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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, 03 Oct 2013 06:12:08 -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/2013/Oct/03/t1380795244399tdydd0bsp98k.htm/, Retrieved Sun, 19 Apr 2026 21:46:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212819, Retrieved Sun, 19 Apr 2026 21:46:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact329

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] [] [2013-10-03 10:12:08] [20efb5145ec2a2ddd8dcd418764211fa] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
19.4
19.4
19.4
19.5
19.5
19.5
28.7
28.7
28.7
21.8
21.8
21.8
20
20
20
22.6
22.6
22.6
22.4
22.4
22.4
18.6
18.6
18.6
16.2
16.2
16.2
13.8
13.8
13.8
24.1
24.1
24.1
19.9
19.9
19.9
22.3
22.3
22.3
20.9
20.9
20.9
23.5
23.5
23.5
23.1
23.1
23.1
25.7
25.7
25.7
19.7
19.7
19.7
23.1
23.1
23.1
20.7
20.7
20.7
18
18
18
16.9
16.9
16.9
24.4
24.4
24.4
15.5
15.5
15.5
18.4
18.4
18.4
16.2
16.2
16.2
20.6
20.6
20.6
19.8
19.8
19.8

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212819&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]3 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=212819&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212819&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 time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0113.85938151281960.190991676021998
0.0214.04233361793360.515520178714887
0.0314.35394033268380.763024019042092
0.0414.73359043412760.818481903260192
0.0515.10525887557410.727570636769578
0.0615.42127645046450.592464324952126
0.0715.67021886690990.478175886719119
0.0815.86255535716940.399759598750461
0.0916.01553348837770.354775765353447
0.116.14575806948790.345266710551409
0.1116.26735956278520.373859795837951
0.1216.39174423781930.43426973016372
0.1316.52713173329790.512856257221352
0.1416.67798581706870.594752782719404
0.1516.84490126163330.667033641787476
0.1617.0251758994750.720389064158711
0.1717.2139068525830.749856754538403
0.1817.40528262177130.754917138827857
0.1917.59376522661140.738905430008767
0.217.77495972197250.707869756082057
0.2117.94607956536140.669160196052644
0.2218.10600940329770.629792833651995
0.2318.25503764946940.595203535831997
0.2418.39437819892580.568186370382634
0.2518.52562020970.548684827880218
0.2618.65023515914960.53435689651136
0.2718.76923516300050.521679064638255
0.2818.88302601380590.50717801190131
0.2918.99144626047930.48827837586705
0.319.09394282089870.463839804225586
0.3119.18981245863250.434136867353283
0.3219.27843887215060.400611385955277
0.3319.35947289081530.365337426229977
0.3419.43293006635910.330585156494455
0.3519.49920655898150.298438831184145
0.3619.55903337804090.270508675210187
0.3719.61339726338440.247877231289909
0.3819.66345434942710.231244849527121
0.3919.71045377198670.220878890081509
0.419.75567727392470.217005060007173
0.4119.80039182012750.219525046472763
0.4219.84580777281370.228165384886858
0.4319.89303583721090.242381528032798
0.4419.94304059312360.261182740582524
0.4519.99659474387240.283284821645507
0.4620.05424367858420.307280239778297
0.4720.11629235011080.331681550553305
0.4820.18282451823960.355240561596904
