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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 12 Oct 2011 09:41:43 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/12/t1318426995r4kgon5xz2a7txw.htm/, Retrieved Fri, 01 Nov 2024 00:30:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128354, Retrieved Fri, 01 Nov 2024 00:30:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact127
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [percentielen cons...] [2011-10-12 13:41:43] [280688e1dcdd2fd70f339c81d6605b50] [Current]
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Dataseries X:
92.9
93.3
93.6
93.6
94
94
94.2
93.3
93
93
94.7
95.6
95.8
96
95.4
95.3
94.4
94.4
94.3
93.9
94.5
93.6
93.9
93.9
93.7
94.6
94.4
94
91.1
91.1
90.7
90.8
89.8
90.7
90.3
89.7
89
88.4
89.3
89.3
89.3
89.3
88.4
89.4
91.3
90.9
91
89.3
88.1
89
90.1
90.6
90.6
90.2
89.5
90.5
90.4
89.7
90
90.2
89.3
89.6
89.8
89.4
89.3
89.4
89.5
89.2
90
88
88.3
89.1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'AstonUniversity' @ aston.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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128354&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128354&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128354&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 time2 seconds
R Server'AstonUniversity' @ aston.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0188.0448532719360.122829671816635
0.0288.1240114847310.162640628350391
0.0388.22240471786050.201931941310364
0.0488.33039432121320.241884207980434
0.0588.44409987678840.282543113195977
0.0688.56127700327750.314120459671087
0.0788.6785768772960.326427250558044
0.0888.79132253257020.316640311620699
0.0988.89477537879450.28898350544194
0.188.9854867180060.251406211106227
0.1189.0619199579990.211260096371981
0.1289.12429454625940.173359589531478
0.1389.17402195933070.140131824761279
0.1489.21311596441750.112511794475436
0.1589.24377247534170.0907998021004126
0.1689.26813667633020.0753784448389493
0.1789.28819263171510.066463436827188
0.1889.30570883252860.064048839791963
0.1989.32220402794720.0673732337319633
0.289.33892529134060.0750362920765315
0.2189.35684214149290.0858098266099437
0.2289.37665987431760.0987002772333651
0.2389.39884984177240.112760132176395
0.2489.42369004088180.127548424928194
0.2589.45130821438760.142604478648054
0.2689.48172125513690.157543991667626
0.2789.51486754141820.172180116315922
0.2889.55063150513330.186128280044717
0.2989.58886146275980.199589390110025
0.389.62938238879090.21209930521516
0.3189.67200518424130.223792485458081
0.3289.71653353389070.234456679909559
0.3389.76276901395950.244289012655785
0.3489.81051487332960.253051343367963
0.3589.85957885774390.260850811723568
0.3689.90977548600340.267690631579716
0.3789.96092824358690.273585069178587
0.3890.01287222255610.278579772767188
0.3990.06545785107140.28267194430621
0.490.1185565619740.28618067150902
0.4190.1720695237670.288873880572087
0.4290.22594078230060.291429471817868
0.4390.2801761489850.293832953490643
0.4490.33486872112130.296755642435787
0.4590.39023089361540.300869795894799
0.4690.44663110259270.307083401304228
