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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 05 Oct 2014 12:01:53 +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/2014/Oct/05/t1412506981fi956i513dozba6.htm/, Retrieved Sun, 12 May 2024 08:48:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238702, Retrieved Sun, 12 May 2024 08:48:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Percentiel_EigenR...] [2014-10-05 11:01:53] [d0f5aeb11a4aa291a6c63b9267d14d48] [Current]
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Dataseries X:
39,66
40,05
39,99
40,06
40,08
40,1
40,1
40,12
40,07
40,24
40,58
40,72
40,72
40,89
40,9
41,04
41,27
41,29
41,29
41,33
41,34
41,37
41,33
41,37
41,37
41,42
41,61
41,58
41,75
41,75
41,75
41,85
41,84
41,97
42,01
42,04
42,04
42,06
41,93
41,93
41,99
42,03
42,03
42,12
42,22
42,21
42,23
42,22
42,22
42,25
42,27
42,16
42,24
42,26
42,26
42,26
42,36
42,33
42,23
42,23
40,9
40,9
40,87
40,69
40,92
41,05
41,36
41,79
41,82
41,8
41,87
41,87




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238702&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238702&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238702&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 time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0139.74725205726360.256561191853681
0.0239.85986659378240.168296976188712
0.0339.95113622171430.0987891634313679
0.0440.00985449008150.0581946875465671
0.0540.0449573108770.0420552448692421
0.0640.06844091932570.044664431312181
0.0740.08916112492040.0609832530555738
0.0840.11273359742140.0876909663820505
0.0940.14263923546540.1220630249384
0.140.1808683038250.160639600963508
0.1140.22809098201160.198814899356314
0.1240.28369598291160.231833514296018
0.1340.34594085598310.255521793207242
0.1440.41228878273910.267655779490816
0.1540.4798772225720.267935478798196
0.1640.54600158014290.258011017836832
0.1740.60850022188090.240857646862018
0.1840.66597351550610.219859853841589
0.1940.71782810051010.198323129731495
0.240.76418264878270.178832551127845
0.2140.80569131859140.163381126666011
0.2240.84333831949060.152950805164402
0.2340.87824170753180.147827558380888
0.2440.91148744786390.147568214581179
0.2540.94400244182460.150921910784673
0.2640.97646897276220.156515827757462
0.2741.00928078670260.162558612689628
0.2841.04253980435890.167668323005861
0.2941.07609027911270.170647777107826
0.341.10958375619470.170772317008653
0.3141.14256441946060.167771310664223
0.3241.1745617289060.161902719223737
0.3341.20517668967120.153874810583294
0.3441.23414991815860.144722760285526
0.3541.26140339248070.135538124204993
0.3641.28705244325960.127582947951392
0.3741.31138913488280.121831905525491
0.3841.33484192102940.11915976999021
0.3941.35791892603240.119814622317932
0.441.3811433574550.123697716361939
0.4141.40498957604080.130191671767976
0.4241.42982749427610.138350891364409
0.4341.45588147061060.147105837808134
0.4441.48320787765690.155395960864708
0.4541.51169318756190.162276905634579
0.4641.54107190942640.166952827300712
0.4741.57096128226410.168864042361575
0.4841.60090759102750.167866369161264
0.4941.63043765727660.163933548823361
0.541.65910869908540.157521772104382
