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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 computationFri, 26 Feb 2016 20:32:57 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Feb/26/t1456518790aqapygon8wj9yht.htm/, Retrieved Thu, 02 May 2024 14:30:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292798, Retrieved Thu, 02 May 2024 14:30:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact48

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] [] [2016-02-26 20:32:57] [3b4b14340a49fc08510bf0d59f03d4db] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
96,44
96,35
96,4
96,66
96,95
97,14
97,27
97,34
97,42
97,47
97,29
97,36
97,47
97,48
97,84
97,9
97,53
97,61
97,73
97,76
97,87
97,85
98,13
98,21
98,3
98,34
98,38
98,42
98,16
98,18
98,22
98,29
98,45
98,54
98,54
98,78
98,84
99,14
99,2
99,33
98,56
98,65
98,77
98,82
98,9
98,89
98,9
99,07
99,09
99,12
99,03
99
99,21
99,35
99,37
99,39
99,41
99,43
99,6
99,73
99,78
99,8
99,88
99,74
100,15
100,27
100,26
100,36
100,37
100,54
99,8
99,82
99,82
99,82
99,67
99,78
99,44
99,61
99,71
99,71
99,77
99,77
99,89
99,96
100,02
100
100,04
99,99
99,97
99,77
99,93
99,9
100,01
100,08
100,21
100,28
100,48
100,72
100,74
100,88
101,03
101,47
101,46
101,46
101,45
101,74
102,41
102,54
102,67
102,87
102,9
102,88
102,82
102,94
102,97
103,01
103,11
103,21
104,66
104,79

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292798&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292798&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292798&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0196.40547255586110.102377073718935
0.0296.53258733296150.221575777298321
0.0396.71323565524590.298813810340472
0.0496.90607236036720.296350457692714
0.0597.073205845260.245038528566897
0.0697.20023111001180.187003635617286
0.0797.29209308424860.145893926306898
0.0897.36094687097710.126600835101803
0.0997.41814150442840.124852118254687
0.197.47162853410190.134654770454899
0.1197.52612803077850.150992273220879
0.1297.58392376364040.169283749636844
0.1397.6455643804680.185770974739622
0.1497.71047245807160.198865255682391
0.1597.77750810513520.207906422553586
0.1697.84540259660690.213354216872384
0.1797.9129839350150.215295327420708
0.1897.97923700155010.213849754330154
0.1998.04332082326770.209399632285552
0.298.10463169665760.202666982301634
0.2198.16290595090350.195064171756414
0.2298.21829110050910.188627404989345
0.2398.27132092375010.184813197530258
0.2498.3227849554040.184314015423947
0.2598.37353655566140.186895297738238
0.2698.42430426413570.191635984203654
0.2798.47555820254340.197416901435474
0.2898.52745502882810.202474366918768
0.2998.57985899526180.206203244286108
0.398.63242051382050.207797167447717
0.3198.6846863782820.207357730145766
0.3298.73621430235560.20476285486606
0.3398.78666724707610.201104568398655
0.3498.83587012295160.197013841443225
0.3598.88382215522060.193401456187886
0.3698.93066988414920.190464802981113
0.3798.97665479301950.188688716617426
0.3899.02205321136290.188229185045067
0.3999.06712404621090.188462977326144
0.499.11207384184010.189425792331186
0.4199.15704135125520.190649734151072
0.4299.20209750969840.19191851816715
0.4399.24725278715430.192977090885356
