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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 computationSun, 10 May 2015 11:28:17 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/May/10/t1431253789f2bdhapg3ggewov.htm/, Retrieved Fri, 13 Feb 2026 03:38:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279049, Retrieved Fri, 13 Feb 2026 03:38:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact468

Tree of Dependent Computations

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-     [Standard Deviation-Mean Plot] [levendgeborende v...] [2015-04-30 11:00:53] [43a2f000083f7295d897313060757d3a]
- RMPD    [Harrell-Davis Quantiles] [percentielen cons...] [2015-05-10 10:28:17] [e6344a6a1a33122c0bdf1792ef294740] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-5
-6
-6
-7
-12
-16
-18
-19
-20
-24
-17
-23
-25
-24
-17
-14
-16
-13
-10
-10
-12
-12
-20
-16
-12
-14
-7
-9
-9
-4
-3
1
-1
-2
1
-3
-2
0
-2
-4
-4
-7
-9
-13
-8
-13
-15
-15
-15
-10
-12
-11
-11
-17
-18
-19
-22
-24
-24
-20
-25
-22
-17
-9
-11
-13
-11
-9
-7
-3
-3
-6
-4
-8
-1
-2
-2
-1
1
2
2
-1
1
-1
-8
1
2
-2
-2
-2
-2
-6
-4
-5
-2
-1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279049&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279049&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279049&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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-24.87130953855580.320998720593288
0.02-24.59397286874580.50912422372016
0.03-24.26241302021560.519371268053815
0.04-23.93013854242640.613056913629235
0.05-23.5718725238090.862804875448859
0.06-23.14513148462031.15964366721914
0.07-22.63761653684871.40725905238664
0.08-22.06990401843891.56021981236027
0.09-21.47687301722251.61755150580037
0.1-20.89044666382021.60459564744522
0.11-20.33136940848031.55442468411592
0.12-19.80874451402281.49380278605845
0.13-19.32354050230821.43673115058271
0.14-18.87279360885971.38542502612129
0.15-18.4526123043631.33693442654408
0.16-18.05944414418581.28954400843438
0.17-17.69002009823851.24566165246037
0.18-17.34078400788241.21089617135845
0.19-17.00750059996171.1910797224453
0.2-16.68535413862841.18932556267027
0.21-16.36947572493031.2047991470295
0.22-16.0556371883371.23306966487502
0.23-15.74084191226561.26776300822636
0.24-15.42364980924441.30199405035815
0.25-15.10419987409471.32959812086785
0.26-14.78398019226981.3458253644188
0.27-14.46542999270621.34770686513888
0.28-14.15145864256511.33436287876133
0.29-13.84495464943471.30700484423201
0.3-13.5483460433221.26869393022084
0.31-13.26326269505521.22386185822705
0.32-12.99033693257441.1776145036539
0.33-12.7291589263881.13500625588674
0.34-12.47838001692871.10032769545865
0.35-12.2359356454781.07652719438273
0.36-11.99934460317141.06493426280926
0.37-11.7660350454711.06515134359702
0.38-11.53364946068871.07530514974026
0.39-11.3002884004671.09247596024117
0.4-11.06466417632831.11322751375414
0.41-10.82614954502211.13416004320694
0.42-10.58472181756421.15250743939684
0.43-10.34081877917021.16645823235386
0.44-10.0951373509151.17536269818608
0.45-9.848416126131611.17977633538246
0.46-9.601245568975161.1811620001725
0.47-9.353942630359231.18145892131214
