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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, 12 Mar 2009 06:47:03 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/12/t1236862105bjslec4ubuh51z0.htm/, Retrieved Thu, 02 May 2024 03:24:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38987, Retrieved Thu, 02 May 2024 03:24:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact128

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] [decielen-monetair...] [2009-03-12 12:47:03] [b8e5917cf12776624abfb4c0afd3dea9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3
3,21
3,37
3,51
3,75
4,11
4,25
4,25
4,5
4,7
4,75
4,75
4,75
4,75
4,75
4,75
4,58
4,5
4,5
4,49
4,03
3,75
3,39
3,25
3,25
3,25
3,25
3,25
3,25
3,25
3,25
3,25
3,25
3,25
3,25
2,85
2,75
2,75
2,55
2,5
2,5
2,1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2,21
2,25
2,25
2,45
2,5
2,5
2,64
2,75
2,93
3
3,17
3,25
3,39
3,5
3,5
3,65
3,75
3,75
3,9
4
4
4
4
4
4
4
4
4
4
4
4
4,18
4,25
4,25
3,97
3,42
2,75
2,31
2

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38987&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38987&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38987&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0120
0.022.000000000000010
0.032.000000000000180
0.042.000000000002940
0.052.000000000034850
0.062.000000000319850
0.072.000000002380120
0.082.000000014808890
0.092.000000078808991.10857806227809e-06
0.12.000000365025222.21588551477874e-06
0.112.000001491986168.84445690083086e-06
0.122.000005442419632.65029384405216e-05
0.132.000017884670248.06403265221542e-05
0.142.000053369907820.000224250532156357
0.152.000145624968370.000565538564153689
0.162.000365539325280.00131183726907305
0.172.000848678790730.00280588618979963
0.182.001831446006490.00554932754852862
0.192.003690148117080.0102156272376664
0.22.006971327871460.0175564545310770
0.212.012397378529720.0282860926664412
0.222.020832007943120.0428535027397346
0.232.033197773979520.0612866945101666
0.242.050351956459590.0830049510806438
0.252.072943127668790.106835589140217
0.262.101282399693790.131143133435119
0.272.135264742883470.154104069919942
0.282.174365088643250.174062056159075
0.292.217714290806900.189833914852604
0.32.264238286303540.200913735203712
0.312.312827491707680.207547242767297
0.322.362497649463210.210593055307442
0.332.412508856716530.211322602440027
0.342.462423256764910.211111792118172
0.352.512098465046390.211162421602266
0.362.561627854323490.212292217702731
0.372.611246872744720.214832152308131
0.382.661226004052680.218621029961329
0.392.711767735718230.223078876240059
0.42.762920100136520.227300968271005
0.412.814515563859230.230182551936155
0.422.866142030415760.230558514711631
0.432.917151370044860.227367624692683
0.442.966708231981880.219869857904120
0.453.013876661999570.207772608525498
0.463.057734726361790.191376501686161
0.473.097500140872370.171559352897847
0.483.132645666664720.149691285689493
0.493.162983779394640.127452985756726
0.53.188706010407590.106618804370087
0.513.210371647810370.0888614409364417
0.523.228850348577790.0756227635007786
