0.350.7844929230315970.15428150466785
0.360.8160320711014570.155717830615528
0.370.8476385097185220.156074047485152
0.380.8791936874188850.155724474233676
0.390.9106502289909840.15527903581237
0.40.9420647789009820.155455823750001
0.410.9736081817772210.156937880958713
0.421.005553939907930.160252921567693
0.431.038250119831540.165688065082433
0.441.072082296155720.173276837954554
0.451.107435635522090.182831453930316
0.461.144663130547390.194007865964844
0.471.184064739110380.206405988907876
0.481.225879226596040.21963677643679
0.491.270287300226490.23339966000891
0.51.317421676120640.24750123204449
0.511.367377647440980.261843020773762
0.521.420217185623350.27636338761037
0.531.475961106741110.290931411645824
0.541.534567429049990.305240834682005
0.551.595899120337690.318736099512424
0.561.659689671891180.330608228112387
0.571.725518599862420.339893990988491
0.581.792809433221770.345639155718168
0.591.860859114733510.347123627215153
0.61.928900372420440.344057021487547
0.611.996189231230660.33671852846838
0.622.062101141680370.325975861505983
0.632.12621412234030.313198190391237
0.642.188357988118680.300001710794955
0.652.248615695879240.287945445064354
0.662.307274623335840.278170803935846
0.672.364739020482070.27114568943611
0.682.421425899240110.266592454637996
0.692.477671622921540.263633889444744
0.72.533673433337590.261152093133268
0.712.589479577720170.258153115059822
0.722.645026556100770.254057329781832
0.732.700207014421650.248830512240493
0.742.754941932468940.242926177478885
0.752.809229541140580.237037327424564
0.762.863151629645760.23180777720049
0.772.916833132269720.227512807108805
0.782.970368124508920.223886646876917
0.793.023738666643970.220191383016432
0.83.07675741507440.215423648440518
0.813.129058443506970.208682604941786
0.823.180144782184430.199434644011351
0.833.229480764856840.187716602072286
0.843.276599622912040.174106875010473
0.853.32118932824750.159561347659467
0.863.363127229347910.145104210266001
0.873.402455519381980.131485035013581
0.883.439316348381430.118982668836715
0.893.473883136211850.107461943982529
0.93.506321323204070.0966452446587086
0.913.536789541425330.086410527450929
0.923.565474108213090.0768587329459618
0.933.592667532253320.0681413712360409
0.943.61895847962050.0604775270095701
0.953.645631898156260.0547818548691509
0.963.675246379236260.0534712405105654
0.973.711826008511350.0591354630075818
0.983.75880807281860.0711462609119152
0.993.811796001134310.0863980658917109


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')