0.48-9.106510162228941.18257517968946
0.49-8.858679351598371.18579629746236
0.5-8.61001165514671.19159409570976
0.51-8.360022328432611.19957646730722
0.52-8.108285654044441.20885631196486
0.53-7.854493323092671.21844397440071
0.54-7.598458220270591.22761175776441
0.55-7.340078556908111.23615419115119
0.56-7.079293393400641.24425639984385
0.57-6.816063821175071.25223103590008
0.58-6.55040281068671.26002522720358
0.59-6.282454783199321.26697497673703
0.6-6.012601440480631.27162101061293
0.61-5.741552999539551.27192303873463
0.62-5.470381576861961.26572750593871
0.63-5.200468889206041.25138516261803
0.64-4.933369834870671.22825712790697
0.65-4.670626977391851.19696260527391
0.66-4.413595602051861.15921677450022
0.67-4.163343758566111.11722741205429
0.68-3.920671839010531.07291355665791
0.69-3.6862559895571.02712160818883
0.7-3.460871352042910.979227856982835
0.71-3.245611254723660.927326182507003
0.72-3.042002074167660.868958908513722
0.73-2.851929175406610.802205132007316
0.74-2.677336455461980.726779882081867
0.75-2.519730649745290.644804952362918
0.76-2.379594767786360.561051996899673
0.77-2.255872196479440.482583074360491
0.78-2.145703350609560.417859358492193
0.79-2.04456274376820.375198353542665
0.8-1.946846490719480.359920401113108
0.81-1.846805151545190.37082870113182
0.82-1.739538944858970.399789963848147
0.83-1.621643354953430.435869048943026
0.84-1.491114590192510.470534528170475
0.85-1.346386419507360.501687273885335
0.86-1.18487210797430.535581205131837
0.87-1.001948724231660.584138962077054
0.88-0.7915675136134770.655375875546292
0.89-0.5491636214177070.741557862620284
0.9-0.2761042279701820.815986365365113
0.910.01694071799728780.843106574964078
0.920.3112929429595310.797874921172695
0.930.5882797877637370.685781458149443
0.940.8411901243462390.552202244191814
0.951.081909829759980.469540960240688
0.961.330626166823560.470361433556473
0.971.587938819255380.468017206914908
0.981.814395471197380.348690516062909
0.991.955003664871260.136594319603221

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -24.8713095385558 & 0.320998720593288 \tabularnewline
0.02 & -24.5939728687458 & 0.50912422372016 \tabularnewline
0.03 & -24.2624130202156 & 0.519371268053815 \tabularnewline
0.04 & -23.9301385424264 & 0.613056913629235 \tabularnewline
0.05 & -23.571872523809 & 0.862804875448859 \tabularnewline
0.06 & -23.1451314846203 & 1.15964366721914 \tabularnewline
0.07 & -22.6376165368487 & 1.40725905238664 \tabularnewline
0.08 & -22.0699040184389 & 1.56021981236027 \tabularnewline
0.09 & -21.4768730172225 & 1.61755150580037 \tabularnewline
0.1 & -20.8904466638202 & 1.60459564744522 \tabularnewline
0.11 & -20.3313694084803 & 1.55442468411592 \tabularnewline
0.12 & -19.8087445140228 & 1.49380278605845 \tabularnewline
0.13 & -19.3235405023082 & 1.43673115058271 \tabularnewline
0.14 & -18.8727936088597 & 1.38542502612129 \tabularnewline
0.15 & -18.452612304363 & 1.33693442654408 \tabularnewline
0.16 & -18.0594441441858 & 1.28954400843438 \tabularnewline
0.17 & -17.6900200982385 & 1.24566165246037 \tabularnewline
0.18 & -17.3407840078824 & 1.21089617135845 \tabularnewline
0.19 & -17.0075005999617 & 1.1910797224453 \tabularnewline
