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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 computationTue, 11 Oct 2011 10:07:52 -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/11/t1318342281wgqqpm0mde6sgd4.htm/, Retrieved Sat, 11 May 2024 15:04:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128049, Retrieved Sat, 11 May 2024 15:04:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact87

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] [Gemiddelde consum...] [2011-10-11 14:07:52] [bd8cebb9d7961275d2f6ed94788b7e5f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
20.98
20.1
20.61
20.27
20.08
23.58
22.31
22.89
21.78
22.19
22.58
22.78
25.06
25.16
25.47
25.34
24.2
25.32
25.57
25.76
24.79
23.14
22.66
22.06
24.26
23.15
22.92
21.43
21.56
23.48
24.35
24.83
24.19
23.58
23.58
24.35
27.18
25.69
24.81
23.26
23.49
26.86
27.12
27.66
26.26
25.51
24.63
23.57
27.63
25.85
26.09
24.47
24.19
25.09
25.26
25.58
24.76
25.02
24.24
24.14
28.69
26.74
26.48
24.45
23.88
26.58
26.23
28.63
26.81
26.56
26.64
26.8
28.37
27.13
28.44
28.62
27.28
31.32
31.26
31.41
31.76
32.72
32.15
33.62
35.97
33.78
33.77
32.75
32.55
33.22
32.88
31.56
30.27
28.65
27.89
27.07
30.8
28.38
27.5
28
28.02
29.2
27.59
27.22
27.16
26.31
25.67
26.41
28.34
25.43
23.72
23.33
23.8
27.7
26.28
27.51
27.93
28.76
28.65
29.52
31.23
27.9
27.87
27.52
27.59
31.2
30.22
30.62
31.52
30.59
31.42
31.95

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=128049&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=128049&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128049&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
0.0120.17426401425970.194140731772073
0.0220.42895702530410.417941630514395
0.0320.78978530607310.542799445490896
0.0421.17059163792970.564061777100915
0.0521.51840569872020.535935342188877
0.0621.81907018771680.500894936644194
0.0722.07776775489670.47019648856866
0.0822.30301128430290.441385133180118
0.0922.50112255211640.412833505287165
0.122.67649138759030.385563790061604
0.1122.83268835277080.361083728039712
0.1222.97281465178260.339550345916678
0.1323.09939228282450.319890261623155
0.1423.21437897149760.301448843629217
0.1523.31950411215660.28529154668635
0.1623.41671436133370.273896472256883
0.1723.50838128606670.269837938114572
0.1823.59708108610240.273655208666103
0.1923.68504733544130.283122959285322
0.223.77361358845540.293857438927399
0.2123.86297299188130.301652348854867
0.2223.9523961080610.304267726082253
0.2324.04079322667240.302036533710715
0.2424.12733833562650.297613684883813
0.2524.21187278132490.294454007937614
0.2624.29495067119070.295175165941111
0.2724.37757350091090.300446413098016
0.2824.4607859161050.309326062605833
0.2924.54532197866080.319639077554881
0.324.63142205710110.329176315698407
0.3124.71884136654220.33630344537401
0.3224.80699565144550.340270957870845
0.3324.8951621648080.341032929952302
0.3424.98266856271620.339273192808947
0.3525.06903512182070.335856710016255
0.3625.15406370056960.332253102923004
0.3725.23787865365880.329619842426215
0.3825.32092247273450.329363195139424
0.3925.40390234415060.332504375616656
0.425.48768342954830.339580655541333
0.4125.5731350438230.350233706910551