0.4499.29246297665050.193766120031067
0.4599.33762670503860.193831061949443
0.4699.38257292395780.193010709183427
0.4799.42704300422210.191001707587022
0.4899.47067748945860.187051558005803
0.4999.51301948291040.180893259274774
0.599.55354350326710.172227395728756
0.5199.59171102216020.161050261019606
0.5299.62704452168870.147696512811376
0.5399.65920452069490.133106327420495
0.5499.68805158187130.118050985037377
0.5599.71367865977040.103890671325843
0.5699.73640675191150.0914239107131396
0.5799.75674572609430.0816484186562968
0.5899.77532953563260.0751218214951694
0.5999.79283914507890.0715171111815339
0.699.80992725086260.0708332277154539
0.6199.82715719276240.072347114954129
0.6299.84496536874550.0753744934884377
0.6399.8636525619760.0792432137604947
0.6499.88340489222870.0835795806315452
0.6599.90433957507620.0878967953719381
0.6699.92656488671880.0924259981138769
0.6799.95023928121450.0975641506671493
0.6899.9756138099280.103760374581683
0.69100.0030468159250.111490037800953
0.7100.0329904027140.12094366582348
0.71100.0659614578930.132393910562638
0.72100.1025202854980.145347860283892
0.73100.1432807290590.160238484638436
0.74100.1889634320950.177184507244521
0.75100.2404808599320.197042243013915
0.76100.2990176469960.220749089759186
0.77100.3660552164960.249415634424447
0.78100.4432968036440.283517606490373
0.79100.5324833365110.322495528068677
0.8100.6351468649560.364718330659891
0.81100.7524051874920.40775976092318
0.82100.8849182349090.449283894962597
0.83101.0330542721020.488299058337313
0.84101.1971356307040.525134575703056
0.85101.3774275580480.560721891433767
0.86101.5734904406870.593192535978761
0.87101.7828281419370.61545485248481
0.88101.999400794720.615727546669587
0.89102.2131218844640.582552267029226
0.9102.4113422163070.512240534726517
0.91102.5823165547470.413505135800425
0.92102.7193245732610.305372605724084
0.93102.8236424741520.210175389761167
0.94102.9060079047980.146727946814425
0.95102.9899445855810.133859960525997
0.96103.1234564555520.209313772135804
0.97103.3921265357210.42572578343451
0.98103.8723969680810.707036105721956
0.99104.4563129517570.62756551959786

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 96.4054725558611 & 0.102377073718935 \tabularnewline
0.02 & 96.5325873329615 & 0.221575777298321 \tabularnewline
0.03 & 96.7132356552459 & 0.298813810340472 \tabularnewline
0.04 & 96.9060723603672 & 0.296350457692714 \tabularnewline
0.05 & 97.07320584526 & 0.245038528566897 \tabularnewline
0.06 & 97.2002311100118 & 0.187003635617286 \tabularnewline
0.07 & 97.2920930842486 & 0.145893926306898 \tabularnewline
0.08 & 97.3609468709771 & 0.126600835101803 \tabularnewline
0.09 & 97.4181415044284 & 0.124852118254687 \tabularnewline
0.1 & 97.4716285341019 & 0.134654770454899 \tabularnewline
0.11 & 97.5261280307785 & 0.150992273220879 \tabularnewline
0.12 & 97.5839237636404 & 0.169283749636844 \tabularnewline
0.13 & 97.645564380468 & 0.185770974739622 \tabularnewline
0.14 & 97.7104724580716 & 0.198865255682391 \tabularnewline
0.15 & 97.7775081051352 & 0.207906422553586 \tabularnewline
0.16 & 97.8454025966069 & 0.213354216872384 \tabularnewline
0.17 & 97.912983935015 & 0.215295327420708 \tabularnewline