0.2 & -16.6853541386284 & 1.18932556267027 \tabularnewline
0.21 & -16.3694757249303 & 1.2047991470295 \tabularnewline
0.22 & -16.055637188337 & 1.23306966487502 \tabularnewline
0.23 & -15.7408419122656 & 1.26776300822636 \tabularnewline
0.24 & -15.4236498092444 & 1.30199405035815 \tabularnewline
0.25 & -15.1041998740947 & 1.32959812086785 \tabularnewline
0.26 & -14.7839801922698 & 1.3458253644188 \tabularnewline
0.27 & -14.4654299927062 & 1.34770686513888 \tabularnewline
0.28 & -14.1514586425651 & 1.33436287876133 \tabularnewline
0.29 & -13.8449546494347 & 1.30700484423201 \tabularnewline
0.3 & -13.548346043322 & 1.26869393022084 \tabularnewline
0.31 & -13.2632626950552 & 1.22386185822705 \tabularnewline
0.32 & -12.9903369325744 & 1.1776145036539 \tabularnewline
0.33 & -12.729158926388 & 1.13500625588674 \tabularnewline
0.34 & -12.4783800169287 & 1.10032769545865 \tabularnewline
0.35 & -12.235935645478 & 1.07652719438273 \tabularnewline
0.36 & -11.9993446031714 & 1.06493426280926 \tabularnewline
0.37 & -11.766035045471 & 1.06515134359702 \tabularnewline
0.38 & -11.5336494606887 & 1.07530514974026 \tabularnewline
0.39 & -11.300288400467 & 1.09247596024117 \tabularnewline
0.4 & -11.0646641763283 & 1.11322751375414 \tabularnewline
0.41 & -10.8261495450221 & 1.13416004320694 \tabularnewline
0.42 & -10.5847218175642 & 1.15250743939684 \tabularnewline
0.43 & -10.3408187791702 & 1.16645823235386 \tabularnewline
0.44 & -10.095137350915 & 1.17536269818608 \tabularnewline
0.45 & -9.84841612613161 & 1.17977633538246 \tabularnewline
0.46 & -9.60124556897516 & 1.1811620001725 \tabularnewline
0.47 & -9.35394263035923 & 1.18145892131214 \tabularnewline
0.48 & -9.10651016222894 & 1.18257517968946 \tabularnewline
0.49 & -8.85867935159837 & 1.18579629746236 \tabularnewline
0.5 & -8.6100116551467 & 1.19159409570976 \tabularnewline
0.51 & -8.36002232843261 & 1.19957646730722 \tabularnewline
0.52 & -8.10828565404444 & 1.20885631196486 \tabularnewline
0.53 & -7.85449332309267 & 1.21844397440071 \tabularnewline
0.54 & -7.59845822027059 & 1.22761175776441 \tabularnewline
0.55 & -7.34007855690811 & 1.23615419115119 \tabularnewline
0.56 & -7.07929339340064 & 1.24425639984385 \tabularnewline
0.57 & -6.81606382117507 & 1.25223103590008 \tabularnewline
0.58 & -6.5504028106867 & 1.26002522720358 \tabularnewline
0.59 & -6.28245478319932 & 1.26697497673703 \tabularnewline
0.6 & -6.01260144048063 & 1.27162101061293 \tabularnewline
0.61 & -5.74155299953955 & 1.27192303873463 \tabularnewline
0.62 & -5.47038157686196 & 1.26572750593871 \tabularnewline
0.63 & -5.20046888920604 & 1.25138516261803 \tabularnewline
0.64 & -4.93336983487067 & 1.22825712790697 \tabularnewline
0.65 & -4.67062697739185 & 1.19696260527391 \tabularnewline
0.66 & -4.41359560205186 & 1.15921677450022 \tabularnewline
0.67 & -4.16334375856611 & 1.11722741205429 \tabularnewline
0.68 & -3.92067183901053 & 1.07291355665791 \tabularnewline
0.69 & -3.686255989557 & 1.02712160818883 \tabularnewline
0.7 & -3.46087135204291 & 0.979227856982835 \tabularnewline
0.71 & -3.24561125472366 & 0.927326182507003 \tabularnewline
0.72 & -3.04200207416766 & 0.868958908513722 \tabularnewline