0.4225.6609537356110.363314810536723
0.4325.75150351068690.376911198660004
0.4425.84471813006310.388995720933031
0.4525.94009810675350.397667992589439
0.4626.03680811788860.401747633152787
0.4726.13384882848970.400994402048178
0.4826.23025343164710.396151295569654
0.4926.32525332621420.388524812531091
0.526.41837130491450.37957923466331
0.5126.50942792194860.370555248144943
0.5226.59847575157140.362299653760358
0.5326.68569588707050.35503174929716
0.5426.77129531810280.348534598866595
0.5526.85543387327140.342414019780994
0.5626.93819194464460.336249745103876
0.5727.01957391304470.329775490935741
0.5827.09953365821310.322863570298763
0.5927.17800946873750.315616760859751
0.627.25496256084620.308097203787636
0.6127.33041992384060.300681167807257
0.6227.40452302633960.293762542076985
0.6327.47757800281670.288164525256112
0.6427.55009407985380.284769522993515
0.6527.62279139248430.284512866520623
0.6627.6965620088470.288051322005895
0.6727.77238052121920.295439037321754
0.6827.85118116455240.306212570100191
0.6927.93374278840020.319353423755594
0.728.02064402579580.333677526423248
0.7128.11235724694630.348509450011343
0.7228.20952620193990.364588138568492
0.7328.31340661843990.384663849173176
0.7428.42634599423450.413636679070522
0.7528.55207266428030.457387909055636
0.7628.69551851630260.520034236561095
0.7728.86198205002060.600877071024393
0.7829.05567227859180.692594972879261
0.7929.27799332694040.781854949795418
0.829.52617924704910.852256429377128
0.8129.79289784713220.88898882195233
0.8230.06714622151930.883146772734632
0.8330.33627949633450.834478861293022
0.8430.58860223714270.751288381302951
0.8530.81582225184930.648185371091154
0.8631.01482860329660.542837573656498
0.8731.18851686326270.453050308514244
0.8831.34552548970450.394414091948979
0.8931.49871675328680.376640940543032
0.931.66222668805880.397517194900956
0.9131.84731013364340.44036323408216
0.9232.05838000680240.479925004982003
0.9332.2921892351770.494675142252067
0.9432.54275866914220.482378581378869
0.9532.80920571815790.464978444845635
0.9633.09680346883050.457165942073824
0.9733.4194412093510.431738595323796
0.9833.8857100624530.474342778486647
0.9934.83022442289881.13377728275861

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 20.1742640142597 & 0.194140731772073 \tabularnewline
0.02 & 20.4289570253041 & 0.417941630514395 \tabularnewline
0.03 & 20.7897853060731 & 0.542799445490896 \tabularnewline
0.04 & 21.1705916379297 & 0.564061777100915 \tabularnewline
0.05 & 21.5184056987202 & 0.535935342188877 \tabularnewline
0.06 & 21.8190701877168 & 0.500894936644194 \tabularnewline
0.07 & 22.0777677548967 & 0.47019648856866 \tabularnewline
0.08 & 22.3030112843029 & 0.441385133180118 \tabularnewline
0.09 & 22.5011225521164 & 0.412833505287165 \tabularnewline
0.1 & 22.6764913875903 & 0.385563790061604 \tabularnewline
0.11 & 22.8326883527708 & 0.361083728039712 \tabularnewline
0.12 & 22.9728146517826 & 0.339550345916678 \tabularnewline
0.13 & 23.0993922828245 & 0.319890261623155 \tabularnewline
0.14 & 23.2143789714976 & 0.301448843629217 \tabularnewline
0.15 & 23.3195041121566 & 0.28529154668635 \tabularnewline
0.16 & 23.4167143613337 & 0.273896472256883 \tabularnewline