0.18 & 97.9792370015501 & 0.213849754330154 \tabularnewline
0.19 & 98.0433208232677 & 0.209399632285552 \tabularnewline
0.2 & 98.1046316966576 & 0.202666982301634 \tabularnewline
0.21 & 98.1629059509035 & 0.195064171756414 \tabularnewline
0.22 & 98.2182911005091 & 0.188627404989345 \tabularnewline
0.23 & 98.2713209237501 & 0.184813197530258 \tabularnewline
0.24 & 98.322784955404 & 0.184314015423947 \tabularnewline
0.25 & 98.3735365556614 & 0.186895297738238 \tabularnewline
0.26 & 98.4243042641357 & 0.191635984203654 \tabularnewline
0.27 & 98.4755582025434 & 0.197416901435474 \tabularnewline
0.28 & 98.5274550288281 & 0.202474366918768 \tabularnewline
0.29 & 98.5798589952618 & 0.206203244286108 \tabularnewline
0.3 & 98.6324205138205 & 0.207797167447717 \tabularnewline
0.31 & 98.684686378282 & 0.207357730145766 \tabularnewline
0.32 & 98.7362143023556 & 0.20476285486606 \tabularnewline
0.33 & 98.7866672470761 & 0.201104568398655 \tabularnewline
0.34 & 98.8358701229516 & 0.197013841443225 \tabularnewline
0.35 & 98.8838221552206 & 0.193401456187886 \tabularnewline
0.36 & 98.9306698841492 & 0.190464802981113 \tabularnewline
0.37 & 98.9766547930195 & 0.188688716617426 \tabularnewline
0.38 & 99.0220532113629 & 0.188229185045067 \tabularnewline
0.39 & 99.0671240462109 & 0.188462977326144 \tabularnewline
0.4 & 99.1120738418401 & 0.189425792331186 \tabularnewline
0.41 & 99.1570413512552 & 0.190649734151072 \tabularnewline
0.42 & 99.2020975096984 & 0.19191851816715 \tabularnewline
0.43 & 99.2472527871543 & 0.192977090885356 \tabularnewline
0.44 & 99.2924629766505 & 0.193766120031067 \tabularnewline
0.45 & 99.3376267050386 & 0.193831061949443 \tabularnewline
0.46 & 99.3825729239578 & 0.193010709183427 \tabularnewline
0.47 & 99.4270430042221 & 0.191001707587022 \tabularnewline
0.48 & 99.4706774894586 & 0.187051558005803 \tabularnewline
0.49 & 99.5130194829104 & 0.180893259274774 \tabularnewline
0.5 & 99.5535435032671 & 0.172227395728756 \tabularnewline
0.51 & 99.5917110221602 & 0.161050261019606 \tabularnewline
0.52 & 99.6270445216887 & 0.147696512811376 \tabularnewline
0.53 & 99.6592045206949 & 0.133106327420495 \tabularnewline
0.54 & 99.6880515818713 & 0.118050985037377 \tabularnewline
0.55 & 99.7136786597704 & 0.103890671325843 \tabularnewline
0.56 & 99.7364067519115 & 0.0914239107131396 \tabularnewline
0.57 & 99.7567457260943 & 0.0816484186562968 \tabularnewline
0.58 & 99.7753295356326 & 0.0751218214951694 \tabularnewline
0.59 & 99.7928391450789 & 0.0715171111815339 \tabularnewline
0.6 & 99.8099272508626 & 0.0708332277154539 \tabularnewline
0.61 & 99.8271571927624 & 0.072347114954129 \tabularnewline
0.62 & 99.8449653687455 & 0.0753744934884377 \tabularnewline
0.63 & 99.863652561976 & 0.0792432137604947 \tabularnewline
0.64 & 99.8834048922287 & 0.0835795806315452 \tabularnewline
0.65 & 99.9043395750762 & 0.0878967953719381 \tabularnewline
0.66 & 99.9265648867188 & 0.0924259981138769 \tabularnewline
0.67 & 99.9502392812145 & 0.0975641506671493 \tabularnewline
0.68 & 99.975613809928 & 0.103760374581683 \tabularnewline
0.69 & 100.003046815925 & 0.111490037800953 \tabularnewline
0.7 & 100.032990402714 & 0.12094366582348 \tabularnewline