0.5141.68655042729870.149078516471144
0.5241.71249481126470.13943104394525
0.5341.73679108825970.129236060416717
0.5441.75940588583340.119188714364196
0.5541.78041035895510.109863843098085
0.5641.79995770231850.101721271609887
0.5741.81825513562790.0950499306770956
0.5841.83553450118640.0897920217636594
0.5941.85202511366610.0858818364738213
0.641.86793167626370.0831425386524978
0.6141.88341912797240.0811979951164554
0.6241.89860535290550.0797832244972499
0.6341.91356182384620.0785174850893103
0.6441.92832146371040.0772408709507
0.6541.94289226001750.0757992895600185
0.6641.95727444819040.0741874093358799
0.6741.97147843524470.0724878601048507
0.6841.98554018322360.0709517269664995
0.6941.99953068602560.0697220929559527
0.742.01355664127080.0691664889177626
0.7142.02775057088970.0694322883783505
0.7242.0422504738790.0705074057680504
0.7342.05717139365960.0722389193689826
0.7442.0725736199380.0743480926058474
0.7542.08843402118770.0761877571392286
0.7642.10462758821080.0772231040748637
0.7742.12092520300460.0769553963196268
0.7842.13701085378870.0749377524299975
0.7942.15251743515680.0710317510991379
0.842.16707582969840.0653249850358776
0.8142.18036835869860.0582412896464074
0.8242.19217600212260.0502632397065243
0.8342.20240960876110.0421243436830964
0.8442.21111849816140.0344672912749595
0.8542.21847457911660.0278124137473154
0.8642.22473525937410.0226005977868165
0.8742.23019309282310.0189079253762151
0.8842.23512396118550.0165929858330765
0.8942.23974875112910.0152115451890585
0.942.24422591438930.0142899731330915
0.9142.24869253604060.013487710186572
0.9242.25336513777660.0128439230369324
0.9342.25868993253480.0129763730061679
0.9442.26548598340810.0151991951094927
0.9542.27495550146280.0206011554872196
0.9642.28837787553220.0285353907060459
0.9742.30633140748170.035991562855284
0.9842.32748751666510.0384413426646518
0.9942.34754506442240.0343435170936499

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 39.7472520572636 & 0.256561191853681 \tabularnewline
0.02 & 39.8598665937824 & 0.168296976188712 \tabularnewline
0.03 & 39.9511362217143 & 0.0987891634313679 \tabularnewline
0.04 & 40.0098544900815 & 0.0581946875465671 \tabularnewline
0.05 & 40.044957310877 & 0.0420552448692421 \tabularnewline
0.06 & 40.0684409193257 & 0.044664431312181 \tabularnewline
0.07 & 40.0891611249204 & 0.0609832530555738 \tabularnewline
0.08 & 40.1127335974214 & 0.0876909663820505 \tabularnewline
0.09 & 40.1426392354654 & 0.1220630249384 \tabularnewline
0.1 & 40.180868303825 & 0.160639600963508 \tabularnewline
0.11 & 40.2280909820116 & 0.198814899356314 \tabularnewline
0.12 & 40.2836959829116 & 0.231833514296018 \tabularnewline
0.13 & 40.3459408559831 & 0.255521793207242 \tabularnewline
0.14 & 40.4122887827391 & 0.267655779490816 \tabularnewline
0.15 & 40.479877222572 & 0.267935478798196 \tabularnewline
0.16 & 40.5460015801429 & 0.258011017836832 \tabularnewline
0.17 & 40.6085002218809 & 0.240857646862018 \tabularnewline
0.18 & 40.6659735155061 & 0.219859853841589 \tabularnewline
0.19 & 40.7178281005101 & 0.198323129731495 \tabularnewline
0.2 & 40.7641826487827 & 0.178832551127845 \tabularnewline