0.4920.25375806620670.377165425761879
0.520.32893071085580.397267803041868
0.5120.40820047402270.416108582875093
0.5220.49153779439210.43478296755202
0.5320.57908386935220.454661991070618
0.5420.67115428556280.47702595347759
0.5520.76817798063790.502533199610121
0.5620.87057688572360.530859270366878
0.5720.97860754135460.560561057758957
0.5821.0921983180860.589157906953648
0.5921.21082100112150.613691752473954
0.621.3334314974990.631106335770524
0.6121.45850168101690.638820223837533
0.6221.58414556518450.635295294368029
0.6321.70832236639150.620254896055892
0.6421.82908139637170.594808421828531
0.6521.94480325072420.561324756303687
0.6622.0543909587140.52310710114384
0.6722.15737401575120.483796103106138
0.6822.25390579304990.446900371406284
0.6922.34465725208790.415120082112415
0.722.43063264707940.389963904955485
0.7122.51295107479210.371479617255088
0.7222.59264683054120.358441618919546
0.7322.67053834257750.348911680945197
0.7422.74719907110980.340949441893451
0.7522.82303648699830.333386131754806
0.7622.89845300871280.326153386315555
0.7722.97403436045990.320518995973788
0.7823.05069575194660.318582055001164
0.7923.12972177997120.322526990042613
0.823.21266402538990.333613839841025
0.8123.30110642815290.351424152650281
0.8223.39636235310260.373641554505081
0.8323.49921486865240.396731530591694
0.8423.60983741358380.417019986207955
0.8523.72801879739130.432015347923627
0.8623.85374807282520.441960262464057
0.8723.98808595198140.450931574087598
0.8824.13409289877780.467103276247174
0.8924.29750619061210.500636517320641
0.924.48702736753310.558894145269993
0.9124.7145567007660.643009664394831
0.9224.99605872472490.752093287787666
0.9325.35277695891210.894165284713013
0.9425.80918466565431.08547823564311
0.9526.38035558365251.30957428000817
0.9627.04506574768191.45797110726368
0.9727.71977190832221.35229419011314
0.9828.27165887511750.911524850363331
0.9928.59511106284070.337345903678484

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 13.8593815128196 & 0.190991676021998 \tabularnewline
0.02 & 14.0423336179336 & 0.515520178714887 \tabularnewline
0.03 & 14.3539403326838 & 0.763024019042092 \tabularnewline
0.04 & 14.7335904341276 & 0.818481903260192 \tabularnewline
0.05 & 15.1052588755741 & 0.727570636769578 \tabularnewline
0.06 & 15.4212764504645 & 0.592464324952126 \tabularnewline
0.07 & 15.6702188669099 & 0.478175886719119 \tabularnewline
0.08 & 15.8625553571694 & 0.399759598750461 \tabularnewline
0.09 & 16.0155334883777 & 0.354775765353447 \tabularnewline
0.1 & 16.1457580694879 & 0.345266710551409 \tabularnewline
0.11 & 16.2673595627852 & 0.373859795837951 \tabularnewline
0.12 & 16.3917442378193 & 0.43426973016372 \tabularnewline
0.13 & 16.5271317332979 & 0.512856257221352 \tabularnewline
0.14 & 16.6779858170687 & 0.594752782719404 \tabularnewline
0.15 & 16.8449012616333 & 0.667033641787476 \tabularnewline
0.16 & 17.025175899475 & 0.720389064158711 \tabularnewline
0.17 & 17.213906852583 & 0.749856754538403 \tabularnewline
0.18 & 17.4052826217713 & 0.754917138827857 \tabularnewline
0.19 & 17.5937652266114 & 0.738905430008767 \tabularnewline