0.533.245230971186720.0679804397231944
0.543.260713013744590.0664441991648216
0.553.276497252210220.0707125303032683
0.563.293689382257330.0797924951019146
0.573.313225950093330.0924553591770296
0.583.335826773252590.107487957008673
0.593.36197326431290.123786051266410
0.63.39190821691070.140342058536849
0.613.425650206479720.156282028440713
0.623.463015129609880.170823466999160
0.633.503638540160330.183281935036730
0.643.546994894954540.193043543099321
0.653.592412886346840.199566650114849
0.663.639089046866450.202366174090857
0.673.686104332733590.201068085237111
0.683.732450104631680.195424095033588
0.693.77707028669110.185382271746481
0.73.818924663573430.171175342236435
0.713.857073645303560.153386508551279
0.723.890777871727630.133003189153865
0.733.919598854677960.111370078075905
0.743.943482569070960.0900968546748412
0.753.962808805303500.0708808723121724
0.763.978394870030890.0553784265282101
0.773.991449742391310.0451564777569658
0.784.003480323288910.0416302369199651
0.794.016154067992880.0453313577273583
0.84.031125794945670.0552847792940612
0.814.049846441509620.0696034729190343
0.824.073388508539150.0861900361098241
0.834.102336194440730.102958257746669
0.844.136779012556570.118168820122960
0.854.176406055220280.130776576044576
0.864.220643795465630.140448731932899
0.874.26876268741770.147129961385696
0.884.319933002510810.150553326563973
0.894.373297351074250.150348078448725
0.94.428122056245790.146849737193592
0.914.48391020178180.14150595268281
0.924.540154905902810.135457600198230
0.934.595552086189030.126943266488391
0.944.647150353371590.111340778879526
0.954.690543797823290.085822537723052
0.964.721766413511830.0541656814449364
0.974.739830266054940.0256657989944462
0.984.747572095466270.00796647015347771
0.994.74971891978650.00118616053714561

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2 & 0 \tabularnewline
0.02 & 2.00000000000001 & 0 \tabularnewline
0.03 & 2.00000000000018 & 0 \tabularnewline
0.04 & 2.00000000000294 & 0 \tabularnewline
0.05 & 2.00000000003485 & 0 \tabularnewline
0.06 & 2.00000000031985 & 0 \tabularnewline
0.07 & 2.00000000238012 & 0 \tabularnewline
0.08 & 2.00000001480889 & 0 \tabularnewline
0.09 & 2.00000007880899 & 1.10857806227809e-06 \tabularnewline
0.1 & 2.00000036502522 & 2.21588551477874e-06 \tabularnewline
0.11 & 2.00000149198616 & 8.84445690083086e-06 \tabularnewline
0.12 & 2.00000544241963 & 2.65029384405216e-05 \tabularnewline
0.13 & 2.00001788467024 & 8.06403265221542e-05 \tabularnewline
0.14 & 2.00005336990782 & 0.000224250532156357 \tabularnewline
0.15 & 2.00014562496837 & 0.000565538564153689 \tabularnewline
0.16 & 2.00036553932528 & 0.00131183726907305 \tabularnewline
0.17 & 2.00084867879073 & 0.00280588618979963 \tabularnewline
0.18 & 2.00183144600649 & 0.00554932754852862 \tabularnewline
0.19 & 2.00369014811708 & 0.0102156272376664 \tabularnewline
0.2 & 2.00697132787146 & 0.0175564545310770 \tabularnewline
0.21 & 2.01239737852972 & 0.0282860926664412 \tabularnewline
0.22 & 2.02083200794312 & 0.0428535027397346 \tabularnewline