0.21 & 40.8056913185914 & 0.163381126666011 \tabularnewline
0.22 & 40.8433383194906 & 0.152950805164402 \tabularnewline
0.23 & 40.8782417075318 & 0.147827558380888 \tabularnewline
0.24 & 40.9114874478639 & 0.147568214581179 \tabularnewline
0.25 & 40.9440024418246 & 0.150921910784673 \tabularnewline
0.26 & 40.9764689727622 & 0.156515827757462 \tabularnewline
0.27 & 41.0092807867026 & 0.162558612689628 \tabularnewline
0.28 & 41.0425398043589 & 0.167668323005861 \tabularnewline
0.29 & 41.0760902791127 & 0.170647777107826 \tabularnewline
0.3 & 41.1095837561947 & 0.170772317008653 \tabularnewline
0.31 & 41.1425644194606 & 0.167771310664223 \tabularnewline
0.32 & 41.174561728906 & 0.161902719223737 \tabularnewline
0.33 & 41.2051766896712 & 0.153874810583294 \tabularnewline
0.34 & 41.2341499181586 & 0.144722760285526 \tabularnewline
0.35 & 41.2614033924807 & 0.135538124204993 \tabularnewline
0.36 & 41.2870524432596 & 0.127582947951392 \tabularnewline
0.37 & 41.3113891348828 & 0.121831905525491 \tabularnewline
0.38 & 41.3348419210294 & 0.11915976999021 \tabularnewline
0.39 & 41.3579189260324 & 0.119814622317932 \tabularnewline
0.4 & 41.381143357455 & 0.123697716361939 \tabularnewline
0.41 & 41.4049895760408 & 0.130191671767976 \tabularnewline
0.42 & 41.4298274942761 & 0.138350891364409 \tabularnewline
0.43 & 41.4558814706106 & 0.147105837808134 \tabularnewline
0.44 & 41.4832078776569 & 0.155395960864708 \tabularnewline
0.45 & 41.5116931875619 & 0.162276905634579 \tabularnewline
0.46 & 41.5410719094264 & 0.166952827300712 \tabularnewline
0.47 & 41.5709612822641 & 0.168864042361575 \tabularnewline
0.48 & 41.6009075910275 & 0.167866369161264 \tabularnewline
0.49 & 41.6304376572766 & 0.163933548823361 \tabularnewline
0.5 & 41.6591086990854 & 0.157521772104382 \tabularnewline
0.51 & 41.6865504272987 & 0.149078516471144 \tabularnewline
0.52 & 41.7124948112647 & 0.13943104394525 \tabularnewline
0.53 & 41.7367910882597 & 0.129236060416717 \tabularnewline
0.54 & 41.7594058858334 & 0.119188714364196 \tabularnewline
0.55 & 41.7804103589551 & 0.109863843098085 \tabularnewline
0.56 & 41.7999577023185 & 0.101721271609887 \tabularnewline
0.57 & 41.8182551356279 & 0.0950499306770956 \tabularnewline
0.58 & 41.8355345011864 & 0.0897920217636594 \tabularnewline
0.59 & 41.8520251136661 & 0.0858818364738213 \tabularnewline
0.6 & 41.8679316762637 & 0.0831425386524978 \tabularnewline
0.61 & 41.8834191279724 & 0.0811979951164554 \tabularnewline
0.62 & 41.8986053529055 & 0.0797832244972499 \tabularnewline
0.63 & 41.9135618238462 & 0.0785174850893103 \tabularnewline
0.64 & 41.9283214637104 & 0.0772408709507 \tabularnewline
0.65 & 41.9428922600175 & 0.0757992895600185 \tabularnewline
0.66 & 41.9572744481904 & 0.0741874093358799 \tabularnewline
0.67 & 41.9714784352447 & 0.0724878601048507 \tabularnewline
0.68 & 41.9855401832236 & 0.0709517269664995 \tabularnewline
0.69 & 41.9995306860256 & 0.0697220929559527 \tabularnewline
0.7 & 42.0135566412708 & 0.0691664889177626 \tabularnewline
0.71 & 42.0277505708897 & 0.0694322883783505 \tabularnewline
0.72 & 42.042250473879 & 0.0705074057680504 \tabularnewline
0.73 & 42.0571713936596 & 0.0722389193689826 \tabularnewline