0.2 & 17.7749597219725 & 0.707869756082057 \tabularnewline
0.21 & 17.9460795653614 & 0.669160196052644 \tabularnewline
0.22 & 18.1060094032977 & 0.629792833651995 \tabularnewline
0.23 & 18.2550376494694 & 0.595203535831997 \tabularnewline
0.24 & 18.3943781989258 & 0.568186370382634 \tabularnewline
0.25 & 18.5256202097 & 0.548684827880218 \tabularnewline
0.26 & 18.6502351591496 & 0.53435689651136 \tabularnewline
0.27 & 18.7692351630005 & 0.521679064638255 \tabularnewline
0.28 & 18.8830260138059 & 0.50717801190131 \tabularnewline
0.29 & 18.9914462604793 & 0.48827837586705 \tabularnewline
0.3 & 19.0939428208987 & 0.463839804225586 \tabularnewline
0.31 & 19.1898124586325 & 0.434136867353283 \tabularnewline
0.32 & 19.2784388721506 & 0.400611385955277 \tabularnewline
0.33 & 19.3594728908153 & 0.365337426229977 \tabularnewline
0.34 & 19.4329300663591 & 0.330585156494455 \tabularnewline
0.35 & 19.4992065589815 & 0.298438831184145 \tabularnewline
0.36 & 19.5590333780409 & 0.270508675210187 \tabularnewline
0.37 & 19.6133972633844 & 0.247877231289909 \tabularnewline
0.38 & 19.6634543494271 & 0.231244849527121 \tabularnewline
0.39 & 19.7104537719867 & 0.220878890081509 \tabularnewline
0.4 & 19.7556772739247 & 0.217005060007173 \tabularnewline
0.41 & 19.8003918201275 & 0.219525046472763 \tabularnewline
0.42 & 19.8458077728137 & 0.228165384886858 \tabularnewline
0.43 & 19.8930358372109 & 0.242381528032798 \tabularnewline
0.44 & 19.9430405931236 & 0.261182740582524 \tabularnewline
0.45 & 19.9965947438724 & 0.283284821645507 \tabularnewline
0.46 & 20.0542436785842 & 0.307280239778297 \tabularnewline
0.47 & 20.1162923501108 & 0.331681550553305 \tabularnewline
0.48 & 20.1828245182396 & 0.355240561596904 \tabularnewline
0.49 & 20.2537580662067 & 0.377165425761879 \tabularnewline
0.5 & 20.3289307108558 & 0.397267803041868 \tabularnewline
0.51 & 20.4082004740227 & 0.416108582875093 \tabularnewline
0.52 & 20.4915377943921 & 0.43478296755202 \tabularnewline
0.53 & 20.5790838693522 & 0.454661991070618 \tabularnewline
0.54 & 20.6711542855628 & 0.47702595347759 \tabularnewline
0.55 & 20.7681779806379 & 0.502533199610121 \tabularnewline
0.56 & 20.8705768857236 & 0.530859270366878 \tabularnewline
0.57 & 20.9786075413546 & 0.560561057758957 \tabularnewline
0.58 & 21.092198318086 & 0.589157906953648 \tabularnewline
0.59 & 21.2108210011215 & 0.613691752473954 \tabularnewline
0.6 & 21.333431497499 & 0.631106335770524 \tabularnewline
0.61 & 21.4585016810169 & 0.638820223837533 \tabularnewline
0.62 & 21.5841455651845 & 0.635295294368029 \tabularnewline
0.63 & 21.7083223663915 & 0.620254896055892 \tabularnewline
0.64 & 21.8290813963717 & 0.594808421828531 \tabularnewline
0.65 & 21.9448032507242 & 0.561324756303687 \tabularnewline
0.66 & 22.054390958714 & 0.52310710114384 \tabularnewline
0.67 & 22.1573740157512 & 0.483796103106138 \tabularnewline
0.68 & 22.2539057930499 & 0.446900371406284 \tabularnewline
0.69 & 22.3446572520879 & 0.415120082112415 \tabularnewline
0.7 & 22.4306326470794 & 0.389963904955485 \tabularnewline
0.71 & 22.5129510747921 & 0.371479617255088 \tabularnewline
0.72 & 22.5926468305412 & 0.358441618919546 \tabularnewline