0.71 & 100.065961457893 & 0.132393910562638 \tabularnewline
0.72 & 100.102520285498 & 0.145347860283892 \tabularnewline
0.73 & 100.143280729059 & 0.160238484638436 \tabularnewline
0.74 & 100.188963432095 & 0.177184507244521 \tabularnewline
0.75 & 100.240480859932 & 0.197042243013915 \tabularnewline
0.76 & 100.299017646996 & 0.220749089759186 \tabularnewline
0.77 & 100.366055216496 & 0.249415634424447 \tabularnewline
0.78 & 100.443296803644 & 0.283517606490373 \tabularnewline
0.79 & 100.532483336511 & 0.322495528068677 \tabularnewline
0.8 & 100.635146864956 & 0.364718330659891 \tabularnewline
0.81 & 100.752405187492 & 0.40775976092318 \tabularnewline
0.82 & 100.884918234909 & 0.449283894962597 \tabularnewline
0.83 & 101.033054272102 & 0.488299058337313 \tabularnewline
0.84 & 101.197135630704 & 0.525134575703056 \tabularnewline
0.85 & 101.377427558048 & 0.560721891433767 \tabularnewline
0.86 & 101.573490440687 & 0.593192535978761 \tabularnewline
0.87 & 101.782828141937 & 0.61545485248481 \tabularnewline
0.88 & 101.99940079472 & 0.615727546669587 \tabularnewline
0.89 & 102.213121884464 & 0.582552267029226 \tabularnewline
0.9 & 102.411342216307 & 0.512240534726517 \tabularnewline
0.91 & 102.582316554747 & 0.413505135800425 \tabularnewline
0.92 & 102.719324573261 & 0.305372605724084 \tabularnewline
0.93 & 102.823642474152 & 0.210175389761167 \tabularnewline
0.94 & 102.906007904798 & 0.146727946814425 \tabularnewline
0.95 & 102.989944585581 & 0.133859960525997 \tabularnewline
0.96 & 103.123456455552 & 0.209313772135804 \tabularnewline
0.97 & 103.392126535721 & 0.42572578343451 \tabularnewline
0.98 & 103.872396968081 & 0.707036105721956 \tabularnewline
0.99 & 104.456312951757 & 0.62756551959786 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292798&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]96.4054725558611[/C][C]0.102377073718935[/C][/ROW]
[ROW][C]0.02[/C][C]96.5325873329615[/C][C]0.221575777298321[/C][/ROW]
[ROW][C]0.03[/C][C]96.7132356552459[/C][C]0.298813810340472[/C][/ROW]
[ROW][C]0.04[/C][C]96.9060723603672[/C][C]0.296350457692714[/C][/ROW]
[ROW][C]0.05[/C][C]97.07320584526[/C][C]0.245038528566897[/C][/ROW]
[ROW][C]0.06[/C][C]97.2002311100118[/C][C]0.187003635617286[/C][/ROW]
[ROW][C]0.07[/C][C]97.2920930842486[/C][C]0.145893926306898[/C][/ROW]
[ROW][C]0.08[/C][C]97.3609468709771[/C][C]0.126600835101803[/C][/ROW]
[ROW][C]0.09[/C][C]97.4181415044284[/C][C]0.124852118254687[/C][/ROW]
[ROW][C]0.1[/C][C]97.4716285341019[/C][C]0.134654770454899[/C][/ROW]
[ROW][C]0.11[/C][C]97.5261280307785[/C][C]0.150992273220879[/C][/ROW]
[ROW][C]0.12[/C][C]97.5839237636404[/C][C]0.169283749636844[/C][/ROW]
[ROW][C]0.13[/C][C]97.645564380468[/C][C]0.185770974739622[/C][/ROW]
[ROW][C]0.14[/C][C]97.7104724580716[/C][C]0.198865255682391[/C][/ROW]
[ROW][C]0.15[/C][C]97.7775081051352[/C][C]0.207906422553586[/C][/ROW]
[ROW][C]0.16[/C][C]97.8454025966069[/C][C]0.213354216872384[/C][/ROW]
[ROW][C]0.17[/C][C]97.912983935015[/C][C]0.215295327420708[/C][/ROW]
[ROW][C]0.18[/C][C]97.9792370015501[/C][C]0.213849754330154[/C][/ROW]
[ROW][C]0.19[/C][C]98.0433208232677[/C][C]0.209399632285552[/C][/ROW]