0.74 & 42.072573619938 & 0.0743480926058474 \tabularnewline
0.75 & 42.0884340211877 & 0.0761877571392286 \tabularnewline
0.76 & 42.1046275882108 & 0.0772231040748637 \tabularnewline
0.77 & 42.1209252030046 & 0.0769553963196268 \tabularnewline
0.78 & 42.1370108537887 & 0.0749377524299975 \tabularnewline
0.79 & 42.1525174351568 & 0.0710317510991379 \tabularnewline
0.8 & 42.1670758296984 & 0.0653249850358776 \tabularnewline
0.81 & 42.1803683586986 & 0.0582412896464074 \tabularnewline
0.82 & 42.1921760021226 & 0.0502632397065243 \tabularnewline
0.83 & 42.2024096087611 & 0.0421243436830964 \tabularnewline
0.84 & 42.2111184981614 & 0.0344672912749595 \tabularnewline
0.85 & 42.2184745791166 & 0.0278124137473154 \tabularnewline
0.86 & 42.2247352593741 & 0.0226005977868165 \tabularnewline
0.87 & 42.2301930928231 & 0.0189079253762151 \tabularnewline
0.88 & 42.2351239611855 & 0.0165929858330765 \tabularnewline
0.89 & 42.2397487511291 & 0.0152115451890585 \tabularnewline
0.9 & 42.2442259143893 & 0.0142899731330915 \tabularnewline
0.91 & 42.2486925360406 & 0.013487710186572 \tabularnewline
0.92 & 42.2533651377766 & 0.0128439230369324 \tabularnewline
0.93 & 42.2586899325348 & 0.0129763730061679 \tabularnewline
0.94 & 42.2654859834081 & 0.0151991951094927 \tabularnewline
0.95 & 42.2749555014628 & 0.0206011554872196 \tabularnewline
0.96 & 42.2883778755322 & 0.0285353907060459 \tabularnewline
0.97 & 42.3063314074817 & 0.035991562855284 \tabularnewline
0.98 & 42.3274875166651 & 0.0384413426646518 \tabularnewline
0.99 & 42.3475450644224 & 0.0343435170936499 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238702&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]39.7472520572636[/C][C]0.256561191853681[/C][/ROW]
[ROW][C]0.02[/C][C]39.8598665937824[/C][C]0.168296976188712[/C][/ROW]
[ROW][C]0.03[/C][C]39.9511362217143[/C][C]0.0987891634313679[/C][/ROW]
[ROW][C]0.04[/C][C]40.0098544900815[/C][C]0.0581946875465671[/C][/ROW]
[ROW][C]0.05[/C][C]40.044957310877[/C][C]0.0420552448692421[/C][/ROW]
[ROW][C]0.06[/C][C]40.0684409193257[/C][C]0.044664431312181[/C][/ROW]
[ROW][C]0.07[/C][C]40.0891611249204[/C][C]0.0609832530555738[/C][/ROW]
[ROW][C]0.08[/C][C]40.1127335974214[/C][C]0.0876909663820505[/C][/ROW]
[ROW][C]0.09[/C][C]40.1426392354654[/C][C]0.1220630249384[/C][/ROW]
[ROW][C]0.1[/C][C]40.180868303825[/C][C]0.160639600963508[/C][/ROW]
[ROW][C]0.11[/C][C]40.2280909820116[/C][C]0.198814899356314[/C][/ROW]
[ROW][C]0.12[/C][C]40.2836959829116[/C][C]0.231833514296018[/C][/ROW]
[ROW][C]0.13[/C][C]40.3459408559831[/C][C]0.255521793207242[/C][/ROW]
[ROW][C]0.14[/C][C]40.4122887827391[/C][C]0.267655779490816[/C][/ROW]
[ROW][C]0.15[/C][C]40.479877222572[/C][C]0.267935478798196[/C][/ROW]
[ROW][C]0.16[/C][C]40.5460015801429[/C][C]0.258011017836832[/C][/ROW]
[ROW][C]0.17[/C][C]40.6085002218809[/C][C]0.240857646862018[/C][/ROW]
[ROW][C]0.18[/C][C]40.6659735155061[/C][C]0.219859853841589[/C][/ROW]
[ROW][C]0.19[/C][C]40.7178281005101[/C][C]0.198323129731495[/C][/ROW]
[ROW][C]0.2[/C][C]40.7641826487827[/C][C]0.178832551127845[/C][/ROW]
[ROW][C]0.21[/C][C]40.8056913185914[/C][C]0.163381126666011[/C][/ROW]