0.4790.5046314672590.316718047593296
0.4890.56502025937330.33116677289426
0.4990.6288311591850.352134117085528
0.590.69734008281160.381254498047199
0.5190.7720305597130.419618343667633
0.5290.85452071131570.467919942440758
0.5390.94644913294980.525893191269246
0.5491.0493233133770.59210891582516
0.5591.16434197602330.664161646190091
0.5691.29221060145780.738674378437959
0.5791.43297559812980.811153212951345
0.5891.58590519173570.876726841025365
0.5991.74944256710150.930732896675075
0.691.92124856692340.96882399735294
0.6192.09833816958130.987792940864583
0.6292.2772993107950.985974756238401
0.6392.45456767435280.963545535772275
0.6492.626720348480.922208652322365
0.6592.79074743900860.865186720649263
0.6692.94426495593770.796860338553036
0.6793.08564366935650.721770507455407
0.6893.21404450821970.644650239550919
0.6993.3293677421820.569499854824853
0.793.43213688525960.499365879646152
0.7193.52334615009430.43643708872104
0.7293.60430109393180.381922065334828
0.7393.67647634066630.335943126280873
0.7493.74140399687350.298325675888672
0.7593.80059467128910.268589280448061
0.7693.85548321781870.246038091293722
0.7793.90738633600620.230039981369677
0.7893.95746065017620.21970557007782
0.7994.0066577090340.213853518168132
0.894.0556842633230.211066648223363
0.8194.10498808750670.209745223648412
0.8294.15479643903970.208399253090343
0.8394.2052313966260.206014998133352
0.8494.25651119575230.202704496916967
0.8594.30921967560370.199915779615193
0.8694.3645905564640.200498084389238
0.8794.42471602764920.208277158727667
0.8894.49256098451950.227111196343248
0.8994.57166373954210.258527817388867
0.994.66545827553320.300382258366472
0.9194.77628676817150.34609345049244
0.9294.90437489952770.385560024423638
0.9395.04723318017330.407828015371086
0.9495.19996452326190.404969587440286
0.9595.35664168830270.376517758125311
0.9695.51221632163620.330116207038893
0.9795.6633918204730.27785886261107
0.9895.8058860301110.231334564121342
0.9995.92677702613280.202892103466263

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 88.044853271936 & 0.122829671816635 \tabularnewline
0.02 & 88.124011484731 & 0.162640628350391 \tabularnewline
0.03 & 88.2224047178605 & 0.201931941310364 \tabularnewline
0.04 & 88.3303943212132 & 0.241884207980434 \tabularnewline
0.05 & 88.4440998767884 & 0.282543113195977 \tabularnewline
0.06 & 88.5612770032775 & 0.314120459671087 \tabularnewline
0.07 & 88.678576877296 & 0.326427250558044 \tabularnewline
0.08 & 88.7913225325702 & 0.316640311620699 \tabularnewline
0.09 & 88.8947753787945 & 0.28898350544194 \tabularnewline
0.1 & 88.985486718006 & 0.251406211106227 \tabularnewline
0.11 & 89.061919957999 & 0.211260096371981 \tabularnewline
0.12 & 89.1242945462594 & 0.173359589531478 \tabularnewline
0.13 & 89.1740219593307 & 0.140131824761279 \tabularnewline
0.14 & 89.2131159644175 & 0.112511794475436 \tabularnewline
0.15 & 89.2437724753417 & 0.0907998021004126 \tabularnewline
0.16 & 89.2681366763302 & 0.0753784448389493 \tabularnewline
0.17 & 89.2881926317151 & 0.066463436827188 \tabularnewline
0.18 & 89.3057088325286 & 0.064048839791963 \tabularnewline