0.23 & 2.03319777397952 & 0.0612866945101666 \tabularnewline
0.24 & 2.05035195645959 & 0.0830049510806438 \tabularnewline
0.25 & 2.07294312766879 & 0.106835589140217 \tabularnewline
0.26 & 2.10128239969379 & 0.131143133435119 \tabularnewline
0.27 & 2.13526474288347 & 0.154104069919942 \tabularnewline
0.28 & 2.17436508864325 & 0.174062056159075 \tabularnewline
0.29 & 2.21771429080690 & 0.189833914852604 \tabularnewline
0.3 & 2.26423828630354 & 0.200913735203712 \tabularnewline
0.31 & 2.31282749170768 & 0.207547242767297 \tabularnewline
0.32 & 2.36249764946321 & 0.210593055307442 \tabularnewline
0.33 & 2.41250885671653 & 0.211322602440027 \tabularnewline
0.34 & 2.46242325676491 & 0.211111792118172 \tabularnewline
0.35 & 2.51209846504639 & 0.211162421602266 \tabularnewline
0.36 & 2.56162785432349 & 0.212292217702731 \tabularnewline
0.37 & 2.61124687274472 & 0.214832152308131 \tabularnewline
0.38 & 2.66122600405268 & 0.218621029961329 \tabularnewline
0.39 & 2.71176773571823 & 0.223078876240059 \tabularnewline
0.4 & 2.76292010013652 & 0.227300968271005 \tabularnewline
0.41 & 2.81451556385923 & 0.230182551936155 \tabularnewline
0.42 & 2.86614203041576 & 0.230558514711631 \tabularnewline
0.43 & 2.91715137004486 & 0.227367624692683 \tabularnewline
0.44 & 2.96670823198188 & 0.219869857904120 \tabularnewline
0.45 & 3.01387666199957 & 0.207772608525498 \tabularnewline
0.46 & 3.05773472636179 & 0.191376501686161 \tabularnewline
0.47 & 3.09750014087237 & 0.171559352897847 \tabularnewline
0.48 & 3.13264566666472 & 0.149691285689493 \tabularnewline
0.49 & 3.16298377939464 & 0.127452985756726 \tabularnewline
0.5 & 3.18870601040759 & 0.106618804370087 \tabularnewline
0.51 & 3.21037164781037 & 0.0888614409364417 \tabularnewline
0.52 & 3.22885034857779 & 0.0756227635007786 \tabularnewline
0.53 & 3.24523097118672 & 0.0679804397231944 \tabularnewline
0.54 & 3.26071301374459 & 0.0664441991648216 \tabularnewline
0.55 & 3.27649725221022 & 0.0707125303032683 \tabularnewline
0.56 & 3.29368938225733 & 0.0797924951019146 \tabularnewline
0.57 & 3.31322595009333 & 0.0924553591770296 \tabularnewline
0.58 & 3.33582677325259 & 0.107487957008673 \tabularnewline
0.59 & 3.3619732643129 & 0.123786051266410 \tabularnewline
0.6 & 3.3919082169107 & 0.140342058536849 \tabularnewline
0.61 & 3.42565020647972 & 0.156282028440713 \tabularnewline
0.62 & 3.46301512960988 & 0.170823466999160 \tabularnewline
0.63 & 3.50363854016033 & 0.183281935036730 \tabularnewline
0.64 & 3.54699489495454 & 0.193043543099321 \tabularnewline
0.65 & 3.59241288634684 & 0.199566650114849 \tabularnewline
0.66 & 3.63908904686645 & 0.202366174090857 \tabularnewline
0.67 & 3.68610433273359 & 0.201068085237111 \tabularnewline
0.68 & 3.73245010463168 & 0.195424095033588 \tabularnewline
0.69 & 3.7770702866911 & 0.185382271746481 \tabularnewline
0.7 & 3.81892466357343 & 0.171175342236435 \tabularnewline
0.71 & 3.85707364530356 & 0.153386508551279 \tabularnewline
0.72 & 3.89077787172763 & 0.133003189153865 \tabularnewline
0.73 & 3.91959885467796 & 0.111370078075905 \tabularnewline
0.74 & 3.94348256907096 & 0.0900968546748412 \tabularnewline