0.17 & 23.5083812860667 & 0.269837938114572 \tabularnewline
0.18 & 23.5970810861024 & 0.273655208666103 \tabularnewline
0.19 & 23.6850473354413 & 0.283122959285322 \tabularnewline
0.2 & 23.7736135884554 & 0.293857438927399 \tabularnewline
0.21 & 23.8629729918813 & 0.301652348854867 \tabularnewline
0.22 & 23.952396108061 & 0.304267726082253 \tabularnewline
0.23 & 24.0407932266724 & 0.302036533710715 \tabularnewline
0.24 & 24.1273383356265 & 0.297613684883813 \tabularnewline
0.25 & 24.2118727813249 & 0.294454007937614 \tabularnewline
0.26 & 24.2949506711907 & 0.295175165941111 \tabularnewline
0.27 & 24.3775735009109 & 0.300446413098016 \tabularnewline
0.28 & 24.460785916105 & 0.309326062605833 \tabularnewline
0.29 & 24.5453219786608 & 0.319639077554881 \tabularnewline
0.3 & 24.6314220571011 & 0.329176315698407 \tabularnewline
0.31 & 24.7188413665422 & 0.33630344537401 \tabularnewline
0.32 & 24.8069956514455 & 0.340270957870845 \tabularnewline
0.33 & 24.895162164808 & 0.341032929952302 \tabularnewline
0.34 & 24.9826685627162 & 0.339273192808947 \tabularnewline
0.35 & 25.0690351218207 & 0.335856710016255 \tabularnewline
0.36 & 25.1540637005696 & 0.332253102923004 \tabularnewline
0.37 & 25.2378786536588 & 0.329619842426215 \tabularnewline
0.38 & 25.3209224727345 & 0.329363195139424 \tabularnewline
0.39 & 25.4039023441506 & 0.332504375616656 \tabularnewline
0.4 & 25.4876834295483 & 0.339580655541333 \tabularnewline
0.41 & 25.573135043823 & 0.350233706910551 \tabularnewline
0.42 & 25.660953735611 & 0.363314810536723 \tabularnewline
0.43 & 25.7515035106869 & 0.376911198660004 \tabularnewline
0.44 & 25.8447181300631 & 0.388995720933031 \tabularnewline
0.45 & 25.9400981067535 & 0.397667992589439 \tabularnewline
0.46 & 26.0368081178886 & 0.401747633152787 \tabularnewline
0.47 & 26.1338488284897 & 0.400994402048178 \tabularnewline
0.48 & 26.2302534316471 & 0.396151295569654 \tabularnewline
0.49 & 26.3252533262142 & 0.388524812531091 \tabularnewline
0.5 & 26.4183713049145 & 0.37957923466331 \tabularnewline
0.51 & 26.5094279219486 & 0.370555248144943 \tabularnewline
0.52 & 26.5984757515714 & 0.362299653760358 \tabularnewline
0.53 & 26.6856958870705 & 0.35503174929716 \tabularnewline
0.54 & 26.7712953181028 & 0.348534598866595 \tabularnewline
0.55 & 26.8554338732714 & 0.342414019780994 \tabularnewline
0.56 & 26.9381919446446 & 0.336249745103876 \tabularnewline
0.57 & 27.0195739130447 & 0.329775490935741 \tabularnewline
0.58 & 27.0995336582131 & 0.322863570298763 \tabularnewline
0.59 & 27.1780094687375 & 0.315616760859751 \tabularnewline
0.6 & 27.2549625608462 & 0.308097203787636 \tabularnewline
0.61 & 27.3304199238406 & 0.300681167807257 \tabularnewline
0.62 & 27.4045230263396 & 0.293762542076985 \tabularnewline
0.63 & 27.4775780028167 & 0.288164525256112 \tabularnewline
0.64 & 27.5500940798538 & 0.284769522993515 \tabularnewline
0.65 & 27.6227913924843 & 0.284512866520623 \tabularnewline
0.66 & 27.696562008847 & 0.288051322005895 \tabularnewline
0.67 & 27.7723805212192 & 0.295439037321754 \tabularnewline
0.68 & 27.8511811645524 & 0.306212570100191 \tabularnewline
0.69 & 27.9337427884002 & 0.319353423755594 \tabularnewline