[ROW][C]0.2[/C][C]98.1046316966576[/C][C]0.202666982301634[/C][/ROW]
[ROW][C]0.21[/C][C]98.1629059509035[/C][C]0.195064171756414[/C][/ROW]
[ROW][C]0.22[/C][C]98.2182911005091[/C][C]0.188627404989345[/C][/ROW]
[ROW][C]0.23[/C][C]98.2713209237501[/C][C]0.184813197530258[/C][/ROW]
[ROW][C]0.24[/C][C]98.322784955404[/C][C]0.184314015423947[/C][/ROW]
[ROW][C]0.25[/C][C]98.3735365556614[/C][C]0.186895297738238[/C][/ROW]
[ROW][C]0.26[/C][C]98.4243042641357[/C][C]0.191635984203654[/C][/ROW]
[ROW][C]0.27[/C][C]98.4755582025434[/C][C]0.197416901435474[/C][/ROW]
[ROW][C]0.28[/C][C]98.5274550288281[/C][C]0.202474366918768[/C][/ROW]
[ROW][C]0.29[/C][C]98.5798589952618[/C][C]0.206203244286108[/C][/ROW]
[ROW][C]0.3[/C][C]98.6324205138205[/C][C]0.207797167447717[/C][/ROW]
[ROW][C]0.31[/C][C]98.684686378282[/C][C]0.207357730145766[/C][/ROW]
[ROW][C]0.32[/C][C]98.7362143023556[/C][C]0.20476285486606[/C][/ROW]
[ROW][C]0.33[/C][C]98.7866672470761[/C][C]0.201104568398655[/C][/ROW]
[ROW][C]0.34[/C][C]98.8358701229516[/C][C]0.197013841443225[/C][/ROW]
[ROW][C]0.35[/C][C]98.8838221552206[/C][C]0.193401456187886[/C][/ROW]
[ROW][C]0.36[/C][C]98.9306698841492[/C][C]0.190464802981113[/C][/ROW]
[ROW][C]0.37[/C][C]98.9766547930195[/C][C]0.188688716617426[/C][/ROW]
[ROW][C]0.38[/C][C]99.0220532113629[/C][C]0.188229185045067[/C][/ROW]
[ROW][C]0.39[/C][C]99.0671240462109[/C][C]0.188462977326144[/C][/ROW]
[ROW][C]0.4[/C][C]99.1120738418401[/C][C]0.189425792331186[/C][/ROW]
[ROW][C]0.41[/C][C]99.1570413512552[/C][C]0.190649734151072[/C][/ROW]
[ROW][C]0.42[/C][C]99.2020975096984[/C][C]0.19191851816715[/C][/ROW]
[ROW][C]0.43[/C][C]99.2472527871543[/C][C]0.192977090885356[/C][/ROW]
[ROW][C]0.44[/C][C]99.2924629766505[/C][C]0.193766120031067[/C][/ROW]
[ROW][C]0.45[/C][C]99.3376267050386[/C][C]0.193831061949443[/C][/ROW]
[ROW][C]0.46[/C][C]99.3825729239578[/C][C]0.193010709183427[/C][/ROW]
[ROW][C]0.47[/C][C]99.4270430042221[/C][C]0.191001707587022[/C][/ROW]
[ROW][C]0.48[/C][C]99.4706774894586[/C][C]0.187051558005803[/C][/ROW]
[ROW][C]0.49[/C][C]99.5130194829104[/C][C]0.180893259274774[/C][/ROW]
[ROW][C]0.5[/C][C]99.5535435032671[/C][C]0.172227395728756[/C][/ROW]
[ROW][C]0.51[/C][C]99.5917110221602[/C][C]0.161050261019606[/C][/ROW]
[ROW][C]0.52[/C][C]99.6270445216887[/C][C]0.147696512811376[/C][/ROW]
[ROW][C]0.53[/C][C]99.6592045206949[/C][C]0.133106327420495[/C][/ROW]
[ROW][C]0.54[/C][C]99.6880515818713[/C][C]0.118050985037377[/C][/ROW]
[ROW][C]0.55[/C][C]99.7136786597704[/C][C]0.103890671325843[/C][/ROW]
[ROW][C]0.56[/C][C]99.7364067519115[/C][C]0.0914239107131396[/C][/ROW]
[ROW][C]0.57[/C][C]99.7567457260943[/C][C]0.0816484186562968[/C][/ROW]
[ROW][C]0.58[/C][C]99.7753295356326[/C][C]0.0751218214951694[/C][/ROW]
[ROW][C]0.59[/C][C]99.7928391450789[/C][C]0.0715171111815339[/C][/ROW]
[ROW][C]0.6[/C][C]99.8099272508626[/C][C]0.0708332277154539[/C][/ROW]
[ROW][C]0.61[/C][C]99.8271571927624[/C][C]0.072347114954129[/C][/ROW]
[ROW][C]0.62[/C][C]99.8449653687455[/C][C]0.0753744934884377[/C][/ROW]
[ROW][C]0.63[/C][C]99.863652561976[/C][C]0.0792432137604947[/C][/ROW]
[ROW][C]0.64[/C][C]99.8834048922287[/C][C]0.0835795806315452[/C][/ROW]
[ROW][C]0.65[/C][C]99.9043395750762[/C][C]0.0878967953719381[/C][/ROW]