[ROW][C]0.22[/C][C]40.8433383194906[/C][C]0.152950805164402[/C][/ROW]
[ROW][C]0.23[/C][C]40.8782417075318[/C][C]0.147827558380888[/C][/ROW]
[ROW][C]0.24[/C][C]40.9114874478639[/C][C]0.147568214581179[/C][/ROW]
[ROW][C]0.25[/C][C]40.9440024418246[/C][C]0.150921910784673[/C][/ROW]
[ROW][C]0.26[/C][C]40.9764689727622[/C][C]0.156515827757462[/C][/ROW]
[ROW][C]0.27[/C][C]41.0092807867026[/C][C]0.162558612689628[/C][/ROW]
[ROW][C]0.28[/C][C]41.0425398043589[/C][C]0.167668323005861[/C][/ROW]
[ROW][C]0.29[/C][C]41.0760902791127[/C][C]0.170647777107826[/C][/ROW]
[ROW][C]0.3[/C][C]41.1095837561947[/C][C]0.170772317008653[/C][/ROW]
[ROW][C]0.31[/C][C]41.1425644194606[/C][C]0.167771310664223[/C][/ROW]
[ROW][C]0.32[/C][C]41.174561728906[/C][C]0.161902719223737[/C][/ROW]
[ROW][C]0.33[/C][C]41.2051766896712[/C][C]0.153874810583294[/C][/ROW]
[ROW][C]0.34[/C][C]41.2341499181586[/C][C]0.144722760285526[/C][/ROW]
[ROW][C]0.35[/C][C]41.2614033924807[/C][C]0.135538124204993[/C][/ROW]
[ROW][C]0.36[/C][C]41.2870524432596[/C][C]0.127582947951392[/C][/ROW]
[ROW][C]0.37[/C][C]41.3113891348828[/C][C]0.121831905525491[/C][/ROW]
[ROW][C]0.38[/C][C]41.3348419210294[/C][C]0.11915976999021[/C][/ROW]
[ROW][C]0.39[/C][C]41.3579189260324[/C][C]0.119814622317932[/C][/ROW]
[ROW][C]0.4[/C][C]41.381143357455[/C][C]0.123697716361939[/C][/ROW]
[ROW][C]0.41[/C][C]41.4049895760408[/C][C]0.130191671767976[/C][/ROW]
[ROW][C]0.42[/C][C]41.4298274942761[/C][C]0.138350891364409[/C][/ROW]
[ROW][C]0.43[/C][C]41.4558814706106[/C][C]0.147105837808134[/C][/ROW]
[ROW][C]0.44[/C][C]41.4832078776569[/C][C]0.155395960864708[/C][/ROW]
[ROW][C]0.45[/C][C]41.5116931875619[/C][C]0.162276905634579[/C][/ROW]
[ROW][C]0.46[/C][C]41.5410719094264[/C][C]0.166952827300712[/C][/ROW]
[ROW][C]0.47[/C][C]41.5709612822641[/C][C]0.168864042361575[/C][/ROW]
[ROW][C]0.48[/C][C]41.6009075910275[/C][C]0.167866369161264[/C][/ROW]
[ROW][C]0.49[/C][C]41.6304376572766[/C][C]0.163933548823361[/C][/ROW]
[ROW][C]0.5[/C][C]41.6591086990854[/C][C]0.157521772104382[/C][/ROW]
[ROW][C]0.51[/C][C]41.6865504272987[/C][C]0.149078516471144[/C][/ROW]
[ROW][C]0.52[/C][C]41.7124948112647[/C][C]0.13943104394525[/C][/ROW]
[ROW][C]0.53[/C][C]41.7367910882597[/C][C]0.129236060416717[/C][/ROW]
[ROW][C]0.54[/C][C]41.7594058858334[/C][C]0.119188714364196[/C][/ROW]
[ROW][C]0.55[/C][C]41.7804103589551[/C][C]0.109863843098085[/C][/ROW]
[ROW][C]0.56[/C][C]41.7999577023185[/C][C]0.101721271609887[/C][/ROW]
[ROW][C]0.57[/C][C]41.8182551356279[/C][C]0.0950499306770956[/C][/ROW]
[ROW][C]0.58[/C][C]41.8355345011864[/C][C]0.0897920217636594[/C][/ROW]
[ROW][C]0.59[/C][C]41.8520251136661[/C][C]0.0858818364738213[/C][/ROW]
[ROW][C]0.6[/C][C]41.8679316762637[/C][C]0.0831425386524978[/C][/ROW]
[ROW][C]0.61[/C][C]41.8834191279724[/C][C]0.0811979951164554[/C][/ROW]
[ROW][C]0.62[/C][C]41.8986053529055[/C][C]0.0797832244972499[/C][/ROW]
[ROW][C]0.63[/C][C]41.9135618238462[/C][C]0.0785174850893103[/C][/ROW]
[ROW][C]0.64[/C][C]41.9283214637104[/C][C]0.0772408709507[/C][/ROW]
[ROW][C]0.65[/C][C]41.9428922600175[/C][C]0.0757992895600185[/C][/ROW]
[ROW][C]0.66[/C][C]41.9572744481904[/C][C]0.0741874093358799[/C][/ROW]