0.19 & 89.3222040279472 & 0.0673732337319633 \tabularnewline
0.2 & 89.3389252913406 & 0.0750362920765315 \tabularnewline
0.21 & 89.3568421414929 & 0.0858098266099437 \tabularnewline
0.22 & 89.3766598743176 & 0.0987002772333651 \tabularnewline
0.23 & 89.3988498417724 & 0.112760132176395 \tabularnewline
0.24 & 89.4236900408818 & 0.127548424928194 \tabularnewline
0.25 & 89.4513082143876 & 0.142604478648054 \tabularnewline
0.26 & 89.4817212551369 & 0.157543991667626 \tabularnewline
0.27 & 89.5148675414182 & 0.172180116315922 \tabularnewline
0.28 & 89.5506315051333 & 0.186128280044717 \tabularnewline
0.29 & 89.5888614627598 & 0.199589390110025 \tabularnewline
0.3 & 89.6293823887909 & 0.21209930521516 \tabularnewline
0.31 & 89.6720051842413 & 0.223792485458081 \tabularnewline
0.32 & 89.7165335338907 & 0.234456679909559 \tabularnewline
0.33 & 89.7627690139595 & 0.244289012655785 \tabularnewline
0.34 & 89.8105148733296 & 0.253051343367963 \tabularnewline
0.35 & 89.8595788577439 & 0.260850811723568 \tabularnewline
0.36 & 89.9097754860034 & 0.267690631579716 \tabularnewline
0.37 & 89.9609282435869 & 0.273585069178587 \tabularnewline
0.38 & 90.0128722225561 & 0.278579772767188 \tabularnewline
0.39 & 90.0654578510714 & 0.28267194430621 \tabularnewline
0.4 & 90.118556561974 & 0.28618067150902 \tabularnewline
0.41 & 90.172069523767 & 0.288873880572087 \tabularnewline
0.42 & 90.2259407823006 & 0.291429471817868 \tabularnewline
0.43 & 90.280176148985 & 0.293832953490643 \tabularnewline
0.44 & 90.3348687211213 & 0.296755642435787 \tabularnewline
0.45 & 90.3902308936154 & 0.300869795894799 \tabularnewline
0.46 & 90.4466311025927 & 0.307083401304228 \tabularnewline
0.47 & 90.504631467259 & 0.316718047593296 \tabularnewline
0.48 & 90.5650202593733 & 0.33116677289426 \tabularnewline
0.49 & 90.628831159185 & 0.352134117085528 \tabularnewline
0.5 & 90.6973400828116 & 0.381254498047199 \tabularnewline
0.51 & 90.772030559713 & 0.419618343667633 \tabularnewline
0.52 & 90.8545207113157 & 0.467919942440758 \tabularnewline
0.53 & 90.9464491329498 & 0.525893191269246 \tabularnewline
0.54 & 91.049323313377 & 0.59210891582516 \tabularnewline
0.55 & 91.1643419760233 & 0.664161646190091 \tabularnewline
0.56 & 91.2922106014578 & 0.738674378437959 \tabularnewline
0.57 & 91.4329755981298 & 0.811153212951345 \tabularnewline
0.58 & 91.5859051917357 & 0.876726841025365 \tabularnewline
0.59 & 91.7494425671015 & 0.930732896675075 \tabularnewline
0.6 & 91.9212485669234 & 0.96882399735294 \tabularnewline
0.61 & 92.0983381695813 & 0.987792940864583 \tabularnewline
0.62 & 92.277299310795 & 0.985974756238401 \tabularnewline
0.63 & 92.4545676743528 & 0.963545535772275 \tabularnewline
0.64 & 92.62672034848 & 0.922208652322365 \tabularnewline
0.65 & 92.7907474390086 & 0.865186720649263 \tabularnewline
0.66 & 92.9442649559377 & 0.796860338553036 \tabularnewline
0.67 & 93.0856436693565 & 0.721770507455407 \tabularnewline
0.68 & 93.2140445082197 & 0.644650239550919 \tabularnewline
0.69 & 93.329367742182 & 0.569499854824853 \tabularnewline
0.7 & 93.4321368852596 & 0.499365879646152 \tabularnewline
0.71 & 93.5233461500943 & 0.43643708872104 \tabularnewline