0.73 & 22.6705383425775 & 0.348911680945197 \tabularnewline
0.74 & 22.7471990711098 & 0.340949441893451 \tabularnewline
0.75 & 22.8230364869983 & 0.333386131754806 \tabularnewline
0.76 & 22.8984530087128 & 0.326153386315555 \tabularnewline
0.77 & 22.9740343604599 & 0.320518995973788 \tabularnewline
0.78 & 23.0506957519466 & 0.318582055001164 \tabularnewline
0.79 & 23.1297217799712 & 0.322526990042613 \tabularnewline
0.8 & 23.2126640253899 & 0.333613839841025 \tabularnewline
0.81 & 23.3011064281529 & 0.351424152650281 \tabularnewline
0.82 & 23.3963623531026 & 0.373641554505081 \tabularnewline
0.83 & 23.4992148686524 & 0.396731530591694 \tabularnewline
0.84 & 23.6098374135838 & 0.417019986207955 \tabularnewline
0.85 & 23.7280187973913 & 0.432015347923627 \tabularnewline
0.86 & 23.8537480728252 & 0.441960262464057 \tabularnewline
0.87 & 23.9880859519814 & 0.450931574087598 \tabularnewline
0.88 & 24.1340928987778 & 0.467103276247174 \tabularnewline
0.89 & 24.2975061906121 & 0.500636517320641 \tabularnewline
0.9 & 24.4870273675331 & 0.558894145269993 \tabularnewline
0.91 & 24.714556700766 & 0.643009664394831 \tabularnewline
0.92 & 24.9960587247249 & 0.752093287787666 \tabularnewline
0.93 & 25.3527769589121 & 0.894165284713013 \tabularnewline
0.94 & 25.8091846656543 & 1.08547823564311 \tabularnewline
0.95 & 26.3803555836525 & 1.30957428000817 \tabularnewline
0.96 & 27.0450657476819 & 1.45797110726368 \tabularnewline
0.97 & 27.7197719083222 & 1.35229419011314 \tabularnewline
0.98 & 28.2716588751175 & 0.911524850363331 \tabularnewline
0.99 & 28.5951110628407 & 0.337345903678484 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212819&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]13.8593815128196[/C][C]0.190991676021998[/C][/ROW]
[ROW][C]0.02[/C][C]14.0423336179336[/C][C]0.515520178714887[/C][/ROW]
[ROW][C]0.03[/C][C]14.3539403326838[/C][C]0.763024019042092[/C][/ROW]
[ROW][C]0.04[/C][C]14.7335904341276[/C][C]0.818481903260192[/C][/ROW]
[ROW][C]0.05[/C][C]15.1052588755741[/C][C]0.727570636769578[/C][/ROW]
[ROW][C]0.06[/C][C]15.4212764504645[/C][C]0.592464324952126[/C][/ROW]
[ROW][C]0.07[/C][C]15.6702188669099[/C][C]0.478175886719119[/C][/ROW]
[ROW][C]0.08[/C][C]15.8625553571694[/C][C]0.399759598750461[/C][/ROW]
[ROW][C]0.09[/C][C]16.0155334883777[/C][C]0.354775765353447[/C][/ROW]
[ROW][C]0.1[/C][C]16.1457580694879[/C][C]0.345266710551409[/C][/ROW]
[ROW][C]0.11[/C][C]16.2673595627852[/C][C]0.373859795837951[/C][/ROW]
[ROW][C]0.12[/C][C]16.3917442378193[/C][C]0.43426973016372[/C][/ROW]
[ROW][C]0.13[/C][C]16.5271317332979[/C][C]0.512856257221352[/C][/ROW]
[ROW][C]0.14[/C][C]16.6779858170687[/C][C]0.594752782719404[/C][/ROW]
[ROW][C]0.15[/C][C]16.8449012616333[/C][C]0.667033641787476[/C][/ROW]
[ROW][C]0.16[/C][C]17.025175899475[/C][C]0.720389064158711[/C][/ROW]
[ROW][C]0.17[/C][C]17.213906852583[/C][C]0.749856754538403[/C][/ROW]
[ROW][C]0.18[/C][C]17.4052826217713[/C][C]0.754917138827857[/C][/ROW]
[ROW][C]0.19[/C][C]17.5937652266114[/C][C]0.738905430008767[/C][/ROW]
[ROW][C]0.2[/C][C]17.7749597219725[/C][C]0.707869756082057[/C][/ROW]
[ROW][C]0.21[/C][C]17.9460795653614[/C][C]0.669160196052644[/C][/ROW]