0.73 & -2.85192917540661 & 0.802205132007316 \tabularnewline
0.74 & -2.67733645546198 & 0.726779882081867 \tabularnewline
0.75 & -2.51973064974529 & 0.644804952362918 \tabularnewline
0.76 & -2.37959476778636 & 0.561051996899673 \tabularnewline
0.77 & -2.25587219647944 & 0.482583074360491 \tabularnewline
0.78 & -2.14570335060956 & 0.417859358492193 \tabularnewline
0.79 & -2.0445627437682 & 0.375198353542665 \tabularnewline
0.8 & -1.94684649071948 & 0.359920401113108 \tabularnewline
0.81 & -1.84680515154519 & 0.37082870113182 \tabularnewline
0.82 & -1.73953894485897 & 0.399789963848147 \tabularnewline
0.83 & -1.62164335495343 & 0.435869048943026 \tabularnewline
0.84 & -1.49111459019251 & 0.470534528170475 \tabularnewline
0.85 & -1.34638641950736 & 0.501687273885335 \tabularnewline
0.86 & -1.1848721079743 & 0.535581205131837 \tabularnewline
0.87 & -1.00194872423166 & 0.584138962077054 \tabularnewline
0.88 & -0.791567513613477 & 0.655375875546292 \tabularnewline
0.89 & -0.549163621417707 & 0.741557862620284 \tabularnewline
0.9 & -0.276104227970182 & 0.815986365365113 \tabularnewline
0.91 & 0.0169407179972878 & 0.843106574964078 \tabularnewline
0.92 & 0.311292942959531 & 0.797874921172695 \tabularnewline
0.93 & 0.588279787763737 & 0.685781458149443 \tabularnewline
0.94 & 0.841190124346239 & 0.552202244191814 \tabularnewline
0.95 & 1.08190982975998 & 0.469540960240688 \tabularnewline
0.96 & 1.33062616682356 & 0.470361433556473 \tabularnewline
0.97 & 1.58793881925538 & 0.468017206914908 \tabularnewline
0.98 & 1.81439547119738 & 0.348690516062909 \tabularnewline
0.99 & 1.95500366487126 & 0.136594319603221 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279049&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]-24.8713095385558[/C][C]0.320998720593288[/C][/ROW]
[ROW][C]0.02[/C][C]-24.5939728687458[/C][C]0.50912422372016[/C][/ROW]
[ROW][C]0.03[/C][C]-24.2624130202156[/C][C]0.519371268053815[/C][/ROW]
[ROW][C]0.04[/C][C]-23.9301385424264[/C][C]0.613056913629235[/C][/ROW]
[ROW][C]0.05[/C][C]-23.571872523809[/C][C]0.862804875448859[/C][/ROW]
[ROW][C]0.06[/C][C]-23.1451314846203[/C][C]1.15964366721914[/C][/ROW]
[ROW][C]0.07[/C][C]-22.6376165368487[/C][C]1.40725905238664[/C][/ROW]
[ROW][C]0.08[/C][C]-22.0699040184389[/C][C]1.56021981236027[/C][/ROW]
[ROW][C]0.09[/C][C]-21.4768730172225[/C][C]1.61755150580037[/C][/ROW]
[ROW][C]0.1[/C][C]-20.8904466638202[/C][C]1.60459564744522[/C][/ROW]
[ROW][C]0.11[/C][C]-20.3313694084803[/C][C]1.55442468411592[/C][/ROW]
[ROW][C]0.12[/C][C]-19.8087445140228[/C][C]1.49380278605845[/C][/ROW]
[ROW][C]0.13[/C][C]-19.3235405023082[/C][C]1.43673115058271[/C][/ROW]
[ROW][C]0.14[/C][C]-18.8727936088597[/C][C]1.38542502612129[/C][/ROW]
[ROW][C]0.15[/C][C]-18.452612304363[/C][C]1.33693442654408[/C][/ROW]
[ROW][C]0.16[/C][C]-18.0594441441858[/C][C]1.28954400843438[/C][/ROW]
[ROW][C]0.17[/C][C]-17.6900200982385[/C][C]1.24566165246037[/C][/ROW]
[ROW][C]0.18[/C][C]-17.3407840078824[/C][C]1.21089617135845[/C][/ROW]
[ROW][C]0.19[/C][C]-17.0075005999617[/C][C]1.1910797224453[/C][/ROW]
[ROW][C]0.2[/C][C]-16.6853541386284[/C][C]1.18932556267027[/C][/ROW]