0.72 & 93.6043010939318 & 0.381922065334828 \tabularnewline
0.73 & 93.6764763406663 & 0.335943126280873 \tabularnewline
0.74 & 93.7414039968735 & 0.298325675888672 \tabularnewline
0.75 & 93.8005946712891 & 0.268589280448061 \tabularnewline
0.76 & 93.8554832178187 & 0.246038091293722 \tabularnewline
0.77 & 93.9073863360062 & 0.230039981369677 \tabularnewline
0.78 & 93.9574606501762 & 0.21970557007782 \tabularnewline
0.79 & 94.006657709034 & 0.213853518168132 \tabularnewline
0.8 & 94.055684263323 & 0.211066648223363 \tabularnewline
0.81 & 94.1049880875067 & 0.209745223648412 \tabularnewline
0.82 & 94.1547964390397 & 0.208399253090343 \tabularnewline
0.83 & 94.205231396626 & 0.206014998133352 \tabularnewline
0.84 & 94.2565111957523 & 0.202704496916967 \tabularnewline
0.85 & 94.3092196756037 & 0.199915779615193 \tabularnewline
0.86 & 94.364590556464 & 0.200498084389238 \tabularnewline
0.87 & 94.4247160276492 & 0.208277158727667 \tabularnewline
0.88 & 94.4925609845195 & 0.227111196343248 \tabularnewline
0.89 & 94.5716637395421 & 0.258527817388867 \tabularnewline
0.9 & 94.6654582755332 & 0.300382258366472 \tabularnewline
0.91 & 94.7762867681715 & 0.34609345049244 \tabularnewline
0.92 & 94.9043748995277 & 0.385560024423638 \tabularnewline
0.93 & 95.0472331801733 & 0.407828015371086 \tabularnewline
0.94 & 95.1999645232619 & 0.404969587440286 \tabularnewline
0.95 & 95.3566416883027 & 0.376517758125311 \tabularnewline
0.96 & 95.5122163216362 & 0.330116207038893 \tabularnewline
0.97 & 95.663391820473 & 0.27785886261107 \tabularnewline
0.98 & 95.805886030111 & 0.231334564121342 \tabularnewline
0.99 & 95.9267770261328 & 0.202892103466263 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128354&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]88.044853271936[/C][C]0.122829671816635[/C][/ROW]
[ROW][C]0.02[/C][C]88.124011484731[/C][C]0.162640628350391[/C][/ROW]
[ROW][C]0.03[/C][C]88.2224047178605[/C][C]0.201931941310364[/C][/ROW]
[ROW][C]0.04[/C][C]88.3303943212132[/C][C]0.241884207980434[/C][/ROW]
[ROW][C]0.05[/C][C]88.4440998767884[/C][C]0.282543113195977[/C][/ROW]
[ROW][C]0.06[/C][C]88.5612770032775[/C][C]0.314120459671087[/C][/ROW]
[ROW][C]0.07[/C][C]88.678576877296[/C][C]0.326427250558044[/C][/ROW]
[ROW][C]0.08[/C][C]88.7913225325702[/C][C]0.316640311620699[/C][/ROW]
[ROW][C]0.09[/C][C]88.8947753787945[/C][C]0.28898350544194[/C][/ROW]
[ROW][C]0.1[/C][C]88.985486718006[/C][C]0.251406211106227[/C][/ROW]
[ROW][C]0.11[/C][C]89.061919957999[/C][C]0.211260096371981[/C][/ROW]
[ROW][C]0.12[/C][C]89.1242945462594[/C][C]0.173359589531478[/C][/ROW]
[ROW][C]0.13[/C][C]89.1740219593307[/C][C]0.140131824761279[/C][/ROW]
[ROW][C]0.14[/C][C]89.2131159644175[/C][C]0.112511794475436[/C][/ROW]
[ROW][C]0.15[/C][C]89.2437724753417[/C][C]0.0907998021004126[/C][/ROW]
[ROW][C]0.16[/C][C]89.2681366763302[/C][C]0.0753784448389493[/C][/ROW]
[ROW][C]0.17[/C][C]89.2881926317151[/C][C]0.066463436827188[/C][/ROW]
[ROW][C]0.18[/C][C]89.3057088325286[/C][C]0.064048839791963[/C][/ROW]
[ROW][C]0.19[/C][C]89.3222040279472[/C][C]0.0673732337319633[/C][/ROW]
[ROW][C]0.2[/C][C]89.3389252913406[/C][C]0.0750362920765315[/C][/ROW]