[ROW][C]0.22[/C][C]18.1060094032977[/C][C]0.629792833651995[/C][/ROW]
[ROW][C]0.23[/C][C]18.2550376494694[/C][C]0.595203535831997[/C][/ROW]
[ROW][C]0.24[/C][C]18.3943781989258[/C][C]0.568186370382634[/C][/ROW]
[ROW][C]0.25[/C][C]18.5256202097[/C][C]0.548684827880218[/C][/ROW]
[ROW][C]0.26[/C][C]18.6502351591496[/C][C]0.53435689651136[/C][/ROW]
[ROW][C]0.27[/C][C]18.7692351630005[/C][C]0.521679064638255[/C][/ROW]
[ROW][C]0.28[/C][C]18.8830260138059[/C][C]0.50717801190131[/C][/ROW]
[ROW][C]0.29[/C][C]18.9914462604793[/C][C]0.48827837586705[/C][/ROW]
[ROW][C]0.3[/C][C]19.0939428208987[/C][C]0.463839804225586[/C][/ROW]
[ROW][C]0.31[/C][C]19.1898124586325[/C][C]0.434136867353283[/C][/ROW]
[ROW][C]0.32[/C][C]19.2784388721506[/C][C]0.400611385955277[/C][/ROW]
[ROW][C]0.33[/C][C]19.3594728908153[/C][C]0.365337426229977[/C][/ROW]
[ROW][C]0.34[/C][C]19.4329300663591[/C][C]0.330585156494455[/C][/ROW]
[ROW][C]0.35[/C][C]19.4992065589815[/C][C]0.298438831184145[/C][/ROW]
[ROW][C]0.36[/C][C]19.5590333780409[/C][C]0.270508675210187[/C][/ROW]
[ROW][C]0.37[/C][C]19.6133972633844[/C][C]0.247877231289909[/C][/ROW]
[ROW][C]0.38[/C][C]19.6634543494271[/C][C]0.231244849527121[/C][/ROW]
[ROW][C]0.39[/C][C]19.7104537719867[/C][C]0.220878890081509[/C][/ROW]
[ROW][C]0.4[/C][C]19.7556772739247[/C][C]0.217005060007173[/C][/ROW]
[ROW][C]0.41[/C][C]19.8003918201275[/C][C]0.219525046472763[/C][/ROW]
[ROW][C]0.42[/C][C]19.8458077728137[/C][C]0.228165384886858[/C][/ROW]
[ROW][C]0.43[/C][C]19.8930358372109[/C][C]0.242381528032798[/C][/ROW]
[ROW][C]0.44[/C][C]19.9430405931236[/C][C]0.261182740582524[/C][/ROW]
[ROW][C]0.45[/C][C]19.9965947438724[/C][C]0.283284821645507[/C][/ROW]
[ROW][C]0.46[/C][C]20.0542436785842[/C][C]0.307280239778297[/C][/ROW]
[ROW][C]0.47[/C][C]20.1162923501108[/C][C]0.331681550553305[/C][/ROW]
[ROW][C]0.48[/C][C]20.1828245182396[/C][C]0.355240561596904[/C][/ROW]
[ROW][C]0.49[/C][C]20.2537580662067[/C][C]0.377165425761879[/C][/ROW]
[ROW][C]0.5[/C][C]20.3289307108558[/C][C]0.397267803041868[/C][/ROW]
[ROW][C]0.51[/C][C]20.4082004740227[/C][C]0.416108582875093[/C][/ROW]
[ROW][C]0.52[/C][C]20.4915377943921[/C][C]0.43478296755202[/C][/ROW]
[ROW][C]0.53[/C][C]20.5790838693522[/C][C]0.454661991070618[/C][/ROW]
[ROW][C]0.54[/C][C]20.6711542855628[/C][C]0.47702595347759[/C][/ROW]
[ROW][C]0.55[/C][C]20.7681779806379[/C][C]0.502533199610121[/C][/ROW]
[ROW][C]0.56[/C][C]20.8705768857236[/C][C]0.530859270366878[/C][/ROW]
[ROW][C]0.57[/C][C]20.9786075413546[/C][C]0.560561057758957[/C][/ROW]
[ROW][C]0.58[/C][C]21.092198318086[/C][C]0.589157906953648[/C][/ROW]
[ROW][C]0.59[/C][C]21.2108210011215[/C][C]0.613691752473954[/C][/ROW]
[ROW][C]0.6[/C][C]21.333431497499[/C][C]0.631106335770524[/C][/ROW]
[ROW][C]0.61[/C][C]21.4585016810169[/C][C]0.638820223837533[/C][/ROW]
[ROW][C]0.62[/C][C]21.5841455651845[/C][C]0.635295294368029[/C][/ROW]
[ROW][C]0.63[/C][C]21.7083223663915[/C][C]0.620254896055892[/C][/ROW]
[ROW][C]0.64[/C][C]21.8290813963717[/C][C]0.594808421828531[/C][/ROW]
[ROW][C]0.65[/C][C]21.9448032507242[/C][C]0.561324756303687[/C][/ROW]
[ROW][C]0.66[/C][C]22.054390958714[/C][C]0.52310710114384[/C][/ROW]