[ROW][C]0.21[/C][C]-16.3694757249303[/C][C]1.2047991470295[/C][/ROW]
[ROW][C]0.22[/C][C]-16.055637188337[/C][C]1.23306966487502[/C][/ROW]
[ROW][C]0.23[/C][C]-15.7408419122656[/C][C]1.26776300822636[/C][/ROW]
[ROW][C]0.24[/C][C]-15.4236498092444[/C][C]1.30199405035815[/C][/ROW]
[ROW][C]0.25[/C][C]-15.1041998740947[/C][C]1.32959812086785[/C][/ROW]
[ROW][C]0.26[/C][C]-14.7839801922698[/C][C]1.3458253644188[/C][/ROW]
[ROW][C]0.27[/C][C]-14.4654299927062[/C][C]1.34770686513888[/C][/ROW]
[ROW][C]0.28[/C][C]-14.1514586425651[/C][C]1.33436287876133[/C][/ROW]
[ROW][C]0.29[/C][C]-13.8449546494347[/C][C]1.30700484423201[/C][/ROW]
[ROW][C]0.3[/C][C]-13.548346043322[/C][C]1.26869393022084[/C][/ROW]
[ROW][C]0.31[/C][C]-13.2632626950552[/C][C]1.22386185822705[/C][/ROW]
[ROW][C]0.32[/C][C]-12.9903369325744[/C][C]1.1776145036539[/C][/ROW]
[ROW][C]0.33[/C][C]-12.729158926388[/C][C]1.13500625588674[/C][/ROW]
[ROW][C]0.34[/C][C]-12.4783800169287[/C][C]1.10032769545865[/C][/ROW]
[ROW][C]0.35[/C][C]-12.235935645478[/C][C]1.07652719438273[/C][/ROW]
[ROW][C]0.36[/C][C]-11.9993446031714[/C][C]1.06493426280926[/C][/ROW]
[ROW][C]0.37[/C][C]-11.766035045471[/C][C]1.06515134359702[/C][/ROW]
[ROW][C]0.38[/C][C]-11.5336494606887[/C][C]1.07530514974026[/C][/ROW]
[ROW][C]0.39[/C][C]-11.300288400467[/C][C]1.09247596024117[/C][/ROW]
[ROW][C]0.4[/C][C]-11.0646641763283[/C][C]1.11322751375414[/C][/ROW]
[ROW][C]0.41[/C][C]-10.8261495450221[/C][C]1.13416004320694[/C][/ROW]
[ROW][C]0.42[/C][C]-10.5847218175642[/C][C]1.15250743939684[/C][/ROW]
[ROW][C]0.43[/C][C]-10.3408187791702[/C][C]1.16645823235386[/C][/ROW]
[ROW][C]0.44[/C][C]-10.095137350915[/C][C]1.17536269818608[/C][/ROW]
[ROW][C]0.45[/C][C]-9.84841612613161[/C][C]1.17977633538246[/C][/ROW]
[ROW][C]0.46[/C][C]-9.60124556897516[/C][C]1.1811620001725[/C][/ROW]
[ROW][C]0.47[/C][C]-9.35394263035923[/C][C]1.18145892131214[/C][/ROW]
[ROW][C]0.48[/C][C]-9.10651016222894[/C][C]1.18257517968946[/C][/ROW]
[ROW][C]0.49[/C][C]-8.85867935159837[/C][C]1.18579629746236[/C][/ROW]
[ROW][C]0.5[/C][C]-8.6100116551467[/C][C]1.19159409570976[/C][/ROW]
[ROW][C]0.51[/C][C]-8.36002232843261[/C][C]1.19957646730722[/C][/ROW]
[ROW][C]0.52[/C][C]-8.10828565404444[/C][C]1.20885631196486[/C][/ROW]
[ROW][C]0.53[/C][C]-7.85449332309267[/C][C]1.21844397440071[/C][/ROW]
[ROW][C]0.54[/C][C]-7.59845822027059[/C][C]1.22761175776441[/C][/ROW]
[ROW][C]0.55[/C][C]-7.34007855690811[/C][C]1.23615419115119[/C][/ROW]
[ROW][C]0.56[/C][C]-7.07929339340064[/C][C]1.24425639984385[/C][/ROW]
[ROW][C]0.57[/C][C]-6.81606382117507[/C][C]1.25223103590008[/C][/ROW]
[ROW][C]0.58[/C][C]-6.5504028106867[/C][C]1.26002522720358[/C][/ROW]
[ROW][C]0.59[/C][C]-6.28245478319932[/C][C]1.26697497673703[/C][/ROW]
[ROW][C]0.6[/C][C]-6.01260144048063[/C][C]1.27162101061293[/C][/ROW]
[ROW][C]0.61[/C][C]-5.74155299953955[/C][C]1.27192303873463[/C][/ROW]
[ROW][C]0.62[/C][C]-5.47038157686196[/C][C]1.26572750593871[/C][/ROW]
[ROW][C]0.63[/C][C]-5.20046888920604[/C][C]1.25138516261803[/C][/ROW]
[ROW][C]0.64[/C][C]-4.93336983487067[/C][C]1.22825712790697[/C][/ROW]
[ROW][C]0.65[/C][C]-4.67062697739185[/C][C]1.19696260527391[/C][/ROW]
[ROW][C]0.66[/C][C]-4.41359560205186[/C][C]1.15921677450022[/C][/ROW]