0.75 & 3.96280880530350 & 0.0708808723121724 \tabularnewline
0.76 & 3.97839487003089 & 0.0553784265282101 \tabularnewline
0.77 & 3.99144974239131 & 0.0451564777569658 \tabularnewline
0.78 & 4.00348032328891 & 0.0416302369199651 \tabularnewline
0.79 & 4.01615406799288 & 0.0453313577273583 \tabularnewline
0.8 & 4.03112579494567 & 0.0552847792940612 \tabularnewline
0.81 & 4.04984644150962 & 0.0696034729190343 \tabularnewline
0.82 & 4.07338850853915 & 0.0861900361098241 \tabularnewline
0.83 & 4.10233619444073 & 0.102958257746669 \tabularnewline
0.84 & 4.13677901255657 & 0.118168820122960 \tabularnewline
0.85 & 4.17640605522028 & 0.130776576044576 \tabularnewline
0.86 & 4.22064379546563 & 0.140448731932899 \tabularnewline
0.87 & 4.2687626874177 & 0.147129961385696 \tabularnewline
0.88 & 4.31993300251081 & 0.150553326563973 \tabularnewline
0.89 & 4.37329735107425 & 0.150348078448725 \tabularnewline
0.9 & 4.42812205624579 & 0.146849737193592 \tabularnewline
0.91 & 4.4839102017818 & 0.14150595268281 \tabularnewline
0.92 & 4.54015490590281 & 0.135457600198230 \tabularnewline
0.93 & 4.59555208618903 & 0.126943266488391 \tabularnewline
0.94 & 4.64715035337159 & 0.111340778879526 \tabularnewline
0.95 & 4.69054379782329 & 0.085822537723052 \tabularnewline
0.96 & 4.72176641351183 & 0.0541656814449364 \tabularnewline
0.97 & 4.73983026605494 & 0.0256657989944462 \tabularnewline
0.98 & 4.74757209546627 & 0.00796647015347771 \tabularnewline
0.99 & 4.7497189197865 & 0.00118616053714561 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38987&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]2[/C][C]0[/C][/ROW]
[ROW][C]0.02[/C][C]2.00000000000001[/C][C]0[/C][/ROW]
[ROW][C]0.03[/C][C]2.00000000000018[/C][C]0[/C][/ROW]
[ROW][C]0.04[/C][C]2.00000000000294[/C][C]0[/C][/ROW]
[ROW][C]0.05[/C][C]2.00000000003485[/C][C]0[/C][/ROW]
[ROW][C]0.06[/C][C]2.00000000031985[/C][C]0[/C][/ROW]
[ROW][C]0.07[/C][C]2.00000000238012[/C][C]0[/C][/ROW]
[ROW][C]0.08[/C][C]2.00000001480889[/C][C]0[/C][/ROW]
[ROW][C]0.09[/C][C]2.00000007880899[/C][C]1.10857806227809e-06[/C][/ROW]
[ROW][C]0.1[/C][C]2.00000036502522[/C][C]2.21588551477874e-06[/C][/ROW]
[ROW][C]0.11[/C][C]2.00000149198616[/C][C]8.84445690083086e-06[/C][/ROW]
[ROW][C]0.12[/C][C]2.00000544241963[/C][C]2.65029384405216e-05[/C][/ROW]
[ROW][C]0.13[/C][C]2.00001788467024[/C][C]8.06403265221542e-05[/C][/ROW]
[ROW][C]0.14[/C][C]2.00005336990782[/C][C]0.000224250532156357[/C][/ROW]
[ROW][C]0.15[/C][C]2.00014562496837[/C][C]0.000565538564153689[/C][/ROW]
[ROW][C]0.16[/C][C]2.00036553932528[/C][C]0.00131183726907305[/C][/ROW]
[ROW][C]0.17[/C][C]2.00084867879073[/C][C]0.00280588618979963[/C][/ROW]
[ROW][C]0.18[/C][C]2.00183144600649[/C][C]0.00554932754852862[/C][/ROW]
[ROW][C]0.19[/C][C]2.00369014811708[/C][C]0.0102156272376664[/C][/ROW]
[ROW][C]0.2[/C][C]2.00697132787146[/C][C]0.0175564545310770[/C][/ROW]
[ROW][C]0.21[/C][C]2.01239737852972[/C][C]0.0282860926664412[/C][/ROW]
[ROW][C]0.22[/C][C]2.02083200794312[/C][C]0.0428535027397346[/C][/ROW]
[ROW][C]0.23[/C][C]2.03319777397952[/C][C]0.0612866945101666[/C][/ROW]