0.7 & 28.0206440257958 & 0.333677526423248 \tabularnewline
0.71 & 28.1123572469463 & 0.348509450011343 \tabularnewline
0.72 & 28.2095262019399 & 0.364588138568492 \tabularnewline
0.73 & 28.3134066184399 & 0.384663849173176 \tabularnewline
0.74 & 28.4263459942345 & 0.413636679070522 \tabularnewline
0.75 & 28.5520726642803 & 0.457387909055636 \tabularnewline
0.76 & 28.6955185163026 & 0.520034236561095 \tabularnewline
0.77 & 28.8619820500206 & 0.600877071024393 \tabularnewline
0.78 & 29.0556722785918 & 0.692594972879261 \tabularnewline
0.79 & 29.2779933269404 & 0.781854949795418 \tabularnewline
0.8 & 29.5261792470491 & 0.852256429377128 \tabularnewline
0.81 & 29.7928978471322 & 0.88898882195233 \tabularnewline
0.82 & 30.0671462215193 & 0.883146772734632 \tabularnewline
0.83 & 30.3362794963345 & 0.834478861293022 \tabularnewline
0.84 & 30.5886022371427 & 0.751288381302951 \tabularnewline
0.85 & 30.8158222518493 & 0.648185371091154 \tabularnewline
0.86 & 31.0148286032966 & 0.542837573656498 \tabularnewline
0.87 & 31.1885168632627 & 0.453050308514244 \tabularnewline
0.88 & 31.3455254897045 & 0.394414091948979 \tabularnewline
0.89 & 31.4987167532868 & 0.376640940543032 \tabularnewline
0.9 & 31.6622266880588 & 0.397517194900956 \tabularnewline
0.91 & 31.8473101336434 & 0.44036323408216 \tabularnewline
0.92 & 32.0583800068024 & 0.479925004982003 \tabularnewline
0.93 & 32.292189235177 & 0.494675142252067 \tabularnewline
0.94 & 32.5427586691422 & 0.482378581378869 \tabularnewline
0.95 & 32.8092057181579 & 0.464978444845635 \tabularnewline
0.96 & 33.0968034688305 & 0.457165942073824 \tabularnewline
0.97 & 33.419441209351 & 0.431738595323796 \tabularnewline
0.98 & 33.885710062453 & 0.474342778486647 \tabularnewline
0.99 & 34.8302244228988 & 1.13377728275861 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128049&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]20.1742640142597[/C][C]0.194140731772073[/C][/ROW]
[ROW][C]0.02[/C][C]20.4289570253041[/C][C]0.417941630514395[/C][/ROW]
[ROW][C]0.03[/C][C]20.7897853060731[/C][C]0.542799445490896[/C][/ROW]
[ROW][C]0.04[/C][C]21.1705916379297[/C][C]0.564061777100915[/C][/ROW]
[ROW][C]0.05[/C][C]21.5184056987202[/C][C]0.535935342188877[/C][/ROW]
[ROW][C]0.06[/C][C]21.8190701877168[/C][C]0.500894936644194[/C][/ROW]
[ROW][C]0.07[/C][C]22.0777677548967[/C][C]0.47019648856866[/C][/ROW]
[ROW][C]0.08[/C][C]22.3030112843029[/C][C]0.441385133180118[/C][/ROW]
[ROW][C]0.09[/C][C]22.5011225521164[/C][C]0.412833505287165[/C][/ROW]
[ROW][C]0.1[/C][C]22.6764913875903[/C][C]0.385563790061604[/C][/ROW]
[ROW][C]0.11[/C][C]22.8326883527708[/C][C]0.361083728039712[/C][/ROW]
[ROW][C]0.12[/C][C]22.9728146517826[/C][C]0.339550345916678[/C][/ROW]
[ROW][C]0.13[/C][C]23.0993922828245[/C][C]0.319890261623155[/C][/ROW]
[ROW][C]0.14[/C][C]23.2143789714976[/C][C]0.301448843629217[/C][/ROW]
[ROW][C]0.15[/C][C]23.3195041121566[/C][C]0.28529154668635[/C][/ROW]
[ROW][C]0.16[/C][C]23.4167143613337[/C][C]0.273896472256883[/C][/ROW]
[ROW][C]0.17[/C][C]23.5083812860667[/C][C]0.269837938114572[/C][/ROW]
[ROW][C]0.18[/C][C]23.5970810861024[/C][C]0.273655208666103[/C][/ROW]
[ROW][C]0.19[/C][C]23.6850473354413[/C][C]0.283122959285322[/C][/ROW]