[ROW][C]0.66[/C][C]99.9265648867188[/C][C]0.0924259981138769[/C][/ROW]
[ROW][C]0.67[/C][C]99.9502392812145[/C][C]0.0975641506671493[/C][/ROW]
[ROW][C]0.68[/C][C]99.975613809928[/C][C]0.103760374581683[/C][/ROW]
[ROW][C]0.69[/C][C]100.003046815925[/C][C]0.111490037800953[/C][/ROW]
[ROW][C]0.7[/C][C]100.032990402714[/C][C]0.12094366582348[/C][/ROW]
[ROW][C]0.71[/C][C]100.065961457893[/C][C]0.132393910562638[/C][/ROW]
[ROW][C]0.72[/C][C]100.102520285498[/C][C]0.145347860283892[/C][/ROW]
[ROW][C]0.73[/C][C]100.143280729059[/C][C]0.160238484638436[/C][/ROW]
[ROW][C]0.74[/C][C]100.188963432095[/C][C]0.177184507244521[/C][/ROW]
[ROW][C]0.75[/C][C]100.240480859932[/C][C]0.197042243013915[/C][/ROW]
[ROW][C]0.76[/C][C]100.299017646996[/C][C]0.220749089759186[/C][/ROW]
[ROW][C]0.77[/C][C]100.366055216496[/C][C]0.249415634424447[/C][/ROW]
[ROW][C]0.78[/C][C]100.443296803644[/C][C]0.283517606490373[/C][/ROW]
[ROW][C]0.79[/C][C]100.532483336511[/C][C]0.322495528068677[/C][/ROW]
[ROW][C]0.8[/C][C]100.635146864956[/C][C]0.364718330659891[/C][/ROW]
[ROW][C]0.81[/C][C]100.752405187492[/C][C]0.40775976092318[/C][/ROW]
[ROW][C]0.82[/C][C]100.884918234909[/C][C]0.449283894962597[/C][/ROW]
[ROW][C]0.83[/C][C]101.033054272102[/C][C]0.488299058337313[/C][/ROW]
[ROW][C]0.84[/C][C]101.197135630704[/C][C]0.525134575703056[/C][/ROW]
[ROW][C]0.85[/C][C]101.377427558048[/C][C]0.560721891433767[/C][/ROW]
[ROW][C]0.86[/C][C]101.573490440687[/C][C]0.593192535978761[/C][/ROW]
[ROW][C]0.87[/C][C]101.782828141937[/C][C]0.61545485248481[/C][/ROW]
[ROW][C]0.88[/C][C]101.99940079472[/C][C]0.615727546669587[/C][/ROW]
[ROW][C]0.89[/C][C]102.213121884464[/C][C]0.582552267029226[/C][/ROW]
[ROW][C]0.9[/C][C]102.411342216307[/C][C]0.512240534726517[/C][/ROW]
[ROW][C]0.91[/C][C]102.582316554747[/C][C]0.413505135800425[/C][/ROW]
[ROW][C]0.92[/C][C]102.719324573261[/C][C]0.305372605724084[/C][/ROW]
[ROW][C]0.93[/C][C]102.823642474152[/C][C]0.210175389761167[/C][/ROW]
[ROW][C]0.94[/C][C]102.906007904798[/C][C]0.146727946814425[/C][/ROW]
[ROW][C]0.95[/C][C]102.989944585581[/C][C]0.133859960525997[/C][/ROW]
[ROW][C]0.96[/C][C]103.123456455552[/C][C]0.209313772135804[/C][/ROW]
[ROW][C]0.97[/C][C]103.392126535721[/C][C]0.42572578343451[/C][/ROW]
[ROW][C]0.98[/C][C]103.872396968081[/C][C]0.707036105721956[/C][/ROW]
[ROW][C]0.99[/C][C]104.456312951757[/C][C]0.62756551959786[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292798&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292798&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
0.0196.40547255586110.102377073718935
0.0296.53258733296150.221575777298321
0.0396.71323565524590.298813810340472
0.0496.90607236036720.296350457692714
0.0597.073205845260.245038528566897
0.0697.20023111001180.187003635617286
0.0797.29209308424860.145893926306898
0.0897.36094687097710.126600835101803
0.0997.41814150442840.124852118254687
0.197.47162853410190.134654770454899
0.1197.52612803077850.150992273220879
0.1297.58392376364040.169283749636844
0.1397.6455643804680.185770974739622
0.1497.71047245807160.198865255682391
0.1597.77750810513520.207906422553586
0.1697.84540259660690.213354216872384
0.1797.9129839350150.215295327420708