[ROW][C]0.24[/C][C]2.05035195645959[/C][C]0.0830049510806438[/C][/ROW]
[ROW][C]0.25[/C][C]2.07294312766879[/C][C]0.106835589140217[/C][/ROW]
[ROW][C]0.26[/C][C]2.10128239969379[/C][C]0.131143133435119[/C][/ROW]
[ROW][C]0.27[/C][C]2.13526474288347[/C][C]0.154104069919942[/C][/ROW]
[ROW][C]0.28[/C][C]2.17436508864325[/C][C]0.174062056159075[/C][/ROW]
[ROW][C]0.29[/C][C]2.21771429080690[/C][C]0.189833914852604[/C][/ROW]
[ROW][C]0.3[/C][C]2.26423828630354[/C][C]0.200913735203712[/C][/ROW]
[ROW][C]0.31[/C][C]2.31282749170768[/C][C]0.207547242767297[/C][/ROW]
[ROW][C]0.32[/C][C]2.36249764946321[/C][C]0.210593055307442[/C][/ROW]
[ROW][C]0.33[/C][C]2.41250885671653[/C][C]0.211322602440027[/C][/ROW]
[ROW][C]0.34[/C][C]2.46242325676491[/C][C]0.211111792118172[/C][/ROW]
[ROW][C]0.35[/C][C]2.51209846504639[/C][C]0.211162421602266[/C][/ROW]
[ROW][C]0.36[/C][C]2.56162785432349[/C][C]0.212292217702731[/C][/ROW]
[ROW][C]0.37[/C][C]2.61124687274472[/C][C]0.214832152308131[/C][/ROW]
[ROW][C]0.38[/C][C]2.66122600405268[/C][C]0.218621029961329[/C][/ROW]
[ROW][C]0.39[/C][C]2.71176773571823[/C][C]0.223078876240059[/C][/ROW]
[ROW][C]0.4[/C][C]2.76292010013652[/C][C]0.227300968271005[/C][/ROW]
[ROW][C]0.41[/C][C]2.81451556385923[/C][C]0.230182551936155[/C][/ROW]
[ROW][C]0.42[/C][C]2.86614203041576[/C][C]0.230558514711631[/C][/ROW]
[ROW][C]0.43[/C][C]2.91715137004486[/C][C]0.227367624692683[/C][/ROW]
[ROW][C]0.44[/C][C]2.96670823198188[/C][C]0.219869857904120[/C][/ROW]
[ROW][C]0.45[/C][C]3.01387666199957[/C][C]0.207772608525498[/C][/ROW]
[ROW][C]0.46[/C][C]3.05773472636179[/C][C]0.191376501686161[/C][/ROW]
[ROW][C]0.47[/C][C]3.09750014087237[/C][C]0.171559352897847[/C][/ROW]
[ROW][C]0.48[/C][C]3.13264566666472[/C][C]0.149691285689493[/C][/ROW]
[ROW][C]0.49[/C][C]3.16298377939464[/C][C]0.127452985756726[/C][/ROW]
[ROW][C]0.5[/C][C]3.18870601040759[/C][C]0.106618804370087[/C][/ROW]
[ROW][C]0.51[/C][C]3.21037164781037[/C][C]0.0888614409364417[/C][/ROW]
[ROW][C]0.52[/C][C]3.22885034857779[/C][C]0.0756227635007786[/C][/ROW]
[ROW][C]0.53[/C][C]3.24523097118672[/C][C]0.0679804397231944[/C][/ROW]
[ROW][C]0.54[/C][C]3.26071301374459[/C][C]0.0664441991648216[/C][/ROW]
[ROW][C]0.55[/C][C]3.27649725221022[/C][C]0.0707125303032683[/C][/ROW]
[ROW][C]0.56[/C][C]3.29368938225733[/C][C]0.0797924951019146[/C][/ROW]
[ROW][C]0.57[/C][C]3.31322595009333[/C][C]0.0924553591770296[/C][/ROW]
[ROW][C]0.58[/C][C]3.33582677325259[/C][C]0.107487957008673[/C][/ROW]
[ROW][C]0.59[/C][C]3.3619732643129[/C][C]0.123786051266410[/C][/ROW]
[ROW][C]0.6[/C][C]3.3919082169107[/C][C]0.140342058536849[/C][/ROW]
[ROW][C]0.61[/C][C]3.42565020647972[/C][C]0.156282028440713[/C][/ROW]
[ROW][C]0.62[/C][C]3.46301512960988[/C][C]0.170823466999160[/C][/ROW]
[ROW][C]0.63[/C][C]3.50363854016033[/C][C]0.183281935036730[/C][/ROW]
[ROW][C]0.64[/C][C]3.54699489495454[/C][C]0.193043543099321[/C][/ROW]
[ROW][C]0.65[/C][C]3.59241288634684[/C][C]0.199566650114849[/C][/ROW]
[ROW][C]0.66[/C][C]3.63908904686645[/C][C]0.202366174090857[/C][/ROW]
[ROW][C]0.67[/C][C]3.68610433273359[/C][C]0.201068085237111[/C][/ROW]