[ROW][C]0.2[/C][C]23.7736135884554[/C][C]0.293857438927399[/C][/ROW]
[ROW][C]0.21[/C][C]23.8629729918813[/C][C]0.301652348854867[/C][/ROW]
[ROW][C]0.22[/C][C]23.952396108061[/C][C]0.304267726082253[/C][/ROW]
[ROW][C]0.23[/C][C]24.0407932266724[/C][C]0.302036533710715[/C][/ROW]
[ROW][C]0.24[/C][C]24.1273383356265[/C][C]0.297613684883813[/C][/ROW]
[ROW][C]0.25[/C][C]24.2118727813249[/C][C]0.294454007937614[/C][/ROW]
[ROW][C]0.26[/C][C]24.2949506711907[/C][C]0.295175165941111[/C][/ROW]
[ROW][C]0.27[/C][C]24.3775735009109[/C][C]0.300446413098016[/C][/ROW]
[ROW][C]0.28[/C][C]24.460785916105[/C][C]0.309326062605833[/C][/ROW]
[ROW][C]0.29[/C][C]24.5453219786608[/C][C]0.319639077554881[/C][/ROW]
[ROW][C]0.3[/C][C]24.6314220571011[/C][C]0.329176315698407[/C][/ROW]
[ROW][C]0.31[/C][C]24.7188413665422[/C][C]0.33630344537401[/C][/ROW]
[ROW][C]0.32[/C][C]24.8069956514455[/C][C]0.340270957870845[/C][/ROW]
[ROW][C]0.33[/C][C]24.895162164808[/C][C]0.341032929952302[/C][/ROW]
[ROW][C]0.34[/C][C]24.9826685627162[/C][C]0.339273192808947[/C][/ROW]
[ROW][C]0.35[/C][C]25.0690351218207[/C][C]0.335856710016255[/C][/ROW]
[ROW][C]0.36[/C][C]25.1540637005696[/C][C]0.332253102923004[/C][/ROW]
[ROW][C]0.37[/C][C]25.2378786536588[/C][C]0.329619842426215[/C][/ROW]
[ROW][C]0.38[/C][C]25.3209224727345[/C][C]0.329363195139424[/C][/ROW]
[ROW][C]0.39[/C][C]25.4039023441506[/C][C]0.332504375616656[/C][/ROW]
[ROW][C]0.4[/C][C]25.4876834295483[/C][C]0.339580655541333[/C][/ROW]
[ROW][C]0.41[/C][C]25.573135043823[/C][C]0.350233706910551[/C][/ROW]
[ROW][C]0.42[/C][C]25.660953735611[/C][C]0.363314810536723[/C][/ROW]
[ROW][C]0.43[/C][C]25.7515035106869[/C][C]0.376911198660004[/C][/ROW]
[ROW][C]0.44[/C][C]25.8447181300631[/C][C]0.388995720933031[/C][/ROW]
[ROW][C]0.45[/C][C]25.9400981067535[/C][C]0.397667992589439[/C][/ROW]
[ROW][C]0.46[/C][C]26.0368081178886[/C][C]0.401747633152787[/C][/ROW]
[ROW][C]0.47[/C][C]26.1338488284897[/C][C]0.400994402048178[/C][/ROW]
[ROW][C]0.48[/C][C]26.2302534316471[/C][C]0.396151295569654[/C][/ROW]
[ROW][C]0.49[/C][C]26.3252533262142[/C][C]0.388524812531091[/C][/ROW]
[ROW][C]0.5[/C][C]26.4183713049145[/C][C]0.37957923466331[/C][/ROW]
[ROW][C]0.51[/C][C]26.5094279219486[/C][C]0.370555248144943[/C][/ROW]
[ROW][C]0.52[/C][C]26.5984757515714[/C][C]0.362299653760358[/C][/ROW]
[ROW][C]0.53[/C][C]26.6856958870705[/C][C]0.35503174929716[/C][/ROW]
[ROW][C]0.54[/C][C]26.7712953181028[/C][C]0.348534598866595[/C][/ROW]
[ROW][C]0.55[/C][C]26.8554338732714[/C][C]0.342414019780994[/C][/ROW]
[ROW][C]0.56[/C][C]26.9381919446446[/C][C]0.336249745103876[/C][/ROW]
[ROW][C]0.57[/C][C]27.0195739130447[/C][C]0.329775490935741[/C][/ROW]
[ROW][C]0.58[/C][C]27.0995336582131[/C][C]0.322863570298763[/C][/ROW]
[ROW][C]0.59[/C][C]27.1780094687375[/C][C]0.315616760859751[/C][/ROW]
[ROW][C]0.6[/C][C]27.2549625608462[/C][C]0.308097203787636[/C][/ROW]
[ROW][C]0.61[/C][C]27.3304199238406[/C][C]0.300681167807257[/C][/ROW]
[ROW][C]0.62[/C][C]27.4045230263396[/C][C]0.293762542076985[/C][/ROW]
[ROW][C]0.63[/C][C]27.4775780028167[/C][C]0.288164525256112[/C][/ROW]
[ROW][C]0.64[/C][C]27.5500940798538[/C][C]0.284769522993515[/C][/ROW]