[ROW][C]0.67[/C][C]41.9714784352447[/C][C]0.0724878601048507[/C][/ROW]
[ROW][C]0.68[/C][C]41.9855401832236[/C][C]0.0709517269664995[/C][/ROW]
[ROW][C]0.69[/C][C]41.9995306860256[/C][C]0.0697220929559527[/C][/ROW]
[ROW][C]0.7[/C][C]42.0135566412708[/C][C]0.0691664889177626[/C][/ROW]
[ROW][C]0.71[/C][C]42.0277505708897[/C][C]0.0694322883783505[/C][/ROW]
[ROW][C]0.72[/C][C]42.042250473879[/C][C]0.0705074057680504[/C][/ROW]
[ROW][C]0.73[/C][C]42.0571713936596[/C][C]0.0722389193689826[/C][/ROW]
[ROW][C]0.74[/C][C]42.072573619938[/C][C]0.0743480926058474[/C][/ROW]
[ROW][C]0.75[/C][C]42.0884340211877[/C][C]0.0761877571392286[/C][/ROW]
[ROW][C]0.76[/C][C]42.1046275882108[/C][C]0.0772231040748637[/C][/ROW]
[ROW][C]0.77[/C][C]42.1209252030046[/C][C]0.0769553963196268[/C][/ROW]
[ROW][C]0.78[/C][C]42.1370108537887[/C][C]0.0749377524299975[/C][/ROW]
[ROW][C]0.79[/C][C]42.1525174351568[/C][C]0.0710317510991379[/C][/ROW]
[ROW][C]0.8[/C][C]42.1670758296984[/C][C]0.0653249850358776[/C][/ROW]
[ROW][C]0.81[/C][C]42.1803683586986[/C][C]0.0582412896464074[/C][/ROW]
[ROW][C]0.82[/C][C]42.1921760021226[/C][C]0.0502632397065243[/C][/ROW]
[ROW][C]0.83[/C][C]42.2024096087611[/C][C]0.0421243436830964[/C][/ROW]
[ROW][C]0.84[/C][C]42.2111184981614[/C][C]0.0344672912749595[/C][/ROW]
[ROW][C]0.85[/C][C]42.2184745791166[/C][C]0.0278124137473154[/C][/ROW]
[ROW][C]0.86[/C][C]42.2247352593741[/C][C]0.0226005977868165[/C][/ROW]
[ROW][C]0.87[/C][C]42.2301930928231[/C][C]0.0189079253762151[/C][/ROW]
[ROW][C]0.88[/C][C]42.2351239611855[/C][C]0.0165929858330765[/C][/ROW]
[ROW][C]0.89[/C][C]42.2397487511291[/C][C]0.0152115451890585[/C][/ROW]
[ROW][C]0.9[/C][C]42.2442259143893[/C][C]0.0142899731330915[/C][/ROW]
[ROW][C]0.91[/C][C]42.2486925360406[/C][C]0.013487710186572[/C][/ROW]
[ROW][C]0.92[/C][C]42.2533651377766[/C][C]0.0128439230369324[/C][/ROW]
[ROW][C]0.93[/C][C]42.2586899325348[/C][C]0.0129763730061679[/C][/ROW]
[ROW][C]0.94[/C][C]42.2654859834081[/C][C]0.0151991951094927[/C][/ROW]
[ROW][C]0.95[/C][C]42.2749555014628[/C][C]0.0206011554872196[/C][/ROW]
[ROW][C]0.96[/C][C]42.2883778755322[/C][C]0.0285353907060459[/C][/ROW]
[ROW][C]0.97[/C][C]42.3063314074817[/C][C]0.035991562855284[/C][/ROW]
[ROW][C]0.98[/C][C]42.3274875166651[/C][C]0.0384413426646518[/C][/ROW]
[ROW][C]0.99[/C][C]42.3475450644224[/C][C]0.0343435170936499[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238702&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238702&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
0.0139.74725205726360.256561191853681
0.0239.85986659378240.168296976188712
0.0339.95113622171430.0987891634313679
0.0440.00985449008150.0581946875465671
0.0540.0449573108770.0420552448692421
0.0640.06844091932570.044664431312181
0.0740.08916112492040.0609832530555738
0.0840.11273359742140.0876909663820505
0.0940.14263923546540.1220630249384
0.140.1808683038250.160639600963508
0.1140.22809098201160.198814899356314
0.1240.28369598291160.231833514296018
0.1340.34594085598310.255521793207242
0.1440.41228878273910.267655779490816
0.1540.4798772225720.267935478798196
0.1640.54600158014290.258011017836832
0.1740.60850022188090.240857646862018
0.1840.66597351550610.219859853841589