[ROW][C]0.67[/C][C]-4.16334375856611[/C][C]1.11722741205429[/C][/ROW]
[ROW][C]0.68[/C][C]-3.92067183901053[/C][C]1.07291355665791[/C][/ROW]
[ROW][C]0.69[/C][C]-3.686255989557[/C][C]1.02712160818883[/C][/ROW]
[ROW][C]0.7[/C][C]-3.46087135204291[/C][C]0.979227856982835[/C][/ROW]
[ROW][C]0.71[/C][C]-3.24561125472366[/C][C]0.927326182507003[/C][/ROW]
[ROW][C]0.72[/C][C]-3.04200207416766[/C][C]0.868958908513722[/C][/ROW]
[ROW][C]0.73[/C][C]-2.85192917540661[/C][C]0.802205132007316[/C][/ROW]
[ROW][C]0.74[/C][C]-2.67733645546198[/C][C]0.726779882081867[/C][/ROW]
[ROW][C]0.75[/C][C]-2.51973064974529[/C][C]0.644804952362918[/C][/ROW]
[ROW][C]0.76[/C][C]-2.37959476778636[/C][C]0.561051996899673[/C][/ROW]
[ROW][C]0.77[/C][C]-2.25587219647944[/C][C]0.482583074360491[/C][/ROW]
[ROW][C]0.78[/C][C]-2.14570335060956[/C][C]0.417859358492193[/C][/ROW]
[ROW][C]0.79[/C][C]-2.0445627437682[/C][C]0.375198353542665[/C][/ROW]
[ROW][C]0.8[/C][C]-1.94684649071948[/C][C]0.359920401113108[/C][/ROW]
[ROW][C]0.81[/C][C]-1.84680515154519[/C][C]0.37082870113182[/C][/ROW]
[ROW][C]0.82[/C][C]-1.73953894485897[/C][C]0.399789963848147[/C][/ROW]
[ROW][C]0.83[/C][C]-1.62164335495343[/C][C]0.435869048943026[/C][/ROW]
[ROW][C]0.84[/C][C]-1.49111459019251[/C][C]0.470534528170475[/C][/ROW]
[ROW][C]0.85[/C][C]-1.34638641950736[/C][C]0.501687273885335[/C][/ROW]
[ROW][C]0.86[/C][C]-1.1848721079743[/C][C]0.535581205131837[/C][/ROW]
[ROW][C]0.87[/C][C]-1.00194872423166[/C][C]0.584138962077054[/C][/ROW]
[ROW][C]0.88[/C][C]-0.791567513613477[/C][C]0.655375875546292[/C][/ROW]
[ROW][C]0.89[/C][C]-0.549163621417707[/C][C]0.741557862620284[/C][/ROW]
[ROW][C]0.9[/C][C]-0.276104227970182[/C][C]0.815986365365113[/C][/ROW]
[ROW][C]0.91[/C][C]0.0169407179972878[/C][C]0.843106574964078[/C][/ROW]
[ROW][C]0.92[/C][C]0.311292942959531[/C][C]0.797874921172695[/C][/ROW]
[ROW][C]0.93[/C][C]0.588279787763737[/C][C]0.685781458149443[/C][/ROW]
[ROW][C]0.94[/C][C]0.841190124346239[/C][C]0.552202244191814[/C][/ROW]
[ROW][C]0.95[/C][C]1.08190982975998[/C][C]0.469540960240688[/C][/ROW]
[ROW][C]0.96[/C][C]1.33062616682356[/C][C]0.470361433556473[/C][/ROW]
[ROW][C]0.97[/C][C]1.58793881925538[/C][C]0.468017206914908[/C][/ROW]
[ROW][C]0.98[/C][C]1.81439547119738[/C][C]0.348690516062909[/C][/ROW]
[ROW][C]0.99[/C][C]1.95500366487126[/C][C]0.136594319603221[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279049&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279049&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
0.01-24.87130953855580.320998720593288
0.02-24.59397286874580.50912422372016
0.03-24.26241302021560.519371268053815
0.04-23.93013854242640.613056913629235
0.05-23.5718725238090.862804875448859
0.06-23.14513148462031.15964366721914
0.07-22.63761653684871.40725905238664
0.08-22.06990401843891.56021981236027
0.09-21.47687301722251.61755150580037
0.1-20.89044666382021.60459564744522
0.11-20.33136940848031.55442468411592
0.12-19.80874451402281.49380278605845
0.13-19.32354050230821.43673115058271
0.14-18.87279360885971.38542502612129
0.15-18.4526123043631.33693442654408
0.16-18.05944414418581.28954400843438
0.17-17.69002009823851.24566165246037