[ROW][C]0.68[/C][C]3.73245010463168[/C][C]0.195424095033588[/C][/ROW]
[ROW][C]0.69[/C][C]3.7770702866911[/C][C]0.185382271746481[/C][/ROW]
[ROW][C]0.7[/C][C]3.81892466357343[/C][C]0.171175342236435[/C][/ROW]
[ROW][C]0.71[/C][C]3.85707364530356[/C][C]0.153386508551279[/C][/ROW]
[ROW][C]0.72[/C][C]3.89077787172763[/C][C]0.133003189153865[/C][/ROW]
[ROW][C]0.73[/C][C]3.91959885467796[/C][C]0.111370078075905[/C][/ROW]
[ROW][C]0.74[/C][C]3.94348256907096[/C][C]0.0900968546748412[/C][/ROW]
[ROW][C]0.75[/C][C]3.96280880530350[/C][C]0.0708808723121724[/C][/ROW]
[ROW][C]0.76[/C][C]3.97839487003089[/C][C]0.0553784265282101[/C][/ROW]
[ROW][C]0.77[/C][C]3.99144974239131[/C][C]0.0451564777569658[/C][/ROW]
[ROW][C]0.78[/C][C]4.00348032328891[/C][C]0.0416302369199651[/C][/ROW]
[ROW][C]0.79[/C][C]4.01615406799288[/C][C]0.0453313577273583[/C][/ROW]
[ROW][C]0.8[/C][C]4.03112579494567[/C][C]0.0552847792940612[/C][/ROW]
[ROW][C]0.81[/C][C]4.04984644150962[/C][C]0.0696034729190343[/C][/ROW]
[ROW][C]0.82[/C][C]4.07338850853915[/C][C]0.0861900361098241[/C][/ROW]
[ROW][C]0.83[/C][C]4.10233619444073[/C][C]0.102958257746669[/C][/ROW]
[ROW][C]0.84[/C][C]4.13677901255657[/C][C]0.118168820122960[/C][/ROW]
[ROW][C]0.85[/C][C]4.17640605522028[/C][C]0.130776576044576[/C][/ROW]
[ROW][C]0.86[/C][C]4.22064379546563[/C][C]0.140448731932899[/C][/ROW]
[ROW][C]0.87[/C][C]4.2687626874177[/C][C]0.147129961385696[/C][/ROW]
[ROW][C]0.88[/C][C]4.31993300251081[/C][C]0.150553326563973[/C][/ROW]
[ROW][C]0.89[/C][C]4.37329735107425[/C][C]0.150348078448725[/C][/ROW]
[ROW][C]0.9[/C][C]4.42812205624579[/C][C]0.146849737193592[/C][/ROW]
[ROW][C]0.91[/C][C]4.4839102017818[/C][C]0.14150595268281[/C][/ROW]
[ROW][C]0.92[/C][C]4.54015490590281[/C][C]0.135457600198230[/C][/ROW]
[ROW][C]0.93[/C][C]4.59555208618903[/C][C]0.126943266488391[/C][/ROW]
[ROW][C]0.94[/C][C]4.64715035337159[/C][C]0.111340778879526[/C][/ROW]
[ROW][C]0.95[/C][C]4.69054379782329[/C][C]0.085822537723052[/C][/ROW]
[ROW][C]0.96[/C][C]4.72176641351183[/C][C]0.0541656814449364[/C][/ROW]
[ROW][C]0.97[/C][C]4.73983026605494[/C][C]0.0256657989944462[/C][/ROW]
[ROW][C]0.98[/C][C]4.74757209546627[/C][C]0.00796647015347771[/C][/ROW]
[ROW][C]0.99[/C][C]4.7497189197865[/C][C]0.00118616053714561[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38987&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38987&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
0.0120
0.022.000000000000010
0.032.000000000000180
0.042.000000000002940
0.052.000000000034850
0.062.000000000319850
0.072.000000002380120
0.082.000000014808890
0.092.000000078808991.10857806227809e-06
0.12.000000365025222.21588551477874e-06
0.112.000001491986168.84445690083086e-06
0.122.000005442419632.65029384405216e-05
0.132.000017884670248.06403265221542e-05
0.142.000053369907820.000224250532156357
0.152.000145624968370.000565538564153689
0.162.000365539325280.00131183726907305
0.172.000848678790730.00280588618979963
0.182.001831446006490.00554932754852862
0.192.003690148117080.0102156272376664
0.22.006971327871460.0175564545310770