[ROW][C]0.67[/C][C]22.1573740157512[/C][C]0.483796103106138[/C][/ROW]
[ROW][C]0.68[/C][C]22.2539057930499[/C][C]0.446900371406284[/C][/ROW]
[ROW][C]0.69[/C][C]22.3446572520879[/C][C]0.415120082112415[/C][/ROW]
[ROW][C]0.7[/C][C]22.4306326470794[/C][C]0.389963904955485[/C][/ROW]
[ROW][C]0.71[/C][C]22.5129510747921[/C][C]0.371479617255088[/C][/ROW]
[ROW][C]0.72[/C][C]22.5926468305412[/C][C]0.358441618919546[/C][/ROW]
[ROW][C]0.73[/C][C]22.6705383425775[/C][C]0.348911680945197[/C][/ROW]
[ROW][C]0.74[/C][C]22.7471990711098[/C][C]0.340949441893451[/C][/ROW]
[ROW][C]0.75[/C][C]22.8230364869983[/C][C]0.333386131754806[/C][/ROW]
[ROW][C]0.76[/C][C]22.8984530087128[/C][C]0.326153386315555[/C][/ROW]
[ROW][C]0.77[/C][C]22.9740343604599[/C][C]0.320518995973788[/C][/ROW]
[ROW][C]0.78[/C][C]23.0506957519466[/C][C]0.318582055001164[/C][/ROW]
[ROW][C]0.79[/C][C]23.1297217799712[/C][C]0.322526990042613[/C][/ROW]
[ROW][C]0.8[/C][C]23.2126640253899[/C][C]0.333613839841025[/C][/ROW]
[ROW][C]0.81[/C][C]23.3011064281529[/C][C]0.351424152650281[/C][/ROW]
[ROW][C]0.82[/C][C]23.3963623531026[/C][C]0.373641554505081[/C][/ROW]
[ROW][C]0.83[/C][C]23.4992148686524[/C][C]0.396731530591694[/C][/ROW]
[ROW][C]0.84[/C][C]23.6098374135838[/C][C]0.417019986207955[/C][/ROW]
[ROW][C]0.85[/C][C]23.7280187973913[/C][C]0.432015347923627[/C][/ROW]
[ROW][C]0.86[/C][C]23.8537480728252[/C][C]0.441960262464057[/C][/ROW]
[ROW][C]0.87[/C][C]23.9880859519814[/C][C]0.450931574087598[/C][/ROW]
[ROW][C]0.88[/C][C]24.1340928987778[/C][C]0.467103276247174[/C][/ROW]
[ROW][C]0.89[/C][C]24.2975061906121[/C][C]0.500636517320641[/C][/ROW]
[ROW][C]0.9[/C][C]24.4870273675331[/C][C]0.558894145269993[/C][/ROW]
[ROW][C]0.91[/C][C]24.714556700766[/C][C]0.643009664394831[/C][/ROW]
[ROW][C]0.92[/C][C]24.9960587247249[/C][C]0.752093287787666[/C][/ROW]
[ROW][C]0.93[/C][C]25.3527769589121[/C][C]0.894165284713013[/C][/ROW]
[ROW][C]0.94[/C][C]25.8091846656543[/C][C]1.08547823564311[/C][/ROW]
[ROW][C]0.95[/C][C]26.3803555836525[/C][C]1.30957428000817[/C][/ROW]
[ROW][C]0.96[/C][C]27.0450657476819[/C][C]1.45797110726368[/C][/ROW]
[ROW][C]0.97[/C][C]27.7197719083222[/C][C]1.35229419011314[/C][/ROW]
[ROW][C]0.98[/C][C]28.2716588751175[/C][C]0.911524850363331[/C][/ROW]
[ROW][C]0.99[/C][C]28.5951110628407[/C][C]0.337345903678484[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212819&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212819&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
0.0113.85938151281960.190991676021998
0.0214.04233361793360.515520178714887
0.0314.35394033268380.763024019042092
0.0414.73359043412760.818481903260192
0.0515.10525887557410.727570636769578
0.0615.42127645046450.592464324952126
0.0715.67021886690990.478175886719119
0.0815.86255535716940.399759598750461
0.0916.01553348837770.354775765353447
0.116.14575806948790.345266710551409
0.1116.26735956278520.373859795837951
0.1216.39174423781930.43426973016372
0.1316.52713173329790.512856257221352
0.1416.67798581706870.594752782719404
0.1516.84490126163330.667033641787476
0.1617.0251758994750.720389064158711
0.1717.2139068525830.749856754538403