0.18-17.34078400788241.21089617135845
0.19-17.00750059996171.1910797224453
0.2-16.68535413862841.18932556267027
0.21-16.36947572493031.2047991470295
0.22-16.0556371883371.23306966487502
0.23-15.74084191226561.26776300822636
0.24-15.42364980924441.30199405035815
0.25-15.10419987409471.32959812086785
0.26-14.78398019226981.3458253644188
0.27-14.46542999270621.34770686513888
0.28-14.15145864256511.33436287876133
0.29-13.84495464943471.30700484423201
0.3-13.5483460433221.26869393022084
0.31-13.26326269505521.22386185822705
0.32-12.99033693257441.1776145036539
0.33-12.7291589263881.13500625588674
0.34-12.47838001692871.10032769545865
0.35-12.2359356454781.07652719438273
0.36-11.99934460317141.06493426280926
0.37-11.7660350454711.06515134359702
0.38-11.53364946068871.07530514974026
0.39-11.3002884004671.09247596024117
0.4-11.06466417632831.11322751375414
0.41-10.82614954502211.13416004320694
0.42-10.58472181756421.15250743939684
0.43-10.34081877917021.16645823235386
0.44-10.0951373509151.17536269818608
0.45-9.848416126131611.17977633538246
0.46-9.601245568975161.1811620001725
0.47-9.353942630359231.18145892131214
0.48-9.106510162228941.18257517968946
0.49-8.858679351598371.18579629746236
0.5-8.61001165514671.19159409570976
0.51-8.360022328432611.19957646730722
0.52-8.108285654044441.20885631196486
0.53-7.854493323092671.21844397440071
0.54-7.598458220270591.22761175776441
0.55-7.340078556908111.23615419115119
0.56-7.079293393400641.24425639984385
0.57-6.816063821175071.25223103590008
0.58-6.55040281068671.26002522720358
0.59-6.282454783199321.26697497673703
0.6-6.012601440480631.27162101061293
0.61-5.741552999539551.27192303873463
0.62-5.470381576861961.26572750593871
0.63-5.200468889206041.25138516261803
0.64-4.933369834870671.22825712790697
0.65-4.670626977391851.19696260527391
0.66-4.413595602051861.15921677450022
0.67-4.163343758566111.11722741205429
0.68-3.920671839010531.07291355665791
0.69-3.6862559895571.02712160818883
0.7-3.460871352042910.979227856982835
0.71-3.245611254723660.927326182507003
0.72-3.042002074167660.868958908513722
0.73-2.851929175406610.802205132007316
0.74-2.677336455461980.726779882081867
0.75-2.519730649745290.644804952362918
0.76-2.379594767786360.561051996899673
0.77-2.255872196479440.482583074360491
0.78-2.145703350609560.417859358492193
0.79-2.04456274376820.375198353542665
0.8-1.946846490719480.359920401113108
0.81-1.846805151545190.37082870113182
0.82-1.739538944858970.399789963848147
0.83-1.621643354953430.435869048943026
0.84-1.491114590192510.470534528170475
0.85-1.346386419507360.501687273885335
0.86-1.18487210797430.535581205131837
0.87-1.001948724231660.584138962077054
0.88-0.7915675136134770.655375875546292
0.89-0.5491636214177070.741557862620284
0.9-0.2761042279701820.815986365365113
0.910.01694071799728780.843106574964078
0.920.3112929429595310.797874921172695
0.930.5882797877637370.685781458149443
0.940.8411901243462390.552202244191814
0.951.081909829759980.469540960240688
0.961.330626166823560.470361433556473
0.971.587938819255380.468017206914908
0.981.814395471197380.348690516062909
0.991.955003664871260.136594319603221


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')