0.1940.71782810051010.198323129731495
0.240.76418264878270.178832551127845
0.2140.80569131859140.163381126666011
0.2240.84333831949060.152950805164402
0.2340.87824170753180.147827558380888
0.2440.91148744786390.147568214581179
0.2540.94400244182460.150921910784673
0.2640.97646897276220.156515827757462
0.2741.00928078670260.162558612689628
0.2841.04253980435890.167668323005861
0.2941.07609027911270.170647777107826
0.341.10958375619470.170772317008653
0.3141.14256441946060.167771310664223
0.3241.1745617289060.161902719223737
0.3341.20517668967120.153874810583294
0.3441.23414991815860.144722760285526
0.3541.26140339248070.135538124204993
0.3641.28705244325960.127582947951392
0.3741.31138913488280.121831905525491
0.3841.33484192102940.11915976999021
0.3941.35791892603240.119814622317932
0.441.3811433574550.123697716361939
0.4141.40498957604080.130191671767976
0.4241.42982749427610.138350891364409
0.4341.45588147061060.147105837808134
0.4441.48320787765690.155395960864708
0.4541.51169318756190.162276905634579
0.4641.54107190942640.166952827300712
0.4741.57096128226410.168864042361575
0.4841.60090759102750.167866369161264
0.4941.63043765727660.163933548823361
0.541.65910869908540.157521772104382
0.5141.68655042729870.149078516471144
0.5241.71249481126470.13943104394525
0.5341.73679108825970.129236060416717
0.5441.75940588583340.119188714364196
0.5541.78041035895510.109863843098085
0.5641.79995770231850.101721271609887
0.5741.81825513562790.0950499306770956
0.5841.83553450118640.0897920217636594
0.5941.85202511366610.0858818364738213
0.641.86793167626370.0831425386524978
0.6141.88341912797240.0811979951164554
0.6241.89860535290550.0797832244972499
0.6341.91356182384620.0785174850893103
0.6441.92832146371040.0772408709507
0.6541.94289226001750.0757992895600185
0.6641.95727444819040.0741874093358799
0.6741.97147843524470.0724878601048507
0.6841.98554018322360.0709517269664995
0.6941.99953068602560.0697220929559527
0.742.01355664127080.0691664889177626
0.7142.02775057088970.0694322883783505
0.7242.0422504738790.0705074057680504
0.7342.05717139365960.0722389193689826
0.7442.0725736199380.0743480926058474
0.7542.08843402118770.0761877571392286
0.7642.10462758821080.0772231040748637
0.7742.12092520300460.0769553963196268
0.7842.13701085378870.0749377524299975
0.7942.15251743515680.0710317510991379
0.842.16707582969840.0653249850358776
0.8142.18036835869860.0582412896464074
0.8242.19217600212260.0502632397065243
0.8342.20240960876110.0421243436830964
0.8442.21111849816140.0344672912749595
0.8542.21847457911660.0278124137473154
0.8642.22473525937410.0226005977868165
0.8742.23019309282310.0189079253762151
0.8842.23512396118550.0165929858330765
0.8942.23974875112910.0152115451890585
0.942.24422591438930.0142899731330915
0.9142.24869253604060.013487710186572
0.9242.25336513777660.0128439230369324
0.9342.25868993253480.0129763730061679
0.9442.26548598340810.0151991951094927
0.9542.27495550146280.0206011554872196
0.9642.28837787553220.0285353907060459
0.9742.30633140748170.035991562855284
0.9842.32748751666510.0384413426646518
0.9942.34754506442240.0343435170936499



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')