0.1817.40528262177130.754917138827857
0.1917.59376522661140.738905430008767
0.217.77495972197250.707869756082057
0.2117.94607956536140.669160196052644
0.2218.10600940329770.629792833651995
0.2318.25503764946940.595203535831997
0.2418.39437819892580.568186370382634
0.2518.52562020970.548684827880218
0.2618.65023515914960.53435689651136
0.2718.76923516300050.521679064638255
0.2818.88302601380590.50717801190131
0.2918.99144626047930.48827837586705
0.319.09394282089870.463839804225586
0.3119.18981245863250.434136867353283
0.3219.27843887215060.400611385955277
0.3319.35947289081530.365337426229977
0.3419.43293006635910.330585156494455
0.3519.49920655898150.298438831184145
0.3619.55903337804090.270508675210187
0.3719.61339726338440.247877231289909
0.3819.66345434942710.231244849527121
0.3919.71045377198670.220878890081509
0.419.75567727392470.217005060007173
0.4119.80039182012750.219525046472763
0.4219.84580777281370.228165384886858
0.4319.89303583721090.242381528032798
0.4419.94304059312360.261182740582524
0.4519.99659474387240.283284821645507
0.4620.05424367858420.307280239778297
0.4720.11629235011080.331681550553305
0.4820.18282451823960.355240561596904
0.4920.25375806620670.377165425761879
0.520.32893071085580.397267803041868
0.5120.40820047402270.416108582875093
0.5220.49153779439210.43478296755202
0.5320.57908386935220.454661991070618
0.5420.67115428556280.47702595347759
0.5520.76817798063790.502533199610121
0.5620.87057688572360.530859270366878
0.5720.97860754135460.560561057758957
0.5821.0921983180860.589157906953648
0.5921.21082100112150.613691752473954
0.621.3334314974990.631106335770524
0.6121.45850168101690.638820223837533
0.6221.58414556518450.635295294368029
0.6321.70832236639150.620254896055892
0.6421.82908139637170.594808421828531
0.6521.94480325072420.561324756303687
0.6622.0543909587140.52310710114384
0.6722.15737401575120.483796103106138
0.6822.25390579304990.446900371406284
0.6922.34465725208790.415120082112415
0.722.43063264707940.389963904955485
0.7122.51295107479210.371479617255088
0.7222.59264683054120.358441618919546
0.7322.67053834257750.348911680945197
0.7422.74719907110980.340949441893451
0.7522.82303648699830.333386131754806
0.7622.89845300871280.326153386315555
0.7722.97403436045990.320518995973788
0.7823.05069575194660.318582055001164
0.7923.12972177997120.322526990042613
0.823.21266402538990.333613839841025
0.8123.30110642815290.351424152650281
0.8223.39636235310260.373641554505081
0.8323.49921486865240.396731530591694
0.8423.60983741358380.417019986207955
0.8523.72801879739130.432015347923627
0.8623.85374807282520.441960262464057
0.8723.98808595198140.450931574087598
0.8824.13409289877780.467103276247174
0.8924.29750619061210.500636517320641
0.924.48702736753310.558894145269993
0.9124.7145567007660.643009664394831
0.9224.99605872472490.752093287787666
0.9325.35277695891210.894165284713013
0.9425.80918466565431.08547823564311
0.9526.38035558365251.30957428000817
0.9627.04506574768191.45797110726368
0.9727.71977190832221.35229419011314
0.9828.27165887511750.911524850363331
0.9928.59511106284070.337345903678484


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')