0.1897.97923700155010.213849754330154
0.1998.04332082326770.209399632285552
0.298.10463169665760.202666982301634
0.2198.16290595090350.195064171756414
0.2298.21829110050910.188627404989345
0.2398.27132092375010.184813197530258
0.2498.3227849554040.184314015423947
0.2598.37353655566140.186895297738238
0.2698.42430426413570.191635984203654
0.2798.47555820254340.197416901435474
0.2898.52745502882810.202474366918768
0.2998.57985899526180.206203244286108
0.398.63242051382050.207797167447717
0.3198.6846863782820.207357730145766
0.3298.73621430235560.20476285486606
0.3398.78666724707610.201104568398655
0.3498.83587012295160.197013841443225
0.3598.88382215522060.193401456187886
0.3698.93066988414920.190464802981113
0.3798.97665479301950.188688716617426
0.3899.02205321136290.188229185045067
0.3999.06712404621090.188462977326144
0.499.11207384184010.189425792331186
0.4199.15704135125520.190649734151072
0.4299.20209750969840.19191851816715
0.4399.24725278715430.192977090885356
0.4499.29246297665050.193766120031067
0.4599.33762670503860.193831061949443
0.4699.38257292395780.193010709183427
0.4799.42704300422210.191001707587022
0.4899.47067748945860.187051558005803
0.4999.51301948291040.180893259274774
0.599.55354350326710.172227395728756
0.5199.59171102216020.161050261019606
0.5299.62704452168870.147696512811376
0.5399.65920452069490.133106327420495
0.5499.68805158187130.118050985037377
0.5599.71367865977040.103890671325843
0.5699.73640675191150.0914239107131396
0.5799.75674572609430.0816484186562968
0.5899.77532953563260.0751218214951694
0.5999.79283914507890.0715171111815339
0.699.80992725086260.0708332277154539
0.6199.82715719276240.072347114954129
0.6299.84496536874550.0753744934884377
0.6399.8636525619760.0792432137604947
0.6499.88340489222870.0835795806315452
0.6599.90433957507620.0878967953719381
0.6699.92656488671880.0924259981138769
0.6799.95023928121450.0975641506671493
0.6899.9756138099280.103760374581683
0.69100.0030468159250.111490037800953
0.7100.0329904027140.12094366582348
0.71100.0659614578930.132393910562638
0.72100.1025202854980.145347860283892
0.73100.1432807290590.160238484638436
0.74100.1889634320950.177184507244521
0.75100.2404808599320.197042243013915
0.76100.2990176469960.220749089759186
0.77100.3660552164960.249415634424447
0.78100.4432968036440.283517606490373
0.79100.5324833365110.322495528068677
0.8100.6351468649560.364718330659891
0.81100.7524051874920.40775976092318
0.82100.8849182349090.449283894962597
0.83101.0330542721020.488299058337313
0.84101.1971356307040.525134575703056
0.85101.3774275580480.560721891433767
0.86101.5734904406870.593192535978761
0.87101.7828281419370.61545485248481
0.88101.999400794720.615727546669587
0.89102.2131218844640.582552267029226
0.9102.4113422163070.512240534726517
0.91102.5823165547470.413505135800425
0.92102.7193245732610.305372605724084
0.93102.8236424741520.210175389761167
0.94102.9060079047980.146727946814425
0.95102.9899445855810.133859960525997
0.96103.1234564555520.209313772135804
0.97103.3921265357210.42572578343451
0.98103.8723969680810.707036105721956
0.99104.4563129517570.62756551959786


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')