[ROW][C]0.21[/C][C]89.3568421414929[/C][C]0.0858098266099437[/C][/ROW]
[ROW][C]0.22[/C][C]89.3766598743176[/C][C]0.0987002772333651[/C][/ROW]
[ROW][C]0.23[/C][C]89.3988498417724[/C][C]0.112760132176395[/C][/ROW]
[ROW][C]0.24[/C][C]89.4236900408818[/C][C]0.127548424928194[/C][/ROW]
[ROW][C]0.25[/C][C]89.4513082143876[/C][C]0.142604478648054[/C][/ROW]
[ROW][C]0.26[/C][C]89.4817212551369[/C][C]0.157543991667626[/C][/ROW]
[ROW][C]0.27[/C][C]89.5148675414182[/C][C]0.172180116315922[/C][/ROW]
[ROW][C]0.28[/C][C]89.5506315051333[/C][C]0.186128280044717[/C][/ROW]
[ROW][C]0.29[/C][C]89.5888614627598[/C][C]0.199589390110025[/C][/ROW]
[ROW][C]0.3[/C][C]89.6293823887909[/C][C]0.21209930521516[/C][/ROW]
[ROW][C]0.31[/C][C]89.6720051842413[/C][C]0.223792485458081[/C][/ROW]
[ROW][C]0.32[/C][C]89.7165335338907[/C][C]0.234456679909559[/C][/ROW]
[ROW][C]0.33[/C][C]89.7627690139595[/C][C]0.244289012655785[/C][/ROW]
[ROW][C]0.34[/C][C]89.8105148733296[/C][C]0.253051343367963[/C][/ROW]
[ROW][C]0.35[/C][C]89.8595788577439[/C][C]0.260850811723568[/C][/ROW]
[ROW][C]0.36[/C][C]89.9097754860034[/C][C]0.267690631579716[/C][/ROW]
[ROW][C]0.37[/C][C]89.9609282435869[/C][C]0.273585069178587[/C][/ROW]
[ROW][C]0.38[/C][C]90.0128722225561[/C][C]0.278579772767188[/C][/ROW]
[ROW][C]0.39[/C][C]90.0654578510714[/C][C]0.28267194430621[/C][/ROW]
[ROW][C]0.4[/C][C]90.118556561974[/C][C]0.28618067150902[/C][/ROW]
[ROW][C]0.41[/C][C]90.172069523767[/C][C]0.288873880572087[/C][/ROW]
[ROW][C]0.42[/C][C]90.2259407823006[/C][C]0.291429471817868[/C][/ROW]
[ROW][C]0.43[/C][C]90.280176148985[/C][C]0.293832953490643[/C][/ROW]
[ROW][C]0.44[/C][C]90.3348687211213[/C][C]0.296755642435787[/C][/ROW]
[ROW][C]0.45[/C][C]90.3902308936154[/C][C]0.300869795894799[/C][/ROW]
[ROW][C]0.46[/C][C]90.4466311025927[/C][C]0.307083401304228[/C][/ROW]
[ROW][C]0.47[/C][C]90.504631467259[/C][C]0.316718047593296[/C][/ROW]
[ROW][C]0.48[/C][C]90.5650202593733[/C][C]0.33116677289426[/C][/ROW]
[ROW][C]0.49[/C][C]90.628831159185[/C][C]0.352134117085528[/C][/ROW]
[ROW][C]0.5[/C][C]90.6973400828116[/C][C]0.381254498047199[/C][/ROW]
[ROW][C]0.51[/C][C]90.772030559713[/C][C]0.419618343667633[/C][/ROW]
[ROW][C]0.52[/C][C]90.8545207113157[/C][C]0.467919942440758[/C][/ROW]
[ROW][C]0.53[/C][C]90.9464491329498[/C][C]0.525893191269246[/C][/ROW]
[ROW][C]0.54[/C][C]91.049323313377[/C][C]0.59210891582516[/C][/ROW]
[ROW][C]0.55[/C][C]91.1643419760233[/C][C]0.664161646190091[/C][/ROW]
[ROW][C]0.56[/C][C]91.2922106014578[/C][C]0.738674378437959[/C][/ROW]
[ROW][C]0.57[/C][C]91.4329755981298[/C][C]0.811153212951345[/C][/ROW]
[ROW][C]0.58[/C][C]91.5859051917357[/C][C]0.876726841025365[/C][/ROW]
[ROW][C]0.59[/C][C]91.7494425671015[/C][C]0.930732896675075[/C][/ROW]
[ROW][C]0.6[/C][C]91.9212485669234[/C][C]0.96882399735294[/C][/ROW]
[ROW][C]0.61[/C][C]92.0983381695813[/C][C]0.987792940864583[/C][/ROW]
[ROW][C]0.62[/C][C]92.277299310795[/C][C]0.985974756238401[/C][/ROW]
[ROW][C]0.63[/C][C]92.4545676743528[/C][C]0.963545535772275[/C][/ROW]
[ROW][C]0.64[/C][C]92.62672034848[/C][C]0.922208652322365[/C][/ROW]
[ROW][C]0.65[/C][C]92.7907474390086[/C][C]0.865186720649263[/C][/ROW]