[ROW][C]0.65[/C][C]27.6227913924843[/C][C]0.284512866520623[/C][/ROW]
[ROW][C]0.66[/C][C]27.696562008847[/C][C]0.288051322005895[/C][/ROW]
[ROW][C]0.67[/C][C]27.7723805212192[/C][C]0.295439037321754[/C][/ROW]
[ROW][C]0.68[/C][C]27.8511811645524[/C][C]0.306212570100191[/C][/ROW]
[ROW][C]0.69[/C][C]27.9337427884002[/C][C]0.319353423755594[/C][/ROW]
[ROW][C]0.7[/C][C]28.0206440257958[/C][C]0.333677526423248[/C][/ROW]
[ROW][C]0.71[/C][C]28.1123572469463[/C][C]0.348509450011343[/C][/ROW]
[ROW][C]0.72[/C][C]28.2095262019399[/C][C]0.364588138568492[/C][/ROW]
[ROW][C]0.73[/C][C]28.3134066184399[/C][C]0.384663849173176[/C][/ROW]
[ROW][C]0.74[/C][C]28.4263459942345[/C][C]0.413636679070522[/C][/ROW]
[ROW][C]0.75[/C][C]28.5520726642803[/C][C]0.457387909055636[/C][/ROW]
[ROW][C]0.76[/C][C]28.6955185163026[/C][C]0.520034236561095[/C][/ROW]
[ROW][C]0.77[/C][C]28.8619820500206[/C][C]0.600877071024393[/C][/ROW]
[ROW][C]0.78[/C][C]29.0556722785918[/C][C]0.692594972879261[/C][/ROW]
[ROW][C]0.79[/C][C]29.2779933269404[/C][C]0.781854949795418[/C][/ROW]
[ROW][C]0.8[/C][C]29.5261792470491[/C][C]0.852256429377128[/C][/ROW]
[ROW][C]0.81[/C][C]29.7928978471322[/C][C]0.88898882195233[/C][/ROW]
[ROW][C]0.82[/C][C]30.0671462215193[/C][C]0.883146772734632[/C][/ROW]
[ROW][C]0.83[/C][C]30.3362794963345[/C][C]0.834478861293022[/C][/ROW]
[ROW][C]0.84[/C][C]30.5886022371427[/C][C]0.751288381302951[/C][/ROW]
[ROW][C]0.85[/C][C]30.8158222518493[/C][C]0.648185371091154[/C][/ROW]
[ROW][C]0.86[/C][C]31.0148286032966[/C][C]0.542837573656498[/C][/ROW]
[ROW][C]0.87[/C][C]31.1885168632627[/C][C]0.453050308514244[/C][/ROW]
[ROW][C]0.88[/C][C]31.3455254897045[/C][C]0.394414091948979[/C][/ROW]
[ROW][C]0.89[/C][C]31.4987167532868[/C][C]0.376640940543032[/C][/ROW]
[ROW][C]0.9[/C][C]31.6622266880588[/C][C]0.397517194900956[/C][/ROW]
[ROW][C]0.91[/C][C]31.8473101336434[/C][C]0.44036323408216[/C][/ROW]
[ROW][C]0.92[/C][C]32.0583800068024[/C][C]0.479925004982003[/C][/ROW]
[ROW][C]0.93[/C][C]32.292189235177[/C][C]0.494675142252067[/C][/ROW]
[ROW][C]0.94[/C][C]32.5427586691422[/C][C]0.482378581378869[/C][/ROW]
[ROW][C]0.95[/C][C]32.8092057181579[/C][C]0.464978444845635[/C][/ROW]
[ROW][C]0.96[/C][C]33.0968034688305[/C][C]0.457165942073824[/C][/ROW]
[ROW][C]0.97[/C][C]33.419441209351[/C][C]0.431738595323796[/C][/ROW]
[ROW][C]0.98[/C][C]33.885710062453[/C][C]0.474342778486647[/C][/ROW]
[ROW][C]0.99[/C][C]34.8302244228988[/C][C]1.13377728275861[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128049&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128049&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0120.17426401425970.194140731772073
0.0220.42895702530410.417941630514395
0.0320.78978530607310.542799445490896
0.0421.17059163792970.564061777100915
0.0521.51840569872020.535935342188877
0.0621.81907018771680.500894936644194
0.0722.07776775489670.47019648856866
0.0822.30301128430290.441385133180118
0.0922.50112255211640.412833505287165
0.122.67649138759030.385563790061604
0.1122.83268835277080.361083728039712
0.1222.97281465178260.339550345916678
0.1323.09939228282450.319890261623155
0.1423.21437897149760.301448843629217
0.1523.31950411215660.28529154668635
0.1623.41671436133370.273896472256883