0.212.012397378529720.0282860926664412
0.222.020832007943120.0428535027397346
0.232.033197773979520.0612866945101666
0.242.050351956459590.0830049510806438
0.252.072943127668790.106835589140217
0.262.101282399693790.131143133435119
0.272.135264742883470.154104069919942
0.282.174365088643250.174062056159075
0.292.217714290806900.189833914852604
0.32.264238286303540.200913735203712
0.312.312827491707680.207547242767297
0.322.362497649463210.210593055307442
0.332.412508856716530.211322602440027
0.342.462423256764910.211111792118172
0.352.512098465046390.211162421602266
0.362.561627854323490.212292217702731
0.372.611246872744720.214832152308131
0.382.661226004052680.218621029961329
0.392.711767735718230.223078876240059
0.42.762920100136520.227300968271005
0.412.814515563859230.230182551936155
0.422.866142030415760.230558514711631
0.432.917151370044860.227367624692683
0.442.966708231981880.219869857904120
0.453.013876661999570.207772608525498
0.463.057734726361790.191376501686161
0.473.097500140872370.171559352897847
0.483.132645666664720.149691285689493
0.493.162983779394640.127452985756726
0.53.188706010407590.106618804370087
0.513.210371647810370.0888614409364417
0.523.228850348577790.0756227635007786
0.533.245230971186720.0679804397231944
0.543.260713013744590.0664441991648216
0.553.276497252210220.0707125303032683
0.563.293689382257330.0797924951019146
0.573.313225950093330.0924553591770296
0.583.335826773252590.107487957008673
0.593.36197326431290.123786051266410
0.63.39190821691070.140342058536849
0.613.425650206479720.156282028440713
0.623.463015129609880.170823466999160
0.633.503638540160330.183281935036730
0.643.546994894954540.193043543099321
0.653.592412886346840.199566650114849
0.663.639089046866450.202366174090857
0.673.686104332733590.201068085237111
0.683.732450104631680.195424095033588
0.693.77707028669110.185382271746481
0.73.818924663573430.171175342236435
0.713.857073645303560.153386508551279
0.723.890777871727630.133003189153865
0.733.919598854677960.111370078075905
0.743.943482569070960.0900968546748412
0.753.962808805303500.0708808723121724
0.763.978394870030890.0553784265282101
0.773.991449742391310.0451564777569658
0.784.003480323288910.0416302369199651
0.794.016154067992880.0453313577273583
0.84.031125794945670.0552847792940612
0.814.049846441509620.0696034729190343
0.824.073388508539150.0861900361098241
0.834.102336194440730.102958257746669
0.844.136779012556570.118168820122960
0.854.176406055220280.130776576044576
0.864.220643795465630.140448731932899
0.874.26876268741770.147129961385696
0.884.319933002510810.150553326563973
0.894.373297351074250.150348078448725
0.94.428122056245790.146849737193592
0.914.48391020178180.14150595268281
0.924.540154905902810.135457600198230
0.934.595552086189030.126943266488391
0.944.647150353371590.111340778879526
0.954.690543797823290.085822537723052
0.964.721766413511830.0541656814449364
0.974.739830266054940.0256657989944462
0.984.747572095466270.00796647015347771
0.994.74971891978650.00118616053714561


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')