[ROW][C]0.66[/C][C]92.9442649559377[/C][C]0.796860338553036[/C][/ROW]
[ROW][C]0.67[/C][C]93.0856436693565[/C][C]0.721770507455407[/C][/ROW]
[ROW][C]0.68[/C][C]93.2140445082197[/C][C]0.644650239550919[/C][/ROW]
[ROW][C]0.69[/C][C]93.329367742182[/C][C]0.569499854824853[/C][/ROW]
[ROW][C]0.7[/C][C]93.4321368852596[/C][C]0.499365879646152[/C][/ROW]
[ROW][C]0.71[/C][C]93.5233461500943[/C][C]0.43643708872104[/C][/ROW]
[ROW][C]0.72[/C][C]93.6043010939318[/C][C]0.381922065334828[/C][/ROW]
[ROW][C]0.73[/C][C]93.6764763406663[/C][C]0.335943126280873[/C][/ROW]
[ROW][C]0.74[/C][C]93.7414039968735[/C][C]0.298325675888672[/C][/ROW]
[ROW][C]0.75[/C][C]93.8005946712891[/C][C]0.268589280448061[/C][/ROW]
[ROW][C]0.76[/C][C]93.8554832178187[/C][C]0.246038091293722[/C][/ROW]
[ROW][C]0.77[/C][C]93.9073863360062[/C][C]0.230039981369677[/C][/ROW]
[ROW][C]0.78[/C][C]93.9574606501762[/C][C]0.21970557007782[/C][/ROW]
[ROW][C]0.79[/C][C]94.006657709034[/C][C]0.213853518168132[/C][/ROW]
[ROW][C]0.8[/C][C]94.055684263323[/C][C]0.211066648223363[/C][/ROW]
[ROW][C]0.81[/C][C]94.1049880875067[/C][C]0.209745223648412[/C][/ROW]
[ROW][C]0.82[/C][C]94.1547964390397[/C][C]0.208399253090343[/C][/ROW]
[ROW][C]0.83[/C][C]94.205231396626[/C][C]0.206014998133352[/C][/ROW]
[ROW][C]0.84[/C][C]94.2565111957523[/C][C]0.202704496916967[/C][/ROW]
[ROW][C]0.85[/C][C]94.3092196756037[/C][C]0.199915779615193[/C][/ROW]
[ROW][C]0.86[/C][C]94.364590556464[/C][C]0.200498084389238[/C][/ROW]
[ROW][C]0.87[/C][C]94.4247160276492[/C][C]0.208277158727667[/C][/ROW]
[ROW][C]0.88[/C][C]94.4925609845195[/C][C]0.227111196343248[/C][/ROW]
[ROW][C]0.89[/C][C]94.5716637395421[/C][C]0.258527817388867[/C][/ROW]
[ROW][C]0.9[/C][C]94.6654582755332[/C][C]0.300382258366472[/C][/ROW]
[ROW][C]0.91[/C][C]94.7762867681715[/C][C]0.34609345049244[/C][/ROW]
[ROW][C]0.92[/C][C]94.9043748995277[/C][C]0.385560024423638[/C][/ROW]
[ROW][C]0.93[/C][C]95.0472331801733[/C][C]0.407828015371086[/C][/ROW]
[ROW][C]0.94[/C][C]95.1999645232619[/C][C]0.404969587440286[/C][/ROW]
[ROW][C]0.95[/C][C]95.3566416883027[/C][C]0.376517758125311[/C][/ROW]
[ROW][C]0.96[/C][C]95.5122163216362[/C][C]0.330116207038893[/C][/ROW]
[ROW][C]0.97[/C][C]95.663391820473[/C][C]0.27785886261107[/C][/ROW]
[ROW][C]0.98[/C][C]95.805886030111[/C][C]0.231334564121342[/C][/ROW]
[ROW][C]0.99[/C][C]95.9267770261328[/C][C]0.202892103466263[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128354&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128354&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
0.0188.0448532719360.122829671816635
0.0288.1240114847310.162640628350391
0.0388.22240471786050.201931941310364
0.0488.33039432121320.241884207980434
0.0588.44409987678840.282543113195977
0.0688.56127700327750.314120459671087
0.0788.6785768772960.326427250558044
0.0888.79132253257020.316640311620699
0.0988.89477537879450.28898350544194
0.188.9854867180060.251406211106227
0.1189.0619199579990.211260096371981
0.1289.12429454625940.173359589531478
0.1389.17402195933070.140131824761279
0.1489.21311596441750.112511794475436
0.1589.24377247534170.0907998021004126
0.1689.26813667633020.0753784448389493
0.1789.28819263171510.066463436827188