0.1723.50838128606670.269837938114572
0.1823.59708108610240.273655208666103
0.1923.68504733544130.283122959285322
0.223.77361358845540.293857438927399
0.2123.86297299188130.301652348854867
0.2223.9523961080610.304267726082253
0.2324.04079322667240.302036533710715
0.2424.12733833562650.297613684883813
0.2524.21187278132490.294454007937614
0.2624.29495067119070.295175165941111
0.2724.37757350091090.300446413098016
0.2824.4607859161050.309326062605833
0.2924.54532197866080.319639077554881
0.324.63142205710110.329176315698407
0.3124.71884136654220.33630344537401
0.3224.80699565144550.340270957870845
0.3324.8951621648080.341032929952302
0.3424.98266856271620.339273192808947
0.3525.06903512182070.335856710016255
0.3625.15406370056960.332253102923004
0.3725.23787865365880.329619842426215
0.3825.32092247273450.329363195139424
0.3925.40390234415060.332504375616656
0.425.48768342954830.339580655541333
0.4125.5731350438230.350233706910551
0.4225.6609537356110.363314810536723
0.4325.75150351068690.376911198660004
0.4425.84471813006310.388995720933031
0.4525.94009810675350.397667992589439
0.4626.03680811788860.401747633152787
0.4726.13384882848970.400994402048178
0.4826.23025343164710.396151295569654
0.4926.32525332621420.388524812531091
0.526.41837130491450.37957923466331
0.5126.50942792194860.370555248144943
0.5226.59847575157140.362299653760358
0.5326.68569588707050.35503174929716
0.5426.77129531810280.348534598866595
0.5526.85543387327140.342414019780994
0.5626.93819194464460.336249745103876
0.5727.01957391304470.329775490935741
0.5827.09953365821310.322863570298763
0.5927.17800946873750.315616760859751
0.627.25496256084620.308097203787636
0.6127.33041992384060.300681167807257
0.6227.40452302633960.293762542076985
0.6327.47757800281670.288164525256112
0.6427.55009407985380.284769522993515
0.6527.62279139248430.284512866520623
0.6627.6965620088470.288051322005895
0.6727.77238052121920.295439037321754
0.6827.85118116455240.306212570100191
0.6927.93374278840020.319353423755594
0.728.02064402579580.333677526423248
0.7128.11235724694630.348509450011343
0.7228.20952620193990.364588138568492
0.7328.31340661843990.384663849173176
0.7428.42634599423450.413636679070522
0.7528.55207266428030.457387909055636
0.7628.69551851630260.520034236561095
0.7728.86198205002060.600877071024393
0.7829.05567227859180.692594972879261
0.7929.27799332694040.781854949795418
0.829.52617924704910.852256429377128
0.8129.79289784713220.88898882195233
0.8230.06714622151930.883146772734632
0.8330.33627949633450.834478861293022
0.8430.58860223714270.751288381302951
0.8530.81582225184930.648185371091154
0.8631.01482860329660.542837573656498
0.8731.18851686326270.453050308514244
0.8831.34552548970450.394414091948979
0.8931.49871675328680.376640940543032
0.931.66222668805880.397517194900956
0.9131.84731013364340.44036323408216
0.9232.05838000680240.479925004982003
0.9332.2921892351770.494675142252067
0.9432.54275866914220.482378581378869
0.9532.80920571815790.464978444845635
0.9633.09680346883050.457165942073824
0.9733.4194412093510.431738595323796
0.9833.8857100624530.474342778486647
0.9934.83022442289881.13377728275861


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')