0.1889.30570883252860.064048839791963
0.1989.32220402794720.0673732337319633
0.289.33892529134060.0750362920765315
0.2189.35684214149290.0858098266099437
0.2289.37665987431760.0987002772333651
0.2389.39884984177240.112760132176395
0.2489.42369004088180.127548424928194
0.2589.45130821438760.142604478648054
0.2689.48172125513690.157543991667626
0.2789.51486754141820.172180116315922
0.2889.55063150513330.186128280044717
0.2989.58886146275980.199589390110025
0.389.62938238879090.21209930521516
0.3189.67200518424130.223792485458081
0.3289.71653353389070.234456679909559
0.3389.76276901395950.244289012655785
0.3489.81051487332960.253051343367963
0.3589.85957885774390.260850811723568
0.3689.90977548600340.267690631579716
0.3789.96092824358690.273585069178587
0.3890.01287222255610.278579772767188
0.3990.06545785107140.28267194430621
0.490.1185565619740.28618067150902
0.4190.1720695237670.288873880572087
0.4290.22594078230060.291429471817868
0.4390.2801761489850.293832953490643
0.4490.33486872112130.296755642435787
0.4590.39023089361540.300869795894799
0.4690.44663110259270.307083401304228
0.4790.5046314672590.316718047593296
0.4890.56502025937330.33116677289426
0.4990.6288311591850.352134117085528
0.590.69734008281160.381254498047199
0.5190.7720305597130.419618343667633
0.5290.85452071131570.467919942440758
0.5390.94644913294980.525893191269246
0.5491.0493233133770.59210891582516
0.5591.16434197602330.664161646190091
0.5691.29221060145780.738674378437959
0.5791.43297559812980.811153212951345
0.5891.58590519173570.876726841025365
0.5991.74944256710150.930732896675075
0.691.92124856692340.96882399735294
0.6192.09833816958130.987792940864583
0.6292.2772993107950.985974756238401
0.6392.45456767435280.963545535772275
0.6492.626720348480.922208652322365
0.6592.79074743900860.865186720649263
0.6692.94426495593770.796860338553036
0.6793.08564366935650.721770507455407
0.6893.21404450821970.644650239550919
0.6993.3293677421820.569499854824853
0.793.43213688525960.499365879646152
0.7193.52334615009430.43643708872104
0.7293.60430109393180.381922065334828
0.7393.67647634066630.335943126280873
0.7493.74140399687350.298325675888672
0.7593.80059467128910.268589280448061
0.7693.85548321781870.246038091293722
0.7793.90738633600620.230039981369677
0.7893.95746065017620.21970557007782
0.7994.0066577090340.213853518168132
0.894.0556842633230.211066648223363
0.8194.10498808750670.209745223648412
0.8294.15479643903970.208399253090343
0.8394.2052313966260.206014998133352
0.8494.25651119575230.202704496916967
0.8594.30921967560370.199915779615193
0.8694.3645905564640.200498084389238
0.8794.42471602764920.208277158727667
0.8894.49256098451950.227111196343248
0.8994.57166373954210.258527817388867
0.994.66545827553320.300382258366472
0.9194.77628676817150.34609345049244
0.9294.90437489952770.385560024423638
0.9395.04723318017330.407828015371086
0.9495.19996452326190.404969587440286
0.9595.35664168830270.376517758125311
0.9695.51221632163620.330116207038893
0.9795.6633918204730.27785886261107
0.9895.8058860301110.231334564121342
0.9995.92677702613280.202892103466263



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')